© ricardo plc 2007 confidential - internal use only automotive hybrid experience applied to...
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© Ricardo plc 2007 CONFIDENTIAL - Internal Use Only
Automotive Hybrid ExperienceApplied to Electric Aircraft Design
byMarc W. Wiseman, Ph.D., Divisional Product Group Director, Advanced Technology
and James C. Paul, P.E., Senior Engineer and Business Development ManagerRicardo, Inc.
Electric Aircraft Symposium
Westin Hotel, Millbrae, California
23 May 2007
http://www.designation-systems.net/dusrm/app2/q-7.html www.cafefoundation.org
NASA PAV Concept
Shadow 200 UAV
© Ricardo plc 2007 CONFIDENTIAL - Internal Use Only
NASA PAV Concept
Shadow 200 UAV
The automotive industry has made significant progress in the area of electric vehicle (EV) and hybrid-electric vehicle (HEV) drive systems.
This experience can be leveraged to support development of electric and hybrid-electric PAVs and UAVs.
Energy storage, on-board power generation, vehicle modeling and integration, electric machines, and controls/power electronics will be discussed.
Possible integration of these technologies into future aircraft designs will be explored.
Automotive Hybrid Experience Applied to Electric Aircraft Design
Thesis
The auto industry has evaluated a wide range of hybrid schemes
Electrical Machines
Power Transmission
Energy Storage
www.evworld.com/press/sandia_lithium-ion.jpg
© Ricardo plc 2007 CONFIDENTIAL - Internal Use Only
Automotive Hybrid Experience Applied to Electric Aircraft Design
Company Overview
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Ricardo has been involved in hybrid vehicle development since 1999: 1. Proprietary programs for OEMs, component suppliers, government agencies, military.
2. Ricardo internal R&D programs
Ford Escape HEV
Battery /ControlsBattery /ControlsBattery /Controls
Mild Hybrid Full Hybrid Optimum EfficiencyMicro Hybrid
HyTrans Efficient-Ci-MoGen
Military/Off-roadHybrid Refuse TruckUS Government Advanced Hybrid Vehicles
Selected ProjectsGVWs have ranged from 3.5 to 25 tons.
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Projects have spanned the full range of hybridization,from “micro” to “full”
Micro Mild Full Commercial
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Powertrain and Vehicle
Controls and Electronics
Electric Machines, Power Electronics and Energy Storage
Program management
Ricardo’s hybrid experience includes over 120 dedicated
development engineers & consultants
– Production design and release– Vehicle engineering & system simulation– Engine and transmission design and development for hybrids– Prototype and pre-production build
– System simulation– Control strategy development– Embedded software development– Software tools– Hardware-in-the-loop application
– Motor development – Electronic hardware (including power electronics) development and
validation – Energy storage modelling, test and validation
– Current technology analysis– Market characteristic assessment– Opportunities assessment– Technical trend assessment– Program planning business case development– Program support & guidance
Capabilities
Ricardo is experienced in developing corporate strategies for hybrid vehicles
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Ricardo has been actively engaged in advanced energy storage systems and integration into hybrids for over 6 years.
Requirements definition and cost/benefit analyses for EVs, HEVs and PHEVs
Mechanical design for vibration, shock and crash
Pack design for cost, assembly and manufacture (DFx)
Thermal design, analysis, development and validation
Simulation and test, validation of battery system
Control algorithm and software development for SOC/SOH
Battery Management System (BMS) hardware design and validation
Safety system integration, FMEA, and Hazard Analysis
Supply chain management of subsystems
Prototype manufacturing, validation and launch support
Ricardo currently studying market potential for establishing a Center of Excellence for Energy Storage development in Michigan
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Status of Automotive Hybrid Technology
Five OEMs have hybrid products on the market. Many offer more than 1 vehicle and most are working on at least their second generation of hybrid technology.
Hybrids vehicles are low volume – key focus is on production quality of hybrid components to avoid warranty costs. Production targets include:
– Design for less than 100 ppm failures in vehicle (i.e zero failure).– Design for 150k miles / 10 year life (equates to over 7500 hrs of operation time)– Robust to significant vibration and shock forces.– Robust to thermal temperature extremes.
NiMH batteries are proving to have good cycle life and good calendar life.
Lithium ion technology is being actively developed for next generation hybrid batteries.
Good understanding is being gained of potential operating failure modes for hybrid systems and mitigation strategies.
Toyota Prius Honda Civic Ford Escape Saturn Vue Nissan Altima
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Ricardo’s Current Aerospace Activities
Aviation Week & Space Technology April 2, 2007
Wide range of applications, 1hp to 1000hp– “Backpack” engine for suit cooling/local power– “Powerpack” handheld genset engine– Several UAV engine concepts, including High
Altitude– UAV heavy fuel engine demonstrator– Helicopter powerplant concept for extended
range
Focus on Unmanned Aerial Vehicles
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Ricardo’s Current Aerospace Activities
UAVs span a wide size range, including sizes appropriate for PAVs
• Military applications are a primary driver for the UAV industry.
• Current goals are:
1. Increased Endurance
2. Reduced Noise
3. Operate on Available Fuels
4. Increased Payload Capacity
5. Reduced Maintenance
6. Improved Durability
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Approach to Electric/Hybrid Aircraft Design
Perform mission requirement/energy requirements trade-off studies using:
Classical analysis (spreadsheets)
Computer simulation
MSC.EASY5
– MSC.EASY5Ricardo Powertrain LibraryRicardo Engine LibraryRicardo Fuel Cell LibraryRicardo Electric Drive Library
Available libraries allow simulation of a wide range of power system designs to facilitate selection and sizing of components.
Full-Throttle Power Available
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Approach to Electric/Hybrid Aircraft Design
From: Dommasch Airplane Aerodynamics, Fourth Edition, Page 302
Speeds for Best Range and Endurance for Propeller-Driven Aircraft
Power Required CurveBest Endurance Speed = Speed at Minimum Power (maximum time in air)
Best Range Speed = Speed at Which the Ratio HP/V is a Minimum (the speed giving the greatest ratio of velocity to horsepower required).
Assumes the thrust specific fuel consumption (lb/THP-hr) is essentially constant over the low HP range.
Backside of power curve: if speed is decreased, power must be added to hold altitude
Design Propulsion System Based on Minimum Energy Mission Approach (takeoff, dash, cruise)
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Approach to Electric/Hybrid Aircraft Design
TOOLS– Matlab Simulink, EASY5
Ricardo Powertrain Library for SimulinkV-SIM (IPT)Ricardo Engine Simulation Libraries
CAPABILITIES Duty Cycle Simulation (fuel consumption and
emissions) Performance Simulation (Climb, Dash, Top Speed) Co-simulation with WAVE, FLOWMASTER, etc.
Drive Cycle Simulation of Mild Hybrid Diesel-Electric Pickup TruckDrive Cycle Simulation of Mild Hybrid Diesel-Electric Pickup Truck
0 100 200 300 400 500-50
0
50
100
150
200
250
Drive Cycle Simulation of Mild Hybrid Diesel-Electric Pickup Truck
0 100 200 300 400 500-1E+4
-5E+3
0
5E+3
1E+4
1.5E+4
2E+4
Model: ParallelHybrid, Runid: simulation, Case: 1, Display: 7. 06-FEB-2003, 10:38:34
Time [s]
Pow
er [W
]
Motor-Generator Mechanical Power
Time [s]
Torq
ue [N
.m]
Engine Torque
Drive Cycle Simulation of Mild Hybrid Diesel-Electric Pickup TruckDrive Cycle Simulation of Mild Hybrid Diesel-Electric Pickup Truck
0 100 200 300 400 5000
10
20
30
Drive Cycle Simulation of Mild Hybrid Diesel-Electric Pickup Truck
0 100 200 300 400 5000
4
8
12
16
20
24
Model: ParallelHybrid, Runid: simulation, Case: 1, Display: 7. 06-FEB-2003, 10:38:34
Time [s]
MP
G
Average Fuel Economy
Time [s]
Spe
ed [m
/s]
Speed Setpoint Vs Actual Speed
Drive Cycle Simulation of Mild Hybrid Diesel-Electric Pickup TruckDrive Cycle Simulation of Mild Hybrid Diesel-Electric Pickup Truck
0 100 200 300 400 500-1E+4
-5E+3
0
5E+3
1E+4
1.5E+4
2E+4
2.5E+4
Drive Cycle Simulation of Mild Hybrid Diesel-Electric Pickup Truck
0 100 200 300 400 5000
0.2
0.4
0.6
0.8
Model: ParallelHybrid, Runid: simulation, Case: 1, Display: 6. 06-FEB-2003, 10:38:34
Time [s]
Sta
te [0
-1]
Battery State of Charge
Time [s]
Pow
er [W
]
Battery Power
Drive Cycle Simulation of a Light commercial Truck
Motor-generator mechanical power
Engine torque
Set point versus actual speed
Average fuel economyBattery state of charge
Battery powerVEMPS(60Mb project code)
CANTRACKVDU
NEW BOSCH ECU
VALEOFMED CU
VALEOBattery Man
VALEODC/DC conv
WABCOBrake Assist
VALEOHVAC
SmartWater Pump
SmartFans
SmartActuators
OPELhE-PAS
present on car
SmartVNT actuator
SmartEGR actuator
SmartThrot’ actuator
SensorDoors
SensorVehicle Speed
SensorClutch Pedal
SensorBrake Pedal
SensorBonnet
SensorVoltages
Sensors(Many)
Sensors(Many)
K-LinePWM
Analogue
SensorsThermal
SensorsV + Amp
SensorVacuum
Laptop withINCA Calibration
Tool(temporary)
CANALISER(temporary)
CAN
i-MoGen Control System• 14 Micro Controllers / Computers added
• 6 smart actuators or ancillaries
• + 2 temporary calibration tools
OPELABS
present on car
SensorsVoltage
VEMPS(60Mb project code)
CANTRACKVDU
NEW BOSCH ECU
VALEOFMED CU
VALEOBattery Man
VALEODC/DC conv
WABCOBrake Assist
VALEOHVAC
SmartWater Pump
SmartFans
SmartActuators
OPELhE-PAS
present on car
SmartVNT actuator
SmartEGR actuator
SmartThrot’ actuator
SensorDoors
SensorVehicle Speed
SensorClutch Pedal
SensorBrake Pedal
SensorBonnet
SensorVoltages
Sensors(Many)
Sensors(Many)
K-LinePWM
Analogue
SensorsThermal
SensorsV + Amp
SensorVacuum
Laptop withINCA Calibration
Tool(temporary)
CANALISER(temporary)
CAN
i-MoGen Control System• 14 Micro Controllers / Computers added
• 6 smart actuators or ancillaries
• + 2 temporary calibration tools
OPELABS
present on car
SensorsVoltage
Vehicle Control System Development
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One challenge for Electric aircraft is the weight of the energy storage system.
Example Operating Characteristics for UAV
Target Weight 300 lbs [136 kg]
Typical cruise power 6 HP [4.5 kW]
Typical take off power 24 HP [18 kW]
Estimated take off energy 3 kWh
Estimated cruise energy 4.5kWh per hour of flight time.
Estimated Automotive Li-ion Battery Characteristics
Li –ion energy density 80 – 120 Wh / kg
Li-ion max power density 1300 – 1600 W / kg
Li-ion cont power density 800 – 1000 W / kg
Current estimated battery life 5000 flights
For the following example, Lithium-Ion Batteries were Selected as Being Representative of the
Best Currently-Available Technologies for Energy and Power Density
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Battery weight remains a challenge which limits flight time
Calculations based on a 300 lb UAV
The battery pack alone would be 300 lbs for a 3 hr flight
time !!
A holistic approach is needed to improve flight time by finding ways to reduce takeoff and cruise power, take weight out of all components.
Effect of Battery Cell Weight on Flight time
0
100
200
300
400
500
600
700
0 1 2 3 4 5 6 7
Flight time (hrs)
Ba
tte
ry w
eig
ht
(lb
s)
UAV weight !!!
Example
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How can performance be improved if energy storage remains a limiting factor? 1. Reduce drag, CD
2. Reduce weight, W
3. Improve efficiency, CL/CD
4. Change mission profile (e.g. HP vs time history, improved take-off profiles)
5. On-board power generation (e.g. solar cells)
6. Improved energy storage systemsTraditional aircraft design approaches have included trade-offs between efficiency and performance with focus on performance.
Electric aircraft will include similar trade-off studies, but the focus will be on minimizing energy use.
AeroVironment Helios Aircraft with Solar Panels on Wings
http://www.pvresources.com/en/helios.php
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To meet goal of 8hr+ flight time, efficiency improvements and alternative power sources are needed.
Solar Energy Benefit to Flight time
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
0.00 2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00
Flight Time (hrs)
So
lar
En
erg
y (
kW
)
100 lb Battery Pack
150 lb Battery Pack
100lb Battery Pack - 50% lower cruisepower
Solar cells alone are not optimum solution
Effort is required to reduce cruise power
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Conclusions
Automotive engineering practice is providing high quality, robust and long life electric motors, electronics and battery systems.
Hybrid road vehicle technology is developing at a rapid pace with particular progress being made in the areas of 1) equipment costs (including manufacturing methods and economies of scale), 2) operational failure modes are well understood and mitigation strategies can be deployed, and 3) weight optimization methods.
Current battery technology presents a challenge for achieving weight targets.
Detailed analysis and a holistic approach to UAV/PAV design is required to meet mission requirements. Modeling tools are available to assist in configuration assessment and component sizing.
Note possible technology development opportunity: DARPA-sponsored Vulture Program (5 year-aloft, 1000 lb solar/battery/fuel-cell powered aircraft).