An induction motor loss Optimization approach using JMAG and MATLAB for an electric vehicle

Abstract

An electric motor can be considered as the heart of an electric vehicle, especially for a pure electric vehicle, where it provides sufficient torque for it to move. So, it is very important that all the aspects related to the electric motor should be carefully designed and modelled. In the case of a pure electric vehicle, the motor losses are the major contributor among all other losses. So, it becomes inevitable to minimize those losses and extract maximum possible efficiency, in order to prominently reduce the energy consumption of the vehicle. In this paper, an overall optimized loss equation of an Induction motor is proposed. Modified Particle Swarm Optimization is applied to get the desired value of stator flux reference, electromagnetic torque, and operating speed such that the motor losses are minimum. These values can be employed as reference control signals to implement control strategies of a power train in an electric vehicle. The optimization is realistically validated by obtaining the required motor parameters that are commercially available from JMAG, in order to have good accuracy and reliability.