LAPSE:2023.6700
Published Article
LAPSE:2023.6700
Measurement and Modeling of Magnetic Materials under 3D Vectorial Magnetization for Electrical Machine Design and Analysis
Youguang Guo, Lin Liu, Xin Ba, Haiyan Lu, Gang Lei, Wenliang Yin, Jianguo Zhu
February 24, 2023
Abstract
The magnetic properties of magnetic cores are essential for the design of electrical machines, and consequently appropriate mathematical modeling is needed. Usually, the design and analysis of electrical machines consider only the one-dimensional (1D) magnetic properties of core materials, i.e., the relationship of magnetic flux density (B) versus magnetic field strength (H), and their associated power loss under 1D magnetization, in which the B and H are constrained in the same orientation. Some studies have also been performed with the two-dimensional (2D) magnetizations in which the B and H are vectorial, rotating on a plane, and they may not be in the same direction. It has been discovered that the 2D rotational property is very different from its 1D alternating counterpart. However, the magnetic fields in an electrical machine, in particular claw pole and transverse flux machines, are naturally three-dimensional (3D), and the B and H vectors are rotational and may not lie on the same plane. It can be expected that the 3D vectorial property might be different from its 2D or 1D counterpart, and hence it should be investigated for the interests of both academic research and engineering application. This paper targets at a general summary about the magnetic material characterization with 3D vectorial magnetization, and their application prospect in electrical machine design and analysis.
Keywords
electrical machine, magnetic material, magnetic property measurement, magnetic property modeling, three-dimensional (3D) vectorial magnetization
Subject
Suggested Citation
Guo Y, Liu L, Ba X, Lu H, Lei G, Yin W, Zhu J. Measurement and Modeling of Magnetic Materials under 3D Vectorial Magnetization for Electrical Machine Design and Analysis. (2023). LAPSE:2023.6700
Author Affiliations
Guo Y: Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia [ORCID]
Liu L: Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia [ORCID]
Ba X: Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia [ORCID]
Lu H: Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia
Lei G: Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia [ORCID]
Yin W: School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW 2006, Australia
Zhu J: School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW 2006, Australia [ORCID]
Journal Name
Energies
Volume
16
Issue
1
First Page
417
Year
2022
Publication Date
2022-12-29
ISSN
1996-1073
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Original Submission
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PII: en16010417, Publication Type: Journal Article
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LAPSE:2023.6700
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https://doi.org/10.3390/en16010417
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Feb 24, 2023
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