Optimal Design of IPMSM for Fuel Cell Electric Vehicles Using Autotuning Elliptical Niching Genetic Algorithm

To find multimodal solutions for the optimal design of an interior permanent magnet synchronous motor (IPMSM) for fuel cell electric vehicles, an autotuning elliptical niching genetic algorithm is proposed. With conventional autotuning niching genetic algorithms, some peaks are difficult to find bec...

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Bibliographic Details
Main Authors: Young-Rok Kang, Ji-Chang Son, Dong-Kuk Lim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9123890/