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Kevin L. Gering

Government of the United States of America - Energy Storage & Electric Transportation Department

SCHOLARLY PAPERS

3

DOWNLOADS

174

TOTAL CITATIONS

4

Scholarly Papers (3)

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1.

Battery State-of-Health Diagnostics During Fast Cycling Using Physics-Informed Deep-Learning

Downloads 87 (771,553)

Battery State-of-Health Diagnostics During Fast Cycling Using Physics-Informed Deep-Learning

Number of pages: 29 Posted: 21 Jun 2023
Peter J. Weddle, Sangwook Kim, Bor-Rong Chen, Zonggen Yi, Paul Gasper, Andrew Colclasure, Kandler Smith, Kevin L. Gering, Tanvir R. Tanim and Eric J. Dufek
National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, Government of the United States of America - Energy Storage & Electric Transportation Department, Government of the United States of America - Energy Storage & Electric Transportation Department, Government of the United States of America - Energy Storage & Electric Transportation Department, National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, Government of the United States of America - Energy Storage & Electric Transportation Department, Government of the United States of America - Energy Storage & Electric Transportation Department and Government of the United States of America - Energy Storage & Electric Transportation Department
Downloads 45 (1,170,161)

Abstract:

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Li-ion battery model, machine learning, synthetic data, in-situ diagnostics

Battery State-of-Health Diagnostics During Fast Cycling Using Physics-Informed Deep-Learning

Number of pages: 29 Posted: 30 Mar 2023
Peter J. Weddle, Sangwook Kim, Bor-Rong Chen, Zonggen Yi, Paul Gasper, Andrew Colclasure, Kandler Smith, Kevin L. Gering, Tanvir R. Tanim and Eric J. Dufek
National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, Government of the United States of America - Energy Storage & Electric Transportation Department, Government of the United States of America - Energy Storage & Electric Transportation Department, Government of the United States of America - Energy Storage & Electric Transportation Department, National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, Government of the United States of America - Energy Storage & Electric Transportation Department, Government of the United States of America - Energy Storage & Electric Transportation Department and Government of the United States of America - Energy Storage & Electric Transportation Department
Downloads 42 (1,183,247)

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Li-ion battery model, machine learning, synthetic data, in-situ diagnostics

2.

Fast-Charging Lithium-Ion Batteries: Synergy of Carbon Nanotubes and Laser Ablation

Number of pages: 29 Posted: 16 Dec 2024
Geetika Vennam, Avtar Singh, Alison R. Dunlop, Saiful Islam, Peter J. Weddle, Bianca Yi Wen Mak, Ryan J. Tancin, Tanvir R. Tanim, Michael Evans, Stephen E. Trask, Eric J. Dufek, Andrew Colclasure, Donal Finegan, Kandler Smith, Kevin L. Gering, Andrew N. Jansen and ZhenZhen Yang
Government of the United States of America - Idaho National Laboratory, National Laboratory of the Rockies, Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Idaho National Laboratory, National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, Government of the United States of America - Idaho National Laboratory, National Renewable Energy Laboratory, Government of the United States of America - Energy Storage & Electric Transportation Department, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Chemical Sciences and Engineering Division, Government of the United States of America - Energy Storage & Electric Transportation Department, National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, National Laboratory of the Rockies, National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center, Government of the United States of America - Energy Storage & Electric Transportation Department, Government of the United States of America - Chemical Sciences and Engineering Division and Government of the United States of America - Argonne National Laboratory
Downloads 46 (1,121,190)
Citation 4

Abstract:

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Lithium plating, Fast-charging, Lithium-ion batteries, Laser ablation, Single-wall carbon nano tubes.

3.

Predicting Si-Anode Calendar Life Using Machine Learning: Correlating Electrolyte Properties and Electrochemical Signals

Number of pages: 40 Posted: 16 Jun 2025
Maxwell C. Schulze, Nina Prakash, Kevin L. Gering, Andrew Colclasure and Peter J. Weddle
National Renewable Energy Laboratory, National Renewable Energy Laboratory, Government of the United States of America - Energy Storage & Electric Transportation Department, National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center and National Renewable Energy Laboratory - Energy Conversion and Storage Systems Center
Downloads 41 (1,183,237)

Abstract:

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Li-ion battery, Si anode, calendar-life, Advanced Electrolyte Model (AEM), XGBoost