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The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

In-Situ Detection of Lithium Plating Using High Precision Coulometry

Open access
Burns, J. C., Stevens, D. A., Dahn, J. R.·2015·Journal of The Electrochemical Society

Abstract

Plating of metallic lithium on the negative electrode in lithium-ion batteries can dramatically reduce cell lifetime, impact cell safety and must be avoided during normal cell operation. Due to the low efficiency of the lithium plating/stripping process relative to the intercalation/deintercalation of lithium from graphite, small amounts of lithium plating can be detected through high accuracy measurements of coulombic efficiency. In this study, coulombic efficiency versus charging rate was measured at different temperatures and for two cell types. Small changes to the coulombic efficiency during cycling resulting from small amounts of lithium plating during the charging process were detected using a high precision charger. Cells were disassembled and examined to confirm the presence of lithium plating at the rates predicted to cause plating. This work shows how high precision coulometry can be used to maximize the performance of the cell through battery management by varying the maximum charge rate as a function of temperature to avoid lithium plating.

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Metadata

Authors
Burns, J. C., Stevens, D. A., & Dahn, J. R.
Venue
Journal of The Electrochemical Society
Published
2015
Volume
162
Issue
6
Pages
A959-A964
ISSN
  • 0013-4651 (ISSN-L)
  • 1945-7111
OpenAlex
W2165413597
Cited by
357
References
9
FWCI
18.10
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: In-Situ Detection of Lithium Plating Using High Precision Coulometry. https://app.cochat.ai/papers/10.1149/2.0621506jes
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Burns, J. C., Stevens, D. A., & Dahn, J. R. (2015). In-Situ Detection of Lithium Plating Using High Precision Coulometry. Journal of The Electrochemical Society. https://doi.org/10.1149/2.0621506jes

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.