Accelerated battery life predictions through synergistic combination of physics-based models and machine learning

Kim, Sangwook; Yi, Zonggen; Kunz, M. Ross; Dufek, Eric J.; Tanim, Tanvir R.; Chen, Bor-Rong; Gering, Kevin L.

doi:10.1016/j.xcrp.2022.101023

Title: Accelerated battery life predictions through synergistic combination of physics-based models and machine learning

Journal Article · 01 September 2022 · Cell Reports Physical Science

DOI: https://doi.org/10.1016/j.xcrp.2022.101023 · OSTI ID:1889500

Kim, Sangwook; Yi, Zonggen; Kunz, M. Ross; Dufek, Eric J.; Tanim, Tanvir R.; Chen, Bor-Rong;

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Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office; USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: AC07-05ID14517

OSTI ID:: 1889500

Report Number(s):: INL/JOU-22-66525-Rev000; S2666386422003149; 101023; PII: S2666386422003149

Journal Information:: Cell Reports Physical Science, Journal Name: Cell Reports Physical Science Journal Issue: 9 Vol. 3; ISSN 2666-3864

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Rapid failure mode classification and quantification in batteries: A deep learning modeling framework Kim, Sangwook; Yi, Zonggen; Chen, Bor-Rong Energy Storage Materials, Vol. 45 https://doi.org/10.1016/j.ensm.2021.07.016	journal	March 2022
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Impacts of lean electrolyte on cycle life for rechargeable Li metal batteries Nagpure, Shrikant C.; Tanim, Tanvir R.; Dufek, Eric J. Journal of Power Sources, Vol. 407 https://doi.org/10.1016/j.jpowsour.2018.10.060	journal	December 2018
Model-based lithium deposition detection method using differential voltage analysis Katzer, Felix; Jahn, Leonard; Hahn, Markus Journal of Power Sources, Vol. 512 https://doi.org/10.1016/j.jpowsour.2021.230449	journal	November 2021
Heterogeneous Behavior of Lithium Plating during Extreme Fast Charging Tanim, Tanvir R.; Paul, Partha P.; Thampy, Vivek Cell Reports Physical Science, Vol. 1, Issue 7 https://doi.org/10.1016/j.xcrp.2020.100114	journal	July 2020
A machine learning framework for early detection of lithium plating combining multiple physics-based electrochemical signatures Chen, Bor-Rong; Kunz, M. Ross; Tanim, Tanvir R. Cell Reports Physical Science, Vol. 2, Issue 3 https://doi.org/10.1016/j.xcrp.2021.100352	journal	March 2021
Fast-Charging Aging Considerations: Incorporation and Alignment of Cell Design and Material Degradation Pathways Chinnam, Parameswara R.; Colclasure, Andrew M.; Chen, Bor-Rong ACS Applied Energy Materials, Vol. 4, Issue 9 https://doi.org/10.1021/acsaem.1c01398	journal	September 2021
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25 ENERGY STORAGE
97 MATHEMATICS AND COMPUTING
accelerated battery life prediction
battery aging mechanisms
extreme fast charge
lithium-ion batteries
machine learning
physics-based modeling

Title: Accelerated battery life predictions through synergistic combination of physics-based models and machine learning

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