Optimizing Research On Energy Management Strategy Of Parallel Hybrid Electric Vehicle Based On Fuzzy Control

Nowadays,the problem of energy protection and environmental pollution has suddenly been paid more and more attention by the government.While automobiles facilitate our daily life,the problem of energy consumption has become more and more prominent,and it also seriously pollutes our environment.To solve this problem,all countries in the world are competing to develop energy-saving vehicles.Hybrid electric vehicle(HEV)is a new type of vehicle,which has the advantages of traditional vehicle and pure electric vehicle.Hybrid electric vehicles with two power sources,engine and motor,not only significantly reduce fuel consumption,but also reduce vehicle exhaust emissions.Therefore,the development of hybrid electric vehicles is very conducive to solving environmental and energy problems.Firstly,the significance and background of the research are introduced,and the energy management strategies of hybrid electric vehicles at home and abroad are analyzed and compared.This paper expounds the mechanical structure of parallel hybrid electric vehicle.According to the different working modes of hybrid electric vehicle in operation,taking parallel hybrid electric vehicle as the research object,the shortcomings of common logic threshold strategy are analyzed,and a fuzzy energy management strategy based on torque distribution is proposed.Aiming at the subjectivity of fuzzy control in the design of membership function,intelligence is proposed.Algorithms are optimized.After comparison,genetic algorithm is proposed for optimization.Secondly,based on ADVISOR,the simulation models of vehicle dynamics,engine,motor,wheel,battery and other main components are established.The vehicle model provides a platform for the simulation of energy management strategy of parallel hybrid electric vehicles.Considering engine efficiency,battery energy utilization,exhaust emission and other factors,a fuzzy controller is established.The input of the controller is the required torque of the vehicle and the SOC of the charging state of the battery,and the output is the engine torque.Aiming at the selected parallel hybrid electric vehicle,a fuzzy energy management strategy based on genetic algorithm and immune genetic algorithm is designed to improve fuel economy and reduce exhaust emissions while satisfying the power performance of the vehicle.Finally,the whole parallel hybrid electric vehicle is simulated by using MATLAB and ADVISOR.The simulation results show that the fuel consumption and exhaust emissions of hybrid electric vehicle are reduced to a certain extent.The operation condition is set as UDDS.Compared with the fuzzy energy management strategy before optimization and the fuzzy energy management strategy after genetic algorithm optimization,the simulation results show that the fuzzy energy management strategy based on immune genetic algorithm optimization has better performance,which lays a theoretical foundation for laboratory bench experiments to verify the actual effect.