Physics-based electrochemical models of lithium-ion battery cell dynamics give insight into internal cell parameters but are computationally complex Subspace-based techniques generate accurate, reduced-order discrete-time models of electrochemical cell behavior for use in control Model predictive control exploits the advantages of reduced-order electrochemical models to produce real-time control imposing hard constraints on problem variables Simulations conducted on the "Doyle-Fuller-Newman" cell demonstrate an effective fast-charge strategy that inhibits one mechanism of cell degradation (lithium plating) and shows promise for improving cell lifetime and performance.
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