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Saurabh Saxena

Government of the United States of America - Argonne National Laboratory

9700 S. Cass Avenue

Argonne, IL 60439

United States

  • Government of the United States of America - Argonne National Laboratory

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Feature Engineering for Machine Learning Enabled Early Prediction of Battery Lifetime

Number of pages: 30 Posted: 14 Dec 2021
Noah H. Paulson, Joseph Kubal, Logan Ward, Saurabh Saxena, Wenquan Lu and Susan J. Babinec
Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory and Government of the United States of America - Argonne National Laboratory
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Lithium-ion, Battery, life prediction, State of Health, Machine Learning, feature engineering