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Modelling Solvation behaviour in highly concentrated Electrolytes

Schwetlick, Constantin und Schammer, Max und Horstmann, Birger und Latz, Arnulf (2022) Modelling Solvation behaviour in highly concentrated Electrolytes. Computational modelling of batteries: First-principles quantum chemistry meets continuum approaches, 2022-10-23 - 2022-10-26, Burg Reisensburg, Deutschland.

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Kurzfassung

Modelling of electrochemical systems supports designing improved chemistries for battery applications [1]. Electrolytes play an important role for the performance of batteries. As such, highly concentrated electrolytes constitute promising materials. However, due to their complexity, they are difficult to model. Here, we present a continuum transport theory for these materials, which incorporates solvation effects. Dreyer et al. [2] presented an electrolyte model which includes solvation effects. Their approach is based on modified statistics, which leads to an excess chemical potential. However, their model is limited to dilute solutions and fixes the number of solvent molecules bound to each ion. Our focus lies on the behaviour near electrified interfaces, i.e., the electrochemical double layer (EDL). To address this goal, we modify the transport theory for highly correlated electrolytes [3,4], which was recently proposed by our group. This description is based on modelling the free energy of the system. To incorporate solvation effects, we supplement it by an additional interaction energy which accounts for the correct mixing entropy due to modified statistics. The theory is based on two novel parameters – the maximum number of solvent molecules binding to a single ion, and the binding energy. By using a local solvation parameter, we are able to model dissolution of the solvation shell in the EDL by an applied potential. We supplement our analytic discussion by numerical double layer simulations of a ternary electrolyte. Our results capture the relationship of ion-solvent binding energy and the desolvation potential. The model is also able to give qualitative results down to a molecular scale, allowing us to predict coarse grained behaviour of MD-simulations. This shows that solvation effects have a significant influence on the EDL-structure. Literature 1. Armand, M.; Tarascon, J.-M. Nature 2008 451, 652. 2. Dreyer, W. et al Electrochem. Comm. 2014, 43, 75-78. 3. Schammer, M. et al J. Electrochem. Soc. 2021, 168, 026511. 4. Schammer, M. et al J. Phys. Chem. B 2022, 126, 14, 2761–2776

elib-URL des Eintrags:https://elib.dlr.de/192583/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Modelling Solvation behaviour in highly concentrated Electrolytes
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schwetlick, Constantinconstantin.schwetlick (at) dlr.dehttps://orcid.org/0000-0002-5586-8435NICHT SPEZIFIZIERT
Schammer, MaxMax.Schammer (at) dlr.dehttps://orcid.org/0000-0002-9598-8343NICHT SPEZIFIZIERT
Horstmann, BirgerBirger.Horstmann (at) dlr.dehttps://orcid.org/0000-0002-1500-0578163477841
Latz, ArnulfDeutsches Zentrum für Luft- und Raumfahrthttps://orcid.org/0000-0003-1449-8172NICHT SPEZIFIZIERT
Datum:2022
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:electrolytes, modeling, ionic liquids, solvation, batteries
Veranstaltungstitel:Computational modelling of batteries: First-principles quantum chemistry meets continuum approaches
Veranstaltungsort:Burg Reisensburg, Deutschland
Veranstaltungsart:Workshop
Veranstaltungsbeginn:23 Oktober 2022
Veranstaltungsende:26 Oktober 2022
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrssystem
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VS - Verkehrssystem
DLR - Teilgebiet (Projekt, Vorhaben):V - Energie und Verkehr (alt)
Standort: Ulm
Institute & Einrichtungen:Institut für Technische Thermodynamik > Computergestützte Elektrochemie
Hinterlegt von: Schammer, Max
Hinterlegt am:05 Jan 2023 14:57
Letzte Änderung:12 Jul 2024 11:28

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