电动汽车复合制动防抱死系统研究

陈综合; 陈庆樟; 王正义; 王康

doi:10.13433/j.cnki.1003-8728.2018.0712

电动汽车复合制动防抱死系统研究

doi: 10.13433/j.cnki.1003-8728.2018.0712

陈综合^1,2,
陈庆樟^1, ,,
王正义¹,
王康¹

1.
常熟理工学院汽车工程学院, 江苏常熟 215500;
2.
中国矿业大学机电工程学院, 江苏徐州 221000

基金项目:

江苏省自然科学基金项目（BK20151259）、苏州市科技计划工业应用基础指导项目（SGZ2014019）及常熟市科技计划工业基础项目（CQ201407）资助

详细信息

作者简介:
陈综合(1990-),硕士研究生,研究方向为汽车机电一体化,zonehechen@163.com

通讯作者:
陈庆樟,教授,博士,cqz@cslg.edu.cn

计量
- 文章访问数: 376
- HTML全文浏览量: 40
- PDF下载量: 12
- 被引次数: 0
出版历程
- 收稿日期: 2017-07-27
- 刊出日期: 2018-07-05

Study on Hybrid Anti-lock Braking System in Electric Vehicle

1.
School of Automotive Engineering, Changshu Institute of Technology, Jiangsu Changshu 215500, China;
2.
School of Mechatronic Engineering, China University of Mining and Technology, Jiangsu Xuzhou 221000, China

摘要

摘要: 为实现电动汽车制动防抱死控制，设计了电动汽车复合制动防抱死系统。首先建立了液压与电机制动防抱死模型；然后根据路面附着系数大小设计出复合制动防抱死控制模式；最后基于模糊PID控制设计了复合制动防抱死系统。在MATLAB/Simulink环境下同时建立复合制动与液压制动防抱死仿真模型，进行对比分析，结果表明：在不同附着系数路面，复合制动均能够有效控制滑移率，缩短制动时间和距离，回收制动能量；在对接路面，复合制动的控制效果更加理想，系统反应迅速、鲁棒性好。
- 复合制动 /
- 路面附着系数 /
- 防抱死 /
- 模糊PID控制
Abstract: In order to achieve anti-lock control of electric vehicle, a hybrid anti-lock braking system in electric vehicle is presented. Firstly, the models for hydraulic and motor anti-lock braking are established; secondly the hybrid anti-lock braking control mode is designed, according to the size of tire-road adhesion coefficient; finally, the hybrid anti-lock braking system is designed, based on the fuzzy-PID control. The simulation models for hybrid and hydraulic anti-lock braking are built simultaneously in MATLAB/Simulink in order to make comparative analysis, and the result shows that:on the different adhesion coefficient road, the hybrid braking can effectively control the slip ratio, shorten the braking time and distance, and recover the braking energy; on the joint-adhesion road, the hybrid braking can achieve an ideal control effect, and the system has rapid response and good robustness.
- hybrid braking /
- tire-road adhesion coefficient /
- anti-lock /
- fuzzy-PID control

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参考文献(18)

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