TY - GEN
T1 - Design Optimization of PMSM for Electric Vehicles Based on an Intelligent Surrogate Model Selection Method
AU - Wang, Honglin
AU - Chen, Xiaokai
AU - Wang, Xiaoyu
AU - Li, Zhengyu
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - To optimize the performance of permanent magnet synchronous motor (PMSM), a multidisciplinary design optimization (MDO) method is proposed which considers both motor structure and controller design. Surrogate models are constructs to save computing resources and accelerate the optimization process. In order to solve the problem that the selection of surrogate model depends heavily on the experience of engineers, an intelligent surrogate model selection method (ISMSM) is proposed to obtain a proper surrogate model. Based on ISMSM and the MDO method, the PMSM design parameters are optimized, and the results show a significant improvement in overall performance.
AB - To optimize the performance of permanent magnet synchronous motor (PMSM), a multidisciplinary design optimization (MDO) method is proposed which considers both motor structure and controller design. Surrogate models are constructs to save computing resources and accelerate the optimization process. In order to solve the problem that the selection of surrogate model depends heavily on the experience of engineers, an intelligent surrogate model selection method (ISMSM) is proposed to obtain a proper surrogate model. Based on ISMSM and the MDO method, the PMSM design parameters are optimized, and the results show a significant improvement in overall performance.
KW - electric vehicles
KW - intelligent surrogate model selection method
KW - multidisciplinary design optimization
KW - PMSM
UR - http://www.scopus.com/inward/record.url?scp=85200218235&partnerID=8YFLogxK
U2 - 10.1109/CIEEC60922.2024.10583097
DO - 10.1109/CIEEC60922.2024.10583097
M3 - Conference contribution
AN - SCOPUS:85200218235
T3 - Proceedings of 2024 IEEE 7th International Electrical and Energy Conference, CIEEC 2024
SP - 2133
EP - 2137
BT - Proceedings of 2024 IEEE 7th International Electrical and Energy Conference, CIEEC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Electrical and Energy Conference, CIEEC 2024
Y2 - 10 May 2024 through 12 May 2024
ER -
