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  5. Correlating the 3D morphology of polymer-based battery electrodes with effective transport properties

Correlating the 3D morphology of polymer-based battery electrodes with effective transport properties

Publication date
2024-11-21
Document type
Forschungsartikel
Author
Prifling, Benedikt
Fuchs, Lukas
Yessim, Aigerim  
Osenberg, Markus
Paulisch, Melanie
Zimmer, Philip
Hager, Martin D.
Schubert, Ulrich S.
Manke, Ingo
Carraro, Thomas  
Schmidt, Volker
Organisational unit
Angewandte Mathematik  
DTEC.bw  
DOI
10.1021/acsami.4c17522
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/22942
Publisher
American Chemical Society (ACS)
Series or journal
ACS Applied Materials & Interfaces
ISSN
1944-8244
Periodical volume
16
Periodical issue
48
First page
66571
Last page
66583
Part of the university bibliography
✅
Additional Information
Language
English
Keyword
dtec.bw
Abstract
Polymer-based batteries represent a promising candidate for next-generation batteries due to their high power densities, decent cyclability, and environmentally friendly synthesis. However, their performance essentially depends on the complex multiscale morphology of their electrodes, which can significantly affect the transport of ions and electrons within the electrode structure. In this paper, we present a comprehensive investigation of the complex relationship between the three-dimensional (3D) morphology of polymer-based battery electrodes and their effective transport properties. In particular, focused ion beam scanning electron microscopy (FIB-SEM) is used to characterize the 3D morphology of three polymer-based electrodes which differ in material composition. The subsequent segmentation of FIB-SEM image data into active material, carbon-binder domain and pore space enables a comprehensive statistical analysis of the electrode structure and a quantitative morphological comparison of the electrode samples. Moreover, spatially resolved numerical simulations allow for computing effective properties of ionic and electronic transport. The obtained results are used for establishing analytical regression formulas which describe quantitative relationships between the 3D morphology of the electrodes and their effective transport properties. To the best of our knowledge, this is the first time that the 3D structure of polymer-based battery electrodes is quantitatively investigated at the nanometer scale.
Description
This publication is licensed under CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
Version
Published version
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