Dr. Gregory L. Plett

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Dr. Plett received his B.Eng. degree in Computer Systems Engineering from Carleton University (Ottawa, Canada) in 1990, and his M.S.E.E. and Ph.D. degrees in Electrical Engineering from Stanford University (Stanford, CA) in 1992 and 1998, respectively. He joined the faculty of the University of Colorado at Colorado Springs (UCCS) in the Fall semester of 1998, and is now Professor of Electrical and Computer Engineering. He is a senior member of the IEEE and life member of the Electrochemical Society.

Dr. Plett's research focuses on topics in control systems as applied to the management and control of high-capacity battery systems such as found in hybrid and electric vehicles. Current research areas of interest include: physics-based reduced-order modeling of ideal lithium-ion dynamics; system identification of physics-based model parameters using only current-voltage input-output data; physics-based reduced-order modeling of degradation mechanisms in electrochemical cells; estimation of cell internal state and degradation state; state-of-charge, state-of-health and state-of-life estimation; power and energy prediction using model predictive control and other advanced techniques to extend life; battery pack fast charging.

• Hileman, W., Trimboli, M.S., Plett, G.L., "A Spatially-Resolved Single-Particle Model for Lithium Battery Cells at High C-Rate” 2026 Modeling, Estimation, and Control Conference, Phoenix, AZ (October 2026).
• Sun, J-J, Hileman, W., Trimboli, M.S., Plett, G.L., “Evaluating Methods to Calculate Lithium Battery Impedance from Physics-Based PDAE Models,” 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil, (December 2025).
• Plett, G.L., Trimboli, M.S., “Battery management systems, Volume III: Physics-based methods,” Artech House Publishers, 2024.
• Plett, G.L., Trimboli, M.S., “Perspectives on methods to overcome obstacles to physics-based models of LIB for EV ,” Proc IV. International Conference on Electrical, Computer and Energy Technologies (ICECET 2024), Sydney, Australia (July 2024).
• Plett, G.L., McVeigh, G., “Sensitivity of Lithium-Ion Battery SOC Estimates to Sensor Measurement Error and Latency,” Proc IV. International Conference on Electrical, Computer and Energy Technologies (ICECET 2024), Sydney, Australia (July 2024).