In the research topic “Digitalization in Battery Research and Production”, we use the extensive amounts of data generated as part of our research work to develop innovative digital offerings. To this end, we are expanding the necessary digital infrastructure, creating interfaces, and defining standards for research data management in accordance with the FAIR principle (findable, accessible, interoperable, reusable). This enables us to efficiently process, aggregate, and link data along the entire battery value chain. Our approaches range from material development and production to operation and second-life qualification. In this context, we develop new tools and services for data analysis and visualization.
We develop customized solutions for automated documentation as well as data processing and apply advanced statistical methods plus artificial intelligence (AI) to data volumes of various sizes. In doing so, we address current issues in battery research and combine our in-depth domain knowledge with expertise in data science and software engineering.
These activities enable us to create new data-based offerings for industrial contract research and collaborative projects. For example, we can identify and analyze specific correlations between individual data points along the battery value chain in our extensive databases.
Our services are aimed at companies of all sizes, with a particular focus on small and medium-sized enterprises (SMEs). Our target groups include battery cell, module and system manufacturers, battery users including second-life, as well as the banking and insurance sectors.