• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2019, Vol. 55 ›› Issue (4): 109-117.doi: 10.3901/JME.2019.04.109

Previous Articles     Next Articles

Influences of Driver on Vehicle Rollover Stability and Anti-roll Control

JIN Zhilin1,2, YAN Zhenghua1, ZHAO Wanzhong1   

  1. 1. Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016;
    2. Key Laboratory of Advanced Manufacture Technology for Automobile Parts of Ministry of Education(Chongqing University of Technology), Chongqing 400054
  • Received:2018-03-16 Revised:2018-10-26 Online:2019-02-20 Published:2019-02-20

Abstract: Driver's operation is dominant factor in vehicle rollover accident. In order to explore the mechanism of vehicle rollover caused by driver's operation, the rollover stability of a driver-vehicle closed loop system is analyzed and the differential braking control strategy is put forward for vehicle rollover prevention. Taking the perception, decision-making and execution parts of the driver into consideration, a multiple degrees of freedom dynamic model of the driver-vehicle closed loop system is established. From the model, the laws of the vehicle rollover stability affected by the main parameters of the driver are discussed, including the driver's experience parameters, neuron delay time, and muscular delay time. Also, the anti rollover control strategy is presented using the PID differential braking method based on the dynamics of the driver-vehicle closed loop system and the electro hydraulic braking (EHB) device. Furthermore, some numerical simulations are given for a sport utility vehicle (SUV) rollover in typical cases. The results show that the parameters of the driver's experience and neuron delay time exert an important effect on vehicle rollover stability, and the proposed control strategy can effectively improve active safety for vehicle anti-rollover.

Key words: anti-roll control, driver-vehicle closed loop system, electro hydraulic brake, rollover stability

CLC Number: