Ride quality objective evaluation of heavy commercial vehicles
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1 Ride quality objective evaluation of heavy commercial vehicles PRESENTING AUTHOR M. Caudano CENTRO RICERCHE FIAT, Vehicle Dynamics CO-AUTHORS E. Esposto - IVECO, Innovation D. Gostoli, M. Mossino - IVECO, Quality Evaluation I. Giovannini, L. Zunino - IVECO, Testing S. Data, P.Brizio - CRF, Vehicle Dynamics F. Bandera - CRF, Product Quality Stuttgart, June 16th 2009
2 INDEX 1. Main goals 2. Background and Project Plan 3. Subjective Evaluation 4. Objective Evaluation 5. Ride Quality Index 6. Conclusions and Next steps Stuttgart, June 16th 2009 Ride Quality Index HCV 2
3 INDEX 1. Main goals 2. Background and Project Plan 3. Subjective Evaluation 4. Objective Evaluation 5. Ride Quality Index 6. Conclusions and Next steps Stuttgart, June 16th 2009 Ride Quality Index HCV 3
4 Main goals Definition of a Ride Perceived Quality Index Definition of Vehicle Technical Specifications for Target Setting and then.. Objective Ride Methodology definition Subjective Ride Methodology tuning (Customer Perceived) Stuttgart, June 16th 2009 Ride Quality Index HCV 4
5 INDEX 1. Main goals 2. Background and Project Plan 3. Subjective Evaluation 4. Objective Evaluation 5. Ride Quality Index 6. Conclusions and Next steps Stuttgart, June 16th 2009 Ride Quality Index HCV 5
6 Background and Project Plan Ride Objective Evaluation in Fiat Group From the beginning of the 90s a Vibration Perceived Quality Index has been established in Fiat Group Automobiles Now the same approach has been transferred towards Heavy Trucks Stuttgart, June 16th 2009 Ride Quality Index HCV 6
7 Background and Project Plan QUALITY INDEX APPLIED PROCEDURE SUBJECTIVE ANALYSIS Test Mission Definition OBJECTIVE ANALYSIS Questionnaire definition Statistical spread analysis (outlier judges, not significant aspects) Partial rating determination Sensor setup and measures Objective parameters computation Correlation analysis (partial rating influence on the global one) Objective Parameters selection on basis of correlation analysis (statistical + technical analysis) Partial Index definition (multi-linear regression models) Partial quantities weight fine tuning on Global OVERALL RIDE QUALITY INDEX Stuttgart, June 16th 2009 Ride Quality Index HCV 7
8 Background and Project Plan REFERENCE VEHICLES 5 vehicles (balance between significant statistic sample and test timing/resources) Test Configuration: Full Load since these vehicles are mainly used in this way Test vehicles remarkably different to assure best subjective perception distinction (among Worst and Best in Class). Therefore, test vehicles NOT defined with performance benchmarking criteria BUT to assure the best evaluation of Ride differences to define the quality index. TEST TRACK: Subjective Objective La Mandria/Balocco La Mandria/Balocco Stuttgart, June 16th 2009 Ride Quality Index HCV 8
9 INDEX 1. Main goals 2. Background and Project Plan 3. Subjective Evaluation 4. Objective Evaluation 5. Ride Quality Index 6. Conclusions and Next steps Stuttgart, June 16th 2009 Ride Quality Index HCV 9
10 Subjective evaluation Questionnaire definition and Jury Selection Floor Seat Cushion Vibration at Idle Seat back Steering Wheel Floor Jury Selection 15 Drivers Professional drivers Selected from IVECO and external companies Vibration on Highway Seat Cushion Seat back Vibration Quality Vibration on Rough Roads Vibration on obstacle Steering Wheel Floor Seat Cushion Seat back Steering Wheel Cab motions Floor Seat Cushion Seat back Steering Wheel Cab motions Stuttgart, June 16th 2009 Ride Quality Index HCV 10
11 Subjective evaluation Statistical spread analysis Search of outlier judges Search of more meaningful aspects Driver with different average votes Drivers who do not use the full scale range More meaningful aspects Judges could not evaluate only 1 aspect: steering wheel vibration on pavè Stuttgart, June 16th 2009 Ride Quality Index HCV 11
12 Subjective evaluation Partial rating example: Seat Cushion vibration on Rough Road Evaluation of vibration perceived at the seat cushion on a rough road. A certain overlapping between statistical groups is observed. Vehicle A Vehicle B Vehicle C Vehicle D Vehicle E Stuttgart, June 16th 2009 Ride Quality Index HCV 12
13 Subjective evaluation Ride Global Evaluation and influence of partial ratings Global Rating Weights of the partial aspects Interfaces on Rough Road Int 2 4% Int4: Seat 19% Vehicle A Vehicle B Vehicle C Vehicle D Vehicle E Int 3 55% Int 1 22% Missions on global Mission 2 9% A principal component analysis has been applied for the identification of the main clusters in subjective perception. Mission 3 64% Mis 1 (Rough Roads, Obst.) 27% Stuttgart, June 16th 2009 Ride Quality Index HCV 13
14 INDEX 1. Main goals 2. Background and Project Plan 3. Subjective Evaluation 4. Objective Evaluation 5. Ride Quality Index 6. Conclusions and Next steps Stuttgart, June 16th 2009 Ride Quality Index HCV 14
15 Objective evaluation Vehicle setup Test procedure Post-processing and Example of some results Measured variables for quality index are: TRIAXIAL ACCELERATION AT THE SEAT CUSHION TRIAXIAL ACCELERATION UNDER THE SEAT (CAB SIDE) VERTICAL ACCELERATION AT THE SEAT GUIDE VERTICAL ACCELERATION AT THE FLOOR TRIAXIAL ACCELERATION AT THE STEERING WHEEL TOTAL: 11 channels + vehicle speed Stuttgart, June 16th 2009 Ride Quality Index HCV 15
16 Objective evaluation Vehicle setup Test procedure Post-processing and Example of some results Seat Guide vertical Acceleration Vehicle A Vehicle B Ride road tests: Highway Rough Roads (both asphalt and paved) Rectangular obstacle Idle g Hz g s Stuttgart, June 16th 2009 Ride Quality Index HCV 16
17 Objective evaluation Vehicle setup Test procedure Post-processing and synthesis Filtering ISO 2631 CO040ZSG12!.FFF LA MANDRIA - Comfort Accel. vert. guida sedile SX SEDILE CO040ZSG12!.FFT LA MANDRIA - Comfort Accel. vert. guida sedile SX SEDILE Filtered data Raw data 0.03 Main calculated parameters Random Roads & Idle Obstacle: RMS in time domain RMS in a frequency band RMS from spectra filtered ISO 2631 Range RMS RMS difference (between impact and stationary) Dissipation Time g Hz Dissipation Time Stuttgart, June 16th 2009 Ride Quality Index HCV 17
18 INDEX 1. Main goals 2. Background and Project Plan 3. Subjective Evaluation 4. Objective Evaluation 5. Ride Quality Index 6. Conclusions and Next steps Stuttgart, June 16th 2009 Ride Quality Index HCV 18
19 Ride Quality Index The process for Index identification 1 1: Partial index Subjective evaluations are correlated with measured parameters. 2 2: Global quality index Starting from the weights of partial aspects on global determined from subjective evaluation, a refinement is done in order to compensate the aspect not yet covered by partial objective indexes. Stuttgart, June 16th 2009 Ride Quality Index HCV 19
20 Ride Quality Index Partial ratings: Correlation with Subjective Evaluations Seat vibration on rough road Index = A + B * Param1 + C * Param2 Estimated subjective evaluation R 2 =0.78 RMSE=0.43 Vehicle B Vehicle C Vehicle A Vehicle D Vehicle E Parameters: Param1: RMS of vertical vibration at seat guide ISO 2631 filtered Param2: RMS of longitudinal vibration at cushion Param2 20% Subjective evaluation Param1 80% Stuttgart, June 16th 2009 Ride Quality Index HCV 20
21 Ride Quality Index Global Ride rating: Correlation & Composition 4 R 2 =0.80 Vehicle A Subjective global Ride evaluation RMSE=0.67 Vehicle C Vehicle E Vehicle D Vehicle B Predicted global Ride Perceived Quality Stuttgart, June 16th 2009 Ride Quality Index HCV 21
22 INDEX 1. Main goals 2. Background and Project Plan 3. Subjective Evaluation 4. Objective Evaluation 5. Ride Quality Index 6. Conclusions and Next steps Stuttgart, June 16th 2009 Ride Quality Index HCV 22
23 Conclusions and Next steps A methodology for objective Ride assessment of HCV was developed TECHNICAL TARGET SETTING USING PERCEIVED QUALITY INDEX OBJECTIVE EVALUATION OF PROJECT SOLUTIONS/PROTOTYPES TARGET DEPLOYMENT REVIEW/IMPROVEMENT Next steps: further methodology development DEPLOYMENT TO SUBSYSTEMS AND COMPONENTS - PROCEDURES & STANDARDS TARGET VIRTUAL VERIFICATION USING SIMULATION MODELS EXTENSION TO OTHER VEHICLE PERFORMANCES Stuttgart, June 16th 2009 Ride Quality Index HCV 23
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