IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i10p3825-d821824.html
   My bibliography  Save this article

Swiveling Magnetization for Anisotropic Magnets for Variable Flux Spoke-Type Permanent Magnet Motor Applied to Electric Vehicles

Author

Listed:
  • Yin-Hui Lee

    (Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan)

  • Min-Fu Hsieh

    (Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan)

Abstract

This paper investigates the application of anisotropic low-coercive force (LCF) magnets to a novel variable-flux spoke-type permanent magnet synchronous motor (VFS-PMSM) for electrical vehicles with a wide speed range. In the VFS-PMSM, flux is regulated by swiveling the magnetization of the anisotropic LCF magnets instead of directly magnetizing or demagnetizing them. The previously proposed VFS-PMSM uses only isotropic LCF magnets for easily swiveling the magnetic pole direction, resulting in lower torque density. The challenge thus lies in the feasibility to swivel the magnetic pole direction of the anisotropic LCF magnet, and the impact of the different magnetization strengths of the anisotropic magnets on the motor performance. This paper first studies the feasibility to swivel the magnetization direction of anisotropic LCF magnets through experiments. It is confirmed that the magnetization direction can be successfully swiveled by 90 degrees with a reduced external magnetizing field. Then, two VFS-PMSM topologies and various rotor configurations are compared in terms of key performance indices to determine critical sizing factors for performance enhancement. Finite element analysis is used for simulations. In comparison with the VFS-PMSM equipped with isotropic LCF magnets, the maximum torque of the proposed topology can be improved for the same flux adjustment ability. Alternatively, the flux adjustment ability can also be enhanced by 37.43% for the same maximum torque.

Suggested Citation

  • Yin-Hui Lee & Min-Fu Hsieh, 2022. "Swiveling Magnetization for Anisotropic Magnets for Variable Flux Spoke-Type Permanent Magnet Motor Applied to Electric Vehicles," Energies, MDPI, vol. 15(10), pages 1-20, May.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3825-:d:821824
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/10/3825/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/10/3825/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Myeong-Hwan Hwang & Jong-Ho Han & Dong-Hyun Kim & Hyun-Rok Cha, 2018. "Design and Analysis of Rotor Shapes for IPM Motors in EV Power Traction Platforms," Energies, MDPI, vol. 11(10), pages 1-12, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Łukasz Knypiński & Karol Pawełoszek & Yvonnick Le Menach, 2020. "Optimization of Low-Power Line-Start PM Motor Using Gray Wolf Metaheuristic Algorithm," Energies, MDPI, vol. 13(5), pages 1-11, March.
    2. Piotr Mynarek & Janusz Kołodziej & Adrian Młot & Marcin Kowol & Marian Łukaniszyn, 2021. "Influence of a Winding Short-Circuit Fault on Demagnetization Risk and Local Magnetic Forces in V-Shaped Interior PMSM with Distributed and Concentrated Winding," Energies, MDPI, vol. 14(16), pages 1-16, August.
    3. Minhyeok Lee & Yunkyung Hwang & Kwanghee Nam, 2021. "Torque Ripple Minimizing of Uniform Slot Machines with Delta Rotor via Subdomain Analysis," Energies, MDPI, vol. 14(21), pages 1-18, November.
    4. Catalin Petrea Ion & Marius Daniel Calin & Ioan Peter, 2023. "Design of a 3 kW PMSM with Super Premium Efficiency," Energies, MDPI, vol. 16(1), pages 1-11, January.
    5. Felix Veeser & Tristan Braun & Lothar Kiltz & Johannes Reuter, 2021. "Nonlinear Modelling, Flatness-Based Current Control, and Torque Ripple Compensation for Interior Permanent Magnet Synchronous Machines," Energies, MDPI, vol. 14(6), pages 1-14, March.
    6. Yang Sun & Shuhui Li & Malek Ramezani & Bharat Balasubramanian & Bian Jin & Yixiang Gao, 2019. "DSP Implementation of a Neural Network Vector Controller for IPM Motor Drives," Energies, MDPI, vol. 12(13), pages 1-17, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3825-:d:821824. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.