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

The 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 by qualitatively assessing communications among the participants. Our study revealed that users had more knowledge after using our digital twin; our digital twin was evaluated as being efficient by the users and it has been proven to be suitable for training in battery manufacturing

From Battery Manufacturing to Smart Grids: Towards a Metaverse for the Energy Sciences**

International audienc

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

The 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 by qualitatively assessing communications among the participants. Our study revealed that users had more knowledge after using our digital twin; our digital twin was evaluated as being efficient by the users and it has been proven to be suitable for training in battery manufacturing

From Battery Manufacturing to Smart Grids: Towards a Metaverse for the Energy Sciences

We present two digital-based serious games aiming to engage students and the general public with battery sciences. The first one is a multiscale simulator in Mixed Reality of a battery-powered Electric Vehicle (EV) interacting with an Electrical Grid. One of the players drives the EV in a Virtual Reality (VR) environment where the EV can be recharged, and the other players control the electricity produced, distributed, consumed and stored by interacting with 3D-printed devices. The second serious game is a digital twin of a lithium ion battery manufacturing pilot line, which can be played from an Internet Browser or by using VR hardware. The key steps of the manufacturing process of cylindrical cells are represented in an interactive way. We discuss our games working principles, their implications for motivation, engagement and learning, and why they pave the way towards new ways of collaborative R&D in the battery field