Tracking and tracing for data mining application in the lithium-ion battery production

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

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

17 Citations (Scopus)
54 Downloads (Pure)


The production of Lithium-Ion Battery (LIB) cells is characterized by the interlinking of different production processes with a manifold of intermediate products. To be able to ensure high quality and enable a traceability of different production and product characteristics (e.g. energy consumption, material), a tracking and tracing concept is required. In this paper, a practical tracking and tracing concept throughout the production of LIB cells, enabling inline data-driven applications, is introduced. As a part of this concept an intelligent tracking and tracing platform is shown, which allows the generation of a pre-clustered data sets to facilitate future data-driven applications.

Original languageEnglish
Pages (from-to)162-167
Number of pages6
JournalProcedia CIRP
Publication statusPublished - 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


  • Data allocation
  • Data mining
  • Lithium-ion battery cells
  • Manufacturing
  • Traceability
  • Traceability system
  • Tracking and tracing


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