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Joseph Kubal

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

SCHOLARLY PAPERS

2

DOWNLOADS

347

TOTAL CITATIONS

4

Scholarly Papers (2)

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1.

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
Downloads 270 (282,737)
Citation 4

Abstract:

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Lithium-ion, Battery, life prediction, State of Health, Machine Learning, feature engineering

2.

Designing Automotive Battery Packs: sensitivity, case studies and insights using BatPaC

Number of pages: 71 Posted: 10 Nov 2025
Shabbir Ahmed, Kevin W. Knehr, Mohammed B. Effat and Joseph Kubal
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
Downloads 77 (852,604)

Abstract:

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electric vehicle, batteries, energy storage, lithium-ion, BatPaC, techno-economic analysis, material intensity