Senior researchers, early career researchers and PhD students, in academia, research institutes, and industry, in the UK and internationally
16-17th March 2020 at Pembroke College, University of Oxford, England, OX1 1DW. Program and Abstracts from 2019
John Newman is a retired Professor of Chemical Engineering at the University of California, Berkeley, and Faculty Senior Scientist at Lawrence Berkeley National Laboratory. He has been a Principal Investigator at LBNL with the DOE Batteries for Advanced Transportation Technologies Program. He is the author or coauthor of more than 400 technical publications, numerous plenary and invited lectures, and the book Electrochemical Systems. Professor Newman has received many awards, was an Onsager Professor at the Norwegian University of Science and Technology in Trondheim in 2002; and was elected to the National Academy of Engineering in 1999. His research focuses on the analysis and design of electrochemical systems, with special emphasis on batteries and fuel cells. In more recent years he has shown an interest in renewable energy and in turbulence. Additional details about Professor Newman and his research group can be found at http://www.cchem.berkeley.edu/jsngrp/
Martin Z. Bazant is the E. G. Roos (1944) Professor of Chemical Engineering and Mathematics and Executive Officer of the Department of Chemical Engineering at the Massachusetts Institute of Technology. After a PhD in Physics at Harvard (1997), he joined the MIT faculty in Mathematics (1998) and then in Chemical Engineering (2008). His research focuses on electrokinetics, electrochemical systems, and applied mathematics. He is a Fellow of the American Physical Society, the International Society of Electrochemistry and the Royal Society of Chemistry. His awards include the 2015 Kuznetsov Prize in Theoretical Electrochemistry (ISE) and 2018 Andreas Acrivos Award for Professional Progress in Chemical Engineering (AIChE). He also serves as the Chief Scientific Advisor for Saint Gobain Ceramics and Plastics, North America.
Professor Plett received his Ph.D. in Electrical Engineering from Stanford University in 1998. Since then, he has been on the faculty of the Department of Electrical and Computer Engineering at the University of Colorado Colorado Springs. His research focuses on control-systems theory as applied to the management of high-capacity battery systems, such as found in hybrid and electric vehicles. Current research efforts include: physics-based reduced-order modeling of ideal lithium-ion dynamics; system identification of physics-based model parameters using only current-voltage input-output data; physics-based reduced-order modeling of degradation mechanisms in electrochemical cells; estimation of cell internal state and degradation state; state-of-charge, state-of-health and state-of-life estimation; power and energy prediction; and battery pack fast charging.
Professor Anna Stefanopoulou is the William Clay Ford Professor and the Director of the Energy Institute at the University of Michigan. She was previously an Assistant Professor at the University of California, Santa Barbara and a Technical Specialist at Ford Motor Company. She is an ASME (08), an IEEE (09) and a SAE (18) fellow, an elected member of the Executive Committee of the ASME Dynamics Systems and Control Division and the Board of Governors of the IEEE Control Systems Society. She has received multiple awards and two involving battery state estimation using mechanical (swelling) behavior.
Robert McMeeking has a BSc in Mechanical Engineering (1972) from the University of Glasgow, Scotland and Ph.D. in solid mechanics (1976) from Brown University. He is currently Tony Evans Distinguished Professor of Structural Materials and Distinguished Professor of Mechanical Engineering at UCSB, Sixth Century Professor of Engineering Materials at the University of Aberdeen in Scotland, and Leibniz Professor at the Leibniz Institute for New Materials in Saarbrücken, Germany. He has published approximately 300 papers on mechanics of materials, is a member of the U.S. National Academy of Engineering, Fellow of the American Society of Mechanical Engineers, Fellow of the U.K. Royal Academy of Engineering and Fellow of the Royal Society of Edinburgh, and receipient of multiple prizes.
Anton Van der Ven is Professor of Materials at the University of California Santa Barbara. His research seeks to unravel the links between the electronic structure of solids and their macroscopic properties using first-principles statistical mechanics. He studies a wide variety of materials classes for electrochemical energy storage and high temperature aerospace applications. He has spent almost two decades investigating the unique electronic, thermodynamic and kinetic properties of transition metal oxides and sulfides used as electrodes in Li-ion batteries. His group develops statistical mechanics methods and accompanying software tools to predict the properties of complex crystals from first principles. Van der Ven studied metallurgy at the Katholieke Universiteit Leuven, Belgium, and obtained a PhD in Materials Science at the Massachusetts Institute of Technology.
Göran Lindbergh has an MSc (1985) and PhD (1991) in Chemical Engineering from KTH Royal Institute of Technology, Stockholm, Sweden. He is Professor in Electrochemical Process and System Engineering at KTH since 2003. He is also a member of The Royal Swedish Academy of Engineering Sciences (IVA) and coordinating the energy storage activities in the Swedish Electromobility Centre. He has more than 190 published journal papers. He is leading the Applied Electrochemistry group at the Department of Chemical Engineering and a common theme in on-going research projects is the mathematical modelling and electrochemical characterization of batteries and fuel cells.
Manuel Landstorfer received his Ph.D. in Mathematics from Ulm University (Prof. S. Funken, Prof. T. Jacob) in 2013. Since then he is research associate at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin. His research focuses on modelling electrochemical systems with continuum non-equilibrium thermodynamics. Together with W. Dreyer and C. Guhlke he studied extensively electrochemical interfaces, especially the double layer and electro-capillary effects. More recently he focuses on homogenization techniques for porous electrochemical cells. Applications range from fundamental electrochemistry to batteries and electrolysers, and recently he became head of a joint BMBF-project dealing with ageing effects in lithium ion batteries.
Associate Professor Trimboli received his Ph.D. in Control Engineering from University of Oxford in 1989. He joined the faculty of the University of Colorado Colorado Springs in 2011, where his research focuses on development of control strategies for the management of high-capacity battery systems such as found in electric vehicles. He is currently UCCS principal investigator (PI) of a multi-year program with the Office of Naval Research (ONR) headed by Utah State University where he leads a team investigating the application of model-predictive control to improve the performance and extend the lifetime of lithium ion battery cells. Other research efforts include: physics-based reduced-order modeling of ideal lithium-ion dynamics, physics-based modeling of lithium-ion degradation dynamics, empirical and physics-based modeling of lithium-ion thermal dynamics, as well as predictive methods for power estimation.
Dr Monica Marinescu received her PhD in Physical Chemistry from Imperial College London in 2012. Since then, she has been working on continuum and reduced order models of lithium-ion batteries, lithium-sulfur batteries, supercapacitors, and Li-ion capacitors. Her research focuses on determining the physical and chemical mechanisms that limit the performance of energy storage devices in real applications, and developing the models that can help design better cells and help use those cells to their fullest potential. She is particularly interested on how knowledge of the load cycle can inform cell design and control.
Charles has been a CNRS researcher at Laboratoire de Réactivité et Chimie des Solides (France) since 2007. He completed his PhD in materials chemistry at Université de Picardie Jules Verne (Amiens, France), in 2005 and was then a Postdoctoral fellow for two years in Prof. John Newman’s group at Berkeley. Charles has authored nearly 56 peer-reviewed papers and 3 patents, and been awarded distinctions including the Carl Wagner Medal of Excellence in Electrochemical Engineering (2011) and the Oronzio and Niccolò De Nora Foundation Prize (2009). Current effort is the development of physics-based mathematical models for lithium-ion batteries, with a focus on electrolyte transport and battery degradation, in close collaboration with French automotive industry.
Denis Kramer is Associate Professor in the Faculty of Engineering and Physical Sciences at the University of Southampton. He graduated with a Dipl.-Ing. (FH) from the University of Applied Sciences Zwickau (Germany) in 2002 and was awarded a PhD in Mechanical Engineering (summa cum laude) from the Technical University in Freiberg (Germany) in 2007. He subsequently spent 2 years at MIT studying Li-Ion batteries based on DFT with Gerbrand Ceder, and then 2 years working with Anthony Kucernak at Imperial College London. He joined Southampton in 2011 and his current research includes the electrochemistry of oxide surfaces, the thermodynamics of nanoscale systems, phase stability of multi-component systems in aqueous environments, and fundamental aspects of electro-kinetic processes.
Troy Farrell received his PhD in applied mathematics from Queensland University of Technology (QUT) in 1999 and is currently a Professor in Applied and Computational Mathematics there. His research interests are in industrial applications including batteries and electrochemical devices. He has worked with several battery and battery materials manufacturers to develop multiscale, multiphysics, simulation models for primary and secondary battery chemistries. In recent times he has become interested in battery storage systems for grid-scale, renewable energy generation. This work centres on the development of accurate and computationally efficient, physics-based, reduced order models for use in battery management systems.