lap time simulation crucial for racecar concept evaluation · lap time simulation –crucial for...
TRANSCRIPT
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Fabrice Oehler AMZ Racing, Christoph Hahn MathWorks
Lap Time Simulation – Crucial for Racecar
Concept Evaluation
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WR Film
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Guinness World Record in Formula Student
AMZ Racing set a new world record for the fastest 0-100 km/h
acceleration of an electric car in 2014
5/10/2016 Akademischer Motorsportverein Zürich | Fabrice Oehler 3
1.785 s
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Guinness World Record in Formula Student
AMZ Racing set a new world record for the fastest 0-100 km/h
acceleration of an electric car in 2014
Greenteam Stuttgart set a new record in summer 2015
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1.785 s
1.779 s
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Formula Student
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About Formula Student
Largest engineering
competition worldwide
Over 500 Teams with
10’000 members
Combustion and electric
class
Different static and
dynamic events
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Points in a Formula Student Event
Engineering Design
Business Plan
Cost Event
Acceleration
Skidpad
Autocross
Endurance
Efficiency
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AMZ Racing
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AMZ Racing
Builds race cars for Formula Student since 2007
Since 2010 six electric cars were built
Since 2013 first place in Formula Student Electric world ranking
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Season 2015 - flüela
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4 wheel hub motors
25.7 Nm, 37 kW, 3.25 kg
Lithium Polymer accumulator
6.46 kWh
Full Aerodynamics-Package
Drag Reduction System (DRS)
Adaptive Damping System
Simulink programmed Vehicle Control Unit
2nd place in Formula Student Germany, 1st places in Austria and Spain
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Lap Time Simulation
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Motivation to Use Lap Time Simulation
Only eight months for design and manufacturing a race car
We need a tool for decision making
Different concept decisions can be analyzed
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Accumulator Capacity Gearbox Transmission Ratio Aerodynamic Sensitivities
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Workflow
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Concept idea Simulation
Evaluation
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Workflow
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Visualize
Car parameters
𝐿
ℎ
𝑚
Simulate Calculate and analyze Event
𝑥
𝑦
Velocity difference
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Structure of the Simulation Model
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Control
systemsDriver
Powertrain
/ Tires
Two-track
model
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Structure of the Simulation Model
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Control
systemsDriver
Powertrain
/ Tires
Two-track
model
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Software Demonstration
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Results
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Velocity difference of a 4WD car vs. a 2WD car
Δ𝑣[𝑘𝑚/ℎ]
32
28
24
20
16
12
8
4
0
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0
100
200
300
400
500
600
700
Po
ints
FSG Acceleration Points
Skidpad Points
Autocross Points
Endurance Points Total
2WD, no Aero 2WD, Aero 2WD, DRS 4WD, no Aero 4WD, Aero 4WD, DRS
Results – Concept Simulation
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Results – Energy Simulations 4WD with DRS
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0
100
200
300
400
500
600
700
5,5 5,7 5,9 6,1 6,3 6,5 6,7 6,9 7,1
Po
ints
FSG
Battery Capacity [kWh]
Acceleration Points
Skidpad Points
Autocross Points
Endurance Points Total
625
630
635
640
645
650
5,5 5,7 5,9 6,1 6,3 6,5 6,7 6,9 7,1
Po
ints
FSG
Battery Capacity [kWh]
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Validation
Different tests were made to validate our results:
Weight sensitivity validation
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Laptime deviation
Lapsim On-track test Delta
+ 1 kg + 0.087 % + 0.082 % 6 %
+ 10 kg + 0.893 % + 0.821 % 8 %
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Validation
Different tests were made to validate our results:
Weight sensitivity validation
Aerodynamics sensitivity validation
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Laptime deviation Aero vs. no Aero
Lapsim On-track test Delta
3.82 % 3.97 % 4 %
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Conclusions
By using Lap Time Simulation we get a decision-making basis for
different concepts
Aerodynamic setups
Amount of accumulator capacity
Transmission ratio
Models are simplifications, but they are very helpful.
Currently implementing suspension system.
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MathWorks Support for Formula Student
Complimentary Software
MATLAB and Simulink
Racing Lounge
Online Training for
Physical Modeling
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Thanks for Your Attention