Systems and methods for forecasting battery state of charge

This system predicts how much charge is left in a lithium-ion battery. It combines simple forecasting methods, like ARIMA or Holt Winters, with more advanced machine learning techniques, such as neural networks, using experimentally obtained battery data. The claims describe a system with a battery analyzer, a processor, and software that executes these prediction methods.