Optimization Of Proton Exchange Membrane Fuel Cell And Design Of Monitoring Platform

Proton exchange membrane fuel cells(PEMFC)have the advantages of low operating temperature,quick start-up and pollution-free operation,it can be used in many fields such as distributed energy,mobile equipment,new energy vehicles and so on.Over the past two decades,fuel cell technologies were extensively studied by many researchers.In this thesis,the PEMFC simulation and analysis are carried out based on the previous research work,the model parameters and operating conditions are optimized,and the PEMFC monitoring platform is designed based on these studies.The main contents of this thesis are as follows:Firstly,the background and significance of the research is briefly introduced,and the principle,characteristics and application of PEMFC are descried.Secondly,according to the previous research,the electrochemical steady-state model and voltage dynamic model are established by using MATLAB/SIMULINK,then this model is used to analyze the output performance of PEMFC by adjusting the temperature,pressure and humidity,and to study the effect to the PEMFC output performance.Thirdly,intelligent optimization algorithms is used to optimize the model parameters and operating conditions of PEMFC.The model parameters of fuel cell are optimized by using the linearly decreasing inertia weight particle swarm optimization(LDW-PSO)algorithm,and the optimized model is simulated with the experimental data.The simulation results are in good agreement with the experimental data,which shows the feasibility of using the optimization algorithm to optimize the model parameters.The operating conditions of the PEMFC are also optimized by using the LDW-PSO algorithm,and the operating conditions for maximizing the power and efficiency of the fuel cell are obtained.Aiming at solving the multi-objective optimization problem of cost and efficiency,one method is to transform the multi-objective optimization problem into a single objective by setting the weights of objectives,then use LDW-PSO algorithm to solve the optimal combination of different weights.Another method is using summation based multi-objective differential evolution(SMODE)algorithm to solve the problem,comparing the optimization results with the results of the non-dominated sorting genetic algorithm II(NSGA-II),it shows the feasibility and superiority of the algorithm in solving this multi-objective optimization problem.Finally,LabVIEW is used to design the monitoring platform of PEMFC system.This platform includes user management module,simulation module,data monitoring module and data management module.From the test,each module can run well and meet the design requirements,which shows the feasibility of the design.