Digitalization Platform for Sustainable Battery Cell Production: Coupling of Process, Production, and Product Models

Lithium‐ion batteries are used in a wide range of applications, with the electromobility sector being the main contributor to the increasing demand predicted for the next decade. Although batteries play an important role in decarbonizing the transportation sector, their production includes energy‐in...

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Published in:Energy technology (Weinheim, Germany) Germany), 2023-05, Vol.11 (5), p.n/a
Main Authors: Ventura Silva, Gabriela, Thomitzek, Matthias, Lippke, Mark, Heckmann, Thilo, Karaki, Hassan, Lischka, Clemens, Möhlen, Felix, Mayer, Dominik, Hagemeister, Jan, Daub, Rüdiger, Fleischer, Jürgen, Nirschl, Hermann, Schröder, Daniel, Scharfer, Philip, Schabel, Wilhelm, Kwade, Arno, Herrmann, Christoph
Format: Article
Language:English
Subjects:
battery cell simulations
Coupling
Decarbonization
Digital technology
Digitization
Electromobility
energy efficiency
Lithium
Lithium-ion batteries
Mathematical models
Parameters
process modeling
Product models
simulations
Sustainability
Sustainable production
Transportation industry
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Summary:Lithium‐ion batteries are used in a wide range of applications, with the electromobility sector being the main contributor to the increasing demand predicted for the next decade. Although batteries play an important role in decarbonizing the transportation sector, their production includes energy‐intensive processes that hinder a more sustainable production. Moreover, the production processes are characterized by a manifold of parameters leading to complex cause–effect relations along the process chain which influences the battery cell quality. Therefore, a sustainable future for battery production and the electromobility sector depends on the environmentally and economically efficient production of high‐performance batteries. Against this background, this work presents a digitalization platform based on the coupling of mechanistic models to digitally reproduce the battery cell production and provide a deeper understanding of the interdependencies on the process, production, and product levels. In addition to a description of the individual models contained in the platform, this work demonstrates their coupling on a use case to study the effects of different solids contents of the coating suspension. Besides providing a multilevel assessment of the parameter interdependencies, considering quality, environmental and economic aspects, the presented framework contributes to knowledge‐based decision support and improvement of production and battery cell performance. The digitalization platform represents a valuable tool for comprehensive decision‐making under consideration of cause–effect relations. The complexity of the results highlights the importance of multilevel analysis to deeply understand the mechanisms behind the parameter variations. This is critical for planning and improving battery cell production, as it helps to increase battery cell performance and support more environmentally sustainable production.
ISSN:2194-4288
2194-4296
DOI:10.1002/ente.202200801