Sponsor: BMWi
Contact persons : Marcel Weber, Alexander Schoo
Summary of the overall project:
With the project “DaLion – Data Mining in Lithium Ion Battery Cell Production” ( from 12/2015 -12/2018 funded by the BMWi), a research consortium of the BatteryLab Factory (BLB) of the Technical University of Braunschweig has carried out significant work towards greater transparency with regard to influencing factors in battery cell production. Based on novel approaches to the acquisition and processing of production and (intermediate) product data, a cross-process database (data warehouse) was created. A systematic data analysis (data mining) allows the generation of knowledge from large amounts of data and thus further steps towards the identification and modelling of interactions between process parameters and product properties.
Based on the DaLion project, the follow-up project “DaLion 4.0 – Data Mining as a Basis for Cyber-Physical Systems in the Production of Lithium-Ion Battery Cells” follows. The overarching approach aims at the mapping of battery cell production in cyber-physical systems (DaLion 4.0). Cyber-physical systems are a central approach of industry 4.0. What is meant here is the combination of efficiently and continuously recorded data with suitable virtual models that are used as the basis for planning and, above all, controlling production processes. This allows battery cells to be optimized according to various criteria so that, for example, high-performance cells, “green” cells or ” affordable” cells can be realized.
Goals and tasks of iPAT
Projekt partners