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4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique
The temporally and spatially resolved tracking of lithium intercalation and electrode degradation processes are crucial for detecting and understanding performance losses during the operation of lithium-batteries. Here, high-throughput X-ray computed tomography has enabled the identification of mech...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005889/ https://www.ncbi.nlm.nih.gov/pubmed/32034126 http://dx.doi.org/10.1038/s41467-019-13943-3 |
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author | Ziesche, Ralf F. Arlt, Tobias Finegan, Donal P. Heenan, Thomas M. M. Tengattini, Alessandro Baum, Daniel Kardjilov, Nikolay Markötter, Henning Manke, Ingo Kockelmann, Winfried Brett, Dan J. L. Shearing, Paul R. |
author_facet | Ziesche, Ralf F. Arlt, Tobias Finegan, Donal P. Heenan, Thomas M. M. Tengattini, Alessandro Baum, Daniel Kardjilov, Nikolay Markötter, Henning Manke, Ingo Kockelmann, Winfried Brett, Dan J. L. Shearing, Paul R. |
author_sort | Ziesche, Ralf F. |
collection | PubMed |
description | The temporally and spatially resolved tracking of lithium intercalation and electrode degradation processes are crucial for detecting and understanding performance losses during the operation of lithium-batteries. Here, high-throughput X-ray computed tomography has enabled the identification of mechanical degradation processes in a commercial Li/MnO(2) primary battery and the indirect tracking of lithium diffusion; furthermore, complementary neutron computed tomography has identified the direct lithium diffusion process and the electrode wetting by the electrolyte. Virtual electrode unrolling techniques provide a deeper view inside the electrode layers and are used to detect minor fluctuations which are difficult to observe using conventional three dimensional rendering tools. Moreover, the ‘unrolling’ provides a platform for correlating multi-modal image data which is expected to find wider application in battery science and engineering to study diverse effects e.g. electrode degradation or lithium diffusion blocking during battery cycling. |
format | Online Article Text |
id | pubmed-7005889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70058892020-02-10 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique Ziesche, Ralf F. Arlt, Tobias Finegan, Donal P. Heenan, Thomas M. M. Tengattini, Alessandro Baum, Daniel Kardjilov, Nikolay Markötter, Henning Manke, Ingo Kockelmann, Winfried Brett, Dan J. L. Shearing, Paul R. Nat Commun Article The temporally and spatially resolved tracking of lithium intercalation and electrode degradation processes are crucial for detecting and understanding performance losses during the operation of lithium-batteries. Here, high-throughput X-ray computed tomography has enabled the identification of mechanical degradation processes in a commercial Li/MnO(2) primary battery and the indirect tracking of lithium diffusion; furthermore, complementary neutron computed tomography has identified the direct lithium diffusion process and the electrode wetting by the electrolyte. Virtual electrode unrolling techniques provide a deeper view inside the electrode layers and are used to detect minor fluctuations which are difficult to observe using conventional three dimensional rendering tools. Moreover, the ‘unrolling’ provides a platform for correlating multi-modal image data which is expected to find wider application in battery science and engineering to study diverse effects e.g. electrode degradation or lithium diffusion blocking during battery cycling. Nature Publishing Group UK 2020-02-07 /pmc/articles/PMC7005889/ /pubmed/32034126 http://dx.doi.org/10.1038/s41467-019-13943-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ziesche, Ralf F. Arlt, Tobias Finegan, Donal P. Heenan, Thomas M. M. Tengattini, Alessandro Baum, Daniel Kardjilov, Nikolay Markötter, Henning Manke, Ingo Kockelmann, Winfried Brett, Dan J. L. Shearing, Paul R. 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique |
title | 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique |
title_full | 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique |
title_fullStr | 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique |
title_full_unstemmed | 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique |
title_short | 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique |
title_sort | 4d imaging of lithium-batteries using correlative neutron and x-ray tomography with a virtual unrolling technique |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005889/ https://www.ncbi.nlm.nih.gov/pubmed/32034126 http://dx.doi.org/10.1038/s41467-019-13943-3 |
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