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Volume 55 Issue 1
Jan.  2020
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Article Contents
Journal of Southwest Jiaotong University  > 2020  >  55(1): 76-83, 91.
ZHANG Heshan, XU Jin, DENG Zhaoxiang, JIANG Yanjun. Temperature Field of in-Wheel Motor Using Coupled Multi-physics Domain Solution[J]. Journal of Southwest Jiaotong University, 2020, 55(1): 76-83, 91. doi: 10.3969/j.issn.0258-2724.20170263
Citation: ZHANG Heshan, XU Jin, DENG Zhaoxiang, JIANG Yanjun. Temperature Field of in-Wheel Motor Using Coupled Multi-physics Domain Solution[J]. Journal of Southwest Jiaotong University, 2020, 55(1): 76-83, 91. doi: 10.3969/j.issn.0258-2724.20170263
shu

Temperature Field of in-Wheel Motor Using Coupled Multi-physics Domain Solution

doi: 10.3969/j.issn.0258-2724.20170263
  • Received Date: 18 Apr 2017
  • Rev Recd Date: 29 Dec 2017
    • Available Online: 06 Dec 2018
  • Publish Date: 01 Feb 2020
    Abstract
  • In order to study the influence of temperature change on the working performance and service life of in-wheel motor for electric vehicles, a coupled multi-physics analysis method is proposed. Firstly, the field-circuit coupling method is used to solve the finite element model of the in-wheel motor and the external circuit. A joint simulation model including the in-wheel motor and external drive control circuit is established, which takes into account the influence of the time harmonic current from external excitation on the magnetic field. Then, the calculated winding copper loss, stator core loss, permanent magnet (PM) eddy current loss and stray loss are used as heat sources, and they are coupled to each component by magneto-thermal coupling method to study the transient temperature field. The transient variation characteristics of the loss distribution in time and space are overall considered, and the thermal loss and temperature field are coupled accurately in real time. The temperature variation of each component over time and space is studied in detail. The direct coupling between electromagnetic field and external circuit, and the sequential coupling between electromagnetic field and temperature field are realized by the coupled multi-physics analysis method. Finally, the bench test of the in-wheel motor is carried out. The results show that the maximum temperature error between the simulation and tests is 4.96% under rated conditions, and the maximum error is 10.55% under peak conditions.

     

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