Motor Variants for Light EV Optimized based on Hybrid Evolutionary Algorithm

The paper depicts an design approach for the proposition of a new propulsion unit for a light electric vehicle (EV). For the given main data of the application, four motor variants are studied, numerically evaluated based on finite element method (FEM) and compared in terms of performances. The best suited variant is finally optimized based on evolutionary algorithm and numerically validated with respect to the application demands.