Revealing how internal sensors in a smart battery impact the local graphite lithiation mechanism
Abstract Smart batteries, i.e., equipped with internal and external sensors, are emerging as promising solutions to enhance battery state of health and optimize operating conditions. However, for accurate correlations between the evolution of the cell parameters (e.g., temperature, strain) and physi...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-11-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-54656-6 |
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| _version_ | 1832585581156106240 |
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| author | Annabel Olgo Sylvie Genies Romain Franchi Cédric Septet Quentin Jacquet Quentin Berrod Rasmus Palm Pascale Chenevier Elise Villemin Claire Villevieille Nils Blanc Samuel Tardif Olivier Raccurt Sandrine Lyonnard |
| author_facet | Annabel Olgo Sylvie Genies Romain Franchi Cédric Septet Quentin Jacquet Quentin Berrod Rasmus Palm Pascale Chenevier Elise Villemin Claire Villevieille Nils Blanc Samuel Tardif Olivier Raccurt Sandrine Lyonnard |
| author_sort | Annabel Olgo |
| collection | DOAJ |
| description | Abstract Smart batteries, i.e., equipped with internal and external sensors, are emerging as promising solutions to enhance battery state of health and optimize operating conditions. However, for accurate correlations between the evolution of the cell parameters (e.g., temperature, strain) and physicochemical degradation mechanisms, it is crucial to know the reliability of sensors. To address this question, we perform a synchrotron operando X-ray diffraction experiment to investigate the local and global impact of the presence of internal sensors on a commercial prismatic Li-ion battery cell at various (dis)charge rates. We find that, while the overall electrochemical performance is unaffected, the sensors have a substantial impact on the local graphite lithiation kinetics, especially at high (dis)charge rates. These results show the importance of controlling local deformations induced by internal sensors and tailoring the dimensions of these sensors to obtain reliable battery performance indicators and optimize smart batteries. |
| format | Article |
| id | doaj-art-9dd6e6f06b374249b29b15c2db8ffb4d |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-9dd6e6f06b374249b29b15c2db8ffb4d2025-01-26T12:40:09ZengNature PortfolioNature Communications2041-17232024-11-0115111110.1038/s41467-024-54656-6Revealing how internal sensors in a smart battery impact the local graphite lithiation mechanismAnnabel Olgo0Sylvie Genies1Romain Franchi2Cédric Septet3Quentin Jacquet4Quentin Berrod5Rasmus Palm6Pascale Chenevier7Elise Villemin8Claire Villevieille9Nils Blanc10Samuel Tardif11Olivier Raccurt12Sandrine Lyonnard13Univ. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMESUniv. Grenoble Alpes, CEA, LITEN, DEHTUniv. Grenoble Alpes, CEA, LITEN, DEHTUniv. Grenoble Alpes, CEA, LITEN, DEHTUniv. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMESUniv. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMESUniv. Tartu, Institute of ChemistryUniv. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMESUniv. Grenoble Alpes, CEA, LITEN, DEHTUniv. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, Grenoble INP, LEPMIUniv. Grenoble Alpes, CNRS, Grenoble INP, Institut NéelUniv. Grenoble Alpes, CEA, IRIG, MEMUniv. Grenoble Alpes, CEA, LITEN, DEHTUniv. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMESAbstract Smart batteries, i.e., equipped with internal and external sensors, are emerging as promising solutions to enhance battery state of health and optimize operating conditions. However, for accurate correlations between the evolution of the cell parameters (e.g., temperature, strain) and physicochemical degradation mechanisms, it is crucial to know the reliability of sensors. To address this question, we perform a synchrotron operando X-ray diffraction experiment to investigate the local and global impact of the presence of internal sensors on a commercial prismatic Li-ion battery cell at various (dis)charge rates. We find that, while the overall electrochemical performance is unaffected, the sensors have a substantial impact on the local graphite lithiation kinetics, especially at high (dis)charge rates. These results show the importance of controlling local deformations induced by internal sensors and tailoring the dimensions of these sensors to obtain reliable battery performance indicators and optimize smart batteries.https://doi.org/10.1038/s41467-024-54656-6 |
| spellingShingle | Annabel Olgo Sylvie Genies Romain Franchi Cédric Septet Quentin Jacquet Quentin Berrod Rasmus Palm Pascale Chenevier Elise Villemin Claire Villevieille Nils Blanc Samuel Tardif Olivier Raccurt Sandrine Lyonnard Revealing how internal sensors in a smart battery impact the local graphite lithiation mechanism Nature Communications |
| title | Revealing how internal sensors in a smart battery impact the local graphite lithiation mechanism |
| title_full | Revealing how internal sensors in a smart battery impact the local graphite lithiation mechanism |
| title_fullStr | Revealing how internal sensors in a smart battery impact the local graphite lithiation mechanism |
| title_full_unstemmed | Revealing how internal sensors in a smart battery impact the local graphite lithiation mechanism |
| title_short | Revealing how internal sensors in a smart battery impact the local graphite lithiation mechanism |
| title_sort | revealing how internal sensors in a smart battery impact the local graphite lithiation mechanism |
| url | https://doi.org/10.1038/s41467-024-54656-6 |
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