Tracking solid electrolyte interphase dynamics using operando fibre-optic infra-red spectroscopy and multivariate curve regression
Abstract As batteries drive the transition to electrified transportation and energy systems, ensuring their quality, reliability, lifetime, and safety is crucial. While the solid electrolyte interphase (SEI) is known to govern these performance characteristics, its dynamic nature makes understanding...
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Nature Portfolio
2025-01-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-024-55339-y |
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author | Cédric Leau Yu Wang Charlotte Gervillié-Mouravieff Steven T Boles Xiang-Hua Zhang Simon Coudray Catherine Boussard-Plédel Jean-Marie Tarascon |
author_facet | Cédric Leau Yu Wang Charlotte Gervillié-Mouravieff Steven T Boles Xiang-Hua Zhang Simon Coudray Catherine Boussard-Plédel Jean-Marie Tarascon |
author_sort | Cédric Leau |
collection | DOAJ |
description | Abstract As batteries drive the transition to electrified transportation and energy systems, ensuring their quality, reliability, lifetime, and safety is crucial. While the solid electrolyte interphase (SEI) is known to govern these performance characteristics, its dynamic nature makes understanding its nucleation, growth, and composition an ambitious, yet elusive aspiration. This work employs chalcogenide fibres embedded in negative electrode materials for operando Infra-red Fibre-optic Evanescent Wave Spectroscopy (IR-FEWS), combined with Multivariate Curve Resolution by Alternating Least Squares (MCR-ALS) algorithms for spectra analysis. By establishing molecular fingerprints that can be used to identify reaction products, IR-FEWS combined with MCR-ALS enables improved understanding of SEI evolution during cell formation with notable differences stemming from electrolyte or anode material. For example, despite operating at an elevated potential, lithium titanate’s SEI has intrinsic instability, evidenced by continued carbonate formation. This approach leads the hunt for the SEI down a new path, giving empirical formulations theoretical roots. |
format | Article |
id | doaj-art-28f985789f824199861b40c63253230a |
institution | Kabale University |
issn | 2041-1723 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj-art-28f985789f824199861b40c63253230a2025-01-19T12:30:57ZengNature PortfolioNature Communications2041-17232025-01-0116111410.1038/s41467-024-55339-yTracking solid electrolyte interphase dynamics using operando fibre-optic infra-red spectroscopy and multivariate curve regressionCédric Leau0Yu Wang1Charlotte Gervillié-Mouravieff2Steven T Boles3Xiang-Hua Zhang4Simon Coudray5Catherine Boussard-Plédel6Jean-Marie Tarascon7Chimie du Solide et de l’Énergie, UMR 8260, Collège de FranceChimie du Solide et de l’Énergie, UMR 8260, Collège de FranceChimie du Solide et de l’Énergie, UMR 8260, Collège de FranceDepartment of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU)Institut des Sciences Chimiques de Rennes (ISCR), Univ. Rennes, UMR 6226, CNRSInstitut des Sciences Chimiques de Rennes (ISCR), Univ. Rennes, UMR 6226, CNRSInstitut des Sciences Chimiques de Rennes (ISCR), Univ. Rennes, UMR 6226, CNRSChimie du Solide et de l’Énergie, UMR 8260, Collège de FranceAbstract As batteries drive the transition to electrified transportation and energy systems, ensuring their quality, reliability, lifetime, and safety is crucial. While the solid electrolyte interphase (SEI) is known to govern these performance characteristics, its dynamic nature makes understanding its nucleation, growth, and composition an ambitious, yet elusive aspiration. This work employs chalcogenide fibres embedded in negative electrode materials for operando Infra-red Fibre-optic Evanescent Wave Spectroscopy (IR-FEWS), combined with Multivariate Curve Resolution by Alternating Least Squares (MCR-ALS) algorithms for spectra analysis. By establishing molecular fingerprints that can be used to identify reaction products, IR-FEWS combined with MCR-ALS enables improved understanding of SEI evolution during cell formation with notable differences stemming from electrolyte or anode material. For example, despite operating at an elevated potential, lithium titanate’s SEI has intrinsic instability, evidenced by continued carbonate formation. This approach leads the hunt for the SEI down a new path, giving empirical formulations theoretical roots.https://doi.org/10.1038/s41467-024-55339-y |
spellingShingle | Cédric Leau Yu Wang Charlotte Gervillié-Mouravieff Steven T Boles Xiang-Hua Zhang Simon Coudray Catherine Boussard-Plédel Jean-Marie Tarascon Tracking solid electrolyte interphase dynamics using operando fibre-optic infra-red spectroscopy and multivariate curve regression Nature Communications |
title | Tracking solid electrolyte interphase dynamics using operando fibre-optic infra-red spectroscopy and multivariate curve regression |
title_full | Tracking solid electrolyte interphase dynamics using operando fibre-optic infra-red spectroscopy and multivariate curve regression |
title_fullStr | Tracking solid electrolyte interphase dynamics using operando fibre-optic infra-red spectroscopy and multivariate curve regression |
title_full_unstemmed | Tracking solid electrolyte interphase dynamics using operando fibre-optic infra-red spectroscopy and multivariate curve regression |
title_short | Tracking solid electrolyte interphase dynamics using operando fibre-optic infra-red spectroscopy and multivariate curve regression |
title_sort | tracking solid electrolyte interphase dynamics using operando fibre optic infra red spectroscopy and multivariate curve regression |
url | https://doi.org/10.1038/s41467-024-55339-y |
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