Multi-Objective Optimization Design of a Stator Coreless Multidisc Axial Flux Permanent Magnet Motor

Changchuang Huang, Baoquan Kou, Xiaokun Zhao, Xu Niu and Lu Zhang
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Changchuang Huang: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150080, China
Baoquan Kou: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150080, China
Xiaokun Zhao: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150080, China
Xu Niu: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150080, China
Lu Zhang: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150080, China

Energies, 2022, vol. 15, issue 13, 1-13

Abstract: The stator coreless axial flux permanent magnet (AFPM) motor with a compact structure, low torque ripple, and high efficiency is particularly suitable as a motor for electric propulsion systems. However, it still requires great effort to design an AFPM motor with higher torque density and lower torque ripple. In this paper, a stator coreless multidisc AFPM (SCM-AFPM) motor with a three-rotor and two-stator topology is proposed. To reduce rotor mass and increase torque density, the proposed SCM-AFPM motor adopts the hybrid permanent magnets (PMs) array with Halbach PMs in the two-terminal rotor and the conventional PMs array in the middle rotor. In addition, a multi-objective optimization model combining response surface method (RSM) and genetic algorithm (GA) is proposed and applied to the proposed SCM-AFPM motor. With the help of the three-dimensional finite-element analysis (3-D FEA), it is found that the torque ripple of the optimized SCM-AFPM motor is 4.73%, while it is 6.21% for the initial motor. Its torque ripple is reduced by 23.8%. Therefore, the proposed multi-objective optimization design method can quickly and reliably obtain the optimal design of the SCM-AFPM motor.

Keywords: axial flux permanent magnet motor; multi-objective optimization; finite-element method; response surface method; genetic algorithm (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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