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Accelerated multiscale & multiphysics modelling tools for battery cell manufacturing improvement

Yáñez, María and Boulineau, Adrien and Wolf, Silas and Lautenschläger, Martin P. and Zausch, Jochen and Varas, Fernando and Cazeaux, Jean-Pierre and Vlachos, Nickolas and Jiménez, José Antonio and Mutter, Daniel and Ayerbe, Elixabete (2022) Accelerated multiscale & multiphysics modelling tools for battery cell manufacturing improvement. In: 2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022. Elsevier. Transport Research Arena (TRA) Conference 2022, 2022-11-14 - 2022-11-17, Lissabon, Portugal. doi: 10.1016/j.trpro.2023.11.647. ISSN 2352-1457.

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Abstract

The recent launch of battery factories in Europe, motivates intense efforts to achieve cost-effective, scalable and sustainable battery manufacturing processes. Within DEFACTO project, multiscale multiphysics modelling tools are developed to increase lithium-ion battery (LIB) cell manufacturing process productivity and performance. A novel workflow framework that mimics the main cell manufacturing steps such as the electrode processing and electrolyte filling and later predicts cell performance and ageing is presented to turbocharge the development of next-generation LIBs. In addition, taking advantage of the characterization and manufacturing data to feed and validate the computational tools, the resulting workflow aims at providing deep understanding and therefore guidance to reduce the production process time and cost while increasing the overall efficiency of battery cells.

Item URL in elib:https://elib.dlr.de/195850/
Document Type:Conference or Workshop Item (Speech)
Title:Accelerated multiscale & multiphysics modelling tools for battery cell manufacturing improvement
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Yáñez, MaríaCIDETECUNSPECIFIEDUNSPECIFIED
Boulineau, AdrienUniversity Grenoble AlpesUNSPECIFIEDUNSPECIFIED
Wolf, SilasTechnische Universität BraunschweigUNSPECIFIEDUNSPECIFIED
Lautenschläger, Martin P.Martin.Lautenschlaeger (at) dlr.dehttps://orcid.org/0000-0003-3266-4218UNSPECIFIED
Zausch, JochenFraunhofer Institut für Techno- und WirtschaftsmathematikUNSPECIFIEDUNSPECIFIED
Varas, FernandoUniversidad Politécnica de MadridUNSPECIFIEDUNSPECIFIED
Cazeaux, Jean-PierreESI GroupUNSPECIFIEDUNSPECIFIED
Vlachos, NickolasCERTHUNSPECIFIEDUNSPECIFIED
Jiménez, José AntonioUNEUNSPECIFIEDUNSPECIFIED
Mutter, DanielFraunhofer Institut für WerkstoffmechanikUNSPECIFIEDUNSPECIFIED
Ayerbe, ElixabeteCIDETECUNSPECIFIEDUNSPECIFIED
Date:November 2022
Journal or Publication Title:2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1016/j.trpro.2023.11.647
Publisher:Elsevier
ISSN:2352-1457
Status:Published
Keywords:battery; cell manufacturing; cell ageing; workflow; multiscale models; multiphysics models
Event Title:Transport Research Arena (TRA) Conference 2022
Event Location:Lissabon, Portugal
Event Type:international Conference
Event Start Date:14 November 2022
Event End Date:17 November 2022
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:Electrochemical Energy Storage
DLR - Research area:Energy
DLR - Program:E SP - Energy Storage
DLR - Research theme (Project):E - Electrochemical Storage
Location: Ulm
Institutes and Institutions:Institute of Engineering Thermodynamics > Computational Electrochemistry
Deposited By: Lautenschläger, Martin
Deposited On:14 Jul 2023 12:59
Last Modified:10 Feb 2025 14:32

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