Supporting data for "Fundamental Investigations on the Ionic Transport and Thermodynamic Properties of Non-aqueous Potassium-Ion Electrolytes"

This is the dataset of the electrochemical, densitometry and XPS data for our publication "Fundamental Investigations on the Ionic Transport and Thermodynamic Properties of Non-aqueous Potassium-Ion Electrolytes". This archive contains the raw data and python scripts used in the analysis a...

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Bibliographische Detailangaben
Hauptverfasser: Dhir, Shobhan, Jagger, Ben, Maguire, Alen, Pasta, Mauro
Format: Dataset
Sprache:eng
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Zusammenfassung:This is the dataset of the electrochemical, densitometry and XPS data for our publication "Fundamental Investigations on the Ionic Transport and Thermodynamic Properties of Non-aqueous Potassium-Ion Electrolytes". This archive contains the raw data and python scripts used in the analysis and modelling for the presentation of the results in this manuscript. Abstract of manuscript: Non-aqueous potassium-ion batteries (KIBs) represent a promising complementary technology to lithium-ion batteries due to the availability and low cost of potassium. Moreover, the lower charge density of K+ compared to Li+ favour the ion-transport properties in the liquid electrolyte solutions, thus, making KIBs potentially capable of improved rate capability and low-temperature performance. However, a comprehensive study of the ionic transport and thermodynamic properties of non-aqueous K-ion electrolyte solutions is not available. Here we report the full characterisation of the ionic transport and thermodynamic properties of a model non-aqueous K-ion electrolyte solution system comprising potassium bis(fluorosulfonyl)imide (KFSI) salt and 1,2-dimethoxyethane (DME) solvent and compare it with its Li-ion equivalent (i.e., LiFSI:DME), over the concentration range 0.25–2 molal. Using tailored K metal electrodes, we demonstrate that KFSI:DME electrolyte solutions show higher salt diffusion coefficients and cation transference numbers than LiFSI:DME solutions. Finally, via Doyle-Fuller-Newman (DFN) simulations, we investigate the K-ion and Li-ion storage properties for K||graphite and Li||graphite cells.
DOI:10.5281/zenodo.8014256