BatCAT deliverable 2.2: Report on multiphysics modelling of battery production
This report presents a comprehensive overview of multiphysics modelling activities developed within the BatCAT project to simulate key stages of lithium-ion battery (LIB) manufacturing. Our work addresses the project's objectives to enable more sustainable and efficient battery production processes through predictive modelling and digital twin approaches. Contributions span several partners and manufacturing steps, including modelling of SEI formation (DTU, IFPEN), electrolyte filling (ITWM), electrode calendering (LOYOLA), and battery operation simulations (POLITO, SIMULA, NMBU, UKRI). These efforts are supported by the development of new multiphysics models and coupling strategies (RPTU) that serve as a unifying framework.
Authors
- Martin Petit (ORCID: https://orcid.org/0000-0002-4226-6689)
- Amirhossein Aghabarari
- Gianluca Boccardo (ORCID: https://orcid.org/0000-0003-1264-8237)
- Simon Stephan (ORCID: https://orcid.org/0000-0002-4578-3569)
- Eirik Valseth (ORCID: https://orcid.org/0000-0001-6940-4191)
- Francisco Montero‐Chacón (ORCID: https://orcid.org/0000-0003-0112-4868)
- Jochen Zausch (ORCID: https://orcid.org/0000-0003-3841-8384)
- Martin Horsch (ORCID: https://orcid.org/0000-0002-9464-6739)
- David González‐Rodríguez (ORCID: https://orcid.org/0000-0002-2651-4566)
- Carlos Nieto-Draghi
- Ivano Eligio Castelli
- Michael Andrew Seaton
- Elisa Buccafusco
Institutions
- University of Kaiserslautern (DE)
- Science and Technology Facilities Council (GB)
- Politecnico di Torino (IT)
- Universidad Loyola Andalucía (ES)
- IFP Énergies nouvelles (FR)
- Simula Research Laboratory (NO)
- Fraunhofer Institute for Industrial Mathematics (DE)
- Fraunhofer Institute for Industrial Engineering (DE)
- Universidad Loyola (BO)
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
- Norwegian University of Life Sciences (NO)
- The University of Texas at Austin (US)
- Danmarks Nationalbank (DK)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-29
- DOI
- https://doi.org/10.5281/zenodo.18058810
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00