In order to improve the handling stability of a vehicle, an optimization method of vehicle handling stability based on D-optimal test design was proposed in this paper. The multibody dynamic model was established and verified by experiments. On this basis, a response surface model was established based on D-optimal test design. An improved genetic-particle swarm algorithm was used to optimize the vehicle handling stability. The general evaluation score of vehicle handling stability was taken as the optimization objective. The vehicle structural parameters, tire and spring characteristics were regarded as design variables. The results showed that the multi-body dynamic model was accurate. After optimization, the general evaluation score of vehicle handling stability increased by 8.98 %; the score of the steering returnability and steady static circular test was increased by 20.43 % and 27.31 %, respectively. Then from the sensitivity of the optimization variables to the stability of the vehicle's handling, the rear wheel lateral stiffness has the greatest impact on it, with a sensitivity of 86.9 %; the wheelbase has the smallest impact on it, with a sensitivity of -3.39 %, which can be reduced in future optimization variable to improve design efficiency.
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This research was funded by the National Natural Science Foundation of China, grant number 51975341, 51875326, 51905319 and the National Key Research and Development Project, China under Grant 2017YFB0102004, and the Shandong Provincial Natural Science Foundation, China under Grant ZR2019MEE049.
Recommended by Editor No-cheol Park
Bo Li received his Ph.D. degree in 2014 from Nanjing University of Science and Technology. He is currently a Professor in Shandong University of Technology. His main research interests include modelling, analysis and control of automatic machincal transmission systems.
Wenqing Ge received his Ph.D. degree in 2013 from Nanjing University of Science and Technology. He is currently a Professor in Shandong University of Technology. His main research interests include modelling, analysis and control of automotive mechatronic systems.
Dechuan Liu received the B.E. degree from the Shandong University of Technology, where he is currently pursuing the M.S. degree. His current research interests include analysis of vehicle handling stability.
Cao Tan received his B.S. and Ph.D. degrees in 2013 and 2018 from Nanjing University of Science and Technology. His main research interests include modelling, analysis and control of automotive mechatronic systems.
Binbin Sun received his B.S., M.S. and Ph.D. degrees in 2010, 2013 and 2017 from Jiangsu University, Nanjing University of Science and Technology and Shandong University of Technology, respectively. His main research interests include modelling, analysis and control of automotive.
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Li, B., Ge, W., Liu, D. et al. Optimization method of vehicle handling stability based on response surface model with D-optimal test design. J Mech Sci Technol 34, 2267–2276 (2020). https://doi.org/10.1007/s12206-020-0502-z
- D-optimal test design
- Optimization method
- Response surface model
- Vehicle handling stability