Prediction of the state of charge (SOC) of MH/Ni battery is very important for battery management system of electric vehicles.Through discussing the electrochemistry of MH/Ni system

a model based on radial basis function (RBF) neural network was employed to predict the state of charge of MH/Ni battery.The model was used to predict the state of charge at a certain state of discharging process.The proposed model had high prediction speed.The predicted SOC closely resembled the measured value.Artificial neural network technique is simple and understandable.It is a powerful tool to estimate the SOC of MH/Ni battery.