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Improved Immune Algorithm Combined with Steepest Descent Method for Optimal Design of IPMSM for FCEV Traction Motor

Author

Listed:
  • Ji-Chang Son

    (Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan 44610, Korea)

  • Myung-Ki Baek

    (Korea Electrotechnology Research Institute, Changwon-si 51543, Korea)

  • Sang-Hun Park

    (Korea Electrotechnology Research Institute, Changwon-si 51543, Korea)

  • Dong-Kuk Lim

    (Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan 44610, Korea)

Abstract

In this paper, an improved immune algorithm (IIA) was proposed for the torque ripple reduction optimal design of an interior permanent magnet synchronous motor (IPMSM) for a fuel cell electric vehicle (FCEV) traction motor. When designing electric machines, both global and local solutions of optimal designs are required as design result should be compared in various aspects, including torque, torque ripple, and cogging torque. To lessen the computational burden of optimization using finite element analysis, the IIA proposes a method to efficiently adjust the generation of additional samples. The superior performance of the IIA was verified through the comparison of optimization results with conventional optimization methods in three mathematical test functions. The optimal design of an IPMSM using the IIA was conducted to verify the applicability in the design of practical electric machines.

Suggested Citation

  • Ji-Chang Son & Myung-Ki Baek & Sang-Hun Park & Dong-Kuk Lim, 2021. "Improved Immune Algorithm Combined with Steepest Descent Method for Optimal Design of IPMSM for FCEV Traction Motor," Energies, MDPI, vol. 14(13), pages 1-12, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3904-:d:584579
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    References listed on IDEAS

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    1. Ji-Chang Son & Young-Rok Kang & Dong-Kuk Lim, 2020. "Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method," Energies, MDPI, vol. 13(13), pages 1-15, July.
    2. Chao Wu & Jun Yang & Qi Li, 2020. "GPIO-Based Nonlinear Predictive Control for Flux-Weakening Current Control of the IPMSM Servo System," Energies, MDPI, vol. 13(7), pages 1-21, April.
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