About us
The DigiCell project aims to revolutionise the battery value chain by transforming the manufacturing and testing processes of battery cells and packs. Using advanced modelling and machine learning techniques, DigiCell seeks to make these processes more efficient, reliable, and sustainable. The project applies AI-based models to simulate battery behaviour under various conditions and to correlate battery performance with material properties. This approach allows for real-time simulations and information exchange with actual production lines, significantly reducing material waste and enhancing battery life-cycle performance. Ultimately, DigiCell's innovations will contribute to a greener future by supporting the transition to renewable energy sources and the electrification of transportation.
Approach
Based on the development of artificial intelligence (AI) and machine learning (ML) workflows, open-source software, international standards and FAIR data, DigiCell aims to advance battery cell and pack production. The overarching concept of a digital twin, which enables real-time simulation and information exchange in battery manufacturing lines, serves as a quality control method enhancing the ability to predict process and product quality characteristics of battery cells and packs more effectively and accurately.
01/01/2024 start date 
36 months of duration 
6 Mil. € Budget 
14 partners from 7 countries