Abstract

Due to its high energy density, lithium metal is a promising electrode for future energy storage. However, its practical capacity, cyclability and safety heavily depend on controlling its reactivity in contact with liquid electrolytes, which leads to the formation of a solid electrolyte interphase (SEI). In particular, there is a lack of fundamental mechanistic understanding of how the electrolyte composition impacts the SEI formation and its governing processes. Here, we present an in-depth model-based analysis of the initial SEI formation on lithium metal in a carbonate-based electrolyte. Thereby we reach for significantly larger length and time scales than comparable molecular dynamic studies. Our multiscale kinetic Monte Carlo/continuum model shows a layered, mostly inorganic SEI consisting of LiF on top of Li2CO3 and Li after 1 µs. Its formation is traced back to a complex interplay of various electrolyte and salt decomposition processes. We further reveal that low local Li+ concentrations result in a more mosaic-like, partly organic SEI and that a faster passivation of the lithium metal surface can be achieved by increasing the salt concentration. Based on this we suggest design strategies for SEI on lithium metal and make an important step towards knowledge-driven SEI engineering.

The application of Li metal electrodes in rechargeable batteries is limited by inherent high reactivity. Here, the authors provide model-based insights into the composition and formation mechanisms of the solid-electrolyte interphase on the µs-scale and suggest design strategies for the interphase.

Details

Title
Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling
Author
Wagner-Henke, Janika 1   VIAFID ORCID Logo  ; Kuai, Dacheng 2 ; Gerasimov, Michail 1   VIAFID ORCID Logo  ; Röder, Fridolin 3   VIAFID ORCID Logo  ; Balbuena, Perla B. 4   VIAFID ORCID Logo  ; Krewer, Ulrike 1   VIAFID ORCID Logo 

 Karlsruhe Institute of Technology, Institute for Applied Materials — Electrochemical Technologies, Karlsruhe, Germany (GRID:grid.7892.4) (ISNI:0000 0001 0075 5874) 
 Texas A&M University, Department of Chemical Engineering, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082); Texas A&M University, Department of Chemistry, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082) 
 University of Bayreuth, Bavarian Center for Battery Technology (BayBatt), Bayreuth, Germany (GRID:grid.7384.8) (ISNI:0000 0004 0467 6972) 
 Texas A&M University, Department of Chemical Engineering, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082); Texas A&M University, Department of Chemistry, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082); Texas A&M University, Department of Materials Science and Engineering, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082) 
Pages
6823
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2882124300
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.