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2000
Volume 18, Issue 7
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

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
2025-09-03

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References

  1. GuoL. XiaoS. WuS. WangH. Optimal design of hybrid consequent-pole permanent magnet motor to reduce torque ripple.Int. J. Appl. Electromagn. Mech.202270214917410.3233/JAE‑210096
     [Google Scholar]
  2. KwonJ. LeeS. KimB. KwonB. Investigation of variable flux Vernier machine.Int. J. Appl. Electromagn. Mech.201959391392010.3233/JAE‑171083
     [Google Scholar]
  3. MinS.G. Investigation of key parameters on cogging torque in permanent magnet machines based on dominant harmonic contents.IEEE Trans. Transp. Electrif.202410117418610.1109/TTE.2023.3257842
     [Google Scholar]
  4. ZhangZ. WangP. HuaW. ZhangT. WangG. HuM. Comprehensive investigation and evaluation of cogging torque suppression techniques of flux-switching permanent magnet machines.IEEE Trans. Transp. Electrif.2023933894390710.1109/TTE.2023.3248220
     [Google Scholar]
  5. ZhouY. JiJ. ZhaoW. ZhuS. LiuH. Modulated vibration reduction design for integral-slot interior permanent magnet synchronous machines.IEEE Trans. Ind. Electron.20226912122491226010.1109/TIE.2022.3146513
     [Google Scholar]
  6. WangX. WangZ. XuZ. ChengM. WangW. HuY. Comprehensive diagnosis and tolerance strategies for electrical faults and sensor faults in dual three-phase PMSM drives.IEEE Trans. Power Electron.20193476669668410.1109/TPEL.2018.2876400
     [Google Scholar]
  7. WangZ. HuangX. Design and preliminary optimization of a heat exchanger formed by additive manufacturing for outer-rotor PMSM.IEEE Trans. Energ. Convers.20243921383139310.1109/TEC.2023.3347514
     [Google Scholar]
  8. LiuY. HuangX. LiJ. YuW. Magnetic field analysis and thrust optimization of arc permanent magnet synchronous motor combined with linear mover and arc stator.IEEE Trans. Ind. Appl.20235955867587410.1109/TIA.2023.3276741
     [Google Scholar]
  9. BaeS.B. ChoiD.S. MinS.G. Artificial hunting optimization: A novel method for design optimization of permanent magnet machines.IEEE Trans. Transp. Electrif.20241023305331910.1109/TTE.2023.3293909
     [Google Scholar]
  10. XieB. ZhangY. XuZ. ZhangF. Rotor multidisciplinary optimization of high speed PMSM based on multi-fidelity surrogate model and gradient sequential sampling.IEEE Trans. Energ. Convers.202338285986810.1109/TEC.2022.3214992
     [Google Scholar]
  11. GuJ. HuaW. YuW. ZhangZ. ZhangH. Surrogate model-based multiobjective optimization of high-speed PM synchronous machine: Construction and comparison.IEEE Trans. Transp. Electrif.20239167868810.1109/TTE.2022.3173940
     [Google Scholar]
  12. ZangB. ChenY. Multiobjective optimization and multiphysics design of a 5 MW high-speed IPMSM used in FESS based on NSGA-II.IEEE Trans. Energ. Convers.202338281382410.1109/TEC.2022.3226872
     [Google Scholar]
  13. LaiC. FengG. IyerK.L.V. MukherjeeK. KarN.C. Genetic algorithm-based current optimization for torque ripple reduction of interior PMSMs.IEEE Trans. Ind. Appl.20175354493450310.1109/TIA.2017.2704063
     [Google Scholar]
  14. FengW. ZhangW. HuangS. A novel parameter estimation method for PMSM by using chaotic particle swarm optimization with dynamic self-optimization.IEEE Trans. Vehicular Technol.20237278424843210.1109/TVT.2023.3247729
     [Google Scholar]
  15. SunX. ShiZ. LeiG. GuoY. ZhuJ. Multi-objective design optimization of an IPMSM based on multilevel strategy.IEEE Trans. Ind. Electron.202168113914810.1109/TIE.2020.2965463
     [Google Scholar]
  16. DuG. XuW. ZhuJ. HuangN. Effects of design parameters on the multiphysics performance of high-speed permanent magnet machines.IEEE Trans. Ind. Electron.20206753472348310.1109/TIE.2019.2922933
     [Google Scholar]
  17. KhanM.A. HusainI. IslamM.R. KlassJ.T. Design of experiments to address manufacturing tolerances and process variations influencing cogging torque and back emf in the mass production of the permanent-magnet synchronous motors.IEEE Trans. Ind. Appl.201450134635510.1109/TIA.2013.2271473
     [Google Scholar]
  18. JiJ. YangY. LingZ. ZhaoW. Multi-objective optimization of interior permanent magnet machine for heavy-duty vehicle direct-drive applications.IEEE Trans. Energ. Convers.2022373110.1109/TEC.2022.3155160
     [Google Scholar]
  19. DebK. JainH. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: Solving problems with box constraints.IEEE Transactions on Evolutionary Computation,Aug. 2014, pp. 577-601.10.1109/TEVC.2013.2281535
     [Google Scholar]
  20. ZitzlerE. DebK. ThieleL. Comparison of multiobjective evolutionary algorithms: Empirical results.Evol. Comput.20008217319510.1162/10636560056820210843520
     [Google Scholar]
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Multi-objective Optimization of Fractional-slot Surface-mounted Permanent Magnet Motor for Flywheel Battery
Recent Advances in Electrical & Electronic Engineering 18, 1082 (2025); https://doi.org/10.2174/0123520965350377241010092232
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  • Article Type:     Research Article
Keyword(s): CCD; EMF; multi-objective; optimization design; Surface-mounted PMSM; torque performance

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