Parameter Matching And Simulation Of Fuel Cell Electric Vehicle Powertrain System

The environmental and energy problems caused by traditional fuel vehicles are becoming increasingly fierce,research on new energy vehicles is of practical significance.Fuel cell electric vehicles are highly efficient and non-emission,which is the future development direction of automobiles.However,the current development of fuel cell electric vehicles has a lot of limitations,its use cost is high,and the cruising range is limited.This paper adopts a reasonable power system structure to match and optimize the parameters of the powertrain system to achieve the improvement of vehicle power and economy.This article takes the fuel cell electric vehicle powertrain system as the research object,analyzes the advantages and disadvantages of the four powertrain system structures,and adopts the combined structure of the fuel cell and the auxiliary battery.This structure introduces the auxiliary battery system to solve the problem of insufficient power caused by the slow response speed of the fuel cell in the starting and climbing states,This structure can also recover the braking energy.The principle of parameter matching is to meet the vehicle's power requirements,This article develops a powertrain system parameter matching method,determines the prototype vehicle parameters,and sets the power performance index.Parameter matching of driving motor,fuel cell system and auxiliary battery system according to the relevant theories of automobile dynamics,In order to minimize the energy consumption of the entire vehicle and the longest mileage under operating conditions,and ensure the economic performance and range of the vehicle,a particle swarm optimization algorithm is introduced for multi-objective optimization,Optimize the parameters of the powertrain system.Based on the automotive simulation software ADVISOR,the complete vehicle model,wheel model,drive system model,drive motor model,fuel cell model,and auxiliary battery model of the fuel cell electric vehicle are established.In the energy control strategy,the ON /OFF mode and power follow-up are compared.The working mode of the mode is to use the power following mode to keep the SOC value of the auxiliary battery of the vehicle in the best state,which is conducive to the cooperative work of the fuel cell and the auxiliary battery,and improves the vehicle economy.Using ADVISOR software,under the two conditions of CYC?UDDS urban road conditions and CYC?HWFET high-speed road conditions,the powertrain system of the fuel cell electric vehicle is simulated and analyzed,and the simulation results of parameter matching are analyzed,showing that the dynamic performance in both conditions meet the requirements of the set indicators,the fuel economy performance is good,the power system components work better;Simulation results are analyzed after parameter optimization,the vehicle's dynamic performance has been improved compared to before optimization,fueleconomy has also maintained a good state.The simulation results verify the rationality of the parameter matching method and the feasibility of using the particle swarm optimization algorithm to optimize the parameters of the powertrain system.