NORMALITY MODELING AND ANOMALY DETECTION FOR ELECTRIFIED VEHICLE BATTERY SYSTEM

A normality modeling and anomaly detection method for a high voltage battery system of an electrified vehicle includes obtaining a trained normality model configured to model a set of modeled parameters of the high voltage battery system based on a set of measured parameters of cells/modules of the high voltage battery system and a long short-term memory model, obtaining a trained anomaly classification model configured to determine a breakdown event of the high voltage battery system and a type of the breakdown event, detecting an anomaly condition for the high voltage battery system based on a comparison of the set of modeled parameters from the trained normality model and the set of measured parameters, and applying the trained anomaly classification model to the detected anomaly condition to determine a predicted breakdown event that will happen to the high voltage battery system and a type of the predicted breakdown event.