Study On Fuzzy Control Strategy Of Parallel Hybrid Electric Bus

Hybrid technology is taken as one of the most promising technologies for clean vehicles through world wide. Since this century, China has also put a lot of efforts to rapid the commercialization process of hybrid electric vehicles, wishing to save energies and decrease pollutions. Under these circumstances, the study on hybrid electric vehicle control technology is becoming more and more important, since it is one of the key technologies of hybrid electric vehicles and embodiment of independent intelligent property right. Therefore, control technology for parallel hybrid electric vehicles is investigated, while working on the national 863 project Control System for Jiefang Hybrid Electric Transit Bus.The most familiar control strategy in parallel HEV is the logistic threshold value. This control strategy is concise and has high code conversion. This control strategy can get better control effect under the condition that engine's and motor's characteristic and the drive cycle are defined. But this adaptive ability of control strategy is bad because the thresholds have already been set and they are fixed values. And this control strategy can only make engine works at better region but most optimal region. For these reasons, the logistic threshold value has been got some limits at the HEV's automobile fuel economy. So we need study the other control strategy.Jilin University shoulders one the 863 Project: the development of control system of hybrid electric transit bus power train. This thesis is about the control Strategy of this project. The main contents are as follows:Firstly, study the performance and parameters of the power train of FAW CA6110HEV and then build the simulation model of for the FAW CA6110HEV in Matlab/Simulink/ADVISOR2002, to make the foundation for the future research and development.Secondly, build the fuzzy control strategy for FAW parallel hybrid electric bus and study and analyse the fuzzy control strategy.Thirdly, in ADVISOR2002, have the simulation experiment of the logistic threshold value and Fuzzy logistic control strategy under the Beijng driving cycle...