CN117457947A - Method, device, equipment and storage medium for determining faults of fuel cell - Google Patents
Method, device, equipment and storage medium for determining faults of fuel cell Download PDFInfo
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- H01M8/00—Fuel cells; Manufacture thereof
- H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
- H01M8/04298—Processes for controlling fuel cells or fuel cell systems
- H01M8/04313—Processes for controlling fuel cells or fuel cell systems characterised by the detection or assessment of variables; characterised by the detection or assessment of failure or abnormal function
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- H01M8/00—Fuel cells; Manufacture thereof
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- H01M8/04641—Other electric variables, e.g. resistance or impedance of the individual fuel cell
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- H—ELECTRICITY
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- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M8/00—Fuel cells; Manufacture thereof
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- H01M8/04298—Processes for controlling fuel cells or fuel cell systems
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- H01M8/04671—Failure or abnormal function of the individual fuel cell
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Abstract
The invention discloses a fault determination method, device and equipment for a fuel cell and a storage medium. The method comprises the following steps: acquiring fuel cell related parameters corresponding to a fuel cell to be detected, wherein the fuel cell related parameters comprise at least one of high-frequency impedance, average monolithic voltage, single voltage range and single voltage standard deviation; determining fuel cell difference data according to standard attribute data corresponding to the fuel cell associated parameters and the actual attribute data; and determining a fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition, wherein the fault state comprises a fault level of no fault and a fault. The problem of low accuracy of determining the faults of the fuel cell is solved, and the beneficial effect of improving the accuracy of determining the faults of the fuel cell is achieved.
Description
Technical Field
The present invention relates to the field of fuel cell detection technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a fault of a fuel cell.
Background
The service life and reliability of the fuel cell are important factors limiting commercialization, the fuel cell engine can cause faults such as dry film, water flooding and the like due to environmental factors, component aging, component control and the like in operation, and irreversible attenuation of the performance can be caused when the faults are serious.
For typical faults of the fuel cell, the working state of the fuel cell engine needs to be diagnosed in real time, and when the fuel cell fails, an effective recovery strategy is adopted to enable the fuel cell to work normally. The existing fuel cell diagnosis strategies are mostly used for diagnosing the state of the fuel cell based on signals such as voltage, voltage drop and impedance of the fuel cell, but the fault degree of the fuel cell is different from the fault performance of the fuel cell under different conditions, so that the fault degree of the fuel cell needs to be divided to execute decisions under different fault grade states. After the fuel cell runs for a long time, the operating point of the fuel cell shifts due to aging of the stack, so that the operating condition in the initial state is not the optimal operating state of the stack, and the accuracy of system diagnosis is low.
Disclosure of Invention
The invention provides a fault determination method, device and equipment of a fuel cell and a storage medium, which are used for solving the problem of low accuracy of fault determination of the fuel cell.
According to an aspect of the present invention, there is provided a failure determination method of a fuel cell, characterized by comprising:
acquiring fuel cell related parameters corresponding to a fuel cell to be detected, wherein the fuel cell related parameters comprise at least one of high-frequency impedance, average monolithic voltage, single voltage range and single voltage standard deviation;
determining fuel cell difference data according to standard attribute data corresponding to the fuel cell associated parameters and the actual attribute data;
and determining a fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition, wherein the fault state comprises a fault level of no fault and a fault.
According to another aspect of the present invention, there is provided a failure determination apparatus of a fuel cell, the apparatus comprising:
a parameter obtaining unit, configured to obtain a fuel cell related parameter corresponding to a fuel cell to be detected, where the fuel cell related parameter includes at least one of a high frequency impedance, an average monolithic voltage, a single voltage range, and a single voltage standard deviation;
a difference data determining unit, configured to determine fuel cell difference data according to standard attribute data corresponding to the fuel cell correlation parameter and the actual attribute data;
And a fault state determining unit configured to determine a fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition, where the fault state includes a failure level at which no fault occurs and a failure occurs.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the fault determination method of the fuel cell according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to execute the method for determining a failure of a fuel cell according to any one of the embodiments of the present invention.
According to the technical scheme, the fuel cell related parameters corresponding to the fuel cell to be detected are obtained, wherein the fuel cell related parameters comprise at least one of high-frequency impedance, average monolithic voltage, single voltage range and single voltage standard deviation; and accurately establishing the corresponding relation between the fuel cell to be detected and the related parameters of the fuel cell. Then, determining fuel cell difference data according to standard attribute data corresponding to the fuel cell associated parameters and the actual attribute data; accurately determining difference data between actual attribute data in the fuel cell associated parameters and standard attribute data; and finally, determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault judgment condition, wherein the fault state comprises a fault level of no fault and a fault level of the fault. The problem of low accuracy of determining the faults of the fuel cell is solved, and the beneficial effect of improving the accuracy of determining the faults of the fuel cell is achieved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a fault determination method of a fuel cell according to a first embodiment of the present invention;
fig. 2a is a flowchart of a fault determining method of a fuel cell according to a second embodiment of the present invention;
fig. 2b is a flowchart showing an alternative example of a fault determining method for a fuel cell according to a second embodiment of the present invention;
fig. 3 is a schematic structural view of a failure determining apparatus of a fuel cell according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device implementing a failure determination method of a fuel cell according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for determining a fault of a fuel cell according to an embodiment of the present invention, where the method may be performed by a fault determining apparatus of a fuel cell, and the fault determining apparatus of a fuel cell may be implemented in hardware and/or software, and the fault determining apparatus of a fuel cell may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, acquiring a fuel cell related parameter corresponding to the fuel cell to be detected, wherein the fuel cell related parameter comprises at least one of high-frequency impedance, average single-chip voltage, single-chip voltage range and single-chip voltage standard deviation.
The fuel cell-related parameter may be understood as a parameter having a relationship with the fuel cell.
Specifically, the correspondence between the fuel cell and the fuel cell-related parameter may be established by acquiring the fuel cell-related parameter of the fuel cell.
Optionally, the fuel cell-related parameter includes a cell voltage.
Optionally, before the obtaining the fuel cell related parameter corresponding to the fuel cell to be detected, the method further includes: obtaining the maximum single voltage, the minimum single voltage, the single voltage quantity and the battery voltage of the fuel battery to be detected; determining that the cell voltage corresponding to the cell to be detected is extremely poor according to the difference value between the maximum cell voltage and the minimum cell voltage corresponding to the fuel cell related parameter; and determining a cell voltage standard deviation based on the cell voltage number, the battery voltage, and the standard average cell voltage.
Specifically, according to the difference between the maximum single voltage and the minimum single voltage corresponding to the fuel cell related parameter, determining a single voltage range corresponding to the to-be-detected battery, wherein a single voltage range calculation formula is as follows:
R＝V max -V min
wherein R is the extreme difference of the voltage of the monomer, V max At maximum monomer voltage, V min Is the minimum monolithic voltage.
Specifically, the standard deviation of the cell voltage is determined based on the cell voltage number, the battery voltage and the standard average monolithic voltage, and the calculation formula of the standard deviation of the cell voltage is as follows:
wherein S is the standard deviation of the voltage of the monomer, V i Voltage of single cell, V avg For average monolithic voltage, n is the number of monolithic voltages.
S120, determining fuel cell difference data according to the standard attribute data corresponding to the fuel cell associated parameters and the actual attribute data.
The standard attribute data can be understood as data of fuel cell calibration. The actual attribute data may be understood as data that monitors the current fuel cell in real time.
Specifically, standard attribute data corresponding to the fuel cell associated parameters and the actual attribute data are acquired, and difference data between the actual attribute data and the standard attribute data is determined. The difference data comprise data such as average single-chip voltage difference, high-frequency impedance difference, single voltage range, single voltage standard deviation and the like.
Optionally, the determining fuel cell difference data according to the standard attribute data and the actual attribute data corresponding to the fuel cell association parameter includes at least one of the following operations:
determining an average monolithic voltage difference from a difference between a standard average monolithic voltage in the standard attribute data and an actual average monolithic voltage in the actual attribute data;
determining a high-frequency impedance difference from a difference between a standard high-frequency impedance of the standard attribute data and an actual high-frequency impedance in the actual attribute data;
determining a single voltage range according to a difference between a standard single voltage range in the standard attribute data and an actual single voltage range in the actual attribute data;
and determining the standard deviation of the monomer voltage according to the difference between the standard deviation of the standard monomer voltage in the standard attribute data and the standard deviation of the actual monomer voltage in the actual attribute data.
Specifically, fuel cell difference data is determined based on the difference between the standard attribute data and the actual attribute data corresponding to the standard attribute data, and an exemplary calculation formula of the average voltage difference is as follows:
ΔV avg ＝V avg0 -V avgt
wherein DeltaV avg To average the monolithic voltage difference, V avg0 To actually average the monolithic voltage, V avgt Is the standard average monolithic voltage.
Illustratively, the high frequency impedance difference calculation formula is as follows:
ΔR HFR ＝R HFRt -R HFR0
wherein DeltaR HFR R is the high-frequency impedance difference HFRt R is standard high-frequency impedance HFR0 Is the actual high frequency impedance.
Exemplary, the monomer voltage range calculation formula is as follows:
ΔR＝R t -R 0
wherein DeltaR is the extreme difference of the voltage of the monomer, R t Is the standard single voltage range, R 0 Is the actual monomer voltage is extremely poor.
Exemplary, the monomer voltage standard deviation is calculated as follows:
Δσ＝σ t -σ 0
wherein Δσ is the standard deviation of the monomer voltage, σ t Standard single voltage standard deviation sigma 0 Is the standard deviation of the actual monomer voltage.
Optionally, the determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition includes:
determining the failure level of the fuel cell to be detected as light film dryness under the condition that the average single-chip voltage difference of the fuel cell to be detected is not more than a first preset average single-chip voltage difference minimum threshold value and the single-chip voltage difference is more than a first preset single-chip voltage difference minimum threshold value and less than a first preset single-chip voltage difference maximum threshold value; or (b)
If the average single-chip voltage difference of the fuel cell to be detected is not greater than a first preset average single-chip voltage difference minimum threshold, or if the single-chip voltage difference of the fuel cell to be detected is not greater than a first preset single-chip voltage difference minimum threshold and less than a first preset single-chip voltage difference maximum threshold, if the single-chip voltage standard deviation of the fuel cell to be detected is greater than the first preset single-chip voltage standard deviation minimum threshold and less than the first preset single-chip voltage standard deviation maximum threshold, and the high-frequency impedance difference is greater than the first preset high-frequency impedance difference minimum threshold and less than the first preset high-frequency impedance difference maximum threshold, determining the fault level of the fuel cell to be detected as a light membrane dryness.
Specifically, a preset difference threshold corresponding to each fuel cell difference data is predefined, the preset difference threshold includes a preset highest difference threshold and a preset lowest difference threshold, and the fuel cell fault level is judged based on each fuel cell difference data, the preset highest difference threshold and the preset lowest difference threshold.
When a fuel cell suffers from a light dry-film failure, the average cell stack performance is not generally changed significantly, but the uniformity of the cell voltages is generally affected, and the minimum sheet voltage drop or the overall voltage uniformity is deteriorated, so that the high-frequency impedance is increased slightly compared with the reference state. Illustratively, the light film dry judgment logic is as follows:
ΔV avg ≤ΔV avgL1 &(ΔR L1 <ΔR<ΔR H1 ||Δσ L1 <Δσ<Δσ H1 )&ΔR HFRL1
<ΔR HFR <ΔR HFRH1
wherein DeltaV avg Is averaged toVoltage difference of single chip, deltaV avgL1 A minimum threshold value for a first preset average monolithic voltage difference; ΔR is the voltage range of the monomer, ΔR L1 For the lowest threshold value of the first preset single voltage range, deltaR H1 The highest threshold value of the voltage difference of the first preset monomer is set; Δσ is the standard deviation of the monomer voltage, Δσ L1 For the first preset cell voltage standard deviation minimum threshold value, delta sigma H1 A first preset single voltage standard deviation highest threshold; deltaR HFR For high frequency impedance differences DeltaR HFRL1 A first preset high-frequency impedance difference minimum threshold value delta R HFRH1 The highest threshold value of the high-frequency impedance difference is preset for the first.
Optionally, the determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition includes: when the average single-chip voltage difference of the to-be-detected battery is larger than a second preset average single-chip voltage difference minimum threshold value, and the single voltage range is larger than the second preset single-chip voltage range minimum threshold value and smaller than a second preset single-chip voltage range maximum threshold value, determining the failure grade of the to-be-detected fuel battery as a medium-grade membrane dry; if the average single-chip voltage difference of the to-be-detected fuel cell is not more than a second preset average single-chip voltage difference minimum threshold value or the single-chip voltage difference is more than a second preset single-chip voltage difference minimum threshold value and less than a second preset single-chip voltage difference maximum threshold value, if the to-be-detected fuel cell meets the condition that the single-chip voltage standard difference is more than the second preset single-chip voltage standard difference minimum threshold value and less than the second preset single-chip voltage standard difference maximum threshold value, and the high-frequency impedance difference is more than the second preset high-frequency impedance difference minimum threshold value and less than the second preset high-frequency impedance difference maximum threshold value, determining the fault grade of the to-be-detected fuel cell as medium-grade membrane dryness.
Specifically, after the fuel cell has a moderate membrane dry fault, the average performance of the stack begins to decline slightly, the uniformity of the cell voltage declines slightly, the lowest voltage drop or the uniformity of the overall voltage is poor, and the high-frequency impedance increases slightly compared with the reference state.
Illustratively, the judgment logic for the moderate film dryness is as follows:
ΔV avg >ΔV avgL2 &(ΔR L2 <ΔR<ΔR H2 ||Δσ L2 <Δσ<Δσ H2 )&ΔR HFRL
<ΔR HFR <ΔR HFRH2
wherein DeltaV avg To average the monolithic voltage difference DeltaV avgL2 A second preset average monolithic voltage difference minimum threshold; ΔR is the voltage range of the monomer, ΔR L2 Is the lowest threshold value of the second preset monomer voltage range, delta R H2 The highest threshold value of the voltage difference of the second preset monomer is set; Δσ is the standard deviation of the monomer voltage, Δσ L2 For the second preset single voltage standard deviation minimum threshold value delta sigma H2 A second preset single voltage standard deviation highest threshold; deltaR HFR For high frequency impedance differences DeltaR HFRL2 A second preset high-frequency impedance difference minimum threshold value DeltaR HFRH2 The highest threshold value of the high-frequency impedance difference is preset for the second.
Optionally, the determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition includes: when the average single-chip voltage difference is larger than a third preset average single-chip voltage difference highest threshold value and the single-chip voltage range is larger than a third preset single-chip voltage range highest threshold value, determining the fault level of the fuel cell to be detected as severe film dryness; if the average single-chip voltage difference of the fuel cell to be detected is not more than a third preset average single-chip voltage difference highest threshold value or the single-chip voltage difference is more than a third preset single-chip voltage difference highest threshold value, if the single-chip voltage standard deviation is more than the third preset single-chip voltage standard deviation highest threshold value and the high-frequency impedance difference is more than the third preset high-frequency impedance difference highest threshold value, determining the fault grade of the fuel cell to be detected as severe film dryness.
Specifically, when a severe membrane dry fault occurs in the fuel cell, the average performance of the electric pile starts to be greatly reduced, the consistency degradation of the single voltage is obvious, the lowest single-chip drop or the consistency of the whole voltage is poor, and the high-frequency impedance is greatly increased compared with the reference state.
Exemplarily, the judgment logic of severe film dryness is as follows:
ΔV avg >ΔV avgL3 &(ΔR>ΔR H3 |}Δσ>Δσ H3 )&ΔR HFR >ΔR HFRH3
wherein DeltaV avg To average the monolithic voltage difference DeltaV avgL3 A third preset average monolithic voltage difference minimum threshold; ΔR is the voltage range of the monomer, ΔR H3 The highest threshold value of the voltage difference of the third preset monomer is set; Δσ is the standard deviation of the monomer voltage, Δσ H3 The standard deviation highest threshold value of the third preset single voltage is set; deltaR HFR For high frequency impedance differences DeltaR HFRH3 The highest threshold value of the high-frequency impedance difference is preset for the third.
S130, determining a fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault judging condition, wherein the fault state comprises a fault level of no fault and a fault level of the fault.
Wherein the failure rating comprises at least one of light film dry, medium film dry, and heavy film dry. The preset difference threshold and the control parameter after the battery is aged can be calculated through the performance decay amplitude of the electric pile, and the preset fault judgment condition is generated based on the preset difference threshold and the control parameter. Or preset failure determination conditions are preset based on experience, which is not limited in this embodiment.
Specifically, based on the fuel cell difference data and a preset fault determination condition, determining whether the fuel cell has a fault, and if so, determining a fault level corresponding to the fuel cell difference data. If not, acquiring actual attribute data corresponding to the related parameters of the fuel cell according to a preset parameter acquisition period, and carrying out next round of fault determination. The preset parameter acquiring period may be preset according to experience, which is not limited in this embodiment.
Optionally, after the determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition, the method further includes:
and determining a fault relief strategy corresponding to the fuel cell to be detected according to the fault grade of the fuel cell to be detected, wherein the fault relief strategy comprises at least one of adjustment of cooling water inlet temperature, adjustment of hydrogen discharge frequency and adjustment of air metering ratio.
According to the technical scheme, the fuel cell related parameters corresponding to the fuel cell to be detected are obtained, wherein the fuel cell related parameters comprise at least one of high-frequency impedance, average monolithic voltage, single voltage range and single voltage standard deviation; and accurately establishing the corresponding relation between the fuel cell to be detected and the related parameters of the fuel cell. Then, determining fuel cell difference data according to standard attribute data corresponding to the fuel cell associated parameters and the actual attribute data; accurately determining difference data between actual attribute data in the fuel cell associated parameters and standard attribute data; and finally, determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault judgment condition, wherein the fault state comprises a fault level of no fault and a fault level of the fault. The problem of low accuracy of determining the faults of the fuel cell is solved, and the beneficial effect of improving the accuracy of determining the faults of the fuel cell is achieved.
Example two
Fig. 2a is a flowchart of a fault determining method for a fuel cell according to a second embodiment of the present invention, where the present embodiment is further optimized for how to determine the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition in the above embodiment. Optionally, after the determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition, the method further includes: and determining a fault relief strategy corresponding to the fuel cell to be detected according to the fault grade of the fuel cell to be detected, wherein the fault relief strategy comprises at least one of adjustment of cooling water inlet temperature, adjustment of hydrogen discharge frequency and adjustment of air metering ratio.
As shown in fig. 2a, the method comprises:
s210, acquiring a fuel cell related parameter corresponding to the fuel cell to be detected, wherein the fuel cell related parameter comprises at least one of high-frequency impedance, average single-chip voltage, single-chip voltage range and single-chip voltage standard deviation.
S220, determining fuel cell difference data according to the standard attribute data corresponding to the fuel cell associated parameters and the actual attribute data.
And S230, determining a fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault judging condition, wherein the fault state comprises a fault level of no fault and a fault level of the fault.
S240, determining a fault relief strategy corresponding to the fuel cell to be detected according to the fault grade of the fuel cell to be detected, wherein the fault relief strategy comprises at least one of adjustment of cooling water in-pile temperature, adjustment of hydrogen discharge frequency and adjustment of air metering ratio.
Specifically, determining a fault relief strategy corresponding to the fuel cell to be detected according to whether the fault grade of the fuel cell to be detected is light film dry, medium film dry or heavy film dry. For example, if the failure level of the fuel cell to be detected is light film dryness, the cooling water inlet temperature may be reduced to a first preset cooling water inlet temperature, the hydrogen discharge frequency may be increased to a first preset hydrogen discharge frequency, and the air metering ratio may be reduced to a first preset air metering ratio. If the failure grade of the fuel cell to be detected is the moderate membrane dryness, the cooling water inlet temperature is reduced to a second preset cooling water inlet temperature, the hydrogen discharging frequency is increased to a second preset hydrogen discharging frequency, and the air metering ratio is reduced to a second preset air metering ratio. If the failure level of the fuel cell to be detected is severe film dryness, immediately executing a shutdown step, and enabling the electric pile to run at high power after restarting so as to ensure sufficient humidification, so that the performance of the electric pile is recovered and then the electric pile works. The second preset cooling water stacking temperature is lower than the first preset cooling water stacking temperature; the second preset hydrogen discharge frequency is larger than the first preset hydrogen discharge frequency; the second preset air metering ratio is lower than the first preset air metering ratio; the preset hydrogen discharge frequency, the preset cooling water in-stack temperature, and the preset air metering ratio may be empirically predetermined, and the present embodiment is not limited thereto.
It is worth to say that, the aging of the pile performance has two effects on fault diagnosis due to irreversible aging after long-time operation of the pile: 1. the diagnosis threshold value needs to be reset according to the actual performance after the occurrence of larger attenuation; 2. since the voltage decreases at the same current as the stack ages, the heat generated by the stack increases and the control of its thermal management system needs to be adjusted according to the actual stack aging when the mitigation strategy is performed.
According to the technical scheme provided by the embodiment of the invention, the current faults of the battery are relieved by determining the fault level of the fuel battery to be detected, and selecting the corresponding fault link strategy based on different fault levels of the fuel battery to be detected, so that the damage of the faults of the fuel battery to the electric pile is effectively relieved.
Fig. 2b provides a flow diagram of an alternative example of a fault determination method for a fuel cell. As shown in fig. 2b, the fault determining method of the fuel cell specifically includes the following steps:
step 1, acquiring fuel cell related parameters of a fuel cell, including high-frequency impedance, lowest monolithic voltage, average monolithic voltage, maximum monolithic voltage, cell voltage range and cell voltage standard deviation, wherein the cell voltage range can be calculated by the following formula:
R＝V max -V min
Wherein R is the extreme difference of the voltage of the monomer, V max At maximum monomer voltage, V min Is the minimum monolithic voltage.
Specifically, the standard deviation of the cell voltage is determined based on the cell voltage number, the battery voltage and the standard average monolithic voltage, and the calculation formula of the standard deviation of the cell voltage is as follows:
wherein S is the standard deviation of the voltage of the monomer, V i Voltage of single cell, V avg For average monolithic voltage, n is the number of monolithic voltages.
And 2, determining fuel cell difference data based on the difference between the standard attribute data and the actual attribute data corresponding to the standard attribute data.
The average voltage difference is calculated as follows:
ΔV avg ＝V avg0 -V avgt
wherein DeltaV avg To average the monolithic voltage difference, V avg0 To actually average the monolithic voltage, V avgt Is the standard average monolithic voltage.
Illustratively, the high frequency impedance difference calculation formula is as follows:
ΔR HFR ＝R HFRt -R HFR0
wherein DeltaR HFR R is the high-frequency impedance difference HFRt R is standard high-frequency impedance Hfr0 Is the actual high frequency impedance.
Exemplary, the monomer voltage range calculation formula is as follows:
ΔR＝R t -R 0
wherein DeltaR is the extreme difference of the voltage of the monomer, R t Is the standard single voltage range, R 0 Is the actual monomer voltage is extremely poor.
Exemplary, the monomer voltage standard deviation is calculated as follows:
Δσ＝σ t -σ 0
Wherein Δσ is the standard deviation of the monomer voltage, σ t Standard single voltage standard deviation sigma 0 Is the standard deviation of the actual monomer voltage.
Step 3, determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition, wherein the fault state comprises a fault level of no fault and a fault
(1) Light film drying: when a fuel cell suffers from a light dry-film failure, the average cell stack performance is not generally changed significantly, but the uniformity of the cell voltages is generally affected, and the minimum sheet voltage drop or the overall voltage uniformity is deteriorated, so that the high-frequency impedance is increased slightly compared with the reference state. Illustratively, the light film dry judgment logic is as follows:
ΔV avg ≤ΔV avgL1 &(ΔR L1 <ΔR<ΔR H1 ||Δσ L1 <Δσ<Δσ H1 )&ΔR HFRL
<ΔR HFR <ΔR HFRH1
wherein DeltaV avg To average the monolithic voltage difference DeltaV avgL1 A minimum threshold value for a first preset average monolithic voltage difference; ΔR is the voltage range of the monomer, ΔR L1 For the lowest threshold value of the first preset single voltage range, deltaR H1 The highest threshold value of the voltage difference of the first preset monomer is set; Δσ is the standard deviation of the monomer voltage, Δσ L1 For the first preset cell voltage standard deviation minimum threshold value, delta sigma H1 A first preset single voltage standard deviation highest threshold; deltaR HFR For high frequency impedance differences DeltaR HFRL1 A first preset high-frequency impedance difference minimum threshold value delta R HFRH1 The highest threshold value of the high-frequency impedance difference is preset for the first.
(2) And (3) medium film drying: when the fuel cell has a moderate membrane dry fault, the average performance of the electric pile starts to decline slightly, the consistency of the single voltage declines slightly, the lowest voltage decline or the consistency of the whole voltage worsens, and the high-frequency impedance increases slightly compared with the reference state.
Illustratively, the judgment logic for the moderate film dryness is as follows:
ΔV avg >ΔV avgL2 &(ΔR L2 <ΔR<ΔR H2 ||Δσ L2 <Δσ<Δσ H2 )&ΔR HFRL
<ΔR HFR <ΔR HFRH2
wherein DeltaV avg To average the monolithic voltage difference DeltaV avgL2 A second preset average monolithic voltage difference minimum threshold; ΔR is the voltage range of the monomer, ΔR L2 Is the lowest threshold value of the second preset monomer voltage range, delta R H2 The highest threshold value of the voltage difference of the second preset monomer is set; Δσ is the monomer voltageStandard deviation delta sigma L2 For the second preset single voltage standard deviation minimum threshold value delta sigma H2 A second preset single voltage standard deviation highest threshold; deltaR HFR For high frequency impedance differences DeltaR HFRL2 A second preset high-frequency impedance difference minimum threshold value DeltaR HFRH2 The highest threshold value of the high-frequency impedance difference is preset for the second.
(3) Heavy film drying: the severe membrane dryness can be understood as severe membrane dryness, when the fuel cell has severe membrane dryness fault, the average performance of the galvanic pile starts to be greatly reduced, the consistency degradation of the single voltage is obvious, the lowest single-chip drop or the consistency of the whole voltage is poor, and the high-frequency impedance is greatly increased compared with the reference state.
Exemplarily, the judgment logic of severe film dryness is as follows:
ΔV avg >ΔV avgL3 &(ΔR>ΔR H3 ||Δσ>Δσ H3 )&ΔR HFR >ΔR HFRH3
wherein DeltaV avg To average the monolithic voltage difference DeltaV avgL3 A third preset average monolithic voltage difference minimum threshold; ΔR is the voltage range of the monomer, ΔR H3 The highest threshold value of the voltage difference of the third preset monomer is set; Δσ is the standard deviation of the monomer voltage, Δσ H3 The standard deviation highest threshold value of the third preset single voltage is set; deltaR HFR For high frequency impedance differences DeltaR HFRH3 The highest threshold value of the high-frequency impedance difference is preset for the third.
Step 4, determining a fault relief strategy corresponding to the fuel cell to be detected according to the fault level of the fuel cell to be detected
(1) Light film drying: and reducing the cooling water inlet temperature to a first preset cooling water inlet temperature, increasing the hydrogen discharging frequency to a first preset hydrogen discharging frequency, and reducing the air metering ratio to a first preset air metering ratio.
(2) And (3) medium film drying: and (3) regulating the cooling water inlet temperature to a second preset cooling water inlet temperature, regulating the hydrogen discharging frequency to a second preset hydrogen discharging frequency, and regulating the air metering ratio to a second preset air metering ratio.
(3) Heavy film drying: immediately executing the shutdown step, restarting, and then enabling the electric pile to run at high power to ensure sufficient humidification, so that the performance of the electric pile is recovered and then working.
In particular, the pile can be irreversibly aged after long-time operation, and the aging of the pile performance has two effects on fault diagnosis: 1. the diagnosis threshold value needs to be reset according to the actual performance after the occurrence of larger attenuation; 2. since the voltage decreases at the same current as the stack ages, the heat generated by the stack increases and the control of its thermal management system needs to be adjusted according to the actual stack aging when the mitigation strategy is performed.
According to the technical scheme provided by the embodiment of the invention, the dry fault state of the fuel cell is determined based on the standard attribute data and the actual attribute data of the fuel cell related parameters by acquiring the fuel cell related parameters of the fuel cell, so that the dry fault state of the fuel cell can be diagnosed in real time for online correction, the accuracy of determining the fault of the fuel cell is improved, and meanwhile, the damage of the fault of the fuel cell to a galvanic pile is effectively relieved.
Example III
Fig. 3 is a schematic structural diagram of a fault determining apparatus for a fuel cell according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: a parameter acquisition module 310, a discrepancy data determination module 320, and a fault status determination module 330.
The parameter obtaining module 310 is configured to obtain a fuel cell related parameter corresponding to a fuel cell to be detected, where the fuel cell related parameter includes at least one of a high frequency impedance, an average monolithic voltage, a single voltage range, and a single voltage standard deviation; a difference data determining module 320, configured to determine fuel cell difference data according to the standard attribute data and the actual attribute data corresponding to the fuel cell correlation parameter; a fault state determining module 330, configured to determine a fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition, where the fault state includes a fault level where no fault occurs and where a fault occurs.
According to the technical scheme, the parameter acquisition module is used for acquiring the fuel cell related parameters corresponding to the fuel cell to be detected, wherein the fuel cell related parameters comprise at least one of high-frequency impedance, average monolithic voltage, single voltage range and single voltage standard deviation; and accurately establishing the corresponding relation between the fuel cell to be detected and the related parameters of the fuel cell. Then, determining fuel cell difference data according to standard attribute data corresponding to the fuel cell associated parameters and the actual attribute data by a difference data determining module; accurately determining difference data between actual attribute data in the fuel cell associated parameters and standard attribute data; and finally, determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault judgment condition through a fault state determining module, wherein the fault state comprises a fault level where no fault occurs and a fault occurs. The problem of low accuracy of determining the faults of the fuel cell is solved, and the beneficial effect of improving the accuracy of determining the faults of the fuel cell is achieved.
Optionally, the difference data determining module includes at least one of the following units:
An average voltage difference determining unit configured to determine an average voltage difference from a difference between a standard average monolithic voltage in the standard attribute data and an actual average monolithic voltage in the actual attribute data;
a high-frequency impedance difference determining unit configured to determine a high-frequency impedance difference from a difference between a standard high-frequency impedance of the standard attribute data and an actual high-frequency impedance in the actual attribute data;
a unit for determining the standard single voltage range in the standard attribute data and the actual single voltage range in the actual attribute data;
and the single voltage standard deviation determining unit is used for determining the single voltage standard deviation according to the difference between the standard single voltage standard deviation in the standard attribute data and the actual single voltage standard deviation in the actual attribute data.
Optionally, the fault state determining module includes:
a first light membrane dry determining unit, configured to determine the failure level of the fuel cell to be detected as light membrane dry when the average monolithic voltage difference of the fuel cell to be detected satisfies that the average monolithic voltage difference is not greater than a first preset average monolithic voltage difference minimum threshold, and the cell voltage range is greater than a first preset cell voltage range minimum threshold and less than a first preset cell voltage difference maximum threshold;
And the second light membrane dry determination unit is used for determining the fault level of the fuel cell to be detected as a light membrane dry if the fuel cell to be detected meets the condition that the average single-chip voltage difference is not larger than a first preset average single-chip voltage difference minimum threshold value or the single-chip voltage difference is not larger than a first preset single-chip voltage difference minimum threshold value and smaller than a first preset single-chip voltage difference maximum threshold value, and the high-frequency impedance difference is larger than a first preset high-frequency impedance difference minimum threshold value and smaller than a first preset high-frequency impedance difference maximum threshold value.
Optionally, the fault state determining module includes:
a first medium film dry determining unit, configured to determine, as a medium film dry, a failure level of the fuel cell to be detected when the average monolithic voltage difference of the to-be-detected cell satisfies that the average monolithic voltage difference is greater than a second preset average monolithic voltage difference highest threshold, and the cell voltage range is greater than a second preset cell voltage range lowest threshold and less than a second preset cell voltage range highest threshold;
And the second medium-grade membrane dry determination unit is used for determining the fault grade of the fuel cell to be detected as the medium-grade membrane dry if the cell to be detected meets the condition that the standard deviation of the single voltage is larger than the minimum threshold value of the standard deviation of the second preset single voltage and smaller than the maximum threshold value of the standard deviation of the second preset single voltage and the high-frequency impedance difference is larger than the minimum threshold value of the second preset high-frequency impedance difference and smaller than the maximum threshold value of the second preset high-frequency impedance difference if the average single voltage difference of the fuel cell to be detected is not larger than the maximum threshold value of the second preset single voltage or the single voltage is larger than the minimum threshold value of the second preset single voltage and smaller than the maximum threshold value of the second preset single voltage.
Optionally, the fault state determining module includes:
a first severe membrane dry determining unit, configured to determine, as severe membrane dry, a failure level of the fuel cell to be detected if the average monolithic voltage difference is greater than a third preset average monolithic voltage difference maximum threshold, and the monolithic voltage difference is greater than a third preset monolithic voltage difference maximum threshold;
And the second heavy film dryness determining unit is used for determining the fault grade of the fuel cell to be detected as heavy film dryness if the average single-chip voltage difference of the fuel cell to be detected is not more than a third preset average single-chip voltage difference highest threshold value or the single-chip voltage difference is more than a third preset single-chip voltage difference highest threshold value, and if the single-chip voltage standard deviation is more than the third preset single-chip voltage difference highest threshold value and the high-frequency impedance difference is more than the third preset high-frequency impedance difference highest threshold value.
Optionally, the device further includes a mitigation strategy determining module, configured to determine, according to a failure level of the fuel cell to be detected, a failure mitigation strategy corresponding to the fuel cell to be detected after the determining, based on the fuel cell difference data and a preset failure determination condition, a failure state of the fuel cell to be detected, where the failure mitigation strategy includes at least one of adjusting a cooling water in-stack temperature, adjusting a hydrogen discharge frequency, and adjusting an air metering ratio.
Optionally, the device further comprises a second parameter acquisition module, a single voltage range determination module and a single voltage standard deviation determination module.
Wherein the second parameter obtaining module is configured to obtain the fuel cell related parameter including a cell voltage; before the related parameters of the fuel cell corresponding to the fuel cell to be detected are obtained, obtaining the maximum single voltage, the minimum single voltage, the single voltage quantity and the cell voltage of the fuel cell to be detected;
the single voltage range determining module is used for determining single voltage range corresponding to the battery to be detected according to the difference value between the maximum single voltage and the minimum single voltage corresponding to the related parameter of the fuel cell;
the cell voltage standard deviation determination module is used for determining a cell voltage standard deviation based on the cell voltage quantity, the battery voltage and the standard average single-chip voltage.
The fault determining device for the fuel cell provided by the embodiment of the invention can execute the fault determining method for the fuel cell provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as fault determination of the method fuel cell.
In some embodiments, the fault determination of the method fuel cell may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above-described method of fault determination of the fuel cell may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the fault determination of the method fuel cell by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A fault determination method of a fuel cell, characterized by comprising:
acquiring fuel cell related parameters corresponding to a fuel cell to be detected, wherein the fuel cell related parameters comprise at least one of high-frequency impedance, average monolithic voltage, single voltage range and single voltage standard deviation;
determining fuel cell difference data according to standard attribute data corresponding to the fuel cell associated parameters and the actual attribute data;
And determining a fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition, wherein the fault state comprises a fault level of no fault and a fault.
2. The method of claim 1, wherein said determining fuel cell difference data from standard attribute data corresponding to said fuel cell associated parameters and said actual attribute data comprises at least one of:
determining an average voltage difference according to a difference between a standard average monolithic voltage in the standard attribute data and an actual average monolithic voltage in the actual attribute data;
determining a high-frequency impedance difference from a difference between a standard high-frequency impedance of the standard attribute data and an actual high-frequency impedance in the actual attribute data;
determining a single voltage range according to a difference between a standard single voltage range in the standard attribute data and an actual single voltage range in the actual attribute data;
and determining the standard deviation of the monomer voltage according to the difference between the standard deviation of the standard monomer voltage in the standard attribute data and the standard deviation of the actual monomer voltage in the actual attribute data.
3. The method according to claim 2, wherein the determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition includes:
determining the failure level of the fuel cell to be detected as light film dryness under the condition that the average single-chip voltage difference of the fuel cell to be detected is not more than a first preset average single-chip voltage difference minimum threshold value and the single-chip voltage difference is more than a first preset single-chip voltage difference minimum threshold value and less than a first preset single-chip voltage difference maximum threshold value;
if the average single-chip voltage difference of the fuel cell to be detected is not greater than a first preset average single-chip voltage difference minimum threshold, or if the single-chip voltage difference of the fuel cell to be detected is not greater than a first preset single-chip voltage difference minimum threshold and less than a first preset single-chip voltage difference maximum threshold, if the single-chip voltage standard deviation of the fuel cell to be detected is greater than the first preset single-chip voltage standard deviation minimum threshold and less than the first preset single-chip voltage standard deviation maximum threshold, and the high-frequency impedance difference is greater than the first preset high-frequency impedance difference minimum threshold and less than the first preset high-frequency impedance difference maximum threshold, determining the fault level of the fuel cell to be detected as a light membrane dryness.
4. The method according to claim 2, wherein the determining the fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition includes:
when the average single-chip voltage difference of the to-be-detected battery is larger than a second preset average single-chip voltage difference minimum threshold value, and the single voltage range is larger than the second preset single-chip voltage range minimum threshold value and smaller than a second preset single-chip voltage range maximum threshold value, determining the failure grade of the to-be-detected fuel battery as a medium-grade membrane dry;
if the average single-chip voltage difference of the to-be-detected fuel cell is not more than a second preset average single-chip voltage difference minimum threshold value or the single-chip voltage difference is more than a second preset single-chip voltage difference minimum threshold value and less than a second preset single-chip voltage difference maximum threshold value, if the to-be-detected fuel cell meets the condition that the single-chip voltage standard difference is more than the second preset single-chip voltage standard difference minimum threshold value and less than the second preset single-chip voltage standard difference maximum threshold value, and the high-frequency impedance difference is more than the second preset high-frequency impedance difference minimum threshold value and less than the second preset high-frequency impedance difference maximum threshold value, determining the fault grade of the to-be-detected fuel cell as medium-grade membrane dryness.
5. The method of claim 4, wherein the determining the fault condition of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition comprises:
when the average single-chip voltage difference is larger than a third preset average single-chip voltage difference highest threshold value and the single-chip voltage range is larger than a third preset single-chip voltage range highest threshold value, determining the fault level of the fuel cell to be detected as severe film dryness;
if the average single-chip voltage difference of the fuel cell to be detected is not more than a third preset average single-chip voltage difference highest threshold value or the single-chip voltage difference is more than a third preset single-chip voltage difference highest threshold value, if the single-chip voltage standard deviation is more than the third preset single-chip voltage standard deviation highest threshold value and the high-frequency impedance difference is more than the third preset high-frequency impedance difference highest threshold value, determining the fault grade of the fuel cell to be detected as severe film dryness.
6. The method according to claim 1, characterized by further comprising, after said determining a failure state of the fuel cell to be detected based on the fuel cell difference data and a preset failure determination condition:
And determining a fault relief strategy corresponding to the fuel cell to be detected according to the fault grade of the fuel cell to be detected, wherein the fault relief strategy comprises at least one of adjustment of cooling water inlet temperature, adjustment of hydrogen discharge frequency and adjustment of air metering ratio.
7. The method of claim 1, wherein the fuel cell-related parameter comprises a cell voltage; before the obtaining the fuel cell associated parameters corresponding to the fuel cell to be detected, the method further comprises:
obtaining the maximum single voltage, the minimum single voltage, the single voltage quantity and the battery voltage of the fuel battery to be detected;
determining that the cell voltage corresponding to the cell to be detected is extremely poor according to the difference value between the maximum cell voltage and the minimum cell voltage corresponding to the fuel cell related parameter;
and determining a cell voltage standard deviation based on the cell voltage number, the battery voltage, and the standard average cell voltage.
8. A failure determination device of a fuel cell, characterized by comprising:
a parameter obtaining unit, configured to obtain a fuel cell related parameter corresponding to a fuel cell to be detected, where the fuel cell related parameter includes at least one of a high frequency impedance, an average monolithic voltage, a single voltage range, and a single voltage standard deviation;
A difference data determining unit, configured to determine fuel cell difference data according to standard attribute data corresponding to the fuel cell correlation parameter and the actual attribute data;
and a fault state determining unit configured to determine a fault state of the fuel cell to be detected based on the fuel cell difference data and a preset fault determination condition, where the fault state includes a failure level at which no fault occurs and a failure occurs.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the fault determination method of the fuel cell of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to execute the method of determining a fault of a fuel cell according to any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311508789.7A CN117457947A (en) | 2023-11-13 | 2023-11-13 | Method, device, equipment and storage medium for determining faults of fuel cell |
Applications Claiming Priority (1)
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| CN202311508789.7A CN117457947A (en) | 2023-11-13 | 2023-11-13 | Method, device, equipment and storage medium for determining faults of fuel cell |
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