CN114279652A - Fuel cell real-time detection method, system, computer and vehicle - Google Patents
Fuel cell real-time detection method, system, computer and vehicle Download PDFInfo
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- CN114279652A CN114279652A CN202111578210.5A CN202111578210A CN114279652A CN 114279652 A CN114279652 A CN 114279652A CN 202111578210 A CN202111578210 A CN 202111578210A CN 114279652 A CN114279652 A CN 114279652A
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- 239000000446 fuel Substances 0.000 title claims abstract description 98
- 238000011897 real-time detection Methods 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 15
- 230000004044 response Effects 0.000 claims abstract description 34
- 238000012545 processing Methods 0.000 claims abstract description 23
- 238000013139 quantization Methods 0.000 claims abstract description 11
- 230000010354 integration Effects 0.000 claims abstract description 9
- 230000036755 cellular response Effects 0.000 claims abstract description 7
- 238000011002 quantification Methods 0.000 claims abstract description 7
- 238000001514 detection method Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 239000000126 substance Substances 0.000 claims description 5
- 230000010355 oscillation Effects 0.000 abstract description 2
- 238000001453 impedance spectrum Methods 0.000 description 7
- 238000012360 testing method Methods 0.000 description 4
- 238000012546 transfer Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000000157 electrochemical-induced impedance spectroscopy Methods 0.000 description 2
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003054 catalyst Substances 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000027756 respiratory electron transport chain Effects 0.000 description 1
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
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Abstract
The invention relates to the technical field of new energy, in particular to a real-time detection method, a real-time detection system, a real-time detection computer and a real-time detection vehicle for a fuel cell, wherein the method comprises the steps of superposing and integrating waves with various frequencies into an integrated wave; inputting the integration wave into the fuel cell and receiving a waveform of a fuel cell response signal; splitting the waveform of the response signal and then respectively carrying out contrast/quantization processing; judging the working state of the fuel cell in real time according to the comparison/quantification processing result; the invention applies the multi-frequency superposed small-amplitude oscillation alternating current signal to the fuel cell in the working state, and respectively splits different frequency response results in the same time domain through the electric hardware, judges the state of the fuel cell in the time domain based on the response results, thereby accurately judging the fault of the fuel cell, optimizing the fault processing scheme of the fuel cell, improving the driving experience of the fuel cell automobile, and being the basis of large-scale application and identification of the fuel cell.
Description
Technical Field
The invention relates to the technical field of new energy, in particular to a fuel cell real-time detection method, a fuel cell real-time detection system, a fuel cell real-time detection computer and a vehicle.
Background
A fuel cell is a power generation device that converts chemical energy of fuel (hydrogen and air) into electric energy, and is considered as an important direction for sustainable development of the automotive industry in the future due to its advantages of high efficiency, zero emission, low noise, and the like.
Electrochemical Impedance Spectroscopy (EIS) testing is one of the effective measures of the internal resistance of various parts of a fuel cell by applying a small amplitude alternating current (voltage) signal to an operating fuel cell and measuring the voltage (current) signal in response to it, thereby calculating the impedance of various parts of the fuel cell. In the impedance spectrum (refer to fig. 1), the intersection point of the impedance and the real axis in the very high frequency region is denoted as the ohmic impedance (Rohm), which mainly consists of two parts, one part is related to the electron transmission, including the transmission resistance of electrons in the external circuit, GDL and CL bodies and the interface therebetween, and the other part is the transmission impedance of protons in the PEM. As the frequency decreases, a 45 ° slope line appears in the impedance spectrum, which represents the transfer impedance of protons in the cathode catalyst layer. When the frequency reaches the middle frequency region, a semi-circular curve is displayed in the impedance spectrum, and the impedance reflected by the ORR reaction is mainly recorded as the electron transfer impedance (Rct). As the frequency is further reduced, another half-circle curve appears in the low frequency region of the impedance spectrum, which is mainly due to the mass transfer impedance (Rmt) caused by the gas transfer being impeded
The impedance spectrum can be fitted by an equivalent circuit, so that ohmic impedance, reaction impedance and substance transmission impedance are quantized (refer to fig. 2), and the reason that the fuel cell fault is possible to occur is judged by comparing the data of each part of impedance after quantization.
The fuel cells applied to the market at present carry out fault judgment through voltage change of single cells, if a certain threshold value is exceeded, the fuel cells are firstly subjected to emergency shutdown and then are contacted with a fuel cell supplier for processing, but when the fuel cells encounter some non-serious faults (such as flooding and dry membrane), the working state of the fuel cells only needs to be optimized and recovered through some control strategies, so that how to clearly locate the cause of the faults through a detection means is particularly important for large-scale use of the fuel cells.
The electrochemical impedance spectrum test is one of effective measuring means for reflecting internal resistance of each part of the fuel cell, but the test is carried out successively through a single-frequency signal (10Hz-10000 Hz), so that time domains of results detected by different frequencies are different, deviation occurs at time points of high, medium and low frequency impedance tests, and the fuel cell is a fast-changing reaction body, so that the tested result is often inaccurate, and fault judgment of the fuel cell is influenced.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the transient fuel cell fault detection module is provided, so that the real-time state of the fuel cell can be detected more accurately, reasonable response is carried out on the fault, and the real-time fuel cell detection method, the system, the computer and the vehicle which are normally used by the fuel cell are guaranteed.
In order to solve the above technical problems, a first technical solution adopted by the present invention is:
a real-time detection method for a fuel cell,
waves with various frequencies are superposed and integrated into an integrated wave;
inputting the integration wave into the fuel cell and receiving a waveform of a fuel cell response signal;
splitting the waveform of the response signal and then respectively carrying out contrast/quantization processing;
and judging the working state of the fuel cell in real time according to the comparison/quantification processing result.
Preferably, the waves of the plurality of frequencies are all sine waves.
Preferably, the inputting of the integrated wave into the fuel cell and the receiving of the waveform of the fuel cell response signal further comprises
The integrated wave is input to the fuel cell from the positive terminal of the fuel cell and the waveform of the response signal at the negative terminal of the fuel cell is received.
Preferably, the splitting the waveforms of the response signals and comparing the split waveforms respectively further comprises
And splitting the waveform of the response signal, and comparing the split waveform with a oscillogram to obtain the impedance information of the fuel cell.
Preferably, the splitting of the waveform of the response signal and the quantization processing further comprise
And splitting the waveform of the response signal, and carrying out equivalent circuit processing of ohmic impedance, reactive impedance and substance transmission in impedance on the split waveform.
In order to solve the above technical problem, the second technical solution adopted by the present invention is:
a real-time detection system for fuel cell comprises
Waves with different frequencies generated by a plurality of frequency analog generators are superposed and integrated into an integrated wave;
inputting the integration wave into the fuel cell and receiving the waveform of the response signal of the fuel cell through the waveform receiver;
splitting the waveform of the response signal by a waveform simulator and then respectively carrying out contrast/quantization processing;
and the processor judges the working state of the fuel cell in real time according to the comparison/quantification processing result.
Preferably, the plurality of frequency analog generators includes a high frequency analog generator, a medium frequency analog generator, and a low frequency analog generator.
Preferably, the splitting by the waveform simulator comprises
Introducing the waveform of the response signal into a high-pass filter, a medium-pass filter and a low-pass filter;
after a high-pass filter is introduced, a high-frequency signal is obtained through a high-frequency signal receiver;
after the intermediate-pass filter is introduced, the intermediate-frequency signal is obtained through the intermediate-frequency signal receiver after the intermediate-pass filter is introduced again;
and a low-frequency signal is acquired by a low-frequency signal receiver after the low-pass filter is introduced.
In order to solve the above technical problems, the third technical solution adopted by the present invention is:
a computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the fuel cell real-time detection method when executing the computer program.
In order to solve the above technical problem, a fourth technical solution adopted by the present invention is:
a vehicle comprises the fuel cell real-time detection system.
The invention has the beneficial effects that: the invention applies the multi-frequency superposed small-amplitude oscillation alternating current signal to the fuel cell in the working state, and respectively splits different frequency response results in the same time domain through the electric hardware, judges the state of the fuel cell in the time domain based on the response results, thereby accurately judging the fault of the fuel cell, optimizing the fault processing scheme of the fuel cell, improving the driving experience of the fuel cell automobile, and being the basis of large-scale application and identification of the fuel cell.
Drawings
FIG. 1 is a prior art fuel cell impedance spectrum performance curve;
FIG. 2 is a prior art fuel cell equivalent fitting circuit;
FIG. 3 is a waveform diagram of an integration wave of a real-time fuel cell detection method according to an embodiment of the present invention;
fig. 4 is a block diagram of a real-time fuel cell detection system according to an embodiment of the present invention.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
Example one
A real-time detection method for a fuel cell,
waves of three frequencies (high, medium and low, and specific frequency is determined according to requirements) are superposed and integrated into an integrated wave, and refer to fig. 3;
inputting the integration wave into the fuel cell and receiving a waveform of a fuel cell response signal;
splitting the waveform of the response signal and then respectively carrying out contrast/quantization processing;
and judging the working state of the fuel cell in real time according to the comparison/quantification processing result.
The waves of the three frequencies are all sine waves, and can also be other regularly-searchable waveforms.
Inputting the integration wave into the fuel cell and receiving the waveform of the fuel cell response signal further comprises
The integrated wave is input to the fuel cell from the positive terminal of the fuel cell and the waveform of the response signal at the negative terminal of the fuel cell is received.
The splitting and comparing the waveforms of the response signals further comprises
And splitting the waveform of the response signal, and comparing the split waveform with a oscillogram to obtain the impedance information of the fuel cell.
The step of respectively carrying out quantization processing after splitting the waveform of the response signal further comprises
And splitting the waveform of the response signal, and carrying out equivalent circuit processing of ohmic impedance, reactive impedance and substance transmission in impedance on the split waveform.
Example two
Referring to fig. 4, a real-time fuel cell detection system includes
Waves with different frequencies generated by the three frequency analog generators are superposed and integrated into an integrated wave;
inputting the integration wave into the fuel cell and receiving the waveform of the response signal of the fuel cell through the waveform receiver;
splitting the waveform of the response signal by a waveform simulator and then respectively carrying out contrast/quantization processing;
and the processor judges the working state of the fuel cell in real time according to the comparison/quantification processing result.
The three frequency analog generators are respectively a high-frequency analog generator, a medium-frequency analog generator and a low-frequency analog generator.
The waveform simulator carries out the splitting and comprises
Introducing the waveform of the response signal into a high-pass filter, a medium-pass filter and a low-pass filter;
after a high-pass filter is introduced, a high-frequency signal is obtained through a high-frequency signal receiver;
after the intermediate-pass filter is introduced, the intermediate-frequency signal is obtained through the intermediate-frequency signal receiver after the intermediate-pass filter is introduced again;
and a low-frequency signal is acquired by a low-frequency signal receiver after the low-pass filter is introduced.
EXAMPLE III
A computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the fuel cell real-time detection method according to the first embodiment when executing the computer program.
Example four
A vehicle comprising the real-time fuel cell detection system of embodiment two.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.
Claims (10)
1. A real-time detection method for fuel cell is characterized in that,
waves with various frequencies are superposed and integrated into an integrated wave;
inputting the integration wave into the fuel cell and receiving a waveform of a fuel cell response signal;
splitting the waveform of the response signal and then respectively carrying out contrast/quantization processing;
and judging the working state of the fuel cell in real time according to the comparison/quantification processing result.
2. The real-time detection method for the fuel cell according to claim 1, wherein the waves of the plurality of frequencies are all sine waves.
3. The real-time detection method for a fuel cell as claimed in claim 1, wherein inputting the integrated wave into the fuel cell and receiving the waveform of the fuel cell response signal further comprises
The integrated wave is input to the fuel cell from the positive terminal of the fuel cell and the waveform of the response signal at the negative terminal of the fuel cell is received.
4. The real-time detection method for the fuel cell according to claim 1, wherein the splitting and comparing the waveforms of the response signals further comprises
And splitting the waveform of the response signal, and comparing the split waveform with a oscillogram to obtain the impedance information of the fuel cell.
5. The real-time detection method of the fuel cell according to claim 1, wherein the splitting of the waveform of the response signal and the quantization processing further comprise
And splitting the waveform of the response signal, and carrying out equivalent circuit processing of ohmic impedance, reactive impedance and substance transmission in impedance on the split waveform.
6. A real-time detection system for fuel cell is characterized by comprising
Waves with different frequencies generated by a plurality of frequency analog generators are superposed and integrated into an integrated wave;
inputting the integration wave into the fuel cell and receiving the waveform of the response signal of the fuel cell through the waveform receiver;
splitting the waveform of the response signal by a waveform simulator and then respectively carrying out contrast/quantization processing;
and the processor judges the working state of the fuel cell in real time according to the comparison/quantification processing result.
7. The real-time fuel cell detection system of claim 6, wherein the plurality of frequency analog generators comprises a high frequency analog generator, a medium frequency analog generator, and a low frequency analog generator.
8. The real-time fuel cell detection system of claim 7, wherein the splitting of the waveform simulator comprises
Introducing the waveform of the response signal into a high-pass filter, a medium-pass filter and a low-pass filter;
after a high-pass filter is introduced, a high-frequency signal is obtained through a high-frequency signal receiver;
after the intermediate-pass filter is introduced, the intermediate-frequency signal is obtained through the intermediate-frequency signal receiver after the intermediate-pass filter is introduced again;
and a low-frequency signal is acquired by a low-frequency signal receiver after the low-pass filter is introduced.
9. A computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the fuel cell real-time detection method according to any one of claims 1 to 5 when executing the computer program.
10. A vehicle characterized by comprising the fuel cell real-time detection system according to any one of claims 6 to 8.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111578210.5A CN114279652A (en) | 2021-12-22 | 2021-12-22 | Fuel cell real-time detection method, system, computer and vehicle |
| PCT/CN2022/111835 WO2023115984A1 (en) | 2021-12-22 | 2022-08-11 | Fuel cell real-time detection method and system, computer, and vehicle |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111578210.5A CN114279652A (en) | 2021-12-22 | 2021-12-22 | Fuel cell real-time detection method, system, computer and vehicle |
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| CN114279652A true CN114279652A (en) | 2022-04-05 |
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| CN202111578210.5A Pending CN114279652A (en) | 2021-12-22 | 2021-12-22 | Fuel cell real-time detection method, system, computer and vehicle |
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| WO (1) | WO2023115984A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023115984A1 (en) * | 2021-12-22 | 2023-06-29 | 北京国家新能源汽车技术创新中心有限公司 | Fuel cell real-time detection method and system, computer, and vehicle |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050287402A1 (en) * | 2004-06-23 | 2005-12-29 | Maly Douglas K | AC impedance monitoring of fuel cell stack |
| JP2009004299A (en) * | 2007-06-25 | 2009-01-08 | Toyota Motor Corp | Fuel cell system and impedance measuring method of fuel cell system |
| JP2010044000A (en) * | 2008-08-18 | 2010-02-25 | Yokogawa Electric Corp | Method and apparatus for evaluating impedance characteristic of battery, and control method and control apparatus of battery |
| CN109726452A (en) * | 2018-12-12 | 2019-05-07 | 浙江大学 | A kind of online Proton Exchange Membrane Fuel Cells method for diagnosing faults based on impedance spectrum |
| CN111580006A (en) * | 2020-05-29 | 2020-08-25 | 中国电力科学研究院有限公司 | Online measurement method and system for dynamic impedance of battery |
| CN111830419A (en) * | 2020-06-23 | 2020-10-27 | 同济大学 | Fuel cell online impedance measurement method and device |
| CN113611900A (en) * | 2021-07-05 | 2021-11-05 | 中国计量大学 | Membrane dry fault diagnosis method of proton exchange membrane fuel cell |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AT500968B8 (en) * | 2004-10-07 | 2007-02-15 | Avl List Gmbh | METHOD FOR MONITORING THE OPERATING STATE OF A FUEL CELL STACK |
| CN201156079Y (en) * | 2007-12-27 | 2008-11-26 | 武汉理工大学 | Single slice battery essential resistance and voltage on-line testing system for fuel cell pile |
| CN114279652A (en) * | 2021-12-22 | 2022-04-05 | 北京国家新能源汽车技术创新中心有限公司 | Fuel cell real-time detection method, system, computer and vehicle |
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- 2021-12-22 CN CN202111578210.5A patent/CN114279652A/en active Pending
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- 2022-08-11 WO PCT/CN2022/111835 patent/WO2023115984A1/en unknown
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050287402A1 (en) * | 2004-06-23 | 2005-12-29 | Maly Douglas K | AC impedance monitoring of fuel cell stack |
| JP2009004299A (en) * | 2007-06-25 | 2009-01-08 | Toyota Motor Corp | Fuel cell system and impedance measuring method of fuel cell system |
| JP2010044000A (en) * | 2008-08-18 | 2010-02-25 | Yokogawa Electric Corp | Method and apparatus for evaluating impedance characteristic of battery, and control method and control apparatus of battery |
| CN109726452A (en) * | 2018-12-12 | 2019-05-07 | 浙江大学 | A kind of online Proton Exchange Membrane Fuel Cells method for diagnosing faults based on impedance spectrum |
| CN111580006A (en) * | 2020-05-29 | 2020-08-25 | 中国电力科学研究院有限公司 | Online measurement method and system for dynamic impedance of battery |
| CN111830419A (en) * | 2020-06-23 | 2020-10-27 | 同济大学 | Fuel cell online impedance measurement method and device |
| CN113611900A (en) * | 2021-07-05 | 2021-11-05 | 中国计量大学 | Membrane dry fault diagnosis method of proton exchange membrane fuel cell |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023115984A1 (en) * | 2021-12-22 | 2023-06-29 | 北京国家新能源汽车技术创新中心有限公司 | Fuel cell real-time detection method and system, computer, and vehicle |
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| WO2023115984A1 (en) | 2023-06-29 |
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