IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v322y2025ics0360544225012290.html
   My bibliography  Save this article

Power allocation-Oriented stator current optimization and dynamic control of a dual-inverter open-winding PMSM drive system for dual-power electric vehicles

Author

Listed:
  • Jia, Yifan
  • Wang, Aoyun
  • Zhang, Qian
  • Xu, Nan

Abstract

An open-winding PMSM drive system fed by a dual inverter with an isolated DC bus is a competitive option for dual-power electric vehicles. This system allows manageable power allocation between two power sources with different voltages through the motor without a DC‒DC converter. Based on the dynamic model of the OW-PMSM and dual-inverter power allocation principles, this paper investigates the optimization of the stator current and its dynamic control. Two stator current planning algorithms are proposed to minimize the motor losses in the steady state and to maximize the power allocation range of the dual inverter. Then, an integrated sliding mode control scheme is proposed to guarantee the smooth switch of the two stator current reference vectors, during which the electromagnetic torque ripple is reduced and the control stability is enhanced. The simulation and experimental results confirm the validity of the proposed methods and demonstrate their advantages in vehicular applications.

Suggested Citation

  • Jia, Yifan & Wang, Aoyun & Zhang, Qian & Xu, Nan, 2025. "Power allocation-Oriented stator current optimization and dynamic control of a dual-inverter open-winding PMSM drive system for dual-power electric vehicles," Energy, Elsevier, vol. 322(C).
  • Handle: RePEc:eee:energy:v:322:y:2025:i:c:s0360544225012290
    DOI: 10.1016/j.energy.2025.135587
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225012290
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.135587?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Shaoshuai & Zhang, Jianzhong & Deng, Fujin, 2024. "Design and optimization of high torque density flux modulated multi-winding permanent magnet machines for electric vehicles," Energy, Elsevier, vol. 304(C).
    2. Wang, Shuai & Wu, Xiuheng & Zhao, Xueyan & Wang, Shilong & Xie, Bin & Song, Zhenghe & Wang, Dongqing, 2023. "Co-optimization energy management strategy for a novel dual-motor drive system of electric tractor considering efficiency and stability," Energy, Elsevier, vol. 281(C).
    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. Francesco Mocera & Aurelio Somà & Salvatore Martelli & Valerio Martini, 2023. "Trends and Future Perspective of Electrification in Agricultural Tractor-Implement Applications," Energies, MDPI, vol. 16(18), pages 1-36, September.
    2. Ya Li & Xiaohan Chen & Xiaorong Han & Ning Xu & Zhiqiang Zhai & Kai Lu & Youfeng Zhu & Guangming Wang, 2024. "Application of Computer Simulation Technology in the Development of Tractor Transmission Systems," Agriculture, MDPI, vol. 14(9), pages 1-34, September.
    3. Wang, Shaoshuai & Zhang, Jianzhong & Deng, Fujin, 2024. "Design and optimization of high torque density flux modulated multi-winding permanent magnet machines for electric vehicles," Energy, Elsevier, vol. 304(C).
    4. He, Xionglin & Yu, Qiang & Jiang, Zihong & Tan, Yilin & Chen, Yongji & Xie, Bin & Wen, Changkai, 2025. "Dual-layer adaptive power management strategy for E-tractor incorporating operating information and deep reinforcement learning," Energy, Elsevier, vol. 319(C).
    5. Ugnė Koletė Medževeprytė & Rolandas Makaras & Vaidas Lukoševičius & Sigitas Kilikevičius, 2023. "Application and Efficiency of a Series-Hybrid Drive for Agricultural Use Based on a Modified Version of the World Harmonized Transient Cycle," Energies, MDPI, vol. 16(14), pages 1-16, July.

    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:eee:energy:v:322:y:2025:i:c:s0360544225012290. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.