IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i9p2102-d1384691.html
   My bibliography  Save this article

Electromagnetic Performance Analysis of Dual-Three-Phase Dual-Rotor Flux-Switching Permanent Magnet Machines

Author

Listed:
  • Yizhi Chen

    (NARI Technology Co., Ltd., Nanjing 211106, China)

  • Guishu Zhao

    (School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China)

  • Zhengliang Li

    (School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China)

  • Zhe Chang

    (School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China)

  • Shuye Ding

    (School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China)

  • Yuheng Zhou

    (School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China)

Abstract

In this paper, a novel dual-three-phase dual-rotor flux-switching permanent magnet (PM) (DRFSPM) machine, building upon conventional FSPM machines, is proposed, where the stator is equipped with dual PMs and dual armature windings, enabling it to operate in various working modes and provide fault tolerance in the event of PM or armature winding faults. Depending on the magnetization directions of the PMs, the proposed DRFSPM machine’s structure can be categorized as 6N-DRFSPM or NS-DRFSPM. In order to assess the electromagnetic performance of the proposed DRFSPM machines with two different magnetizing modes, the topology and operating principle of the two DRFSPM machines are introduced first. Then, the no-load air-gap flux density of the two proposed machines is investigated for a more optimized and purposeful design. Finally, a comparison of the electromagnetic performance between the two proposed DRFSPM machines is conducted by finite-element analysis (FEA), and the FEA-predicted results indicate that the proposed 6N-DRFSPM machine outperforms the NS-DRFSPM machine, as it exhibits a larger back-EMF and average torque and a smaller cogging torque and torque ripple.

Suggested Citation

  • Yizhi Chen & Guishu Zhao & Zhengliang Li & Zhe Chang & Shuye Ding & Yuheng Zhou, 2024. "Electromagnetic Performance Analysis of Dual-Three-Phase Dual-Rotor Flux-Switching Permanent Magnet Machines," Energies, MDPI, vol. 17(9), pages 1-15, April.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:9:p:2102-:d:1384691
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/9/2102/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/9/2102/
    Download Restriction: no
    ---><---

    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:17:y:2024:i:9:p:2102-:d:1384691. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.