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Modelling static and dynamic hysteresis in time domain reluctance networks
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.
2014 (English)In: IET Conference Publications, 2014, no 627 CPConference paper, Published paper (Refereed)
Abstract [en]

This paper introduces a novel method for taking into account the losses of magnetic materials in a time domain reluctance network analysis. The reluctance network method is a fast and practical method of electromagnetic analysis of magnetic devices. However, in conventional methods only non-linear properties of magnetic materials are considered. The method presented in this work improves the reluctance network method to manage both static hysteresis and dynamic eddy currents in the time domain. It can be used for calculation of losses and consider their effects in transient studies. The accuracy and efficiency of the method is confirmed by experiment.

Place, publisher, year, edition, pages
2014. no 627 CP
Keyword [en]
Eddy currents, Hysteresis, Reluctance network method, Computational electromagnetics, Electromagnetism, Magnetic materials, Conventional methods, Dynamic hysteresis, Electromagnetic analysis, Nonlinear properties, Practical method, Reluctance network analysis, Reluctance network methods, Transient studies, Time domain analysis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-167628DOI: 10.1049/cp.2014.0208Scopus ID: 2-s2.0-84901992562ISBN: 9781849198172 (print)OAI: oai:DiVA.org:kth-167628DiVA: diva2:813876
Conference
9th IET International Conference on Computation in Electromagnetics, CEM 2014, 31 March 2014 - 1 April 2014, London
Note

QC 20150525

Available from: 2015-05-25 Created: 2015-05-22 Last updated: 2015-05-25Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • modern-language-association-8th-edition
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Language
  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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