Erregistro soila

dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorMiguel, Eduardo
dc.contributor.authorLopetegi, Iker
dc.contributor.authorOca, Laura
dc.contributor.authorIRAOLA, UNAI
dc.contributor.otherPlett, Gregory L.
dc.contributor.otherTrimboli, M. Scott
dc.contributor.otherBekaert, Emilie
dc.date.accessioned2021-07-15T14:43:36Z
dc.date.available2021-07-15T14:43:36Z
dc.date.issued2021
dc.identifier.issn2169-3536en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=164390en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5346
dc.description.abstractThis paper presents a reduced-order electrochemical battery model designed for online implementation of battery control systems. This model is based on porous-electrode and concentratedsolution theory frameworks and is able to predict voltage as well as the internal electrochemical variables of a battery. The reduction of the model leads to a physics-based one-dimensional discrete-time state-space reduced-order model (ROM) especially beneficial for online systems. Models optimized around different operational setpoints are combined in order to predict the cell variables over a wide range of temperature and state of charge (SOC) using the output-blending method. A sigma-point Kalman filter is further used in order to cope with inaccuracies generated by the reduction process and experimental-related issues such as measurement error (noise) on the current and voltage sensors. The state-estimation accuracies are measured against a full-order model (FOM) developed in COMSOL. The whole system is able to track the internal variables of the cell as well as the cell voltage and SOC with very high accuracy, demonstrating its suitability for an online battery control system.en
dc.description.sponsorshipGobierno Vascoes
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2021 The authorsen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBatterieses
dc.subjectBattery management systemsen
dc.subjectElectrochemical devicesen
dc.subjectKalman filtersen
dc.titleElectrochemical Model and Sigma Point Kalman Filter Based Online Oriented Battery Modelen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceIEEE Accessen
local.contributor.groupAlmacenamiento de energíaes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1109/ACCESS.2021.3095620en
local.relation.projectIDGV/Programa predoctoral de formación del personal investigador no doctor 2019-2020/PRE_2019_2_0195/CAPV//en
local.rights.publicationfeeAPCen
local.rights.publicationfeeamount1480 EURen
local.contributor.otherinstitutionhttps://ror.org/00jc20583en
local.contributor.otherinstitutionhttps://ror.org/03t0ryx68es
local.source.detailsEarly Accessen
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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