CN116364980A - Fault diagnosis method, device, equipment and medium for fuel cell system - Google Patents
Fault diagnosis method, device, equipment and medium for fuel cell system Download PDFInfo
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- CN116364980A CN116364980A CN202310193214.4A CN202310193214A CN116364980A CN 116364980 A CN116364980 A CN 116364980A CN 202310193214 A CN202310193214 A CN 202310193214A CN 116364980 A CN116364980 A CN 116364980A
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- 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
- H01M8/04664—Failure or abnormal function
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/30—Hydrogen technology
- Y02E60/50—Fuel cells
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Abstract
The invention discloses a fault diagnosis method, device, equipment and medium of a fuel cell system. The fault diagnosis method comprises the steps of obtaining a field signal of the operation of the fuel cell system; and judging whether the fuel cell system has faults or not according to the parameter values of the field signals and the parameter value ranges of the corresponding theoretical signals. According to the invention, the parameter value of the on-site signal when the fuel cell system works is obtained, and is compared with the theoretical parameter value range of the theoretical signal corresponding to the parameter value range, and whether the fuel cell system has faults or not is judged according to the comparison result, so that whether the system has faults or not can be accurately judged in time; further, when the system is judged to have faults, the faults are classified and stored, and the frequency of the faults is counted, so that the fault problems can be analyzed conveniently.
Description
Technical Field
The invention belongs to the technical field of fuel cell systems, and particularly relates to a fault diagnosis method, device, equipment and medium of a fuel cell system.
Background
The failure of the fuel cell system can cause the system to fail to operate normally in the use process, and the failure data is lost because no relevant measures record the cause of failure and the type of failure when the fuel cell system fails, so that the follow-up analysis of the failure problem of the fuel cell system and the improvement of the follow-up fuel cell system can not be performed.
Disclosure of Invention
The invention aims to overcome the defect that in the prior art, a fuel cell system cannot accurately judge whether a fault exists in the system working process, and provides a fault diagnosis method, device, equipment and medium of the fuel cell system.
The invention solves the technical problems by the following technical scheme:
in a first aspect, the present invention provides a fault diagnosis method of a fuel cell system, the fault diagnosis method comprising:
acquiring a field signal of the operation of the fuel cell system;
and judging whether the fuel cell system has faults or not according to the parameter values of the field signals and the parameter value ranges of the corresponding theoretical signals.
Preferably, the fuel cell system includes a plurality of medium transfer circuits;
the step of acquiring a field signal of operation of the fuel cell system includes: acquiring the field signal of one of the medium transmission loops;
the step of judging whether the fuel cell system has a fault according to the parameter value of the field signal and the parameter value range of the corresponding theoretical signal comprises the following steps:
judging whether the parameter value of the field signal exceeds the parameter value range;
if yes, determining that the fuel cell system has faults;
if not, judging whether the fuel cell system has faults or not according to the parameter values of the field signals and the parameter values of the signals corresponding to other medium transmission loops.
Preferably, the step of determining whether the fuel cell system has a fault according to the parameter value of the field signal and the parameter value of the corresponding signal in the other medium transmission loop includes:
judging whether the parameter value of the field signal exceeds the parameter value of the corresponding signal in the other medium transmission loop;
if yes, determining that the fuel cell system has faults;
if not, the fuel cell system is determined to be operating normally.
Preferably, after determining that there is a fault in the fuel cell system, the fault diagnosis method further includes:
acquiring a signal type corresponding to the fault and a time point for generating the fault;
classifying and storing the faults according to the signal types;
and counting and storing the frequency of the faults based on the time points.
Preferably, the signal type includes at least one of a voltage signal, the sensor pressure signal, the sensor temperature signal, a sensor flow signal, and a sensor humidity signal.
Preferably, when the signal type includes the voltage signal, the corresponding parameter values are a voltage input value and a voltage output value; and/or when the signal type comprises the sensor pressure signal, the sensor temperature signal or the sensor humidity signal, the corresponding parameter value is a signal amplitude.
Preferably, when the signal type includes the sensor flow signal, the corresponding parameter value is a frequency value.
In a second aspect, the present invention provides a failure diagnosis apparatus of a fuel cell system, the failure diagnosis apparatus comprising:
the signal acquisition module is used for acquiring a field signal of the operation of the fuel cell system;
and the fault diagnosis module is used for judging whether the fuel cell system has faults or not according to the parameter values of the field signals and the parameter value ranges of the corresponding theoretical signals.
In a third aspect, the present invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory for running on the processor, which processor, when executing the computer program, implements the fault diagnosis method of the fuel cell system of the present invention.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the fault diagnosis method of the fuel cell system of the present invention.
On the basis of conforming to the common knowledge in the field, the above preferred conditions can be arbitrarily combined to obtain the preferred examples of the invention.
The invention has the positive progress effects that: according to the invention, the parameter value of the on-site signal when the fuel cell system works is obtained, and is compared with the theoretical parameter value range of the theoretical signal corresponding to the parameter value range, and whether the fuel cell system has faults or not is judged according to the comparison result, so that whether the system has faults or not can be accurately judged in time; further, when the system is judged to have faults, the faults are classified and stored, and the frequency of the faults is counted, so that the fault problems can be analyzed conveniently.
Drawings
Fig. 1 is a flow chart of a fault diagnosis method of a fuel cell system according to embodiment 1 of the present invention.
Fig. 2 is a schematic structural diagram of a failure diagnosis apparatus of a fuel cell system according to embodiment 2 of the present invention.
Fig. 3 is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention.
Detailed Description
The invention is further illustrated by means of the following examples, which are not intended to limit the scope of the invention.
Example 1
The present embodiment provides a failure diagnosis method of a fuel cell system, as shown in fig. 1, the failure diagnosis method including:
step S1, a field signal of the operation of the fuel cell system is obtained.
The field signals can be voltage signals, sensor pressure signals, sensor temperature signals, sensor flow signals, sensor humidity signals and the like, and can also be other signals; the present invention is not limited in detail and is merely illustrative.
And S2, judging whether the fuel cell system has faults or not according to the parameter values of the field signals and the parameter value ranges of the corresponding theoretical signals.
The parameter value range of the corresponding theoretical signal is a theoretical parameter value range which is input or calculated in advance.
As an alternative embodiment, the step of determining whether the fuel cell system has a fault according to the parameter value of the field signal and the parameter value range of the corresponding theoretical signal includes: judging whether the parameter value of the field signal exceeds the parameter value range; if yes, determining that the fuel cell system has faults; if not, the fuel cell system is determined to be operating normally. Specifically, after the fuel cell system works, monitoring the condition of the parameter values of all signals during the system work, if the parameter value of a certain signal is monitored to exceed the parameter value range of the corresponding theoretical signal, judging that the fuel cell system has faults at the moment, otherwise, judging that the fuel cell system works normally. According to the embodiment, the parameter value of the on-site signal when the fuel cell system works is compared with the theoretical parameter value range of the theoretical signal corresponding to the on-site signal, whether the fuel cell system has faults or not is judged according to the comparison result, and whether the system has faults or not is conveniently and accurately judged in time.
As an alternative embodiment, the fuel cell system includes a plurality of media transport loops, wherein the media transport loops may include an air transport loop, a hydrogen transport loop, or a water transport loop, as well as other media transport loops.
As an alternative embodiment, the fault diagnosis method may further obtain a field signal of one of the medium transmission loops of the fuel cell system, compare the parameter value of the field signal with the parameter value range of the corresponding theoretical signal, if the parameter value of the field signal does not exceed the parameter value range of the corresponding theoretical signal, further compare the parameter value of the field signal with the parameter values of the corresponding signals in other medium transmission loops, if the parameter value of the field signal exceeds the parameter values of the corresponding signals in other medium transmission loops, determine that the fuel cell system has a fault, otherwise, determine that the fuel cell system operates normally.
As an alternative embodiment, when the field signal is a voltage signal, the corresponding parameter values are a voltage input value and a voltage output value. Specifically, a parameter value of a voltage signal when the fuel cell system works is obtained, the obtained parameter value is compared with a parameter value range of a theoretical voltage signal, if the parameter value exceeds the parameter value range of the theoretical voltage signal, the fault of the fuel cell system at the moment is judged, and the voltage signal is the corresponding signal type of the fault generated by the system.
As an alternative embodiment, when the field signal is a sensor pressure signal, a sensor temperature signal or a sensor humidity signal, the corresponding parameter value is a signal amplitude. The sensor pressure signal can be the pressure of hydrogen in a galvanic pile, the pressure of air in the galvanic pile, the bottleneck pressure of a hydrogen source, the pressure of the front end of hydrogen injection or the like; the sensor temperature signal can be the temperature of the air outlet of the electric pile, the temperature of the cooling liquid inlet of the electric pile or the temperature of the cooling liquid outlet of the electric pile, etc.; the sensor humidity signal can be stack air humidity and the like; the foregoing is merely illustrative and is not specifically defined herein.
Specifically, taking a sensor pressure signal as an example, acquiring a parameter value of the sensor pressure signal when the fuel cell system works, comparing the acquired parameter value with a parameter value range of a theoretical sensor pressure signal, and if the parameter value exceeds the parameter value range of the theoretical sensor pressure signal, judging that the fuel cell system has a fault at the moment, wherein the sensor pressure signal is the corresponding signal type of the fault generated by the system. In the same manner, when the field signal is a sensor temperature signal or a sensor humidity signal, the description thereof will be omitted.
As an alternative embodiment, when the field signal is a sensor flow signal, the corresponding parameter value is a frequency value. The sensor flow signal may be a pile air flow signal, or may be other flow signals, which are not specifically limited herein. Specifically, a parameter value of a sensor flow signal when the fuel cell system works is obtained, the obtained parameter value is compared with a parameter value range of a theoretical sensor flow signal, if the parameter value exceeds the parameter value range of the theoretical sensor flow signal, the fuel cell system at the moment is judged to have a fault, and the sensor flow signal is the corresponding signal type of the fault generated by the system.
As an alternative embodiment, after determining that the fuel cell system has a fault, the fault diagnosis method further includes: acquiring a signal type corresponding to the fault and a time point for generating the fault; classifying and storing faults according to signal types; and counting and storing the frequency of the faults based on the time points. Specifically, according to the judging result, if the parameter value of a certain signal exceeds the parameter value range of the theoretical signal corresponding to the certain signal, judging that the fuel cell system has faults, wherein the signal type is the signal type corresponding to the faults, classifying the generated faults according to the obtained signal type, acquiring the time point of generating the faults, and counting and storing the frequency of generating the faults according to the time point. The embodiment is beneficial to further analyzing the cause of the fault by classifying and storing the signal types of the fault generated in the whole working period of the fuel cell system and counting the occurrence frequency of the fault.
The embodiment discloses a fault diagnosis method of a fuel cell system, which comprises the steps of comparing a parameter value of a field signal when the fuel cell system works with a theoretical parameter value range of a theoretical signal corresponding to the field signal, judging whether the fuel cell system has a fault according to a comparison result, and facilitating timely and accurate judgment of whether the system has the fault; further, when the system is judged to have faults, the faults are classified and stored, and the frequency of the faults is counted, so that the fault problems can be analyzed conveniently.
Example 2
The present embodiment provides a failure diagnosis apparatus of a fuel cell system, which includes a signal acquisition module 11 and a failure diagnosis module 12, as shown in fig. 2.
The signal acquisition module 11 is used for acquiring a field signal of the operation of the fuel cell system.
The field signals can be voltage signals, sensor pressure signals, sensor temperature signals, sensor flow signals, sensor humidity signals and the like, and can also be other signals; the present invention is not limited in detail and is merely illustrative.
The fault diagnosis module 12 is configured to determine whether a fault exists in the fuel cell system according to the parameter value of the field signal and the parameter value range of the corresponding theoretical signal.
The parameter value range of the corresponding theoretical signal is a theoretical parameter value range which is input or calculated in advance.
As an alternative embodiment, the step of determining whether the fuel cell system has a fault by the fault diagnosis module 12 according to the parameter value of the field signal and the parameter value range of the corresponding theoretical signal includes: judging whether the parameter value of the field signal exceeds the parameter value range; if yes, determining that the fuel cell system has faults; if not, the fuel cell system is determined to be operating normally. Specifically, after the fuel cell system works, the fault diagnosis module 12 monitors the parameter values of the signals during the system work, if the parameter value of a certain signal is monitored to exceed the parameter value range of the corresponding theoretical signal, the fault of the fuel cell system at the moment is judged, otherwise, the normal operation of the fuel cell system is judged. According to the embodiment, the parameter value of the field signal when the material battery system works is compared with the theoretical parameter value range of the theoretical signal corresponding to the parameter value, and whether the fuel battery system has faults or not is judged according to the comparison result, so that whether the system has faults or not can be accurately judged in time.
As an alternative embodiment, the fuel cell system includes a plurality of media transport loops, wherein the media transport loops may include an air transport loop, a hydrogen transport loop, or a water transport loop, as well as other media transport loops.
As an alternative embodiment, the signal obtaining module 11 may also obtain a field signal of one of the medium transmission circuits of the fuel cell system, where the fault diagnosis module 12 compares a parameter value of the field signal with a parameter value range of a corresponding theoretical signal, if the parameter value of the field signal does not exceed the parameter value range of the corresponding theoretical signal, further compares the parameter value of the field signal with a parameter value of a corresponding signal in another medium transmission circuit, if the parameter value of the field signal exceeds the parameter value of a corresponding signal in another medium transmission circuit, determines that the fuel cell system has a fault, and otherwise determines that the fuel cell system operates normally.
As an alternative embodiment, when the field signal is a voltage signal, the corresponding parameter values are a voltage input value and a voltage output value. Specifically, the signal acquisition module 11 acquires a parameter value of a voltage signal when the fuel cell system works, the fault diagnosis module 12 compares the acquired parameter value with a parameter value range of a theoretical voltage signal, and if the parameter value exceeds the parameter value range of the theoretical voltage signal, it is determined that the fuel cell system has a fault at the moment, and the voltage signal is a corresponding signal type of the fault generated by the system.
As an alternative embodiment, when the field signal is a sensor pressure signal, a sensor temperature signal or a sensor humidity signal, the corresponding parameter value is a signal amplitude. The sensor pressure signal can be the pressure of hydrogen in a galvanic pile, the pressure of air in the galvanic pile, the bottleneck pressure of a hydrogen source, the pressure of the front end of hydrogen injection or the like; the sensor temperature signal can be the temperature of the air outlet of the electric pile, the temperature of the cooling liquid inlet of the electric pile or the temperature of the cooling liquid outlet of the electric pile, etc.; the sensor humidity signal can be stack air humidity and the like; the foregoing is merely illustrative and is not specifically defined herein.
Specifically, taking the sensor pressure signal as an example, the signal acquisition module 11 acquires a parameter value of the sensor pressure signal when the fuel cell system works, the fault diagnosis module 12 compares the acquired parameter value with a parameter value range of the theoretical sensor pressure signal, and if the parameter value exceeds the parameter value range of the theoretical sensor pressure signal, it is determined that the fuel cell system at the moment has a fault, and the sensor pressure signal is the corresponding signal type of the fault generated by the system. In the same manner, when the field signal is a sensor temperature signal or a sensor humidity signal, the description thereof will be omitted.
As an alternative embodiment, when the field signal is a sensor flow signal, the corresponding parameter value is a frequency value. The sensor flow signal may be a pile air flow signal, or may be other flow signals, which are not specifically limited herein. Specifically, the signal acquisition module 11 acquires a parameter value of a sensor flow signal when the fuel cell system works, the fault diagnosis module 12 compares the acquired parameter value with a parameter value range of a theoretical sensor flow signal, and if the parameter value exceeds the parameter value range of the theoretical sensor flow signal, it is determined that the fuel cell system has a fault at the moment, and the sensor flow signal is a corresponding signal type of the fault generated by the system.
As an alternative embodiment, after determining that the fuel cell system has a fault, the fault diagnosis method further includes: acquiring a signal type corresponding to the fault and a time point for generating the fault; classifying and storing faults according to signal types; and counting and storing the frequency of the faults based on the time points. Specifically, according to the judging result, if the parameter value of a certain signal exceeds the parameter value range of the theoretical signal corresponding to the certain signal, judging that the fuel cell system has faults, wherein the signal type is the signal type corresponding to the faults, classifying the generated faults according to the obtained signal type, acquiring the time point of generating the faults, and counting and storing the frequency of generating the faults according to the time point. The embodiment is beneficial to further analyzing the cause of the fault by classifying and storing the signal types of the fault generated in the whole working period of the fuel cell system and counting the occurrence frequency of the fault.
The embodiment discloses a fault diagnosis device of a fuel cell system, which is realized based on the fault diagnosis method of the fuel cell system of the embodiment 1, wherein the fault diagnosis device compares a parameter value of a field signal when the fuel cell system works with a theoretical parameter value range of a theoretical signal corresponding to the field signal, judges whether the fuel cell system has a fault according to a comparison result, and is convenient for timely and accurately judging whether the system has the fault; further, when the system is judged to have faults, the faults are classified and stored, and the frequency of the faults is counted, so that the fault problems can be analyzed conveniently.
Example 3
The present embodiment provides an electronic device including a memory, a processor, and a computer program stored on the memory and for running on the processor, the processor implementing the fault diagnosis method of the fuel cell system of embodiment 1 described above when executing the program.
The electronic device 30 shown in fig. 3 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.
The electronic device 30 may be in the form of a general purpose computing device, which may be a server device, for example. Components of electronic device 30 may include, but are not limited to: the at least one processor 31, the at least one memory 32, a bus 33 connecting the different system components, including the memory 32 and the processor 31.
The bus 33 includes a data bus, an address bus, and a control bus.
The memory 32 may include volatile memory such as Random Access Memory (RAM) 321 and cache memory 322, and may further include Read Only Memory (ROM) 323.
The processor 31 executes various functional applications and data processing, such as a failure diagnosis method of the fuel cell system of embodiment 1 of the present invention, by running a computer program stored in the memory 32.
The electronic device 30 may also communicate with one or more external devices 34. Such communication may be through an input/output (I/O) interface 35. Also, model-generated device 30 may also communicate with one or more networks through network adapter 36. As shown in fig. 3, network adapter 36 communicates with the other modules of model-generating device 30 via bus 33. It should be appreciated that although not labeled in FIG. 3, other hardware and/or software modules may be used in connection with the model-generating device 30, including, but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, data backup storage systems, and the like.
It should be noted that although several units/modules or sub-units/modules of an electronic device are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more units/modules described above may be embodied in one unit/module in accordance with embodiments of the present invention. Conversely, the features and functions of one unit/module described above may be further divided into ones that are embodied by a plurality of units/modules.
Example 4
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the fault diagnosis method of the fuel cell system of embodiment 1 described above.
More specifically, among others, readable storage media may be employed including, but not limited to: portable disk, hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In an alternative embodiment, the present invention may also be implemented in the form of a program product comprising program code for causing a terminal device to execute the fault diagnosis method of implementing the fuel cell system of the above-described embodiment 1, when the program product is run on the terminal device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the principles and spirit of the invention, but such changes and modifications fall within the scope of the invention.
Claims (10)
1. A fault diagnosis method of a fuel cell system, characterized by comprising:
acquiring a field signal of the operation of the fuel cell system;
and judging whether the fuel cell system has faults or not according to the parameter values of the field signals and the parameter value ranges of the corresponding theoretical signals.
2. The fault diagnosis method of a fuel cell system according to claim 1, wherein the fuel cell system includes a plurality of medium transmission circuits;
the step of acquiring a field signal of operation of the fuel cell system includes: acquiring the field signal of one of the medium transmission loops;
the step of judging whether the fuel cell system has a fault according to the parameter value of the field signal and the parameter value range of the corresponding theoretical signal comprises the following steps:
judging whether the parameter value of the field signal exceeds the parameter value range;
if yes, determining that the fuel cell system has faults;
if not, judging whether the fuel cell system has faults or not according to the parameter values of the field signals and the parameter values of the signals corresponding to other medium transmission loops.
3. The fault diagnosis method of a fuel cell system according to claim 2, wherein the step of judging whether the fuel cell system has a fault based on the parameter value of the field signal and the parameter value of the corresponding signal in the other medium transmission circuit comprises:
judging whether the parameter value of the field signal exceeds the parameter value of the corresponding signal in the other medium transmission loop;
if yes, determining that the fuel cell system has faults;
if not, the fuel cell system is determined to be operating normally.
4. The fault diagnosis method of a fuel cell system according to claim 3, wherein after determining that there is a fault in the fuel cell system, the fault diagnosis method further comprises:
acquiring a signal type corresponding to the fault and a time point for generating the fault;
classifying and storing the faults according to the signal types;
and counting and storing the frequency of the faults based on the time points.
5. The fault diagnosis method of a fuel cell system according to claim 4, wherein the signal type includes at least one of a voltage signal, a sensor pressure signal, a sensor temperature signal, a sensor flow signal, and a sensor humidity signal.
6. The fault diagnosis method of a fuel cell system according to claim 5, wherein when the signal type includes the voltage signal, the corresponding parameter values are a voltage input value and a voltage output value; and/or the number of the groups of groups,
when the signal type includes the sensor pressure signal, the sensor temperature signal or the sensor humidity signal, the corresponding parameter value is a signal amplitude.
7. The fault diagnosis method of a fuel cell system according to claim 5, wherein when the signal type includes the sensor flow rate signal, the corresponding parameter value is a frequency value.
8. A fault diagnosis device of a fuel cell system, characterized by comprising:
the signal acquisition module is used for acquiring a field signal of the operation of the fuel cell system;
and the fault diagnosis module is used for judging whether the fuel cell system has faults or not according to the parameter values of the field signals and the parameter value ranges of the corresponding theoretical signals.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory for execution on the processor, wherein the processor implements the fault diagnosis method according to any one of claims 1-7 when executing the computer program.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the fault diagnosis method according to any one of claims 1-7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310193214.4A CN116364980A (en) | 2023-03-02 | 2023-03-02 | Fault diagnosis method, device, equipment and medium for fuel cell system |
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| CN202310193214.4A CN116364980A (en) | 2023-03-02 | 2023-03-02 | Fault diagnosis method, device, equipment and medium for fuel cell system |
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