International Battery Production Conference
Join us at the Conference in Braunschweig!
27. – 29. September 2024, Braunschweig
Meet us at IBPC 2024
Join us at the International Battery Production Conference in Braunschweig and listen to our conference speech on the 27th of November 2024. In our talk, we explore how intelligent data integration and AI can optimize production and quality control.
Conference Talk
Optimizing Battery Development and Quality Control through Data Integration and AI
- Requirements for moving from data silos to a unified system
- Establishing a comprehensive database for battery development and quality control
- Utilizing AI to uncover hidden correlations and support data-driven decision-making
- Integrating data with Smart Factory software (MES) and ERP systems
- Creating a cohesive, AI-supported IT ecosystem from development to manufacturing
When: 27th of November 2024, 3.15 p.m.
Where: International Battery Production Conference, Braunschweig
Abstract
By using practical examples, we demonstrate the positive implications of a unified, comprehensive database for serving both battery development and quality control. This all-encompassing database facilitates early detection of trends like a raw material quality decline or thermal instability. Additionally, a comprehensive database is the basis for utilizing artificial intelligence (AI). AI can provide correlations and trends that would otherwise remain unknown. It can also support data-driven decision-making by providing in-depth analyses and visualizations. Finally, these data can be integrated with Smart Factory software (MES) and ERP system data to form a cohesive and AI-supported IT ecosystem from development to manufacturing.
The quality-assurance process for batteries begins in R&D and follows every step in production, from processing the raw materials to assembling the battery modules. Along each step, a precise evaluation of parameters is required that may impact battery performance, production efficiency, and waste. A range of devices and techniques exist for acquiring physical, chemical and structural data, including measurements of particle size distribution and shape in the battery slurry, elemental composition, zeta potential and thermal behavior. However, each of the analytical devices produce data along each development and manufacturing stage that is often fragmented and disconnected with other IT systems.
Our speaker
Charles has been working in the industry for more than 12 years. In addition to developing new digital business models, he is also an entrepreneur and multiple business angel for start-ups. He is currently responsible for Sales & Marketing at LabV, the NETZSCH Group’s latest software start-up.