BATTERY CHARGE AND DISCHARGE PROFILE ANALYSIS METHOD, AND BATTERY CHARGE AND DISCHARGE PROFILE ANALYSIS APPARATUS

Provided is a method and apparatus for battery charge/discharge profile analysis. The method includes training a machine learning model using a plurality of training charge/discharge profiles as a training dataset, wherein each training charge/discharge profile includes training section classification information, and the training section classification information is a dataset in which an identification number of any one of a plurality of charge/discharge control sections performed in a sequential order in an activation process is allocated to each time index; inputting a target charge/discharge profile acquired through the activation process of a battery cell to the machine learning model; and acquiring target section classification information for the input target charge/discharge profile from the machine learning model. The target section classification information is a dataset in which the identification number of any one of the plurality of charge/discharge control sections is allocated to each time index of the target charge/discharge profile.