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Virtual Testing and Subjective Evaluation of Chassis Components in - - PowerPoint PPT Presentation

IVK Institut fr Verbrennungsmotoren und Kraftfahrwesen Virtual Testing and Subjective Evaluation of Chassis Components in the Stuttgart Driving Simulator IPG Apply & Innovate, Karlsruhe September 20 21, 2016 Dipl.-Ing. Minh-Tri


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IVK – Institut für Verbrennungsmotoren und Kraftfahrwesen

Virtual Testing and Subjective Evaluation of Chassis Components in the Stuttgart Driving Simulator

IPG Apply & Innovate, Karlsruhe September 20 – 21, 2016 Dipl.-Ing. Minh-Tri Nguyen

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I. Motivation and Purpose II. Principle of Driving Dynamics Evaluation in the Simulator III. Implementation of the Driving Scenario

  • IV. Human’s Perception of Vehicle Motion

V. Evaluation of Chassis Components

  • VI. Summary

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Overview

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Motivation and Purpose

I.

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  • Integration of the driving simulator in the process of chassis development

and driving dynamics Vision: Holistic approach for vehicle development

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Motivation and Purpose

Stuttgart Driving Simulator Vehicle Aeroacoustics Wind Tunnel IVK Driving Dynamics Test Bench

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SLIDE 5
  • Improving system understanding in early stages of the development

process by subjective evaluation

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Motivation and Purpose

Definition, Concept Simulation Prototype Building, Validation Tuning, Optimization SOP Subjective Evaluation Objective Data Testing Simulation

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SLIDE 6
  • Approach for driving dynamics evaluation in the driving simulator

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Motivation and Purpose

Use Case, Benefits, Limits. Customized Modeling and Simulation

  • Subjective

driving impression

  • Comparison to

Reality

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SLIDE 7

Principle of Driving Dynamics Evaluation in the Simulator

II.

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SLIDE 8
  • Common process for subjective and objective evaluation of driving

dynamics

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Principle of Driving Dynamics Evaluation in the Simulator

δ

ψ, ϑ, φ, … Driver’s reaction Vehicle’s reaction

Disturbances Driver Vehicle

  • Subj. Evaluation
  • Obj. Data

Correlation subj.- obj.

?

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SLIDE 9
  • Driving Simulator process for subjective evaluation of driving dynamics

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Principle of Driving Dynamics Evaluation in the Simulator

δ

Ψ‘, ϑ‘, φ‘

Disturbances Driver Simulator Model Motion Cueing

On/Off Ψmod, ϑmod, φmod Model’s reaction Driver’s reaction Simulator’s reaction

  • Subj. Evaluation

Correlation subj.- obj.

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SLIDE 10

Implementation of the Driving Scenario

III.

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SLIDE 11

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Requirements for the Vehicle Model Implementation of the Driving Scenario

Computing Time Subjective improvement due to model complexity

Limit of Real Time Capability

Accuracy of Modeling

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SLIDE 12

9/21/2016 University of Stuttgart 12

IPG CarMaker Vehicle Model for Driving Dynamics Evaluation Implementation of the Driving Scenario

Parameterized MF 5.2 Suspension Elements Kin./ Elakin. (.skc) Pfeffer Steering

0,0 0,2 0,4 0,6

  • 15,0
  • 5,0

5,0 15,0

Aerodynamic Coeff. 5-Mass Model With Rigid Body

  • 30
  • 20
  • 10

10 20 30 500 1000 1500 2000 Force-distance-graph damper

  • 1.5
  • 1
  • 0.5

0.5 1 1.5 500 1000 1500 2000 Force-velocity-graph damper

Enhanced Damper- Topmount-Model

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SLIDE 13
  • Scenario

Driving on Autobahn with road impact, e.g. bumps, bridge joints and road unevenness

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Transferring On-Road Scenario to Virtual Reality Implementation of the Driving Scenario

Focus on: Exact reproduction of vehicle’s body motion Subjective driving impression comparable to reality

Autobahn Test Run VR in the Simulator

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Superposition of synthetic road spectrum and impulses on vehicle body

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Structure of Excitation Implementation of the Driving Scenario

10

  • 2

10 10

2

10

4

10

  • 20

10

  • 10

10 Frequency [Hz] Heave (f) [m²/Hz] Heave Motion CG

Synthetic Road Spectrum Excitation Measured Vehicle’s Motion after Vertical Impact

𝐺

𝑦

𝐺

𝑧

𝐺

𝑨

CG Forces and Moments Referred to CG

𝑏𝑦 𝑏𝑧 𝑏𝑨 𝜒 𝜘 𝜚 𝑁𝑦 𝑁𝑧 𝑁𝑨

1000 2000 3000 4000 5000

  • 0.1
  • 0.05

0.05 0.1 Length [m] Heave [m]

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Human’s Perception of Vehicle Motion

IV.

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Using defined excitation to generate criteria of perception:

  • General statements about the “Threshold of Perception” regarding to the

Autobahn scenario

  • Evaluating the “Just Noticeable Difference” due to impulses

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“Threshold of Perception” and the “Just Noticeable Difference” Human’s Perception of Vehicle Motion

Driver Virtual Vehicle Model Excitation

Threshold of Perception Noticeable Difference

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  • Experimental measuring of detected impulses
  • Correlation between the intensity of impulses and the stochastic road

excitation

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Driver’s Task to Evaluate the Threshold of Perception (ToP) Human’s Perception of Vehicle Motion

ToP

200 205 210 215 220 225 230

  • 5
  • 4
  • 3
  • 2
  • 1

1 2 3 4 5 Time [s] Vertical Acc. [m/s²]

0.2 0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 RMS of Vertical Excitation [m/s²] Amplitude Impulse [m/s²] Correlation - Impulse - Excitation

Body Acc. in m/s² Time in s RMS Vertical Road Excitation AMP Impulse Correlation AMP / RMS

𝑏𝐽𝑛𝑞 = 𝒒 ∗ 𝑏𝑠𝑝𝑏𝑒 + 𝒓

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SLIDE 18

Linear correlation between impulse amplitudes and RMS of vehicle’s vertical acceleration due to road disturbances.

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Results of the ToP Human’s Perception of Vehicle Motion

0.2 0.4 0.6 0.8 1 1 2 3 4 5 0.2 0.4 0.6 0.8 1 .1 .2 .3 .4 .5 .6 .7 0.2 0.4 0.6 0.8 1 .5 1 .5 2 .5 Threshold of Perception 0.2 0.4 0.6 0.8 1 1 2 3 4 5 0.2 0.4 0.6 0.8 1 .1 .2 .3 .4 .5 .6 .7 0.2 0.4 0.6 0.8 1 .5 1 .5 2 .5 Threshold of Perception

0.2 0.4 0.6 0.8 1 1 2 3 4 5 RMS of vehicle`s vertical acc. due to road disturbance in m/s² Amplitude of Vertical impacts in m/s² Threshold of Perception

  • detected
  • non-detected

Separation of Vehicle Motion

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SLIDE 19
  • Experimental measuring of three impulses in a row (3AFC-Method)
  • Probability of detecting a difference between two impulses

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Driver’s Task to Evaluate the Just Noticeable Difference (JND) Human’s Perception of Vehicle Motion

JND

0.5 1 1.5 2 2.5 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

540 541 542 543 544 545 546 547 548 549 550

  • 2
  • 1.5
  • 1
  • 0.5

0.5 1 1.5 2

Body Acc. in m/s² Time in s AMP Impulse Probability in % Psychometric Function

𝑄(𝑦) = 1 1 + 𝑓

𝑦−𝒅𝒕 𝒃𝒕

1st 2nd 3rd

𝒃𝒕 = JND 𝒅𝒕 = x(P50%)

> <

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SLIDE 20

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Results of the JND Human’s Perception of Vehicle Motion

  • Fitting the psychometric function based on the probability of perceived

impulses

  • Calculation the JND by evaluating the impulse intensity at the probability
  • f 50% and 75%

0.5 1 1.5 2 2.5 0.2 0.4 0.6 0.8 1 Relative Stimulus Intensity Probability of Perception in 100% Psychometric Function - Vertical Dynamics Impulse

50% JND

* measured impulse

  • Fitted sigmoid fun.

75%

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Evaluation of Chassis Components

V.

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Comparison of Vehicle Variants by the Perception of Road Impacts Evaluation of Chassis Components

ToP and JND of vertical impulses

60 62 64 66

  • 4
  • 3
  • 2
  • 1

1 2 3 4 Time in s Body Acc.z in m/s2 60 62 64 66

  • 4
  • 3
  • 2
  • 1

1 2 3 4 Time in s Body Acc.z in m/s2 Threshold of Perception

Perceptible as impulse

  • Vehicle 1 (orig.)
  • Vehicle 1
  • + 20 % Stiffness
  • + 20 % Damping
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SLIDE 23

9/21/2016 University of Stuttgart 23

Comparison of Vehicle Variants by the Perception of Road Impacts Evaluation of Chassis Components

ToP and JND of vertical impulses

60 62 64 66

  • 4
  • 3
  • 2
  • 1

1 2 3 4 Time in s Body Acc.z in m/s2 60 62 64 66

  • 4
  • 3
  • 2
  • 1

1 2 3 4 Time in s Body Acc.z in m/s2 61.75 61.8 61.85 61.9 61.95 1.7 1.8 1.9 2 Time in s Body Acc.z in m/s

2

Noticeable as difference

> JND

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SLIDE 24

Summary

VI.

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  • Improved system understanding by subjective evaluation of driving

dynamics in early stages of the development process.

  • Thresholds of perceptions can be used to evaluate driving dynamics

topics to get additional objective data and better correlations.

  • Compared to real on-road tests new approaches and analysis can be

implemented.

  • With this simulation environment the evaluation of driving dynamics can

be more experienced.

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Summary

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Thank you!

e-mail phone +49 (0) 711 685- fax +49 (0) 711 685- University of Stuttgart Pfaffenwaldring 12 D-70569 Stuttgart Dipl.-Ing. Minh-Tri Nguyen 65889 65710 IVK – Institute of Internal Combustion Engines and Automotive Engineering Minh-Tri.Nguyen@ivk.uni-stuttgart.de