Optimization of the electric vehicle charging strategy problem for sustainable intercity travels with multiple refueling stops

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dc.authorid0000-0003-1744-3062
dc.authorid0000-0001-8125-6814
dc.contributor.authorYilmaz, Hilal
dc.contributor.authorYagmahan, Betul
dc.date.accessioned2026-02-08T15:15:29Z
dc.date.available2026-02-08T15:15:29Z
dc.date.issued2024
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractElectric vehicle (EV) drivers considering long-distance trips still face range anxiety due to the limited range of EVs and the scarcity of charging stations. Thus, it becomes important to ensure the feasibility of the selected route and determine an optimal charging strategy. As a crucial aspect of decision support for EV drivers, this study proposes a mixed integer linear programming (MILP) approach for the EV charging strategy problem (EVCSP), incorporating a piecewise linear approximation technique to address the challenges posed by nonlinear charging times. The proposed optimization model, namely CSPM determines where, when, and how much to charge an EV for a specified route to minimize travel time and cost. The solution time of large-scale test problems and a case study on T & uuml;rkiye reveal the robustness and reliability of the CSPM. Furthermore, two multi-objective optimization methods (the weighted sum and the lexicographic method) are applied to the case study, and the results are analyzed. The results indicate that the travel cost is more sensitive to the selected charging strategy, with a range of 46.09% across the applied charging strategies, whereas travel time remains more resilient, with a maximum fluctuation of 19.77%. A comparative analysis with a full charging strategy reveals that the CSPM reduces the travel time by 60.1 % and improves the cost efficiency by 105.72%.
dc.identifier.doi10.1016/j.segan.2024.101546
dc.identifier.issn2352-4677
dc.identifier.scopus2-s2.0-85206995545
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.segan.2024.101546
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5784
dc.identifier.volume40
dc.identifier.wosWOS:001343973000001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofSustainable Energy Grids & Networks
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWOS_KA_20260207
dc.subjectElectric vehicles
dc.subjectCharging strategy
dc.subjectMixed integer linear programming
dc.subjectMulti-objective optimization
dc.subjectLexicographic method
dc.subjectMultiple refueling stops
dc.titleOptimization of the electric vehicle charging strategy problem for sustainable intercity travels with multiple refueling stops
dc.typeArticle

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