EV Energy Consumption and Speed Profiles Dataset (EVECS)

Two electric vehicles were used in this study, namely the Renault Zoe Q210 2016 and the Renault Kangoo ZE 2018. The EVs were equipped with data loggers connected to the CAN bus recording data on the HV battery current, voltage, SoC, and instantaneous speeds. We also used a GPS logger mobile application to record GPS tracks and altitudes. Data were collected from six drivers (four men and two women) with varying levels of driving experience (from less than two months to more than 10 years) on a variety of roads and driving conditions for nearly 200 kilometers本研究共采用两款纯电动汽车（Electric Vehicle, EV），分别为2016款雷诺Zoe Q210与2018款雷诺Kangoo ZE。两款车辆均搭载连接至控制器局域网（Controller Area Network, CAN）总线的数据记录仪，可采集高压（High Voltage, HV）蓄电池的电流、电压、荷电状态（State of Charge, SoC）以及瞬时车速数据。此外，本研究还使用全球定位系统（Global Positioning System, GPS）记录仪移动应用程序，以记录GPS轨迹与海拔高度。数据采集工作由六名驾驶员完成，其中男性四名、女性两名，驾龄跨度从不足两个月至十年以上不等；采集过程涵盖多种道路类型与驾驶工况，总行驶里程近200公里。

搜集汇总

背景与挑战

背景概述

该数据集记录了雷诺Zoe和Kangoo两款电动汽车在近200公里行驶中的能耗与速度曲线数据，通过CAN总线和GPS收集了电池电流、电压、SoC、瞬时速度以及地理位置信息。数据来自六名驾驶经验不同的司机，覆盖多种道路和驾驶条件，适用于电动汽车能耗分析、续航预测和机器学习建模研究。