IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i4p1502-d751897.html
   My bibliography  Save this article

Design, Analysis, and Optimization of Permanent Magnet Vernier Machines Considering Rotor Losses

Author

Listed:
  • Wenjie Wu

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Liang Xu

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Bin Liu

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

The purpose of this paper is the design, analysis, and optimization of a new structure of a permanent magnet vernier machine (PMVM) with a high torque density and low rotor losses. First, the modulation principle and topology of this PMVM is introduced. Then, its average torque and rotor loss are enhanced and reduced by optimizing the flux modulation poles distribution. For the sake of further reducing the rotor losses on the premise of maintaining the torque density, the contribution of the air gap flux density harmonics to the rotor loss is analyzed. Then, a new topological structure of a rotor with a flux barrier is introduced to reduce the rotor losses due to the decrease of each harmful harmonic. Through the analysis of the structure of the PMVM with the flux barrier, the influence of the parameters on the performance is built. After that, a multi-objective optimization algorithm is used to optimize the PMVM so as to obtain the optimal performance. Moreover, the electromagnetic performance comparison between the newly proposed machine and the original one is presented to indicate that lower rotor losses can be obtained by the proposed machine when the torque is ensured. Finally, a prototype of proposed PMVM is built and further tested to verify the validities of the theoretical and finite-element analyses.

Suggested Citation

  • Wenjie Wu & Liang Xu & Bin Liu, 2022. "Design, Analysis, and Optimization of Permanent Magnet Vernier Machines Considering Rotor Losses," Energies, MDPI, vol. 15(4), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1502-:d:751897
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/4/1502/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/4/1502/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yujun Shi & Linni Jian, 2018. "A Novel Dual-Permanent-Magnet-Excited Machine with Flux Strengthening Effect for Low-Speed Large-Torque Applications," Energies, MDPI, vol. 11(1), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kritika Deepak & Mohamed Amine Frikha & Yassine Benômar & Mohamed El Baghdadi & Omar Hegazy, 2023. "In-Wheel Motor Drive Systems for Electric Vehicles: State of the Art, Challenges, and Future Trends," Energies, MDPI, vol. 16(7), pages 1-31, March.

    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. Guobin Peng & Jin Wei & Yujun Shi & Ziyun Shao & Linni Jian, 2018. "A Novel Transverse Flux Permanent Magnet Disk Wind Power Generator with H-Shaped Stator Cores," Energies, MDPI, vol. 11(4), pages 1-19, March.
    2. Mei Kang & Liang Xu & Jinghua Ji & Xuhui Zhu, 2022. "Design and Analysis of a High Torque Density Hybrid Permanent Magnet Excited Vernier Machine," Energies, MDPI, vol. 15(5), pages 1-16, February.
    3. Xiaodong Zhang & Xing Zhao & Shuangxia Niu, 2019. "A Novel Dual-Structure Parallel Hybrid Excitation Machine for Electric Vehicle Propulsion," Energies, MDPI, vol. 12(3), pages 1-11, January.
    4. Liang Xu & Wenxiang Zhao & Guohai Liu, 2019. "Improved SVPWM Fault-Tolerant Control Strategy for Five-Phase Permanent-Magnet Motor," Energies, MDPI, vol. 12(24), pages 1-15, December.
    5. Yunyun Chen & Yu Ding & Jiahong Zhuang & Xiaoyong Zhu, 2018. "Multi-Objective Optimization Design and Multi-Physics Analysis a Double-Stator Permanent-Magnet Doubly Salient Machine," Energies, MDPI, vol. 11(8), pages 1-15, August.

    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:4:p:1502-:d:751897. 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.