connecting students from different geographical locations to solve battery manufacturing problems in the virtual reality space
Soorya Saravanan (Author), Utkarsh Vijay (Author), Sophie Tran (Author), Maris Minna Mathew (Author), Desislava Yordanova Apostolova (Author), Indaki Gandarias (Author), Aubin Leclere (Author), Romain Lelong (Author), Alejandro A. Franco (Author)

Abstract

Laboratory practices are essential to prepare students and professionals to drive future innovations in the field of energy storage and conversion. However, universities and industries working in the battery field encounter challenges concerning effective training on battery production complexities, mostly due to the lack of access to battery prototyping facilities or its limited availability for training purposes. This concept introduces an innovative educational platform in virtual reality (VR) named battery manufacturing metaverse (BMM). BMM promotes accessibility and collaborative learning of lithium–ion battery (LIB) manufacturing through an interactive and flexible VR representation of a LIB manufacturing pilot line. It enables collaboration among individuals from different geographical locations. Users can explore electrode and cell chemistries, and adjust manufacturing parameters with informative feedback from a cell's composition to the functioning of the manufacturing equipment. BMM does it with real-time collaboration using avatars and voice chat. This platform aims to connect students of Interdisciplinarity in Materials for Energy Storage and Conversion, an Erasmus+ MSc. Program, enabling seamless knowledge sharing and training. BMM represents a transformative step in battery research and education, offering an immersive, interactive environment without geographical barriers to pave the way towards global education and safe training in the energy sector.

Keywords

litij-ionske baterije;proizvodnja baterij;pilotni projekt linija;virtualna resničnost;digitalni dvojčki;Lithium ion batteries;batery manufacturing;pilot line;virtual reality;digital twins;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FKKT - Faculty of Chemistry and Chemical Technology
UDC: 621.352
COBISS: 230205187 Link will open in a new window
ISSN: 2566-6223
Views: 209
Downloads: 25
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: litij-ionske baterije;proizvodnja baterij;pilotni projekt linija;virtualna resničnost;digitalni dvojčki;
Type (COBISS): Article
Pages: str. 1-17
Volume: ǂVol. ǂ
Issue: ǂiss. ǂ
Chronology: 2025
DOI: 10.1002/batt.202500098
ID: 26668444
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