A5093862099- Advancements in Battery Materials
- Advanced Battery Technologies Research
- Digital Transformation in Industry
- Recycling and Waste Management Techniques
- Extraction and Separation Processes
- Industrial Vision Systems and Defect Detection
- Electron and X-Ray Spectroscopy Techniques
- Advanced Battery Materials and Technologies
- Advanced Data Processing Techniques
- Electric Power Systems and Control
- Fault Detection and Control Systems
Université de Picardie Jules Verne
2024-2025
Laboratoire de Réactivité et Chimie des Solides
2024-2025
Réseau sur le Stockage Electrochimique de l'énergie
2024-2025
Centre National de la Recherche Scientifique
2024
Abstract Modern batteries are highly complex devices. The cells contain many components—which in turn all have variations, both terms of chemistry and physical properties. A few examples: the active materials making electrodes coated on current collectors using solvents, binders additives; multicomponent electrolyte, contains salts, electrolyte can also be a solid ceramic, polymer or glass material; separator, which made fibres, polymeric, composite, etc. Moving up scale these components...
Abstract The manufacturing process of Lithium‐ion battery electrodes directly affects the practical properties cells, such as their performance, durability, and safety. While computational physics‐based modeling has been proven a very useful method to produce insights on interdependencies well formation electrode microstructures, high costs prevent direct utilization in optimization loops. In this work, novel time‐dependent deep learning (DL) model is reported, demonstrated for calendering...
Laboratory practices are essential to prepare students and professionals drive future innovations in the field of energy storage conversion. However, universities industries working battery encounter challenges such as effective efficient training on complex concepts related production, mostly due lack access prototyping facilities or limited availability manufacturing pilot lines for purposes. This Concept introduces an innovative educational platform Virtual Reality (VR) named Battery...
Laboratory practices are essential to prepare students and professionals drive future innovations in the field of energy storage conversion. However, universities industries working battery encounter challenges such as effective training on production complexities, mostly due lack access prototyping facilities or limited availability manufacturing pilot lines for purposes. This Concept introduces an innovative educational platform Virtual Reality (VR) named Battery Manufacturing Metaverse...
Manufacturing process of Lithium-ion battery electrode has a direct impact on the resulting practical properties cell such as durability, safety and overall performance. In this scenario, together with experimental efforts to understand correlation between manufacturing parameters final performance, computational tools have shown potential produce insights interdependencies. The ARTISTIC initiative [1] pioneered development series 3D-resolved physics-based models describing each step...
The manufacturing process of Lithium-ion battery electrodes directly affects the practical properties cells, such as their performance, durability, and safety. While computational physics-based modeling has been proved a useful method to produce insights on interdependencies well formation electrode microstructures, high costs avoid direct utilization in optimization loops. In this work, we report novel time-dependent deep learning (DL) model process, demonstrated for calendering NMC111...
Deep Learning Models In article number 2400376, Alejandro A. Franco and co-workers report a novel deep learning model able to predict battery electrode microstructure evolution upon calendering. The is trained with data generated by an already experimentally validated discrete element method calendering model. This paves the way toward quasi-real-time optimization of architecture its manufacturing process.
The lithium-ion batteries (LIBs) industry has expanded quickly despite technological constraints. Additionally, raw materials supply, end-of-life (EoL) management, and the creation of LIB manufacturing policies are receiving attention. All these concerns could be addressed simultaneously by integrating recycling EoL cells from early stages manufacturing. This article presents perspectives on how to achieve this holistic integration through means digitalization. Various challenges recycling,...