volume | PIER Journals

Abstract

Aiming at the problems of low ability of speed control by means of magnetic field weakening of surface-mounted permanent magnet synchronous motor and large torque pulsation and more magnetic leakage of interior permanent magnet synchronous motor, a new structure of surface-mounted and interior hybrid permanent magnet synchronous motor is proposed. By establishing a finite element model of the motor and simulating it, and comparing the electromagnetic characteristic curves of the motor after simulation with those of the surface-mounted permanent magnet synchronous motor and interior permanent magnet synchronous motor, the results show that the motor proposed in this paper has the advantages of both good weak magnetic performance and higher torque output. In the optimization of surface-mounted and interior hybrid permanent magnet synchronous motor, with the goal of achieving high torque value, low torque ripple, and low cogging torque, a multi-objective optimization strategy combining genetic algorithm (GA) optimized back-propagation (BP) network and non-dominated sorting genetic algorithm (NSGA-II) is adopted. Firstly, a comprehensive sensitivity analysis of the degree of influence of the design variables on the optimization objective is carried out, based on which the parameter variables are stratified, and then an accurate prediction model of the parameter variables and optimization objective is established by using GA-BP. Finally, the multi-objective optimization is carried out by NSGA-II, and the optimal design is selected from the generated Pareto frontiers. After comparing the electromagnetic performances of the motor before and after optimization, the effectiveness as well as the superiority of the multi-objective optimization design method is verified.

1. Song, Cheon-Ho, In-Soo Song, Hui-Seong Shin, Chung-Hui Lee, and Ki-Chan Kim, "A design of IPMSM for high-power electric vehicles with wide-field-weakening control region," IEEE Transactions on Magnetics, Vol. 58, No. 2, 1-5, 2021. Google Scholar

2. Cho, Seong-Kook, Kyung-Hun Jung, and Jang-Young Choi, "Design optimization of interior permanent magnet synchronous motor for electric compressors of air-conditioning systems mounted on EVs and HEVs," IEEE Transactions on Magnetics, Vol. 54, No. 11, 1-5, 2018.
doi:The server didn't respond in time. Google Scholar

3. Kim, Dong-Ho, Kwang Soo Kim, In-Jun Yang, Ju Lee, and Won-Ho Kim, "Alternative bridge spoke permanent magnet synchronous generator design for wind power generation systems," IEEE Access, Vol. 9, 152819-152828, 2021. Google Scholar

4. Chai, Feng, Yi Li, Peixin Liang, and Yulong Pei, "Calculation of the maximum mechanical stress on the rotor of interior permanent-magnet synchronous motors," IEEE Transactions on Industrial Electronics, Vol. 63, No. 6, 3420-3432, 2016. Google Scholar

5. Wang, Xiao-Yuan, Xiao-Yu He, and Peng Gao, "Research on electromagnetic vibration and noise reduction method of V type magnet rotor permanent magnet motor electric vehicles," Proceedings of the CSEE, Vol. 39, No. 16, 4919-4926, 2019. Google Scholar

6. Wang, Daohan, "Research on a novel interior permanent magnet machine with segmented rotor to mitigate torque ripple and electromagnetic vibration," Proceedings of the CSEE, Vol. 42, No. 14, 5289-5299, 2022. Google Scholar

7. Chai, Wenping and Byung-Il Kwon, "A magnetic pole modulation method on surface permanent magnet machines for high performances with different magnetization," IEEE Access, Vol. 7, 79839-79849, 2019. Google Scholar

8. Yang, Yee-Pien and Ming-Tsan Peng, "A surface-mounted permanent-magnet motor with sinusoidal pulsewidth-modulation-shaped magnets," IEEE Transactions on Magnetics, Vol. 55, No. 1, 1-8, 2018. Google Scholar

9. Xie, Xuekun, Chendong Liao, and Zhuoran Zhang, "Design considerations of high-speed PMSM with nonuniform two-segment Halbach magnet array," IEEE Transactions on Magnetics, Vol. 60, No. 9, 1-6, 2024. Google Scholar

10. Chen, Zhenfei, Changliang Xia, Qiang Geng, and Yan Yan, "Modeling and analyzing of surface-mounted permanent-magnet synchronous machines with optimized magnetic pole shape," IEEE Transactions on Magnetics, Vol. 50, No. 11, 1-4, 2014. Google Scholar

11. Xie, Bingchuan, Yue Zhang, Zhenyao Xu, Fengge Zhang, and Wenhui Liu, "Review on multidisciplinary optimization key technology of electrical machine based on surrogate models," Transactions of China Electrotechnical Society, Vol. 37, No. 20, 5117-5143, 2022. Google Scholar

12. Chen, Hao and Christopher H. T. Lee, "Parametric sensitivity analysis and design optimization of an interior permanent magnet synchronous motor," IEEE Access, Vol. 7, 159918-159929, 2019. Google Scholar

13. Wang, Xu, Ying Fan, Xingchi Lu, Qiushuo Chen, and Christopher H. T. Lee, "Multiobjective optimization of a dual stator brushless hybrid excitation motor based on response surface model and NSGA 2," IEEE Transactions on Industry Applications, Vol. 58, No. 5, 6105-6114, 2022. Google Scholar

14. Chu, Jinlong, He Cheng, Junhang Sun, Cheng Peng, and Yihua Hu, "Multi-objective optimization design of hybrid excitation double stator permanent magnet synchronous machine," IEEE Transactions on Energy Conversion, Vol. 38, No. 4, 2364-2375, 2023. Google Scholar

15. Hua, Yizhou, Yichen Liu, Wei Pan, Xiaoyan Diao, and Huangqiu Zhu, "Multi-objective optimization design of bearingless permanent magnet synchronous motor using improved particle swarm optimization algorithm," Proceedings of the CSEE, Vol. 43, No. 11, 4443-4451, 2023. Google Scholar

16. Guo, X., N. W. Gong, Q. J. Wang, Y. Weng, and T. Wu, "Optimization electrifying strategy of permanent magnet spherical motor based on random forests," Control Engineering of China, Vol. 28, No. 6, 1100-1107, 2021. Google Scholar

17. Bao, Y., Y. Cheng, and J. Tian, "Multi-objective optimization of electromagnetic structure of high-speed permanent magnet synchronous motor for vehicles," Machine Tool and Hydraulics, Vol. 52, No. 20, 42-47, 2024. Google Scholar

18. Kwon, Min-Su and Dong-Kuk Lim, "A study on the optimal design of PMa-SynRM for electric vehicles combining random forest and genetic algorithm," IEEE Access, Vol. 11, 52357-52369, 2023. Google Scholar

19. Asanuma, Jo, Shuhei Doi, and Hajime Igarashi, "Transfer learning through deep learning: Application to topology optimization of electric motor," IEEE Transactions on Magnetics, Vol. 56, No. 3, 1-4, 2020. Google Scholar

20. Son, Byungkwan, Jin-Seok Kim, Jong-Wook Kim, Yong-Jae Kim, and Sang-Yong Jung, "Adaptive particle swarm optimization based on kernel support vector machine for optimal design of synchronous reluctance motor," IEEE Transactions on Magnetics, Vol. 55, No. 6, 1-5, 2019. Google Scholar

21. Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, 182-197, 2002.
doi:10.1109/4235.996017 Google Scholar

Mr. Aikang Xu

Dr. Chaozhi Huang

Dr. Bo Yi

Dr. Fangrong Wang

Dr. Zhifeng Liu