Control Strategy Optimization Method Based On Driving Cycle Recognition For HEV

During recently years,the development of hybrid electric vehicle industry has received widespread attention from social,because of possess with both combustion and new type of pure electric vehicles' characteristics,its seen as one of the effective way to solve the energy and environmental problems.The improvement of control strategy has been the best key point in the study of hybrid electric vehicle,a good control strategy can help with the reasonable distribution power supply of the vehicle engine and electric motor to ensure vehicle' good driving performance.In this article,we did research on a biaxial parallel hybrid bus,explores the control strategy optimization process,the main content is:Firstly,we built a research platform in simulation software ADVISO R based on the hybrid electric vehicle energy saving me chanism and currently key technical problems exists in it.After the analysis for a series of research purpose and application characteristics of the ADVISOR software itself,we built the vehicle dynamics model,motor,engine,battery and other several major system components model,finished the necessary parameters matching.Secondly,this paper puts forward the factors which affecting the operation condition of vehicle could be divided into two parts: the road condition and the driving acquisition.With the use of Google Earth and its extension application Goody GIS software,we completed the vehicle traffic parameter extraction with ensuring accuracy of the data reliability;with the use of hybrid data acquisition and remote monitoring system which built by our team,we have completed the condition of parameter acquisition,construction of typical working condition and get identification of driving cycle by fuzzy classification algorithm.Thirdly,this paper presents the optimization of charge\discharge equivalent factor under the different driving cycle condition in minimal equivalent fuel consumption control strategy.Using the algorithm to calculate four groups of optimal equivalent factors under the four typical driving cycles of Surburban,Rural,Stopngo and Urban.Proposed the correlation between battery SOC control parameters and the change of vehicle driving cycles.With the standard of minimal fuel consumption,we probed out the empirical formula of describing its function quantitatively.Established the adaptive optimal control model under the environment of MATLAB/Simulink,to deal with the power system real time optimization of control parameters.Finally,in the platform of ADVISOR,we established the vehicle model based on a bus real data,built the driving cycle of 414 bus with the data of remote acquisition system,with the addition of several standard operating cycle of ADVISOR,we did a series of simulation and comparison for the different control strategies.The final result proved the that our adaptive control strategy model is effective for improving vehicles' driving proformance in different cycles.