Optimal Design APP of Surface Permanent Magnet Synchronous Motor for Electrical Scooter

Abstract

This thesis aims to develop an APP in which users can do the load analysis and the optimal design of surface permanent magnet synchronous motor for electrical scooter In this thesis a combination of Response Surface Methodology and Multi-objective Particle Swarm Optimization is proposed to maximize the output torque and minimize the torque ripple of the motor in order to improve the performance of the motor and the comfort of the electrical scooter The proposed Response Surface Methodology is built by running FEA simulations and combined with the Multi-objective Particle Swarm Optimization After the optimization the method is validated by comparison

Date of Award	2019
Original language	English
Supervisor	Min-Fu Hsieh (Supervisor)