Investigation of the End Leakage Flux in Fractional Slot Concentrated-Winding Surface Permanent Magnet Machines

• Published in: IEEE access Vol. 7; pp. 77750 - 77761
• Main Authors: Chen, Xianbao, Shu, Hongyu, Song, Yitong, Luo, Shuang, Guo, Cheng
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Air gaps; End leakage flux; end leakage flux function; Finite element analysis; Finite element method; Flux; fractional slot concentrated-winding surface permanent magnet (FSCWSPM) machine; Inductance; Leakage; Magnetic fields; parametric model; Parametric statistics; Permanent magnets; Power capacitors; Regression analysis; Regression models; Rotors; Stators; Two dimensional models; Winding
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2019.2922320

When the end leakage flux or end leakage inductance cannot be ignored in a permanent magnet (PM) machine (e.g., a PM machine with a short axial length), the analysis of the machine is a time-consuming three-dimensional (3-D) issue. Existing research has made the end leakage inductance no longer to hinder that the performance calculation of fractional slot concentrated-winding surface permanent magnet (FSCWSPM) machines is simplified into a time-saving 2-D issue. However, no such mature research exists for end leakage flux. This paper proposes a novel end leakage flux function that can be used to accurately quantify the end leakage flux of FSCWSPM machines. Then, based on sensitivity research and regression analysis, a parametric model is established to quickly construct the end leakage flux function. Thus, even for FSCWSPM machines with nonnegligible end leakage flux, the results comparable to those from the 3-D finite element method (FEM) can be easily obtained using the proposed end leakage flux function and parametric model to revise the results from 2-D FEM. Moreover, the application of the above function and model is briefly described. Finally, FEM and experimental results are used to verify the calculation precision, adaptability, and timeliness of the proposed methodology.