An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of ...

This studentship will develop physics-informed Edge AI methods for predictive health management of batteries and power electronics in electrified vehicles under real-world driving conditions.

As global energy storage expands toward 741 GWh by 2030, operators face challenges managing retired electric vehicle batteries for grid applications.

Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach not only boosts prediction accuracy but also ...

New research shows pre-treatment in lithium-ion battery recycling drives environmental impact and recovery of valuable metals ...

You will be redirected to our submission process. This topic focuses on research into energy conversion technologies and new ways to manage energy storage systems. These systems are important for ...