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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.

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