Generally, the present disclosure is directed to using machine learning to manage state of charge of a battery. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict future energy consumption and optimal charging rate of a battery based on battery characteristics and expected user routine.
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Jia, Liang, "Machine Learning for Accurate Battery Run Time Prediction", Technical Disclosure Commons, (December 07, 2017)