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dc.contributor.authorSaldaña Mulero, Gaizka
dc.contributor.authorSan Martín Díaz, José Ignacio ORCID
dc.contributor.authorZamora Belver, Inmaculada
dc.contributor.authorAsensio De Miguel, Francisco Javier ORCID
dc.contributor.authorOñederra Leyaristi, Oier ORCID
dc.date.accessioned2020-02-14T11:56:29Z
dc.date.available2020-02-14T11:56:29Z
dc.date.issued2019-07-18
dc.identifier.citationEnergies 12(14) : (2019) // Article ID 2750es_ES
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10810/41131
dc.descriptionThis article belongs to the Section Electric Vehicles.es_ES
dc.description.abstractElectric vehicles (EVs) are a promising technology to reduce emissions, but its development enormously depends on the technology used in batteries. Nowadays, batteries based on lithium-ion (Li-Ion) seems to be the most suitable for traction, especially nickel-manganese-cobalt (NMC) and nickel-cobalt-aluminum (NCA). An appropriate model of these batteries is fundamental for the simulation of several processes inside an EV, such as the state of charge (SoC) estimation, capacity and power fade analysis, lifetime calculus, or for developing control and optimization strategies. There are different models in the current literature, among which the electric equivalent circuits stand out, being the most appropriate model when performing real-time simulations. However, impedance models for battery diagnosis are considered very attractive. In this context, this paper compares and contrasts the different electrical equivalent circuit models, impedance models, and runtime models for battery-based EV applications, addressing their characteristics, advantages, disadvantages, and usual applications in the field of electromobility. In this sense, this paper serves as a reference for the scientific community focused on the development of control and optimization strategies in the field of electric vehicles, since it facilitates the choice of the model that best suits the needs required.es_ES
dc.description.sponsorshipThe authors thank the support from the Gipuzkoa Provincial Council (project Etorkizuna Eraikiz 2019 DGE19/03), the Basque Government (GISEL research group IT1083-16), as well as from the University of the Basque Country UPV/EHU (PES16/31 and PES17/08).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectbatterieses_ES
dc.subjectelectric vehiclees_ES
dc.subjectequivalent circuites_ES
dc.subjectimpedance modeles_ES
dc.subjectli-iones_ES
dc.subjectbattery modellinges_ES
dc.subjectlithium-ion batteryes_ES
dc.subjectof-charge estimationes_ES
dc.subjectelectrochemical impedance spectroscopyes_ES
dc.subjectequivalent-circuit modeles_ES
dc.subjectlead-acides_ES
dc.subjectthermal managementes_ES
dc.subjectfuel-celles_ES
dc.subjectstatees_ES
dc.subjecthybrides_ES
dc.subjectpoweres_ES
dc.titleAnalysis of the Current Electric Battery Models for Electric Vehicle Simulationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.mdpi.com/1996-1073/12/14/2750es_ES
dc.identifier.doi10.3390/en12142750
dc.departamentoesIngeniería eléctricaes_ES
dc.departamentoeuIngeniaritza elektrikoaes_ES


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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.