Journal
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume 25, Issue 2, Pages 453-468Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2016.2571663
Keywords
Batteries; battery management systems; electrochemical devices; nonlinear dynamical systems; partial differential equations; stability analysis; state estimation
Funding
- National Science Foundation within the Division of Electrical, Communications and Cyber Systems [1408107]
- U.S. Department of Energy through the Advanced Research Projects Agency-Energy [DE-AR0000278]
- Directorate For Engineering [1408107] Funding Source: National Science Foundation
- Div Of Electrical, Commun & Cyber Sys [1408107] Funding Source: National Science Foundation
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This paper studies a state estimation scheme for a reduced electrochemical battery model, using voltage and current measurements. Real-time electrochemical state information enables high-fidelity monitoring and high-performance operation in advanced battery management systems, for applications such as consumer electronics, electrified vehicles, and grid energy storage. This paper derives a single particle model (SPM) with electrolyte that achieves higher predictive accuracy than the SPM. Next, we propose an estimation scheme and prove estimation error system stability, assuming that the total amount of lithium in the cell is known. The state estimation scheme exploits the dynamical properties, such as marginal stability, local invertibility, and conservation of lithium. Simulations demonstrate the algorithm's performance and limitations.
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