Abstract: The storage battery in the substation is composed of several batteries in series and is used for floating charge for a long time. Some storage batteries have certain parameter differences when delivered from factory. With long-term use, this difference will slowly enlarge in the process of charging and discharging, that is, the voltage distribution of single battery is uneven, which further accelerates the aging of storage battery and makes the performance of the whole battery bank decline. In addition, in the process of substation battery bank operation, single battery failure leads to the loss of power supply capacity of the whole set of batteries, which leads to the loss of power of DC power supply system in substation.This paper presents an intelligent management method of storage battery based on big data analysis, combining the working state of storage battery, the reason of storage battery failure and the shortage of existing management methods, the method integrates “detection, judgment, prevention, protection and management” and makes full use of technologies such as big data analysis, artificial intelligence and digital communication to judge the state of storage battery, the causes of battery failure are analyzed, and the instantaneous response and intervention are made to avoid power safety accidents caused by battery defects.