Imagine making batteries like a high-tech bakery, where every single gram of ingredient is tracked and every oven is tuned to use the least amount of power. Instead of guessing if a batch is good, smart sensors and digital twins watch the process in real-time to stop waste. It's about building a smarter, cleaner assembly line that produces more batteries with less electricity.
Battery production is currently plagued by high energy costs, significant material scrap, and a lack of standardized digital data, making it expensive and environmentally taxing to scale up.
A prototype calendaring unit and an energy-efficient slot-die coating and drying machine, supported by a FAIR-compliant digital data space and control interfaces.
If you are a gigafactory operator dealing with high energy bills and material waste — this project developed intelligent control processes and optimized machinery that reduce energy consumption by 20% and increase productivity by 10%.
If you are a machinery OEM dealing with outdated coating and drying systems — this project developed a slot-die coating and drying unit with speeds up to 20m/min and a 300 mm web width to improve precision and efficiency.
If you are an energy consultant dealing with high carbon footprints in manufacturing — this project developed an optimization model to integrate renewable energy sources into the battery production site to lower emissions.
The project targets a 20% reduction in energy consumption per machine and a 10% increase in productivity, while reducing scrap through intelligent control processes.
The machinery is validated by producing battery cells with up to 100 Ah capacity at different manufacturing pilot lines.
Based on available project data, specific licensing terms are not mentioned, but the project focuses on developing a collaborative FAIR data space and universal digitalization tools.
The project aims to lead the way in implementing the battery passport and ensures data quality reaches 70% of the FAIR measurement standard.
It includes digital interfaces between equipment, control systems, and engineers, specifically focusing on slurry mixing, coating, drying, and calendaring tools.
The consortium is highly balanced for commercialization, featuring a 50% industry ratio with 6 industrial partners and 3 SMEs. With 12 partners across 7 countries (including BE, DE, IT, and TR), the project combines academic research from 2 universities and 4 research centers with direct industrial application, ensuring the developed machinery meets actual factory requirements.
Contact Vrije Universiteit Brussel for technical specifications on the pilot line results.
Contact us to identify potential licensing opportunities for the energy-efficient coating and drying machinery.
