rollover prediction
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2020 ◽  
Vol 3 (2) ◽  
pp. 158-168
Author(s):  
Zhansheng Ye ◽  
Weidong Xie ◽  
Yuming Yin ◽  
Zhijun Fu

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.


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

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

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.


2014 ◽  
Vol 64 (2/3/4) ◽  
pp. 280 ◽  
Author(s):  
Giorgio Previati ◽  
Massimiliano Gobbi ◽  
Giampiero Mastinu

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