Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/347104
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampRider Flores, Marcos Julio-
dc.typeArtigopt_BR
dc.titleOptimal delivery scheduling and charging of EVs in the navigation of a city mappt_BR
dc.contributor.authorCerna, FV-
dc.contributor.authorPourakbari-Kasmaei, M-
dc.contributor.authorRomero, RA-
dc.contributor.authorRider, MJ-
dc.subjectProgramação linear inteira mistapt_BR
dc.subject.otherlanguageMixed-integer linear programmingpt_BR
dc.description.abstractThis paper presents a mixed integer linear programming model to optimize the costs of maintenance and extra hours tits scheduling a fleet of battery electric vehicles (BEVs) so that the products arc delivered to prespecified delivery points along a route. On this route, each BEV must have an efficient charging strategy at the prespecified charging points. The proposed model considers the average speed of the BEVs, the battery states of charge, and a set of deliveries allocated to each BEV. The charging points are located on urban roads and differ according to their charging rate (fast or ultra-fast). Constraints that guarantee the performance of the fleet's batteries are also taken into consideration. Uncertainties in the navigation of urban roads are modeled using the probability of delay due to the presence of traffic signals, schools, and public works. The routes and the intersections of these routes are modeled as a predefined graph. The results and the evaluation of the model, with and without considering the extra hours, show the effectiveness of this type of transport technology. The models were implemented in AMPI, and solved using the commercial solver CPLEXpt_BR
dc.relation.ispartofIEEE transactions on smart gridpt_BR
dc.publisher.cityPiscataway, NJpt_BR
dc.publisher.countryEstados Unidospt_BR
dc.publisherInstitute of Electrical and Electronics Engineerspt_BR
dc.date.issued2018-
dc.date.monthofcirculationSept.pt_BR
dc.language.isoengpt_BR
dc.description.volume9pt_BR
dc.description.issuenumber5pt_BR
dc.description.firstpage4815pt_BR
dc.description.lastpage4827pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1949-3053pt_BR
dc.identifier.eissn1949-3061pt_BR
dc.identifier.doi10.1109/TSG.2017.2672801pt_BR
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7862287pt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumber141462/2013-2pt_BR
dc.description.sponsordocumentnumber2014/22828-3; 2016/14319-7pt_BR
dc.date.available2020-08-11T15:04:45Z-
dc.date.accessioned2020-08-11T15:04:45Z-
dc.description.provenanceSubmitted by Mariana Aparecida Azevedo (mary1@unicamp.br) on 2020-08-11T15:04:45Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-01-08T19:02:53Z : No. of bitstreams: 1 000443200700080.pdf: 3385637 bytes, checksum: f05556153f6731fb3072a94884adf366 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-08-11T15:04:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2018en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/347104-
dc.contributor.departmentDepartamento de Sistemas e Energiapt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.subject.keywordBattery electric vehiclept_BR
dc.subject.keywordCharging pointspt_BR
dc.subject.keywordCharging ratespt_BR
dc.identifier.source000443200700080pt_BR
dc.creator.orcid0000-0001-5484-1161pt_BR
dc.type.formArtigopt_BR
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