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Electric vehicle charging behavior is the basis for implementing friendly vehicle-grid interaction technologies. Based on the charging session data from 2021 to 2023 in a district of Beijing, this paper distinguishes the DC fast charging and AC slow charging type, and adopts a kernel density estimation probability model to probabilistically model the two features of charging behavior, including the start time and duration time. From the two features of charging behavior, we reveal the law of charging behavior on multiple time scales. The results show that the AC slow charging and DC fast charging behaviors of electric vehicles are differentiated in different time scales, and the variation of AC slow charging behavior is more significant.

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Multi-timescale Feature of EV Charging Behavior of Charging Time and Duration in Beijing Suburb Area

  • 会议论文

  • 发表日期：

    2025年

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  • Yanbin He,
  • Qian Yu,
  • Biao Su,
  • Tongyang Jin,
  • Zhennan Wang,
  • Wenxin Huang

摘要

Electric vehicle charging behavior is the basis for implementing friendly vehicle-grid interaction technologies. Based on the charging session data from 2021 to 2023 in a district of Beijing, this paper distinguishes the DC fast charging and AC slow charging type, and adopts a kernel density estimation probability model to probabilistically model the two features of charging behavior, including the start time and duration time. From the two features of charging behavior, we reveal the law of charging behavior on multiple time scales. The results show that the AC slow charging and DC fast charging behaviors of electric vehicles are differentiated in different time scales, and the variation of AC slow charging behavior is more significant.