为有效预测航空蓄电池的剩余容量,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的预测精度要高,更适合用于航空蓄电池容量的预测。 In order to effectively predict the residual capacity of the aviation battery, a wavelet neural network is introduced to establish the wavelet network model of battery internal resistance and SOC. The wavelet network model is trained by experimental data, and the wavelet network for internal resistance and SOC prediction is obtained. Finally, The results of wavelet network prediction and BP network prediction are compared. The results show that the wavelet network has higher prediction accuracy than BP and is more suitable for the prediction of aviation battery capacity.