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Blend Electrodes in Lithium-Ion Batteries : Investigation of Inhomogeneities Using a Spatially Resolved Transmission Line Model

Title data

Schamel, Maximilian ; Knorr, Julian ; Kinberger, Andrea ; Danzer, Michael A.:
Blend Electrodes in Lithium-Ion Batteries : Investigation of Inhomogeneities Using a Spatially Resolved Transmission Line Model.
In: Batteries & Supercaps. Vol. 8 (2025) Issue 11 . - e202500147.
ISSN 2566-6223
DOI: https://doi.org/10.1002/batt.202500147

Official URL: Volltext

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Abstract in another language

Blend electrodes are used in lithium-ion batteries to increase the performance by combining two active materials, such as silicon (Si) or silicon oxide (SiOx) and graphite (Gr), for the negative electrode. In-depth knowledge of the complex interactions between the materials is essential to understand how inhomogeneities and local peaks of the intercalation current arise and how they can be prevented. This work presents a spatially resolved transmission line model developed to describe the electrochemical behavior of blend electrodes. Parameterization and model validation are carried out for a Gr/SiOx anode. Simulation results are used to investigate inhomogeneities in local states during lithiation at different C-rates. A special focus is put on stress indicators as precursors for accelerated ageing like local material-specific C-rates and spatial gradients of the degree of lithiation. Thus, the modeling approach is a tool for both the description of the properties of blend electrodes and for simulation-based balancing of the active materials’ capacities within blend electrodes.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: blend electrode; inhomogeneities; lithium-ion battery; stress; transmission line model
Institutions of the University: Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Electrical Energy Systems
Faculties > Faculty of Engineering Science > Chair Electrical Energy Systems > Chair Electrical Energy Systems - Univ.-Prof. Dr.-Ing. Michael Danzer
Research Institutions > Central research institutes > Bayerisches Zentrum für Batterietechnik - BayBatt
Research Institutions
Research Institutions > Central research institutes
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences
600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 05 Aug 2025 08:56
Last Modified: 17 Mar 2026 16:13
URI: https://eref.uni-bayreuth.de/id/eprint/94424