determining aero and tyre models of race cars from data using chassissim

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Quantifying aero and tyre performance using ChassisSim.

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It is often thought to be very difficult or impossible to extract the aerodynamic and tyre properties of the race car from data. In this seminar Danny Nowlan the Director of ChassisSim Technologies will show you how this can be done using the motorsports multi body vehicle simulation program ChassisSim. What will be shown is common place throughout the ChassisSim community that spans vehicles as diverse as open wheelers, sportscars, touring cars and GT cars.

TRANSCRIPT

Page 1: Determining Aero and Tyre models of race cars from data using ChassisSim

Quantifying aero and tyre

performance using ChassisSim.

Page 2: Determining Aero and Tyre models of race cars from data using ChassisSim

Introduction

• Quantifying tyre and aero performance is key

to engineering a race car.

• This is thought to be impossible from race

data.

• However it is done on a daily basis using

ChassisSim.

• We’ll discuss the how and why.

Page 3: Determining Aero and Tyre models of race cars from data using ChassisSim

Linking Data to the simulator – Creating a

monster file • A monster file is constructed from a single flying lap.

• This is exported at 50 Hz from your logger.

• Using the monster file you can.

• Construct the circuit properties

• Perform Baseline modelling.

• A monster file looks something like this,

0 6564 -0.02 0.05 -6.21 -3.3 23.17 28.62 -0.1 100 231.7

1.305 6612 -0.1 0.25 -6.9 -3.95 21.52 25.94 -0.1 100 231.7

2.606 6588 -0.05 0.25 -6.2 -3.71 20.69 24.08 -0.1 100 231.6

3.908 6600 -0.33 0.19 -5.13 -2.63 20.72 24.93 -0.1 100 232.2

5.209 6564 -0.05 0.25 -3.98 -1.62 21.77 26.46 -0.1 100 231.8

Page 4: Determining Aero and Tyre models of race cars from data using ChassisSim

Modelling Aerodynamics

Page 5: Determining Aero and Tyre models of race cars from data using ChassisSim

CLA, CDA, and aero balance – The metrics of

Aerodynamics

• Downforce - CLA, Drag – CDA and aero balance can be

defined as,

AeroRAeroF

AeroF

xD

AeroRAeroFZL

FF

Fawf

V

DragCAC

V

FFCAC

2

2

21

21

• Keep this in strict SI Units. Forces are in N, speed in m/s,

and density kg/m3 .

Page 6: Determining Aero and Tyre models of race cars from data using ChassisSim

Using Race data to construct the Aeromap

• When a car is run on the race track it returns a thin sliver of

the aeromap

• If you don’t have ride height sensors these can be inferred by,

t

S

mk

Fw

i

i

m

s

i wMR

xd 2

2

43

0

210

ddrhrh

ddrhrh

rr

ff

Page 7: Determining Aero and Tyre models of race cars from data using ChassisSim

Aeromap Test procedure • The following is suggested as a test matrix.

Run No Setup

1 frh0 and rrh0 + baseline rear wing

2 frh0 and rrh0 + d_rrh + baseline rear wing

3 frh0 and rrh0 + 2*d_rrh + baseline rear wing

4 frh0 and rrh0 + 3*d_rrh + baseline rear wing

5 frh0 – d_rrh and rrh0 + baseline rear wing

6 frh0 + d_rrh and rrh0 + baseline rear wing

7 frh0 and rrh0 + baseline rear wing

8 frh0 and rrh0 + baseline rear wing + 2 holes

9 frh0 and rrh0 + baseline rear wing + 3 holes

• Just to clarify the nomenclature we have, frh0 = Baseline front ride height as specified in the starting setup.

rrh0 = Baseline front ride height as specified in the starting setup.

d_rrh = delta rear ride height.

d_frh = delta front ride height.

Page 8: Determining Aero and Tyre models of race cars from data using ChassisSim

Using the Aero Modelling toolbox • You create monster files from each of these runs.

• You then open the Aero toolbox in ChassisSim

• This generates a file called aero_analysis_results.dat

Page 9: Determining Aero and Tyre models of race cars from data using ChassisSim

Tyre Modelling

Page 10: Determining Aero and Tyre models of race cars from data using ChassisSim

The ChassisSim V3 Tyre Model –

Formulation • The mathematical formulation of the tyre model is shown

below

MAXzcambTCTZx

MAXzcambMTFyTZy

TMaxTZT

TZMAX

TZzcambMTMTMax

FFTFSRfnF

FFCTFfnF

MTFfnM

TFfnF

TFfnFCM

,,,

,,,

,,

),(

),(,

_

_

• For the time being we will focus on the lateral and

longitudinal forces. However the same techniques can

be applied to self aligning torque.

• Effectively this represents an approximation that is put into

a lookup table.

Page 11: Determining Aero and Tyre models of race cars from data using ChassisSim

The ChassisSim Tyre Model quick start

• This is all summarised in the ChassisSim tyre model quick start.

• This is what you are going to use to refine the results.

Page 12: Determining Aero and Tyre models of race cars from data using ChassisSim

Using the ChassisSim tyre quick start

• Adjusting the init long multiplier.

• Sample camber values

Car Type Lat Camb sensitivity Long Camb sensitivity

Open Wheeler 3 2

GT car 2 2

Sedan 0.5 – 1 0.5 - 1

Page 13: Determining Aero and Tyre models of race cars from data using ChassisSim

The ChassisSim tyre force modelling toolbox

• This is the ChassisSim Tyre force Modelling toolbox

• Works off doing track replays comparing actual to simulated

lateral acceleration from looking at race data.

Page 14: Determining Aero and Tyre models of race cars from data using ChassisSim

Creating advanced tyre models • Step – 1 – Create the 2D Model.

• Step – 2 – Optimise camber and slip settings

• Step – 3 – Tune in temperature characteristics in tyre

properties

• Step – 4 – Create the 3D Tyre model.

Page 15: Determining Aero and Tyre models of race cars from data using ChassisSim

What to expect

• The end result of ChassisSim Tyre modelling.

Page 16: Determining Aero and Tyre models of race cars from data using ChassisSim

Conclusion • Modelling tyres and aero from Race data can be done.

• It’s just a matter of procedure and being patient.

• Prepare the monster file and put in your setup.

• Aero – run the test matrix and then use the Aero

modelling toolbox.

• Tyre modelling – tyre quick start and then use the tyre

force modelling toolbox.