A Method for Predicting the Remaining Service Life of a Proton Exchange Membrane Fuel Cell Stack
A proton exchange membrane, fuel cell stack technology, applied in fuel cells, fuel cell additives, fuel cell control and other directions, can solve problems such as low repeatability, and achieve the effect of improving prediction accuracy and accurate prediction results
Active Publication Date: 2021-02-02
TONGJI UNIV
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Problems solved by technology
This invention is easy to realize, but fails to analyze the reasons for the degradation of battery performance from the mechanism, and the repeatability is low
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[0035] Such as figure 1 As shown, a method for predicting the remaining service life of a proton exchange membrane fuel cell stack, the method includes a training phase and a prediction phase, wherein,
[0036] The training phase includes the following steps:
[0037] (A1) Construct the voltage prediction model of proton exchange membrane fuel cell;
[0038] (A2) Obtain the operating parameters of the proton exchange membrane fuel cell, and construct a training sample;
[0039] (A3) training a voltage prediction model based on training samples;
[0040] The prediction phase includes the following steps:
[0041] (B1) Set the cycle working conditions in the prediction stage;
[0042] (B2) Obtaining the monolithic average voltage of the proton exchange membrane fuel cell to be predicted by using the voltage prediction model;
[0043] (B3) Taking the average voltage of the single sheet corresponding to the current density under the rated power as the reference voltage, obtai...
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Abstract
The present invention relates to a method for predicting the remaining service life of a proton exchange membrane fuel cell stack, the method comprising a training phase and a prediction phase, the training phase comprising the steps of: (A1) constructing a voltage prediction model of a proton exchange membrane fuel cell; (A2 ) to obtain the operating parameters of the proton exchange membrane fuel cell, and construct a training sample; (A3) train the voltage prediction model based on the training sample; The model obtains the single-chip average voltage of the proton exchange membrane fuel cell to be predicted; (B3) takes the single-chip average voltage corresponding to the current density at rated power as the reference voltage, and obtains the single-chip average voltage of the proton exchange membrane fuel cell to be predicted The remaining service life of the fuel cell stack is obtained from the voltage relative to the time corresponding to a 10% drop of the reference voltage. Compared with the prior art, the prediction accuracy of the present invention is high.
Description
technical field [0001] The invention belongs to the field of proton exchange membrane fuel cells, in particular to a method for predicting the remaining service life of a proton exchange membrane fuel cell stack. Background technique [0002] Proton exchange membrane fuel cell is an electrochemical power generation device, which has the advantages of high energy efficiency, environmental friendliness, and low noise. It is considered to be a new generation of automobile power source with great potential in the future. However, the short service life is one of the technical bottlenecks restricting the development of fuel cells. In order to prolong the service life of the fuel cell stack, it is particularly important to build an accurate life prediction model. [0003] Vehicle fuel cells need to deal with different working road conditions in the actual working process, such as start-stop, idling speed, rated working conditions and overload operation, etc. The changes in workin...
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IPC IPC(8): H01M8/04298G06F30/20G06F111/10
CPCH01M8/04305Y02E60/50
Inventor 张存满欧明阳杨代军张若凡
Owner TONGJI UNIV