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Model-based process design under consideration of production performance for battery cell production: A coating and drying study

Silva, Gabriela Ventura; Heckmann, Thilo 1; Abraham, Tim; Scharfer, Philip 2; Schabel, Wilhelm 1; Herrmann, Christoph
1 Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
2 Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)

Abstract:

The production of lithium-ion battery cells is composed of heterogeneous processes, each defined by parameters that influence the properties of intermediate and final products. Due to these complex interdependencies, process variations also affect production performance. Against this background, this works proposes a process design concept that combines process and production-oriented models. The case study investigates different coating speeds and drying temperatures considering process quality criteria, throughput, machine utilisation, and total energy demand. The results show that process-specific changes affect unequally the entire process chain and highlight the importance of a comprehensive approach targeting quality and energy efficiency.


Verlagsausgabe §
DOI: 10.5445/IR/1000168674
Veröffentlicht am 27.02.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Lichttechnisches Institut (LTI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000168674
Erschienen in Procedia CIRP
Verlag Elsevier
Band 120
Seiten 780 – 785
Bemerkung zur Veröffentlichung Part of special issue: 56th CIRP International Conference on Manufacturing Systems 2023
Schlagwörter modeling, simulation, process design, process chain performance, energy efficiency
Nachgewiesen in Scopus
Dimensions
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