Proton exchange membrane fuel cell model optimization processing method

Abstract

The invention relates to a fuel cell, and discloses a proton exchange membrane fuel cell model optimizing process method. According to the technical scheme of the invention, structural parameters of a fuel cell are inquired at first, then working parameters and output voltages under different output currents of the fuel cell are measured by instruments, after the mean value of error sum of squares of the estimated output voltages of a fuel cell model and actually-measured output voltages is defined as an objective function for optimal modeling, model parameters are obtained by an optimization technique, and the model is provided for researching the proton exchange membrane fuel cell. The model obtained by the method is higher in precision and stronger in stability. When modeling is performed repeatedly for multiple times, all of the optimal value, the worst value, the mean value, and the standard deviation of the objective function values of the model are smaller, wherein the optimal value, the worst value, the mean value represent the precision of the model, and the standard deviation represents the stability of the model. When modeling is performed for the proton exchange membrane fuel cell by the method, better convergence is achieved.

Description

technical field [0001] The invention relates to a fuel cell, in particular to an intelligent optimization processing method for a proton exchange membrane fuel cell model. Background technique [0002] Proton exchange membrane fuel cells have been widely studied due to their low operating temperature, low operating pressure, fast start-up speed, high output power, no pollutant emissions, and fast response to load changes. clean energy of choice. However, the proton exchange membrane fuel cell system is a complex nonlinear, multivariable, and strongly coupled dynamic system, and its design and performance verification are relatively complicated. Mathematical models are a quick tool for proton exchange membrane fuel cell research. Therefore, it is of great significance to establish an accurate mathematical model for the theoretical research and engineering application of proton exchange membrane fuel cells. [0003] The main methods of proton exchange membrane fuel cell mode...

AI Technical Summary

Problems solved by technology

At present, in the field of differential evolution, there are some methods with better performance than other intelligent optimization techniques, such as SDE and CoDE, but they have defects such as unsatisfactory optimization performance and slow convergence speed, and their performance is not good when solving complex engineering optimization problems.

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