主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

汽车实用技术 ›› 2024, Vol. 49 ›› Issue (13): 1-5.DOI: 10.16638/j.cnki.1671-7988.2024.013.001

• 新能源汽车 •    下一篇

电动汽车复合 ABS 控制策略仿真及参数分析

张坤恒 1,林 辉 1,潘海涛 2,王元喜 3   

  1. 1.沈阳理工大学 汽车与交通学院;2.潍坊轲控新能源科技有限公司;3.海信冰箱(山东)有限公司
  • 发布日期:2024-07-10
  • 通讯作者: 张坤恒
  • 作者简介:张坤恒(2000-),男,硕士研究生,研究方向为新能源汽车能量管理,E-mail:2845495855@qq.com。

Simulation and Parametric Analysis on Composite ABS Control Strategy for Electric Vehicle

ZHANG Kunheng1 , LIN Hui1 , PAN Haitao2 , WANG Yuanxi3   

  1. 1.School of Automobile and Transportation, Shenyang Ligong University; 2.Weifang Kekong New Energy Company Limited; 3.Hisense (Shandong) Refrigerator Company Limited
  • Published:2024-07-10
  • Contact: 张坤恒

摘要: 为了提高电动汽车在制动过程中的稳定性和安全性,提出了一种电动汽车复合防抱死 制动系统(ABS)的控制策略,首先利用 AMESim 软件建立了电动汽车的仿真模型,并在 Simulink 中采用模糊逻辑控制的方法设计了具有四个独立通道的 ABS 控制方法,最后在低路 面摩擦系数条件下进行仿真。仿真结果表明,所建立的联合仿真模型及其控制方法能够较好 地模拟 ABS 制动的实际过程,保证车轮转速与车速保持较好的同步,可以提高电动汽车的转 向性和稳定性。模型参数可调,因此可对不同参数对 ABS 效果的影响进行研究,该仿真模型 可作为电动汽车 ABS 研究的良好平台。

关键词: 复合 ABS;模糊逻辑控制;AMESim

Abstract: In order to improve the stability and safety of electric vehicle during braking, a control strategy for electric vehicle with composite anti-lock brake system (ABS) is proposed. Firstly, a simulation model of electric vehicle is established using AMESim software, and an ABS control method with four independent channels is designed using fuzzy logic control method in Simulink. Finally, the simulation is carried out under the condition of low friction coefficient of road surface. The simulation results show that the established co-simulation model and its control method can simulate the actual process of ABS braking well, ensure the wheel speed and speed keep good synchronization, and improve the steering and stability of electric vehicle. The model parameters can be adjusted, so the influence of different parameters on the ABS effect can be studied, and the simulation model can be used as a good platform for the research of electric vehicle ABS.

Key words: Composite ABS; Fuzzy logic control; AMESim