Residual life prediction of Aviation Battery

Aviation lead-acid battery is the main emergency power supply of the aircraft, and its remaining life determines the flight safety of the aircraft. In this paper, GA-PSO was used for the optimization of parameters in LS-SVM and the selection of initial weights in BP neural network, which are used to predict the residual life of aviation battery. Through comparative experiments, the improved LS-SVM algorithm has the advantages of simple implementation, high precision and fast speed, and is more suitable for the prediction of the remaining life of aviation lead-acid battery.