Performance Optimization of a Formula Student Racing Car Using the IPG CarMaker, Part 1: Lap Time Convergence and Sensitivity Analysis
It is increasingly common for simulation and AI tools to aid in the vehicle design process. The IPG CarMaker uses a multibody vehicle model and a learning algorithm for the virtual driver. The goal is to discover the behavior of the learning algorithm from the point of view of reliability and conver...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/79/1/86 |
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| author | Dominik Takács Ambrus Zelei |
| author_facet | Dominik Takács Ambrus Zelei |
| author_sort | Dominik Takács |
| collection | DOAJ |
| description | It is increasingly common for simulation and AI tools to aid in the vehicle design process. The IPG CarMaker uses a multibody vehicle model and a learning algorithm for the virtual driver. The goal is to discover the behavior of the learning algorithm from the point of view of reliability and convergence. Simulations demonstrate that the lap time converges reliably. We also report that small changes in the vehicle parameters induce small changes in the simulated lap time, i.e., the lap time is a differentiable function of the vehicle parameters. Part 2 of this paper explains the aerodynamics and Drag Reduction System optimization. |
| format | Article |
| id | doaj-art-fe3ea36de9b84a69bb052461e02c337c |
| institution | Kabale University |
| issn | 2673-4591 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-fe3ea36de9b84a69bb052461e02c337c2024-12-27T14:24:42ZengMDPI AGEngineering Proceedings2673-45912024-11-017918610.3390/engproc2024079086Performance Optimization of a Formula Student Racing Car Using the IPG CarMaker, Part 1: Lap Time Convergence and Sensitivity AnalysisDominik Takács0Ambrus Zelei1Department of Whole Vehicle Engineering, Audi Hungaria Faculty of Automotive Engineering, Széchenyi István University in Győr, 9026 Győr, HungaryDepartment of Whole Vehicle Engineering, Audi Hungaria Faculty of Automotive Engineering, Széchenyi István University in Győr, 9026 Győr, HungaryIt is increasingly common for simulation and AI tools to aid in the vehicle design process. The IPG CarMaker uses a multibody vehicle model and a learning algorithm for the virtual driver. The goal is to discover the behavior of the learning algorithm from the point of view of reliability and convergence. Simulations demonstrate that the lap time converges reliably. We also report that small changes in the vehicle parameters induce small changes in the simulated lap time, i.e., the lap time is a differentiable function of the vehicle parameters. Part 2 of this paper explains the aerodynamics and Drag Reduction System optimization.https://www.mdpi.com/2673-4591/79/1/86lap time simulationoptimizationIPG CarMaker |
| spellingShingle | Dominik Takács Ambrus Zelei Performance Optimization of a Formula Student Racing Car Using the IPG CarMaker, Part 1: Lap Time Convergence and Sensitivity Analysis Engineering Proceedings lap time simulation optimization IPG CarMaker |
| title | Performance Optimization of a Formula Student Racing Car Using the IPG CarMaker, Part 1: Lap Time Convergence and Sensitivity Analysis |
| title_full | Performance Optimization of a Formula Student Racing Car Using the IPG CarMaker, Part 1: Lap Time Convergence and Sensitivity Analysis |
| title_fullStr | Performance Optimization of a Formula Student Racing Car Using the IPG CarMaker, Part 1: Lap Time Convergence and Sensitivity Analysis |
| title_full_unstemmed | Performance Optimization of a Formula Student Racing Car Using the IPG CarMaker, Part 1: Lap Time Convergence and Sensitivity Analysis |
| title_short | Performance Optimization of a Formula Student Racing Car Using the IPG CarMaker, Part 1: Lap Time Convergence and Sensitivity Analysis |
| title_sort | performance optimization of a formula student racing car using the ipg carmaker part 1 lap time convergence and sensitivity analysis |
| topic | lap time simulation optimization IPG CarMaker |
| url | https://www.mdpi.com/2673-4591/79/1/86 |
| work_keys_str_mv | AT dominiktakacs performanceoptimizationofaformulastudentracingcarusingtheipgcarmakerpart1laptimeconvergenceandsensitivityanalysis AT ambruszelei performanceoptimizationofaformulastudentracingcarusingtheipgcarmakerpart1laptimeconvergenceandsensitivityanalysis |