DIGITAL SOLUTIONS FOR ACCELERATED BATTERY TESTING

Informations projet

DigiBatt

N° de convention de subvention: 101103997

DOI

10.3030/101103997

Date de signature de la CE 21 Novembre 2023

Date de début 1 Janvier 2024

Date de fin 31 Decembre 2026

Financé au titre de

• Climate, Energy and Mobility

Coût total

€ 4 524 762,50

Contribution de l’UE

€ 4 524 762,50

Coordonné par

SINTEF AS
Norway

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (7)

Reduced order cell models for safety assessment

Simplified simulation models for accelerated safety assessment.This is linked to task 6.2 and will be used throughout the project.

Reduced order cell models for lifetime assessment

Simplified simulation models for accelerated lifetime assessment. This is linked to taks 6.1 and will be used throughout the project.

Battery model and equipment interfaces

File-based interfaces for battery models and equipment. This deliverable is associated with task 2.2 and will be used for subsequent tasks in the work package and later work packages.

Digital twin framework

Open source framework for battery cell digital twin. This is associated with task 3.1 and will be used throughout the project.

Ageing and safety testing framework

Framework for reducing the cell number and test duration for ageing and safety test. This is linked to task 4.2 and will be used in subsequent work packages.

Virtual testing models

Prototype models with parameterization tools. This is linked to task 3.2 and will be used in subsequent work packages.

Application ontologies

Application ontologies and data models for battery testing. This deliverable is associated with task 2.1 and will be used in subsequent tasks in the WP.

Documents, reports (8)

Report on computational framework for non-invasive parameterisation

Report on algorithms for Bayesian inference combined with physics-based models for non-invasive parametrization of battery cells. This is linked to task 5.1 and will be used in subsequent work in the project.

System-level digital twin report

Report on the system-level digital twin development. This is linked to task 7.2.

Initial plan for dissemination and exploitation including communication activities

Initial plan for dissemination, exploitation and communication activities. This will be followed and reviewed at regular intervals. This deliverable is associated with task 1.4.

Innovation and exploitation plan

Plan for innovation and exploitation specific to creating impact in industry. This deliverable is associated with task 1.4.

Automated testing workflow report

Report on automated testing workflow design for various use cases. This is linked to task 3.3 and will be used throughout the project.

Battery pack upscaling and use-case report

Report on upscaling of the cell level digital twins to battery pack level for specific use-cases. This is linked to task 7.1 and will be used in subsequent work packages.

Report on automated, non-invasive parameter extraction

Report on automated workflow for non-invasive parameter extraction and demonstration on reference cell. This is linked to task 5.2 and will be used in subsequent work in the project.

Project handbook and risk management table.

Handbook with guidelines for project participants plus table of risks to project completion and mitigation measures.This will be distributed to project participants to ensure smooth running of the project and consistent standards from all partners. This deliverable is associated with task 1.2.

Data Management Plan (2)

Revised data management plan

Updated plan for how to handle data generated in the project. This will be made available to all participants to ensure consistent standards throughout the project.This deliverable is associated with task 1.3.

Data management plan

Plan for how to handle data generated in the project. This will be made available to all participants to ensure consistent standards throughout the project. This forms part of task 1.3.

Publications

Other (6)

DigiBatt Data management plan

Auteurs: SINTEF Industry, SINTEF Digital
Publié dans: 2024
DOI: 10.5281/ZENODO.13918133

Development of computational framework for non-invasive parameterization of physics-based models

Auteurs: Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR); SINTEF Industry; Forschungszentrum Jülich
Publié dans: 2025
DOI: 10.5281/ZENODO.15336745

Digital Twin Framework

Auteurs: SINTEF Industry
Publié dans: 2025
DOI: 10.5281/ZENODO.15336705

DigiBatt Project Handbook and Risk Management Table

Auteurs: SINTEF Industry, SINTEF Digital
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/ZENODO.13918328

Application Ontologies

Auteurs: SINTEF Industry; Virtual Vehicle (Austria)
Publié dans: 2024
DOI: 10.5281/ZENODO.15336642

DigiBatt Initial plan for dissemination and exploitation including communication activities

Auteurs: SINTEF Industry,SINTEF Digital
Publié dans: 2024
DOI: 10.5281/ZENODO.13918301

Peer reviewed articles (1)

Physics‐Based Inverse Modeling of Battery Degradation with Bayesian Methods

Auteurs: Micha C. J. Philipp, Yannick Kuhn, Arnulf Latz, Birger Horstmann
Publié dans: ChemSusChem, Numéro 18, 2025, ISSN 1864-5631
Éditeur: Wiley
DOI: 10.1002/CSSC.202402336