Evidence map›Paper›PMID 39592586›Full record

ArticleNature communications2024

Revealing how internal sensors in a smart battery impact the local graphite lithiation mechanism.

Annabel Olgo, Sylvie Genies, Romain Franchi, Cédric Septet, Quentin Jacquet, Quentin Berrod, Rasmus Palm, Pascale Chenevier, Elise Villemin, Claire Villevieille and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Annabel OlgoUniv. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMES, Grenoble, France.ORCID http://orcid.org/0009-0003-8248-9582
Sylvie GeniesUniv. Grenoble Alpes, CEA, LITEN, DEHT, Grenoble, France.
Romain FranchiUniv. Grenoble Alpes, CEA, LITEN, DEHT, Grenoble, France.
Cédric SeptetUniv. Grenoble Alpes, CEA, LITEN, DEHT, Grenoble, France.
Quentin JacquetUniv. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMES, Grenoble, France.ORCID http://orcid.org/0000-0002-3684-9423
Quentin BerrodUniv. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMES, Grenoble, France.ORCID http://orcid.org/0000-0003-3254-1779
Rasmus PalmUniv. Tartu, Institute of Chemistry, Tartu, Estonia.
Pascale ChenevierUniv. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMES, Grenoble, France.ORCID http://orcid.org/0000-0003-4358-2162
Elise VilleminUniv. Grenoble Alpes, CEA, LITEN, DEHT, Grenoble, France.
Claire VillevieilleUniv. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI, Grenoble, France.ORCID http://orcid.org/0000-0001-8782-4800
Nils BlancUniv. Grenoble Alpes, CNRS, Grenoble INP, Institut Néel, Grenoble, France.
Samuel TardifUniv. Grenoble Alpes, CEA, IRIG, MEM, Grenoble, France.ORCID http://orcid.org/0000-0002-1786-8581
Olivier RaccurtUniv. Grenoble Alpes, CEA, LITEN, DEHT, Grenoble, France. olivier.raccurt@cea.fr.ORCID http://orcid.org/0000-0002-2517-3413
Sandrine LyonnardUniv. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMES, Grenoble, France. sandrine.lyonnard@cea.fr.ORCID http://orcid.org/0000-0003-2580-8439

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Future and Emerging Technologies (H2020 Excellent Science - Future and Emerging Technologies) 955930EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Future and Emerging Technologies (H2020 Excellent Science - Future and Emerging Technologies) 957189EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Future and Emerging Technologies (H2020 Excellent Science - Future and Emerging Technologies) 957213
6 · The paper itself

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.

Identifiers

PMID39592586
PMCPMC11599724

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.