Study of the Vehicle Controllability and Stability Based on Multi-body System Dynamics

Lin Hu*, 1, 2, Shengyong Fang2, 3, Jia Yang2, 3
1 Key Laboratory of Highway Engineering (Changsha University of Science & Technology), Ministry of Education, Changsha 410114, China
2 School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, China
3 Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Changsha University of Science and Technology, Changsha 410114, China

© 2014 Hu and Fang

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: ( This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


In this paper, the 135 Degree of Freedom multi-body system dynamics model was built by using the software ADAMS/CAR, according to the requests of Chinese standards, and the simulating research about 6 performances of automotive controllability and stability were carried on. Based on the simulating results, some automobile’s performance, such as return-ability, slalom-ability and steering efforts-ability, were excellent, but some other performances, such as steady state cornering ability, steering wheel angle pulse input response ability and steering wheel angle step input response ability, were not satisfied. In order to improve the performance of the automobile, three parameters, i.e. the automotive mass, the load of front axis and the torsion stiffness of rear stabilizer anti-roll bar, were selected as the optimized objects. Within the variety range of the parameters, the multi-body system of the automobile was optimized. Automotive controllability and stability is improved obviously based on the simulating results of the optimized multibody system.

Keywords: Controllability and Stability, multi-body system dynamics, optimize.