BatCAT

BatCAT
ID	OSWfeb02fe72f5a45448afb06ddf36f1f6d
UUID	feb02fe7-2f5a-4544-8afb-06ddf36f1f6d
Label	BatCAT
Machine compatible name	BatCAT
Statements (outgoing)
Statements (incoming)

Description

BatCAT is the project that realizes the manufacturability programme from the BATTERY 2030+ Roadmap, creating a digital twin for battery manufacturing that integrates data-driven and physics-based methods.

Item
Type(s)/Category(s)	Project

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Project
Type	Public
Grantor
Funding call
Grant ID
Start	2024-01-01
End	2027-06-30
Budget	0.0e+0
OU
Project manager
Member

Abstract

BatCAT aims to develop a cross-chemistry data space for two technologies, Li-ion and Na-ion coin cells and redox flow batteries, addressing a triple challenge in digital manufacturing.

The project is closely connected to the Advanced Materials 2030 Initiative, BIG-MAP and BATTERY 2030+, BEPA, DigiPass CSA, EOSC, EMMC, and the Knowledge Graph Alliance, ensuring a community and industry uptake of the results.

Topic of the project

This is a project focused on digital twins of battery cell manufacturing

Keywords

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Project Coordinator

The project is coordinated by Martin Horsch at the Norwegian University of Life Sciences.

Consortium Members

1. Member 1
2. Member 2
3. Member X

Website and important links

Website:

Cordis:

EU-Call:

LinkedIn:

Twitter/X:

YouTube:

Other:

Goals of the project

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Results

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Budget

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Duration (and maybe Extension)

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Publications

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Patents

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Documents

Budget

Graph

QR Code

Attachments

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jsondata

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abstract	" BatCAT aims to develop a cross-chemistry data space for two technologies, Li-ion and Na-ion coin cells and redox flow batteries, addressing a triple challenge in digital manufacturing. The project is closely connected to the Advanced Materials 2030 Initiative, BIG-MAP and BATTERY 2030+, BEPA, DigiPass CSA, EOSC, EMMC, and the Knowledge Graph Alliance, ensuring a community and industry uptake of the results."
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description	text "BatCAT is the project that realizes the manufacturability programme from the BATTERY 2030+ Roadmap, creating a digital twin for battery manufacturing that integrates data-driven and physics-based methods. " lang "en"
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