karnatak law society’s gogte institute of technology · page 1 karnatak law society’s gogte...

KARNATAK LAW SOCIETY’S

GOGTE INSTITUTE OF TECHNOLOGY UDYAMBAG, BELAGAVI-590008

(An Autonomous Institution under Visvesvaraya Technological University, Belagavi) (APPROVED BY AICTE, NEW DELHI)

Department of Electronics and Communication Engineering

Scheme and Syllabus M.Tech. in Automotive Electronics

INSTITUTION VISION

Gogte Institute of Technology shall stand out as an institution of excellence in technical education and in training individuals for outstanding caliber, character coupled with creativity and entrepreneurial skills.

MISSION

To train the students to become Quality Engineers with High Standards of Professionalism and Ethics who have Positive Attitude, a Perfect blend of Techno-Managerial Skills and Problem solving ability with an analytical and innovative mindset.

QUALITY POLICY

Imparting value added technical education with state-of-the-art technology in a congenial, disciplined and a research oriented environment.

Fostering cultural, ethical, moral and social values in the human resources of the institution. Reinforcing our bonds with the Parents, Industry, Alumni, and to seek their suggestions for

innovating and excelling in every sphere of quality education.

DEPARTMENT VISION The Electronics & Communication Engineering department shall impart quality technical education and entrepreneurship skills to develop creative individuals to face changing global scenario.

MISSION To augment the national talent pool, with Electronics and Communication Engineers having all-encompassing technical knowledge, principled practices and nationalistic outlook.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

1. The graduates will acquire core competence in basic science and Electronics and Communication Engineering fundamentals necessary to formulate, analyze, and solve engineering problems and to pursue advanced study or research.

2. The graduates will engage in the activities that demonstrate desire for ongoing personal and professional growth and self-confidence to adapt to rapid and major changes.

3. The graduates will maintain high professionalism and ethical standards, effective oral and written communication skills, work as part of teams on multidisciplinary projects under diverse professional environments, and relate engineering issues to the society, global economy and to emerging technologies.

PROGRAM OUTCOMES (POs)

1. Fundamentals of Engineering: Graduates shall be able to understand and apply the

basic mathematical and scientific concepts in the field of Electronics and Communication Engineering.

2. Design of Experiments: Graduates shall possess the ability to design and conduct experiments, analyse and interpret data.

3. Social Engineering: Graduates shall possess the ability to identify societal problems and meaningfully contribute with optimal solutions.

4. Engineering Cognizance: Graduates shall be able to stay abreast with recent developments in the field of Electronics and Communication Engineering.

5. Modern tool Usage: Graduates shall possess critical thinking abilities, problem solving skills and familiarity with the necessary computational tools and procedures.

6. Impact of Engineering: Graduates shall be able to understand the impact of engineering solutions in a global, economic, environmental and societal context.

7. Ethics: Graduates shall imbibe the professional and ethical responsibilities of their profession.

8. Collaboration: Graduates shall have the ability to collaborate productively in multidisciplinary teams with leadership attributes.

9. Soft skills: Graduates shall possess proficiency in oral and written communication skills. 10. Entrepreneurship: Graduates shall imbibe project management and finance skills to

pursue entrepreneurial endeavours. 11. Research and Innovation: Graduates shall have the ability to pursue research and

provide innovative solutions. 12. Self motivated Learning: Graduates shall continue to upgrade the skills and possess the

motivation for continuing education and professional growth.

PROGRAM SPECIFIC OUTCOMES (PSOs)

1. Understanding and applying the mathematical and scientific concepts, for analysis and design of basic Electronics and Communication systems.

2. Developing critical thinking abilities coupled with competence in use of computational tools for professional growth; complimented with communication skills and leadership attributes.

3. Identifying societal needs and sensitizing individuals towards finding innovative solutions to contemporary issues with multidisciplinary outlook.

Scheme of Teaching Semester I

S. No. Course Code Course

Contact Hours

Contact Hours/ week

Total credits

Marks

L – T - P CIE SEE* Total

1. 17AE11 Automotive Electrical

Systems and Electronics

PC1 4 – 0– 0 4 4 50 50 100

2. 17AE12 Automotive Control System PC2 4 – 0– 0 4 4 50 50 100

3. 17AE13 Automotive Software Engineering PC3 4 – 0– 0 4 4 50 50 100

4. 17AE14 Automotive Instrumentation PC4 4 – 0– 0 4 4 50 50 100

5. 17AE15x Elective – I PE – I 4 – 0 – 0 4 4 50 50 100

6. 17AE16 Lab – 1: Automotive Instrumentation Lab L1 0 – 0 – 3 3 2 25 25 50

7. 17AE17 Seminar – 1 0 – 0 – 1 1 25 25

8. 17PTA18 Term Assignment – 1 Mini Project 0 – 0 – 2 4 2 25 25

Total 28 25 325 275 600

*SEE: SEE (Theory exam) will be conducted for 100marks of 3 hours duration. It is reduced to 50 marks for the calculation of SGPA and CGPA. Term Assignment: The performance is continuously evaluated by the faculty member and Grade is given.

Elective – I 17AE151 Reliability Engineering

17AE152 Hybrid and Propulsion Systems

17AE153 Vehicle Dynamics

17AE154 Mechatronics And Robotics Automation

Scheme of Teaching Semester II

S. No. Course Code

Course Contact Hours

Contact Hours/ week

Total credits

Marks

L – T - P CIE SEE* Total

1. 17AE21 Telematics And Infotainment System

PC1 4 – 0– 0 4 4 50 50 100

2. 17AE22 Intelligent Vehicle Technologies

PC2 4 – 0– 0 4 4 50 50 100

3. 17AE23 Automotive Networking

PC3 4 – 0– 0 4 4 50 50 100

4. 17AE24 Design of Digital Control Systems

PC4 4 – 0– 0 4 4 50 50 100

5. 17AE25x Elective – II PE – II 4 – 0 – 0 4 4 50 50 100

6. 17AE26 Lab – 2: Model Based Design Lab L2 0 – 0 – 2 3 2 25 25 50

7. 17AE27 Seminar – 2 0 – 0 – 1 1 25 25

8. 17PTA28 Term Assignment – 2 Mini Project 0 – 0 – 2 4 2 25 25

Total 28 25 325 275 600

*SEE: SEE (Theory exam) will be conducted for 100marks of 3 hours duration. It is reduced to 50 marks for the calculation of SGPA and CGPA Term Assignment: The performance is continuously evaluated by the faculty member and Grade is given.

Elective – II 17AE251 System Simulation Technology

17AE252 Safety and Security of Mechatronics Systems

17AE253 CAD Application for Automotive Engineering

17AE254 Soft Computing

Scheme of Teaching

Semester III

S. No.

Course Code

Course Contact Hours

Contact Hours/ week

Total credits

Marks

L – T - P CIE SEE* Total 1. 17AE31 Internship# 14 50 50 100

2. 17AE32 *Project Phase-1 PR 2 25 25

Total 12 16 75 50 125

SEE: SEE (Theory exam) will be conducted for 100marks of 3 hours duration. It is reduced to 50 marks for the calculation of SGPA and CGPA. Courses with L-T- P: 3- 0- 2: SEE – Theory (Lab related questions shall be set with 80T:20L). # Internship report and presentation. * Selection of topic and Literature Review

Scheme of Teaching

Semester IV

S. No. Course Code

Course Credits Total

credits

Contact Hours/ week

Marks

L – T - P CIE SEE Total

1. 17AE41 Advanced Embedded

System PC1 3 – 0 – 2 5 4 50 50 100

2. 17AE42x Elective –

III PE – III 4 – 0 – 0 4 4 50 50 100

3. 17AE43 Project Phase -2 PR 4 – 0– 0 4 2 50 (25+25) 50

4. 17AE44 Project

Phase -3 PR 4 2 50 (25+25) 50

5. 17AE45 Project

Viva-voce PR 12 150 (50+100) 150

Total 17 24 200 450

Project Phase -2 and 3: CIE- 100 marks (50 marks –Internal guide + 50 marks- presentation) Project Viva-voce: SEE- 150 marks (50 marks for report evaluation (Avg. of Internal & external examiner marks) + 100 marks viva- voce)

Elective III 17AE421 Automotive Safety and Regulations 17AE422 Automotive Chassis Design 17AE423 Electric and Hybrid Vehicles

17AE424 Advanced Automotive Fault Diagnosis

Automotive Electrical Systems and Electronics

Course Code 17AE11 Credits 4

Course type PC1 CIE Marks 50 marks

Hours/week: L-T-P 4 – 0 – 0 SEE Marks 50 marks

Total Hours: 45 SEE Duration 3 Hours for 100 marks

Course Learning Objectives (CLOs)

1. Explain batteries, starting system, charging and ignition system. 2. Understand all the sensors and actuators used in automotive systems. 3. Explain lighting and other electrical systems inside an automobile. 4. Explain the functioning of sensors and actuators. 5. Explore power train, steering and braking system.

Unit – I 9 Hours Batteries: Principles and construction of lead-acid battery. Characteristics of battery, rating capacity and efficiency of batteries. Various tests on battery condition, charging methods. Constructional aspect of alkaline battery. Starting System: Condition at starting. Behaviour of starter during starting. Series motor and its characteristics. Principle & construction of starter motor. Working of different starter drive units, care and maintenance of starter motor. Starter Switches.

Unit – II 9 Hours Charging system: Generation of direct current. Shunt generator characteristics. Armature reaction. Third brush regulation. Cut-out. Voltage & current regulators. Compensated voltage regulator alternators principle & constructional aspects and bridge benefits. Ignition Systems: Types, Construction & working of battery coil and magneto ignition systems. Relative merits, Centrifugal and vacuum advance mechanisms, types and construction of spark plugs, electronic ignition systems.

Unit – III 9 Hours Lighting system & accessories: Insulated & earth return systems. Positive & negative earth systems. Details of headlight & sidelight. Headlight dazzling & preventive methods. Electrical fuel-pump, Speedometer, Fuel, oil & temperature gauges, Horn, Wiper system

Unit – IV 9 Hours Sensors and actuators: Basic sensor arrangement, Types of sensors such as-Oxygen sensors, Crank angle position sensors. Fuel metering/vehicle speed sensor and detonation sensor-Altitude sensor, flow sensor. Throttle position sensors. Solenoids, stepper motors, and relays Electronic Fuel Injection and Ignition Systems: Introduction, feedback carburetor systems. Throttle body injection and multiport or point fuel injection, fuel injection systems, Injection system controls. Advantages of electronic ignition systems: Types of solid-state ignition systems and their principle of operation, Contactless electronic ignition system, and electronic spark timing control.

Unit – V 9 Hours Power-Train and Body Chassis: Automotive transmissions: Transmission fundamentals, Types-MT, AT, CVT and DCT. Vehicle braking fundamentals: Vehicle dynamics during braking, hydraulic brake system components, Introduction to antilock braking systems. Steering Control: Steering system basics, Fundamentals of electronically controlled power steering: type, electronically controlled hydraulic systems and Electric power Braking systems, Traction control, Steering and Tires, Electronic management of chassis system.

Text Books

1. William B. Ribbens, “Understanding Automotive Electronics”, 5th Edition, Butterworth, Heinemann Woburn, 1998 and onwards.

2. Tom Denton, “Automobile Electrical and Electronics System”, Elsevier Publications, Third Edition, 2004 and onwards.

Reference Books 1. Judge. A.W., “Modern Electrical Equipment of Automobiles”, Chapman & Hall, London, 1992

and onwards. 2. Vinal. G.W., “Storage Batteries”, John Wiley & Sons Inc., New York, 1985 and onwards.

Course Outcome (COs)

At the end of the course, the student will be able to Bloom’s Level

1. Explain all the sub-systems of an Automobile and 4 stroke IC Engine. L1 2. Explain the concepts of automotive sensors and actuators, their application and

uses. L2

3. Understand and implement lighting and other electrical system inside an automobile. L4

4. Demonstrate the functioning of sensors and actuators in automotive systems. L3 5. Define the details of automobile sub-systems like Engine System, Chassis,

Transmission, Power train, Braking Systems etc. L2

Program Outcome of this course (POs) PO No. 1. Fundamentals of Engineering: Graduates shall be able to understand and apply the


1

2. Design of Experiments: Graduates shall possess the ability to design and conduct experiments, analyse and interpret data 2

3. Self motivated Learning: Graduates shall continue to upgrade the skills and possess the motivation for continuing education and professional growth. 12

Course delivery methods Assessment methods 1. Classroom Teaching (Blackboard) 1. IA test 2. Presentation 2. Assignment 3. Video presentations 3. Quiz

Scheme of Continuous Internal Evaluation (CIE):

Components Average of best two IA tests out of three

Average of assignments (Two)

/ activity Quiz

Class

participation Total Marks

Maximum Marks: 50 25 10 5 10 50

Writing two IA tests is compulsory. Minimum marks required to qualify for SEE : 20

Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper.

Scheme of Semester End Examination (SEE): 1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the

calculation of SGPA and CGPA. 2. Minimum marks required in SEE to pass:40

3. Question paper contains 08 questions each carrying 20 marks. Students have to answer FIVE full questions. SEE question paper will have two compulsory questions (any 2 units) and choice will be given in the remaining three units.

Automotive Control System






1. Review the background material on engine modelling. 2. Learn vehicle dynamics and human factors. 3. Understand systems such as air–fuel ratio control, idles speed, control, spark-timing control,

control of transmissions, control of hybrid electric vehicles, and fuel-cell vehicle control. 4. Comprehend the physics and underlying principles behind Vehicle Control Systems covers

cruise control and headway-control systems, traction-control systems (including antilock brakes), active suspensions, vehicle stability control, and four-wheel steering.

5. Review Intelligent Transport systems, Collision detection and avoidance systems, automated highways, platoons, and automated steering.

Pre-Requisites: 1. Control Systems (17EC43).

Unit – I 9 Hours Introduction: Motivation, Background, and Overview, Automotive Control-System Design Process, Review of Engine Modeling

Unit – II 9 Hours Vehicle Dynamics and Human Factors: Review of Vehicle Dynamics, Coordinates and Notation for Vehicle Dynamics, Longitudinal Vehicle Motion, Lateral Vehicle Motion, Vertical Vehicle Motion, Human Factors and Driver Modeling, Human Factors in Vehicle Automation, Driver Modeling

Unit – III 9 Hours Power train Control Systems: Air–Fuel Ratio Control, Control of Spark Timing, Idle-Speed Control, Transmission Control, Control of Hybrid Vehicles, Modeling and Control of Fuel Cells for Vehicles.

Unit – IV 9 Hours Vehicle Control Systems: Cruise and Headway Control, Antilock Brake and Traction-Control Systems, Vehicle Stability Control, Four-Wheel Steering, Active Suspensions.

Unit – V 9 Hours Intelligent Transportation Systems: Overview of Intelligent Transportation Systems, Preventing Collisions, Longitudinal Motion Control and Platoons, Automated Steering and Lateral Control.

Text Books 1. Ali G Ulsoy_ Huei Peng_ Melih C ̧akmakci, ”Automotive control systems”, Cambridge

University Press (2012) and onwards. 2. William B. Ribbens, “Understanding Automotive Electronics”, 6th Edition, Newnes (2003)

and onwards. Reference Books

1. Ronald K Jurgen , “Automotive Electronics Handbook”, McGraw-Hill,1995 and onwards. Other Resources

1. www.engin.umich.edu/group/ctm

http://www.engin.umich.edu/group/ctm



1. Understand the basic fundamentals of engine modelling. L2 2. Analyze the basics control-system concept and design for automotive

applications. L4

3. Model and Control of Fuel Cells of Vehicles. L6 4. Determine automotive system parameters viz air fuel ration, idle speed etc L3 5. Discuss collision detection and avoidance systems. L4

Program Outcome of this course (POs) PO No.

1. Fundamentals of Engineering: Graduates shall be able to understand and apply the basic mathematical and scientific concepts in the field of Electronics and Communication Engineering.

1


2


4


5


6

Course delivery methods Assessment methods

1. Classroom Teaching (Blackboard) 1. IA test 2. Presentation 2. Assignment 3. Video presentations 3. Quiz




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50






Automotive Software Engineering Course Code 17AE13 Credits 4





1. Understand what software engineering is and its significance. 2. Study the concepts of software processes and software process models. 3. Understand the overview of Vehicle electronic systems. 4. Study the design, implementation and testing of software components. 5. Study integration, testing and calibration of software functions.

Unit – I 9 Hours Introduction and Overview: Professional software development, Software Engineering Ethics, Software process models, Process activities, Coping with change, The rational unified process, The Driver-Vehicle-Environment system, Overview of Vehicle Electronic systems, Overview of Logical system, Processes in vehicle development, Methods and Tools for the development of software for Electronic systems.

Unit – II 9 Hours Essential System Basics: Open-Loop and Closed-Loop Control systems, Discrete systems, Embedded systems, Real-Time systems, Distributed and Networked systems, System Reliability, Safety, Monitoring, and Diagnostics.

Unit – III 9 Hours

Support Processes for Electronic Systems and Software Engineering: Basic definitions of system theory, Process models and standards, Configuration management, Project management, Subcontractor management, Requirements management, Quality assurance.

Unit – IV 9 Hours

Core Processes for Electronic Systems and Software Engineering: Requirements and Prerequisites, Basic definitions and Notations, Analysis of User requirements and Specification of logical system architecture, Analysis of logical system architecture and specification of Technical system architecture, Specification of Software components, Design and implementation of software components, Software component testing, Integration of software components, System integration test, Calibration, System and acceptance test.

Unit - V 9 Hours

Methods and Tools for Development: Offboard Interface between Electronic control units and tools, Analysis of logical system architecture and specification of technical system architecture, Specification of software functions and validation of specification, Design and implementation of software functions, Integration and Testing of software functions, Calibration of software functions.

Text Books

1. Jorg Schauffele and Thomas Zurawka, “Automotive Software Engineering Principles, Processes Methods and Tools”, SAE International Publishers.

2. Ian Sommerville, “Software Engineering”, Pearson, 9th Edition, 2011 and onwards.



1. Describe and compare the software process models. L1, L4 2. Summarize the essential system basics. L2 3. Analyze support processes for Electronic Systems and Software Engineering. L4 4. Discuss the implementation, development and testing of software components. L2 5. Elaborate the Integration, Testing and calibration of software functions. L2

Program Outcome of this course (POs) PO

No. 1. Fundamentals of Engineering: Graduates shall be able to understand and apply the


1


4


8

4. Soft skills: Graduates shall possess proficiency in oral and written communication skills. 9

Course delivery methods Assessment methods 1. Classroom Teaching (Blackboard) 1. IA test 2. Presentation 2. Assignment 3. Video presentations 3. Quiz 4. Activity




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50






Automotive Instrumentation Course Code 17AE14 Credits 4





1. Instill a fundamental understanding of various instrumentation and control detection circuits as they relate to temperature, pressure, flow, and level monitoring of various processes.

2. Introduce various data acquisition systems, and converters relevant to instrumentation and its applications

3. Learn professional measurement techniques used to engineer thermal and mechanical systems 4. Familiarize with data acquisition systems. 5. Study sampling methods in air pollution and measurement techniques.

Unit – I

9 Hours

Basic Concepts: Introduction, Fundamental methods of measurement, generalized measuring system, types of input quantities, Measurement standards, Calibration (Textbook1)

Unit – II 9 Hours

Measurements - I: Pressure Measurement: Static and Dynamic pressure in fluids, Pressure measuring transducers, Bourdan-tube gages (Textbook2) Temperature Measurement: Use of thermal expansion, Calibration and stern correction, Bimetal Temperature-sensing elements, Thermocouples, Application laws of thermocouples (Textbook2) Force and Torque Measurements: Mass balance measurements, Torque measurements, Measurement of angular velocity (Textbook1) Motion measurements: Elementary vibrometers and vibration detectors, Elementary accelerometers (Textbook2)


Measurements – II: Light intensity, Level measurements, Sound measurements: Microphone, Sound level meter, Frequency spectrum analysis, Equivalent sound level (Textbook2) Warning Systems: Oil pressure, Engine over heat, Air pressure, Speed

Unit – IV 9 Hours

Data acquisition and processing: General data acquisition system examples, storage, processing, recording and display devices.

Unit – V 9 Hours Air-pollution Sampling and Measurement: Introduction, Units, Standards, General Air-sampling train, Gas sampling techniques, Particulate sampling techniques, Combustion products measurements, Opacity measurements, Odor measurement (Textbook 1)

Text Books

1. J. P. Holman, “Experimental methods for Engineers”, Tata McGraw Hill Book Co., 7th Edition, 2007 and onwards.

2. Thomas G. Beckwith, John H. Lienhard V, Roy D. Marangoni, “Mechanical Measurements”, Pearson, 6th Edition and onwards.

Reference Books 1. Ernest O Doeblin, “Measurement Systems: Application and design”, TMH, 5th Edition, 2004

and onwards.



1. Describe the fundamental elements of instrumentation and control detection circuits. L2

2. Use various instruments for engineering applications. L3 3. Apply measurement techniques used to engineer thermal and mechanical

systems L4

4. Design and set a data acquisition system. L6 5. Examine sampling methods and measurement techniques. L4




1


2


3


6


8


1. Blackboard Teaching 1. Internal Assessment 2. Presentation 2. Quiz 3. Videos 3. Assignment




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50

Writing two IA testsis compulsory. Minimum marks required to qualify for SEE : 20

Elective I - Reliability Engineering


Course type PE – I CIE Marks 50 marks




1. Analyze data related to reliability questions and use the analytical results to predict the reliability of simple and complex systems.

2. Introduce to probability calculus for continuous and discrete random variables, statistical failure time models, estimation of model parameters, model comparison and prediction of future failures.

3. Introduce to reliability for simple and complex systems and the relationship to component reliability

4. Apply theoretical techniques with data sets from different engineering disciplines. 5. Study maintainability, availability and replacement policies.

Unit – I 9 Hours Importance and Concepts of Reliability: Definitions, Failure, Life characteristic pattern, Modes of failure, Classification of system, Measures of reliability, Derivation of the reliability function, Hazard rate, Mean time between failures, Areas of reliability (Textbook 1)

Unit – II 9 Hours Statistical Methods in Reliability: Review of probability theory and Random variables, Discrete Distributions: Variance, Covariance, Correlation coefficient, Expectation & variance of a linear combination of random variables, Moment generating function, Cumulants, Probability distributions used in reliability analysis, Continuous Distributions: Mean and variance, Uniform, Normal, Gamma, Exponential, Gamma, Beta, Erlang, Weibull and Lognormal distributions. Numerical examples (Textbook 2)

Unit –III 9 Hours Data Analysis and Reliability Estimation: Introduction, Definitions, Point estimation and interval estimation, Goodness-of-Fit tests, Moment estimation, Maximum Likelihood Estimator, Least Square Estimates (Textbook 2)

Unit –IV 9 Hours System Reliability and Modelling: Types of systems, Basic configuration: Series, Parallel, Series-Parallel, Parallel-Series, Standby, Standby redundancy, r-out-of-n configuration (Textbook 1)

Unit - V 9 HoursMaintainability, Availability and Replacement Policies: Maintainability: Objectives of maintenance, Forms of maintenance, Examples, Cost Analysis, Maintainability equation, Measures of maintainability Availability: Definitions, Availability and Maintainability trade-off, Provision of spares Replacement Policies: Replacement processes, General assumptions, Replacement due to economic design, Replacement of items whose efficiency deteriorates with time or use (Discrete and Continuous function), Replacement of items that fail, Policies, Failure tree (Textbook 1)

Text Books

1. A K Govil, “Reliability Engineering”, TMH, 1983 Edition and onwards. 2. V. N. A. Naikan, “Reliability Engineering and Life Testing”, PHI Learning Private Limited,

Eastern Economy Edition, 2009 and onwards. Reference Books

3. L. S. Srinath, “Reliability Engineering”, East-West Press, 4th Edition and onwards. 4. Dr. David J Smith, “Reliability, Maintainability and Risk”, Elsevier, 8th Edition and onwards.


At the end of the course, the student will be able to Bloom’s

Level 1. Understand and gain the ability to apply concepts and methods of reliability

analysis to failure data from different engineering disciplines. L1

2. Understand and be able to develop probability distribution models (exponential, Weibull, etc.) for failure time analysis.

L2

3. Model system reliability. L3 4. Detect root cause, correct, and document system failures. L5 5. Apply system reliability analyses. L3


1. Fundamentals of Engineering: Graduates shall be able to understand and apply the basic mathematical and scientific concepts in the field of Electronics and Communication Engineering

1

2. Engineering Cognizance: Graduates shall be able to stay abreast with recent developments in the field of Electronics and Communication Engineering

4


8

4. Self motivated Learning: Graduates shall continue to upgrade the skills and possess the motivation for continuing education and professional growth

12

Course delivery methods Assessment methods 1. Blackboard Teaching 1. Internal Assessment 2. PPT’s 2. Quiz 3. Videos 3. Assignment

4. Activity




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50


Self Study topics shall be evaluated during CIE (Assignments and IA tests) and 10% weightage shall be given in SEE question paper. Scheme of Semester End Examination (SEE): 1. It will be conducted for 100 marks of 3 hours duration. It will be reduced to 50 marks for the



Elective I – Hybrid And Propulsion Systems






1. Present an overview about hybrid electric vehicle system design architecture and its subsystems. 2. Study different motor drives and controllers used in xEV / HEVs. 3. Study thermal management of hybrid systems. 4. Understand design and performance of spark ignition and compression ignition engines. 5. Enable students to improve the operation of internal combustion engines and (hybrid-) electrical

propulsion systems through system-level analysis, and analysis of the underlying (electromechanical, fluid-dynamic and thermo-chemical processes

Unit – I 9 Hours

HEV/ xEV System Design Architecture Design & Engineering- xEV : Micro to mild to PHEV to HEV to REEV to EV - Hybrid-Electric Vehicle Power trains - Vehicle Energy Storage System (VESS) Design - Computational Systems Design (CSD) - Transportation Electrification Introduction to Advanced Electric Vehicles: Fundamentals of xEVs and key challenges and opportunities of 17AEV technologies - Engineering philosophy of various xEVs (HEV, PHEV and BEV, REEV) Hybrid Electrical Vehicles: Introduction - System Overview - Power train architecture - Parallel, Series and Combined - Types of xEVs - Vehicle layout and packaging options. - Energy devices & combinations - examples & Case Studies - Environmental Impact - Regulatory Issues (CO2 gas and particulate emissions) - Duty Cycles in Indian cities; performance (off cycle, durability) - Sustainability assessment; cradle to grave environmental impact. - Industry Activity and Market Reaction - HEV market drivers and technology trends - Customer related issues - HEV technology readiness levels - Vehicle Based HEV Performance specifications.

Unit – II 9 Hours

xEV Motor Drives And Controllers xEV components and architecture: Internal combustion engine-characteristics General architecture of xEV-Energy source, electric machines, power electronics converters, controllers, sensors, loads. Types of xEVs - series, parallel, series-parallel etc. Mild hybrid, PHEV, REEV, EV. Energy source: Batteries, parameters(capacity, SOC, charge/discharge ratesetc.);Lead-acid batteries, Li-Ion batteries, Battery management systems, Fuel cells ,Ultra capacitors. Electric machines: DC machines-Characteristics, AC machines-Induction machines, permanent magnet machines, switched reluctance machines xEV Motor: Different configuration of xEV, series, parallel,series-parallel Electric Drive Architecture: Battery bank, inverter, controller, sensors, DC-DC converter, load


Thermal Management of Hybrid Systems: Thermal Management of Motors: Motor Sizing vs Heat Generation - Operational Temperature Limitations of Electrical Insulation - Design concepts for Heat Extraction in Motors for xEV systems - Modelling and simulation of heat transfer in motors - Rendering of Heat extraction solutions - Sensors and Protection solutions.

Thermal Management for Batteries and Power Electronics: Introduction - Thermal control in vehicular battery systems: battery performance degradation at low and high temperatures - Passive, active, liquid, air thermal control system configurations for HEV and EV applications - Battery Heat Transfer - Introduction to battery modeling: tracking current demand, voltage, and State of Charge as functions of time for given drive cycles - Development of thermodynamic relationships for cell heat generation - Lumped cell and pack models for transient temperature response to drive cycles - Model parametric study results

Unit – IV 9 Hours

Design and performance of Spark-Ignition (SI) and Compression-Ignition (CI) engines (8L) SI performance and limits to performance: Mean effective pressure; efficiency; performance maps. Limits to efficiency and pressure: auto ignition, rate of combustion, heat losses. SI enhancing performance and emissions: Improving performance: scavenging efficiency, flow exchange processes and tuning, direct injection. Emission control; catalysts and cycle control. CI performance and limits to performance: Mean effective pressure; efficiency; performance maps. Limits to efficiency and pressure: auto ignition, rate of combustion, heat losses. CI enhancing performance and emissions: Fuel injection systems and spray structure multiple injection in CI engines. Principles and performance of particle trapping and oxidation systems; Selective Catalytic Reduction. Turbocharging: Turbocharger technology and intercooling; turbocharger matching.

Unit – V 9 Hours

Low-carbon propulsion: Anticipated developments in combustion engines: downsizing; low-temperature combustion / HCCI; alternative fuels; continuous/longer gearing; hybridization. Series and parallel hybrids, and power management. Electric motor drive technology (review of technology suited to automotive propulsion –induction, permanent magnet brushless, VRPM, SRM, DC) and performance metrics. Automotive battery and fuel cell systems – balance of plant requirements, performance metrics. Power-train testing and simulation: Experimental investigation of engine design: performance, combustion behavior, and emissions (engine dynamometer, fuel maps, mini-map testing; chassis-dyno; legislative drive-cycles). Emission measurements (HC, CO, NOx and particulate emissions). Optical diagnostics: Data required for in cylinder flow structure, Optical diagnostics (PIV, PTV, LIF, LII, etc.), Thermodynamics models, CFD models, averaging techniques, in-cylinder flow and combustion models, modelling flame propagation in SI engines, spray structure and modelling techniques. Calculation of heat transfer (Eichelberg approach, dimensional analysis, Annand and Woschni models. Chemical rate kinetics. Hybrid propulsion case-study: Southampton University Peace of Mind Series Hybrid Electric Vehicle.

Books

1. Iqbal Husain,”Electric and Hybrid Vehicles –Design Fundamentals”, CRC Press. 2. Mehrdad Ehsani, Yimin Gao, Sebastian E.Gsay, Ali Emadi, “Modern Electric, Hybrid Electric

and Fuel Celll vehicles-Fundamentals - Theory and Design”, CRC Press. Reference Books 1. Nag.P.K, “Engineering Thermodynamics”, 5th Edition, Tata McGraw Hill Education, New

Delhi, 2013 and onwards. 2. Jerry Sergent, Al Krum, “Thermal Management Handbook: For Electronic Assemblies

Hardcover”, Mc Graw- Hill, 1998 and onwards. 3. Chang Liang Xia,”Permanent Magnet Brushless Dc Motor Drives and Controls” Wiley 2012 and

onwards. 4. “Vehicle thermal Management Systems Conference Proceedings”, 1st Edition; 2013, Coventry

Techno centre, UK.



Level 1. Understand HEV/ xEV System Design Architecture. L1 2. Explain theory behind xEV Motor Drives And Controllers. L2 3. Interpret thermal management of Hybrid Systems. L3 4. Undertake experimental evaluation of internal combustion engines and power-train

components. L4

5. Perform computational simulations in order to predict and to optimize the performance of automotive power-train for a given drive-cycle.

L5



1


4


5


8


1. Black board 1. Assignments 2. Presentation 2. Quiz 3. Case studies




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50




calculation of SGPA and CGPA. 2. Minimum marks required in SEE to pass: 40.

Elective I - Vehicle Dynamics






1. Understand vibrating systems and its analysis, modeling and simulation and modal analysis 2. Understand various Suspension systems, selection of springs and dampers 3. Understand the stability of vehicles on curved track and slope, gyroscopic effects and cross wind

handling. 4. Know about tyres, ride characteristics and effect of camber, camber thrust 5. Learn about vehicle handling under different steering conditions and directional stability of

vehicles.

Unit - I 9 Hours Introduction: Classification of vibration, definitions, mechanical, vibrating systems, mechanical vibration and human comfort. Modelling and simulation studies. Model of an automobile, one degree of freedom, two degree of freedom systems, free, forced and damped vibrations - Random vibration - Magnification and Transmissibility .Vibration absorber. Multi degree of Freedom Systems-Closed and far coupled system, Orthogonality of modal shapes, Modal analysis.

Unit - II 9 Hours

Suspension: Requirements. Spring mass frequency. Wheel hop, wheel wobble, wheel shimmy, Choice of suspension spring rate. Calculation of effective spring rate. Vehicle suspension in fore and aft directions. Hydraulic dampers and choice of damper characteristics. Independent, compensated, rubber and air suspension systems. Roll axis and vehicle under the action of side forces.


Stability of Vehicles: Load distribution. Stability on a curved track and on a slope. Gyroscopic effects, weight transfer during acceleration and braking, overturning and sliding. Rigid vehicle – stability and equations of motion. Crosswind handling.

Unit – IV 9 Hours

Tyres: Types. Relative merits and demerits. Ride characteristics. Behaviour while cornering, slip angle, cornering force, power consumed by a tyre. Effect of camber, camber thrust.

Unit - V 9 Hours Vehicle Handling: Over steer, under steer, steady state cornering. Effect of braking, driving torques on steering. Effect of camber, transient effects in cornering. Directional stability of vehicles.

Text Books 1. Thomas D. Gillespie, “Fundamentals of vehicle dynamics”, SAE, 1992 and onwards. 2. J.G. Giles, “Steering, Suspension and Tyres”, Illiffe Books Ltd., 1968 and onwards. 3. J. Y. Wong, “Theory of Ground Vehicles”, John Wiley and Sons Inc., New York, 2001 and

onwards.



1. Understand and analyse the various dynamic aspects of the vehicle. L2, L3 2. Analyze various suspension systems, selection of springs and dampers L4 3. Identify the stability of vehicles under various road profiles. L2 4. Evaluate ride characteristics. L5 5. Examine steering conditions and directional stability of vehicles under different

conditions. L4



1


5


1. Blackboard and chalk 1. Internal Assessment Test 2. PPT 2. Assignment 3. Video 3. Quiz




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50






Elective I - Mechatronics and Robotics Automation






1. Broaden the understanding of Mechatronics systems 2. Emphasize the use of modelling in electromechanical systems. 3. Introduce to different electromechanical sensors and actuators. 4. Understand role of control systems in Mechatronics. 5. Broaden the importance logic systems and data acquisition in Mechatronics systems.

Unit - I 9 Hours

Overview of Mechatronics: What is Mechatronics? Mechatronic Design Approach. System Interfacing, Instrumentation and Control Systems. Microprocessor Based Controllers and Microelectronics. An Introduction to Micro

Unit - II 9 Hours

Physical System Modelling : Modelling Electromechanical Systems, Structures and Materials, Modeling of Mechanical Systems for Mechatronics Applications ,Fluid Power System, Electrical Engineering, Engineering Thermodynamics, Modelling and Simulation for MEMS, Rotational and Translational Micro electromechanical Systems: MEMS Synthesis, Micro fabrication, Analysis, and Optimization, The Physical Basis of Analogies in Physical System Models.

Unit - III 9 Hours

Sensors and Actuators: Introduction to Sensors and Actuators, Fundamentals of Time and Frequency, Sensor and Actuator Characteristics, Sensors, Linear and Rotational Sensors, Acceleration Sensors, Force Measurement, Torque and Power Measurement, Flow Measurement ,Temperature Measurements, Distance Measuring and Proximity Sensors, Light Detection, Image, and Vision Systems, Integrated, Micro-sensors, Actuators, Electromechanical Actuators, Electrical Machines, Piezoelectric Actuators, Hydraulic and Pneumatic Actuation Systems, MEMS: Micro transducers Analysis, Design and Fabrication.

Unit – IV 9 Hours

Systems and Controls: The Role of Controls in Mechatronics, The Role of Modelling in Mechatronics Design, Signals and Systems, Continuous-and Discrete-time Signals, Transforms and Digital Systems, Continuous-and Discrete- time State-space Models, Transfer Functions and Laplace Transforms, State Space Analysis and System Properties, Response of Dynamic Systems, Root Locus Method, Frequency Response Methods, Kalman Filters as Dynamic System State Observers, Digital Signal Processing for Mechatronic Applications, Control System Design Via H2 Optimization, Adaptive and Nonlinear Control Design, Neural Networks and Fuzzy Systems, Advanced Control of an Electro hydraulic Axis, Design Optimization of Mechatronic Systems.

Unit - V 9 Hours

Computers and Logic Systems: Introduction to Computers and Logic Systems, Logic Concepts and Design, System Interfaces, Communication and Computer Networks, Fault Analysis in Mechatronic Systems, Logic System Design, Synchronous and Asynchronous Sequential Systems, Architecture, Control with Embedded Computers and Programmable Logic Controllers.

Software and Data Acquisition: Introduction to Data Acquisition, Measurement Techniques: Sensors and Transducers, A/D and D/A Conversion, Signal Conditioning, Computer-Based Instrumentation Systems, Software Design and Development, Data Recording and Logging.

Text Books 1. John G. Webster. Editor-in-chief. “Measurement, Instrumentation, and Sensors Handbook”,

CRC Press. 1999 and onwards. 0-8493-2145-X.PDF files online available atwww.engnetbase.com.



1. Understand the fundamentals of Mechatronics systems L2 2. Implement modelling techniques in electromechanical systems L3 3. Analyze various Mechatronics systems like sensors, actuators. L3 4. Design the components of Mechatronics systems. L6 5. Write the programme for robots, automation. L4



1


4


5


1. Black board teaching 1. Assignments 2. PPT 2. CIE 3. Video 3. Quiz




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50




calculation of SGPA and CGPA.

http://www.engnetbase.com.

2. Minimum marks required in SEE to pass:40


Lab 1 - Automotive Instrumentation Lab


Course type L1 CIE Marks 50 marks




1. Measure various measurement parameters related automobiles 2. Measure various product features. 3. Calibrate measuring instruments. 4. Use modern software tools to analyze and interpret the data received from vehicle inspection.

List of experiments 1. Lab experiments involving: Measurements of position, displacement, velocity, force,

temperature, proximity/range. 2. Measurements of various product features using mechanical, pneumatic, optical and electronic

instruments, interferometer, surface roughness measurements, measurements of threads and gears.

3. Calibration of various measuring instruments 4. Laboratory experiments and exercises involving hardware and software modular based off-line

and on-line product gauging and inspection, information recording and processing etc.

Text Books 1. J. P. Holman, “Experimental methods for Engineers”, Tata McGraw Hill Book Co., 7th Edition,

2007 and onwards. 2. Thomas G. Beckwith, John H. Lienhard V, Roy D. Marangoni, “Mechanical Measurements”,

Pearson, 6th Edition and onwards. Reference Books

1. Ernest O Doeblin, “Measurement Systems: Application and design”, TMH, 5th Edition, 2004 and onwards.



1. Design sensors as applicable to automotive vehicles L6 2. Measure and calibrate numerous automotive instruments L5 3. Integrate hardware and software as applicable to automotive vehicles L4

Program Outcome of this course (POs) PO No. 1. Fundamentals of Engineering: Graduates shall be able to understand and apply

the basic mathematical and scientific concepts in the field of Electronics and Communication Engineering.

1


8

3. Soft skills: Graduates shall possess proficiency in oral and written communication skills.

9

4. Research and Innovation: Graduates shall have the ability to pursue research and 11

provide innovative solutions.


Components Conduct of the lab Journal submission Lab test Total Marks

Maximum Marks: 25 10 10 5 25

Minimum marks required to qualify for SEE : 13



Initial write up 2*10 = 20 marks

50 marks Conduct of experiments 2*10 = 20 marks Viva- voce 10 marks

Submission and certification of lab journal is compulsory to qualify for SEE. Minimum marks required in SEE to pass: 20/50 (10/25) Viva-voce shall be conducted for individual student and not in a group.

Assessment methods 1. Internal Test 2. Journal Writing 3. Post lab assessment

Telematics And Infotainment System Course Code 17AE21 Credits 4





1. Introduce automotive telematics and security systems. 2. Understand vehicle support systems. 3. Introduce various advanced driver assistance systems. 4. Recognize the fundamentals of infotainment systems. 5. Learn various automotive communication systems.

Unit – I 9 Hours Telematics and security systems: Telematics-Global positioning systems, geographical information systems, navigation systems, automotive vision system, road recognition, driver assistance systems. Security Systems- Vehicle Immobilzers, Anti theft technologies, smart card system, number plate coding.

Unit – II 9 Hours Comfort Systems: Introduction, driver support systems – driver information, driver perception, driver convenience, driver monitoring. Vehicle support systems – general vehicle control, collision avoidance, vehicle status monitoring -HMI Systems-collapsible and tilt table steering column, power windows, X-by wire technologies-Steer by wire system, Brake by wire system and Drive by wire system.

Unit – III 9 Hours Advanced driver assistance and safety system: Active Safety Systems -and Passive Safety Systems, Advanced Driver Assistance Systems (ADAS)-Combining computer vision techniques as pattern recognition, feature extraction, learning, tracking, 3D vision to assist the driving activity. Examples of assistance applications- Lane Departure Warning, Collision Warning, Automatic Cruise Control, Pedestrian Protection, Headlights Control, Connected Cars technology and trends towards Autonomous vehicles.

Unit – IV 9 Hours Infotainment systems fundamentals: Introduction to In Vehicle Infotainment (IVI) systems - Use of operating systems in IVI, GENIVI Alliance-Tuner- AM/FM, XM/Sirrus, DAB/DMB, Software Defined Radio, Ensemble, Traffic Announcements, Spread Spectrum-Multimedia: Types of Media. Navigation- Points of Interests, Routes, Waypoints, Dead Reckoning position, Traffic Info, GLONASS, GNSS, RTK, GPS, and SBAS/GBAS,INS, System Architecture – Design Patterns - Proxies, Adaptors, Interfaces, Singleton, Factory method.

Unit – V 9 Hours Automotive communication systems: Introduction to Bluetooth – Pairing, HFP, A2DP, PAN, PBAP, DUN. Concepts of MOST network, DLNA, AVB. Concepts of TCP/IP, Ethernet, WiFi, WiFi Direct, MyWiFi and CAN, Mirror link, Tethering.

Text Books

1. Ronald K Jurgen, “Navigation and Intelligent Transportation Systems – Progress in Technology”, Automotive Electronics Series, SAE, USA, 1998 and onwards.

2. William B Ribbens, “Understanding Automotive Electronics”, 7th edition, Butter worth Heinemann Woburn -2012 and onwards.

Reference Books

1. Dennis Foy, “Automotive Telematics”, Red Hat, 2002 and onwards. 2. Yilin Zhao, “Vehicle Location and Navigation Systems”, Artech House, 1997 and onwards. 3. Jay Farrell and Matthew Barth, “The Global Positioning System and Inertial Navigation”,

McGraw-Hill, 1999 and onwards.



Level 1. Understand basics of automotive telematics and security systems. L2 2. Explain various vehicle support systems. L2 3. Analyze the working of various advanced driver assistance systems. L4 4. Discuss the fundamentals of infotainment systems. L2 5. Apply communication techniques for automotive communication systems L3



1

2. Engineering Cognizance: Graduates shall be able to stay abreast with recent developments in the field of Automotive Electronics.

4






/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50



Intelligent Vehicle Technologies






1. Learn the various driver support systems and sensor technologies. 2. Understand the principle of operation of VANETs and need for telematics. 3. Understand the need of safety and security systems in vehicles. 4. Understand the working of vision sensor system and the need to build intelligent systems. 5. Understand the need of autonomous vehicles and their operation.

Unit – I 9 Hours Driver Assistance Systems: Introduction, driver support systems – driver information, driver perception, driver convenience, driver monitoring. Vehicle support systems – general vehicle control, collision avoidance, vehicle status monitoring. Intelligent vehicle sensor technologies: The CAN bus – Introduction, Functional concepts, Hierarchical organization, Implementations, CAN applications, , The future of CAN.

Unit – II 9 Hours Vehicle information system and intelligent transportation: Intelligent transportation system (ITS) - Vision for ITS communications-Multimedia communication in a car-Current ITS communication systems and services. Vehicle–vehicle and road–vehicle communication systems-Inter and Intra Vehicular Communication-VANETS-Device technologies-Optical Technologies and millimeter wave technologies.

Unit – III 9 Hours Radio communication technologies for vehicle information systems Introduction, ITS communication systems, Vehicle–vehicle and road-vehicle communication Systems, Device technologies

Unit – IV 9 Hours Towards intelligent automotive vision systems: Introduction and motivation, Applications of vision in driver assistance systems, Operating principles - Components of a vision sensor system, Sensor raw data analysis, Applications and results - Autonomous driving, Heavy truck coupling Principles and applications of computer vision for driver assistant systems: Introduction, Driver assistance on highways - Lane recognition, Traffic sign recognition (TSR), Driver assistance in urban traffic - Stereo vision, Shape-based analysis, Road recognition, Object recognition as a classification problem - Traffic lights and signs, Pedestrian recognition, UTA II on the road Self learning topics: Building intelligent systems - ANTS: a multi-agent system,

Unit – V 9 Hours Autonomous vehicles case studies: DARPA Challenge-ARGO prototype vehicle-The GOLD System-The inverse perspective mapping , Lane detection, Obstacle detection, Vehicle detection, Pedestrian

detection, software systems architecture, Computational performance. ARGO prototype vehicle Hardware-Functionalities, data acquisition system, processing system, output system, control system, Other vehicle equipments and emergency features, The MilleMiglia in Automatico test.

Text Books 1. Ljubo Vlacic, Michel Parent and Fumio Harashima, “Intelligent Vehicle Technologies”,

Butterworth-Heinemann publications, Oxford, 2001 and onwards. 2. Nicu Bizon,Lucian D Ascalescu And Naser Mahdavit Abatabaei “Autonomous Vehicles

Intelligent Transport Systems And Smart Technologies”, Nova Publishers-2014 and onwards. Reference Books

1. Ronald K Jurgen , “Automotive Electronics Handbook”, McGraw-Hill,1995 and onwards. 2. William B Ribbens, “Understanding Automotive Electronics”, 7th edition, Butter worth

Heinemann Woburn, 2012 and onwards.



Level 1. Identify and explain the various intelligent sensor technologies and different

driver assistant systems. L1, L2

2. Analyze the vehicular ad hoc network technologies and to combine them with telematics. L4

3. Illustrate the deployment of safety and security systems. L4 4. Analyze sensors needed for vehicular communications and the deployment of

intelligent vehicles. L5

5. Design the model of autonomous vehicles needed in road applications. L6

Program Outcome of this course (POs) PO No. 1. Fundamentals of Engineering: Graduates shall be able to understand and apply the


1


2


4


5

5. Entrepreneurship: Graduates shall imbibe project management and finance skills to pursue entrepreneurial endeavours.

10

6. Research and Innovation: Graduates shall have the ability to pursue research and provide innovative solutions.

11

7. Self-motivated Learning: Graduates shall continue to upgrade the skills and possess the motivation for continuing education and professional growth.

12






/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50






Automotive Networking Course Code 17AE23 Credits 4





1. Analyze, simulate and implement automotive communication protocols. 2. Impart in depth knowledge on data communication and networking, automotive communication

and diagnostic protocols and their working. 3. Understand CAN and LIN layered protocols. 4. Understand FlexRay and MOST Protocols. 5. Learn concepts of simulation and analysis of In-Vehicle Networks (IVN).

Unit – I 9 Hours Basics of Data Communication Networks and Automotive Communication Protocols: Need for networks, Types of networks, Need for standards, TCP/IP model, Topologies, Error detection and correction mechanisms, Encoding schemes, Serial/parallel transmission, Bits, Baud and bandwidth, Synchronous and asynchronous, Need and benefits of IVN, Classes of IVN protocols, Multiplexed electrical systems, Vehicle multiplexing, Bitwise contention, Network elasticity, Error processing and management and Case Study.

Unit – II 9 Hours Controller Area Network (CAN) Protocol: History and foundation of CAN, CAN Applications, Main characteristics of CAN, CAN in OSI Reference Model, CAN Data Link Layer, Principles of data exchange in CAN, Arbitration, Data Frame, Remote Frame, Error detection and management in CAN, CAN physical Layer, Bit encoding, Bit timing and synchronization, Relationship between data rate and bus length, Single wire and twin wire media, CAN repeaters, Medium-to-medium gateway, Protocol handlers, Micro-controllers and line drivers, Time-Triggered CAN (TTCAN), Comparison with other IVN protocols, CANoe based applications development


CAN Higher Layer Protocols and LIN: CAN Higher Layer Protocols: CAN in Automation (CiA), CANopen, CANopen device model, CANopen features, DeviceNet, DeviceNet Model, Device Object Model, DeviceNet Features, S17AEJ1939, S17AE J1939 Reference Model, CANKingdom and Case Study Local Interconnect Network (LIN) Protocol: Introduction to LIN, LIN consortium, LIN specification, LIN features, Technical overview, Work flow concept, LIN operation, LIN frame format, Scheduling table, Network management of LIN cluster, LIN Transport Layer, LIN node configuration and identification, LIN diagnostics, LIN physical layer, Comparison with other IVN protocols and Case Study

9 Hours

Unit – IV FlexRay and MOST Protocol: FlexRay Protocol: Future on board systems, Need for FlexRay, Origin of FlexRay, FlexRay consortium, FlexRay Objectives, FlexRay Features, Application requirements, Working of FlexRay, Network topologies, ECU architecture, Segment Configuration, Communication Cycles, FlexRay frame format, Timing of configuration protocol, Error control, and FlexRay core mechanisms, Coding and Decoding, Medium Access Control, Frame and Symbol Processing, Clock Synchronization, FlexRay Components, Comparison with other IVN protocols and Case Study Media Oriented System Transport (MOST) Protocol: Emerging in car systems, Introduction to MOST, MOST goals, Features, Cables and Connectors, Data Types, Topology, Frame Format, Application Areas, System Description, Specification, Device Model, Device Implementation, Diagnostics and Case Study

Unit - V 9 Hours In Vehicle Network Diagnostics: Process of Automotive Fault Diagnostics, Fault Codes, Vehicle Systems (open-loop and closed-loop) On- and Off- Board Diagnostics, OBD-I, OBD-II, Engine Analyzers, Steps taken to diagnose a fault, Diagnostics Protocol-KWP2000, S17AE-J1587, S17AE-J1708 and Case Study

Text Books

1. Gilbert Held, “Inter- and Intra-Vehicle Communications”, CRC Press 2007 and onwards. 2. Behrouz Forouzan, “Data Communications and Networking”, McGraw-Hill 2003 and onwards. 3. Ronald k. Jurgen, “Automotive Electronics Handbook”, McGraw-Hill 1999 and onwards.



Level 1. Establish the need of Networking in an Automobile. L2 2. Explain and analyze the principles and functionalities of various Automotive

Communication Protocols (ACPs). L2

3. Design, simulate, emulate and analyze CAN and LIN based automotive embedded networks. L6

4. Relate FlexRay and MOST Protocols to IVN. L4 5. Proficiently use CANoe tool to develop IVN applications as well as to simulate,

analyze and Troubleshoot ACP based IVNs. L5




1


4


8

4. Self motivated Learning: Graduates shall continue to upgrade the skills and possess the motivation for continuing education and professional growth.

12





/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50






Design of Digital Control Systems






1. Understand and obtain the relationship between Analog Control Systems and Digital Control Systems

2. Analyze systems via transfer function and state space 3. Understand system stability using time domain and frequency domain approach 4. Understand, pole placement design and design of compensators 5. Understand and design compensator which meets specification Pre-requisites : 1. Control Systems (17EC43).

Unit – I

9 Hours Basic Digital Control Systems, Examples of digital control systems, Revision of Laplace transforms, Sampling, Sample and zero order hold, first order hold, Mathematical modeling of sampler, Z- transforms, Relation between F(s), F*(s) and F(z), Theorems and properties, Z-transforms for linear difference equations and discrete time systems.

Unit – II 9 Hours

Transfer function, block diagram and signal flow graphs, Pulse transfer function, State variables, State variable model, State variable approach for sampled data systems and purely digital systems, Similarity transformations, State transition matrix, Controllability, Observability properties and tests.


Stability, Lyapunov’s method, Stabilizability, Routh-Hurwitz and Jury's stability test. Time domain analysis, steady state error analysis, constant damping and constant loci, feedback analysis using root-locus method in z-domain, Effects of adding poles and zeros, Frequency domain analysis - Bode plot

Unit – IV 9 Hours

Pole assignment design, Design of state estimators and observers, combined controller-observer system. Bilinear transform and other S-to-Z domain approximation techniques

Unit – V 9 Hours Digital controllers and compensators, Phase-lag compensator, Phase-lead compensator, lag-lead compensator, PI, PD and PID controllers

Text Books

1. B. C. KUO, “Digital Control Systems”, Second Edition, Oxford University Press, 1992 and onwards.

2. K. Ogata, “Discrete time control systems”, Prentice Hall..

Reference Books 1. M. Gopal, "Digital Control and State Variable Methods", McGraw Hill India.27 2. R. Dorf& R. Bishop, “Modern Control Systems”, Prentice Hall.



1. Differentiate and establish relationship between analog control systems and digital control systems

L4

2. Analyze systems via transfer function and state space L4 3. Define system stability using time domain and frequency domain approach L3 4. Design system for required pole location and design a compensator L6 5. Design compensator to meet the required specification L6




1


2


8


1. Board with chalk 1. Internal Assessments 2. Presentation 2. Quiz 3. Simulation tools 3. Seminar 4. Activity 4. Project




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50



Elective II - System Simulation Technology Course Code 17AE251 Credits 4

Course type PE – II CIE Marks 50 marks




1. Impart knowledge about simulation modeling of systems 2. Demonstrate validity and credibility of simulation models. 3. Explore various probability distributions related to modeling of systems 4. Develop random number generator system 5. Analyze statistical data from simulations.

Unit – I 9 Hours Basic simulation modeling: Nature of simulation, system models, discrete event simulation, single server simulation, alternative approaches, other types of simulation.

Unit – II 9 Hours Building valid, credible and detailed simulation models. Techniques for increasing model validity and credibility, comparing real world observations.

Unit –III 9 Hours Selecting input probability distributions. Useful probability distributions, assessing sample independence, activity I, II and III. Models of arrival process.

Unit –IV 9 Hours Random numbers generators: linear congruential, other kinds, testing random number generators. Random variate generation: approaches, continuous random variates, discrete random variates, correlated random variates.

Unit - V 9 HoursOutput data analysis: Statistical analysis for terminating simulations, analysis for steady state parameters. Comparing alternative system configurations. Confidence intervals. Variance reduction techniques. Antithetic and Control variates.

Text Books

1. Averill Law, “Simulation modeling and analysis”, MGH, 4th edition, 2007 and onwards. 2. Jerry Banks, “Discrete event system simulation”, Pearson, 2009 and onwards. 3. Seila, Ceric, Tadika MEEla, “Applied simulation modeling”, Cengage, 2009 and onwards. 4. George S. Fishman, “Discrete event simulation”, Springer, 2001 and onwards.

Reference Books 1. N. Viswanadham, Y. Narahari, “Performance modeling of automated manufacturing systems”,

PHI, 2000 and onwards. 2. Frank.L. Severance, “System modeling and simulation”, Wiley, 2009 and onwards. 3. K. S. Trivedi, “Probability and stastistics with reliability queuing and computer science

applications”, PHI, 2007 and onwards.



Level 1. Explain simulation modeling of systems L2 2. Analyze validity and credibility of simulation models. L4 3. Examine various probability distributions related to modeling of systems. L3 4. Design random number generator system L6 5. Interpret statistical data from simulations. L3



1

2. Engineering Cognizance: Graduates shall be able to stay abreast with recent developments in the field of Electronics and Communication Engineering

4


8

Course delivery methods Assessment methods 1. Blackboard Teaching 1. Internal Assessment 2. PPT’s 2. Quiz 3. Videos 3. Assignment

4. Activity




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50






Elective II – Safety and Security of Mechatronic Systems






1. Impart basic understanding of various types of automobiles. 2. Understand electrical system & air conditioning systems of mechatronics systems. 3. Explore different components of mechatronic systems. 4. Learn power-train system in automobile. 5. Acknowledge modern gadgets used to secure mechatronic systems.

Unit – I 9 Hours

Types of automobiles. Limiting Dimensions as per Central Motor Vehicles Rules. Engines – Classification, Construction, Materials of engine components. Prototype Testing as per Central Motor Vehicles Rules Fuel System – Fuel tank, Fuel filter, Types of Fuel system. Carburetor – Simple and Modern, Fuel injection System. Emission Standards as per CMV Rules.

Unit – II 9 Hours

Electrical System – Storage Battery Operations and Maintenance. Ignition System – Coil and Magneto Ignition System. Starting System, Lighting System, Horn System – Wind ShiE17AE.


Wiper Motors, Fans, Heaters, Traficators. Automobile air conditioning. Central Motor Vehicles Rules regarding Lighting, WindshiE17AEs, Wipers. Transmission System – Clutches – operation and fault finding of clutches, Fluid Flywheel, Gear Box-types, Steering Systems, Chassis Springs, Suspension

Unit – IV 9 Hours

Differential, Dead and Live axles, Rims, Tyre etc. Brakes – Types, construction and fault finding. CMV Rules – Brakes, Steering & Tyre. Lubrication Systems – Types, Components, Lubricating oil, Cooling system – Details of components, Study of Systems, Types

Unit – V 9 Hours

Special gadgets and accessories for fire fighting vehicles. Automobile accidents. CMV Rules regarding Safety devices for drivers, passengers.

Text Books

1. William H. Crouse, "Automobile Chassis and Body Construction, Operation and Maintenance". 2. P. L. Kohli, "Automotive Electrical Equipments". Reference Books 1. GBS Narang, "Automobile Engineering". 2. Joseph Heitner, "Automotive Mechanics-Principles & Practices".



Level 1. Explain various types of automobiles. L2 2. Analyze electrical system & air conditioning systems of mechatronics systems. L4 3. Differentiate components of mechatronic systems. L4 4. Describe power-train system in automobile. L2 5. Explore modern gadgets involved in safety and security of mechatronics systems. L3



1

Social Engineering: Graduates shall possess the ability to identify societal problems and meaningfully contribute with optimal solutions.

3


4


6


8






/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50





Elective II - CAD Application for Automotive Engineering






1. Introduce a 3D modeling software. 2. Model connecting rods and its peripherals using 3D modeling. 3. Model fly wheel and crankshaft using 3D modeling. 4. Model camshaft and accessories. 5. Understand the finite element modeling of mechanical components. Application software: CATIA, Pro/Engineer or similar 3D modeling software

Unit - I 9 Hours 3D modeling: introduction, approach, advantages, Learning different tools of modeling software with exercise, Design, modeling and drawing of some automotive engine/mechanical components like Inlet & exhaust valve, Piston, gudgeon pin, piston rings

Unit - II 9 Hours

Design, modeling and drawing of complete connecting rod including small end and big end, shank, end caps bolts, Wire frame and Surface modeling: Modeling of complicated shaped solid using surface modeling with exercise. Surface modeling of exterior parts like bonnet, trunk lid etc.


Design, modeling and drawing of Fly wheel, Ring gear. Design, modeling and drawing of Crankshaft, balancing weight calculation, front end and rear end details.

Unit – IV 9 Hours

Design and drawing of Cam and Camshaft, Cam profile generation. Assembly modeling of automotive mechanicals like: Connecting Rod, Piston and its accessories.

Unit - V 9 Hours Flywheel, Ring Gear and studs. Overview of Finite Element Modeling and Analysis with exercise.

Text Books 1. R.S.Khurmi, “A Text Book of Machine Design”, Eurasia, 2005 and onwards. 2. Sham Tickoo, Catia for Engineers & Designers, “Dreamtech”, 2005 and onwards. 3. P.N.Rao, “CAD/CAM principle and application”, Tata McGraw Hill, 2004 and onwards.



Level 1. Understand 3D modeling software. L2 2. Design, model and draw connecting rod, Fly wheel and Ring gears L6 3. Design, model and draw fly wheel and crankshaft L6 4. Design and draw Cam and Camshaft. L6 5. Analyze finite element modeling of mechanical components. L4


the basic mathematical and scientific concepts in the field of Electronics and Communication Engineering

1


2


5


4. Blackboard and chalk 1. Internal Assessment Test 5. PPT 2. Assignment 6. Video 3. Quiz




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50






Elective II - Soft Computing Course Code 17AE254 Credits 4





1. Introduce the ideas of fuzzy sets, fuzzy logic and use of heuristics based on human experience. 2. Familiarize with neural networks that can learn from available examples and generalize to form

appropriate rules for inference systems. 3. Provide the mathematical background for carrying out the optimization associated with neural

network learning. 4. Introduce the applications of neural network to pattern recognition. 5. Familiarize with genetic algorithms and other random search procedures useful while seeking

global optimum in self-learning situations.

Unit - I 9 Hours Introduction to Soft Computing: What is Soft Computing? Fuzzy Systems, Artificial Neural Networks, Evolutionary Search Strategies. Fuzzy Set Theory: Crisp Sets- A Review, Fuzzy Sets, Fuzzy Membership Functions, Operations on Fuzzy Sets, Fuzzy Relations, Fuzzy Extension Principle Fuzzy Logic: Crisp Logic- A Review, Fuzzy Logic Basics, Fuzzy Truth in Terms of Fuzzy Sets, Fuzzy Rules, Fuzzy Reasoning.

Unit - II 9 Hours

Fuzzy Inference Systems: Introduction, Fuzzification of the Input Variables, Application of Fuzzy, Operators on the Antecedent Parts of the Rules, Evaluation of the Fuzzy Rules, Aggregation of Output Fuzzy Sets Across the Rules, Defuzzification of the Resultant Aggregate Fuzzy Set, Fuzzy Controllers.

Unit - III 9 Hours

Artificial Neural Networks: Basic Concepts- Introduction, Computation in Terms of Patterns, The McCulloch–Pitts Neural Model, The Perceptron, Neural Network Architectures, Activation Functions, Learning by Neural Nets.

Unit – IV 9 Hours

Pattern Classifiers: Hebb Nets, Perceptrons, ADALINE, MADALINE. Pattern Associators: Hopfield Networks, Bidirectional Associative Memory. Competitive Neural Nets: Kohonen’s Self-organizing Map (SOM), Learning Vector Quantization (LVQ), Adaptive Resonance Theory (ART). Back propagation: Multi-layer Feed forward Net, The Generalized Delta Rule, The Back propagation Algorithm.

Unit - V 9 Hours

Elementary Search Techniques: State Spaces, State Space Search, Exhaustive Search, Heuristic Search, Production Systems. Advanced Search Strategies: Natural Evolution- A Brief Review, Genetic Algorithms (GAs),

Multi-objective Genetic Algorithms, Simulated Annealing.

Text Books 1. Samir Roy and Udit Chakraborty, "Introduction to Soft Computing- Neuro-Fuzzy and Genetic

Algorithms", Pearson, 2013 and onwards. Reference Books

1. J.S.R.Jang, C.T.Sun and E.Mizutani, “Neuro-Fuzzy and Soft Computing”, PHI, 2004, Pearson Education 2004 and onwards.

2. Timothy J.Ross, “Fuzzy Logic with Engineering Applications”, McGraw-Hill, 1997 and onwards.

3. Davis E.Goldberg, “Genetic Algorithms: Search, Optimization and Machine Learning”, Addison Wesley, N.Y., 1989 and onwards.

4. S. Rajasekaran and G.A.V.Pai, “Neural Networks, Fuzzy Logic and Genetic Algorithms”, PHI, 2003 and onwards.

5. R.Eberhart, P.Simpson, and R.Dobbins, “Computational Intelligence - PC Tools”, AP Professional, Boston, 1996 and onwards.



1. Identify and describe soft computing techniques and their roles in building intelligent machines.

L2

2. Recognize the feasibility of applying a soft computing methodology for a particular problem.

L2

3. Apply fuzzy logic and reasoning to handle uncertainty and solve engineering problems.

L4

4. Apply neural networks to pattern classification and other engineering problems. L4 5. Effectively use existing software tools to solve real problems using a soft

computing approach. L4

6. Evaluate and compare solutions by various soft computing approaches for a given problem.

L5



1


3


5


11


4. Black board teaching 1. Assignments 5. PPT 2. CIE 6. Video 3. Quiz




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50






Lab 2 - Model Based Design Lab


Course type L2 CIE Marks 50 marks




1. Build mathematical models for hybrid electric vehicles. 2. Connect component models together to build a complex system. 3. Setup and run Model-in-the-Loop Simulations (MIL) and Hardware-in-the-Loop Simulations

(HIL).

List of experiments 1. Modeling a series hybrid-electric vehicle

- Introduction to Simulink and SimDriveline - Models for the Driver, Battery, and Electric Motors. Creating and Running Drive Cycles - Models for Engines.

2. Real-Time Simulations - Stand-Alone Simulations - Verify logical operation - Introduction to CAN - Message IDs - Scaling and Offset - Big Endian and Little Endian - CAN Message Database - Cabling, isolation, and termination

3. HIL Simulations (Real-Time) - Separate the Plant from the Controller. - Controller on real-time target. - Plant on real-time target. - V&V Using HIL RT Model - Setup a standard set of tests for the series controller. - Run standard set of tests, record and report results, indicate faults. - Verify communications interfaces and A/D inputs and outputs.

Text Books 1. Peter Wilson and H.Alan Mantooth, “Model based Engineering for complex Electronics

system” 2013,Newness and onwards. 2. AgamKumar Tyagi “Matlab and simulink for Engineers” Oxford Higher education, 2012 and

onwards. 3. Webcourse by Zachariah chambers and Marc Herniter Rose, Hulman institute of technology on

“Introduction to model based design and Advanced model based design.”



Level 1. Develop mathematical models for components in a system. L6 2. Organize models together to build a complex system. L4 3. Demonstrate MIL and HIL simulation results. L3


the basic mathematical and scientific concepts in the field of Electronics and Communication Engineering.

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3. Soft skills: Graduates shall possess proficiency in oral and written communication skills.

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Components Conduct of the lab Journal submission Lab test Total Marks

Maximum Marks: 25 10 10 5 25

Minimum marks required to qualify for SEE : 13



Initial write up 2*10 = 20 marks

50 marks Conduct of experiments 2*10 = 20 marks Viva- voce 10 marks

Submission and certification of lab journal is compulsory to qualify for SEE. Minimum marks required in SEE to pass: 20/50 (10/25) Viva-voce shall be conducted for individual student and not in a group.

Assessment methods 1. Internal Test 2. Journal Writing 3. Post lab assessment

Advanced Embedded Systems Course Code 17AE41 Credits 4





1. Provide a clear understanding on the basic concept, and building blocks of an Embedded System.

2. Address the issues in the hardware software co-design. 3. Emphasize on the study and understanding of real time operating system concepts with case

studies. 4. Comprehensive discussion on the architecture and programming of the ARM. 5. Understand the embedded design life cycle.

Prerequisites: Microprocessors and Microcontrollers.

Unit – I 9 Hours Introduction to Embedded Systems Definition of Embedded System, Embedded Systems Vs General Computing Systems, History of Embedded Systems, Classification, Major Application Areas, Purpose of Embedded Systems, Characteristics and Quality Attributes of Embedded Systems: Hardware Software Co-Design and Program Modeling: Fundamental Issues in Hardware Software Co-Design, Computational Models in Embedded Design, Introduction to software Modelling - Unified Modeling Language (Case study), Hardware Software Trade-offs.

Unit – II 9 Hours Real-Time Operating System (RTOS) based Embedded System Design Operating System Basics, Types of OS, Tasks, Process and Threads, Multiprocessing and Multitasking, Task Scheduling, Threads, Processes and Scheduling: Putting them altogether, Task Communication, Task Synchronization, Device Drivers, How to Choose an RTOS and Commercial RTOS. Self Learning: RT Kernel/µCOS

Unit – III 9 Hours ARM -32 bit Microcontroller Architecture of ARM Cortex M3 – General Purpose Registers, Stack Pointer, Link Register, Program Counter, Special Register,. Nested Vector Interrupt Controller. Interrupt behavior of ARM Cortex M3. Exceptions Programming. Advanced Programming Features. Memory Protection. Debug Architecture. Architecture of ARM CortexM3- LPC1768 of NXP.

9 Hours

Unit – IV Introduction to Multi-core processor and Programming Scalable design principles, Principles of processor design, Instruction Level Parallelism, Thread level parallelism. Parallel computer models, Symmetric and distributed shared memory architectures, Performance Issues, Multi-core Architectures, Software and hardware multithreading, SMT and CMP architectures, Design issues, Case studies, Intel Multi-core architecture, SUN. Self Learning: CMP architecture

Unit – V 9 Hours Embedded design life cycle and testing Objective, Need, different Phases & Modelling of the Embedded Design Life Cycle. Identifying and formulating the requirements, partitioning and decomposing a system, functional and architecture design, prototyping, formulating, formalizing, and executing a plan, applying the strategy - debugging and testing List of experiments to be conducted:

Part – A 1. Create an application that creates two tasks that wait on a timer whilst the main task loops. 2. Write an application that creates a task which is scheduled when a button is pressed, which

illustrates the use of an event set between an ISR and a task 3. a) Write an application to Test message queues and memory blocks.

b) Write an application to Test byte queues 4. Write an application that creates a two task to Blinking two different LEDs at different timings. 5. Write an application that creates a two task displaying two different messages in LCD display in

two lines. Part – B

1. Write an Assembly language program to calculate 10+9+8+.........+1 2. Write a Assembly language program to link Multiple object files and link them together. 3. Write a Assembly language program to store data in RAM. 4. Write a C program to Output the "Hello World" message using UART. 5. Write a C program to Design a Stopwatch using interrupts. 6. Write an exception vector table in C 7. Write an Assembly language program for locking a Mutex. 8. Write a SVC handler in C. Use the wrapper code to extract the correct stack frame starting

location. The C handler can then use this to extract the stacked PC location and the stacked register values.

Text Books 1. Shibu K V, “Introduction to Embedded Systems”, Tata McGraw Hill Education Private

Limited, 2009 and onwards. 2. James K.Peckol, “Embedded system Design”, JohnWiley&Sons, 2010 and onwards. 3. Joseph Yiu, “The Definitive Guide to the ARM Cortex-M3”, Newnes, (Elsevier), 2008 and

onwards.

Reference Books 1. Elicia White,”Making Embedded Systems”, O’Reilly Series, SPD, 2011 and onwards. 2. Lyla B Das,” Embedded Systems-An Integrated Approach”, Pearson, 2013 and onwards. 3. Arnold S. Berger, “Embedded System Design”, CMP books, USA, 2002 and onwards. 4. Steve Heath, “Embedded System Design”, Elsevier, Second Edition, 2004 and onwards. 5. Herlihy and Shavit, Morgan-Kaufmann, "The Art of Multiprocessor Programming", Elsevier

2008 and onwards.

6. Intel Manuals on IA32, Multicore and VTUNE. 7. Shameem Akhter and Jason Roberts, “Multi-core Programming”, Intel Press, 2006 and

onwards.



Level 1. Identify the need and describe basic building blocks of an embedded system

design. L2

2. Identify and implement the concepts of Hardware-Software co-design to design an Embedded System. L3

3. Create and write applications that demonstrate the task creation, scheduling, memory blocks and interrupts in an multi - tasking environment (RTOS Concepts).

L4

4. Write real time applications using ARM Cortex M3 L4 5. Comprehend the importance of design life cycle and testing. L2



PO 1

2. Design of Experiments: Graduates shall possess the ability to design and conduct experiments, analyse and interpret data PO 2

3. EngineeringCognizance:Graduates shall be able to stay abreast with recent developments in the field of Electronics and Communication Engineering.

PO4


PO 5

5. Research and Innovation: Graduates shall have the ability to pursue research and provide innovative solutions. PO 11

6. Self motivated Learning: Graduates shall continue to upgrade the skills and possess the motivation for continuing education and professional growth. PO 12





/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50

Writing two IA test is compulsory. Minimum marks required to qualify for SEE : 20





Elective III - Automotive Safety and Regulations Course Code 17AE421 Credits 4

Course type PE – III CIE Marks 50 marks




1. Appreciate the importance of automotive safety. 2. Understand the different safety concepts and equipment. 3. Comprehend the technologies in improving safety. 4. Understand the concept in collision avoidance. 5. Provide insight into comfort and convenience system.

Unit – I 9 Hours Introduction: Design of the body for safety, energy equation, engine location, deceleration of vehicle inside passenger compartment, deceleration on impact with stationary and movable obstacle, concept of crumble zone, safety sandwich construction.

Unit – II 9 Hours

Safety Concepts: Active safety: driving safety, conditional safety, perceptibility safety, operating safety, passive safety: exterior safety, interior safety, deformation behavior of vehicle body, speed and acceleration characteristics of passenger compartment on impact.


Safety Equipments: Seat belt, regulations, automatic seat belt tightener system, collapsible steering column, tiltable steering wheel, air bags, electronic system for activating air bags, bumper design for safety.

Unit – IV 9 Hours

Collision Warning And Avoidance: Collision warning system, causes of rear end collision, frontal object detection, rear vehicle object detection system, object detection system with braking system interactions.

Unit - V 9 Hours

Comfort And Convenience System: Steering and mirror adjustment, central locking system , Garage door opening system, tyre pressure control system, rain sensor system, environment information system

Text Books

1. Bosch, “Automotive Handbook”, 8th Edition, SAE publication, 2011 and onwards. 2. Powloski. J., “Vehicle Body Engineering”, Business books limited, London, 1969 and onwards.



1. Know the basic knowledge in automotive safety. L2 2. Discuss the potential of safety problems. L3,L4 3. Apply techniques to develop and improve safety Equipments. L3, L5

4. Develop an ability to analyze collision warning system. L2 5. Recognize the importance of comfort and convenience system L2, L3




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1. Classroom Teaching (Blackboard) 1. IA test 2. Presentation 2. Assignment 3. Video presentations 3. Quiz 4. Activity




/ activity Quiz

Class


MaximumMarks: 50 25 10 5 10 50






Elective III - Automotive Chassis Design Course Code 17AE422 Credits 4





1. Understand the fundamental principles involved in design of components of automotive chassis.

2. Provide insight of the complete design of vehicle frame and suspension. 3. Understand the fundamentals of front axle, clutch, steering system 4. Calculate and design gear box. 5. Realize the design aspects of final drive.

Unit – I

9 Hours

Vehicle Frame And Suspension: Study of loads-moments and stresses on frame members. Design Of frame for passenger and commercial vehicle - Design of leaf Springs-Coil springs and torsion bar springs.

Unit – II 9 Hours

Front Axle and Steering Systems: Analysis of loads-moments and stresses at different sections of front axle. Determination of bearing loads at Kingpin bearings. Wheel spindle bearings. Choice of Bearings. Determination of optimum dimensions and proportions for steering linkages, ensuring minimum error in steering. Design of front axle beam.


Clutch: Design of single plate clutch, multiplate clutch and cone clutch. Torque capacity of clutch. Design of clutch components, Design details of roller and sprag type of clutches

Unit – IV 9 Hours

Gear Box: Gear train calculations, layout of gearboxes. Calculation of bearing loads and selection of bearings. Design of three speed and four speed gearboxes.

Unit – V 9 Hours

Drive Line And Rear Axle: Design of propeller shaft. Design details of final drive gearing. Design details of full floating, semi-floating and three quarter floating rear shafts and rear axle housings and design aspects of final drive.

Text Books

1. Giri, N.K., “Automobile Mechanics”, Khanna publishers, New Delhi, 2007 and onwards.. 2. Khurmi. R.S. & Gupta. J.K., “A textbook of Machine Design”, Eurasia Publishing

House (Pvt) Ltd, 2001 and onwards. 3. Heldt, P.M., “Automotive Chassis”, Chilton Book Co., 1992 and onwards. 4. Dean Averns, “Automobile Chassis Design”, Illife Book Co., 2001 and onwards.



1. Discuss the basic knowledge automotive chassis. L2 2. Demonstrate the ability to apply knowledge to design the functionality of front

axle, clutch, steering system. L3,L4

3. Solve numerical problems on front axle, clutch, steering system. L3, L4 4. Model, analyse and improve the operation of major vehicle sub systems such as

suspension, steering and braking. L5

5. Recognize the importance of automotive chassis components design. L2, L3



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1. Blackboard Teaching 1. Internal Assessment 2. Presentation 2. Quiz 3. Videos 3. Assignment




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50






Elective III - Electric and Hybrid Vehicles Course Code 17AE423 Credits 4

Course type PE – IV CIE Marks 50 marks




1. Understand electric vehicle technology and electric vehicles. 2. Perform design calculations of hybrid system under study. 3. Understand the various vehicle power sources in hybrid vehicle technology. 4. Describe the main hybrid and electric vehicle development considerations and performance

requirements for various vehicle systems. 5. Identify how to define key vehicle system requirements and select and size system components

that best meet those requirements.

Unit - I 9 Hours Electric Vehicle Propulsion and Energy Sources: Introduction electric vehicles, Vehicle mechanics - Kinetics and dynamics, Roadway fundamentals, Propulsion system design - force velocity characteristics, calculation of tractive power and energy required Electric vehicle power source - battery capacity, state of charge and discharge , specific energy, specific power, ragone plot, Battery modeling - Run time battery model, First Principle model, Battery management system- SOC Measurement, Battery cell balancing, Traction batteries - nickel metal hydride battery, Li-Ion, Li-polymer battery.

Unit - II 9 Hours

Electric Vehicle Powerplant and Drives: Introduction electric vehicle power plants Induction machines, permanent magnet machines, switch reluctance machines Power electronic converters-DC/DC Converters - buck boost converter, isolated DC/DC converter Two quadrant chopper and switching modes AC Drives- PWM, current control method Switch reluctance machine drives - voltage control, current control


Hybrid and Electric Drive Trains: Introduction hybrid electric vehicles, history and social importance, Impact of modern drive trains in energy supplies, Hybrid traction and electric traction, Hybrid and electric drive train topologies, Power flow control and energy efficiency analysis Configuration and control of dc motor drives and induction motor drives, Permanent magnet motor drives, switch reluctance motor drives, drive system efficiency.

Unit – IV 9 Hours

Electric and Hybrid Vehicles – Case Studies. Parallel hybrid, series hybrid -charge sustaining, charge depleting Hybrid vehicle case study –Toyota Prius, Honda insight, Chevrolet Volt 42v system for traction applications Lightly hybridized vehicles and low voltage system . Electric vehicle case study - GM EV1,Nissan Leaf, Mitsubishi MiEV Hybrid electric heavy duty vehicles, fuel cell heavy duty vehicles

Unit - V 9 Hours

Electric and Hybrid Vehicle Design: Introduction to hybrid vehicle design, Matching the electric machine and the internal combustion engine Sizing of propulsion motor, power electronics, drive system, selection of energy storage technology, communications, supporting subsystem Energy management strategies in hybrid and electric vehicles -energy management strategies- classification, comparison, implementation Design of a hybrid electric vehicle Design of a battery electric vehicle.

Text Books 1. Iqbal Husain, "Electic and Hybrid vehicles Design Fundamentals”, CRC Press, second edition

2013 and onwards. 2. James Larminie, John Lowry, "Electric vehicle techonology Explained" second Edition,

Wiley 2012 and onwards. 3. Ali Emadi, "Hand book of Automotive Power Electronics and Motor Drives”, CRC Press

2005 and onwards. 4. Ali Emadi, Mehrdad Ehsani, John M. Muller, “Vehicular Electric Power Systems”, Marcel

Dekker, Inc., 2004 and onwards.



1. Demonstrate the ability to model and write basic equations governing hybrid vehicle components and basic transmissions.

L5

2. Select supervisory control strategies and apply them towards the design of a hybrid vehicle.

L3

3. Employ modern simulation tools towards the analysis and design of hybrid vehicles.

L4

4. Specify performance objectives based on vehicle class and intended consumer. L2 5. Study energy management strategies of hybrid vehicles L1



1

2. Modern tool Usage: Graduates shall possess critical thinking abilities, problem solving skills and familiarity with the necessary computational tools and procedures

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3. Research and Innovation: Graduates shall have the ability to pursue research and provide innovative solutions

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7. Blackboard and chalk 1. Internal Assessment Test 8. PPT 2. Assignment 9. Video 3. Quiz 10. Demonstration 4. Seminar




/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50



Elective III - Advanced Automotive Fault Diagnosis Course Code 17AE424 Credits 4





1. Understand the concepts of Fault Diagnosis 2. Understand about on and off board diagnostics 3. Learn Engine system diagnostics 4. Understand chassis and brake system diagnostics 5. Understand the various advances in fault diagnosis

Unit – I 9 Hours

Introduction to Fault Diagnosis: Introduction to fault diagnosis, safe working practices and techniques, Diagnostics on paper, mechanical and electrical diagnostic techniques, Faults codes, systems and standards, On - and - off board diagnostics, Data sources, tools and equipments, Oscilloscopes, scanners/fault code readers, engine analyzers, Application methods and procedures

Unit – II 9 Hours

On and Off Board Diagnostics: Introduction to oscilloscope diagnostics, Sensors and actuators associated with oscilloscope diagnostics, On-board diagnostics various perspectives, Petrol/gasoline on-board diagnostics, On-board sensors and actuators, Sensors and actuators comparative case study.


Engine System Diagnosis: Introduction engine systems diagnostics, Engine operation and fuel system, Ignition system and emission system, Fuel injection, starting and charging system, Power flow control and energy efficiency analysis, Engine management and faultfinding information, Air supply, exhaust system, cooling and lubrication system.

Unit – IV 9 Hours

Chassis and Brake System Diagnosis: Introduction to engine system diagnostics, Anti-lock braking system diagnostics, Traction control system diagnostics, steering and tires, Transmission systems diagnostics, Diagnostics on steering and tires, Case study on diagnostics of sub assemblies.

Unit – V 9 Hours

Electrical Systems Diagnosis: Introduction to electronic components and circuits, Multiplexing and de multiplexing, Lighting system faults and auxiliary faults, In-car entertainment security and communications implementation, Body-electrical systems, instruments system faults, Heating ventilation and air conditioning, Cruise control, air bags and belt tensioners.

Text Books

1. Tom Denton, “Advanced automotive fault diagnosis, Elsevier butterworth-heinemann linacre house, jordan hill, oxford ox2 8dp, UK.

2. Tom Denton, “Automotive Electronics Handbook”, McGraw-Hill Publishing Co. 3. Routledge, “Automobile Electrical and Electronic Systems”. 4. Newnes, “Understanding Automotive Electronics”.



Level 1. Outline the basic concepts of Fault Diagnostics L2 2. Explain the On and Off board Diagnostics L2 3. Appraise the Engine system Diagnostics L5 4. Discuss Chassis and Brake system diagnosis L2 5. Appraise the advances in Fault Diagnosis L5



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/ activity Quiz

Class


Maximum Marks: 50 25 10 5 10 50






Bloom’s Taxonomy of Learning Objectives

Bloom’s Taxonomy in its various forms represents the process of learning. It was developed in 1956 by Benjamin Bloom and modified during the 1990’s by a new group of cognitive psychologists, led by Lorin Anderson (a former student of Bloom’s) to make it relevant to the 21st century. The revised taxonomy given below emphasizes what a learner “Can Do”.

Lower order thinking skills (LOTS) L1 Remembering Retrieve relevant knowledge from memory.

L2 Understanding Construct meaning from instructional material, including oral, written, and graphic communication.

L3 Applying Carry out or use a procedure in a given situation – using learned knowledge.

Higher order thinking skills (HOTS)

L4 Analyzing Break down knowledge into its components and determine the relationships of the components to one another and then how they relate to an overall structure or task.

L5 Evaluating Make judgments based on criteria and standards, using previously learned knowledge.

L6 Creating Combining or reorganizing elements to form a coherent or functional whole or into a new pattern, structure or idea.

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