Self-learning battery management systems for lithium–sulfur batteries
Cranfield University
United Kingdom
Summary
Fully funded PhD positions on next-gen Lithium-Sulfur batteries for zero-emission transport. Develop a physics-based, self-learning BMS using real-time data and ML to handle ageing and diverse duty cycles. Four-year UK stipend with extensive battery and AI training.