基于车速及装载变化的纯电动客车操纵稳定性分析

游专1,2, 何仁1, 刘文光1, 张中帆3

江苏大学学报(自然科学版) ›› 2014, Vol. 35 ›› Issue (2) : 137-143.

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江苏大学学报(自然科学版) ›› 2014, Vol. 35 ›› Issue (2) : 137-143. DOI: 10.3969/j.issn.1671-7775.2014.02.003
论文

基于车速及装载变化的纯电动客车操纵稳定性分析

作者信息 +

Handling and stability of pure electric bus based on velocity and load ch

Author information +
文章历史 +

摘要

针对纯电动客车具有动力电池质量大、轴荷转移大等特点,建立了考虑车速及装载质量变化的纯电动客车弯道行驶的非线性动态解析模型.应用遗传算法仿真分析和实车试验相结合的方法,构造适应度函数,实现了对非线性立方轮胎模型的参数辨识.仿真结果表明:客车弯道制动初速度越高,减速度越大,瞬态响应越灵敏,操纵稳定性越差;随着装载质量的增加横摆角速度增益稳态值减小,转向响应灵敏性变差,侧倾角的稳态值增大,侧翻的可能性加大;与实车试验数据吻合程度高,采用遗传算法对客车操纵稳定性模型进行参数辨识具有很好的可行性和弯道行驶模型的准确性.

Abstract

Based on the characteristics of pure electric bus with heavy battery and great transferring axle load, the non-linear dynamic analytical model was established with considerations of driving velocity and load change under curve driving condition. The fitness function was constructed by computer simulation technology and experimentation design method. Genetic algorithm was proposed to realize the parameter identification of the non-linear cubic tire model. The simulation results show that the higher the initial velocity and deceleration in cornering with braking are, the transient response becomes more sensitive with worse handling and stability. With the increase of load, the steady value of yaw rate gain decreases with worse steering response and sensitivity, while the steady value of roll angle is increased with increased rollover possibility. The simulation results are consistent with the real vehicle test data, which illuminates the feasibility of parameter identification and the accuracy of the model.

关键词

纯电动客车 / 车速变化 / 装载变化 / 操纵稳定性 / 遗传算法 / 参数辨识

Key words

pure electric bus / velocity change / load change / handling and stability / genetic algorithm / parameter identification

引用本文

导出引用
游专, 何仁, 刘文光, . 基于车速及装载变化的纯电动客车操纵稳定性分析[J]. 江苏大学学报(自然科学版), 2014, 35(2): 137-143 https://doi.org/10.3969/j.issn.1671-7775.2014.02.003
YOU Zhuan, HE Ren, LIU Wen-Guang, et al. Handling and stability of pure electric bus based on velocity and load ch[J]. Journal of Jiangsu University(Natural Science Edition), 2014, 35(2): 137-143 https://doi.org/10.3969/j.issn.1671-7775.2014.02.003

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基金

江苏省自然科学基金资助项目(BK20131217); 江苏省汽车工程重点实验室开放基金资助项目(QC201003)

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