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

Qiang Wang, Rui Li, Ziliang Zhao, Kui Liang, Wei Xu and Pingping Zhao ()
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Qiang Wang: School of Transportation, Shandong University of Science and Technology, Qingdao 266590, 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

Energies, 2023, vol. 16, issue 3, 1-18

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.

Keywords: in-wheel motor; electromagnetic-thermal coupling; temperature field; convection heat transfer coefficient; cooling structure optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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