TY - JOUR
T1 - Digitalization Platform for Sustainable Battery Cell Production
T2 - Coupling of Process, Production, and Product Models
AU - Ventura Silva, Gabriela
AU - Thomitzek, Matthias
AU - Lippke, Mark
AU - Heckmann, Thilo
AU - Karaki, Hassan
AU - Lischka, Clemens
AU - Möhlen, Felix
AU - Mayer, Dominik
AU - Hagemeister, Jan
AU - Daub, Rüdiger
AU - Fleischer, Jürgen
AU - Nirschl, Hermann
AU - Schröder, Daniel
AU - Scharfer, Philip
AU - Schabel, Wilhelm
AU - Kwade, Arno
AU - Herrmann, Christoph
N1 - Publisher Copyright:
© 2022 The Authors. Energy Technology published by Wiley-VCH GmbH.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - battery cell simulations
KW - energy efficiency
KW - lithium-ion batteries
KW - process modeling
KW - simulations
UR - http://www.scopus.com/inward/record.url?scp=85141155320&partnerID=8YFLogxK
U2 - 10.1002/ente.202200801
DO - 10.1002/ente.202200801
M3 - Article
AN - SCOPUS:85141155320
SN - 2194-4288
JO - Energy Technology
JF - Energy Technology
ER -