Erregistro soila

dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorArruti Romero, Asier
dc.contributor.authorAizpuru, Iosu
dc.contributor.otherSanz Alcaine, José Miguel
dc.contributor.otherSebastián, Eduardo
dc.contributor.otherPérez-Cebolla, Francisco José
dc.contributor.otherBernal Ruiz, Carlos
dc.date.accessioned2024-10-16T12:07:09Z
dc.date.available2024-10-16T12:07:09Z
dc.date.issued2024
dc.identifier.issn1941-0107en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=177771en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6661
dc.description.abstractAchieving the optimal design of power converters requires a deep understanding of the system's dissipation elements to meet the desired performance and safety standards. Once the power converter is designed, it is of key importance to estimate the actual power losses in the real setup, in order to redesign the power converter or monitor and control the semiconductor power losses. With that purpose, calorimetric techniques have outperformed electrical methods. However, they come with mechanical limitations and depend on analytical electrothermal equivalent circuits. These models are highly topology and technology dependent, often resulting in simplistic representations that underestimate thermal effects or complex sets of differential equations. To overcome these challenges, we present a novel post-design automatic method for characterizing semiconductor power losses through its converter thermal dynamics. Our method is rooted in an optimization program that identifies the optimal discrete-time linear model according to a set of power versus temperature profiles. The proposed approach ensures the accurate identification and integration of desired modeling requirements. The methodology is applicable to any power converter topology, and the derived linear model enables the use of standard control theory techniques for monitorization and control. Experiments with a real power converter validate the proposal's versatility and accuracy.en
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2024 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectcalorimetryen
dc.subjectsemiconductorsen
dc.subjectSwitching lossen
dc.subjectthermal modelingen
dc.titleEstimation of Semiconductor Power Losses Through Automatic Thermal Modelingen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceIEEE Transactions on Power Electronicsen
local.contributor.groupSistemas electrónicos de potencia aplicados al control de la energía eléctricaes
local.description.peerreviewedtrueen
local.description.publicationfirstpage11086en
local.description.publicationlastpage11098en
local.identifier.doihttps://doi.org/10.1109/TPEL.2024.3412009en
local.contributor.otherinstitutionhttps://ror.org/012a91z28en
local.source.detailsVol. 39. N 9. Pp. 11086-11098. September, 2024
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept9546en
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept622en
oaire.funderNameGobierno de Españaen
oaire.funderIdentifierhttps://ror.org/038jjxj40 / http://data.crossref.org/fundingdata/funder/10.13039/501100010198en
oaire.fundingStreamCDTIen
oaire.awardNumberMIG20201042en
oaire.awardTitleCARga Dinámica inductiva y mediante HIdrógeNo para vehículos eléctricos basada en fuentes renovables (CARDHIN)en
oaire.awardURISin informaciónen
dc.unesco.clasificacionhttp://skos.um.es/unesco6/221125en
dc.unesco.clasificacionhttp://skos.um.es/unesco6/2203en


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