Research On Energy Management Strategy Of Parallel Hybrid Electric Vehicle Under Random Road Conditions

Today's industrialized production has increased energy shortages and environmental pollution.While providing convenience,automobiles are also consuming large amounts of energy and undergoing transitional pollution to the environment.Faced with these two challenges,countries around the world are rushing to research and develop energy-saving technologies.Type of transportation.The hybrid vehicle is a new type of vehicle that combines the excellent characteristics of traditional internal combustion engine cars and pure electric vehicles.Because this kind of car has dual power sources of engine and electric motor,it not only ensures the strong performance of the car,but also enables the realization of the car.With low pollution and low emissions,hybrid vehicles have become the best choice for solving environmental and energy problems today.The power distribution strategy for powertrains is a key technology for hybrid vehicles.In this paper,the parallel hybrid vehicle is taken as the research object,and the road conditions are randomized.The original logic threshold strategy is improved.The fuzzy control strategy based on genetic algorithm optimization is proposed.First of all,introduced the significance and research background of the project,expounded the principle of fuel economy for hybrid vehicles,analyzed the current research status of energy management strategies for hybrid vehicles,and cited the shortcomings of widely used rule-based logic threshold control methods.Algorithm optimization fuzzy control strategy.Then introduced the ADVISOR software,and established the main simulation model of the vehicle dynamics,engine,motor,wheels,and battery components.Considering the impact of different road conditions on engine operating efficiency,battery energy utilization,exhaust emissions,this paper establishes a random based on the traffic model,and design a fuzzy control strategy based on the optimization of genetic algorithm for powertrain energy distribution,which can not only satisfy the vehicle dynamics,but also improve the fuel economy and exhaust emissions.Finally,ADVISOR was used for simulation.The result of the powertrain,economy,and emissions of the hybrid vehicle were obtained.Compared with the fuzzy control and logic threshold control strategy before optimization,the fuzzy control strategy optimized by the genetic algorithm was verified.It has a good performance under random road conditions,which lays a good foundation for further research on the energy management strategy of the test bench for hybrid vehicles in the laboratory.