Artificial Intelligence for Batteries

Batteries have been used to drive the industrialization of the world. The demand for batteries in Europe in the next couple of years will grow tremendously. The use of electrically powered systems and especially battery-powered systems has grown substantially in recent decades, resulting in demands for increased battery performance. Global trends towards a fossil-fuel-free society is also increasing investment in battery technology. The next generation of engineering and Battery business solutions is beneficial for industries and RDI sponsors.

WE at RISE help to analyze novel batteries AI frameworks based on BMS system for reliable estimation of current and future health conditions of battery in an industrial environment for durability, circularity aspect using enabling Technologies which will strengthen battery business for the industry. We use the AI approach to model, analyze, and design cost-effectively.

We can provide the answers and information you need within the following:

• A broad range of methods and applications of Artificial Intelligence, Machine Learning, Digital Twins for Battery, Smart Battery Management Systems (BMS), and other areas related to the industrial use of Battery.
• Condition assessment of battery, diagnostics, and measurement of the state of charge (SoC) and state-of-health (SoH) or lifetime
• AI-based Modelling the aging and wear of the battery ( model, analyze, and design cost-effective )
• Identifying batteries with a high risk of failure and evaluating the reliability of the existing sensor measurements
• The next generation of engineering and Battery business solutions

Targets area related to Artificial Intelligence and Batteries

• Durability
• Circularity
• Safety
• Enabling Technology