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Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging
Capacity fade in lithium-ion battery electrodes can result from a degradation mechanism in which the carbon black-binder network detaches from the active material. Here we present two approaches to visualize and quantify this detachment and use the experimental results to develop and validate a mode...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002379/ https://www.ncbi.nlm.nih.gov/pubmed/29904154 http://dx.doi.org/10.1038/s41467-018-04477-1 |
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author | Müller, Simon Pietsch, Patrick Brandt, Ben-Elias Baade, Paul De Andrade, Vincent De Carlo, Francesco Wood, Vanessa |
author_facet | Müller, Simon Pietsch, Patrick Brandt, Ben-Elias Baade, Paul De Andrade, Vincent De Carlo, Francesco Wood, Vanessa |
author_sort | Müller, Simon |
collection | PubMed |
description | Capacity fade in lithium-ion battery electrodes can result from a degradation mechanism in which the carbon black-binder network detaches from the active material. Here we present two approaches to visualize and quantify this detachment and use the experimental results to develop and validate a model that considers how the active particle size, the viscoelastic parameters of the composite electrode, the adhesion between the active particle and the carbon black-binder domain, and the solid electrolyte interphase growth rate impact detachment and capacity fade. Using carbon-silicon composite electrodes as a model system, we demonstrate X-ray nano-tomography and backscatter scanning electron microscopy with sufficient resolution and contrast to segment the pore space, active particles, and carbon black-binder domain and quantify delamination as a function of cycle number. The validated model is further used to discuss how detachment and capacity fade in high-capacity materials can be minimized through materials engineering. |
format | Online Article Text |
id | pubmed-6002379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60023792018-06-18 Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging Müller, Simon Pietsch, Patrick Brandt, Ben-Elias Baade, Paul De Andrade, Vincent De Carlo, Francesco Wood, Vanessa Nat Commun Article Capacity fade in lithium-ion battery electrodes can result from a degradation mechanism in which the carbon black-binder network detaches from the active material. Here we present two approaches to visualize and quantify this detachment and use the experimental results to develop and validate a model that considers how the active particle size, the viscoelastic parameters of the composite electrode, the adhesion between the active particle and the carbon black-binder domain, and the solid electrolyte interphase growth rate impact detachment and capacity fade. Using carbon-silicon composite electrodes as a model system, we demonstrate X-ray nano-tomography and backscatter scanning electron microscopy with sufficient resolution and contrast to segment the pore space, active particles, and carbon black-binder domain and quantify delamination as a function of cycle number. The validated model is further used to discuss how detachment and capacity fade in high-capacity materials can be minimized through materials engineering. Nature Publishing Group UK 2018-06-14 /pmc/articles/PMC6002379/ /pubmed/29904154 http://dx.doi.org/10.1038/s41467-018-04477-1 Text en © The Author(s) 2018 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 Müller, Simon Pietsch, Patrick Brandt, Ben-Elias Baade, Paul De Andrade, Vincent De Carlo, Francesco Wood, Vanessa Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging |
title | Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging |
title_full | Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging |
title_fullStr | Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging |
title_full_unstemmed | Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging |
title_short | Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging |
title_sort | quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002379/ https://www.ncbi.nlm.nih.gov/pubmed/29904154 http://dx.doi.org/10.1038/s41467-018-04477-1 |
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