Use of evolutionary approach for multiobjective optimization of losses and mass in permanent magnet motor

Abstract EN

For Electric Vehicles (EVs), Weight and losses reduction are important factors not only in reducing the energy consumption and cost but also in increasing autonomy.

Electric motor system is one of the key parts of electric vehicle that is why it is necessary to do some research on EVs performance evaluation by reducing its losses and mass.

In this paper, we propose an approach based on the copulate between an Evolutionary Algorithm (EA) and an analytical model of electric motor in order to reduce its losses and mass which are the objectives functions in a multi objective problem (MOP).

In this study, the weighted sum based approaches to multi objective optimization is used because it is computationally very efficient.

Also, Analytical simulation results for the multi objective optimization are exhibited.