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Optimal Design of an Axial Flux Permanent Magnet Synchronous Motor for the Electric Bicycle
- Authors
- Lim, DK[Lim, Dong-Kuk]; Cho, YS[Cho, Yong-Sun]; Ro, JS[Ro, Jong-Suk]; Jung, SY[Jung, Sang-Yong]; Jung, HK[Jung, Hyun-Kyo]
- Issue Date
- Mar-2016
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Citation
- IEEE TRANSACTIONS ON MAGNETICS, v.52, no.3
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON MAGNETICS
- Volume
- 52
- Number
- 3
- ISSN
- 0018-9464
- Abstract
- Design of an electric machine such as the axial flux permanent magnet synchronous motor (AFPMSM) requires a 3-D finite-element method (FEM) analysis. The AFPMSM with a 3-D FEM model involves too much time and effort to analyze. To deal with this problem, we apply a surrogate assisted multi-objective optimization (SAMOO) algorithm that can realize an accurate and well-distributed Pareto front set with a few number of function calls, and considers various design variables in the motor design process. The superior performance of the SAMOO is verified by comparing it with conventional multi-objective optimization algorithms in a test function. Finally, the optimal design result of the AFPMSM for the electric bicycle is obtained by using the SAMOO algorithm.
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Related Researcher
- JUNG, SANG YONG
- Information and Communication Engineering (Electronic and Electrical Engineering)