Journal of Power Electronics

  • 제26권4호
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  • Pages.875-886
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  • 2026
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  • 1598-2092(pISSN)
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  • 2093-4718(eISSN)
전력전자학회 (The Korean Institute of Power Electronics)
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DOI QR코드

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Multiobjective optimization for torque ripple suppression in brushless DC motors with a hybrid magnet

  • Sheng Ni (School of Airspace Science and Engineering, Shandong University) ;
  • Yinan Wang (School of Airspace Science and Engineering, Shandong University) ;
  • Xibo Wang (School of Airspace Science and Engineering, Shandong University) ;
  • Hao Zhan (School of Airspace Science and Engineering, Shandong University) ;
  • Linzhi Zheng (School of Airspace Science and Engineering, Shandong University) ;
  • Juntao Yu (School of Airspace Science and Engineering, Shandong University) ;
  • Li Wang (School of Airspace Science and Engineering, Shandong University) ;
  • Hui Wang (Weihai Quanxin Motor Co., Ltd.) ;
  • Xinling Wang (Weihai Quanxin Motor Co., Ltd.)
  • 투고 : 2025.06.17
  • 심사 : 2026.01.18
  • 발행 : 2026.04.20
⟨ 이전 논문 다음 논문 ⟩

초록

To address the torque ripple issue of brushless direct current motors under square wave control, this study proposes a multiobjective optimization design method on the basis of hybrid poles to achieve torque ripple suppression and reduce manufacturing costs. The method optimizes the interior flat permanent-magnet motor by combining neodymium-iron-boron and ferrite magnets with the improved Kepler optimization algorithm. The optimization process modulates the rotor flux linkage to improve the interaction between back electromotive force and phase current time-domain waveforms, thereby effectively suppressing torque ripple under six-step square wave control. Finite element analysis and prototype testing results indicate that under various operating conditions, the optimized model achieves a maximum torque ripple reduction of 25.6% at the cost of a 13.8% decrease in the average torque output, and the use of rare-earth permanentmagnet materials is reduced by about 26.7%, substantially enhancing cost effectiveness.

키워드

과제정보

This research was supported by the Key Research and Development Plan of Shandong Province (2024TSGC0717, 2025TSGCCZZB0742, 2023JMRH0303, 2024JMRH0304).

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