The Research On Energy Management Strategy And Composite Power Control Method Of Parallel Hybrid Electric Vehicle

In recent years,the problem of energy shortage and environmental pollution has gradually become a common problem faced by all countries in the world.Traditional fuel vehicles emit a large number of toxic and harmful gases while consuming Limited oil resources,which has become one of the main causes of air pollution.New energy vehicles can use electric energy or other new energy as the driving force to drive the work of vehicles.Therefore,the development of new energy vehicles has become the general trend.Hybrid electric vehicle is one of the new energy vehicles with the most development potential and market prospect.The development of hybrid electric vehicle is of great significance to solve the problems of oil resource shortage and air pollution.Control strategy can directly determine the vehicle’s power performance,fuel economy,emission performance and other indicators,which is of great significance for hybrid electric vehicles.This paper selects the common parallel hybrid electric vehicle as the research object,and studies its control strategy.This paper expounds the research background and significance of the research topic,which shows that the research content of this topic has important value at present.This paper introduces the working principle of hybrid electric vehicles with different structures,and analyzes the research status of hybrid electric vehicles at home and abroad.Taking the parallel hybrid electric vehicle as the research object,the electrical modeling of the key components is carried out,and the working mechanism is analyzed.The simulation model and working principle of these key components in Simulink are analyzed in detail.This paper analyzes the working mode and control idea of parallel hybrid electric vehicle,introduces the idea of fuzzy logic control into the control strategy of vehicle,takes the vehicle demand torque and battery state of charge as the input variables of fuzzy controller,takes the engine output torque as the output variable,establishes the fuzzy controller,and builds the fuzzy controller simulation model in Matlab/Simulink.In order to improve the fuel economy of automobile,standard genetic algorithm(SGA)and multiple population genetic algorithm(MPGA)are designed to optimize the membership function and fuzzy rules of fuzzy controller at the same time.The fuzzy controller is embedded into the vehicle model of the advisor,and the optimization program is written in MATLAB software to call the advisor for simulation.In order to improve the working condition of single power battery,the composite power system is composed of super capacitor and battery.The logic threshold control strategy and fuzzy logic control strategy are designed,and their simulation models are built for simulation experiments.Based on the standard genetic algorithm,this paper introduces the idea of multi population co evolution,and designs multi population genetic algorithm to optimize the membership function and fuzzy rules of vehicle fuzzy controller at the same time.Compared with the original fuzzy controller,the fuzzy controller optimized by SGA can achieve better fuel economy,and MPGA can further improve the fuel economy.The two control strategies can make the capacitor absorb or discharge high power,work in high current condition,make the working current of the battery in a reasonable range,play the role of protecting the battery.