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

Ji-Chang Son, Myung-Ki Baek, Sang-Hun Park and Dong-Kuk Lim
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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

Energies, 2021, vol. 14, issue 13, 1-12

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.

Keywords: design optimization; finite element analysis (FEA); fuel cell electric vehicles (FCEVs); interior permanent magnet synchronous motors (IPMSMs); surrogate model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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