Digitized Electric Vehicle Fast-Charging Profiles by Model (Power vs SOC/SOE, CSV Format) – Version 1

This dataset contains digitized electric vehicle (EV) fast-charging profiles created from 100 publicly available images of charging curves. The profiles were primarily sourced from Fastned, a public EV charging network based in the Netherlands and from InsideEVs, an online media outlet that focuses exclusively on electric vehicles. These data were combined with publicly available attribute information, primarily from manufacturer specification documents, for variables such as usable and gross pack size. Fastned and InsideEVs were accessed between February 2025 - July 2025.<br><br>Each charging profile represents the power (kW) versus the vehicle’s state of charge (<i>SOC</i>), where SOC represents the percentage of usable battery energy relative to the total available pack energy. State of Energy (SOE) is used interchangeably to distinguish the generalized use of SOC to mean amount of available energy. Digitization was performed using WebPlotDigitizer, graphical extraction software to convert image-based plots into csv files with numerical data. Attribute information was accessed between February 2025 - November 2025.<br><br>The resulting dataset enables quantitative comparison of power and state of charge relationships across different vehicle models. It is suitable for use in modeling fast-charging dynamics, charging station throughput, and energy demand predictions, and provides a foundation for further statistical analysis of real-world EV charging heterogeneity.<br><br>1. vehicle-attributes-only contains each csv vehicle as a row with attribute information stored in columns, including the web link to where the attribute was found. <br>2. Profile Images contains the plot images that were digitized. <br>3. main-data-fastcharge-profile-het contains one row for each power and SOC pair taken from the plot images, with attributes of that pair, such as vehicle model, included in subsequent columns. Time is calculated using pack size. <br>4. For ease of use, the individual csv files are also provided.

本数据集包含由100张公开充电曲线图像数字化得到的电动汽车（electric vehicle, EV）快充特性曲线。这些特性曲线主要来源于荷兰公共电动汽车充电网络Fastned，以及专注于电动汽车的在线媒体平台InsideEVs。研究人员将上述数据与公开可得的车辆属性信息相结合，属性信息主要来自厂商规格文档，涵盖可用电池容量与总电池包容量等变量。Fastned与InsideEVs相关数据的采集时间为2025年2月至2025年7月。<br><br>每条充电特性曲线均表示充电功率（千瓦，kW）与车辆荷电状态（state of charge, SOC）的对应关系，其中SOC指可用电池能量占电池包总可用能量的百分比。为区分SOC的通用指代（即可用能量占比），此处也可互换使用能量状态（state of energy, SOE）。数字化工作通过WebPlotDigitizer完成，该图形提取软件可将基于图像的图表转换为包含数值数据的CSV格式文件。车辆属性信息的采集时间为2025年2月至2025年11月。<br><br>本数据集可实现不同车型间充电功率与荷电状态关系的量化对比，适用于快充动力学、充电站吞吐量以及能源需求预测的建模工作，同时可为真实世界电动汽车充电异质性的进一步统计分析提供基础。<br><br>1. 仅车辆属性数据集（vehicle-attributes-only）：以每台车辆为一行，以列存储属性信息，包含属性来源的网页链接。<br>2. 充电曲线图像数据集（Profile Images）：包含所有用于数字化的充电曲线原图。<br>3. 快充特性异质性主数据集（main-data-fastcharge-profile-het）：从充电曲线图像中提取的每一组功率-荷电状态对应数据为一行，后续列包含该组数据的相关属性，如车辆型号。充电时长通过电池包容量计算得出。<br>4. 为便于使用，本数据集还提供了拆分后的单个CSV格式文件。