The influence of driving cycle characteristics on motor optimisation for electric vehicles

Abstract

Under regulated conditions, a driving cycle forecasts the electric vehicle's range and different driving cycles can substantially impact the vehicle's performance.By evaluating a suggested compact electric car, the impacts of several driving cycle types on battery sizing and motor optimisation convergence are investigated in this article.Matlab and Ansys Electronics are used to conduct the simulations. The energy consumption of four driving cycles is estimated using a vehicle dynamic model to estimate the required autonomy , on which is based on the storage system sizing .The Motor model is constructed using the finite element software Ansys electronics. Its geometrical parameters will be determined using an optimisation algorithm while considering the new power and torque demands, including the storage system weight.The genetic algorithm is used for the optimisation process to minimise the motor's losses.