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

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

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.

Suggested Citation

  • Xie, Fei & Liu, Changzheng & Li, Shengyin & Lin, Zhenhong & Huang, Yongxi, 2018. "Long-term strategic planning of inter-city fast charging infrastructure for battery electric vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 261-276.
    • Handle: RePEc:eee:transe:v:109:y:2018:i:c:p:261-276
    DOI: 10.1016/j.tre.2017.11.014
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