电动汽车运行特征分析数据集

电动汽车运行特征分析数据集主要面向电动汽车充电需求预测研究，基于电动汽车车载TBOX采集车辆位置、剩余电量和出行历程等运行数据，并采用聚类分析、机器学习和模型建模等方法产生数据集，主要记录了电动汽车运行能耗分析数据、电动汽车运行行为特征分析数据、北京市拓扑路网模型数据、北京市功能区域分布仿真预测数据、北京市充电桩分布数据和北京市充电负荷仿真预测数据，数据量是10.25GB。

The Electric Vehicle Operating Characteristic Analysis Dataset is primarily intended for research on electric vehicle charging demand prediction. It is constructed based on operating data including vehicle location, remaining battery power, travel mileage and other relevant metrics collected by the on-board TBOX of electric vehicles, using methods such as cluster analysis, machine learning and model development. The dataset mainly records electric vehicle operating energy consumption analysis data, electric vehicle operating behavior characteristic analysis data, Beijing topological road network model data, Beijing functional area distribution simulation and prediction data, Beijing charging pile distribution data and Beijing charging load simulation and prediction data, with a total data volume of 10.25 GB.

搜集汇总

背景与挑战

背景概述

该数据集面向电动汽车充电需求预测研究，基于车载TBOX采集的车辆运行数据，通过聚类分析和机器学习等方法生成。它包含电动汽车运行能耗与行为特征分析、北京市路网模型和充电设施分布等仿真预测数据，总数据量约为10.25GB。