Data-driven battery health diagnosis in real-world applications
Zoom Webinar: https://washington.zoom.us/j/96764927632
Accurate diagnostics and prognostics of battery health improves overall system performance. This allows industry to unlock value by detecting faults and improving maintenance, extending operational range, and understanding asset depreciation. However, battery aging is complex and caused by many interacting factors. Two key questions arise: first, how to handle modelling challenges, including parameter variability and nonlinearities, in methods for online estimation of state of health. Second, how to develop validated predictions of future health, where key issues include coping with variable usage scenarios, and cell-to-cell behavioural differences. This talk will discuss recent approaches to tackle some of these exciting topics, particularly focusing on diagnostics from field data, including the combining of non-parametric and parametric models to allow flexibility in model fitting from data, whilst retaining the benefits of equivalent circuit and physical models.
David Howey is an Associate Professor in the Department of Engineering Science at the University of Oxford. He leads a group focused on modelling and control of energy storage systems, with a particular focus on Li-ion batteries for electric vehicles and grid/off-grid storage. He received the MEng degree in Electrical and Information Sciences from the University of Cambridge in 2002 and his PhD from Imperial College London in 2010. Since 2010 he has co-authored 80+ peer-reviewed journal and conference articles, and 5 patents. He was editorial board member of IEEE Transactions on Sustainable Energy (2014-2020), and is co-founder of the internationally respected Oxford Battery Modelling Symposium. He is the recipient of recent funding from EPSRC, InnovateUK, UKRI, Faraday Institution, Continental AG and Siemens, and he co-leads control and estimation tasks in the Faraday Institution Multiscale Modelling project. Howey is also academic PI for the £40m Energy Superhub Oxford that will build a transmission connected 50 MWh hybrid battery. He previously led the Faraday Institution “UK EV and Battery Production Potential” project (with McKinsey), and was academic lead in InnovateUK projects on battery re-use (EP/P510737/1) and solar home systems in Africa (EP/R035822/1), and a $1.2m Korean project on microgrids, plus Co-I in EPSRC projects TRENDS, FUTURE vehicles, STABLE-NET and RHYTHM. Professor Howey is co-founder of Brill Power Ltd., a company spun-out of his lab in 2016 focused on advanced battery management system topologies. They have raised significant early stage funding and licensed several patents from his group. Howey also won a Samsung GRO Award on modelling leading to two R&D contracts and a multi-year collaboration, with results patented by Samsung Electronics.