Battery DEsign and manuFACTuring Optimization through multiphysic modelling

Rezultaty

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

Release of the DEFACTO fast prototyping tool based on time - adaptive DEFACTO reduced p4D model under FOSS

This deliverable consists of an accurate and fast (almost real-time) model based on surrogate models that aims at its application in the control of battery systems. It refers to task T6.2.

Efficient DEFACTO P4D cell model describing electrochemical and mechanical ageing ready for ROM

This deliverable provides an efficient yet accurate code for the numerical resolution of the P4D model with electrochemical and mechanical ageing, developed over an open-source platform. It refers to task T5.5.

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

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.

Publikacje

A Computational Fluid Dynamics–Discrete ElementMethod Model for Physics-Based Simulation of Structure Formation during Battery Electrode Drying

Autorzy: Silas Wolf,* Mark Lippke, Alexander Schoo, Arno Kwade, and Carsten Schilde
Opublikowane w: ENERGY TECHNOLOGY, 2024, ISSN 2194-4296
Wydawca: Wiley-VCH GmbH
DOI: 10.1002/ente.202301004

Preheating of Lithium-Ion Battery Electrodes as Basis for Heated Calendering—A Numerical Approach

Autorzy: Mark Lippke , Jakob Meister , Carsten Schilde and Arno Kwade
Opublikowane w: PROCESSES, Numer 22279717, 2022, ISSN 2227-9717
Wydawca: MDPI
DOI: 10.3390/pr10081667

A Time-Adaptive Order Reduction Technique for the Doyle-Fuller-Newman Electrochemical Model of Lithium-Ion Batteries

Autorzy: Eduardo Jané, Ruth Medeiros, Fernando Varas and María Higuera
Opublikowane w: Journal of The Electrochemical Society, 2023, ISSN 0013-4651
Wydawca: Electrochemical Society, Inc.
DOI: 10.1149/1945-7111/acbc9b

Artificial Intelligence Applied to Battery Research: Hype or Reality?

Autorzy: 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
Opublikowane w: Chemical Reviews, Numer 122 (12), 2021, Strona(/y) 10899-10969, ISSN 1520-6890
Wydawca: American Chemical Society
DOI: 10.1021/acs.chemrev.1c00108

Model Experiments for Explaining the Processes OccurringDuring Conductive Battery Electrode Drying

Autorzy: Christiane Zihrul,* Silas Wolf, and Arno Kwade
Opublikowane w: ENERGY TECHNOLOGY, 2023, ISSN 2194-4288
Wydawca: John Wiley & Sons, Ltd
DOI: 10.1002/ente.202200671

Lattice Boltzmann simulation in the context of battery systems

Autorzy: Lautenschläger, Martin; Weinmiller, Julius; Danner, Timo; Latz, Arnulf
Opublikowane w: Batteries & Supercaps, Numer 5, 2022, Strona(/y) e202200090, ISSN 2566-6223
Wydawca: Wiley-VCH
DOI: 10.1002/batt.202200090

Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities

Autorzy: 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.
Opublikowane w: Batteries & Supercaps, 2022, ISSN 2566-6223
Wydawca: 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

Autorzy: Shahbaz Ahmed * , Jochen Zausch * , Hannes Grimm-Strele and Matthias Kabel
Opublikowane w: Batteries, 2023, ISSN 2313-0105
Wydawca: MDPI
DOI: 10.3390/batteries9120582

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