Zhang Yuanshi, Xu Tongxin, Chen Tao, Hu Qinran, Chen Hongrui, Hu Xukun, Jiang Zilv
School of Electrical Engineering, Southeast University, Nanjing, 210096, China.
Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing, China.
Sci Data. 2025 Apr 16;12(1):643. doi: 10.1038/s41597-025-04982-1.
The charging transaction data of electric vehicle (EV) users is crucial for studying charging market dynamics and formulating effective policies. However, due to factors such as the privacy of EV users and the complex coupling relationships between charging dealers, existing EV charging transaction datasets are plagued by issues such as incompleteness, significant bias, and a lack of real-time information. To address these issues, a real-time charging transaction dataset has been created, comprising 441,077 charging transactions collected from 13 charging stations in China over a 2-year period. The dataset includes detailed data of EV user charging transaction time, price and charging status, as well as the charging termination reasons and weather data for each charging session. This dataset offers references for identifying EV user behaviors and extracting charging fault factors from multiple aspects, supporting research applications in EV charging facility planning, EV charging and discharging management, and charging economic evaluation.
电动汽车（EV）用户的充电交易数据对于研究充电市场动态和制定有效政策至关重要。然而，由于电动汽车用户隐私以及充电经销商之间复杂的耦合关系等因素，现有的电动汽车充电交易数据集存在不完整、偏差大以及缺乏实时信息等问题。为解决这些问题，创建了一个实时充电交易数据集，该数据集包含在两年时间内从中国13个充电站收集的441,077笔充电交易。该数据集包括电动汽车用户充电交易时间、价格和充电状态的详细数据，以及每个充电时段的充电终止原因和天气数据。该数据集为从多个方面识别电动汽车用户行为和提取充电故障因素提供了参考，支持电动汽车充电设施规划、电动汽车充放电管理以及充电经济评估等研究应用。
