TY - GEN
T1 - Efficiency Analysis and Optimization of Axial Flux Permanent Magnet Motor Based on Intelligent Response Surface Method for Robots
AU - Gao, Zeyuan
AU - Gong, Chao
AU - Lu, Jiadong
AU - Wang, Jingfeng
AU - Wang, Siyu
AU - Wang, Saibo
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper focuses on the efficiency analysis and optimization of the Yoke-less Axial-flux Synchronous Motor (YASA), a structured axial flux permanent magnet motor. Firstly, the advantages of the YASA motor, as a new motor topology, are introduced, including high power density, high torque density, efficiency, and a slim design. Secondly, using the YASA motor as an example, a three-dimensional electromagnetic field calculation model is established, and the effects of the slot filling factor, tooth shoe thickness, and tooth shoe width coefficient on motor efficiency are analyzed. By optimizing these design variables, the iron core loss and eddy current loss of the motor are systematically reduced using response surface methodology and genetic algorithms, significantly improving the motor's efficiency. Finally, finite element analysis is used to verify the feasibility of the optimized scheme on a 10-pole, 12-slot motor. The results show that the iron core loss and eddy current loss of the motor are reduced by 36.5% and 37.8%, respectively.
AB - This paper focuses on the efficiency analysis and optimization of the Yoke-less Axial-flux Synchronous Motor (YASA), a structured axial flux permanent magnet motor. Firstly, the advantages of the YASA motor, as a new motor topology, are introduced, including high power density, high torque density, efficiency, and a slim design. Secondly, using the YASA motor as an example, a three-dimensional electromagnetic field calculation model is established, and the effects of the slot filling factor, tooth shoe thickness, and tooth shoe width coefficient on motor efficiency are analyzed. By optimizing these design variables, the iron core loss and eddy current loss of the motor are systematically reduced using response surface methodology and genetic algorithms, significantly improving the motor's efficiency. Finally, finite element analysis is used to verify the feasibility of the optimized scheme on a 10-pole, 12-slot motor. The results show that the iron core loss and eddy current loss of the motor are reduced by 36.5% and 37.8%, respectively.
KW - YASA
KW - core loss
KW - eddy current loss
KW - slot fullness
KW - tooth-shoe thickness
KW - tooth-shoe width coefficients
UR - https://www.scopus.com/pages/publications/105024698393
U2 - 10.1109/IECON58223.2025.11221781
DO - 10.1109/IECON58223.2025.11221781
M3 - 会议稿件
AN - SCOPUS:105024698393
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025
Y2 - 14 October 2025 through 17 October 2025
ER -