电动汽车充电行为特征辨识及溯因分析数据集

电动汽车充电行为特征辨识及溯因分析数据集包括“累计车辆数量”、“月总充电量”、“平均功率小于7kW的充电量”、“月均充电次数”、“月均充电时长”、“月均充电开始SOC”、“单次充电时长平均值”、“月均行驶里程”八个特征项，每项特征包含南京、无锡、苏州三个城市2022、2023两年共24个月的数据，并且根据车辆用途分为了“乘用车”、“客车”、“专用车”三类，数据的时间精度为月。The dataset for identification and abductive analysis of electric vehicle charging behavior characteristics consists of eight feature items: "cumulative number of vehicles", "monthly total charging volume", "charging volume with average power less than 7 kW", "monthly average number of charging times", "monthly average charging duration", "monthly average initial SOC at the start of charging", "average single charging duration", and "monthly average driving mileage". The data covers 24 consecutive months across 2022 and 2023 for three Chinese cities: Nanjing, Wuxi and Suzhou. It is categorized into three vehicle types based on usage: "passenger cars", "buses" and "special-purpose vehicles", with the temporal resolution of the data being monthly.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于电动汽车充电行为特征辨识与溯因分析，包含累计车辆数量、月总充电量等八个特征项，覆盖南京、无锡、苏州三个城市2022和2023年共24个月的数据，并按车辆用途分为乘用车、客车、专用车三类，数据时间精度为月。