多参量融合热失控模型及预警策略数据集

主要面向多参量耦合预警策略的研究，基于不同SOC及不同触发方式状态下的锂离子电池进行热失控实验过程监测，记录锂离子电池在不同热失控状态下的温度、电压和气体、压力、气溶胶参量。分析热失控时各参量的变化特征提取预警特征值后建立热失控三级预警模型及策略。This dataset is developed for research on multi-parameter coupled early warning strategies. It conducts thermal runaway experimental process monitoring on lithium-ion batteries under diverse State of Charge (SOC) conditions and different triggering modes, and records multiple parameters including temperature, voltage, gas components, pressure and aerosol of the batteries across different thermal runaway states. By analyzing the variation characteristics of each parameter during thermal runaway and extracting early warning characteristic values, a three-level early warning model and corresponding strategy for lithium-ion battery thermal runaway are established.

搜集汇总

背景与挑战

背景概述

该数据集专注于锂离子电池热失控预警研究，通过实验监测不同SOC和触发方式下的温度、电压、气体等多参数变化，旨在建立三级预警模型和策略。数据集由合肥国轩高科动力能源有限公司创建，属于国家重点研发计划项目，包含19.28MB的xlsx和docx格式文件，适用于电子技术领域的安全分析与预警系统开发。