Institute of Electrical and Electronic Engineers (IEEE)
2019 IEEE International Electric Machines & Drives Conference (IEMDC)
Electrical machine optimization process becomes increasingly demanding with higher-performance requirements for the electrical machine and its drive/control. This can significantly increase the computational requirement of the optimization process. This paper presents a review of the state-of-the-art in term of optimization of electrical machines. The review will cover modeling, analysis and optimization algorithms with emphasis on the computational efficiency. The paper will also focus on optimizing electrical machines for a wide constant power speed range which requires including multiple operating points (in some cases representative of a drive cycle)in the optimization process. Systematic approaches that focus on the reduction of computational time are discussed and compared. Future directions and potential research areas are also discussed.
Ma, Qingqing; Chen, Hao; EL-Refaie, Ayman M.; and Sun, Yue, "A Review of Electrical Machine Optimization Methods with Emphasis on Computational Time" (2019). Electrical and Computer Engineering Faculty Research and Publications. 546.
ADA Accessible Version
Accepted version. 2019 IEEE International Electric Machines & Drives Conference (IEMDC), (2019): 1895-1902. DOI. © 2019 Institute of Electrical and Electronic Engineers (IEEE). Used with permission.