Research On Energy Intelligent Control And Simulation Algorithm Of Series Hybrid Electric Vehicle

Hybrid electric vehicle(HEV)is a kind of new cars with low fuel consumption and low emissions,which combines the advantages of traditional vehicle's long endurance and no-pollution of pure electric vehicles.It represents the future direction of development of vehicle for a period of time.Therefore,the research of HEV technology has important practical significance to the development of China's automobile.This paper takes Shijiazhuang bus as the research object,makes parameter matching according to the parameters of the vehicle,builds the vehicle model using Cruise software,set the simulation task,and studies the control strategy to reduce automobile fuel and pollutant emission targets.First of all,according to the analysis formula and simulation theory,calculate the power demand of automobile power system and match vehicle parameters based on the vehicle parameters to meet the maximum acceleration,maximum gradient,auto acceleration conditions.Secondly,establish the Simulink control strategy based on the series hybrid vehicle working mode,and the control strategy was optimized by genetic algorithm of NSGA-?to realize the optimization of the power and fuel economy of the vehicle model.Next,using Cruise software to build the model of hybrid electric vehicle,set the parameters of the auto parts,mechanical and signal connections are made to each module in accordance with the order of energy flow,complete the construction of the vehicle simulation model and the control strategy is embedded in the vehicle model.Finally,the simulation results show that the power and economy of the vehicle can meet the design requirements,and the control strategy can realize the optimization of the energy and pollutant emission of the series hybrid vehicle.The research of this paper has certain directive significance to the modeling and energy optimization of hybrid electric vehicle.