
BatCAT project funded by Horizon Europe
Published:
Simula is a partner in the project Battery Cell Assembly Twin (BatCAT) which will begin in January 2024.
BatCAT aims to create a digital twin for multiphysics and multiscale simulations integrating both data-driven and physics-based models for battery manufacturing. Inductive reasoning from machine learning by cellular neural networks is combined with logics-based deductive reasoning, ensuring that all decision support and decision-making facilitated by the digital twin technology is explainable and quantitatively robust at all times, permitting the use of BatCAT for both business and security-relevant aspects of Industry 5.0 environments in battery manufacturing.
The technologies and techniques developed within the project seek to enhance the current understanding of the degradation of batteries to develop better and more long-lasting batteries for consumers. Improving energy storage and lengthening battery life is part of a broader aim for the EU and its partners to transition to renewable energy, so BatCAT will have a role in the reduction of greenhouse gas emissions in this context.
Simula's work in BatCAT focuses on physics-based simulations and model development to enhance the understanding of the degradation of modern batteries. The model results will be used in conjunction with data-driven modeling techniques to enhance the overall project goal of digital twins of battery cell assemblies. At Simula, the project is led by adjunct senior research scientist Eirik Valseth and will be further supported by Simula engineers.
This project is funded by the Horizon Europe programme under the call Cross-sectoral solutions for the climate transition (HORIZON-CL5-2023-D2-01), with EURO 210 000 to Simula and a total budget of EURO 7 million.
Simula is a partner among 18 others with NMBU as the project coordinator. Learn more about the BatCAT project on the project webpage.