Modeling of Ion Agglomeration in Magnesium Electrolytes and its Impacts on Battery Performance

peer-reviewed
Erstveröffentlichung
2020-06-29Authors
Drews, Janina
Danner, Timo
Jankowski, Piotr
Vegge, Tejs
García Lastra, Juan Maria
Wissenschaftlicher Artikel
Published in
ChemSusChem ; 13 (2020), 14. - S. 3599-3604. - ISSN 1864-5631. - eISSN 1864-564X
Link to original publication
https://dx.doi.org/10.1002/cssc.202001034Faculties
Fakultät für NaturwissenschaftenInstitutions
Institut für ElektrochemieExternal cooperations
Helmholtz-Institut UlmDeutsches Zentrum für Luft- und Raumfahrt
Technical University of Denmark
Karlsruher Institut für Technologie
Document version
published version (publisher's PDF)Abstract
Raised overpotential by clustering?! A new continuum model that considers ion aggregation is presented and applied to magnesium tetrakis(hexafluoroisopropyloxy)borate in dimethoxyethane as electrolyte. Thereby, the properties of ion clusters and their effects on the battery performance are analyzed. Simulations imply that cluster formation can be essential to explain the concentration-dependence of experimental data. The choice of electrolyte has a crucial influence on the performance of rechargeable magnesium batteries. In multivalent electrolytes an agglomeration of ions to pairs or bigger clusters may affect the transport in the electrolyte and the reaction at the electrodes. In this work the formation of clusters is included in a general model for magnesium batteries. In this model, the effect of cluster formation on transport, thermodynamics and kinetics is consistently taken into account. The model is used to analyze the effect of ion clustering in magnesium tetrakis(hexafluoroisopropyloxy)borate in dimethoxyethane as electrolyte. It becomes apparent that ion agglomeration is able to explain experimentally observed phenomena at high salt concentrations.
DFG Project THU
EXC 2154 / POLiS / POLiS - Post Lithium Storage Cluster of Excellence / DFG / 390874152
Is supplemented by
https://chemistry-europe.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fcssc.202001034&file=cssc202001034-sup-0001-misc_information.pdfSubject headings
[GND]: Batterie | Elektrolyt | Magnesium[LCSH]: Electric batteries | Computational chemistry | Electrolytes | Magnesium
[Free subject headings]: ion aggregation
[DDC subject group]: DDC 540 / Chemistry & allied sciences
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Show full item recordDOI & citation
Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-41203
Drews, Janina et al. (2022): Modeling of Ion Agglomeration in Magnesium Electrolytes and its Impacts on Battery Performance. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-41203
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