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BATTERY MATERIAL CHARACTERISATION AND DIGITAL TWINS FOR CELL TO PACK PERFORMANCE IN AGILE MANUFACTURING PILOT LINES AND AUTOMOTIVE FIELD

Project description

New battery technology powers Europe’s leap towards sustainability

On the path to Europe’s green industrial shift, reliability and innovation in battery technology stand at the forefront. With this in mind, the EU-funded DigiCell project will focus on the intricacies of advanced functional materials at a multi-scale level. It will introduce a digitally integrated framework. This framework enhances the manufacturing processes of high-performance Lithium-ion batteries and beyond. By employing innovative characterisation methods and machine learning, DigiCell significantly reduces production costs, materials waste, and CO2 footprint. The project’s holistic approach emphasises open-source algorithms, data standardisation, and quality assessments, ushering in a new era of efficiency and sustainability in battery production.

Objective

Reliability and innovations in current and upcoming battery technology as one core element of Europe’s green industrial transition are highly dependent on the understanding and systematic classification of the complex processes in advanced functional materials structured at the multiscale level.
DigiCell provides a digitally integrated framework that improves reliability and quality in the manufacturing processes of high-performance Lithium-ion batteries (LIB) and beyond Lithium battery technologies through unified and adaptive models capturing the structure-property relationships in these complex energy materials. It is based on a toolset of innovative and state-of-the-art characterisation methods for multiscale materials, interoperable tests, and analytical models supported by and linked through machine learning. With this, the production costs, materials waste, and the CO2 footprint in production lines will be reduced, while in parallel the battery electrochemical performance at the single cell level will be increased. The new measurement tools and multi-scale modelling algorithms lead to a higher characterisation speed (factor of 5) and an improved accuracy in cell tests by an order of magnitude, as will be demonstrated on the lab bench and in pilot lines. DigiCell develops a new holistic approach for open-source algorithms and data standardization strategies; new quality assessments for a healthy, safe, and circular economy. The project readily interfaces and interacts tightly with EMMC.

Coordinator

KEYSIGHT TECHNOLOGIES GMBH
Net EU contribution
€ 824 900,00
Address
GRUBERSTRASSE 40
4020 LINZ
Austria

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Region
Westösterreich Oberösterreich Linz-Wels
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 824 900,00

Participants (12)

Partners (1)