A Quantitative Failure Analysis on Capacity Fade in Rechargeable Lithium Metal Cells
Abstract
Rechargeable lithium battery (RLB) technology is transforming portable devices, vehicle electrification, and grid modernization. To make RLB durable, reliable and safe, conducting failure mode and effect analysis (FMEA) to identify failure mechanism under the operating conditions is very desirable. However, this ability is often overlooked or even lacking. The failure analysis (FA) is often conducted by laboratory testing and postmortem analysis, and the knowledge typically empirical. Here we present a quantitative approach for FMEA that can reveal how failure modes and effects reduce the capacity of a RLB. This approach is based on the state of the battery for FMEA, contrary to the conventional approach based on operating or testing conditions. The key aspect of this FMEA method is to convert the experimental results to a state-of-charge (SOC)-based analytic methodology. Such a conversion can separate the thermodynamic and kinetic attributes of capacity fade based on compositional correspondence in the electrode, so the loss and the decreased utilization of the active materials can be determined respectively.
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V); USDOE Laboratory Directed Research and Development (LDRD) Program
- OSTI Identifier:
- 1604082
- Report Number(s):
- INL/JOU-19-55263-Rev001
Journal ID: ISSN 1945-7111; TRN: US2104197
- Grant/Contract Number:
- AC07-05ID14517
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of the Electrochemical Society (Online)
- Additional Journal Information:
- Journal Name: Journal of the Electrochemical Society (Online); Journal Volume: 167; Journal Issue: 9; Journal ID: ISSN 1945-7111
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 25 ENERGY STORAGE; Battery diagnostics; Capacity retention; Failure mode and effect analysis; Electrochemical analytic diagnosis
Citation Formats
Zhang, Yulun, Wang, Qiang, Liaw, Boryann, Nagpure, Shrikant C., Dufek, Eric J., and Dickerson, Charles C. A Quantitative Failure Analysis on Capacity Fade in Rechargeable Lithium Metal Cells. United States: N. p., 2020.
Web. doi:10.1149/1945-7111/ab6cf4.
Zhang, Yulun, Wang, Qiang, Liaw, Boryann, Nagpure, Shrikant C., Dufek, Eric J., & Dickerson, Charles C. A Quantitative Failure Analysis on Capacity Fade in Rechargeable Lithium Metal Cells. United States. https://doi.org/10.1149/1945-7111/ab6cf4
Zhang, Yulun, Wang, Qiang, Liaw, Boryann, Nagpure, Shrikant C., Dufek, Eric J., and Dickerson, Charles C. Thu .
"A Quantitative Failure Analysis on Capacity Fade in Rechargeable Lithium Metal Cells". United States. https://doi.org/10.1149/1945-7111/ab6cf4. https://www.osti.gov/servlets/purl/1604082.
@article{osti_1604082,
title = {A Quantitative Failure Analysis on Capacity Fade in Rechargeable Lithium Metal Cells},
author = {Zhang, Yulun and Wang, Qiang and Liaw, Boryann and Nagpure, Shrikant C. and Dufek, Eric J. and Dickerson, Charles C.},
abstractNote = {Rechargeable lithium battery (RLB) technology is transforming portable devices, vehicle electrification, and grid modernization. To make RLB durable, reliable and safe, conducting failure mode and effect analysis (FMEA) to identify failure mechanism under the operating conditions is very desirable. However, this ability is often overlooked or even lacking. The failure analysis (FA) is often conducted by laboratory testing and postmortem analysis, and the knowledge typically empirical. Here we present a quantitative approach for FMEA that can reveal how failure modes and effects reduce the capacity of a RLB. This approach is based on the state of the battery for FMEA, contrary to the conventional approach based on operating or testing conditions. The key aspect of this FMEA method is to convert the experimental results to a state-of-charge (SOC)-based analytic methodology. Such a conversion can separate the thermodynamic and kinetic attributes of capacity fade based on compositional correspondence in the electrode, so the loss and the decreased utilization of the active materials can be determined respectively.},
doi = {10.1149/1945-7111/ab6cf4},
journal = {Journal of the Electrochemical Society (Online)},
number = 9,
volume = 167,
place = {United States},
year = {2020},
month = {2}
}
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