Deliverables Other (2) Release of the time-adaptive DEFACTO reduced p4D tool based on DEFACTO p4D model under FOSS This deliverable consists of a reduced order model to significantly reduce the high computational cost of the DEFACTO p4D model It refers to task T61 Release of the time and parameter-adaptive ROM optimisation tool under FOSS This deliverable reports the generalization of the timeadaptive model order reduction technique developed in D62 to allow adaption also in material parameters in order to obtain additional speedup during cell optimization It refers to task T64 Documents, reports (9) Report on DEM contact model development and parameterization This deliverable will report and parametrize those models which are not yet implemented in the software to describe the different kinds of particle interactions for the needs of the given simulation tasks It refers to task T31 Economic potential of using models for Li-ion cell manufacturers This deliverable will report how the use of modelling in Liion cell manufacturing activities by cell manufacturers could bring economic and saving benefits It refers to tasks T74 and 75 Dissemination and Communication Plan This deliverable will describe a primary Communication and Dissemination plan that will contain the main strategy for the project lifetime, as well as the expected activities to be carried out throughout the project. It refers to task T8.1. Report on the contribution to standardization(II) This deliverable provides an overview of the standardisation potential of the field and if relevant the participation of the consortium to the standardisation technical committees and creation of new or future standards It refers to task T85II Report on the standardization landscape and applicable standards In this deliverable, relevant standards are listed and analysed to allow partners to adapt to the standards’ expectations, understand the standardisation landscape and know the organisations involved. It refers to task T8.5. Report on the definition of parameter required for modelling and description of the validation protocol The D2.1 will provide a summary of model parameters, their definition and validation experimental protocols. It refers to T2.1 Report on the contribution to standardization (III) This deliverable provides an overview of the standardisation potential of the field and if relevant the participation of the consortium to the standardisation technical committees and creation of new or future standards It refers to task T85III Report on the contribution to standardization(I) This deliverable provides an overview of the standardisation potential of the field and if relevant the participation of the consortium to the standardisation technical committees and creation of new or future standards It refers to task T85I Report on a LBM model for electrolyte intrusion The aim of D4.1 is to provide a description of the model, computational details, simulation strategies and simulation results, which allows the community to follow the derivation and reproduce the simulation results. It refers to task T4.1 Websites, patent fillings, videos etc. (1) Project Website operative This deliverable includes the development of an appealing website, based on the previous worked carried out to create a project visual identity that will extend to all the project’s supports (templates, website, social media…). It refers to task T8.1. Publications Peer reviewed articles (8) A Computational Fluid Dynamics–Discrete ElementMethod Model for Physics-Based Simulation of Structure Formation during Battery Electrode Drying Author(s): Silas Wolf,* Mark Lippke, Alexander Schoo, Arno Kwade, and Carsten Schilde Published in: ENERGY TECHNOLOGY, 2024, ISSN 2194-4296 Publisher: Wiley-VCH GmbH DOI: 10.1002/ente.202301004 Preheating of Lithium-Ion Battery Electrodes as Basis for Heated Calendering—A Numerical Approach Author(s): Mark Lippke , Jakob Meister , Carsten Schilde and Arno Kwade Published in: PROCESSES, Issue 22279717, 2022, ISSN 2227-9717 Publisher: MDPI DOI: 10.3390/pr10081667 A Time-Adaptive Order Reduction Technique for the Doyle-Fuller-Newman Electrochemical Model of Lithium-Ion Batteries Author(s): Eduardo Jané, Ruth Medeiros, Fernando Varas and María Higuera Published in: Journal of The Electrochemical Society, 2023, ISSN 0013-4651 Publisher: Electrochemical Society, Inc. DOI: 10.1149/1945-7111/acbc9b Artificial Intelligence Applied to Battery Research: Hype or Reality? Author(s): Teo Lombardo, Marc Duquesnoy, Hassna El-Bouysidy, Fabian Årén, Alfonso Gallo-Bueno, Peter Bjørn Jørgensen, Arghya Bhowmik, Arnaud Demortière, Elixabete Ayerbe, Francisco Alcaide, Marine Reynaud, Javier Carrasco, Alexis Grimaud, Chao Zhang, Tejs Vegge, Patrik Johansson, and Alejandro A. Franco Published in: Chemical Reviews, Issue 122 (12), 2021, Page(s) 10899-10969, ISSN 1520-6890 Publisher: American Chemical Society DOI: 10.1021/acs.chemrev.1c00108 Model Experiments for Explaining the Processes OccurringDuring Conductive Battery Electrode Drying Author(s): Christiane Zihrul,* Silas Wolf, and Arno Kwade Published in: ENERGY TECHNOLOGY, 2023, ISSN 2194-4288 Publisher: John Wiley & Sons, Ltd DOI: 10.1002/ente.202200671 Lattice Boltzmann simulation in the context of battery systems Author(s): Lautenschläger, Martin; Weinmiller, Julius; Danner, Timo; Latz, Arnulf Published in: Batteries & Supercaps, Issue 5, 2022, Page(s) e202200090, ISSN 2566-6223 Publisher: Wiley-VCH DOI: 10.1002/batt.202200090 Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities Author(s): Zanotto, F..M., Zapata Dominguez, D., Ayerbe, E., Boyano, I., Burmeister, C., Duquesnoy, M., Eisentraeger, M., Florez Montaño, J., Gallo-Bueno, A., Gold, L., Hall, F., Kaden, N., Muerkens, B., Otaegui, L., Reynier, Y., Stier, S., Thomitzek, M., Turetskyy, A., Vallin, N., Wessel, J., Xu, X., Abbasov, J. and Franco, A..A. Published in: Batteries & Supercaps, 2022, ISSN 2566-6223 Publisher: Wiley-VCH DOI: 10.1002/batt.202200224 Aging and Homogenized Mechanical Character of Quasi-StaticallyCharged Gr-Si and NMC Based Electrodes Using Damage Material Modeling Author(s): Shahbaz Ahmed * , Jochen Zausch * , Hannes Grimm-Strele and Matthias Kabel Published in: Batteries, 2023, ISSN 2313-0105 Publisher: MDPI DOI: 10.3390/batteries9120582 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
