- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | ZHANG Weiyu, LI Kai, YANG Xin. Multi-Objective Optimization for Flywheel Motors Based on Parameter Priority Division[J]. Journal of Southwest Jiaotong University, 2023, 58(4): 922-932. doi: 10.3969/j.issn.0258-2724.20220845
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This paper aims to improve the torque performance of a flywheel motor and reduce its permanent magnet cost. Firstly, according to the operating mode of the flywheel battery, the design requirements of the flywheel motor were proposed, and the output torque, torque ripple, and consumption of permanent magnets were selected as the design objectives. On this basis, the equivalent magnetic circuit method and finite element method were used to calculate the main size and performance of the motor, and the appropriate number of slots and poles and initial structural parameters were determined. Secondly, the correlation coefficient method was utilized to analyze the correlation between the structural parameters of the motor and the optimization objectives, and the priority of rotor sizes and stator sizes was divided reasonably. Finally, the finite element surrogate model and the multi-objective optimization algorithm, namely the non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) were used to optimize the design parameters step by step, and the correctness of optimization results was verified by the field-circuit co-simulation method and prototype experiment. The results show that the proposed method of parameter priority division can reduce the sampling of data points in the optimization process and shorten the time of finite element analysis in the whole process. After optimization, the back electromotive force of the motor is more trapezoidal. The torque ripple is reduced by 40%, and the consumption of permanent magnets is reduced by 8%.
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