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Design and Optimization of a Novel Wound Field Synchronous Machine for Torque Performance Enhancement

Author

Listed:
  • Wenping Chai

    (Department of Electronic Systems Engineering, Hanyang University, Ansan 15588, Korea)

  • Thomas A. Lipo

    (Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA)

  • Byung-il Kwon

    (Department of Electronic Systems Engineering, Hanyang University, Ansan 15588, Korea)

Abstract

This paper presents the design and optimization of a novel wound field synchronous machine topology, in which permanent magnets (PMs) are introduced into the rotor slot opening with segment configuration for high quality output torque performance. The rotor shape of the proposed PM-assisted wound field synchronous machine with segment configuration is optimized for maximizing the average output torque and decreasing torque ripple under constant PM volume and motor size. The segment configuration can be benefit to improve the reluctance torque. In addition, it is further clarified that the assisted-PM can help to increase the field torque by enlarging the magnetizing synchronous reactance ( X f ), as well as increasing airgap flux density. An optimal method combining Kriging method and genetic algorithm is applied for rotor shape optimization of proposed PM-assisted wound field synchronous machine (PMa-WFSM). Then, the 2-D finite-element analysis results, with the aid of JMAG-Designer, are used to confirm the validity. It is determined that the average output torque is improved by 31.66%, and keeps lower torque ripple without decreasing efficiency, increasing PM volume and motor size compared with those of the basic model. Finally, irreversible demagnetization and mises stress analysis verifies the reliability of the novel topology.

Suggested Citation

  • Wenping Chai & Thomas A. Lipo & Byung-il Kwon, 2018. "Design and Optimization of a Novel Wound Field Synchronous Machine for Torque Performance Enhancement," Energies, MDPI, vol. 11(8), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2111-:d:163601
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    References listed on IDEAS

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    1. Ming Cheng & Le Sun & Giuseppe Buja & Lihua Song, 2015. "Advanced Electrical Machines and Machine-Based Systems for Electric and Hybrid Vehicles," Energies, MDPI, vol. 8(9), pages 1-24, September.
    2. Yee Pien Yang & Guan Yu Shih, 2016. "Optimal Design of an Axial-Flux Permanent-Magnet Motor for an Electric Vehicle Based on Driving Scenarios," Energies, MDPI, vol. 9(4), pages 1-18, April.
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    Cited by:

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    2. Yong-Min You, 2019. "Optimal Design of PMSM Based on Automated Finite Element Analysis and Metamodeling," Energies, MDPI, vol. 12(24), pages 1-18, December.
    3. Sunghun Kim & Youngjin Park & Seungbeom Yoo & Sejun Lee & Uttam Kumar Chanda & Wonjun Cho & Ocktaeck Lim, 2023. "Optimization of the Uniformity Index Performance in the Selective Catalytic Reduction System Using a Metamodel," Sustainability, MDPI, vol. 15(18), pages 1-16, September.
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    5. Shuangshuang Guo & Bo Zhao & Cunshan Zhang & Binglin Lu & Yukang Chu & Peng Yang, 2022. "Research on a Limit Analytical Method for a Low-Speed Micro Permanent Magnet Torque Motor with Back Winding," Energies, MDPI, vol. 15(13), pages 1-20, June.

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