@article { , title = {Multi-Physics and Multi-Objective Optimization of a High Speed PMSM for High Performance Applications}, abstract = {© 1965-2012 IEEE. High-speed permanent magnet synchronous machine (PMSM) can provide high power density and high efficiency, which is often highly desirable in high performance applications. A multi-physics optimization program based on the multi-objective genetic algorithm was developed in this paper, to achieve a tradeoff solution between the electromagnetic, mechanical, and thermal aspects. First, the parametric electromagnetic model was modeled based on the finite-element method, and then a thermal network model and an analytical mechanical model to determine the thickness of the magnet and the sleeve were developed and merged within a design cycle of the machine, in an effort to attain the target performances of 20 kW/kg at 20 000 r/min for a 2 MW PMSM. Optimization results indicated that a final design with eight poles and 48 slots could obtain a comprehensive performance between power density and efficiency, and the performance satisfied all the requirements.}, doi = {10.1109/TMAG.2018.2835504}, issn = {0018-9464}, issue = {11}, journal = {IEEE Transactions on Magnetics}, publicationstatus = {Published}, publisher = {Institute of Electrical and Electronics Engineers}, url = {https://nottingham-repository.worktribe.com/output/1221416}, volume = {54}, year = {2018}, author = {Zhao, Weiduo and Wang, Xuejiao and Gerada, Chris and Zhang, He and Liu, Chuan and Wang, Yinli} }