SYSTEMS AND METHODS FOR PREDICTING REMAINING USEFUL LIFE IN BATTERIES AND ASSETS

In one aspect, a method comprises receiving first data pertaining to a battery pack of a vehicle, wherein the first data is received from sensors associated with the vehicle, and the first data pertains to a battery pack current, a cell voltage, a cell current, a cell temperature, or some combination thereof; predicting a remaining useful life of the battery pack of the vehicle by using a hybrid model comprising a physics-based model that receives the first and generates properties pertaining to the battery pack; a machine learning model that uses the properties to predict the remaining useful life of each cell of the battery pack; and transmitting the remaining useful life for presentation.