Real-time Predictive Control for the Optimal Charging of a Lithium-ion Battery

  • 2015-04-13

This talk is organized by the Vienna PhD School of Informatics and part of the lecture series „Current Trends in Computer Science“.


Li-ion batteries are widely used in industrial applications due to their high energy density, slow material degradation, and low self-discharge. The existing advanced battery management systems (ABMs) in industry employ semi-empirical battery models that do not use first-principles understanding to relate battery operation to the relevant physical constraints, which results in conservative battery charging protocols. In this talk we present a Quadratic Dynamic Matrix Control (QDMC) approach to minimize the charge time of batteries to reach a desired state of charge (SOC) while taking temperature and voltage constraints into account. This algorithm is based on an input-output model constructed from a first-principles electrochemical battery model known in the literature as the pseudo two-dimensional (P2D) model. In simulations, this approach is shown to significantly reduce charging time.


Davide M. Raimondo was born in Pavia, Italy, in 1981. He received the B.Sc. and M.Sc. in Computer Engineering, and the Ph.D. in Electronic, Computer Science and Electric Engineering from the University of Pavia, Italy, in 2003, 2005, and 2009, respectively. As a Ph.D. student he held a visiting position at the Department of Automation and Systems Engineering, University of Seville, Spain. From January 2009 to December 2010 he was a postdoctoral fellow in the Automatic Control Laboratory, ETH Zürich, Switzerland. From March 2012 to June 2012 and from August 2013 to September 2013 he was visiting scholar in Prof. Braatz Group, Department of Chemical Engineering, MIT, USA. Since December 2010 he is Assistant Professor at University of Pavia, Italy. He is the author or coauthor of more than 50 papers published in refereed journals, edited books, and refereed conference proceedings. His current research interests include control of nonlinear constrained systems, robust control, networked control, fault-tolerant control, autonomous surveillance and control of glycaemia in diabetic patients. Dr. Raimondo co-organized the NMPC Workshop on Assessment and Future Direction, Pavia, Italy, in 2008. He was also co-organizer of the invited sessions Nonlinear Model Predictive Control, for IFAC NOLCOS 2010, and New Developments in Nonlinear Model Predictive Control, for IFAC NOLCOS 2007. He served as an Associate Editor of IFAC NOLCOS 2010 and as member of the Nonlinear Model Predictive Control 2012 (NMPC’12) and European Control Conference 2013 (ECC’13) International Program Committees.


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