Performance Prediction of a 4WD High-Performance Electric Vehicle Using a Model-Based Torque-Vectoring Approach
Electric vehicles (EVs) enable the integration of powertrains with multiple motors, allowing for the adjustment of torque delivered to each wheel. This approach permits the implementation of torque vectoring techniques (TV) to enhance the vehicle’s stability and cornering response, providing better...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
|
| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/14/7/183 |
| _version_ | 1797587170579447808 |
|---|---|
| author | Rafael Serralvo Neto Joao Bruno Palermo Renato Giacomini Michele Rodrigues Fabio Delatore Giovana Betoni Rossi Milene Galeti Rudolf Theoderich Bühler |
| author_facet | Rafael Serralvo Neto Joao Bruno Palermo Renato Giacomini Michele Rodrigues Fabio Delatore Giovana Betoni Rossi Milene Galeti Rudolf Theoderich Bühler |
| author_sort | Rafael Serralvo Neto |
| collection | DOAJ |
| description | Electric vehicles (EVs) enable the integration of powertrains with multiple motors, allowing for the adjustment of torque delivered to each wheel. This approach permits the implementation of torque vectoring techniques (TV) to enhance the vehicle’s stability and cornering response, providing better control of yaw moments. This study utilizes comprehensive telemetry data and an advanced simulator model to assess the influence of torque vectoring (TV) on a Formula SAE (Society of Automotive Engineers) competition vehicle. The telemetry data were collected from a fully instrumented 2WD car, which was then employed to calibrate the simulation model. The calibrated model was subsequently utilized to predict the performance enhancements that could be achieved by implementing a 4WD system. The methodology proved to be a valuable contribution to vehicle design development. This approach also helps evaluate the potential advantages of torque vectoring for drivers with limited experience. |
| first_indexed | 2024-03-11T00:33:21Z |
| format | Article |
| id | doaj.art-863aeb494364459cb833347a42d9c28b |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-11T00:33:21Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-863aeb494364459cb833347a42d9c28b2023-11-18T21:48:58ZengMDPI AGWorld Electric Vehicle Journal2032-66532023-07-0114718310.3390/wevj14070183Performance Prediction of a 4WD High-Performance Electric Vehicle Using a Model-Based Torque-Vectoring ApproachRafael Serralvo Neto0Joao Bruno Palermo1Renato Giacomini2Michele Rodrigues3Fabio Delatore4Giovana Betoni Rossi5Milene Galeti6Rudolf Theoderich Bühler7Electrical Department, Centro Universitário FEI, Campus São Bernardo do Campo, Asunción 09850-901, BrazilGiaffone Electric, São Paulo 12345-678, BrazilElectrical Department, Centro Universitário FEI, Campus São Bernardo do Campo, Asunción 09850-901, BrazilElectrical Department, Centro Universitário FEI, Campus São Bernardo do Campo, Asunción 09850-901, BrazilElectrical Department, Centro Universitário FEI, Campus São Bernardo do Campo, Asunción 09850-901, BrazilElectrical Department, Centro Universitário FEI, Campus São Bernardo do Campo, Asunción 09850-901, BrazilElectrical Department, Centro Universitário FEI, Campus São Bernardo do Campo, Asunción 09850-901, BrazilElectrical Department, Centro Universitário FEI, Campus São Bernardo do Campo, Asunción 09850-901, BrazilElectric vehicles (EVs) enable the integration of powertrains with multiple motors, allowing for the adjustment of torque delivered to each wheel. This approach permits the implementation of torque vectoring techniques (TV) to enhance the vehicle’s stability and cornering response, providing better control of yaw moments. This study utilizes comprehensive telemetry data and an advanced simulator model to assess the influence of torque vectoring (TV) on a Formula SAE (Society of Automotive Engineers) competition vehicle. The telemetry data were collected from a fully instrumented 2WD car, which was then employed to calibrate the simulation model. The calibrated model was subsequently utilized to predict the performance enhancements that could be achieved by implementing a 4WD system. The methodology proved to be a valuable contribution to vehicle design development. This approach also helps evaluate the potential advantages of torque vectoring for drivers with limited experience.https://www.mdpi.com/2032-6653/14/7/183electric vehicletorque vectoringmodelinglap time simulation |
| spellingShingle | Rafael Serralvo Neto Joao Bruno Palermo Renato Giacomini Michele Rodrigues Fabio Delatore Giovana Betoni Rossi Milene Galeti Rudolf Theoderich Bühler Performance Prediction of a 4WD High-Performance Electric Vehicle Using a Model-Based Torque-Vectoring Approach World Electric Vehicle Journal electric vehicle torque vectoring modeling lap time simulation |
| title | Performance Prediction of a 4WD High-Performance Electric Vehicle Using a Model-Based Torque-Vectoring Approach |
| title_full | Performance Prediction of a 4WD High-Performance Electric Vehicle Using a Model-Based Torque-Vectoring Approach |
| title_fullStr | Performance Prediction of a 4WD High-Performance Electric Vehicle Using a Model-Based Torque-Vectoring Approach |
| title_full_unstemmed | Performance Prediction of a 4WD High-Performance Electric Vehicle Using a Model-Based Torque-Vectoring Approach |
| title_short | Performance Prediction of a 4WD High-Performance Electric Vehicle Using a Model-Based Torque-Vectoring Approach |
| title_sort | performance prediction of a 4wd high performance electric vehicle using a model based torque vectoring approach |
| topic | electric vehicle torque vectoring modeling lap time simulation |
| url | https://www.mdpi.com/2032-6653/14/7/183 |
| work_keys_str_mv | AT rafaelserralvoneto performancepredictionofa4wdhighperformanceelectricvehicleusingamodelbasedtorquevectoringapproach AT joaobrunopalermo performancepredictionofa4wdhighperformanceelectricvehicleusingamodelbasedtorquevectoringapproach AT renatogiacomini performancepredictionofa4wdhighperformanceelectricvehicleusingamodelbasedtorquevectoringapproach AT michelerodrigues performancepredictionofa4wdhighperformanceelectricvehicleusingamodelbasedtorquevectoringapproach AT fabiodelatore performancepredictionofa4wdhighperformanceelectricvehicleusingamodelbasedtorquevectoringapproach AT giovanabetonirossi performancepredictionofa4wdhighperformanceelectricvehicleusingamodelbasedtorquevectoringapproach AT milenegaleti performancepredictionofa4wdhighperformanceelectricvehicleusingamodelbasedtorquevectoringapproach AT rudolftheoderichbuhler performancepredictionofa4wdhighperformanceelectricvehicleusingamodelbasedtorquevectoringapproach |