Research On Energy Management Strategy Of Hybrid Energy Storage System For Electric Vehicle

New energy electric vehicles can solve the problem of environmental pollution caused by ordinary vehicles and save energy.Fuel cell vehicle as a kind of new energy electric vehicle,using hydrogen as the main energy,the product after chemical reaction is only water,and it has the characteristics of high efficiency and no pollution.This vehicle solves the defects of ordinary electric vehicle in the field of endurance,and is one of the hot spots in the research of new energy vehicle at present.In order to improve the fuel cell electric vehicle economy,the following research is made:In view of the limitation of starting and output characteristics on single fuel cell which leads to the economic decline of electric vehicle,this paper establishes a hybrid electric vehicle energy storage system model of fuel cell /battery mixing.Firstly,fuel cells and batteries are analyzed to determine the hybrid energy storage system structure with proton exchange membrane fuel cells as the main energy source and lithium ion batteries as the auxiliary energy source.Secondly,the simulation model of fuel cell and battery is established in ADVISOR.finally,the established battery model is analyzed.Aiming at the problem that the energy management strategy is not suitable in the hybrid system,the fuzzy control energy management strategy based on condition recognition is proposed.First of all,based on the characteristic parameter information of the working condition,the working condition type is divided,and the working condition recognizer is established by using the neural network of learning vector quantization and the simulation model is built in the MATLAB/SIMULINK.Secondly,the identified working condition information is taken as the constraint condition of the input end of the fuzzy controller,and the input,output,membership function and fuzzy rules of the fuzzy controller are confirmed.Finally,a single fuzzy control and fuzzy control based on condition recognition are presented.The simulation results of the energy management strategy show that the energy management strategy based on condition is 13.3% more economical than the single fuzzy control strategy.In view of the problem that the parameter matching of fuzzy control energy management strategy based on condition identification leads to the economic decline of electric vehicle,this paper presents the energy management strategy based on multi-island genetic algorithm optimization.First,according to the battery charge state(SOC)under different working conditions,the minimum power required by the fuel cell will have different range requirements,and determine the three control parameters that need to be optimized.secondly,the three parameters are optimized by multi-island genetic algorithm in the ISIGHT,and the optimized data are used to design the whole vehicle energy management strategy.Finally,the whole vehicle simulation is carried out in the ADVISOR,and the results show that the optimized working state of the electric vehicle was improved,the working efficiency was improved,the hydrogen consumption was reduced,and the whole vehicle economy was increased by14.7%.