Modeling of Ion Agglomeration in Magnesium Electrolytes and its Impacts on Battery Performance. Issue 14 (29th June 2020)

• Record Type: Journal Article
• Authors: Drews, Janina; Danner, Timo; Jankowski, Piotr; Vegge, Tejs; García Lastra, Juan Maria; Liu, Runyu; Zhao‐Karger, Zhirong; Fichtner, Maximilian; Latz, Arnulf
• Is Part Of: ChemSusChem. Volume 13:Issue 14(2020)
• Page Start: 3599
• Page End: 3604
• Publication Date: 2020-06-29
• Subjects: batteries -- computational chemistry -- electrolytes -- ion aggregation -- magnesium; Green chemistry -- Periodicals; Sustainable engineering -- Periodicals; Chemistry -- Periodicals; Chemical engineering -- Periodicals; 660
• DOI: 10.1002/cssc.202001034
• Languages: English
• ISSNs: 1864-5631

Abstract

Abstract: 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. 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.