<b>ISU-ILCC Battery Aging Dataset</b>

The ISU-ILCC battery aging dataset was collected jointly by the System Reliability and Safety Laboratory at Iowa State University (ISU), now the Reliability Engineering and Informatics Laboratory (REIL) at the University of Connecticut, and Iowa Lakes Community College (ILCC). The dataset is designed to study the dependency of battery capacity fade from three stress factors: charge rate, discharge rate, and depth of discharge. The dataset contains cycle aging data from 251 lithium-ion (Li-ion) polymer cells (also called lithium polymer cells) cycled under 63 unique conditions. The current release contains 238 cells; the other 12 cells have not completed the testing (data from those cells will be included in a future release).We would also like to acknowledge Zihao Zhou and Dr. David Howey from the Department of Engineering Science at the University of Oxford for their contributions to this publication.

本ISU-ILCC电池老化数据集由原爱荷华州立大学系统可靠性与安全实验室（现隶属于康涅狄格大学可靠性工程与信息实验室（REIL））与爱荷华湖社区学院（ILCC）联合采集完成。本数据集旨在研究电池容量衰减与三类应力因素——充电倍率、放电倍率及放电深度——的相关性。该数据集涵盖251组锂离子聚合物电池（Li-ion，亦称锂聚合物电池）在63种独特循环工况下的循环老化数据。本次公开版本包含238组电池的测试数据，剩余12组电池尚未完成测试，其相关数据将在后续版本中发布。此外，我们谨向牛津大学工程科学系周子浩与戴维·豪伊博士对本研究的贡献致以谢意。

搜集汇总

背景与挑战

背景概述

ISU-ILCC电池老化数据集由爱荷华州立大学和爱荷华湖社区学院联合收集，旨在研究充电速率、放电速率和放电深度对电池容量衰减的影响。数据集包含251个锂离子聚合物电池在63种不同条件下的循环老化数据，当前版本包含238个电池的数据。