Fuel cell system control method and device

A fuel cell system and fuel cell technology, applied in the direction of fuel cell control, fuel cells, fuel cell additives, etc., can solve problems such as poor real-time performance, complex structure, and influence on the stability of the output characteristics of the fuel cell system, and achieve Effects of eliminating control signal cross-correlation problems and solving inertia and delay problems

Active Publication Date: 2019-08-09
ZHENGZHOU YUTONG BUS CO LTD
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Problems solved by technology

[0002] The proton exchange membrane fuel cell (PEMFC) system for vehicles is a multi-input multi-output nonlinear strong coupling system with a complex structure. In the actual operation process, failures will occur due to complex working conditions: lightly, the output performance of the fuel cell system will appear. Significant decline; if the fault cannot be ruled out, if the operation continues, it may cause irreversible damage to the stack or some of the single cells, and even hydrogen leakage, which will cause combustion or explosion if it encounters an open flame or electric spark; Therefore, it is necessary to predict and control the operating state of the fuel cell in real time to improve the stability and reliability of the fuel cell system.
[0003] The external load of the vehicle fuel cell system often has output power changes and load fluctuations, so that the internal pressure, temperature, humidity an

Method used

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  • Fuel cell system control method and device

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Embodiment 1

[0038] Embodiment 1 provides a fuel cell system control device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the program, a fuel cell system control method is implemented. The control The method includes the following steps, such as figure 1 Shown:

[0039] Step S1: Collect information and construct the original data sequence.

[0040] Collect m data for each of the n control signal variables of the fuel cell, where the control signal variables include output voltage signal, output current signal, stack outlet pressure signal, stack outlet temperature signal, system hydrogen pressure signal, conductivity signal, air The compressor outputs at least two of the pressure signal, the air flow signal, and the hydrogen flow signal, but not limited to the above four kinds of control signals, and the original data sequence is

[0041]

[0042] Wherein, n represents a control signal, and m repr...

Embodiment 2

[0070] On the basis of Example 1, such as figure 2 As shown, the second embodiment also observes the measured value at the next time after the above step S3, and compares the measured value at the next time with the set threshold range.

[0071] After the fuel cell is controlled by the reverse control strategy, the measured value at the next moment is obtained, and it is judged whether the measured value at the next moment exceeds the set threshold range. If so, the control sends out a fault alarm to remind the user to take corresponding measures.

[0072] In addition, because the above-mentioned fault alarm is only controlled by the determination of the actual measured value and the set threshold range once, the control is not precise enough, and false alarms may occur.

[0073] Therefore, this embodiment 2 also proposes that after the reverse adjustment of the control strategy of the fuel cell in step S3 of the above embodiment 1, a plurality of measured values ​​of several...

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Abstract

The invention relates to the technical field of fuel cell control, in particular to a fuel cell system control method and device. The device comprises a memory, a processor and a computer program which is stored in the memory and executable on the processor. The processor obtains control signals when executing the program so as to form an original data sequence. The corresponding prediction valueis calculated according to a multi-variable grey prediction model. When the prediction value exceeds the set threshold range, a control strategy for reversely adjusting the fuel cell is controlled. According to the method, the multi-variable gray-scale prediction method is introduced into the fuel cell control method so that that the cross correlation problem of the control signals, which is the fuel cell multi-system variable, can be eliminated, multiple control signals can be predicted simultaneously, reverse control can be performed in time when the prediction value is abnormal, the prediction control of the fuel cell system is realized and the inertia and delay problems of the fuel cell system can be solved.

Description

technical field [0001] The invention relates to the technical field of fuel cell control, in particular to a fuel cell system control method and device. Background technique [0002] The proton exchange membrane fuel cell (PEMFC) system for vehicles is a multi-input multi-output nonlinear strong coupling system with a complex structure. In the actual operation process, failures will occur due to complex working conditions: lightly, the output performance of the fuel cell system will appear. Significant decline; if the fault cannot be ruled out, if the operation continues, it may cause irreversible damage to the stack or some of the single cells, and even hydrogen leakage, which will cause combustion or explosion if it encounters an open flame or electric spark; Therefore, it is necessary to predict and real-time control the operating state of the fuel cell to improve the stability and reliability of the fuel cell system. [0003] The external load of the vehicle fuel cell s...

Claims

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Application Information

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IPC IPC(8): H01M8/04298H01M8/04992
CPCH01M8/04298H01M8/04992Y02E60/50
Inventor 李进王传秋李飞强程明岩李欣欣
Owner ZHENGZHOU YUTONG BUS CO LTD
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