A Permanent Magnet Assembling Approach to Mitigate the Cogging Torque for Permanent Magnet Machines Considering Manufacturing Uncertainties

Haipeng Liu, Xin Jin, Nicola Bianchi, Gerd Bramerdorfer, Pengzhong Hu, Chengning Zhang and Yongxi Yang
Additional contact information
Haipeng Liu: School of Mechanical and Vehicle Engineering, Beijing Institute of Technology, Beijing 100081, China
Xin Jin: Beijing Institute of Space Launch Technology, Beijing 100076, China
Nicola Bianchi: Department of Industrial Engineering, University of Padova, 35122 Padova, Italy
Gerd Bramerdorfer: Department of Electrical Drives and Power Electronics, Johannes Kepler University Linz, 4040 Linz, Austria
Pengzhong Hu: Shenzhen Longood Intelligent Electric Co., Ltd., Shenzhen 518108, China
Chengning Zhang: School of Mechanical and Vehicle Engineering, Beijing Institute of Technology, Beijing 100081, China
Yongxi Yang: School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China

Energies, 2022, vol. 15, issue 6, 1-19

Abstract: Conventionally, the small mean and variance of peak-to-peak cogging torque of permanent magnet (PM) machines considering manufacturing uncertainties can be achieved by a robust design or by reducing the uncertainties range. However, the consequent compromise of other design objectives or the increase in the manufacturing costs are frequently inevitable. In this paper, the combination sequence of the uncertainties is highlighted and implemented to achieve a stable performance even for a non-robust design without increasing the cost too much. A PM assembling approach is proposed to mitigate the influences of PM uncertainties on cogging torque by means of combining the uncertainties in a particular sequence, where the effects of uncertainties would counteract each other. Both the singular type of PM uncertainties and the combined ones are considered in the assembling approach. Furthermore, the proposed approach is verified by comparing the cogging torque performance with PM randomly assembled models, where several hundreds of models featuring different uncertainties are calculated through the finite element method. The proposed approach is discussed, particularly for the application of mass production and a small amount of prototypes. Two prototypes with different PM assembling sequences are fabricated and further verify the effectiveness of the proposed PM assembling approach.

Keywords: motor design; robust assembling approach; combination sequence of uncertainties; cogging torque reduction; PM uncertainties (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
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