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This paper establishes optimal/suboptimal active fault detection and diagnosis (FDD) methods in which semidefinite programming relaxation is used and the optimality criteria are information theoretic measures of the statistical distance between probability distributions. The design problems are formulated as optimizations in which an optimal sequence of inputs within a prediction horizon is computed...
A model-based procedure is applied to the optimization of design parameters for porous electrodes that are commonly used in advanced batteries such as lithium-ion systems. The approach simultaneously optimizes the battery design variables of electrode porosities and thickness for maximization of the energy drawn for an applied current, cutoff voltage, and total time of discharge. The results show...
This paper applies simultaneous optimization to the design of spatially-varying porosity profiles in next-generation electrodes to maximize the capacity of Li-ion batteries, based on porous electrode theory. This paper designs a porous positive electrode made of lithium cobalt oxide, which is commonly used in lithium-ion batteries for various applications. For a fixed amount of active material, optimal...
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