Health assessment of LFP automotive batteries using a fractional-order neural network
| dc.contributor.author | Sánchez Ramos, Luciano | |
| dc.contributor.author | Otero Rodríguez, José | |
| dc.contributor.author | Anseán González, David | |
| dc.contributor.author | Couso Blanco, Inés | |
| dc.date.accessioned | 2020-04-29T10:56:43Z | |
| dc.date.available | 2020-04-29T10:56:43Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Neurocomputing, 391, p. 345-354 (2019); doi:10.1016/j.neucom.2019.06.107 | |
| dc.identifier.issn | 0925-2312 | |
| dc.identifier.uri | http://hdl.handle.net/10651/54621 | |
| dc.description.sponsorship | This work was supported in part by the Science and Innovation Ministry and by FEDER, under the Projects TIN2014-56967-R, TEC2016-80700-R (AEI/FEDER, UE) and TIN2017-84804-R. | |
| dc.format.extent | p. 345-354 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Neurocomputing | |
| dc.rights | © 2019 Elsevier | |
| dc.rights | CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076521184&doi=10.1016%2fj.neucom.2019.06.107&partnerID=40&md5=5986892c00a2b4cdb989b41268e84c31 | |
| dc.title | Health assessment of LFP automotive batteries using a fractional-order neural network | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1016/j.neucom.2019.06.107 | |
| dc.relation.projectID | FEDER/TIN2014-56967-R | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI//TEC2016-80700-R/ES/GESTION OPTIMIZADA DE BESS (BATTERY ENERGY STORAGE SYSTEMS) PARA UNA RED ELECTRICA DE CALIDAD: MODELOS DE DEGRADACION PREDICTIVOS PARA TECNOLOGIAS AVANZADAS DE LITIO/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84804-R/ES/INTELIGENCIA COMPUTACIONAL EN SITUACIONES DE ALTA INCERTIDUMBRE. APLICACIONES A TECNOLOGIAS ECOEFICIENTES/ | |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/j.neucom.2019.06.107 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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