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image of Multi-objective Optimization of Fractional-Slot Surface-Mounted Permanent Magnet Motor for Flywheel Battery

Abstract

Background

With the continuous development of permanent magnet synchronous motors (PMSM) and the increasing demand for the application of flywheel battery, the requirements for PMSMs are also increasing.

Methods

A multi-objective genetic algorithm is used to solve the optimal design solution.

Results

Multi-objective genetic algorithm is fast and accurate in calculation results, and it is easy to obtain the optimal solution. The results show that the cogging torque is reduced by 23.6%, the torque ripple is reduced by 25%, and the average torque is increased by 1.2%.

Conclusion

A multi-objective optimization design was conducted on a surface-mounted PMSM. Firstly, the sensitivity of different optimization variables was calculated. The high-sensitivity parameters were selected as the final optimization variables. The response surface between the optimization variables and the optimization objectives was calculated. The genetic algorithm was used to solve the optimal design solution. The effectiveness of the optimization results was verified by the combination of finite element simulation and experimental tests.

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2025-01-06
2025-06-01

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/content/journals/raeeng/10.2174/0123520965350377241010092232
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Multi-objective Optimization of Fractional-Slot Surface-Mounted Permanent Magnet Motor for Flywheel Battery
Bentham Science Publishers ; https://doi.org/10.2174/0123520965350377241010092232
/content/journals/raeeng/10.2174/0123520965350377241010092232
/content/journals/raeeng/10.2174/0123520965350377241010092232
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  • Article Type:     Research Article
Keywords: multi-objective ; optimization design ; Surface-mounted PMSM ; torque performance

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