An Improved Vehicle Rollover Prediction Algorithm

Author(s):  
Xiaoping Shi ◽  
Juan Bao
2019 ◽  
Vol 11 (1) ◽  
pp. 168781401882121 ◽  
Author(s):  
Bo Li ◽  
Shaoyi Bei

In this article, a novel rollover prediction algorithm is developed for application on vehicles with large lateral velocity and high center of gravity. Lateral energy is the direct cause of rollover. Rollover prediction model is proposed by taking full account of the impact of the pavement, tire, and suspension and realizes the estimation of the vehicle lateral energy. By calculating the ratio of real-time lateral energy reserve and rollover threshold, the degree of rollover risk is obtained. The double-shift experiment and the Fishhook experiment are performed to verify the accuracy and suitability of the proposed model, and the proposed prediction is 0.2 s ahead of the actual liftoff situation and 0.45 s ahead of the actual rollover situation; therefore, the proposed rollover model can be regarded as an effective method.


2010 ◽  
Vol 439-440 ◽  
pp. 854-858
Author(s):  
Tian Jun Zhu ◽  
Chang Fu Zong

This paper presents the parameter identification technology of heavy commercial vehicle rollover prediction. In this study, a nonlinear truck model has been established for the rollover threat prediction. In order to achieve valid and representative truck model as close to the target real truck as possible, a set of key parameters are identified from experiment data collected from real truck ground test. At the last, the vehicle prediction model simulation results compared with the experimental results, it is shown that the prediction model can be accurately predicted the rollover dangerous state.


2016 ◽  
Vol 89 ◽  
pp. 270-283 ◽  
Author(s):  
Yu Guizhen ◽  
Li Honggang ◽  
Wang Pengcheng ◽  
Wu Xinkai ◽  
Wang Yunpeng

2017 ◽  
Vol 55 (11) ◽  
pp. 1748-1763 ◽  
Author(s):  
Xinjie Zhang ◽  
Yi Yang ◽  
Konghui Guo ◽  
Jiming Lv ◽  
Tao Peng

2014 ◽  
Vol 590 ◽  
pp. 437-441
Author(s):  
Yi Hua Chen ◽  
Jian Kang Xu ◽  
Jian Guo Mao ◽  
Zhi Lin Jin

In this paper, a TTR vehicle rollover predication algorithm is calculated. A vehicle rollover predication model is built. Also, a vehicle rollover predication warning system is designed by using TMS320LF2407 DSP, and the warning predication theory is introduced. The results show that the rollover prediction model can predicate rollover occur time effectively and the TTR rollover predication method can be used to give direction to the driver.


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