CESI LINEACT is taking part in the European BATTwin project (Flexible and scalable Digital Twin Platform for enhanced production efficiency and yield in battery cell production lines), winner of the “Advanced Digital Twins for Battery Cell Production Lines” (Batt4EU Partnership) – HORIZON-CL5-2023-D2-01-03, as part of Horizon Europe.
The BATTwin consortium, coordinated by Politecnico di Milano, began in December 2023 and will run for 42 months, with a budget of €6.9m. It brings together 16 partners from 10 EU member states and the UK, including 10 companies, 4 SMEs, with in-depth and balanced experience in battery manufacturing and the fields of digital and industrial engineering. For a sustainable transformation of the European battery industry, BATTwin aims at designing, developing and demonstrating a novel Digital Twin Platform supporting a digitally enhanced zero-defect manufacturing approach for the European battery manufacturing industry that is:
Knowledge-based and explainable: able to smoothly integrate digital twins into goal-driven and human-centric workflows, elaborating production data to enhance the knowledge about the dynamics of critical process stages;
Scaleable: able to bring increased throughput and yield at different production volume levels;
Flexible: able to consider in a multi-level framework both the single process stage and the production line dynamics.
Robust: applicable and effective to production lines of various battery chemistries, geometries and conditions by encompassing innovative multi-physics, data-driven and hybrid material/equipment/system digital twins compounded by the implementation of Digital Battery Passport and the related data-model for inter-stage traceability.
This project is coordinated for CESI LINEACT by David Baudry, CESI Research Director, and involves a research action including a thesis co-supervised by Belgacem Bettayeb, Research Lecturer on the Lille Campus, in collaboration with ENSAM Lille Campus, on the production control of an intelligent, reconfigurable and environmentally-friendly battery manufacturing system by modeling and optimizing a digital twin.
This project will reinforce our expertise in industrial digital twins and in the fields of digital and energy transitions.
