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Financement de l’UE (5 106 384 €) : Battery Cell Assembly Twin Hor01/01/2024 Programme de recherche et d'innovation de l'UE « Horizon »
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Battery Cell Assembly Twin
BatCAT is the project that realizes the manufacturability programme from the BATTERY 2030+ Roadmap, creating a digital twin for battery manufacturing that integrates data-driven and physics-based methods. It develops a cross-chemistry data space for two technologies, (1) Li-ion and Na-ion coin cells and (2) redox flow batteries, addressing a triple challenge in digital manufacturing: (i) Design, (ii) operation, and (iii) trust. (i) By improved product and process design and optimization, product quality and process efficiency increase. This requires decision support that makes complex decision problems accessible to human decision makers. The digital twin technology from BatCAT provides an interpretable industrial decision support system (IIDSS) based on multicriteria optimization. Surrogate modelling connects the high-level analysis firmly to ground-truth data. (ii) Process operation and control is improved by acquiring and analysing sensory and operando data at real time, facilitating live interventions within an Industry 5.0 real-time environment. BatCAT follows a rigorous approach to actionable modelling, combining data-driven methods with deductive reasoning based on ontologies and formal methods (answer set programming and BPMN-based model checking) to guarantee a reliable behaviour. (iii) The approach from BatCAT produces trustworthy models: Machine learning always retains a clearly characterized connection to the ground truth, and any decision support or decision making from inductive reasoning is safeguarded by constraints through formal deductive reasoning. All our models and methods are explainable, and all our data are FAIR and explainable-AI-ready (XAIR). The digital twin is validated in pilot production lines for (1) coin cells and (2) redox flow batteries, proving its transferability across chemistries. The project is closely connected to the Advanced Materials 2030 Initiative, BIG-MAP and BATTERY 2030+, BEPA, DigiPass CSA, EOSC, EMMC, and the Knowledge Graph Alliance, ensuring a community and industry uptake of the results.
| Centre for Process Innovation Ltd. LBG | ? |
| BI-REX- BIG Data Innovation Research Excellence | 159 750 € |
| Danmarks Tekniske Universitet | 259 375 € |
| Fraunhofer Gesellschaft ZUR Forderung DER Angewandten Forschung e. V. | 461 875 € |
| Fundacion Universidad Loyola Andalucia | 159 750 € |
| Hochschule Kaiserslautern | 225 750 € |
| IFP Energies Nouvelles | 535 313 € |
| Indiscale GmbH | 255 938 € |
| Kemijski Institut | 265 750 € |
| Luxembourg Institute OF Science AND Technology | 230 000 € |
| Norges Miljo-og Biovitenskapelige Universitet | 864 246 € |
| Politecnico Di Torino | 303 344 € |
| Rheinland-Pfalzische Technische Universitat | 447 344 € |
| Simula Research Laboratory AS | 210 450 € |
| Universitaet Klagenfurt | 342 500 € |
| Vanevo GmbH | 385 000 € |
https://cordis.europa.eu/project/id/101137725
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel. L’état actuel est présenté à la page suivante : Centre for Process Innovation Ltd., Redcar, Royaume Uni.