Estimation method of machine learning based battery charge state using thermal distribution image

摘要

The present invention builds a heat distribution image for each battery state taken through a thermal imaging camera as a training data set, and generates a charge state estimation learning model and a discharge state estimation learning model using the constructed learning data set to charge the battery to be estimated. It relates to a machine learning-based battery charge state estimation method using a thermal distribution image for estimating a state or a discharge state.