A Study of Electrical Motors Controlling Optimization Methods.

In order to design an efficient motor cooling system, it is important to accurately predict the power optimization which is normally dissipated in form of heat. This study presents an analytical method for estimating bearing frictional optimization and numerical method for estimating electromagnetic optimization for an electric vehicle electrical motor. The power optimization obtained use heat sources when evaluating the thermal performance of the motor. The results showed that electromagnetic optimization are dominant and contributed over 80% of all optimization, while bearing optimization contributes about 2% of the total electric motor. The results also showed that bearing optimization increase significantly with increasing speed or load.