Research Projects

The digital transformation in research opens up numerous opportunities to develop innovative, data-based offerings and new, digital business models. For the Fraunhofer-Gesellschaft, this transformation is both a challenge and an opportunity, as digitalization requires not only the development of a suitable infrastructure but also a change in work culture towards standardized data management. A consistent digitalization of research and development activities will be indispensable in the future: on the one hand, in order to meet the requirements of national and international funding institutions in dealing with data, and on the other hand, in order to be able to compete internationally. | Duration: 02/2024 - 01/2027

In the early production phase of battery cells, the reject rate is particularly high, as conventional end-of-line tests primarily record the overall condition and can overlook minor defects. In the “Quaze” project, we are working with Precitec to develop a non-destructive measurement method that records the spatial expansion of pouch cells during charging and discharging cycles and uses this data to reconstruct a meaningful expansion field. In this way, the “good” expansion behavior that indicates defect-free cells is to be determined. AI evaluates the measurement data, detects deviations from the “good” reference pattern, and provides indications of faulty process steps. This accelerates corrective measures, reduces scrap and costs, and improves the overall environmental balance of cell production. | Duration: 04/2023 - 09/2026