航空用蓄电池容量预测的新方法

The prediction of capacity of aviation battery based on wavelet neutral network

研究了预测蓄电池容量的一种新方法。为有效预测航空用蓄电池的剩余容量,引入小波神经网络,建立了蓄电池内阻和荷电状态(SOC)的小波网络模型,通过实验数据对小波网络模型进行训练,得到了用于内阻和SOC预测的小波网络,最后将小波网络的预测结果和BP网络的预测结果进行对比,结果表明小波网络比BP的预测精度高,更适合用于航空用蓄电池容量的预测。

A new approach for predicting the capacity of aviation battery is proposed.In order to predict the residual capacity of aviation battery effectively,the WNN is used to build the models of internal resistance and SOC of the batteries,and the predicting models can be got through training,the results of comparing the predicting results of the WNN with the BP show that the wavelet neutral network is more suitable for the prediction of SOC than BP NN,because of its higher precision.