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/SonicBatt

Contents

• Investigating 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.