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Sangwook Kim

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

SCHOLARLY PAPERS

3

DOWNLOADS

242

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Calendar Life of Lithium Metal Batteries: Accelerated Aging and Failure Analysis

Number of pages: 26 Posted: 19 Sep 2023
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 - Energy Storage & Electric Transportation Department, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Energy Storage & Electric Transportation Department, Government of the United States of America - Idaho National Laboratory, Forschungszentrum Jülich GmbH, State University of New York (SUNY), Stony Brook, State University of New York (SUNY), Stony Brook, Brookhaven National Laboratory and Brookhaven National Laboratory
Downloads 114 (621,896)

Abstract:

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Lithium metal battery, calendar life, solid electrolyte interphase, accelerated aging

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

Number of pages: 29 Posted: 21 Jun 2023
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
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 43 (1,183,247)

Abstract:

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

3.

A Deep Learning-Based Battery Sizing Optimization Tool for Hybridizing Generation Plants

Number of pages: 40 Posted: 13 Jul 2023
Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory, 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 - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Argonne National Laboratory and Government of the United States of America - Argonne National Laboratory
Downloads 40 (1,183,237)

Abstract:

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Renewable energy, Energy storage, Hydropower, Deep learning, Battery sizing optimization.