The advances in the automotive sector for plug-in hybrid electric vehicles (PHEV) and battery electric vehicles (BEV) along with penetration of renewables for power generation have increased the use of batteries, as energy storage devices to a great deal. In order to significantly expand the PHEV/ BEV market, and to increase the use of lithium-ion batteries in electric grids, there is a need to develop optimal charging strategies to utilize the batteries more efficiently and enable design for longer life. Advanced battery management systems (BMS) that can calculate and implement such strategies in real time are expected to play a critical role for this purpose. This talk will present approaches for determining model-based optimal charging profiles for batteries, and experimental validation of the same. Optimal profiles that maximize the cycle life of the cells were implemented on 16 Ah cells. An improvement of more than 100% in cycle life is observed experimentally, for our test conditions on this cell design.
Professor Venkat R. Subramanian received his B.Tech. degree in chemical and electrochemical engineering from the Central Electrochemical Research Institute (CECRI), Karaikudi, India, in 1997 and his Ph.D. degree in chemical engineering from the University of South Carolina, Columbia, SC, USA, in 2001. He is currently a Washington Research Foundation Innovation Professor of Chemical Engineering & Clean Energy and an Adjunct Professor of Electrical Engineering, at the University of Washington (UW), Seattle. He holds a joint appointment at Pacific Northwest National Laboratory as a Chief Scientist.
Dr. Subramanian is an elected ECS Fellow, is a past elected chair of IEEE division of the Electrochemical Society. He is a co-founder and CTO of a battery startup that will commercialize his BMS technology.
His research interests include: energy systems engineering, electrochemical engineering,state-of-charge (SOC) and state-of-health (SOH) estimation of lithium-ion batteries, model-based battery management systems for electric transportation, and renewable microgrids and application of nonlinear model predictive control methods. Venkat was awarded the Dean's award for excellence in graduate study in 2001 for his doctoral research.