Hydrogen Fuel Cell Performance Study Based on NSGA-Ⅱ Multi-objective Optimization Algorithm
In order to accurately predict the performance of HFC(Hydrogen Fuel Cell)and improve battery durability,a multi-physical coupling model of HFC was established,the predicted items were electrical and mechanical properties,and the HFC properties were comprehensively evaluated according to the predicted results;the global sensitivity analysis of Sobol'parameter was carried out to determine the key factors affecting HFC performance and generate decision variables;simulation verification was carried out,optimization results based on NSGA-Ⅱ multi-objective optimization algorithm were taken as simulation data,and the feasibility of the algorithm was evaluated according to the simulation results.The results showed that the maximum first principal stress error was 1.36％,and the maximum output power density error was 2.99％,both of which were within the allowable range,and the NSGA-Ⅱ multi-objective optimization algorithm had high precision and can be used as a performance prediction method for HFC,the prediction results based on which were of guiding significance,and can provide a basis for improving the performance of HFC.
hydrogen fuel cellNSGA-Ⅱ multi-objective optimization algorithmperformance study
NETL
NSTL
万方数据
