Material parameters affecting Li plating in Si/graphite composite electrodes

Silicon is a frequently used active material in the negative electrode of lithium-ion batteries which provides significant improvements in the energy density. Due to large volume changes during cycling, it is typically mixed with graphite. Understanding the interactions of composite materials during battery operation is key to optimizing battery performance and predicting aging phenomena. Even though lithium plating is a critical degradation process, which influences both lifetime and safety, a systematic analysis of electrochemical material parameters affecting plating in composite electrodes is missing. Therefore, a parameter study is performed using 3D microstructure-resolved simulations. We investigate the influence of critical material parameters such as open-circuit potential, electronic conductivity, chemical diffusion coefficient, and exchange current density in simple and interpretable model geometries. The simulations reveal the importance of chemical diffusion and exchange current density, as well as their ratio, in predicting plating. Finally, we apply the set of material parameters to a complex electrode geometry reconstructed from FIB/SEM tomography data of commercial anode material. The analysis shows that preferential plating on the electrode surface dominates all other factors.

Authors

Institutions

Publication Details

Journal
Electrochimica Acta
Published
2024-09-03
DOI
https://doi.org/10.1016/j.electacta.2024.145010
Citations
10
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
2.09

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Material parameters affecting Li plating in Si/graphite composite electrodes

Wolfgang Menesklou, Timo Danner, Arnulf Latz, Adrian Lindner et al.
10 citations
Electrochimica Acta
Advancements in Battery Materials
2.09
article

Material parameters affecting Li plating in Si/graphite composite electrodes

Wolfgang Menesklou, Timo Danner, Arnulf Latz, Adrian Lindner, Lioba Boveleth
article en
10 citations

Abstract

Silicon is a frequently used active material in the negative electrode of lithium-ion batteries which provides significant improvements in the energy density. Due to large volume changes during cycling, it is typically mixed with graphite. Understanding the interactions of composite materials during battery operation is key to optimizing battery performance and predicting aging phenomena. Even though lithium plating is a critical degradation process, which influences both lifetime and safety, a systematic analysis of electrochemical material parameters affecting plating in composite electrodes is missing. Therefore, a parameter study is performed using 3D microstructure-resolved simulations. We investigate the influence of critical material parameters such as open-circuit potential, electronic conductivity, chemical diffusion coefficient, and exchange current density in simple and interpretable model geometries. The simulations reveal the importance of chemical diffusion and exchange current density, as well as their ratio, in predicting plating. Finally, we apply the set of material parameters to a complex electrode geometry reconstructed from FIB/SEM tomography data of commercial anode material. The analysis shows that preferential plating on the electrode surface dominates all other factors.

Electrochimica ActaVol. 506
Karlsruhe Institute of Technology (DE), Universität Ulm (DE), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Helmholtz-Institute Ulm (DE)
Center of Excellence for Learning in Education, Science and Technology, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie, Projektträger Jülich
Openalex Percentile: Top 13%
Advancements in Battery Materials
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.