WNN的变电站阀控式密封铅酸电池工作寿命预测

Prediction of service life for WNN substation valve control sealed lead acid battery

通过应用Matlab软件模拟,提出了利用建立神经网络来预测铅酸电池的工作寿命,并取得了成功。结果显示:通过所建立的模型预测出来的数值和真实值的拟合误差是非常高的,两者的相对误差维持在2.3%以内,这对于变电站中的实际应用是可行的,并且预测速度快,对变电站中电池的消耗情况以及更换有一定的实用价值。

By using Matlab software simulation, the neural network was used to predict the life of the lead-acid battery and succeeded. The results show that the fitting error of the real values and predicted values through the established model is very high, and the relative error is less than 2.3%, and it is feasible for the practical application in substation, and prediction speed is high, having certain practical value for battery consumption and replacement in the substation.