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Dynamic Rollover Prediction of Heavy Vehicles Considering Critical Frequency

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Abstract

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 effect on the dynamic rollover of heavy vehicles.

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Abbreviations

COG:

Center of gravity

LTR:

Lateral load transfer ratio

TTR:

Time to rollover

ZMP:

Zero-moment point

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Acknowledgements

This project is supported by the National Natural Science Foundation of China (NSFC) under Grant 51905483.

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Authors and Affiliations

  1. College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, 310023, China

    Zhansheng Ye, Weidong Xie, Yuming Yin & Zhijun Fu

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  1. Zhansheng Ye
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  2. Weidong Xie
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  3. Yuming Yin
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Correspondence to Yuming Yin.

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On behalf of all authors, the corresponding authors state that there are no conflicts of interest.

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Ye, Z., Xie, W., Yin, Y. et al. Dynamic Rollover Prediction of Heavy Vehicles Considering Critical Frequency. Automot. Innov. 3, 158–168 (2020). https://doi.org/10.1007/s42154-020-00099-w

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