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I have taught courses at Stanford University, Universidad Nacional Autónoma de México, and UCCS; have published in Wiley, Elsevier, IEEE, and the Electrochemical Society (and in conferences). I am a senior member of the IEEE and life member of the Electrochemical Society.
My research is now largely done in collaboration with Prof. Trimboli at UCCS. We are focused on research 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 efforts 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. Research is both theoretical and empirical: the UCCS high-capacity battery research and test laboratory houses equipment to test cells, modules, and battery packs, and is home to our own custom battery-management system and our own battery pack simulator projects, which enable cutting-edge research in advanced but practical algorithm prototyping. Courses and programs in control systems and specializing in battery controls support this research effort by educating qualified researchers.
My research is now largely done in collaboration with Prof. Trimboli at UCCS. We are focused on research 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 efforts 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. Research is both theoretical and empirical: the UCCS high-capacity battery research and test laboratory houses equipment to test cells, modules, and battery packs, and is home to our own custom battery-management system and our own battery pack simulator projects, which enable cutting-edge research in advanced but practical algorithm prototyping. Courses and programs in control systems and specializing in battery controls support this research effort by educating qualified researchers.
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2023 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPCpp.1-7, (2023)
Journal of Power Sources (2023): 232555-232555
IFAC-PapersOnLineno. 2 (2023): 7114-7119
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IEEE Control. Syst. Lett. (2023): 1165-1170
JOURNAL OF THE ELECTROCHEMICAL SOCIETYno. 12 (2022)
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