An Intelligent Decision Support System Of Energy Management For Parallel Plug-in HEV

As the global oil crisis and environmental pollution become increasingly serious,improving energy use efficiency and reducing environmental pollution have become theprimary task of the automotive industy development. Due to its superior environmentalperformance, the plug-in hybrid electric vehicles have become more and more attentioned allover the world, and it is to become one of the future trends of vehicles development.PHEV energy management system design is a complex design process withcomprehensive analysis and calculation. In the design process, it need for a comprehensiveanalysis, calculation, comparison, inference and evaluation. IDSS give full play to thecharacteristics of knowledge reasoning to solve qualitative problems, but also play a DSSmodel calculations to solve the quantitative analysis of the problem at the core characteristics,and fully achieve the combination of qualitative and quantitative analysis, make theproblem-solving ablities and scope got a large development. Therefore, the IDSS is verysuitable for developing the design of PHEV energy management system.This work is supported by the985project of Hunan University and the Open FundProject of Jiangsu provincial key laboratory (QK09003). It studies on the intelligent dicisionsupport system of energy management for parallel plug-in HEV. The main work andinnovations of the thesis are as follows:(1) Combine with the PHEV energy management features, construct the reasoningmechanism model with a integrated reasoning mechanism using rule-based and case-basedcombined, the case verifed the validity of the model.(2) Using the BP neural network for PHEV energy management strategy and make useof decision tree for PHEV power assembly conditions the design example of data miningrespectively, and export PHEV energy management strategy instance attribute weightcalculation formula. It laid a good foundation for the data mining of PHEV energymanagement strategy designe.(3) According to the relevant knowledge of PHEV energy management strategy,hierarchial designed for the PHEV energy management strategy, and study the PHEV energymanagement intelligent decision support system decision process. The instance applicationresults prove the effectiveness of the decision-making of intelligent decision support system.