LAPSE:2023.4026
Published Article

LAPSE:2023.4026
Analytical Modeling and Comparison of Two Consequent-Pole Magnetic-Geared Machines for Hybrid Electric Vehicles
February 22, 2023
Abstract
The exact mathematical modeling of electric machines has always been an effective tool for scholars to understand the working principles and structure requirements of novel machine topologies. This paper provides an analytical modeling method—the harmonic modeling method (HMM)—for two types of consequent-pole magnetic-geared machines, namely the single consequent-pole magnetic-geared machine (SCP-MGM) and the dual consequent-pole magnetic-geared machine (DCP-MGM). By dividing the whole machine domain into different ring-like subdomains and solving the Maxwell equations, the magnetic field distribution and electromagnetic parameters of the two machines can be obtained, respectively. The two machines were applied in the propulsion systems of hybrid electric vehicles (HEVs). The electromagnetic performances of two machines under different operating conditions were also compared. It turns out that the DCP-MGM can reach a larger electromagnetic torque compared to that of the SCP-MGM under the same conditions. Finally, the predicted results were verified by the finite element analysis (FEA). A good agreement can be observed between HMM and FEA. Furthermore, HMM can also be applied to the mathematical modeling of other consequent-pole electric machines in further study.
The exact mathematical modeling of electric machines has always been an effective tool for scholars to understand the working principles and structure requirements of novel machine topologies. This paper provides an analytical modeling method—the harmonic modeling method (HMM)—for two types of consequent-pole magnetic-geared machines, namely the single consequent-pole magnetic-geared machine (SCP-MGM) and the dual consequent-pole magnetic-geared machine (DCP-MGM). By dividing the whole machine domain into different ring-like subdomains and solving the Maxwell equations, the magnetic field distribution and electromagnetic parameters of the two machines can be obtained, respectively. The two machines were applied in the propulsion systems of hybrid electric vehicles (HEVs). The electromagnetic performances of two machines under different operating conditions were also compared. It turns out that the DCP-MGM can reach a larger electromagnetic torque compared to that of the SCP-MGM under the same conditions. Finally, the predicted results were verified by the finite element analysis (FEA). A good agreement can be observed between HMM and FEA. Furthermore, HMM can also be applied to the mathematical modeling of other consequent-pole electric machines in further study.
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Keywords
analytical modeling, electromagnetic performance, harmonic modeling method, hybrid electric vehicle, magnetic field, magnetic-geared machine
Subject
Suggested Citation
Zhao H, Liu C, Song Z, Yu J. Analytical Modeling and Comparison of Two Consequent-Pole Magnetic-Geared Machines for Hybrid Electric Vehicles. (2023). LAPSE:2023.4026
Author Affiliations
Zhao H: School of Energy and Environment, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China; Shenzhen Research Institute, City University of Hong Kong, Nanshan District, Shenzhen 518057, China [ORCID]
Liu C: School of Energy and Environment, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China; Shenzhen Research Institute, City University of Hong Kong, Nanshan District, Shenzhen 518057, China
Song Z: School of Energy and Environment, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China; Shenzhen Research Institute, City University of Hong Kong, Nanshan District, Shenzhen 518057, China [ORCID]
Yu J: School of Energy and Environment, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China; Shenzhen Research Institute, City University of Hong Kong, Nanshan District, Shenzhen 518057, China
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Liu C: School of Energy and Environment, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China; Shenzhen Research Institute, City University of Hong Kong, Nanshan District, Shenzhen 518057, China
Song Z: School of Energy and Environment, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China; Shenzhen Research Institute, City University of Hong Kong, Nanshan District, Shenzhen 518057, China [ORCID]
Yu J: School of Energy and Environment, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China; Shenzhen Research Institute, City University of Hong Kong, Nanshan District, Shenzhen 518057, China
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Journal Name
Energies
Volume
12
Issue
10
Article Number
E1888
Year
2019
Publication Date
2019-05-17
ISSN
1996-1073
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PII: en12101888, Publication Type: Journal Article
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LAPSE:2023.4026
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https://doi.org/10.3390/en12101888
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