Nair, S.S., Chen, L., Wang, J. orcid.org/0000-0003-4870-3744 et al. (3 more authors) (2017) Computationally efficient 3D analytical magnet loss prediction in surface mounted permanent magnet machines. IET Electric Power Applications, 11 (1). pp. 9-18. ISSN 1751-8660
Abstract
This study proposes a computationally efficient analytical method, for accurate prediction of three-dimensional (3D) eddy current loss in the rotor magnets of surface mounted permanent magnet (SPM) machines considering slotting effect. Subdomain model incorporating stator tooth tips is employed to generate the information on radial and tangential time-derivatives of 2D magnetic field (eddy current sources) within the magnet. The distribution of the eddy current sources in 3D is established for the magnets by applying the eddy current boundary conditions and the Coulomb gauge imposed on the current vector potential. The 3D eddy current distributions in magnets are derived analytically by employing the method of variable separation and the total eddy current loss in the magnets are subsequently established. The method is validated by 3D time-stepped finite element analysis for 18-slot, 8-pole and 12-slot, 8-pole permanent magnet machines. The eddy current loss variations in the rotor magnets with axial and circumferential number of segmentations are studied. The reduction of magnet eddy current loss is investigated with respect to harmonic wavelength of the source components to suggest a suitable segmentation for the rotor magnets in SPM machines.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 The Institution of Engineering and Technology. This is an author produced version of a paper subsequently published in IET Electric Power Applications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Finite element analysis; permanent magnet machines; electric machine analysis computing; eddy current losses; rotors |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Jan 2017 16:34 |
Last Modified: | 28 Jul 2017 03:18 |
Published Version: | https://doi.org/10.1049/iet-epa.2016.0079 |
Status: | Published |
Publisher: | Institution of Engineering and Technology |
Refereed: | Yes |
Identification Number: | 10.1049/iet-epa.2016.0079 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:109772 |