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Charging Station Planning for Plug-In Electric Vehicles

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Abstract

A novel model for the charging station planning problem of plug-in electric vehicles is proposed in this paper considering the users’ daily travel. With the objective of minimizing the total cost, including the charging stations’ cost (including installing cost and management cost) and the users’ cost (including station access cost and charging cost), the proposed model simultaneously handles the problems where to locate the charging stations and how many chargers to be established in each charging station. Considering that different users may have different perception of station access cost and charging cost, two cases (i.e., homogeneous users and heterogeneous users) are typically investigated. The impacts of different discount rates, operating period of the charging stations, number of electric vehicles and number of charging stations on the location of the charging station are also studied. The simulation results not only show that it is very important to locate the charging stations according to the traveling behavior of users, but also verify the validity of the proposed model.

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Acknowledgments

This work is partly supported by National Basic Research Program of China (2012CB725400), National Natural Science Foundation of China (71501021).

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Authors and Affiliations

  1. Institute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing, 100044, China

    Zhihong Zhu, Ziyou Gao & Haoming Du

  2. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing, 100044, China

    Ziyou Gao

  3. Transportation Management College, Dalian Maritime University, Dalian, 116026, China

    Jianfeng Zheng

Authors
  1. Zhihong Zhu
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  2. Ziyou Gao
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  3. Jianfeng Zheng
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  4. Haoming Du
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Corresponding author

Correspondence to Ziyou Gao.

Additional information

Zhihong Zhu is currently a Ph.D. student in Institute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing, China. She completed master’s degree in Shandong University of Science and Technology, China (2012). Her current research interests include the charging station location problem of EVs and complex system modelling.

Ziyou Gao is a professor in Institute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing, China. He is one of the important leaders in the RP China Complex Systems Theory and Technology. He has more than 20 years of experience in transportation planning and management. His work has been published in a range of transportation and planning journals, including Operation Research, Transportation Research A: Policy and Practice, Transportation Research B: Methodological, Transportation Research C: Emerging Technology, Transportation Research E: Logistics and Transportation Reviews, etc.

Jianfeng Zheng is a professor in Transportation Management College, Dalian Maritime University, Dalian, Liaoning province, China. During the past years, he has focus on teaching and conducting research in the areas of liner shipping, complex system modelling and logistics location. His work has been published in journals such as Transportation Science, Transportation Research part E: Logistics and Transportation Reviews, European Journal of Operational Research, etc.

Haoming Du is currently a Ph.D. student in Institute of Transportation System Science and Engineering, Beijing Jiaotong University. He completed master’s degree in Shandong University of Science and Technology, China (2012). His research interests include public transportation, traffic system modeling and bus fare optimization.

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Zhu, Z., Gao, Z., Zheng, J. et al. Charging Station Planning for Plug-In Electric Vehicles. J. Syst. Sci. Syst. Eng. 27, 24–45 (2018). https://doi.org/10.1007/s11518-017-5352-6

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  • DOI: https://doi.org/10.1007/s11518-017-5352-6

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