Optimal Delivery Scheduling and Charging of EVs in the Navigation of a City Map

dc.contributor.authorCerna, Fernando V. [UNESP]
dc.contributor.authorPourakbari-Kasmaei, Mahdi [UNESP]
dc.contributor.authorRomero, Ruben A. [UNESP]
dc.contributor.authorRider, Marcos J.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2018-11-26T17:55:12Z
dc.date.available2018-11-26T17:55:12Z
dc.date.issued2018-09-01
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 CPLEX.en
dc.description.affiliationUniv Estadual Paulista, Fac Engn Ilha Solteira, Dept Engn Eletr, BR-15385000 Ilha Solteira, Brazil
dc.description.affiliationUniv Estadual Campinas, Sch Elect & Comp Engn, Dept Syst & Energy, BR-13083852 Campinas, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Engn Ilha Solteira, Dept Engn Eletr, BR-15385000 Ilha Solteira, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdCNPq: 141462/2013-2
dc.description.sponsorshipIdFAPESP: 2014/22828-3
dc.description.sponsorshipIdFAPESP: 2016/14319-7
dc.format.extent4815-4827
dc.identifierhttp://dx.doi.org/10.1109/TSG.2017.2672801
dc.identifier.citationIeee Transactions On Smart Grid. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 9, n. 5, p. 4815-4827, 2018.
dc.identifier.doi10.1109/TSG.2017.2672801
dc.identifier.fileWOS000443200700080.pdf
dc.identifier.issn1949-3053
dc.identifier.urihttp://hdl.handle.net/11449/164588
dc.identifier.wosWOS:000443200700080
dc.language.isoeng
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Transactions On Smart Grid
dc.relation.ispartofsjr2,854
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectBattery electric vehicles
dc.subjectcharging points
dc.subjectchaing rates
dc.subjectmixed integer linear programming
dc.titleOptimal Delivery Scheduling and Charging of EVs in the Navigation of a City Mapen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee-inst Electrical Electronics Engineers Inc

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