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Estimation of Eddy Current Losses in SPMSM Based on Harmonic Decomposition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43965928" target="_blank" >RIV/49777513:23220/22:43965928 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9910618" target="_blank" >https://ieeexplore.ieee.org/document/9910618</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICEM51905.2022.9910618" target="_blank" >10.1109/ICEM51905.2022.9910618</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimation of Eddy Current Losses in SPMSM Based on Harmonic Decomposition

  • Original language description

    Algorithm for evaluating eddy current losses in surface-mounted permanent magnets situated in synchronous machine is discussed in this paper. Whereas variable air gap permeance causing a ripple of magnetic flux density produced by permanent magnets is considered the main source of these losses. The key objective of this project is to create a fast and relatively accurate tool for setting up the average value of losses in permanent magnets at the prime stage of the electromagnetic design process of such a machine. The method is based on the harmonic decomposition of variable quantities, described by the Fourier series’s analytical formulae. First, evaluation is performed for a specified number of discretely organized layers in the permanent magnet. Afterwards, the final result is obtained from the numerical integration of these particular solutions. The algorithm’s efficiency is compared with finite element analysis (FEA) in the last part of this paper.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings : 2022 International Conference on Electrical Machines (ICEM 2022)

  • ISBN

    978-1-66541-432-6

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    246-250

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Valencia, Spain

  • Event date

    Sep 5, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article