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Cost of ownership-efficient hybrid electric vehicle powertrain sizing for multi-scenario driving cycles

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Cost of ownership-efficient hybrid electric vehicle powertrain sizing for multi-scenario driving cycles

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dc.contributor.author Luján, José M. es_ES
dc.contributor.author Guardiola, Carlos es_ES
dc.contributor.author Plá Moreno, Benjamín es_ES
dc.contributor.author Reig, Alberto es_ES
dc.date.accessioned 2017-06-14T12:41:03Z
dc.date.available 2017-06-14T12:41:03Z
dc.date.issued 2016-02
dc.identifier.issn 0954-4070
dc.identifier.uri http://hdl.handle.net/10251/82847
dc.description.abstract During the last decade, hybrid electric vehicles have gained a presence in the automotive market. On the streets, in motorsports and in society, hybrid electric vehicles are increasingly common. Many manufacturers have become involved in hybrid electric vehicles, while others have hybrid electric vehicle projects in development. Thus, there is already a great variety of hybrid electric vehicles in production, from small microhybrid vehicles to range extenders. Although there are some hybrid electric vehicles designed for urban driving or luxury segments of the market, most of the market share is aimed to the same kind of use and driving, resulting in potentially subsized or oversized hybrid systems that could lead to inefficient use of the vehicle's fuel-saving capabilities in many situations. The present work studies the influence of the sizes of the powertrain components (i.e. the engine, the motor and the battery) on the fuel economy under different assumptions: city driving, highway driving and mixed driving. The utilized framework permits the calculation of the theoretically optimum powertrain sizes assuming a particular target. Different drivers and different traffic conditions are also evaluated. Finally, a long-term cost evaluation is carried out to estimate the optimal sizes of the hybrid electric vehicle powertrain as functions of the type of use of the vehicle throughout its life cycle. es_ES
dc.description.sponsorship The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work has been supported by Conselleria de Educacio Cultura i Esports de la Generalitat Valenciana through Project GV/2013/044 AECOSPH. en_EN
dc.language Inglés es_ES
dc.publisher SAGE Publications (UK and US) es_ES
dc.relation.ispartof Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Hybrid electric vehicle es_ES
dc.subject Energy management es_ES
dc.subject Optimal control es_ES
dc.subject Dynamic programming: powertrain size es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Cost of ownership-efficient hybrid electric vehicle powertrain sizing for multi-scenario driving cycles es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1177/0954407015586333
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV%2F2013%2F044/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation Luján, JM.; Guardiola, C.; Plá Moreno, B.; Reig, A. (2016). Cost of ownership-efficient hybrid electric vehicle powertrain sizing for multi-scenario driving cycles. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 230(3):382-394. https://doi.org/10.1177/0954407015586333 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1177/0954407015586333 es_ES
dc.description.upvformatpinicio 382 es_ES
dc.description.upvformatpfin 394 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 230 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 305184 es_ES
dc.identifier.eissn 2041-2991
dc.contributor.funder Generalitat Valenciana es_ES


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