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dc.contributor.authorAlonso del Valle, Jorge
dc.contributor.authorViera Pérez, Juan Carlos
dc.contributor.authorAnseán González, David
dc.contributor.authorBrañas Reyes, Christian 
dc.contributor.authorLuque Rodríguez, Pablo
dc.contributor.authorÁlvarez Mántaras, Daniel
dc.contributor.authorFernández Pulido, Yoana
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2019-09-06T12:21:05Z
dc.date.available2019-09-06T12:21:05Z
dc.date.issued2018
dc.identifier.issn2352-1465
dc.identifier.issn2352-1457
dc.identifier.otherTEC2016-80700-Res_ES
dc.identifier.urihttp://hdl.handle.net/10902/16852
dc.description.abstractThis work develops a software tool to calculate and predict the energy consumption of an electric vehicle (EV) for any desired route. The software tool is based on a mathematical model of an electric vehicle, which relates the energy consumption of the vehicle with factors such as the speed and the terrain slope. In addition, factors such as driving style, weather conditions and traffic congestion can be taken into account. The model has been validated with real data from an electric vehicle. On the other hand, this work proposes a methodology to use this tool with any other EV, as long as its basic characteristics are known. The results obtained in this work are applied in automated testing systems, specific for EV storage systems at laboratory level. The main advantage lies in the use of more realistic power profiles than those commonly used and proposed in the specialized literature (eg, FUDS). In addition, the proposed methodology can be applied to any EV, in different scenarios of orography, traffic, climatology, etc.es_ES
dc.description.sponsorshipThis work was supported by the Science of Innovation Spanish Ministry and FEDER funds under the Project TEC2016-80700-R (AEI/FEDER, UE), by the Principality of Asturias Government under project FC-15GRUPIN14-073 and the University Institute of Industrial Technology of Asturias (IUTA) under project SV-15GIJON-1.13.es_ES
dc.format.extent8 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceTransportation Research Procedia, 2018, 33, 35-42es_ES
dc.source13th Conference on Transport Engineering (CIT2018), Gijón, 35-42es_ES
dc.subject.otherElectric vehicleses_ES
dc.subject.otherBatterieses_ES
dc.subject.otherEnergy consumptiones_ES
dc.subject.otherEnergy efficiencyes_ES
dc.subject.otherEnergy managementes_ES
dc.titleDesign and validation of a tool for prognosis of the energy consumption and performance in electric vehicleses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.trpro.2018.10.073
dc.type.versionpublishedVersiones_ES


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