Distinctiveness of acoustic signals from multiple lithium-ion batteries

In support of published work.Data to be processed with open access code created by Elias Galiounas.Code repository contains instructions: https://github.com/EliasGaliounas/SonicBattContentsInvestigating whether state-of-charge estimation for a population of 7 batteries is possible using acoustic signals.The raw dataset is provided.Animations included: Acoustic signals obtained from multiple batteries during cycling. Includes time domain, frequency domain, and spectrograms.Trained machine learning models are provided.All data must be processed using the dedicated code repository created for this work, otherwise it is impossible to make sense of it.Battery chemistry: LiCoO2/Gr. Commercial, pouch cells.

本数据集旨在支持已发表的学术成果。数据集的处理需借助由Elias Galiounas所创作的开源代码进行。代码仓库中包含了详细的操作指南：https://github.com/EliasGaliounas/SonicBattContents。研究旨在探讨是否能够通过声学信号对一组7块电池的充电状态进行估算。提供了原始数据集。数据包中包含有多个电池在循环过程中获取的声学信号，包括时域、频域和声谱图。同时提供了训练好的机器学习模型。所有数据处理必须使用为本研究专门创建的代码仓库中的代码，否则将无法理解数据的意义。电池化学成分：LiCoO2/Gr. 商业型，软包电池。