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A Method to Improve Torque Density in a Flux-Switching Permanent Magnet Machine

Author

Listed:
  • Junshuai Cao

    (College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China)

  • Xinhua Guo

    (College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China)

  • Weinong Fu

    (Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China)

  • Rongkun Wang

    (College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China)

  • Yulong Liu

    (College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China)

  • Liaoyuan Lin

    (College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China)

Abstract

With the continuous development of machines, various structures emerge endlessly. In this paper, a novel 6-stator-coils/17-rotor-teeth (6/17) E-shaped stator tooth flux switching permanent magnet (FSPM) machine is introduced, which has magnets added in the dummy slots of the stator teeth. This proposed machine is parametrically designed and then compared with the conventional 6/17 E-shaped stator tooth FSPM machine through finite element method (FEM) analysis. Then, combined with the results of FEM, the performance of two machines is evaluated, such as electromagnetic torque, efficiency, back electromotive force (back-EMF). The final results show that this novel 6/17 FSPM machine has greater output torque and smaller torque ripple.

Suggested Citation

  • Junshuai Cao & Xinhua Guo & Weinong Fu & Rongkun Wang & Yulong Liu & Liaoyuan Lin, 2020. "A Method to Improve Torque Density in a Flux-Switching Permanent Magnet Machine," Energies, MDPI, vol. 13(20), pages 1-9, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5308-:d:426882
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    References listed on IDEAS

    as
    1. Xinhua Guo & Shaozhe Wu & Weinong Fu & Yulong Liu & Yunchong Wang & Peihuang Zeng, 2016. "Control of a Dual-Stator Flux-Modulated Motor for Electric Vehicles," Energies, MDPI, vol. 9(7), pages 1-19, July.
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    Cited by:

    1. Anouar Belahcen & Armando Pires & Vitor Fernão Pires, 2023. "Magnetic Material Modelling of Electrical Machines," Energies, MDPI, vol. 16(2), pages 1-3, January.

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