Title :
Induction motor design for electric vehicle using a niching genetic algorithm
Author :
Cho, Dong-Hyeok ; Jung, Hyun-Kyo ; Lee, Cheol-Gyun
Author_Institution :
Dept. of Electr. Eng., Seoul Nat. Univ., South Korea
Abstract :
In the case of the shape or structural optimization of induction motor design, it is necessary to identify multiple optimal profiles by locating local optima as well as global. Niching methods extend genetic algorithms to domains that require the location and maintenance of multiple solutions. In this paper, optimal design of an induction motor for an electric vehicle using a niching method adopting restricted competition selection is proposed. The evaluation criteria and the standards of the best design selection are also presented
Keywords :
electric vehicles; genetic algorithms; induction motors; machine theory; traction motors; competition selection; design selection; electric vehicle; evaluation criteria; global optima location; induction motor design; local optima location; multiple optimal profiles; niching genetic algorithm; shape optimization; structural optimization; Algorithm design and analysis; Coils; Electric machines; Electric vehicles; Genetic algorithms; Induction motors; Manufacturing; Shape; Stators; Transient analysis;
Journal_Title :
Industry Applications, IEEE Transactions on
