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Illuminating the concentration dependence of charge transfer kinetics in lithium-ion battery blend-electrodes

Schiffler, Marc 1; Ulrich, Julian 2; Lindner, Adrian 1; Weber, André ORCID iD icon 2
1 Institut für Angewandte Materialien (IAM), Karlsruher Institut für Technologie (KIT)
2 Institut für Angewandte Materialien – Elektrochemische Technologien (IAM-ET1), Karlsruher Institut für Technologie (KIT)

Abstract:

Blending of different active materials for lithium-ion electrodes offers great opportunities to combine advantageous properties in order to achieve an overall improved cell performance. While electrochemical models for blend electrodes are readily available, the parametrization remains challenging since the contributions of the two or more blend components are difficult to distinguish and material specific and area specific parameters from literature are not always applicable. Here we present a way to directly extract the charge transfer resistance from a blend electrode using impedance spectroscopy, microstructural analysis and transmission line modeling. To differentiate between the contributions of each active material we make use of the concentration dependence of the exchange current density in intercalation electrodes. We apply and compare two theoretical derivations of concentration-dependent charge transfer kinetics to model the behavior of the two active materials. The first is the common Newman formulation and the second is a thermodynamically more consistent, non-ideal approach. When comparing the two approaches to experimental data, we find a better agreement for the non-ideal approach than for the ideal one. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000183663
Veröffentlicht am 11.08.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Materialien – Elektrochemische Technologien (IAM-ET1)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 09.2025
Sprache Englisch
Identifikator ISSN: 0378-7753
KITopen-ID: 1000183663
Erschienen in Journal of Power Sources
Verlag Elsevier
Band 650
Seiten Art.-Nr. 237496
Nachgewiesen in Web of Science
Dimensions
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