Power Loss and Thermal Analysis of a MW High Speed Permanent Magnet Synchronous Machine

Abstract

High speed permanent magnet synchronous machines (PMSMs) have attracted much attention due to their high power density, high efficiency, and compact size for direct-drive applications. However, the consequent power loss density is high and heat transfer is also deemed as a technical challenge. This is particularly the case for high-speed operation. In this paper, electromagnetic and mechanical power losses in a MW level high speed PMSM is comprehensively investigated by finite element analysis; the transient machine demagnetization performance is studied with the proposed rotor composite structure to improve the machine anti-demagnetization capability; the temperature distribution of the high speed PMSM is also analyzed by a fluid-thermal coupling method with calculated power loss. The high speed PMSM is prototyped and experimentally tested to validate the effectiveness of numerical models and calculated results.

Publication DOI: https://doi.org/10.1109/TEC.2017.2710159
Divisions: College of Engineering & Physical Sciences
Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Funding:Royal Society, UK and by the National Natural Science Foundation, China under Grant 5141101208
Uncontrolled Keywords: Demagnetization,finite element method,High speed PM machine,magnetic field,power loss,thermal analysis
Publication ISSN: 1558-0059
Last Modified: 19 Feb 2024 08:17
Date Deposited: 16 Nov 2017 13:45
Full Text Link:
Related URLs: http://ieeexplo ... cument/7936615/ (Publisher URL)
PURE Output Type: Article
Published Date: 2017-12-01
Published Online Date: 2017-05-31
Accepted Date: 2017-05-31
Authors: Zhang, Yue
McLoone, Sean
Cao, Wenping (ORCID Profile 0000-0002-8133-3020)
Qiu, Fengyi
Gerada, Chris

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