Multiobjective optimal design of a voltage supply inverter fed in-wheel synchronous motor

This paper deals with the multiobjective optimal design of a voltage supply inverter (VSI) fed in-wheel motor for urban electric vehicles (EVs) using genetic algorithms (GAs). The proposed motor is an axial flux permanent magnet (AFPM) synchronous sine-wave motor. This type of motor can be directly integrated into the wheel without mechanical transmission and differential gears. The design problem requires minimizing the weights and the losses of the motor and the VSI. The simultaneous optimization of the in-wheel motor and its own VSI results in a system optimized towards the requirements of the EV.

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