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dc.contributor.authorAgote San Sebastian, Anartz
dc.contributor.authorArruti Romero, Asier
dc.contributor.authorAizpuru, Iosu
dc.contributor.authorMazuela, Mikel
dc.date.accessioned2024-12-18T17:00:31Z
dc.date.available2024-12-18T17:00:31Z
dc.date.issued2024
dc.identifier.isbn979-8-3503-6444-6en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=178852en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6827
dc.description.abstractThis work addresses limitations of the composite improved generalized Steinmetz equation for core loss calculation and presents a more robust definition of the losses. First, the limitations due to extrapolation of the fifth-degree polynomial functions used in the previous work are presented, resulting in inaccurate predictions in certain cases. As a solution, Bézier curves are proposed, which can accurately model the loss transition from low frequency (hysteresis loss) to high frequency (eddy loss), while remaining tangential outside of the parametrization range. The presented approach is not only more robust, but also requires less parameters to define the losses, while retaining similar or better accuracy than the approach.en
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2024 IEEEen
dc.subjectCore lossen
dc.subjectMagnetic coresen
dc.subjectFerritesen
dc.subjectCurve fittingen
dc.subjectNumerical analysisen
dc.subjectODS 7 Energía asequible y no contaminantees
dc.subjectODS 9 Industria, innovación e infraestructuraes
dc.subjectODS 13 Acción por el climaes
dc.titleAlternative Approach Based on Bézier Curves to Model Core Losses With the Composite iGSE Methoden
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceIEEE Energy Conversion Congress and Exposition (ECCE)en
local.contributor.groupSistemas electrónicos de potencia aplicados al control de la energía eléctricaes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1109/ECCEEurope62508.2024.10751923en
local.source.detailsDarmstadt (Alemania), 2-6 septiembre, 2024
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept622en
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.fundingStreamPrograma predoctoral de formación del personal investigador no doctor 2020-2021en
oaire.awardNumberPRE_2020_1_0267en
oaire.awardTitleSin informaciónen
oaire.awardURISin informaciónen
dc.unesco.clasificacionhttp://skos.um.es/unesco6/3306en


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