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SMARTISTIC

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Smart Battery Manufacturing Research and Development Assistant based on Augmente...

Smart Battery Manufacturing Research and Development Assistant based on Augmented Reality Technology and powered with the ARTISTIC project Computational Models The SMARTISTIC project aims at developing and demonstrating a first prototype of a smart and interactive Augmented Reality (AR) software designed to assist in the decision-making of battery scientists, engineers and operators whil... ver más

30/09/2023

UPJV

Presupuesto desconocido

Líder del proyecto

UNIVERSITE DE PICARDIE JULES VERNE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-09-30

ERC-2022-POC1: ERC PROOF OF CONCEPT GRANTS1 Objective:Objectives:

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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Duración del proyecto: 17 meses Fecha Inicio: 2022-04-01
Fecha Fin: 2023-09-30

Líder del proyecto

UNIVERSITE DE PICARDIE JULES VERNE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The SMARTISTIC project aims at developing and demonstrating a first prototype of a smart and interactive Augmented Reality (AR) software designed to assist in the decision-making of battery scientists, engineers and operators while they are working in electrode formulation and manufacturing in laboratories or in production lines. The software will be usable from tablets and AR glasses by touch gesture and hand gesture respectively. The software will blend holograms with the real world manufacturing equipment. Such holograms will be powered with the unique physical and machine learning (ML) models developed and validated experimentally in my ERC CoG ARTISTIC project and which can predict the impact of manufacturing parameters on the final electrode properties. By interacting with the holograms and without the need of programming skills, a user can in real-time create databases from her/his ongoing experiments, launch computations for analysis of experimental results, or request ML predictions about the impact of her/his intended formulation and manufacturing process on the electrode properties. She/he can also use the software to analyze possible deviations between the experimental results and the predictions to identify more easily factors that could explain unexpected experimental results. The prototype will be developed by accounting for the users' needs and from the observation of work situations. Once developed, we will perform tests and demonstrations to assess the software usability and ergonomics for its improvement while used in real situations. They will be carried out in the battery manufacturing platform of our laboratory and in companies and in institutes which already manifested interest in our proof of concept. The assessments will permit improving the software to ensure its wide acceptance. We will also analyze the IP, technology transfer and market opportunities to valorize the intended software, also thanks to networking activities.

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