SimBAS – Simulation von Batteriezellen und Anwendungen in Speichersystemen
In the project “Simulation of Battery Cells and Applications in Storage Systems – SimBAS”, a combined storage simulation toolchain is being developed that covers the value chain from battery cell materials to applications. To this end, the Chair of Electrical Energy Storage Technology at TU Munich (EES), the Chair of Electrochemical Energy Conversion and Storage Systems Technology at RWTH Aachen University (ISEA), Production Engineering of E-Mobility Components at RWTH Aachen University (PEM), the Fraunhofer Institute for Silicon Technology (ISIT) and the Fraunhofer Institute for Integrated Systems and Device Technology (IISB) are working together on the project. The project is coordinated by EES.
Within the program framework being developed in SimBAS, aspects of the design of current and future lithium-ion battery cells can be mapped for the first time to a suitable system design for an application-specific application. Technical, economic and design-specific aspects are taken into account. In the field of battery cells, the question is answered how cost and performance parameters of current and future battery cells can be derived from material and production data. A database is used as a basis, in which parameters of various cell and system components can be managed. From these, virtual cells can be dimensioned or “digital twins” of existing cells can be created. The battery cells determined in this way are simulated in the system model to match the selected system topology and specifications for the system periphery, and it is analyzed which cell types or combinations of cell types (keyword: hybrid storage) can fulfill specified application cases in the most technically and economically sensible way. On the application side, in addition to current singular storage applications, singular and combined mobile and stationary use cases of the future will also be considered and their requirement profiles integrated into the system model. Furthermore, based on own specialized simulation tools for the design of energy storage solutions in combination with wind turbines, findings will be incorporated and solutions for selected, relevant use scenarios will be designed. The definition of future battery cells and use cases will be done in collaboration with industry representatives in workshops and with the help of a guiding questionnaire to arrive at practical assessments. The resulting holistic simulation toolchain will be made open source to achieve the greatest possible benefit in research and industry.
Technical University of Munich
Institute for Electrical Energy Storage Technology – EES
Prof. Dr.-Ing. Andreas Jossen
Karlstraße 45, 80333 München
Telefon: +49 (0) 89 / 289 – 26967
01.01.2021 – 31.12.2023