新型电动汽车转矩矢量驱动桥动态特性建模及基于RBF-SMC的转矩控制

IF 7.1 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Shoulin Gao;Junnian Wang;Changyang Guan;Zidong Zhou;Zhe Liu
{"title":"新型电动汽车转矩矢量驱动桥动态特性建模及基于RBF-SMC的转矩控制","authors":"Shoulin Gao;Junnian Wang;Changyang Guan;Zidong Zhou;Zhe Liu","doi":"10.1109/TVT.2024.3507923","DOIUrl":null,"url":null,"abstract":"In order to realize the arbitrary distribution of left/right wheel driving torque for electric vehicles with centralized drive system, which is similar to the advantages of in-wheel motor drive system, a novel torque vectoring (TV) drive-axle system is proposed. With the help of it, the active safety and steering maneuverability of the vehicle can be easily improved. In this paper, the structure and torque distribution principle of the novel TV drive-axle are analyzed first. Second, a relatively accurate system dynamic model of the TV drive-axle is established based on bond graph theory, and the system dynamic response characteristics are analyzed. Third, in order to improve the quality of the system dynamic characteristics, a TV drive-axle system controller based on the radial basis neural network sliding mode control (RBF-SMC) strategy is proposed. Finally, a hardware-in-the-loop (HIL) test bench is built, and the effectiveness of the proposed RBF-SMC control strategy is verified by the combination of off-line simulation and HIL experimental. The simulation and HIL experimental results all demonstrate that the proposed RBF-SMC control strategy can effectively improve the system dynamic response quality of the TV drive-axle, so as the controlled TV drive-axle can meet the requirements of real vehicle application.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 4","pages":"5757-5770"},"PeriodicalIF":7.1000,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Characteristic Modeling and RBF-SMC Based Torque Control of a Novel Torque Vectoring Drive-Axle for Electric Vehicles\",\"authors\":\"Shoulin Gao;Junnian Wang;Changyang Guan;Zidong Zhou;Zhe Liu\",\"doi\":\"10.1109/TVT.2024.3507923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to realize the arbitrary distribution of left/right wheel driving torque for electric vehicles with centralized drive system, which is similar to the advantages of in-wheel motor drive system, a novel torque vectoring (TV) drive-axle system is proposed. With the help of it, the active safety and steering maneuverability of the vehicle can be easily improved. In this paper, the structure and torque distribution principle of the novel TV drive-axle are analyzed first. Second, a relatively accurate system dynamic model of the TV drive-axle is established based on bond graph theory, and the system dynamic response characteristics are analyzed. Third, in order to improve the quality of the system dynamic characteristics, a TV drive-axle system controller based on the radial basis neural network sliding mode control (RBF-SMC) strategy is proposed. Finally, a hardware-in-the-loop (HIL) test bench is built, and the effectiveness of the proposed RBF-SMC control strategy is verified by the combination of off-line simulation and HIL experimental. The simulation and HIL experimental results all demonstrate that the proposed RBF-SMC control strategy can effectively improve the system dynamic response quality of the TV drive-axle, so as the controlled TV drive-axle can meet the requirements of real vehicle application.\",\"PeriodicalId\":13421,\"journal\":{\"name\":\"IEEE Transactions on Vehicular Technology\",\"volume\":\"74 4\",\"pages\":\"5757-5770\"},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2024-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Vehicular Technology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10770614/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Vehicular Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10770614/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

为了实现集中式驱动系统下电动汽车左右轮驱动转矩的任意分布,具有类似于轮内电机驱动系统的优点,提出了一种新型转矩矢量驱动(TV)驱动桥系统。利用该系统可以很容易地提高车辆的主动安全性和转向机动性。本文首先分析了新型电视驱动桥的结构和转矩分配原理。其次,基于键合图理论建立了较为精确的电视驱动桥系统动态模型,并对系统动态响应特性进行了分析。第三,为了提高系统动态特性的质量,提出了一种基于径向基神经网络滑模控制(RBF-SMC)策略的电视驱动桥系统控制器。最后,搭建了硬件在环(HIL)试验台,通过离线仿真和HIL实验相结合的方法验证了所提RBF-SMC控制策略的有效性。仿真和HIL实验结果均表明,所提出的RBF-SMC控制策略能够有效提高电视驱动桥的系统动态响应质量,使控制的电视驱动桥能够满足实际车辆应用的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Characteristic Modeling and RBF-SMC Based Torque Control of a Novel Torque Vectoring Drive-Axle for Electric Vehicles
In order to realize the arbitrary distribution of left/right wheel driving torque for electric vehicles with centralized drive system, which is similar to the advantages of in-wheel motor drive system, a novel torque vectoring (TV) drive-axle system is proposed. With the help of it, the active safety and steering maneuverability of the vehicle can be easily improved. In this paper, the structure and torque distribution principle of the novel TV drive-axle are analyzed first. Second, a relatively accurate system dynamic model of the TV drive-axle is established based on bond graph theory, and the system dynamic response characteristics are analyzed. Third, in order to improve the quality of the system dynamic characteristics, a TV drive-axle system controller based on the radial basis neural network sliding mode control (RBF-SMC) strategy is proposed. Finally, a hardware-in-the-loop (HIL) test bench is built, and the effectiveness of the proposed RBF-SMC control strategy is verified by the combination of off-line simulation and HIL experimental. The simulation and HIL experimental results all demonstrate that the proposed RBF-SMC control strategy can effectively improve the system dynamic response quality of the TV drive-axle, so as the controlled TV drive-axle can meet the requirements of real vehicle application.
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
CiteScore
6.00
自引率
8.80%
发文量
1245
审稿时长
6.3 months
期刊介绍: The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.
×
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