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<p>To tackle the issues of high cogging torque and high distortion in the magnetic flux waveforms of conventional symmetric-pole permanent magnet motors, this study proposes an asymmetric interleaved pole hybrid excitation drive motor structure for multi-objective optimization. An analytical model of cogging torque is derived using the energy method, and the relationship between the structural parameters and the cogging torque is analyzed. A finite element model is developed to examine how rotor eccentricity, pole deflection angle, and pole offset affect cogging torque. Parameter sensitivity analyses are performed on the optimization parameters of the permanent magnet rotor. Based on the sensitivity outcomes, a combined genetic algorithm and evolution strategy is applied for multi-objective optimization. Results show that with a rotor eccentricity of 3&#xa0;mm, a pole deflection of 0.4, and an offset of 0.05&#xa0;mm, the air-gap flux distortion is decreased by 32%, the cogging torque is reduced by 41.7%, and the torque ripple is reduced 12.8%, while the average output torque is increased by 0.83%. Prototype tests validate the effectiveness of the proposed structure and optimization approach.</p>

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Electromagnetic characteristics of hybrid-excited motors with asymmetric magnetic poles

  • 期刊论文

  • 发表日期：

    2026年4月15日

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  • Wenjing Hu,
  • Huihui Geng,
  • Kai Geng,
  • Xianshun Wang,
  • Yishuo Liu,
  • Qi Yu,
  • Xingxu Jin

摘要

To tackle the issues of high cogging torque and high distortion in the magnetic flux waveforms of conventional symmetric-pole permanent magnet motors, this study proposes an asymmetric interleaved pole hybrid excitation drive motor structure for multi-objective optimization. An analytical model of cogging torque is derived using the energy method, and the relationship between the structural parameters and the cogging torque is analyzed. A finite element model is developed to examine how rotor eccentricity, pole deflection angle, and pole offset affect cogging torque. Parameter sensitivity analyses are performed on the optimization parameters of the permanent magnet rotor. Based on the sensitivity outcomes, a combined genetic algorithm and evolution strategy is applied for multi-objective optimization. Results show that with a rotor eccentricity of 3 mm, a pole deflection of 0.4, and an offset of 0.05 mm, the air-gap flux distortion is decreased by 32%, the cogging torque is reduced by 41.7%, and the torque ripple is reduced 12.8%, while the average output torque is increased by 0.83%. Prototype tests validate the effectiveness of the proposed structure and optimization approach.