Oxford Battery Degradation Dataset 1
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http://ora.ox.ac.uk/objects/uuid:03ba4b01-cfed-46d3-9b1a-7d4a7bdf6fac
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资源简介:
Lithium-ion (Li-ion) batteries are the most popular energy storage technology in consumer electronics and electric vehicles and are increasingly applied in stationary storage systems. Yet, concerns about safety and reliability remain major obstacles, which must be addressed in order to improve the acceptance of this technology. The gradual degradation of Li-ion cells over time lies at the heart of this problem. Time, usage and environmental conditions lead to performance deterioration and cell failures, which, in rare cases, can be catastrophic due to fires or explosions. The physical and chemical mechanisms responsible for degradation are numerous, complex and interdependent. Our understanding of degradation and failure of Li-ion cells is still very limited and more limited yet are reliable and practical methods for the detection and prediction of these phenomena.
This dataset contains the results of long term cycling of 8 lithium-ion cells in our lab in Oxford. The full details are given in the readme.txt file.
锂离子电池(Lithium-ion, Li-ion)是消费电子与电动汽车领域最主流的储能技术,且正日益拓展应用至固定式储能系统。然而,安全与可靠性层面的顾虑仍是制约其发展的主要障碍,唯有解决这些问题,方能提升该技术的市场接受度。锂离子电芯的长期渐进式衰减正是这一问题的核心根源。时间、使用工况与环境条件会引发电池性能劣化与电芯失效,在极少数情况下甚至会酿成火灾或爆炸等灾难性后果。导致电芯衰减的物理与化学机制繁多且复杂,彼此间还存在相互依存关系。目前我们对锂离子电芯衰减与失效机理的认知仍十分有限,而用于检测与预测此类现象的可靠实用方法则更为匮乏。
本数据集收录了我们位于牛津的实验室中8颗锂离子电芯的长期循环测试结果。详细说明请参阅readme.txt文件。
提供机构:
University of Oxford
创建时间:
2017-06-20
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含8个Kokam 740 mAh锂离子软包电池的长期老化测试数据,旨在研究锂离子电池在时间和使用条件下的性能退化机制。数据集由牛津大学的研究团队创建,包含详细的循环测试结果和相关的文档说明,适用于电池退化研究和预测模型的开发。
以上内容由遇见数据集搜集并总结生成



