TrackBatt - Tracking and Tracing in Battery Produktion

With the digitalization of the process chain in battery production, product and process data can be assigned to individual cells or individual electrode sheets. The digitalization of production plants and the tracing of product and process data using marking technology are essential parts of the project TrackBatt.

Project description

The implementation of Industry 4.0 applications supports production in the transformation towards more efficient processes, higher product quality and cost savings. The acronym TrackBatt stands for "tracking and tracing in battery production", which means the tracing of individual process steps in the production of battery cells. Together with the Institute of Machine Tools and Production Technology, the Institute of Joining and Welding and the Institute of Particle Technology at the Technical University of Braunschweig and the Center for Solar Energy and Hydrogen Research in Ulm, two main focuses of the project are being pursued.

On the one hand, a digitization concept will be developed, which will form the basis for data tracing using uniform data acquisition. On the other hand, a tracking and tracing system (T&T system) will be implemented at the research production lines, which allows the assignment of process and product data of individual process steps to intermediate products and the final battery cell. In this context, the conception as well as the implementation and validation of the approaches to be developed is a key project objective. The knowledge and solution approach gained can thus be directly transferred to industry. For creating a digital twin, the T&T system forms the basis for comprehensive data allocation and linkage. This enables the optimization of process steps, reduces waste and increases the quality of battery cells.


The iwb would like to thank the Federal Ministry of Education and Research (BMBF) and the Project Management Organisation Jülich for funding this research project.

Duration: 01.10.2020 - 30.09.2023
Funded by: Federal Ministry of Education and Research (BMBF)
Grant Reference: 03XP0310A