Proton exchange membrane fuel cell model optimizing process method

A technology of proton exchange membranes and fuel cells, which is applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., and can solve problems such as unsatisfactory optimization performance, poor performance, and slow convergence speed

Active Publication Date: 2013-10-02
SICHUAN HUATAI ELECTRIC
View PDF2 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Proton exchange membrane fuel cell model optimizing process method
  • Proton exchange membrane fuel cell model optimizing process method
  • Proton exchange membrane fuel cell model optimizing process method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0118] Using the present invention to compare documents "Correa, JM, Farret, FA, Canha, LN, and Simoes, MG," An electrochemical-based fuel-cell model suitable for electrical engineering automation approach, "IEEE Transactions on Industrial Electronics, 51(5) pp.1103-1112, 2004" SR-12 Modular PEM Genrator fuel cell for modeling. The experiment uses Matlab as the experimental tool, and performs modeling on an HP workstation with a CPU of Xeon 2.93GHz, a memory of 12G, and an operating system of Windows7.

[0119] The specific implementation steps of the multi-criteria adaptive differential evolution processing method for proton exchange membrane fuel cell modeling provided by the present invention are as follows:

[0120] Step 1: Obtain the fuel cell structure parameters n is 48, l is 0.0025cm, and A is 62.5cm 2 , The working parameter T of the fuel cell is 323K, Is 1.47628atm, Is 0.2095atm, measuring 37 pairs of current-voltage data points, as shown in Table 1, define the objectiv...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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 for their characteristics of low working temperature, low working pressure, fast starting speed, high output power, no pollutant emissions and fast response to load changes. They are considered to be future electric vehicles, fixed power stations, etc. 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 more complicated. The mathematical model is a quick tool for the research of proton exchange membrane fuel cells. Therefore, the establishment of an accurate mathematical model is of great significance to the theoretical research and engineering application of proton exchan...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/50
Inventor 张葛祥程吉祥
Owner SICHUAN HUATAI ELECTRIC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products