Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method

Ji-Chang Son, Young-Rok Kang and Dong-Kuk Lim
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Ji-Chang Son: School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea
Young-Rok Kang: School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea
Dong-Kuk Lim: School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea

Energies, 2020, vol. 13, issue 13, 1-15

Abstract: In this paper, the Novel Immune Algorithm (NIA) is proposed for an optimal design of electrical machines. By coupling the conventional Immune Algorithm and Steepest Descent Method, the NIA can perform fast and exact convergence to both global solutions and local solutions. Specifically, the concept of an antibody radius is newly introduced to improve the ability to navigate full areas effectively and to find new peaks by excluding already searched areas. The validity of the NIA is confirmed by mathematical test functions with complex objective function regions. The NIA is applied to an optimal design of an interior permanent magnet synchronous motor for fuel cell electric vehicles and to derive an optimum design with diminished torque ripple.

Keywords: fuel cell electric vehicle (FCEV); interior permanent magnet synchronous motor (IPMSM); multi-modal optimization; Novel Immune Algorithm (NIA); optimal design (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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