Title :
Induction motor design for electric vehicle using a niching genetic algorithm
Author :
Cho, Dong-Hyeok ; Jung, Hyun-Kyo ; Lee, Cheol-Gyun
Author_Institution :
Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
Abstract :
In case of the shape or structural optimization of induction motor design, it is needed to identify a multiple optimal profile by locating local optima as well as global. Niching methods extend genetic algorithms to the domain that require the location and maintenance of multiple solutions. In this paper, optimal design of induction motors for electric vehicles (EV) using a niching method adopting restricted competition selection (RCS) is proposed. The evaluation criteria, the standard of the best design selection, are also presented
Keywords :
electric machines; genetic algorithms; induction motor drives; machine theory; traction motor drives; best design selection standard; electric vehicle; evaluation criteria; induction motor design; multiple optimal profile identification; niching genetic algorithm; restricted competition selection; shape optimization; structural optimization; Algorithm design and analysis; Coils; Electric vehicles; Genetic algorithms; Induction motors; Manufacturing; Organisms; Shape; Stators; Transient analysis;
Conference_Titel :
Electric Machines and Drives, 1999. International Conference IEMD '99
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-5293-9
DOI :
10.1109/IEMDC.1999.769095