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3ε–A Versatile Operando Analytics Toolbox in Energy Storage
[Image: see text] The performance and safety of lithium-ion batteries are plagued by several diverse, nonlinear aging mechanisms influenced by the electrochemical thermal interactions at the electrodes, usage history, and operating conditions. Understanding and deconvoluting the fundamental reaction...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674899/ https://www.ncbi.nlm.nih.gov/pubmed/34926880 http://dx.doi.org/10.1021/acsomega.1c05494 |
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author | Rangarajan, Sobana P. Sarkar, Susmita Barsukov, Yevgen Mukherjee, Partha P. |
author_facet | Rangarajan, Sobana P. Sarkar, Susmita Barsukov, Yevgen Mukherjee, Partha P. |
author_sort | Rangarajan, Sobana P. |
collection | PubMed |
description | [Image: see text] The performance and safety of lithium-ion batteries are plagued by several diverse, nonlinear aging mechanisms influenced by the electrochemical thermal interactions at the electrodes, usage history, and operating conditions. Understanding and deconvoluting the fundamental reaction mechanisms responsible for electrode degradation are key for developing technologies in Li-ion battery diagnostics and prognostics. Hence, there exists a need for high-precision operando techniques to investigate and characterize distinct electrode degradation modes over a gamut of operational variability. Cells embedded with a stable, nonpolarizable reference electrode offer an in situ and operando tool to decouple the complex electrochemical interplay between the electrode pair by measuring individual electrode responses simultaneously with the cell response in the time and frequency domains. This perspective comprehensively looks at 3-electrode (3ε) analytics as a versatile toolbox, highlighting recent techniques and parameters developed with an emphasis on degradation diagnostics and control strategies that is expected to drive the futuristic design of battery management systems. |
format | Online Article Text |
id | pubmed-8674899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-86748992021-12-17 3ε–A Versatile Operando Analytics Toolbox in Energy Storage Rangarajan, Sobana P. Sarkar, Susmita Barsukov, Yevgen Mukherjee, Partha P. ACS Omega [Image: see text] The performance and safety of lithium-ion batteries are plagued by several diverse, nonlinear aging mechanisms influenced by the electrochemical thermal interactions at the electrodes, usage history, and operating conditions. Understanding and deconvoluting the fundamental reaction mechanisms responsible for electrode degradation are key for developing technologies in Li-ion battery diagnostics and prognostics. Hence, there exists a need for high-precision operando techniques to investigate and characterize distinct electrode degradation modes over a gamut of operational variability. Cells embedded with a stable, nonpolarizable reference electrode offer an in situ and operando tool to decouple the complex electrochemical interplay between the electrode pair by measuring individual electrode responses simultaneously with the cell response in the time and frequency domains. This perspective comprehensively looks at 3-electrode (3ε) analytics as a versatile toolbox, highlighting recent techniques and parameters developed with an emphasis on degradation diagnostics and control strategies that is expected to drive the futuristic design of battery management systems. American Chemical Society 2021-12-02 /pmc/articles/PMC8674899/ /pubmed/34926880 http://dx.doi.org/10.1021/acsomega.1c05494 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Rangarajan, Sobana P. Sarkar, Susmita Barsukov, Yevgen Mukherjee, Partha P. 3ε–A Versatile Operando Analytics Toolbox in Energy Storage |
title | 3ε–A Versatile Operando Analytics Toolbox in Energy Storage |
title_full | 3ε–A Versatile Operando Analytics Toolbox in Energy Storage |
title_fullStr | 3ε–A Versatile Operando Analytics Toolbox in Energy Storage |
title_full_unstemmed | 3ε–A Versatile Operando Analytics Toolbox in Energy Storage |
title_short | 3ε–A Versatile Operando Analytics Toolbox in Energy Storage |
title_sort | 3ε–a versatile operando analytics toolbox in energy storage |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674899/ https://www.ncbi.nlm.nih.gov/pubmed/34926880 http://dx.doi.org/10.1021/acsomega.1c05494 |
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