摘要
文中通过仿真研究探索了一种基于车轮滑移率的路面附着系数识别方法。首先讨论了有效估计驱动轮滑移率和利用附着系数的途径,然后在此基础上,提出了基于贝叶斯原理的路面附着系数估计迭代算法,并利用车辆动力学软件veDYNA对该算法进行仿真分析。结果表明,在滑移率大于代表不同路面的最小滑移率阈值的工况下,该方法能够快速、准确地捕获路面特征,满足汽车纵向安全辅助系统调整安全策略的需要。
A method of identifying road adhesion coefficient based on wheel slip ratio is investigated in this paper. Firstly the approaches of estimating the wheel slip ratio and utilization adhesion coefficient of drive wheel are discussed. Then based on these, a Bayes＇ theorem-based iteration algorithm for estimating road adhesion coefficient is proposed, on which a simulation analysis is performed using vehicle dynamics software veDYNA. The results show that when the slip ratio of drive wheel is larger than the minimum slip ratio threshold, which represents different road surfaces, the method can quickly and accurately capture the features of road surface, meeting the requirements of vehicle longitudinal safety assistant system in adjusting safety strategy.
出处
《汽车工程》
EI
CSCD
北大核心
2009年第3期239-243,共5页
Automotive Engineering
基金
汽车动态模拟国家重点实验室开放基金资助
关键词
路面附着系数
贝叶斯原理
汽车安全辅助系统
road adhesion coefficient
Bayes＇ theorem
vehicle safety assistant system
