TY - GEN
T1 - Collaborative Optimization of Vehicle Chassis Integration System
AU - Wang, Chenyu
AU - Chen, Xiaokai
AU - Shi, Guobiao
AU - Yang, Zifa
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/13
Y1 - 2021/5/13
N2 - In this paper, the integrated design problem of the vehicle dynamics model and the suspension kinematics model was incorporated into the multidisciplinary design optimization framework to fully explore their coupling relationship, and the improved collaborative optimization method was proposed to speed up the convergence. A seven-degree-of-freedom mathematical model of the integrated electric power steering system and a physical model of the front suspension were established to fully explore the coupling relationship. Based on the idea of collaborative optimization, approximation modeling technology and traditional All-In-One method were used to perform a priori calculation, which was used as the initial plan of collaborative optimization method to accelerate calculation efficiency. The optimization results show that not only the driving comfort is better improved, but also the fluctuation range of the front wheel positioning parameters is reduced, and the steering is lighter under the condition of ensuring the road feel.
AB - In this paper, the integrated design problem of the vehicle dynamics model and the suspension kinematics model was incorporated into the multidisciplinary design optimization framework to fully explore their coupling relationship, and the improved collaborative optimization method was proposed to speed up the convergence. A seven-degree-of-freedom mathematical model of the integrated electric power steering system and a physical model of the front suspension were established to fully explore the coupling relationship. Based on the idea of collaborative optimization, approximation modeling technology and traditional All-In-One method were used to perform a priori calculation, which was used as the initial plan of collaborative optimization method to accelerate calculation efficiency. The optimization results show that not only the driving comfort is better improved, but also the fluctuation range of the front wheel positioning parameters is reduced, and the steering is lighter under the condition of ensuring the road feel.
KW - Collaborative optimization
KW - Integrated system
KW - Multi-objective optimization
KW - Vehicle dynamics
UR - http://www.scopus.com/inward/record.url?scp=85111021785&partnerID=8YFLogxK
U2 - 10.1109/ICMIMT52186.2021.9476160
DO - 10.1109/ICMIMT52186.2021.9476160
M3 - Conference contribution
AN - SCOPUS:85111021785
T3 - Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
SP - 85
EP - 90
BT - Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
Y2 - 13 May 2021 through 15 May 2021
ER -