Lithium-Polymer Battery Storage Self-discharge Dataset

This dataset provides Lithium Polymer battery packs storage self-discharge monitoring. The battery pack used is TP5000-6SR80 battery packs from Thunderpower in 6S1P battery configuration. <br> Each battey are charged to different storage SOC and subsequently stored in battery safe container kept at room temperature of approximately 26 degC. Battery Open Circuit Voltage (OCV) measurment of the battery pack and each constituent series cell are taken periodically and the followings are the data files for the OCVs collected for each of the battery pack. <strong>Battery Data:</strong> UUT#1_Cycle01.xlsx [56% SOC; 173 days storage] UUT#1_Cycle02.xlsx [39% SOC; 208 days storage; <em><strong>Battery self-discharge to 0% SOC</strong></em>] UUT#1_Cycle03.xlsx [39% SOC; 164 days storage] UUT#2_Cycle01.xlsx [100% SOC; 172 days storage] UUT#2_Cycle02.xlsx [55% SOC; 372 days storage] UUT#3_Cycle01.xlsx [98% SOC; 119 days storage] UUT#3_Cycle02.xlsx [44% SOC; 372 days storage] UUT#4_Cycle01.xlsx [95% SOC; 119 days storage] UUT#5_Cycle01.xlsx [93% SOC; 119 days storage] UUT#5_Cycle02.xlsx [41% SOC; 372 days storage] UUT#6_Cycle01.xlsx [99% SOC; 45 days storage] UUT#6_Cycle02.xlsx [47% SOC; 372 days storage]

本数据集用于锂聚合物电池组存储过程中的自放电行为监测。本次实验采用的电池组为Thunderpower品牌的TP5000-6SR80锂聚合物电池组，配置为6S1P（6串1并）结构。
将每一组电池充电至不同的存储荷电状态（State of Charge, SOC），随后将其置入恒温约26摄氏度的电池安全存储柜中。研究人员定期采集该电池组及其内部各串联单体电芯的开路电压（Open Circuit Voltage, OCV）数据，以下为各电池组对应的开路电压采集数据文件：
**电池数据：**
UUT#1_Cycle01.xlsx [56% SOC；存储173天]
UUT#1_Cycle02.xlsx [39% SOC；存储208天；**电池自放电至0% SOC**]
UUT#1_Cycle03.xlsx [39% SOC；存储164天]
UUT#2_Cycle01.xlsx [100% SOC；存储172天]
UUT#2_Cycle02.xlsx [55% SOC；存储372天]
UUT#3_Cycle01.xlsx [98% SOC；存储119天]
UUT#3_Cycle02.xlsx [44% SOC；存储372天]
UUT#4_Cycle01.xlsx [95% SOC；存储119天]
UUT#5_Cycle01.xlsx [93% SOC；存储119天]
UUT#5_Cycle02.xlsx [41% SOC；存储372天]
UUT#6_Cycle01.xlsx [99% SOC；存储45天]
UUT#6_Cycle02.xlsx [47% SOC；存储372天]

搜集汇总

背景与挑战

背景概述

该数据集提供了锂聚合物电池组在存储期间的自放电监测数据，包括不同初始充电状态（SOC）的电池在约26°C室温下存储不同天数后的开路电压（OCV）测量结果。数据涵盖了多个电池单元和存储周期，适用于电池性能分析和预测研究。