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dc.contributor.author
Feroldi, Diego Hernán  
dc.contributor.author
Carignano, Mauro  
dc.date.available
2018-06-26T23:20:50Z  
dc.date.issued
2016-12  
dc.identifier.citation
Feroldi, Diego Hernán; Carignano, Mauro; Sizing for fuel cell/supercapacitor hybrid vehicles based on stochastic driving cycles; Elsevier; Applied Energy; 183; 12-2016; 645-658  
dc.identifier.issn
0306-2619  
dc.identifier.uri
http://hdl.handle.net/11336/50219  
dc.description.abstract
In this article, a methodology for the sizing and analysis of fuel cell/supercapacitor hybrid vehicles is presented. The proposed sizing methodology is based on the fulfilment of power requirements, including sustained speed tests and stochastic driving cycles. The procedure to generate driving cycles is also presented in this paper. The sizing algorithm explicitly accounts for the Equivalent Consumption Minimization Strategy (ECMS). The performance is compared with optimal consumption, which is found using an off-line strategy via Dynamic Programming. The sizing methodology provides guidance for sizing the fuel cell and the supercapacitor number. The results also include analysis on oversizing the fuel cell and varying the parameters of the energy management strategy. The simulation results highlight the importance of integrating sizing and energy management into fuel cell hybrid vehicles.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Energy Management Strategy  
dc.subject
Fuel Cell Vehicles  
dc.subject
Hybrid Systems  
dc.subject
Stochastic Driving Cycle  
dc.subject
Supercapacitors  
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Sizing for fuel cell/supercapacitor hybrid vehicles based on stochastic driving cycles  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-06-26T22:34:41Z  
dc.journal.volume
183  
dc.journal.pagination
645-658  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Feroldi, Diego Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas Ingeniería y Agrimensura. Escuela de Ciencias Exactas y Naturales. Departamento de Ciencias de la Computación; Argentina  
dc.description.fil
Fil: Carignano, Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas Ingeniería y Agrimensura. Escuela de Ingeniería Mecánica; Argentina  
dc.journal.title
Applied Energy  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0306261916313101  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.apenergy.2016.09.008