The invention discloses a method for predicting the dispersion of cascade utilization power batteries. The method comprises the steps of: respectively testing the direct-current internal resistance ofeach cascade utilization power battery in different SOC (State of Charge) states, and determining impedance characteristics; calculating the dispersion of the internal resistance by utilizing a dispersion calculation formula; calculating the recession speed of multiple cascade utilization power batteries according to the cycle performances of the cascade utilization power batteries in different use conditions, and establishing the corresponding relationship of the recession speed of the cascade utilization power batteries and the use conditions; calculating the self-discharge rates of the cascade utilization power batteries, and establishing the corresponding relationship of the self-discharge rates of the cascade utilization power batteries and the use working conditions; determining thebattery capacity dispersion of the cascade utilization power batteries in different working conditions; and, predicting the battery capacity dispersion of the cascade utilization power batteries in different time periods after being retired by utilizing the composite dispersion, and furthermore, predicting the composite dispersion of the cascade utilization power batteries according to the predicted battery capacity dispersion in different time periods and the weight of the dispersion of the internal resistance.