Abstract: Disclosed is an apparatus and method for detecting a latent defective cell in a battery pack. In the apparatus according to the present disclosure, during charging of the battery pack according to a charging profile having a plurality of charging ranges, for each of first to N-th cells in each charging range, a controller is configured to acquires first cell voltage time-series data (measured data) in a former part of each of the plurality of charging ranges. Additionally, the controller is configured to determines predicted cell voltage time-series data in a latter part of each of the plurality of charging ranges by applying a deep learning model to the first cell voltage time-series data.