Analysis of Permanent Magnet Motors in High Frequency—A Review release_2h5rl22j3zfwzji4q3te27af4y

by Yerai Moreno, Gaizka Almandoz, Aritz Egea, Beñat Arribas, Ander Urdangarin

Published in Applied Sciences by MDPI AG.

2021   Volume 11, Issue 14, p6334

Abstract

Electric drives consume a great amount of the world's energy, and it will keep increasing due to the electromobility trend. Thus, the efficiency of electric drives must be improved to reach the desired sustainability goal. The Silicon Carbide devices contribute to this objective due to their high working frequency and lower switching losses. However, working at higher frequencies may bring serious Electromagnetic Compatibility (EMC) problems, as well as insulation stress and higher bearing currents. Hence, it is important to have an electrical machine electrical equivalent circuit model to predict the electromagnetic interference levels. This review summarizes the current state of the art in electrical machine modeling and analysis in high frequency. The main analysis tools as Finite Element Methods, analytic and measurement-based tools are compared in their application on high-frequency electrical machine analysis. Then, different machine high-frequency models are reported, detailing their individual features. Additionally, the influence of the machine design parameters in EMC behavior is outlined for future analysis. All in all, Finite Element analysis is the most accurate tool for high-frequency analysis, provided that mesh size is thinner than the skin depth. It is also concluded that the winding placement is an essential parameter to define the high-frequency behavior of the machine.
In application/xml+jats format

Archived Files and Locations

application/pdf   3.0 MB
file_zu2ce64rlzabbko6qqpnsyyfxy
res.mdpi.com (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2021-07-08
Language   en ?
Container Metadata
Open Access Publication
In DOAJ
In ISSN ROAD
In Keepers Registry
ISSN-L:  2076-3417
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: c04e3871-1f5d-447c-a05f-b540d085d936
API URL: JSON