A new cascaded real time energy management strategy is proposed. A velocity predictor is proposed based on radial basis function neural network. Forward dynamic programming is employed in nonlinear model predictive control to improve efficiency. Engine and motors are coordinated with fast sampling time. Results of simulation and experiments showed that fuel economy was improved compared with other methods.