Abstract: A method of predicting a battery lifespan includes estimating a state of health (SOH) of a battery by integrating an amount of electric current while a state of charge (SOC) of the battery mounted in each of a plurality of systems changes, dividing the plurality of systems into a plurality of groups according to a usage pattern collected by each of the plurality of systems at every predetermined period, generating a usage scenario of the battery in each of the plurality of systems, using a usage environment of each of the plurality of groups and the usage pattern, and predicting, for each of the plurality of systems, an end-of-life time of the battery using the usage scenario and the SOH of the battery.

Abstract: A method for detecting an abnormal fault of a battery, includes measuring cell data from battery cells included in a battery pack for a predetermined period of time; generating two-dimensional input data by mapping the cell data on a two-dimensional plane having a first axis corresponding to the period of time and a second axis corresponding to an index of each of the battery cells; inputting the two-dimensional input data into an abnormal fault detection model pre-trained to detect the abnormal fault in the battery; and determining whether an abnormal cell, having entered an abnormal state, among the battery cells, is present, based on an output of the abnormal fault detection model.