动力电池系统-30℃加热性能测试数据集

本数据集来源于高效无损脉冲加热技术及电池内部温度预测模型研究，主要包括2款乘用车电池包和1款客车电池包在-30℃温度下的加热温升速率、最大温差数据，还包括电池老化模型、热失控预警模型、热阻网络模型、温度预测模型等，数据量为14.2MB。采集时间为2024年4月至5月，测试依据经过行业专家团队评审的《电动汽车用锂离子电池-30℃低温性能及加热性能试验方法》进行。2021YFB2501703-003动力电池系统-30℃加热性能测试数据集包含①测试数据和②模型两个子文件夹。This dataset is derived from research on efficient non-destructive pulsed heating technology and battery internal temperature prediction models. It mainly contains data on heating temperature rise rate and maximum temperature difference of two types of passenger car battery packs and one type of coach battery pack at -30℃. Additionally, it includes battery aging models, thermal runaway warning models, thermal resistance network models, temperature prediction models and other relevant models, with a total data volume of 14.2 MB. The data was collected between April and May 2024, and all tests were conducted in accordance with the "Test Method for Low-Temperature Performance and Heating Performance of Lithium-Ion Batteries for Electric Vehicles at -30℃", which was reviewed and approved by an industry expert team. The 2021YFB2501703-003 Power Battery System -30℃ Heating Performance Test Dataset includes two subfolders: ① test data and ② models.

搜集汇总

背景与挑战

背景概述

该数据集专注于动力电池系统在-30℃极低温环境下的加热性能测试，包含乘用车和客车电池包的加热温升速率、最大温差等实测数据，以及电池老化、热失控预警等多个相关模型。数据采集于2024年4月至5月，依据行业标准试验方法，总数据量约为14.2MB。