Model Based Battery Management System (BMS) for Electric Transportation and Renewable Microgrids
Lithium ion batteries are a promising technology to reduce the dependence on fossil fuels for transportation and for the creation of resilient and reliable renewable microgrids. However, battery manufacturers overdesign lithium ion batteries used in electric vehicle to ensure safety and life due to the uncertainty of the internal states of the cell. Proactive battery management systems (BMS) and advanced sensing technologies offer an opportunity to significantly reduce the cost and weight of transportation batteries, and circumvent problems arising due to capacity fade and safety concerns. This talk will describe how multiscale electrochemical engineering models, mathematical model reformulation and the use of robust algorithms can alleviate some of these problems to help electrify the transportation industry by improving the range of variables that are predictable and controllable in a battery in real-timewithin an electric vehicle. The use of battery models in a BMS will be analyzed. The interplay between the fundamental depth in modeling, choice of numerical algorithms, and application driven problem formulation will be presented. The validity of implementation in a microcontroller environment for model predictive control (MPC) will be addressed and demonstrated. In addition, preliminary results on aggressive sizing and control strategies for batteries in renewable microgrids will be presented.
Venkat Subramanian is Washington Research Foundation Associate Professor of Chemical Engineering and Clean Energy.Associate Professor at the University of Washington.
He holds a B. Tech, Chemical & Electrochemical Engineering, Central Electrochemical Research Institute (CECRI), Karaikudi, India and a
Ph.D., Chemical Engineering, University of South Carolina, Columbia.
Prof. Subramanian’s research focuses on modeling, analyzing and designing cost-effective, energy-efficient and environmentally benign electrochemical systems, in particular devices such as batteries, solar cells, fuel cells and sensors. His group has developed the fastest algorithm reported in the literature for simulating the performance of lithium-ion batteries. Prof. Subramanian holds an adjunct appointment in Electrical Engineering, and will be an active collaborator with the Pacific Northwest National Laboratory (PNNL).