LAPSE:2019.0164
Published Article
LAPSE:2019.0164
Analytical Model of a Dual Rotor Radial Flux Wind Generator Using Ferrite Magnets
Peifeng Xu, Kai Shi, Yuxin Sun, Huangqiu Zhu
January 31, 2019
This paper presents a comprehensive analytical model for dual rotor radial flux wind generators based on the equivalent magnetic circuit method. This model is developed to predict the flux densities of the inner and outer air gaps, flux densities of the rotor and stator yokes, back electromotive force (EMF), electromagnetic torque, cogging torque, and some other characteristics important for generator design. The 2D finite element method (FEM) is employed to verify the presented analytical model, fine-tune it, and validate the prediction precision. The results show that the errors between the proposed analytical model and the FEM results are less than 5% and even less than 1% for certain parameters, that is, the results obtained from the proposed analytical model match well the ones obtained from FEM analysis. Meanwhile, the working points at different temperatures are confirmed to exceed the knee point of the BH curve, which means that irreversible demagnetization does not occur. Finally, the optimization by FEM with the objective of fully using the inner space of the generator, decreasing the cogging torque, and reducing the total harmonic distortion (THD) of back EMF is performed.
Keywords
analytical model, dual rotor radial flux wind generator, equivalent magnetic circuit, ferrite magnets, finite element method, Optimization
Suggested Citation
Xu P, Shi K, Sun Y, Zhu H. Analytical Model of a Dual Rotor Radial Flux Wind Generator Using Ferrite Magnets. (2019). LAPSE:2019.0164
Author Affiliations
Xu P: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Shi K: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China [ORCID]
Sun Y: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Zhu H: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
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Journal Name
Energies
Volume
9
Issue
9
Article Number
E672
Year
2016
Publication Date
2016-08-24
Published Version
ISSN
1996-1073
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PII: en9090672, Publication Type: Journal Article
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LAPSE:2019.0164
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doi:10.3390/en9090672
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Jan 31, 2019
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Calvin Tsay
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