1. Physics-informed machine learning for battery state estimation and degradation-aware energy management. The BET unit is seeking a motivated MSc student interested in the development of data-driven methods for battery monitoring and management. Accurate knowledge of the internal condition of a battery is a prerequisite for its safe and economically efficient operation, yet quantities such as state of charge, state of health and degradation rate cannot be measured directly and must be inferred from
📌 Master Thesis/Internship Opportunities In Energy Management, Bess Optimization And Grid Operation (Trento)
🏢 Altamira
📍 Trento
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