IMAPS Advanced Technology Workshop on High Reliability Microelectronics for Military Applications, Linthicum Heights, MD, May 17-19, 2011

Prognostics of Lithium-ion Batteries using Extended Kalman Filtering

Wei He, Nick Williard, Michael Osterman, and Michael Pecht
Center for Advanced Life Cycle Engineering, University of Maryland, College Park, MD 20742, USA


Lithium-ion batteries have become a chosen energy solution for many types of systems including consumer electronics, electric vehicles, and military and aerospace electronics, due to their high energy density, high galvanic potential, lightness of weight and long lifetimes compared to lead-acid, nickel-cadmium, and nickel-metal-hydride cells. As the demand for lithium-ion batteries increases so does the need to evaluate their reliability. This process requires an understanding of battery degradation and how it can be monitored and predicted under different environmental and usages conditions. With this knowledge, decisions regarding maintenance and warranty can be made.

Complete article available to CALCE consortium members

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