Abstract

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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.