Methods and systems for diagnosis of failure mechanisms and for prediction of lifetime of metal batteries
Abstract
Methods for diagnosing failure mechanisms and for predicting lifetime of metal batteries include monitoring rest voltage and Coulombic Efficiency over relatively few cycles to provide profiles that indicate, by the trends thereof, a particular failure mechanism (e.g., electrolyte depletion, loss of metal inventory, increased cell impedance). The methods also include cycling over relatively few cycles an anode-free cell, having the same cathode and electrolyte as the metal battery, but with a current collector instead of the anode. Discharge capacity is monitored and profiled, and a discharge capacity curve is fitted to the discharge capacity profile to discern a capacity retention per cycle. The lifetime of the metal battery is determined using the capacity retention per cycle discerned from the anode-free cell. Related systems include a metal-based battery and an anode-free cell or a battery cell reconfigurable between a metal-based and an anode-free cell.
- Inventors:
- Issue Date:
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 2222246
- Patent Number(s):
- 11740297
- Application Number:
- 17/249,158
- Assignee:
- Battelle Energy Alliance, LLC (Idaho Falls, ID)
- DOE Contract Number:
- AC07-05ID14517
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 02/22/2021
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Li, Bin, Dufek, Eric J., and Gao, Ningshengjie. Methods and systems for diagnosis of failure mechanisms and for prediction of lifetime of metal batteries. United States: N. p., 2023.
Web.
Li, Bin, Dufek, Eric J., & Gao, Ningshengjie. Methods and systems for diagnosis of failure mechanisms and for prediction of lifetime of metal batteries. United States.
Li, Bin, Dufek, Eric J., and Gao, Ningshengjie. Tue .
"Methods and systems for diagnosis of failure mechanisms and for prediction of lifetime of metal batteries". United States. https://www.osti.gov/servlets/purl/2222246.
@article{osti_2222246,
title = {Methods and systems for diagnosis of failure mechanisms and for prediction of lifetime of metal batteries},
author = {Li, Bin and Dufek, Eric J. and Gao, Ningshengjie},
abstractNote = {Methods for diagnosing failure mechanisms and for predicting lifetime of metal batteries include monitoring rest voltage and Coulombic Efficiency over relatively few cycles to provide profiles that indicate, by the trends thereof, a particular failure mechanism (e.g., electrolyte depletion, loss of metal inventory, increased cell impedance). The methods also include cycling over relatively few cycles an anode-free cell, having the same cathode and electrolyte as the metal battery, but with a current collector instead of the anode. Discharge capacity is monitored and profiled, and a discharge capacity curve is fitted to the discharge capacity profile to discern a capacity retention per cycle. The lifetime of the metal battery is determined using the capacity retention per cycle discerned from the anode-free cell. Related systems include a metal-based battery and an anode-free cell or a battery cell reconfigurable between a metal-based and an anode-free cell.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Aug 29 00:00:00 EDT 2023},
month = {Tue Aug 29 00:00:00 EDT 2023}
}
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