The Research And Optimization Of Hybrid Electric Vehicle Energy Management Strategy Based On Improved Genetic Algorithm

A hybrid electric vehicle is a kind of vehicle which equipped with engine and motor at the same time.It decreases fuel consumption and emission largely compared to traditional vehics,and it overcomes the shortage of blade electric vehicles' short battery life as well.Therefore,it has aroused people's great concern,and becomes the most suitable new energy vehicles as the replacement of traditional vehicles currently.The one key point of hybrid electric vehicles to decrease fuel consumption and emission consists in energy management strategy.However,the energy management strategy of a hybrid electric vehicle itself is a nonlinear dynamic optimization problem,thus it is difficult to establish accurate mathematical model.This paper regards the energy management strategy of parallel electric vehicles as research object,using knowledge regarding fuzzy logic control,genetic algorithm,simulated annealing and so on to do further research and improvement aiming at the existed problem of energy management strategy based on hybrid electric vehicles.The main work is as follows.Firstly,taking the parallel hybrid electric vehicle as research object,determine the simulation method,and introduce the modeling method of major component including engine,motor and battery in order to pave the way for the following research and and related simulation.Secondly,on the base of established vehicle model,design the fuzzy controller which using required torque and SOC as input,using engine torque after redistribution as output,and establish fuzzy controller energy management strategy model based on parallel hybrid electric vehicle.Ultimately,Aiming at overcoming the high subjectivity of fuzzy controller that is unable to reach the optimal,fuel consumption and emission are used as target function,using genetic algorithm and simulated annealing to optimize the control rules and membership function of fuzzy controller.Finally,embedded the improved fuzzy controller in vehicle simulation software ADVISOR to simulate.The results shows that the optimized fuzzy controller can effectively reduce the fuel consumption and emission and improve the economic efficiency of the vehicle.