Prediction and Analysis on Charge-discharge Circulation Property of Vanadium-based Hydrogen Storage Alloy Based on Neural Network

The neural network prediction model with three layers of 16×48×1 was built with the contents of16 kinds of alloying elements as input parameters,and with the charge-discharge circulation property as output parameter.The verification test for the prediction model was carried out.Furthermore,the chemical composition,microstructure,phase composition and charge-discharge circulation property of the optimized alloy picked out by the model were tested and analyzed.The results show that the neural network prediction model has high precision,and the V₃TiNi_0.56-0.1Sc alloy,which is composed of V-based solid solution phase,TiNi and Ti₂ Ni phases,has optimum charge-discharge circulation property.Moreover,the maintenance rate of discharge capacity for the V₃TiNi_0.56-0.1Sc alloy keeps at 82% after 15 times of charge-discharge circulation,which increases by 80% in comparison to that of V₃TiNi_0.56 alloy.