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Research on Temperature-Rise Characteristics of Motor Based on Simplified Lumped-Parameter Thermal Network Model

Author

Listed:
  • Jinguang Liang

    (Liaoning Provincial Key Laboratory of Energy Storage and Utilization, Yingkou 115014, China)

  • Kaijie Liang

    (Liaoning Provincial Key Laboratory of Energy Storage and Utilization, Yingkou 115014, China)

  • Zhengri Shao

    (Liaoning Provincial Key Laboratory of Energy Storage and Utilization, Yingkou 115014, China)

  • Yihong Niu

    (Liaoning Provincial Key Laboratory of Energy Storage and Utilization, Yingkou 115014, China)

  • Xiaobei Song

    (Liaoning Provincial Key Laboratory of Energy Storage and Utilization, Yingkou 115014, China)

  • Ping Sun

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Jincheng Feng

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

Abstract

The thermal management of a driving motor is related to the performance and economy of the vehicle. The lumped-parameter thermal network (LPTN) method can provide a model basis for motor temperature-rise control and effectively shorten the development cycle of motor thermal performance design. In this study, an 80 kw water-cooled permanent magnet synchronous motor was used and the accurate thermal model of a motor was built using the LPTN. On the basis of the accurate thermal model, the simplified thermal model of a motor was obtained by reducing the complexity of the model. The temperature-rise test of the end winding and magnetic steel of the motor was carried out under some working conditions. The test conditions were selected according to continuous external characteristics and operating characteristics of the motor. Compared with the experimental results, the temperature-rise error of the two thermal models was less than 5%. The temperature-rise error of the simplified thermal model was less than 3% compared with the accurate thermal model. Therefore, the simplified thermal model can be used to quickly predict the temperature rise of the motor.

Suggested Citation

  • Jinguang Liang & Kaijie Liang & Zhengri Shao & Yihong Niu & Xiaobei Song & Ping Sun & Jincheng Feng, 2024. "Research on Temperature-Rise Characteristics of Motor Based on Simplified Lumped-Parameter Thermal Network Model," Energies, MDPI, vol. 17(18), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:18:p:4717-:d:1482978
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    References listed on IDEAS

    as
    1. Zexin Jia & Gaohong Xu & Pengliang Qian & Qian Chen & Yanan Zhou, 2022. "A Simplified LPTN Model for a Fault-Tolerant Permanent Magnet Motor under Inter-Turn Short-Circuit Faults," Energies, MDPI, vol. 15(22), pages 1-21, November.
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