Two Manufacturability Projects
BATTwin–a flexible and scalable
digital-twin platform for enhanced production efficiency and yield in battery
cell production lines, is a 42-month project that started in December 2023 and
has the participation of 18 organizations, led by the Politecnico di Milano.
BatCAT is the partner project of BATTwin, funded from the same call topic of
the Horizon Europe research and innovation programme: HORIZON-CL5-2023-D2-01-03. Advanced digital twins for battery cell production lines (Batt4EU Partnership).
Accordingly, BatCAT and BATTwin are tasked with realising the Battery2030+
manufacturability programme. BatCAT (Battery cell assembly twin), led by the
Norwegian University of Life Sciences, also runs for 42 months and consists of
18 project partners; it started in January 2024.
The objective of BATTwin is to support
the high demand for battery manufacturing equipment in Europe, by developing a
novel Multi-level Digital Twin platform towards Zero-Defect Manufacturing in
battery production, that will reduce defect rates in battery production lines.
The solution integrates four pillars, namely (i) a multi-sensor data
acquisition and management layer, supported by data semantics through a Digital
Battery Passport data model, (ii) process-level digital twins, modelling the
critical stages of electrode manufacturing, cell assembly and conditioning
through multi-physics, data-driven and hybrid approaches, (iii) system-level
digital twins, based on simulation and analytical modelling, (iv) user-centric,
goal-driven digital twin workflows, increasing the explainability of digital
twins and driving the user in system design and control.
Similarly, BatCAT develops a data space
and digital twin for vanadium-based redox-flow batteries as well as Li-ion (and
Na-ion) coin cells. Physics-based modelling in BatCAT includes molecular
dynamics, dissipative particle dynamics, and continuum methods. These are
linked to each other and to a decision support system in the form of surrogate
models and to the pilot lines in the form of actionable models. For use in
production, it is necessary to make the models XAIR: Explainable-AI-ready.
Three approaches to decision support will be combined: Multicriteria
optimisation, logical reasoning by answer set programming, and a BPMN
enterprise architecture. Model accuracy and reliability will be documented
through epistemic metadata. BatCAT collaborates with DigiPass CSA (HEur GA no.
101138510) on meeting the requirements for the digital product passport.
For more information, visit https://battwin.net/ and https://batcat.info/.
BatCAT and BATTwin are funded from the
European Union’s Horizon Europe research and innovation programme,
respectively, under grant agreement no. 101137725 and 101137954. They are both
affiliated with Battery2030+ CSA3 (HEur GA no. 101104022).
