Developing a Model for Determining the Charging Station Location for Electric Vehicles

Mijdim AL_HAMEEDAWI S. H., Ozen H.

Sustainability (Switzerland), vol.17, no.23, 2025 (SCI-Expanded, SSCI, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 17 Issue: 23
  • Publication Date: 2025
  • Doi Number: 10.3390/su172310562
  • Journal Name: Sustainability (Switzerland)
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Geobase, INSPEC
  • Keywords: Baghdad, electric vehicles, flow capturing location model, flow refuelling location model, MATLAB, station location, sustainable
  • Yıldız Technical University Affiliated: Yes

Abstract

Electric vehicles, or EVs, have taken the spotlight in recent years in attempts to minimize the negative environmental effects associated with conventional modes of transportation. The location of charging infrastructure is an significant roadblock to promoting EV adoption; it demands careful planning in order to ensure the sustainability of EV use. Models like the Flow Capturing Location Model (FCLM) and Flow Refueling Location Model (FRLM) address this by considering operational constraints, system features, and uncertainties to provide effective solutions. In this study, Using MATLAB, R2020a the FCLM and FRLM were applied in Al-Karkh, Baghdad. When combined, the results revealed three key outcomes: identification of the nodes most frequently connected by traffic flows, with the shortest path method used to exclude paths that could not be utilized due to vehicle range limitations, and determination of the best nodes located along the shortest feasible routes dependent on the number of stations that the models chose.