Mostrar el registro sencillo del ítem
dc.contributor.author | Broatch, A. | es_ES |
dc.contributor.author | Olmeda, P. | es_ES |
dc.contributor.author | Pla Moreno, Benjamín | es_ES |
dc.contributor.author | Dreif-Bennany, Amin | es_ES |
dc.date.accessioned | 2024-02-27T19:01:45Z | |
dc.date.available | 2024-02-27T19:01:45Z | |
dc.date.issued | 2023-01 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/202788 | |
dc.description.abstract | [EN] Energy management in electrified vehicles is critical and directly impacts the global operating efficiency, durability, driveability, and safety of the vehicle powertrain. Given the multitude of components of these powertrains, the complexity of the proper control is significantly higher than the conventional internal combustion engine vehicle (ICEV). Hence, several control algorithms and numerical methods have been developed and implemented in order to optimize the operation of the hybrid powertrain while complying with the required boundary conditions. In this work, a model-based method is used for predicting the impacts of a set of possible control actions, choosing the one minimizing the associated costs. In particular, the energy management technique used in the present study is the equivalent consumption minimization strategy (ECMS). The novelty of this work consists of taking into account the thermal state of the ICE for optimization. This feature was implemented by means of an extensive experimental campaign at different coolant temperatures of the ICE to calibrate the additional fuel consumption due to operating the engine outside of its optimum temperature. The results showed significant gains in both WLTC and RDE cycles. | es_ES |
dc.description.sponsorship | The authors sincerely acknowledge the founding support provided by Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital in the framework of the Ayuda Predoctoral GVA. (ACIF/2020/234). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Energies | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | 1D modeling | es_ES |
dc.subject | ICE thermal state | es_ES |
dc.subject | Optimization | es_ES |
dc.subject | Hybrid vehicles | es_ES |
dc.subject | ECMS | es_ES |
dc.subject.classification | MAQUINAS Y MOTORES TERMICOS | es_ES |
dc.title | Novel Energy Management Control Strategy for Improving Efficiency in Hybrid Powertrains | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/en16010107 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//ACIF%2F2020%2F233//AYUDA PREDOCTORAL GVA-DREIF BENNANY. PROYECTO: DESARROLLO DE MODELOS INTEGRADOS DE TESTION TERMICA EN VEHICULOS HIBRIDOS/ | es_ES |
dc.rights.accessRights | Abierto | 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 | Broatch, A.; Olmeda, P.; Pla Moreno, B.; Dreif-Bennany, A. (2023). Novel Energy Management Control Strategy for Improving Efficiency in Hybrid Powertrains. Energies. 16(1). https://doi.org/10.3390/en16010107 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/en16010107 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 16 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.eissn | 1996-1073 | es_ES |
dc.relation.pasarela | S\479726 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |