<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.Change log: Release 2.0 folders added and readme file revised 12/2023.

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，更名为可靠性工程与信息学实验室（Reliability Engineering and Informatics Laboratory，简称REIL））与爱荷华湖社区学院（Iowa Lakes Community College，简称ILCC）联合采集。本数据集旨在研究充电倍率、放电倍率及放电深度三种应力因素对电池容量衰减的影响规律，包含63种独特工况下251颗锂离子聚合物电池（lithium-ion (Li-ion) polymer cells，又称锂聚合物电池）的循环老化测试数据。本次发布仅收录238组电池数据，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。本研究同时感谢牛津大学工程科学系周子浩（Zihao Zhou）与David Howey博士对本出版物的贡献。更新日志：2023年12月新增Release 2.0文件夹并修订了说明文档。