Automotive Innovation ›› 2020, Vol. 3 ›› Issue (2): 158-168.doi: 10.1007/s42154-020-00099-w
Dynamic Rollover Prediction of Heavy Vehicles Considering Critical Frequency
Zhansheng Ye, Weidong Xie, Yuming Yin & Zhijun Fu
- College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Dynamic Rollover Prediction of Heavy Vehicles Considering Critical Frequency
Zhansheng Ye, Weidong Xie, Yuming Yin & Zhijun Fu
- College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
摘要： Rollover of commercial heavy vehicles can cause enormous economic losses and fatalities. It is easier for such vehicles to
rollover if the driver’s steering frequency is close to the critical frequency of the vehicle’s roll motion; however, the critical
roll frequency has rarely been investigated. In this study, the second-order transfer function between the steering input and roll angle was developed to calculate the critical frequency of the vehicle’s roll motion. The simulated spectrum and transfer function were then used to dynamically predict the peak lateral load transfer ratio. Laboratory experiments were conducted using a scaled vehicle to verify the critical roll frequency. The results suggest that the peak value of the lateral load transfer ratio during steering can be accurately determined from the driver’s input, and the critical roll frequency has a dominant efect on the dynamic rollover of heavy vehicles.