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Electric Vehicle Charging Facility Planning Based on Flow Demand—A Case Study

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  • Cheng Wang

    (National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
    Beijing CATARC Science and Technology CO., Ltd., Beijing 100070, China
    Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
    These authors contributed equally to this work.)

  • Zhou Gao

    (Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
    These authors contributed equally to this work.)

  • Peng Yang

    (Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China)

  • Zhenpo Wang

    (National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Zhiheng Li

    (Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China)

Abstract

The location of electric vehicle charging facilities is of great significance in promoting the use of electric vehicles. Most existing electric vehicle location models, including the flow refueling location model (FRLM) and its flexible reformulation (FRFRLM), are based on flow demand. At present, these models cannot effectively deal with large-scale traffic networks within a limited time, and there has been little comparison of their relative benefits and limitations. Additionally, there have been few evaluations of the actual construction and location of charging facilities in cities. This paper describes an algorithm that can solve the large-scale transportation network problem within a reasonable time. Using this algorithm, the FRLM and FRFRLM models are compared in a case study focused on Jiading District, Shanghai, China, which provides some direction for the future development of flow demand models. Finally, to evaluate the actual construction of urban charging facilities, this paper presents an algorithm that can map the actual charging facilities to the transportation network, and compares the actual construction situation with the model output. This enables a comprehensive evaluation of the actual construction of charging facilities and provides guidance for future construction.

Suggested Citation

  • Cheng Wang & Zhou Gao & Peng Yang & Zhenpo Wang & Zhiheng Li, 2021. "Electric Vehicle Charging Facility Planning Based on Flow Demand—A Case Study," Sustainability, MDPI, vol. 13(9), pages 1-23, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4952-:d:545269
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    References listed on IDEAS

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