Design and optimization of permanent magnet synchronous motor for electric and hybrid vehicles

This dissertation focuses on the design, analysis, and optimization of a permanent magnet synchronous motor (PMSM) used for energy vehicles aimed at high-performance applications. The research begins with a thorough investigation into the current state of PMSMs, emphasizing their importance in energ...

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Bibliographic Details
Main Author: Li, Ouhang
Other Authors: Christopher H. T. Lee
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/180012
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Institution: Nanyang Technological University
Language: English
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Summary:This dissertation focuses on the design, analysis, and optimization of a permanent magnet synchronous motor (PMSM) used for energy vehicles aimed at high-performance applications. The research begins with a thorough investigation into the current state of PMSMs, emphasizing their importance in energy conservation and their widespread adoption in new energy vehicles. The main focus is on improving motor performance through finite element analysis (FEA), specifically for four key optimization criteria: maximum average torque, minimum torque ripple, maximum permanent magnet utilization and power factor. The motor model is characterized by a 24-slot stator and an 8-pole rotor, and the optimal configuration is determined by detailed parameter analysis. Key design parameters such as stator bore, stator tooth width, stator yoke thickness, permanent magnet (PM) thickness, and PM arc are carefully varied within specified ranges to achieve the desired performance enhancements. Simulation results include no-load flux density distribution, no-load back electromotive force (EMF), slot torque and electromagnetic torque. According to the normalization method, the four standards are parameterized in equal proportions, and the motor design scheme that meets the optimal solution of the four standards as far as possible is obtained - Case 158. The results reveal that the designed motor exhibits higher efficiency and power factor in simulations compared to the TECO motor, highlighting potential areas for improvement in real-world applications.