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Temperature Field Analysis and Cooling Structure Optimization for Integrated Permanent Magnet In-Wheel Motor Based on Electromagnetic-Thermal Coupling

Author

Listed:
  • Qiang Wang

    (School of Transportation, Shandong University of Science and Technology, Qingdao 266590, China
    Zhongtong Bus Holding Co., Ltd., Liaocheng 252000, China)

  • Rui Li

    (School of Transportation, Shandong University of Science and Technology, Qingdao 266590, China)

  • Ziliang Zhao

    (School of Transportation, Shandong University of Science and Technology, Qingdao 266590, China)

  • Kui Liang

    (School of Transportation, Shandong University of Science and Technology, Qingdao 266590, China)

  • Wei Xu

    (School of Transportation, Shandong University of Science and Technology, Qingdao 266590, China)

  • Pingping Zhao

    (College of Chemical and Biological Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract

Aiming at the impact of heat generation and temperature rise on the driving performance of a permanent magnet (PM) motor, taking the PM in-wheel motor (IWM) for electric vehicles as an object, research is conducted into the temperature distribution of the electromagnetic–thermal effect and cooling structure optimization. Firstly, the electromagnetic–thermal coupling model considering electromagnetic harmonics is established using the subdomain model and Bertotti’s iron loss separation theory. Combined with the finite element (FE) simulation model established by Ansoft Maxwell software platform, the winding copper loss, stator core loss and PM eddy current loss under the action of complex magnetic flux are analyzed, and the transient temperature distribution of each component is obtained through coupling. Secondarily, the influence of the waterway structure parameters on the heat dissipation effect of the PM-IWM is analyzed by the thermal-fluid coupled relationship. On the basis, the optimization design of waterway structure parameters is carried out to improve the heat dissipation effect of the cooling system based on the proposed chaotic mapping ant colony algorithm with metropolis criterion. The comparison before and after optimization shows that the temperature of key components is significantly improved, the average convection heat transfer coefficient (CHTC) is increased by 23.57%, the peak temperature of stator is reduced from 95.47 °C to 82.73 °C, and the peak temperature of PM is decreased by 14.26%, thus the demagnetization risk in the PM is improved comprehensively. The research results can provide some theoretical and technical support for the structural optimization of water-cooled dissipation in the PM motor.

Suggested Citation

  • Qiang Wang & Rui Li & Ziliang Zhao & Kui Liang & Wei Xu & Pingping Zhao, 2023. "Temperature Field Analysis and Cooling Structure Optimization for Integrated Permanent Magnet In-Wheel Motor Based on Electromagnetic-Thermal Coupling," Energies, MDPI, vol. 16(3), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1527-:d:1057013
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    References listed on IDEAS

    as
    1. Dajun Tao & Kai Liang Zhou & Fei Lv & Qingpeng Dou & Jianxiao Wu & Yutian Sun & Jibin Zou, 2020. "Magnetic Field Characteristics and Stator Core Losses of High-Speed Permanent Magnet Synchronous Motors," Energies, MDPI, vol. 13(3), pages 1-15, January.
    2. Wen Ji & Fei Ni & Dinggang Gao & Shihui Luo & Qichao Lv & Dongyuan Lv, 2021. "Electromagnetic Design of High-Power and High-Speed Permanent Magnet Synchronous Motor Considering Loss Characteristics," Energies, MDPI, vol. 14(12), pages 1-19, June.
    3. Bin Li & Liang Yan & Wenping Cao, 2020. "An Improved LPTN Method for Determining the Maximum Winding Temperature of a U-Core Motor," Energies, MDPI, vol. 13(7), pages 1-18, March.
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