IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i20p5395-d1770334.html
   My bibliography  Save this article

NVH Optimization of Motor Based on Distributed Mathematical Model Under PWM Control

Author

Listed:
  • Kai Zhao

    (Department of Electrical Engineering, College of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China)

  • Zhihui Jin

    (Department of Electrical Engineering, College of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China)

  • Jian Luo

    (Department of Electrical Engineering, College of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China)

Abstract

For the combination of finite elements and control circuits, the calculation is complex and time-consuming, making direct optimization impractical. In this paper, a new distributed node and magnetic circuit model is proposed to simulate the spatial and temporal variation of the distributed air-gap magnetic density with the current and rotor angle and solve the electromagnetic force wave variation. Compared to other distributed flux-linkage models, the proposed model not only considers the radial magnetic path but also connects adjacent magnetic paths tangentially. The inclusion of this tangential path enhances the mutual interaction between magnetic circuits, leading to a more accurate model. Based on the control circuit model, the electromagnetic force wave changes caused by the harmonic currents under various circuits and operating conditions are calculated, the topology is analyzed and optimized to mitigate critical harmonics, the electromagnetic force wave is reduced, and finally, the model accuracy is verified experimentally. While most distributed flux-linkage models are applied to the optimization of motor performance metrics such as the magnetomotive force (MMF), power, and torque, this paper applies the model to the optimization of the magnetic field strength, the harmonic content, and the corresponding noise, vibration, and harshness (NVH), demonstrating a broader range of applications. This method can be coupled with the control circuit to analyze the changes in electromagnetic force waves and quickly optimize them, improving the accuracy and efficiency of research and development.

Suggested Citation

  • Kai Zhao & Zhihui Jin & Jian Luo, 2025. "NVH Optimization of Motor Based on Distributed Mathematical Model Under PWM Control," Energies, MDPI, vol. 18(20), pages 1-18, October.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:20:p:5395-:d:1770334
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/20/5395/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/20/5395/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jie Xu & Lijun Zhang & Deijian Meng & Hui Su, 2022. "Simulation, Verification and Optimization Design of Electromagnetic Vibration and Noise of Permanent Magnet Synchronous Motor for Vehicle," Energies, MDPI, vol. 15(16), pages 1-16, August.
    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. Jonathan Muñoz Tabora & Bendict Katukula Tshoombe & Wellington da Silva Fonseca & Maria Emília de Lima Tostes & Edson Ortiz de Matos & Ubiratan Holanda Bezerra & Marcelo de Oliveira e Silva, 2022. "Virtual Modeling and Experimental Validation of the Line-Start Permanent Magnet Motor in the Presence of Harmonics," Energies, MDPI, vol. 15(22), pages 1-17, November.
    2. Vijina Abhijith & M. J. Hossain & Gang Lei & Premlal Ajikumar Sreelekha & Tibinmon Pulimoottil Monichan & Sree Venkateswara Rao, 2022. "Hybrid Switched Reluctance Motors for Electric Vehicle Applications with High Torque Capability without Permanent Magnet," Energies, MDPI, vol. 15(21), pages 1-16, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2025:i:20:p:5395-:d:1770334. 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.