电动汽车事故分析数据

本数据集基于电动汽车实时运行数据，涵盖车辆状态、电池参数、驱动系统、故障报警等多维度信息，时间跨度为连续10分钟的高频采样（每秒1次）。数据包含总电压、电流、SOC（电池剩余电量）、温度、位置坐标（北纬东经）等关键指标，并记录了内外短路、绝缘故障、电池压差异常等五类典型事故类型的实时监测结果。本数据集可为电动汽车安全评估、故障诊断算法优化及电池管理系统改进提供高可靠性支持，具有重要的工程应用价值。

This dataset is constructed based on real-time operating data of electric vehicles (EVs), covering multi-dimensional information such as vehicle states, battery parameters, drive systems, and fault alarms. The data is collected with high-frequency sampling (1 sample per second) over a continuous 10-minute time span. Key indicators included in the dataset are total voltage, current, SOC (State of Charge), temperature, and position coordinates (latitude and longitude). Additionally, real-time monitoring results for five typical accident types are recorded, namely internal and external short circuits, insulation faults, and abnormal battery voltage differences. This dataset can provide highly reliable support for electric vehicle safety assessment, fault diagnosis algorithm optimization, and battery management system improvement, holding significant engineering application value.

搜集汇总

背景与挑战

背景概述

该数据集包含电动汽车实时运行数据，涵盖车辆状态、电池参数等多维度信息，时间跨度为连续10分钟的高频采样（每秒1次），记录了五类典型事故类型的实时监测结果，适用于电动汽车安全评估和故障诊断算法优化。