Using hybrid Constricted Particles Swarm and simulated annealing algorithm for electric motor design

Electric Vehicles (Evs) represents a real alternative solution to the problem of the atmospheric pollution. However, the main inconvenients of an EV are the high cost and the low autonomy. In order to minimize cost and increase autonomy and efficiency of EV, we must reduce the weight and losses of its propulsion electric motor. In this paper, we have used Constricted Particle Swarm Optimization (PSO) algorithm combined with Simulated Annealing (SA) approach. This hybrid algorithm, called CPSO&SA, improves the design of an Inset Permanent Magnet Motor with Concentrated Flux. The numerical results show that our approach outperforms algorithms described in.