Long-term strategic planning of inter-city fast charging infrastructure for battery electric vehicles

Fei Xie, Changzheng Liu, Shengyin Li, Zhenhong Lin and Yongxi Huang

Transportation Research Part E: Logistics and Transportation Review, 2018, vol. 109, issue C, 261-276

Abstract: This study introduces a multistage chance-constrained stochastic model for strategic planning of battery electric vehicle (BEV) inter-city fast charging infrastructure. A mixed integer programming model is developed to determine where and when charging stations are opened, and how many chargers are required for each station to meet the growing BEV inter-city demand. The model is applied to a case study in California and solved by genetic algorithm. This study showed that investment in inter-city charging infrastructure is vital to alleviate the range anxiety. Also, planning decisions depend on many factors, such as the design level of service and vehicle range.

Keywords: Battery electric vehicle; Inter-city charging infrastructure; Charger capacity; Chance-constrained stochastic model; Genetic algorithm (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (21)

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DOI: 10.1016/j.tre.2017.11.014

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