Professor Marcos Eduardo Orchard Concha
Lithium-Ion Battery Management Systems: State-of-Charge Prognosis and Degradation Monitoring
This talk describes the implementation of particle-filtering-based prognostic frameworks for state-of-charge (SOC) and state-of-health (SOH) monitoring in energy storage devices (ESDs), and more specifically in Li-ion batteries. A probabilistic characterization of battery use profiles is used to incorporate the uncertainty associated with the future operation of the system, thus helping to generate a more realistic estimate of the Time-of- Failure probability density function. Analyzed data include voltage, current, and temperature measurements.
Dr. Marcos E. Orchard is Associate Professor with the Department of Electrical Engineering at Universidad de Chile, Associate Researcher at the Advanced Mining Technology Center, and Project Leader at the Lithium Innovation Center. His current research interest is the design, implementation and testing of real-time frameworks for fault diagnosis and failure prognosis, with applications to battery management systems, mining industry, and finance. His fields of expertise include statistical process monitoring, parametric/non-parametric modeling, and system identification. His research work at the Georgia Institute of Technology was the foundation of novel real-time fault diagnosis and failure prognosis approaches based on particle filtering algorithms. He received his Ph.D. and M.S. degrees from The Georgia Institute of Technology, Atlanta, GA, in 2005 and 2007, respectively. He received his B.S. Degree (1999) and a Civil Industrial Engineering degree with Electrical Major (2001) from Catholic University of Chile. Dr. Orchard is an internationally recognized expert in the field of fault diagnosis and prognosis, Bayesian filtering in dynamic non-linear systems, stochastic processes and Sequential Monte Carlo Methods (+50 publications, 14 articles in ISI journals, 1 book and 4 book chapters).
Invited by Professor Mehrdad Kazerani