Fuel cell optimization modeling method integrated with krill behavior artificial bee colony algorithm

An artificial bee colony algorithm and fuel cell technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems such as low optimization accuracy and slow convergence speed, and achieve faster convergence speed and faster convergence speed , Optimizing the effect of high precision

Inactive Publication Date: 2018-05-22
ZHEJIANG UNIV
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, when the above algorithm solves the proton exchange membrane fuel cell modeling problem, there are still shortcomings such as low optimization accuracy and slow convergence speed.

Method used

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  • Fuel cell optimization modeling method integrated with krill behavior artificial bee colony algorithm
  • Fuel cell optimization modeling method integrated with krill behavior artificial bee colony algorithm
  • Fuel cell optimization modeling method integrated with krill behavior artificial bee colony algorithm

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Embodiment

[0069] The method of the present invention is used in the determination of the proton exchange membrane fuel cell (PEMFC) model, and the effectiveness of the artificial bee colony algorithm fused with krill behavior in fuel cell modeling optimization is further described in detail.

[0070] A proton exchange membrane fuel cell (PEMFC) consists of an anode, a cathode, and a polymer electrolyte between the electrodes, such as figure 2 shown. Hydrogen and oxygen enter the anode and cathode channels, respectively, where they permeate through the porous electrodes to their respective catalytic layers. In the catalytic layer of the anode, the hydrogen gas is decomposed into hydrogen ions and electrons, and the hydrogen ions pass through the membrane and enter the cathode area. Electrons are transported to the cathode through an external circuit. In the catalytic layer of the cathode, oxygen combines with hydrogen ions and electrons to produce water. The electrochemical reaction ...

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Abstract

The invention discloses a fuel cell optimization modeling method for a fusion krill behavior artificial bee colony algorithm. The fuel cell optimization modeling method comprises the following steps: 1) acquiring fuel cell current input and voltage output sampling data through field operation or an experiment; 2) taking the error sum of squares of voltage estimation output and actual voltage output of a fuel cell model as a target function; 3) by virtue of the inspiration of a krill behavior under the guide effect of other individuals in a population, proposing an employed bee phase position improvement rule, and proposing the fuel cell optimization modeling method for the fusion krill behavior artificial bee colony algorithm; 4) setting algorithm operating parameters; 5) estimating unknown parameters in the fuel cell model by operating the fusion krill behavior artificial bee colony algorithm, obtaining a parameter estimation value of the fuel cell model by minimizing the target function, and substituting the parameter estimation value into the fuel cell model to form a mathematical model. The modeling method disclosed by the invention has the characteristics of high optimization precision and high convergence rate, and is also suitable for modeling of other complex chemical reaction processes.

Description

technical field [0001] The invention relates to an optimization modeling method, in particular to a fuel cell optimization modeling method integrated with a krill behavior artificial bee colony algorithm. Background technique [0002] At present, the contradiction between energy demand and environmental protection has become increasingly prominent, and has become an important issue related to whether the national economy and people's lives can achieve sustainable development. Traditional mineral energy sources such as coal, oil, and natural gas are facing problems such as sharp decline in reserves, serious pollution, and increased mining costs. The development of safe, clean and efficient new energy has become the focus of researchers. [0003] Among all kinds of fuel cells, proton exchange membrane fuel cell (PEMFC) uses hydrogen as fuel because of its high efficiency, safety, environmental friendliness, low operating temperature, fast start-up, high specific power, conven...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 张思朋王宁
Owner ZHEJIANG UNIV
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