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Permanent magnet-assisted synchronous reluctance motors have been applied to electric bicycles, but it has low efficiency and high torque ripple. A ferrite-assisted external rotor synchronous reluctance motor is designed and the rotor structure is optimized in this paper. Initially, the fundamental structure and design parameters of the motor are established. Secondly, sensitivity analysis is used to divide the design parameters into strong and weak layers, and the surrogate model of least squares support vector machine is established, and optimized by the particle swarm algorithm. Finally, the optimal solution set is sought with a non-dominated genetic algorithm and verified by finite element analysis. The optimized average torque is improved by 5.83%, the efficiency is improved by 1.57%, and the torque ripple is reduced by 69.56%.

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Topology Optimization for Torque Ripple Minimization in Permanent Magnet Assisted Synchronous Reluctance Motor Based on PSO-LSSVM

  • 会议论文

  • 发表日期：

    2025年

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  • Xiaobo Liu,
  • Chaozhi Huang,
  • Siying Li,
  • Chengyi Gong

摘要

Permanent magnet-assisted synchronous reluctance motors have been applied to electric bicycles, but it has low efficiency and high torque ripple. A ferrite-assisted external rotor synchronous reluctance motor is designed and the rotor structure is optimized in this paper. Initially, the fundamental structure and design parameters of the motor are established. Secondly, sensitivity analysis is used to divide the design parameters into strong and weak layers, and the surrogate model of least squares support vector machine is established, and optimized by the particle swarm algorithm. Finally, the optimal solution set is sought with a non-dominated genetic algorithm and verified by finite element analysis. The optimized average torque is improved by 5.83%, the efficiency is improved by 1.57%, and the torque ripple is reduced by 69.56%.