Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7427992 | Transportation Research Part E: Logistics and Transportation Review | 2018 | 16 Pages |
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.
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Authors
Fei Xie, Changzheng Liu, Shengyin Li, Zhenhong Lin, Yongxi Huang,