A New Algorithm of Online Monitoring and Fault Prediction for the Battery Set State

Based on the traditional floating voltage examination method of the VRLA battery, this paper proposed a new online examination method of the VRLA battery interface resistance, and established GM(1,1) forecast model of the battery interface resistance to examine the batteries' condition and predict the fault. Because many uncertain factors impact the internal resistance, this paper give a real time method and establish a dynamic innovation forecast model of GM(1,1). The forecast precision is improved greatly through experiment, and the feature of internal resistance of battery can be forecast exactly.