TY - JOUR
T1 - Modeling of ion agglomeration in magnesium electrolytes and its impacts on the battery performance
AU - Drews, Janina
AU - Danner, Timo
AU - Jankowski, Piotr
AU - Vegge, Tejs
AU - García Lastra, Juan Maria
AU - Liu, Runyu
AU - Zhao-Karger, Zhirong
AU - Fichtner, Maximilian
AU - Latz, Arnulf
PY - 2020
Y1 - 2020
N2 - 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 we include the formation of clusters in our general model for magnesium batteries. In our model we consistently take into account the effect of cluster formation on transport, thermodynamics and kinetics. The model is used to analyze the effect of ion clustering in a Mg[B(hfip) 4 ] 2 \ DME electrolyte. It becomes apparent that the ion agglomeration is able to explain experimentally observed phenomena at high salt concentrations.
AB - 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 we include the formation of clusters in our general model for magnesium batteries. In our model we consistently take into account the effect of cluster formation on transport, thermodynamics and kinetics. The model is used to analyze the effect of ion clustering in a Mg[B(hfip) 4 ] 2 \ DME electrolyte. It becomes apparent that the ion agglomeration is able to explain experimentally observed phenomena at high salt concentrations.
U2 - 10.1002/cssc.202001034
DO - 10.1002/cssc.202001034
M3 - Journal article
C2 - 32462774
SN - 1864-5631
VL - 13
SP - 3599
EP - 3604
JO - ChemSusChem
JF - ChemSusChem
IS - 14
ER -