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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 47328 (09)
- University: Sharif University of Technology
- Department: Civil Engineering
- Advisor(s): Zakaei Ashtiani, Hedayat
- Abstract:
- Limited oil resources, increasing rate of oil consumption, and environmental concerns related to burning fossil fuels promote the use of alternative fuel vehicles. Electric vehicles are common among alternative fuel vehicles which decrease greenhouse gases emission and fossil fuel dependence. To increase electric vehicle market share, some challenges need to be overcome including range anxiety. Limited driving range is one of the main challenges for battery-powered electric vehicles. The distance limit inevitably changes electric vehicle drivers’ travel behavior. Given the scarcity of charging stations, consumers perceive this driving range limit to be a potential worry. Therefore, availability of charging stations is imperative in the ultimate success of electric vehicles. The location of the charging stations impact drivers’ route choice decisions and the performance of the transportation system. Hence, this paper investigates the optimal deployment of charging stations in order to decrease total system travel time. A Simulating Annealing algorithm is used to solve the optimal location problem. The results show that charging station locations can be used as a managerial action to decrease total system travel time. For example, the Iran road network with 160 kilometers range limit is chosen as a case study in which the installment of 60 charging stations satisfies 90 percent of the demand and the optimal deployment of 5 new charging stations reduces the total travel time of the same demand by 48.36 percent
- Keywords:
- Electrical Vehicle ; Optimal Placement ; Deployment ; Charging Station
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