Scholarlink

This paper presents a novel asymmetric hybrid-pole permanent magnet (AHPM) machine, wherein the rotor integrates consequent-pole and V-shaped interior permanent magnet (VIPM) rotors. The AHPM machine employs the magnetic-field-shifting (MFS) effect to enhance torque performance, achieving optimal utilization of both PM and reluctance torque concurrently. Additionally, a general pattern for the AHPM machine is proposed to encompass all potential configurations. By adjusting the structural parameters of the general pattern, it becomes effortless to achieve either an asymmetric flux barrier configuration, an asymmetric PM configuration, or both. The final AHPM structure is determined through the utilization of a non-dominated sorting genetic algorithm II (NSGA-II) in conjunction with finite element analysis (FEA), facilitating a fully automated process. To showcase the effectiveness of the MFS effect, a comparison between the proposed AHPM machine and a conventional machine is conducted. Simulation results demonstrate that the proposed APHM machine exhibits superior output torque and reduced torque ripple.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Design and Optimization of a Novel Asymmetric Hybrid-Pole Permanent Magnet Machine for Electric Vehicles

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Jiahui Huang,
  • Weinong Fu,
  • Shuangxia Niu,
  • Yanding Bi

摘要

This paper presents a novel asymmetric hybrid-pole permanent magnet (AHPM) machine, wherein the rotor integrates consequent-pole and V-shaped interior permanent magnet (VIPM) rotors. The AHPM machine employs the magnetic-field-shifting (MFS) effect to enhance torque performance, achieving optimal utilization of both PM and reluctance torque concurrently. Additionally, a general pattern for the AHPM machine is proposed to encompass all potential configurations. By adjusting the structural parameters of the general pattern, it becomes effortless to achieve either an asymmetric flux barrier configuration, an asymmetric PM configuration, or both. The final AHPM structure is determined through the utilization of a non-dominated sorting genetic algorithm II (NSGA-II) in conjunction with finite element analysis (FEA), facilitating a fully automated process. To showcase the effectiveness of the MFS effect, a comparison between the proposed AHPM machine and a conventional machine is conducted. Simulation results demonstrate that the proposed APHM machine exhibits superior output torque and reduced torque ripple.