Title :
HEV control system based on adaptive hierarchical supervisory control strategy
Author :
Wang, Dazhi ; Tang, Renyuan ; Yang, Jie
Author_Institution :
Shenyang Univ. of Technol., China
Abstract :
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.
Keywords :
adaptive control; decision making; discrete event systems; fuzzy neural nets; hierarchical systems; hybrid electric vehicles; intelligent control; adaptive hierarchical supervisory control; fuzzy decision-making; fuzzy neural network; hybrid electric vehicle control system; intelligent control; multiple energy source assembly control system; Adaptive control; Adaptive systems; Assembly systems; Control systems; Fuzzy control; Fuzzy neural networks; Hybrid electric vehicles; Intelligent control; Programmable control; Supervisory control;
Conference_Titel :
Control Conference, 2004. 5th Asian
Conference_Location :
Melbourne, Victoria, Australia
Print_ISBN :
0-7803-8873-9
