Spectrum Analysis and Optimization of the Axial Magnetic Gear with Halbach Permanent Magnet Arrays

Fang Hu, Yilan Zhou, Hesong Cui and Xiao Liu
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Fang Hu: College of Electrical and Information Engineering, Hunan University, Lushan South Road. Yuelu District, Changsha 410082, China
Yilan Zhou: College of Electrical and Information Engineering, Hunan University, Lushan South Road. Yuelu District, Changsha 410082, China
Hesong Cui: Beijing Electrical Research Institute for Technique and Economy MI, No. 188 West Section of South 4th Ring Road, Fengtai District, Beijing 100070, China
Xiao Liu: College of Electrical and Information Engineering, Hunan University, Lushan South Road. Yuelu District, Changsha 410082, China

Energies, 2019, vol. 12, issue 10, 1-18

Abstract: In order to study the contribution of each harmonic to the output torque and axial torque of the axial magnetic gear with Halbach permanent magnet arrays (HAMG), torque and axial force calculation formulas of the HAMG are proposed based on the air-gap flux density distribution of the HAMG. Because of the difference of the air-gap flux densities at different radii, two simplified torque and axial force calculation formulas are proposed and compared. To improve the torque capability of the HAMG, parametric analysis of eight dimensional parameters is firstly conducted. By parametric analysis, six parameters such as the inner radius have been found to have obvious impact on the output torque and output torque density of the HAMG. The optimization using Maxwell software is then executed for maximizing the output torque density of the HAMG. The output torque density of the optimized HAMG is improved from 78.1 kNm/m 3 to 93.3 kNm/m 3 with an increase of 19%. Furthermore, spectrum analysis is also presented to illustrate the significant output torque improvement based on the torque calculation formulas.

Keywords: axial magnetic gear; Halbach; parametric analysis; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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