Toyota Prius HEV neurocontrol

The author propose a neural network controller for improved fuel efficiency of the Toyota Prius hybrid electric vehicle. The approach is based on recurrent neural networks and an effective combination of off-line and on-line training methods including the extended Kalman filter and the simultaneous perturbation stochastic approximation (SPSA). The proposed approach is quite general and applicable to other control systems.