S. Tounsi,∗ R. N´ji,∗ and F. Sellami∗ e
This paper describes a motor-converter design methodology, improv- ing electric vehicles performances (EVP) such as autonomy, power to weight ratio and ripple torque under several physical, thermal and technological constraints. This methodology rests on the coupling of a parameterized analytical model of all the motor-converter to a software based on genetic algorithms method to optimize parameters influencing the EVP on circulation mission by respecting several physical and technological constraints of electric vehicles. The de- veloped analytical model covering several motor configurations is validated by the finite elements and experimental methods [1, 2].
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