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Digitalization Platform for Sustainable Battery Cell Production: Coupling of Process, Production, and Product Models
Author(s) -
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
Publication year - 2023
Publication title -
energy technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.91
H-Index - 44
eISSN - 2194-4296
pISSN - 2194-4288
DOI - 10.1002/ente.202200801
Subject(s) - production (economics) , interdependence , battery (electricity) , process (computing) , product (mathematics) , work (physics) , quality (philosophy) , environmental economics , risk analysis (engineering) , engineering , manufacturing engineering , computer science , business , mechanical engineering , economics , philosophy , physics , geometry , mathematics , epistemology , quantum mechanics , political science , law , macroeconomics , operating system , power (physics)
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.