{"title":"Rotor Regionalization Design and Investigation of Direct-Drive Hub PM Motor With Active-Balancing Between Torque and Flux Regulation Ability","authors":"Xiaoyong Zhu;Wenqing Zhu;Zixuan Xiang;Min Jiang;Yuze Wu;Li Zhang","doi":"10.1109/TIE.2025.3549083","DOIUrl":null,"url":null,"abstract":"In this article, through a newly proposed rotor regionalization design method, a direct-drive hub permanent magnet (DD-HPM) motor is designed for electric vehicles. The key of the research is to achieve active-balancing between torque and flux regulation ability by the targeted design of the three regions of the rotor. First, according to the regionalized magnetic circuit, the torque and flux regulation ability can be deduced to be represented by the three regional magnetic fluxes, respectively, achieving the performance decoupling. Then, combined with the reluctance and magnetic motive force (MMF) design of the torque-flux regulation public region, the required flux regulation ability can be obtained. Further, targeted to the reluctance and MMF of the torque capability region and the flux regulation ability region, the key parameters are selected. And the relationship between the parameters is derived, to satisfy the flux regulation ability design based on the freezing concept. Consequently, within an invariable flux regulation ability, the torque is effectively maximized. Finally, the performance including output torque, flux regulation ability, and speed regulation range are evaluated. The results show the effectiveness of the rotor regionalization design method, and high-torque output capability as well as the wide speed range of the proposed DD-HPM motor.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 10","pages":"9822-9831"},"PeriodicalIF":7.2000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10933556/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, through a newly proposed rotor regionalization design method, a direct-drive hub permanent magnet (DD-HPM) motor is designed for electric vehicles. The key of the research is to achieve active-balancing between torque and flux regulation ability by the targeted design of the three regions of the rotor. First, according to the regionalized magnetic circuit, the torque and flux regulation ability can be deduced to be represented by the three regional magnetic fluxes, respectively, achieving the performance decoupling. Then, combined with the reluctance and magnetic motive force (MMF) design of the torque-flux regulation public region, the required flux regulation ability can be obtained. Further, targeted to the reluctance and MMF of the torque capability region and the flux regulation ability region, the key parameters are selected. And the relationship between the parameters is derived, to satisfy the flux regulation ability design based on the freezing concept. Consequently, within an invariable flux regulation ability, the torque is effectively maximized. Finally, the performance including output torque, flux regulation ability, and speed regulation range are evaluated. The results show the effectiveness of the rotor regionalization design method, and high-torque output capability as well as the wide speed range of the proposed DD-HPM motor.
期刊介绍:
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.