Browsing by Autor "Simon Stephan"

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    BatCAT deliverable 2.2: Report on multiphysics modelling of battery production
    (European Organization for Nuclear Research, 2025) Jochen Zausch; Martin Petit; Carlos Nieto-Draghi; Francisco Montero‐Chacón; David González‐Rodríguez; Gianluca Boccardo; Michael Andrew Seaton; Martin Horsch; Ivano Eligio Castelli; Simon Stephan
    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.
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    Item type: Item ,
    BatCAT deliverable 2.2: Report on multiphysics modelling of battery production
    (European Organization for Nuclear Research, 2025) Jochen Zausch; Martin Petit; Carlos Nieto-Draghi; Francisco Montero‐Chacón; David González‐Rodríguez; Gianluca Boccardo; Michael Andrew Seaton; Martin Horsch; Ivano Eligio Castelli; Simon Stephan
    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.