Abstract
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Jia, Liang, "Machine Learning for Accurate Battery Run Time Prediction", Technical Disclosure Commons, (December 07, 2017)
https://www.tdcommons.org/dpubs_series/878
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