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Open Access Publications from the University of California

Machine-Learning-Based Efficient Parameterspace Exploration for Energy Storage Systems

Abstract

Machine learning Gaussian Process analysis is applied to search an experimental 4D parameter space that includes temperature, C rate, maximum SOC, and cycle number. Predictions are made for any point in parameter space, together with the uncertainty in each prediction

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