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The Federal Ministry of Education and Research (BMBF) is funding the ILAB project of the Junior Professorship for Battery Management Methods and the Chair of Electrical Energy Systems at the University of Bayreuth with around 2,200,000 euros over a period of two years.
In the ILAB project (Intelligent Battery Testing Laboratory), a new type of infrastructure will be set up in the field of battery testing. This will systematically integrate computer-aided methods in the field of experimental characterisation of batteries. These include mathematical optimisation, artificial intelligence methods, uncertainty analysis, statistical test planning and model predictive control. Among other things, development processes are accelerated and innovative solutions are found through interdisciplinary and networked work. The project at the Bavarian Centre for Battery Technology (BayBatt) at the University of Bayreuth is funded by the BMBF with 2,186,476 euros over two years from the special "Energy and Climate Fund". In addition, there is a project lump sum of around 437,000 euros to cover indirect project expenses caused by the research project.
The possibility of interdisciplinary cooperation is already excellent in Bayreuth and will be further strengthened by the ILAB. In addition, the ILAB will save valuable resources by significantly reducing the experimental effort and thus energy and material consumption.
A core objective of the project is to shorten development cycles. This is achieved by the intelligent linking of experiments and the systematic use of computer-aided tools in the planning, execution and evaluation of battery tests. In the Bayreuth battery test laboratory, tests are planned on three levels (electrode level, cell level and module level). This enables a cross-scale approach. In addition, tests regarding the essential physical properties (topological, mechanical, electrochemical and thermal) are implemented. The various tests will be networked with each other using a modern data infrastructure.
"The potential of a digital research infrastructure as well as modern computer-aided analysis, modelling, optimisation and planning tools has not been exploited so far," says Prof. Dr.-Ing. Fridolin Röder, junior professor for battery management methods at the University of Bayreuth and project manager of ILAB. "In ILAB, information is brought together in models to enable continuous knowledge gain and corresponding result assurance."
ILAB will not only affect the area of research, but will also play an important role in the two new master's degree programmes at BayBatt, where various internships can be completed. The ILAB will also become a research site for future doctoral students. "We are already looking forward to working here with committed scientists, doctoral students and undergraduates in the future," says Prof. Dr.-Ing. Michael Danzer, holder of the Chair of Electrical Energy Systems.
Linking the information from different projects from different physical domains and with different battery development stages brings the decisive added value to the ILAB. The behaviour of new materials in the battery system is recognised and evaluated, the wear of battery parts is detected at an early stage and, in addition, reliable methods for estimating the condition and service life of batteries are developed.
About the BayBatt:
The University of Bayreuth is home to the Bavarian Centre for Battery Technology with a total of twelve battery professorships. The BayBatt's research focuses on interdisciplinary research and development of batteries, from basic electrochemistry and materials science to system development and its operation. The cross-scale use of computational tools as well as the application of AI-based methods are key elements to support interdisciplinarity in both system understanding and development. The topic of "new materials" is traditionally a focus of the University of Bayreuth and is specifically strengthened by this project in the context of battery research.
Prof. Dr.-Ing. Fridolin Röder
Junior professorship Battery Management Methods
Tel.: +49 (0)921 / 55-4940
E-Mail: fridolin.roeder@uni-bayreuth.de
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