Data-driven stochastic 3D modeling of the nanoporous binder-conductive additive phase in battery cathodes

Data-driven stochastic 3D modeling of the nanoporous binder-conductive additive phase in battery cathodes

Abstract A stochastic 3D modeling approach for the nanoporous binder-conductive additive phase in hierarchically structured cathodes of lithium-ion batteries is presented. The binder-conductive additive phase of these electrodes consists of carbon black, polyvinylidene difluoride binder and graphite...

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Bibliographic Details
Main Authors: Phillip Gräfensteiner, Markus Osenberg, André Hilger, Nicole Bohn, Joachim R. Binder, Ingo Manke, Volker Schmidt, Matthias Neumann
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Journal of Mathematics in Industry
Subjects:
Stochastic 3D modeling
Stochastic geometry
Structure-property relationship
Statistical image analysis
Nanoporous cathode
Lithium-ion battery
Online Access:https://doi.org/10.1186/s13362-025-00174-z
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https://doi.org/10.1186/s13362-025-00174-z

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