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}
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.
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.