2026-06-10T11:58:35Z https://api.figshare.com/v2/oai
oai:figshare.com:article/26843797 2024-08-28T09:05:16Z category_26314 portal_549 item_type_3 month_year_08_2024
10.5522/04/26843797.v1 https://figshare.com/articles/dataset/Distinctiveness_of_acoustic_signals_from_multiple_lithium-ion_batteries/26843797 https://ndownloader.figshare.com/files/48817609 https://ndownloader.figshare.com/files/48817573 https://ndownloader.figshare.com/files/48817564 Galiounas, Elias Elias Galiounas Jervis, Rhodri Rhodri Jervis Robinson, James James Robinson <![CDATA[Distinctiveness of acoustic signals from multiple lithium-ion batteries]]> Electrochemical energy storage and conversion Batteries Acoustics Ultrasound Machine Learning Generalisation Populations 2024-08-28 2024-08-28 Dataset 2024 University College London 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.

]]>