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State estimation and charging control of battery storage systems
Professor and Chair of Smart Energy Systems
University of Leeds, UK
November 11, 2020 , 10:30-11:30
Abstract: The global economy will be greatly shaped by the transformed energy landscapes. Energy storage systems, in particular battery storage systems play an important role in decarbonizing the whole energy chain from accepting renewable generations to electrification of transport and other sectors. The talk presents some recent studies in the modelling and charging control of battery storage systems..
Professor Kang Li holds the Chair of Smart Energy Systems at University of Leeds, UK . He proposed a novel two-stage framework for modelling a large class of nonlinear dynamic systems, which was then extended to fast and effective construction of neural and fuzzy network models. He has pioneered the state estimation and charging control of battery storage systems using both internal and external measurements with an array of thermal, electrical and fibre sensors to ensure the safe and effective operation. His research has been supported by over 30 projects funded by research councils, industry and other national and international funding bodies.
He has published over 180 international journal papers and edited 17 international conference proceedings in his area, winning over 10 national and international prizes and awards, including the most recent Springer Nature ‘China New Development Award’ in 2019 in recognition of the ‘exceptional contributions to the delivery of the UN Sustainable Development Goals’. He is an Executive Editor of Transactions of Institute of Measurement and Control, and Associate Editor of 5 internationally renowned academic journals, Co-Chair or Programme Chair of more than 20 international conferences.