新能源汽车故障特征数据集

安全要素模式数据集是建立在事故数据模式基础上的数据特征挖掘，同时经过大量正常车辆的模式统计分析得到新能源汽车电池在使用过程中性能是如何衰退的，直到影响安全，最终导致事故发生。安全要素模式数据集包括单安全要素模式数据集、多安全要素模式数据集与安全特征数据集。主要记录了电流、电压、绝
缘电阻、电池温度等安全要素数据。数据量242.0MB。

The Safety Factor Pattern Dataset is developed through data feature mining based on accident data patterns, and obtained via statistical pattern analysis of a large number of normal new energy vehicle datasets, to uncover how the performance of new energy vehicle batteries degrades during use until safety is compromised and accidents eventually occur. The Safety Factor Pattern Dataset encompasses three sub-categories: single safety factor pattern datasets, multi-safety factor pattern datasets, and safety feature datasets. It primarily records safety-related data including current, voltage, insulation resistance, battery temperature and other relevant factors. The total size of the dataset is 242.0 MB.

搜集汇总

背景与挑战

背景概述

该数据集聚焦新能源汽车安全，通过挖掘事故数据模式并分析正常车辆统计，揭示了电池性能衰退如何影响安全并导致事故。数据集包含电流、电压、绝缘电阻、电池温度等关键安全要素，数据量为242.92MB，共11个文件，源自国家重点研发计划项目，旨在支持新能源汽车安全运行协同防控平台的研究。