Research on rollover warning time of independent drive heavy vehicle based on closed-form method

Accurate and real-time rollover warning system provides an appropriate opening and closing opportunity for vehicle anti-rollover control system. To balance algorithmic complexity, warning accuracy, and real-time performance, a closed-form time-to-rollover prediction method, referred to as the CF-TTR method, is proposed. By algebraically eliminating intermediate dynamic variables, the proposed method directly expresses the predicted time to rollover in a closed mathematical form, avoiding the iterative calculation of numerical methods and improving the real-time performance of the algorithm. In the two classic rollover conditions of heavy vehicle tripped and untripped, the simulation analysis shows that the proposed CF-TTR method rollover warning algorithm is 0.58s earlier than the traditional algorithm warning time, and the optimisation is 15.93%. The HIL test shows that the stability of the vehicle anti-rollover control process is improved by 28.57% after the integration of the rollover warning algorithm.

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Publication Details

Journal
Figshare
Published
2026-11-06
DOI
https://doi.org/10.6084/m9.figshare.34932934
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on rollover warning time of independent drive heavy vehicle based on closed-form method

Junning Zhang, Lufeng Zheng, Yongjie Lu, Yanhu Li et al.
Figshare
Vehicle Dynamics and Control Systems
article

Research on rollover warning time of independent drive heavy vehicle based on closed-form method

Junning Zhang, Lufeng Zheng, Yongjie Lu, Yanhu Li, Haoyu Li
article en

Abstract

Accurate and real-time rollover warning system provides an appropriate opening and closing opportunity for vehicle anti-rollover control system. To balance algorithmic complexity, warning accuracy, and real-time performance, a closed-form time-to-rollover prediction method, referred to as the CF-TTR method, is proposed. By algebraically eliminating intermediate dynamic variables, the proposed method directly expresses the predicted time to rollover in a closed mathematical form, avoiding the iterative calculation of numerical methods and improving the real-time performance of the algorithm. In the two classic rollover conditions of heavy vehicle tripped and untripped, the simulation analysis shows that the proposed CF-TTR method rollover warning algorithm is 0.58s earlier than the traditional algorithm warning time, and the optimisation is 15.93%. The HIL test shows that the stability of the vehicle anti-rollover control process is improved by 28.57% after the integration of the rollover warning algorithm.

Figshare
Openalex Percentile: Top 24%
Vehicle Dynamics and Control Systems
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