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dc.contributor.authorAizpuru, Iosu
dc.contributor.authorArruti Romero, Asier
dc.contributor.authorAnzola, Jon
dc.contributor.authorIRAOLA, UNAI
dc.contributor.authorMazuela, Mikel
dc.contributor.authorRujas, Alejandro
dc.date.accessioned2025-04-28T08:16:15Z
dc.date.available2025-04-28T08:16:15Z
dc.date.issued2020
dc.identifier.isbn978-1-7281-8959-8en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=162774en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6979
dc.description.abstractThe proposed research article presents a simulation and comparison tool for Electric Vehicle EV charging infrastructure simulation. The design, development and sizing of an EV charging station is not a trivial engineering work. The installation of high number of EV charging stations is fundamental to increase the insertion of EV in our society. The installation of an EV charging station is dependent on the available electric infrastructure. However, to decrease electric grid dependency, future EV stations will be mixed with Renewable Energy RE sources and backup Battery Energy Storage Systems BESS. This mixed complex installation will be controlled by an Energy Management System EMS that will control the energetic flow between the different power sources (RE, electric grid, BESS, Vehicle to Grid V2G, Vehicle to Vehicle V2V, etc) and power loads (EV ESS mainly). The simulation tool is developed in an energetic State Space SS universal model where the energy (J or Wh) of the BESSs are the state variables. The tool permits to develop sizing work for EV charging infrastructure installation, different EMS simulation comparison, or charging efficiency evaluation. The paper first presents the state space universal tool. After the EMS based simulation strategy is presented where different EMS strategies are simulated. Finally the main results of the selected simulation scenarios are presented in order to present the potential of the developed tool.en
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2020 IEEEen
dc.subjectElectric vehicle chargingen
dc.subjectCharging infrastructuresen
dc.subjectvehicle to griden
dc.subjectVehicle to Vehicleen
dc.subjectEnergy Storage Systemsen
dc.subjectEnergy Efficiencyen
dc.titleUniversal Electric Vehicle Charging Infrastructure Analysis Toolen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceIEEE Vehicular Power and Propulsion Conference (IEEE VPPC)en
local.contributor.groupAlmacenamiento de energíaes
local.contributor.groupSistemas electrónicos de potencia aplicados al control de la energía eléctricaes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1109/VPPC49601.2020.9330990en
local.contributor.otherinstitutionhttps://ror.org/03hp1m080es
local.source.detailsGijón (Virtual), 26-29 octubre 2020en
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
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.fundingStreamPrograma Elkartek 2019en
oaire.awardNumberKK-2019-00066en
oaire.awardTitleElectrónica de potencia avanzada para la futura infraestructura del vehículo eléctrico (ELPIVE)en
oaire.awardURISin informaciónen


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