vehicle dynamics – it’s all about the calculus… j. christian gerdes associate professor...

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Vehicle Dynamics – It’s all about the Calculus… J. Christian Gerdes Associate Professor Mechanical Engineering Department Stanford University

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Vehicle Dynamics – It’s all about the Calculus…

J. Christian Gerdes

Associate Professor

Mechanical Engineering Department

Stanford University

Dynamic Design LabStanford University - 2

Future Vehicles…

Safe

By-wire Vehicle DiagnosticsLanekeeping Assistance

Rollover Avoidance

Fun

Handling CustomizationVariable Force FeedbackControl at Handling Limits

Clean

Multi-Combustion-Mode EnginesControl of HCCI with VVA

Electric Vehicle Design

Dynamic Design LabStanford University - 3

Electric Vehicle Design

How do we calculate the 0-60 time?

Dynamic Design LabStanford University - 4

Basic Dynamics

Newton’s Second Law

With Calculus

If we know forces, we can figure out velocity

2

2

dt

xdm

dt

dVmF

maF

Dynamic Design LabStanford University - 5

What are the Forces?

Forces from: Engine Aerodynamic Drag Tire Rolling Resistance wheel

gear

r

RV

2

2

1VACF

r

R

dt

dVm Drr

wheel

gearmotor

Dynamic Design LabStanford University - 6

Working in the Motor Characteristics

2

2

1VACF

r

R

dt

dVm Drr

wheel

gearmotor

plplslope

pl

motor

max

max

Dynamic Design LabStanford University - 7

Working in the Motor Characteristics

tf

t

Drrwheel

gearmotorf dtVACF

r

RVVm

0

20 2

1

plplslope

pl

motor

max

max

Dynamic Design LabStanford University - 8

Some numbers for the Tesla Roadster

From Tesla’s web site: m = mass = 1238 kg Rgear = final drive gear ratio = 8.28 A = Frontal area = Height*width

Overall height is 1.13mOverall width is 1.85mThis gives A = 2.1m2 but the car is not a box. Taking

into account the overall shape, I think A = 1.8 m2 is a better value to use.

CD = drag coefficient = 0.365 This comes from the message board but seems

reasonable

Dynamic Design LabStanford University - 9

More numbers for the roadster

From other sources rwheel = wheel radius = 0.33m (a reasonable value) Frr = rolling resistance = 0.01*m*g

For reference, see:http://www.greenseal.org/resources/reports/CGR_tire_rollingresistance.pdf

= air density = 1.2 kg/m3

Density of dry air at 20 degrees C and 1 atm To keep in mind:

Engine speed w is in radians/sec The Tesla data is in RPM 1 rad/s = .1047 RPM

(or 0.1 for back of the envelope calculations) 1mph = 0.44704 m/s

wheel

gear

r

RV

Dynamic Design LabStanford University - 10

Motor issues

The website lists a motor peak torque of 375 Nm up to 4500RPM. This doesn’t match the graph.

They made changes to the motor when they chose to go with a single speed transmission. I think the specs are from the new motor and the graph from the old one.

Here is something that works well with the new specs:

rad/s 45045032.0375

rad/s 450375

Nm

Nmmotor

Dynamic Design LabStanford University - 11

Results of my simulation

Pretty cool – it gives a 0-60 time of about 3.8s Tesla says “under 4 seconds” Top speed is 128 mph (they electronically limit to 125)

Dynamic Design LabStanford University - 12

P1 Steer-by-wire Vehicle

“P1” Steer-by-wire vehicle Independent front steering Independent rear drive Manual brakes

Entirely built by students 5 students, 15 months from start to first driving tests

steering motors

handwheel

Dynamic Design LabStanford University - 13

Future Systems

Change your handling… … in software

Customize real cars like those in a video game

Use GPS/vision to assist the driver with lanekeeping

Nudge the vehicle back to the lane center

Dynamic Design LabStanford University - 14

Steer-by-Wire Systems

Like fly-by-wire aircraft Motor for road wheels Motor for steering wheel Electronic link

Like throttle and brakes

What about safety? Diagnosis Look at aircraft

handwheel

handwheel angle sensor

handwheel feedback motor

steering actuatorshaft angle sensor

power steering unitpinion

steering rack

Dynamic Design LabStanford University - 15

Bicycle Model

Basic variables Speed V (constant) Yaw rate r – angular velocity of the car Sideslip angle – Angle between velocity and heading Steering angle – our input

Model Get slip angles, then tire forces, then derivatives

f

r V

ba

r

Dynamic Design LabStanford University - 16

Vehicle Model

Get forces from slip angles (we already did this) Vehicle Dynamics

This is a pair of first order differential equations Calculate slip angles from V, r, and Calculate front and rear forces from slip angles Calculate changes in r and

rI

maF

zz

yy

rIbFaF

rmVFF

zyryf

yryf

)(

Dynamic Design LabStanford University - 17

Calculate Slip Angles

rV

br

V

aV

brV

V

arV

rf

rf

cos

sintan

cos

sintan

f

r V

ba

r

f

cosV

arV sinr

cosV

brV sin

Dynamic Design LabStanford University - 18

Lateral Force Behavior

s=1.0 and p=1.0 Fiala model

0 0.5 1 1.5 2 2.5 30

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

q

F/F

z an

d t

p/tp0

F/Fz

tp/t

p0

zpF

C

tan

Dynamic Design LabStanford University - 19

When Do Cars Spin Out?

Can we figure out when the car will spin and avoid it?

Dynamic Design LabStanford University - 20

0 2 4 6 8 10 12 14 160

0.1

0.2

0.3

Front slip angle

f (ra

d)

GPS

NL Observer

0 2 4 6 8 10 12 14 16

0

0.05

0.1

Rear slip angle

Time (s)

r (ra

d)

0 0.05 0.1 0.15 0.2 0.25 0.30

1000

2000

3000

4000

5000

6000

7000

8000Tire Curve

-La

tera

l Fro

nt T

ire F

orc

e F

yf (

N)

Slip angle f (rad)

linear nonlinear

Comparing our Model to Reality

loss of control

Dynamic Design LabStanford University - 21

Lanekeeping with Potential Fields

Interpret lane boundaries as a potential field

Gradient (slope) of potential defines an additional force

Add this force to existing dynamics to assist Additional steer angle/braking

System redefines dynamics of driving but driver controls

Dynamic Design LabStanford University - 22

Lanekeeping on the Corvette

Dynamic Design LabStanford University - 23

Lanekeeping Assistance

Energy predictions work! Comfortable, guaranteed lanekeeping Another example with more drama…

Dynamic Design LabStanford University - 24

Handling Limits

What happens when tire forces saturate? Front tire

Reduces “spring” force Loss of control input

Rear tire Vehicle will tend to spin Loss of stability

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.40

1000

2000

3000

4000

5000

6000

alpha (rad)

-Fy

(N) handling limits

linear region

Is the lanekeeping system safe at the limits?

Dynamic Design LabStanford University - 25

Countersteering

Simple lanekeeping algorithm will countersteer Lookahead includes heading error Large heading error will change direction of steering

Lanekeeping system also turns out of a skid

Lateral error

Projected error

Example: Loss of rear tire traction

Dynamic Design LabStanford University - 26

Lanekeeping at Handling Limits

Dynamic Design LabStanford University - 27

Video from Dropped Throttle Tests

Dynamic Design LabStanford University - 28

Controller countersteers to prevent spinout

Lanekeeping Active Lanekeeping Deactivated

Yaw Stability from Lanekeeping

Dynamic Design LabStanford University - 29

Controller response to heading error prevents the vehicle from spinning

A Closer Look

Dynamic Design LabStanford University - 30

Conclusions

Engineers really can change the world In our case, change how cars work

Many of these changes start with Calculus Modeling a tire Figuring out how things move Also electric vehicle dynamics, combustion…

Working with hardware is also very important This is also fun, particularly when your models work! The best engineers combine Calculus and hardware