Application Of ICSO Algorithm In Proton Exchange Membrane Fuel Cell

Proton exchange membrane fuel cell(PEMFC)has been gradually applied in new energy vehicles,aviation and other industries,attracting widespread attention.The accurate mathematical model of output characteristics of PEMFC is helpful to simulate,control and predict its Current-Voltage(I-V)curve.In this paper,the intelligent optimization algorithm is applied to PEMFC modeling to improve the prediction accuracy of the polarization curve of PEMFC model and the dynamic response of the PEMFC.The main research results are as follows:(1)The accuracy of identifying unknown parameters in PEMFC mathematical model is an important factor affecting the modeling results.In order to identify the optimal unknown parameters,based on Chicken Swarm Optimization(CSO),this paper introduces forward/reverse learning strategies for roosters and forward learning strategies for hens and chicks.An Improved Chicken Swarm Optimization(ICSO)algorithm is proposed.Compared with Particle Swarm Optimization(PSO),Salp Swarm Algorithm(SSA),Whale Optimization Algorithm(WOA)and CSO,the proposed algorithm shows better convergence and accuracy.The five algorithms are applied to three common stacks(250W PEMFC,Ned Stack PS6 PEMFC,Ballard Mark V)and PEMFC single cell for model unknown parameter identification and optimization.The results show that,the ICSO algorithm obtains the minimum absolute error sum of the actual stack voltage and the simulated stack voltage in the three test stacks and single cell,which are 2.288 V,5.857 V,2.407 V and 0.408 V respectively,indicating that the mathematical model of PEMFC based on ICSO algorithm can accurately simulate the polarization curve at different temperatures and partial pressures.(2)Aiming at the problem of performance degradation caused by frequent load changes of PEMFC in actual use,first of all,three-dimensional two-phase model is established by applying the Fluent software,the dynamic response process of current transient load simulation,reveal the transient loading process inside the PEMFC dynamic change law of various components over time,find out the mechanism of the dynamic response process output voltage down.Then,combined with the gas supply system model and temperature system model,the PEMFC dynamic simulation MATLAB/Simulink model is built.Through the combination of experiments and simulation,the dynamic response of PEMFC single cell under different operating parameters is studied.The results show that increasing the PEMFC temperature,cathode air pressure and anode gas relative humidity is more beneficial to improve the dynamic response of PEMFC,but these parameters are often difficult to control in practical application.Therefore,in this paper,the performance change of PEMFC caused by current mutation is improved by adjusting the hydrogen flow rate.Taking time times absolute error integral as the objective function,PSO algorithm,CSO algorithm and ICSO algorithm are used to optimize PID controller parameters,and then adjust the hydrogen flow of PEMFC to maintain constant voltage output.The results show that: When the current of PEMFC is abrupt,the PID controller optimized based on ICSO algorithm can make the voltage return to the desired voltage more quickly and with less fluctuation.