HEV control system based on adaptive hierarchical supervisory control strategy

The multiple energy source assembly control system of the hybrid electric vehicle (HEV) is a complicated system, which is complicated due to that there are many subsystems in this system. The aim of the control is to optimize the performances of the system and the subsystems; the popular ways are not useful. Using a plan of a class of multiple models, a kind of intelligent hierarchical supervisory control strategy is put forward. A fuzzy neural network and a fuzzy decision-maker make the organizing level and coordination level of hierarchical structure. A simulation study of HEV is given to verify its feasibility.