Combining Virtual Reality with Mixed Reality for Efficient Training in Battery Manufacturing

Author:

Denisart Lucie12,Zapata‐Dominguez Diana12ORCID,David Xavier1,Leclere Aubin3,Lelong Romain3,Liu Chaoyue12,Xu Jiahui12,Loup‐Escande Emilie4ORCID,Franco Alejandro A.1256ORCID

Affiliation:

1. Laboratoire de Réactivité et Chimie des Solides (LRCS) UMR CNRS 7314 Université de Picardie Jules Verne, Hub de l'Energie 15, rue Baudelocque 80039 Amiens Cedex France

2. Réseau sur le Stockage Electrochimique de l'Energie (RS2E) FR CNRS 3459 Hub de l'Energie 15, rue Baudelocque 80039 Amiens Cedex France

3. Reviatech SAS Parc Technologique des Rives de l'Oise Rue les Rives de l'Oise 60280 Venette France

4. Centre de Recherche en Psychologie: Cognition Psychisme et Organisations (CRP-CPO) UR UPJV 7273 Université de Picardie Jules Verne 1, Chemin du Thil 80025 Amiens Cedex 1 France

5. ALISTORE-European Research Institute FR CNRS 3104 Hub de l'Energie 15, rue Baudelocque 80039 Amiens Cedex France

6. Institut Universitaire de France 103 Boulevard Saint Michel 75005 Paris France

Abstract

AbstractThe manufacturing process of batteries can be complex and time‐consuming. We introduce a new version of the digital twin of our lithium‐ion battery pilot line, Simubat 4.0 Gen‐2, based on a new combination of Virtual Reality and Mixed Reality. This digital twin is designed to deliver training on the lithium‐ion battery manufacturing process and electrode properties. This tool aims to make users active learners, helping them visualize and understand complex concepts and meets a strong need for skilled labor linked to the blooming of battery gigafactory, in particular in our region. We report here a detailed study of the educational contribution of Simubat 4.0 Gen‐2. This study was performed during two filmed training sessions: the first one with chemistry MSc. students, and the second one with AESC Gigafactory trainees. We used questionnaires to measure the usability and usefulness and at the same time, we studied the usage by analyzing errors and qualitatively assessing communications among the participants. Our study revealed that users had more knowledge after using our digital twin; the tool was evaluated as being efficient by the users and it has been proven to be suitable for training in battery manufacturing.

Funder

Institut Universitaire de France

European Research Council

Publisher

Wiley

Subject

Electrochemistry,Electrical and Electronic Engineering,Energy Engineering and Power Technology

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