dc.contributor.author | Aizpuru, Iosu | |
dc.contributor.author | Arruti Romero, Asier | |
dc.contributor.author | Anzola, Jon | |
dc.contributor.author | IRAOLA, UNAI | |
dc.contributor.author | Mazuela, Mikel | |
dc.contributor.author | Rujas, Alejandro | |
dc.date.accessioned | 2025-04-28T08:16:15Z | |
dc.date.available | 2025-04-28T08:16:15Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-1-7281-8959-8 | en |
dc.identifier.other | https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=162774 | en |
dc.identifier.uri | https://hdl.handle.net/20.500.11984/6979 | |
dc.description.abstract | The 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.iso | eng | en |
dc.publisher | IEEE | en |
dc.rights | © 2020 IEEE | en |
dc.subject | Electric vehicle charging | en |
dc.subject | Charging infrastructures | en |
dc.subject | vehicle to grid | en |
dc.subject | Vehicle to Vehicle | en |
dc.subject | Energy Storage Systems | en |
dc.subject | Energy Efficiency | en |
dc.title | Universal Electric Vehicle Charging Infrastructure Analysis Tool | en |
dcterms.accessRights | http://purl.org/coar/access_right/c_abf2 | en |
dcterms.source | IEEE Vehicular Power and Propulsion Conference (IEEE VPPC) | en |
local.contributor.group | Almacenamiento de energía | es |
local.contributor.group | Sistemas electrónicos de potencia aplicados al control de la energía eléctrica | es |
local.description.peerreviewed | true | en |
local.identifier.doi | https://doi.org/10.1109/VPPC49601.2020.9330990 | en |
local.contributor.otherinstitution | https://ror.org/03hp1m080 | es |
local.source.details | Gijón (Virtual), 26-29 octubre 2020 | en |
oaire.format.mimetype | application/pdf | en |
oaire.file | $DSPACE\assetstore | en |
oaire.resourceType | http://purl.org/coar/resource_type/c_c94f | en |
oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa | en |
oaire.funderName | Gobierno Vasco | en |
oaire.funderIdentifier | https://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086 | en |
oaire.fundingStream | Programa Elkartek 2019 | en |
oaire.awardNumber | KK-2019-00066 | en |
oaire.awardTitle | Electrónica de potencia avanzada para la futura infraestructura del vehículo eléctrico (ELPIVE) | en |
oaire.awardURI | Sin información | en |