Title :
Design optimization of 8/14 switched reluctance machine for electric vehicle
Author :
M. Ćosović;S. Smaka;I. Salihbegović;Š. Mašić
Author_Institution :
University of Sarajevo, Faculty of Electrical Engineering, 71000 Sarajevo, Bosnia and Herzegovina
Abstract :
Analysis and static characteristics optimization of the new four-phase switched reluctance machine with 8 stator and 14 rotor poles (SRM 8/14) is presented in this paper. This new configuration with higher number of rotor poles is considered to be suitable for high performance electric vehicle (EV) drives. Optimization variables were the stator and rotor poles arc angles, and the taper angle of the stator poles. The optimization objectives were to minimize torque ripple and maximize torque factor, torque quality factor, torque density and losses factor. Calculation of the static characteristics and optimization is performed by a combination of high-level technical computing language Matlab and 2D FEM software Ansoft Maxwell. The genetic algorithm (GA) is used for minimizing a weighted sum of five normalized objectives.
Keywords :
"Torque","Rotors","Optimization","Stator windings","Reluctance motors","Genetic algorithms"
Conference_Titel :
Electrical Machines (ICEM), 2012 XXth International Conference on
Print_ISBN :
978-1-4673-0143-5
DOI :
10.1109/ICElMach.2012.6350260