Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/128535
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Estimation of PM machine efficiency maps from limited data
Author: Kahourzade, S.
Mahmoudi, A.
Soong, W.L.
Ertugrul, N.
Pellegrino, G.
Citation: IEEE Transactions on Industry Applications, 2020; 56(3):2612-2621
Publisher: IEEE
Issue Date: 2020
ISSN: 0093-9994
1939-9367
Statement of
Responsibility: 
Solmaz Kahourzade, Amin Mahmoudi, Wen L. Soong, Nesimi Ertugrul, Gianmario Pellegrino
Abstract: This article investigates the accuracy of the estimation of efficiency maps for permanent magnet (PM) machines using the stator resistance, d- and q-axis flux-linkages versus the corresponding axis current and the iron loss versus the speed characteristic. The ultimate goal is to apply this approach to the experimental measurements, but this article performs initial investigation using only the finite-element (FE) data. Detailed FE data for 50-kW surface PM (SPM) and interior PM (IPM) machines are used to determine the “actual” or exact efficiency map and, hence, the accuracy of using approximations. This article examines the effect on the torque-speed capability curve when ignoring cross-saturation effects. It also examines the modeling of the variation of iron losses as a function of load in the constant torque and power regions. A novel approach based on scaling the no-load (NL) losses as a function of load is proposed and shown to give promising results. FE results from two other machines are also provided, which show good correspondence.
Keywords: Efficiency map; flux linkage; loss modeling; no-load (NL) loss; permanent magnet (PM) machine
Rights: © 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
DOI: 10.1109/TIA.2020.2979975
Grant ID: http://purl.org/au-research/grants/arc/DP170103343
Published version: http://dx.doi.org/10.1109/tia.2020.2979975
Appears in Collections:Aurora harvest 4
Electrical and Electronic Engineering publications

Files in This Item:
File Description SizeFormat 
hdl_128535.pdfAccepted version2.68 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.