基于电机转矩的四轮驱动电动车稳定性控制

Feiqiang Li, Jun Wang, Zhao-Xin Liu
{"title":"基于电机转矩的四轮驱动电动车稳定性控制","authors":"Feiqiang Li, Jun Wang, Zhao-Xin Liu","doi":"10.1109/VPPC.2009.5289613","DOIUrl":null,"url":null,"abstract":"Motor torque based active yaw moment control law is investigated in this paper, based on which vehicle stability control algorithm for four-wheel-drive electric vehicle is proposed using fuzzy logic control method. As four motors are mounted in the four wheels individually to drive the vehicle, it has great advantage to use the advanced motion control technique to enhance vehicle stability. The four driving and braking forces can be controlled independently to generate active yaw moment. However it is more complex to allocate the desired yaw moment to over-actuators. So the control law for fuzzy logic control algorithm is designed based on the dynamic analysis of vehicle instability. The electric vehicle models including motor model, dynamic battery model, tire model and vehicle dynamics model are built in MATLAB/Simulink®. Simulation performance is evaluated in the Simulink®, and the results have shown that the design control law and fuzzy logic controller can enhance the yaw stability and improve the maneuverability of the vehicle significantly.","PeriodicalId":191216,"journal":{"name":"2009 IEEE Vehicle Power and Propulsion Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":"{\"title\":\"Motor torque based vehicle stability control for four-wheel-drive electric vehicle\",\"authors\":\"Feiqiang Li, Jun Wang, Zhao-Xin Liu\",\"doi\":\"10.1109/VPPC.2009.5289613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motor torque based active yaw moment control law is investigated in this paper, based on which vehicle stability control algorithm for four-wheel-drive electric vehicle is proposed using fuzzy logic control method. As four motors are mounted in the four wheels individually to drive the vehicle, it has great advantage to use the advanced motion control technique to enhance vehicle stability. The four driving and braking forces can be controlled independently to generate active yaw moment. However it is more complex to allocate the desired yaw moment to over-actuators. So the control law for fuzzy logic control algorithm is designed based on the dynamic analysis of vehicle instability. The electric vehicle models including motor model, dynamic battery model, tire model and vehicle dynamics model are built in MATLAB/Simulink®. Simulation performance is evaluated in the Simulink®, and the results have shown that the design control law and fuzzy logic controller can enhance the yaw stability and improve the maneuverability of the vehicle significantly.\",\"PeriodicalId\":191216,\"journal\":{\"name\":\"2009 IEEE Vehicle Power and Propulsion Conference\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"45\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Vehicle Power and Propulsion Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VPPC.2009.5289613\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Vehicle Power and Propulsion Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC.2009.5289613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45

摘要

研究了基于电机转矩的主动偏航力矩控制律,在此基础上提出了采用模糊逻辑控制方法的四轮驱动电动汽车整车稳定性控制算法。由于四个电机分别安装在四个车轮上驱动车辆,因此使用先进的运动控制技术来提高车辆的稳定性具有很大的优势。四个驱动和制动力可以独立控制,产生主动偏航力矩。然而,将期望的偏航力矩分配给过致动器则更为复杂。在对车辆不稳定性进行动态分析的基础上,设计了模糊控制算法的控制律。在MATLAB/Simulink®中建立了电动汽车模型,包括电机模型、电池动态模型、轮胎模型和整车动力学模型。仿真结果表明,所设计的控制律和模糊控制器能显著提高飞行器的偏航稳定性和机动性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motor torque based vehicle stability control for four-wheel-drive electric vehicle
Motor torque based active yaw moment control law is investigated in this paper, based on which vehicle stability control algorithm for four-wheel-drive electric vehicle is proposed using fuzzy logic control method. As four motors are mounted in the four wheels individually to drive the vehicle, it has great advantage to use the advanced motion control technique to enhance vehicle stability. The four driving and braking forces can be controlled independently to generate active yaw moment. However it is more complex to allocate the desired yaw moment to over-actuators. So the control law for fuzzy logic control algorithm is designed based on the dynamic analysis of vehicle instability. The electric vehicle models including motor model, dynamic battery model, tire model and vehicle dynamics model are built in MATLAB/Simulink®. Simulation performance is evaluated in the Simulink®, and the results have shown that the design control law and fuzzy logic controller can enhance the yaw stability and improve the maneuverability of the vehicle significantly.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信