Prognostics And Health Monitoring Of Li Batteries: Application To Electric Vehicles
Santa Clara, CA, USA
Great America Ballroom K Track 8
16:45 - 17:10
As more and more electric vehicles emerge in our daily operation progressively, a very critical challenge lies in accurate prediction of remaining driving/flying time to distance. In case of electric aircrafts, computing remaining flying time is also safety-critical, since an aircraft that runs out of power (battery charge) while in the air will eventually lose control leading to catastrophe. In order to tackle and solve the prediction problem, it is essential to have awareness of the current state and health of the system, especially since it is necessary to perform condition-based predictions. To be able to predict the future state of the system, it is also required to possess knowledge of the current and future operations of the vehicle.
Our research approach is to develop a system level health monitoring safety indicator either to the pilot/autopilot for the electric vehicles which runs estimation and prediction algorithms to determine state-of-charge and estimate remaining useful life of the vehicle. Given models of the current and future system behavior, the general approach of model-based prognostics can be employed as a solution to the prediction problem and further for decision making.
Dr. Chetan S. Kulkarni is a staff researcher with SGT. Inc, at the Prognostics Center of Excellence and the Diagnostics and Prognostics Group in the Intelligent Systems Division at NASA Ames Research Center. His current research interests are in Systems Prognostics and Health Management related to modeling and simulation of hydraulic and electromechanical actuators, aircraft electrical power systems and in the area of developing component level physics-based models for prognostics applications for electronic systems, lithium based battery technology, cryogenic fueling systems.
Dr. Kulkarni graduated from Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN MS('09), PhD('12) and BS from the University of Pune ('02). Prior joining Vanderbilt University, he was a Research Fellow at the Department of Electrical Engineering, IIT-Bombay, where his research work focused on developing low cost substation automation system monitoring, control devices and partial discharge on transformers. Earlier he was technical team member of the Power Automation group at Honeywell Automation India Ltd (HAIL) for 4 years.
He is a senior member of IEEE, senior member of AIAA and PHM Society.
Stinger Ghaffarian Technologies, Inc. (SGT), an aerospace services company dedicated to customer satisfaction and providing high quality support in the areas of Systems Engineering, Scientific Analysis and Modeling, Project Management Services and Information Technology. SGT is ISO 9001:2000 and CMMI level II certified company.
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