Simulation analysis of cogging torque of permanent magnet synchronous motor for electric vehicle

• Published in: Journal of mechanical science and technology Vol. 26; no. 12; pp. 4065 - 4071
• Main Authors: Chen, Qiping, Shu, Hongyu, Chen, Limin
• Format: Journal Article
• Language: English
• Published: Heidelberg Korean Society of Mechanical Engineers 01.12.2012; Springer Nature B.V; 대한기계학회
• Subjects: Applied sciences; Cogging; Control; D.c. Machines; Dynamical Systems; Electric vehicles; Electrical engineering. Electrical power engineering; Electrical machines; Engineering; Exact sciences and technology; Industrial and Production Engineering; Mathematical models; Mechanical Engineering; Mechanical engineering. Machine design; Motors; Mouth; Permanent magnets; Synchronous motors; Torque; Vibration; 기계공학; Cogging torque; Finite element method; Electric vehicle; Permanent magnet synchronous motor; Simulation; Energy method; Wheel; Motor car; Electromagnetism; Fourier series; Modeling; Synchronous motor; Comfort; Slot; Electric motor; Permanent magnet; Regularity
• ISSN: 1738-494X; 1976-3824
• DOI: 10.1007/s12206-012-0903-8

This paper proposes a new approach to study generation mechanism and influence factors of cogging torque of permanent magnet synchronous motors, in order to improve the operational performance and riding comfort of electric vehicle. Based on energy method and Fourier expansion, the method of predicting cogging torque is proposed. Two-dimensional finite element model of in-wheel motor is established by Maxwell software, and electromagnetic character of that is analyzed. Skew slot, pole arc coefficient and width of slot mouth are analyzed and studied by finite element method, in order to realize the change regularity of cogging torque. Cogging torque curves under the different skew slots, the different pole arc coefficients and the different widths of slot mouth are obtained, which can effectively reduce the cogging torque of in-wheel motor, but they still exists some limitations. The final simulation analysis results are in good agreement with the theoretical predicting results, which indicates that this method can be used to afford a theoretical basis to reduce the cogging torque and optimize the in-wheel motor of electric vehicle in the future.