dc.contributor.author | Saldaña Mulero, Gaizka | |
dc.contributor.author | San Martín Díaz, José Ignacio | |
dc.contributor.author | Zamora Belver, Inmaculada | |
dc.contributor.author | Asensio De Miguel, Francisco Javier | |
dc.contributor.author | Oñederra Leyaristi, Oier | |
dc.date.accessioned | 2020-02-14T11:56:29Z | |
dc.date.available | 2020-02-14T11:56:29Z | |
dc.date.issued | 2019-07-18 | |
dc.identifier.citation | Energies 12(14) : (2019) // Article ID 2750 | es_ES |
dc.identifier.issn | 1996-1073 | |
dc.identifier.uri | http://hdl.handle.net/10810/41131 | |
dc.description | This article belongs to the Section Electric Vehicles. | es_ES |
dc.description.abstract | Electric 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.sponsorship | The 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.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | batteries | es_ES |
dc.subject | electric vehicle | es_ES |
dc.subject | equivalent circuit | es_ES |
dc.subject | impedance model | es_ES |
dc.subject | li-ion | es_ES |
dc.subject | battery modelling | es_ES |
dc.subject | lithium-ion battery | es_ES |
dc.subject | of-charge estimation | es_ES |
dc.subject | electrochemical impedance spectroscopy | es_ES |
dc.subject | equivalent-circuit model | es_ES |
dc.subject | lead-acid | es_ES |
dc.subject | thermal management | es_ES |
dc.subject | fuel-cell | es_ES |
dc.subject | state | es_ES |
dc.subject | hybrid | es_ES |
dc.subject | power | es_ES |
dc.title | Analysis of the Current Electric Battery Models for Electric Vehicle Simulation | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | 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. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://www.mdpi.com/1996-1073/12/14/2750 | es_ES |
dc.identifier.doi | 10.3390/en12142750 | |
dc.departamentoes | Ingeniería eléctrica | es_ES |
dc.departamentoeu | Ingeniaritza elektrikoa | es_ES |