A Novel Dynamic Rollover Threshold Model of Top-heavy Vehicle

Heng WEI, You-lin ZHANG, Ren-sheng LIU, Gao-qiang PAN

Abstract


This paper is aimed to propose an improved novel dynamic rollover threshold of vehicles, based on lateral load transfer ratio (LTR), which lays the foundation of rollover prediction system. The study is carried out by building a vehicle rollover model, which takes into account the characteristics of suspension and limit equilibrium of tires’ lifting-off to dynamically indicate the vehicle rolling status. Moreover, a real-time rollover warning platform is designed, on which we have compared our generalized threshold with other two commonly used thresholds. Furthermore, these thresholds in rollover are verified by a top-heavy vehicle simulation model. Results show that the novel dynamic rollover threshold can predict the impending rollover more dynamically and accurately.

Keywords


Rollover, Lateral load transfer ratio (LTR), Dynamic rollover threshold (DRT), Rollover model, Top-heavy vehicle


DOI
10.12783/dtetr/amee2018/25297

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