An energy storage system, ESS, state of health, SOH, prediction method comprising: a capacity virtual division step of virtually dividing a capacity of a measurement target ESS that is to predict an SOH into two or more; an each capacity range-dependent charging/discharging cycle data measurement step of measuring charging/discharging cycle data of each capacity range divided in the capacity virtual division step, wherein measurement of charging or discharging cycle data of each capacity range is performed on a different actual ESS and wherein the number of the two or more capacity ranges divided by the virtual capacity division unit is equal to or less than the actual ESS number; and a measurement target ESS SOH prediction step of predicting an SOH of a measurement target ESS based on charging/discharging cycle data of each actual ESS measured in the each capacity range-dependent charging/discharging cycle data measurement step through at least one of: a first method for predicting the SOH of the ESS by simply summing each capacity range-dependent charging/discharging cycle data measured in the each capacity range-dependent charging/discharging cycle data measurement step; a second method for predicting the ESS SOH by a combination sum of each capacity range-dependent charging/discharging cycle data measured in the each capacity range-dependent charging/discharging cycle data measurement step; and a third method for predicting the ESS SOH using a multiplicative probability of each capacity range-dependent charging/discharging cycle data measured in the each capacity range-dependent charging/discharging cycle data measurement step. a capacity virtual division step of virtually dividing a capacity of a measurement target ESS that is to predict an SOH into two or more; an each capacity range-dependent charging/discharging cycle data measurement step of measuring charging/discharging cycle data of each capacity range divided in the capacity virtual division step, wherein measurement of charging or discharging cycle data of each capacity range is performed on a different actual ESS and wherein the number of the two or more capacity ranges divided by the virtual capacity division unit is equal to or less than the actual ESS number; and a measurement target ESS SOH prediction step of predicting an SOH of a measurement target ESS based on charging/discharging cycle data of each actual ESS measured in the each capacity range-dependent charging/discharging cycle data measurement step through at least one of: a first method for predicting the SOH of the ESS by simply summing each capacity range-dependent charging/discharging cycle data measured in the each capacity range-dependent charging/discharging cycle data measurement step; a second method for predicting the ESS SOH by a combination sum of each capacity range-dependent charging/discharging cycle data measured in the each capacity range-dependent charging/discharging cycle data measurement step; and a third method for predicting the ESS SOH using a multiplicative probability of each capacity range-dependent charging/discharging cycle data measured in the each capacity range-dependent charging/discharging cycle data measurement step. a first method for predicting the SOH of the ESS by simply summing each capacity range-dependent charging/discharging cycle data measured in the each capacity range-dependent charging/discharging cycle data measurement step; a second method for predicting the ESS SOH by a combination sum of each capacity range-dependent charging/discharging cycle data measured in the each capacity range-dependent charging/discharging cycle data measurement step; and a third method for predicting the ESS SOH using a multiplicative probability of each capacity range-dependent charging/discharging cycle data measured in the each capacity range-dependent charging/discharging cycle data measurement step.