Research On Hybrid Energy Storage System Of Hybrid Electric Vehicle

With the serious environmental problems and breakthrough increasingly battery technology,electric vehicles,countries from all the world much prefer to choose which are energy-saving and environment friendly.Hybrid Electric Vehicle can overcome the shortcomings of others' battery which only use electric as the power-drive or conventional gasoline-powered car,making the driving energy losses to a minimum,while the efficiency of the system be referred to the maximum.Compared to the pure electric vehicle which is no pollution,no noise and have the simple structure,but have the shortage of driving range and high cost,hybrid electric cars with the best fuel-economy,more travel,shorten the charging time and other advantages.In order to improve hybrid electric vehicle's battery energy storage system,requires higher battery charge and discharge rate,charge and discharge's time is short,which requires battery hybrid vehicles used must have high density on energy and high density on power.It's difficult for single battery energy storage system(BESS)to implement,therefore,we use hybrid energy storage system(HESS).This paper studied HEV storage capacity for a hybrid car's battery frequent charging and discharging of the power problem,the use of batteries and ultra capacitors(UC)as energy storage system at the same time,the use of high power characteristics super capacitors and high specific energy battery features to improve energy storage system.Ultra capacitors can be frequent to start,stop,accelerate and reduction to handle transient load in road vehicles.To improve the car's energy utilization.This paper studies the hybrid energy storage system,and improved its model.Using a worked in zero-voltage switching soft switching converter.With this two-way BUCK converter to connect the UC and the battery,it can be any two-way-down,so that the energy can flow between the two.In order to improve the conversion efficiency of the DC / DC converter,the traditional PID controller enslaved workers operating,exhibiting a long response time with some overshoot and large error in the steady-state.This paper presents the use of an improved adaptive genetic algorithm to optimize the controller parameters.Compared to the conventional PID controller,at the same conditions of the initial parameters,the overshoot of the latter is smaller,the steady-state error is smaller,to further improve the energy efficiency ofHESS.Create a dynamic model of super capacitors,power supply and control systems in Simulink,and implemented in the ADVISOR.The results showed that: the optimized HESS system current fluctuation range is reduced.Battery's maximum current from the 100 A reduced to about 30 A.This shows that adaptive genetic algorithm optimization controller played a very good role on overcharge,and over discharge control.Through experimental comparison,we can find optimized HESS energy efficiency increase 15.25%,achieved a reasonable distribution of batteries and super capacitor energy in hybrid energy storage system.It demonstrates the effectiveness of adaptive genetic algorithm to optimize the controller for HESS.To achieve a protective effect on the battery,extending the battery life.