A predictive Energy Management Strategy for hybrid electric bus based on greedy algorithm

Buses run on fix routes, which makes it possible to design a predictive Energy Management Strategy (EMS) for hybrid electric bus to achieve better overall efficiency. A new predictive EMS is proposed based on the prediction of the bus´s velocity profile. Firstly, the bus´s velocity profile is predicted via historic driving data and real-time driving data, which provide the future power demand. Then according to the prediction of the velocity profile, the torque spilt is optimized by greedy algorithm. The obtained EMS requires very little computational time and is suitable for real-time implement. Simulation shows that the fuel economy of the presented approach is better than the electric assist control strategy in the Advanced Vehicle Simulator (ADVISOR).