Multiphysics Dimension-Reduced Optimization of a PM Hub Motor based on Electromagnetic-Thermal Mesh-Shared Network Model

• Published in: IEEE transactions on transportation electrification p. 1
• Main Authors: Zhu, Xiaoyong, Yang, Zhangwei, Wu, Jiqi, Xiang, Zixuan, Liu, Shilong, Chen, Yunyun, Quan, Li
• Format: Journal Article
• Language: English
• Published: IEEE 20.09.2024
• Subjects: Couplings; dimension reduction; electromagnetic-thermal bi-directional coupling analysis; Electromagnetics; mesh-shared model; Motors; Multiphysics optimization; Optimization; Rotors; Stator windings; Torque
• ISSN: 2332-7782; 2332-7782
• DOI: 10.1109/TTE.2024.3465834

This paper proposes a multi-physics dimension-reduced optimization design approach to comprehensively improve the electromagnetic performances and temperature characteristics of the hub motors. Firstly, an electromagnetic-thermal mesh-shared network (ET-MSN) model is proposed, which achieves a high integration between the electromagnetic analysis model and the thermal analysis model. The significant advantage of the ET-MSN model is its ability to establish the mapping between the electromagnetic performances and temperature characteristics. Based on the ET-MSN model, two electromagnetic-thermal dimension-reduced objectives that simultaneously represent electromagnetic performances and temperature characteristics are defined, thereby facilitating efficient multi-physics dimension-reduced optimization. Finally, a prototype is fabricated. The proposed optimization approach is thoroughly validated by simulation and experimental results, which effectively addressing challenges presented in traditional multi-physics optimization methods.