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Towards virtual vehicle dynamics Evaluation Gaspar Gil Gómez May 3, 2016 SVEA Vehicle Dynamics Seminar 2016

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Towards virtualvehicle dynamics

Evaluation

Gaspar Gil Gómez

May 3, 2016

SVEA Vehicle Dynamics Seminar 2016

Correlation of objective metrics

and subjective assessments

iCOMSA

What is it about?

A

pleasant

trip?

Or as a

threat

to life?

What makes the difference?

Does the driver perceive it as...

05/03/2015 TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ 3

05/03/2015

Why? - Research motivation

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Why investing effort, time and money in this project?

Vehicle dynamics development strongly based on subjective testing

• High expenses (expert drivers – prototypes)

• Based on a mixed of experience and “Trial & Error”)

Subjective assessments and their relation with objective metrics have to be understood

Vehicle dynamics development

4

05/03/2015 TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Why investing effort, time and money in this thesis?

Vehicle dynamics development strongly based on subjective assessments (SA)

Model-based development (i.e. objective metrics – OM) desired to:

• Reduce cost and development time

• Increase customers satisfaction ( requirements)

However, current models are not able to predict steering and handling feel!

Therefore, SA and their relation with OM have to be understood

Why? - Research motivation

5

05/03/2015 TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

How can the knowledge about

the correlation between subjective assessments and objective metrics

be increased?

In addition, how can this knowledge enable

an efficient vehicle dynamics evaluation?

How - Research question

6

05/03/2015 7

Vehicle dynamics development: from tradition to virtual

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Subjective Assessments

EVALUATION ESTIMATION

Level 2 Level 3 Level 4 Level 5

Steering Feel

Parking/Manoeuvring

Effort

Returnability

Manoeuvrability

Straight-ahead Controllability

Response Window

Roll Control

Torque Feedback

Torque Deadband

Torque Buildup

Friction Feel

Damping

Modulation

Cornering Controllability

Response

Roll Control

Torque Feedback Torque Buildup

Returnability

Modulation

Objective Metrics

05/03/2015 8

Vehicle dynamics development: from tradition to virtual

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Subjective Assessments

EVALUATION ESTIMATION

Level 2 Level 3 Level 4 Level 5

Steering Feel

Parking/Manoeuvring

Effort

Returnability

Manoeuvrability

Straight-ahead Controllability

Response Window

Roll Control

Torque Feedback

Torque Deadband

Torque Buildup

Friction Feel

Damping

Modulation

Cornering Controllability

Response

Roll Control

Torque Feedback Torque Buildup

Returnability

Modulation

Objective Metrics

05/03/2015 9

Vehicle dynamics development: from tradition to virtual

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Subjective Assessments

EVALUATION ESTIMATION

Level 2 Level 3 Level 4 Level 5

Steering Feel

Parking/Manoeuvring

Effort

Returnability

Manoeuvrability

Straight-ahead Controllability

Response Window

Roll Control

Torque Feedback

Torque Deadband

Torque Buildup

Friction Feel

Damping

Modulation

Cornering Controllability

Response

Roll Control

Torque Feedback Torque Buildup

Returnability

Modulation

Objective Metrics

?

correlations

05/03/2015 10

Correlation between Om & sa

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Lin

ear

anal

ysis

LEVEL 2-4

LINEAR REGRESSION CONFIDENCE INTERVAL

LEVEL 5

05/03/2015 11

Correlation between Om & sa

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Non

-Lin

ear

anal

ysis

Artificial Neural networks

LEVEL 2-4

05/03/2015 12TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

OM – SA correlations (om PREFERRED RANGE)

Identified preferred OMs. DS1: C-, D- & E-class. DS2, DS3 and King. et al. (2002): only D-class.

Within parenthesis (): OM-SA correlation without high confidence, e.g. OM-12: (1.5 – 2.0 °/g)

Within brackets []: OM corresponding to the middle SA value for level 5, i.e. SA = 3, e.g. OM-1: [4°]

No Objective measure All DS DS2 DS1 King et al.

(2002)

1 Window [°] < 3.5

Lv.5 [4] <3.7

2 Response Gain Straight Path

[°/s/100°SWA] > 25 29.5-33.5 25-30 20-25

3 Lateral Acc. Resp. Gain [g/100°SWA] LS > 1.1 >1.125 >1.25

4 Lateral Acc. Resp. Gain [g/100°SWA] HS > 1.7 >1.8

5 Gain Linearity [-] (<1.4)

7 Roll Control Straight Path [°/s/g] < 31.25 <30.5

8 Torque Deadband [°] 1.2-2.0

Lv.5 [2] <1.6 <2.2

... ... ...

05/03/2015 13TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

OM - 2Response gain straight path

OM - 3Lateral acceleration

response gain

low speed

OM - 4Lateral acceleration

response gain

high speed

OM - 11Yaw response

gain

OM - 24Low speed

response gain

OM - 12Response gain

understeer

OM - 17Ay - Yaw phase

time lag @ 4m/s2

OM - 1Window

OM - 9Torque build-up

OM - 19Torque build-up into the corner

OM - 8Torque deadband

OM - 23Effort level

OM - 15Yaw - SWA phase time lag @ 4m/s2

OM - 16Ay - SWA phase

time lag @ 4m/s2

High correlation

Medium correlation

SA-SA & OM-OM auto-Correlations

05/03/2015 14TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

World clouds analysis

05/03/2015 15TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

World clouds analysis

12/06/2015 16

Driver rating tendency and repeatability

TOWARDS EFFICIENT VEHICLE DYNAMICS EVALUATION USING CORRELATIONS OF OBJECTIVE METRICS AND SUBJECTIVE ASSESSMENTS - GASPAR GIL GÓMEZ

It has been identified the need to improve SA:

• Different drivers’ test procedures.

• Different drivers’ rating tendency.

• Different usage of the rating scale.

• Rating repeatability

05/03/2015 17

Vehicle dynamics development: from tradition to virtual

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Subjective Assessments Objective Metrics

Ph

ys

ica

l

Te

sti

ng

Vir

tua

l

Te

sti

ng

05/03/2015 18

Vehicle dynamics development: from tradition to virtual

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Subjective Assessments Objective Metrics

Ph

ys

ica

l

Te

sti

ng

Vir

tua

l

Te

sti

ng

• Improve quality-efficiency of SA• rating spread

• time required

• non answered questions

• Focusing in key-questions

• Complement numerical data

• Study of OM on winter conditions• To allow winter OM-SA

correlations

• Continue with OM-SA ANN studies

12/06/2015 19

• Increase knowledge on SA in the Moving Based Driving Simulator• MBDS-SA Validation

Further REQUIRED steps TOWARDS VIRTUAL VERIFICATION

TOWARDS EFFICIENT VEHICLE DYNAMICS EVALUATION USING CORRELATIONS OF OBJECTIVE METRICS AND SUBJECTIVE ASSESSMENTS - GASPAR GIL GÓMEZ

3 MSc Thesis

05/03/2015 20

MBDS SA VALIDATION

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

05/03/2015 21

MBDS SA VALIDATION – MODEL CONSTRUCTION

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Vehicles Configurations

EPAS

tyres

dampers

05/03/2015 22

MBDS SA VALIDATION – MODEL VALIDATION (om vs OM)

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

05/03/2015 23

MBDS SA VALIDATION – MBDS VALIDATION (SA vs SA)

TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ

Driver Gender Age Experience

Skill Role

A Male 54 30 5 Technical leader

B Male 35 7 5 Development Engineer

C Male 29 0.5 3 Development Engineer

D Male 34 4 4 Development Engineer

Test Drivers

Vehicles Configurations

Contact: [email protected]

THANK YOU FOR YOUR ATTENTION!

Tack så mycket! ¡MUCHAS Gracias!

QUESTIONS ?Contact: [email protected]