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A fuel cell water content estimation method

A fuel cell water and content technology, applied in fuel cells, circuits, calculations, etc., can solve problems such as low estimation accuracy and heavy workload

Inactive Publication Date: 2019-06-04
TSINGHUA UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] Based on this, it is necessary to provide a method for estimating the water content of fuel cells in order to solve the problems of heavy workload and low estimation accuracy in the water content estimation process

Method used

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  • A fuel cell water content estimation method
  • A fuel cell water content estimation method
  • A fuel cell water content estimation method

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Embodiment Construction

[0083] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention can be implemented in many other ways different from those described here, and those skilled in the art can make similar improvements without departing from the connotation of the present invention, so the present invention is not limited by the specific implementations disclosed below.

[0084] The invention provides a method for estimating the water content of a fuel cell. See figure 1 , the method for estimating the fuel cell water content includes:

[0085] Step S110, construct a cathode two-chamber model, and define the state variables of the cathode two-chamber...

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Abstract

The invention provides a fuel cell water content estimation method. The method comprises the following steps: constructing a cathode two-cavity model, and defining a state variable, an input and an output; constructing an unscented Kalman filter based on the cathode two-cavity model; according to the acquired average current density, average voltage, cathode air supply flow, cathode inlet and outlet voltage difference and cathode back pressure of the fuel cell, calculating an estimated value of a state variable of the cathode two-cavity model by using the unscented Kalman filter; and determining the water content of the fuel cell according to the estimated value of the state variable. In the embodiment of the invention, when the cathode two-cavity model is established, the difference between the gas concentration and the current density along the flow channel direction is considered, which is closer to the real working state, and the estimation precision is favorably improved. And themethod only needs to measure parameters such as voltage, cathode inlet and outlet voltage difference, average current density, cathode air supply flow, cathode back pressure and the like, so that themeasurement workload of the system is reduced.

Description

technical field [0001] The invention relates to the technical field of proton exchange membrane fuel cells, in particular to a method for estimating the water content of the fuel cell. Background technique [0002] Proton exchange membrane fuel cell has the advantages of high efficiency and zero emission, and is an ideal power source for electric vehicles. During the working process of proton exchange membrane fuel cells, the internal water content has a great influence on the performance and durability. When the internal water content is too low, the proton conductivity of the proton exchange membrane decreases, the voltage drop caused by proton transport increases, the output voltage of the system decreases, and the efficiency becomes low. Too low internal water content may also affect the contact between various layers such as the proton exchange membrane, catalyst layer and gas diffusion layer inside the fuel cell, resulting in a problem of reduced durability. When the...

Claims

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Application Information

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IPC IPC(8): G06F17/50H01M8/04992
CPCY02E60/50
Inventor 李建秋江宏亮徐梁飞胡骏明欧阳明高
Owner TSINGHUA UNIV
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