Modeling and control optimization of a hybrid electric commercial vehicle

A model of heavy-duty parallel hybrid electric commercial vehicle is established in Simulink. The fundamental architecture of the feed-forward parallel hybrid electric vehicle system is modeled, together with basic features and dynamic equations of subsystem components. The preliminary rule-based control strategy derived from the static optimization algorithm is introduced. The dynamic programming-based optimization problem is put forward and solved. Simulation results under the dynamic programming optimal control is analyzed and the fuel economy over the heavy-duty vehicle cycle from the real driving statistics is compared with the conventional truck. The simulation result demonstrates the potential of the significant improvement in the fuel economy, and the improvement is greater when the dynamic programming power management algorithm is applied than static optimized algorithm.