Data-driven cyber-physical system for quality gates in lithium-ion battery cell manufacturing

Artem Turetskyy*, Jacob Wessel, Christoph Herrmann, Sebastian Thiede

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

1 Citation (Scopus)
1 Downloads (Pure)

Abstract

In the production chain of Lithium-ion battery (LIB) cells, various processes influence intermediate product features, which then influence the LIB performance. It is important to know these influences in order to improve product quality and to control the production. This paper presents a concept for a data-driven cyber-physical system based on quality gates in LIB cell manufacturing. The concept utilizes data-driven modelling in order to predict the performance of future LIB cells by using quality gates of intermediate product features. This prediction of product performance enables a better assessment of intermediate product quality and helps deriving recommendations for latter processes.

Original languageEnglish
Pages (from-to)168-173
Number of pages6
JournalProcedia CIRP
Volume93
DOIs
Publication statusE-pub ahead of print/First online - 22 Sep 2020
Externally publishedYes
Event53rd CIRP Conference on Manufacturing Systems, CIRP CMS 2020 - Virtual Conference, Chicago, United States
Duration: 1 Jul 20203 Jul 2020
Conference number: 53

Keywords

  • Cyber-physical systems
  • Data mining
  • Lithium-ion battery cells
  • Manufacturing
  • Quality gates

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