Lithium-ion battery impedance data set
Published: 10 October 2022| Version 1 | DOI: 10.17632/hr2ftv6gcn.1
Contributors:
, , , Description
The experimental impedance data were collected in cell potentials as 3.2V, 3.4V, 3.6V, 3.8V, 4.0V, and 4.2V (corresponding state of charge values: 0%, 3%, 8%, 40%, 78%, 100%). ML-regenerated-impedance-data.txt: Impedance data generated by a Machine Learning model. For more information, see this article: "Regeneration of Lithium-ion battery impedance using a novel machine learning framework and minimal empirical data".
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Steps to reproduce
Empirical Impedance data were obtained by using Electrochemical Impedance Spectroscopy set up (Gamry REF3000AE Potentiostat and Echem Analyst) Machine Learning processed data were synthesized by using novel computational techniques on experimental results.
Institutions
Indiana University Bloomington, Eskisehir Osmangazi Universitesi, San Jose State University
Categories
Spectroscopy, Lithium Ion Battery, Impedance