CN113540528B - Method and equipment for monitoring operating environment of fuel cell - Google Patents

Method and equipment for monitoring operating environment of fuel cell Download PDF

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CN113540528B
CN113540528B CN202110804161.6A CN202110804161A CN113540528B CN 113540528 B CN113540528 B CN 113540528B CN 202110804161 A CN202110804161 A CN 202110804161A CN 113540528 B CN113540528 B CN 113540528B
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CN113540528A (en
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姚乃元
马天才
张进滨
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Tongji University
Beijing Qunling Energy Resources Technology Co Ltd
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Beijing Qunling Energy Resources Technology Co Ltd
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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
    • H01M8/04992—Processes for controlling fuel cells or fuel cell systems characterised by the implementation of mathematical or computational algorithms, e.g. feedback control loops, fuzzy logic, neural networks or artificial intelligence
    • 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
    • H01M8/0432—Temperature; Ambient temperature
    • H01M8/04358—Temperature; Ambient temperature of the coolant
    • 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
    • H01M8/0432—Temperature; Ambient temperature
    • H01M8/04365—Temperature; Ambient temperature of other components of a fuel cell or fuel cell stacks
    • 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
    • H01M8/04492—Humidity; Ambient humidity; Water content
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
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    • 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
    • H01M8/04537—Electric variables
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Abstract

The invention provides a method and equipment for monitoring the operating environment of a fuel cell. Extracting the actual running time of each current functional block according to a GPS clock; obtaining a current environment monitoring control command, and extracting environment monitoring classification data according to the environment monitoring control command; extracting specific temperature and humidity signals for a fuel cell cooling system; extracting operating condition data for the fuel cell power system; setting a preset fault step length, and controlling all data state step lengths according to the preset fault step length index; a monitoring environment information table is generated based on the measurement data of the fuel cell. According to the scheme, the environmental parameters of the fuel cell are measured systematically, and an evaluation algorithm for the environmental abnormal state is combined, so that the health index of the external environment for the operation of the fuel cell is realized, and the service life of the fuel cell is prolonged.

Description

Method and equipment for monitoring operating environment of fuel cell
Technical Field
The invention relates to the technical field of fuel cells, in particular to a method and equipment for monitoring the operating environment of a fuel cell.
Background
The fuel cell is a high-efficiency, environment-friendly and high-power generation mode, and particularly has a very high application prospect in the aspect of zero-emission traffic power. Because of this, the applicable fields of fuel cells are wide, and there has been a great deal of technical research to realize the use of fuel cells in different types of environments under different types of technical fields, respectively.
However, in the prior art, much attention is paid to control of charge and discharge of the fuel cell, and there is no specific method for monitoring the operating environment of the fuel cell. The operating environment of the fuel cell is complex, and the performance of the fuel cell is greatly influenced under different operating environments. Therefore, research into an online monitoring environment of the fuel cell is urgently needed.
Disclosure of Invention
In view of the above problems, the present invention provides a method and an apparatus for monitoring an operating environment of a fuel cell, which perform a system measurement on an environmental parameter of the fuel cell, and combine with an evaluation algorithm for an environmental abnormal state to realize a health index for an operating external environment of the fuel cell, thereby improving a service life of the fuel cell.
According to a first aspect of the embodiments of the present invention, a method for monitoring an operating environment of a fuel cell is provided.
In one or more embodiments, preferably, the method for monitoring the operating environment of the fuel cell specifically includes:
extracting the actual running time of each current functional block according to a GPS clock;
obtaining a current environment monitoring control command, and extracting environment monitoring classification data according to the environment monitoring control command;
extracting specific temperature and humidity signals for a fuel cell cooling system;
extracting operating condition data for the fuel cell power system;
setting a preset fault step length index, and controlling all data state step lengths according to the preset fault step length index;
a monitoring environment information table is generated based on the measurement data of the fuel cell.
In one or more embodiments, preferably, the extracting, according to the GPS clock, the current actual operation time of each functional block specifically includes:
extracting a current clock signal and storing the current clock signal as system starting time;
extracting the current GPS clock time after acquiring sampling data each time;
and subtracting the system starting time from the GPS clock time to obtain the actual operation clock of each functional block.
In one or more embodiments, preferably, the obtaining a current environmental monitoring control command and extracting environmental monitoring classification data according to the environmental monitoring control command specifically include:
obtaining a current environment monitoring control command;
extracting a text command in the environment monitoring control command;
performing feature extraction on the word command to generate an environment monitoring classification;
and storing the environmental monitoring classification into temperature information, pressure information and humidity information according to the environmental monitoring classification.
In one or more embodiments, preferably, the extracting, for the fuel cell cooling system, a specific temperature and humidity signal specifically includes:
obtaining a current cooling system temperature;
obtaining a cooling valve pressure;
and obtaining a current cooling liquid leakage detection device signal.
In one or more embodiments, preferably, the extracting the operation state data for the fuel cell power supply system specifically includes:
obtaining a current power supply voltage;
obtaining the current maximum pressure difference of the fuel cell;
obtaining the fuel cell delivery power;
the fuel cell output electrode temperature is obtained.
In one or more embodiments, preferably, the setting of the preset fault step index, and controlling all data state step lengths according to the preset fault step index specifically include:
extracting the current preset fault step length index;
multiplying the preset fault step index by 20 to generate a state step of the detection data of the hydrogen supply system;
generating a state step length of the detection data of the fuel cell package according to the preset fault step length index multiplied by 1;
generating a state step length of air supply system detection data according to the preset fault step length index multiplied by 100;
and generating a cooling system detection data state step length according to the preset fault step length index multiplied by 100.
In one or more embodiments, preferably, the generating a monitoring environment information table according to the measurement data of the fuel cell specifically includes:
uploading all measurement data to the fuel cell online subsystem, wherein the measurement data comprises fuel cell package detection data, hydrogen gas supply system data, air supply system data and cooling system data;
performing on-line norm eigenvector normalization on the measurement data by using a first calculation formula;
acquiring the Lth environmental state word rate in the measurement data;
compressing the display range of the measured data by using a second calculation formula;
deleting all subsystem data deviations by using a third calculation formula;
obtaining an environmental health status of the fuel cell package test data using a fourth calculation formula;
obtaining the environmental health state of the hydrogen supply system data by using a fifth calculation formula;
obtaining an environmental health status of the air supply system data using a sixth calculation formula;
obtaining an environmental health status of the cooling system data using a seventh calculation formula;
the first calculation formula is:
Figure GDA0003828261090000041
wherein x is monitoring data, F t,d For the t-th measurement data, f, of the d-th measurement device data t,d The tth measurement data in the normalized d measurement device data;
the second calculation formula is:
g t,d ＝log(f t,d +1)
wherein, g t,d For the t-th of the logarithmized d-th measuring device dataMeasuring data;
the third calculation formula is:
Figure GDA0003828261090000042
wherein, G t,d T-th measurement data of d-th measurement device data deleted for data deviation, F w,d Is the w-th measurement data in the d-th measurement device data;
the fourth calculation formula is:
Figure GDA0003828261090000043
G t,d (n) t-th measurement data in d-th measurement device data from which data deviation is deleted in n-th sampling, G t,d (n-1) is the t-th measurement data in the d-th measurement device data from which the data deviation is deleted in the n-1-th sampling, and theta 1 Detecting data state fluctuation data for the fuel cell package, wherein A1 is a data state step length of the fuel cell package;
the fifth calculation formula is:
Figure GDA0003828261090000044
wherein, theta 2 Detecting data state fluctuation data for the hydrogen supply system, and A2 detecting data state step length for the hydrogen supply system;
the sixth calculation formula is:
Figure GDA0003828261090000051
wherein, theta 3 Data state fluctuation data is detected for the air supply system, and A3 data state step size is detected for the air supply system.
The seventh calculation formula is:
Figure GDA0003828261090000052
wherein, theta 4 Data state fluctuation data is detected for the cooling system, and A4 data state step size is detected for the cooling system.
According to a second aspect of the embodiments of the present invention, there is provided a fuel cell operating environment monitoring apparatus.
In one or more embodiments, preferably, the fuel cell operating environment monitoring apparatus specifically includes:
the GPS clock generation module is used for extracting the actual running time of each current functional block according to the GPS clock;
the environment monitoring control module is used for obtaining a current environment monitoring control command and extracting environment monitoring classification data according to the environment monitoring control command;
the cooling system monitoring submodule is used for extracting specific temperature and humidity signals for the fuel cell cooling system;
a power supply monitoring submodule for extracting operating state data for the fuel cell power supply system;
the fault step length index setting submodule is used for setting a preset fault step length index and controlling all data state step lengths according to the preset fault step length index;
and the monitoring environment information table generating module is used for generating a monitoring environment information table according to the measurement data of the fuel cell.
In one or more embodiments, preferably, the fuel cell operation environment monitoring apparatus further includes: and the digital filtering submodule is used for filtering data according to a preset time interval for the temperature and humidity signal and the pressure signal.
According to a third aspect of embodiments of the present invention, there is provided a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method according to any one of the first aspect of embodiments of the present invention.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
1) The embodiment of the invention provides a monitoring system for the operating environment of a fuel cell, which is divided into three parts, and completes the online monitoring of all key group components;
2) In the embodiment of the invention, a standardized environment information table is generated according to common environment information of the fuel cell, so that the running environment state of the fuel cell is monitored, and abnormal health state is discovered and isolated early.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a fuel cell operating environment monitoring method according to an embodiment of the present invention.
Fig. 2 is a flowchart for extracting the current actual operation time of each functional block according to the GPS clock in the fuel cell operation environment monitoring method according to an embodiment of the present invention.
Fig. 3 is a flow chart of obtaining a current environmental monitoring control command and extracting environmental monitoring classification data according to the environmental monitoring control command in a fuel cell operation environment monitoring method according to an embodiment of the invention.
Fig. 4 is a flowchart of extracting specific temperature and humidity signals for a fuel cell cooling system in a method for monitoring an operating environment of a fuel cell according to an embodiment of the present invention.
Fig. 5 is a flowchart of extracting operation state data for a fuel cell power supply system in a fuel cell operation environment monitoring method according to an embodiment of the present invention.
Fig. 6 is a flowchart for setting a preset fault step index and controlling all data state step sizes according to the preset fault step index in the method for monitoring the operating environment of the fuel cell according to an embodiment of the present invention.
Fig. 7 is a flowchart of generating a monitoring environment information table based on measurement data of a fuel cell in a fuel cell operating environment monitoring method according to an embodiment of the present invention.
Fig. 8 is a block diagram of a fuel cell operating environment monitoring system according to an embodiment of the present invention.
Detailed Description
In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, with the order of the operations being indicated as 101, 102, etc. merely to distinguish between the various operations, and the order of the operations by themselves does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit the types of "first" and "second".
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The fuel cell is a high-efficiency, environment-friendly and high-power generation mode, and particularly has a very high application prospect in the aspect of zero-emission traffic power. Because of this, the applicable fields of fuel cells are wide, and there has been a great deal of technical research to realize the use of fuel cells in different types of environments under different types of technical fields, respectively.
However, the conventional techniques have focused on how to control the charging and discharging of the fuel cell, and there is no specific method for monitoring the operating environment of the fuel cell. The operating environment of the fuel cell is complex, and the performance of the fuel cell is greatly influenced under different operating environments. Therefore, research into an online monitoring environment of the fuel cell is urgently needed.
The embodiment of the invention provides a method and equipment for monitoring the operating environment of a fuel cell. According to the scheme, the environmental parameters of the fuel cell are measured systematically, and an evaluation algorithm for the environmental abnormal state is combined, so that the health index of the external environment for the operation of the fuel cell is realized, and the service life of the fuel cell is prolonged.
In a first aspect of the embodiments of the present invention, a method for monitoring an operating environment of a fuel cell is provided.
Fig. 1 is a flowchart of a fuel cell operating environment monitoring method according to an embodiment of the present invention.
In one or more embodiments, as shown in fig. 1, preferably, the method for monitoring the operating environment of the fuel cell specifically includes:
s101, extracting the actual running time of each current functional block according to a GPS clock;
s102, obtaining a current environment monitoring control command, and extracting environment monitoring classification data according to the environment monitoring control command;
s103, extracting specific temperature and humidity signals for a fuel cell cooling system;
s104, extracting operation state data of the fuel cell power system;
s105, setting a preset fault step length index, and controlling all data state step lengths according to the preset fault step length index;
and S106, generating a monitoring environment information table according to the measurement data of the fuel cell.
In the embodiment of the invention, specific environmental monitoring of key components of three parts of fuel cells is respectively carried out. Respectively, monitoring of the cooling system, monitoring of the power supply system and monitoring of the air supply system. And the corresponding air supply system specifically includes the supply of air and the supply of hydrogen.
Fig. 2 is a flowchart for extracting the current actual operation time of each functional block according to the GPS clock in the fuel cell operation environment monitoring method according to an embodiment of the present invention.
As shown in fig. 2, in one or more embodiments, preferably, the extracting the current actual operation time of each functional block according to the GPS clock specifically includes:
s201, extracting a current clock signal and saving the current clock signal as system starting time;
s202, extracting the current GPS clock time after acquiring the sampling data each time;
and S203, subtracting the system starting time from the GPS clock time to obtain the actual operation clock of each functional block.
Fig. 3 is a flow chart of obtaining a current environmental monitoring control command and extracting environmental monitoring classification data according to the environmental monitoring control command in a fuel cell operation environment monitoring method according to an embodiment of the invention.
As shown in fig. 3, in one or more embodiments, preferably, the obtaining a current environmental monitoring control command and extracting environmental monitoring classification data according to the environmental monitoring control command specifically include:
s301, obtaining the current environment monitoring control command;
s302, extracting a text command in the environment monitoring control command;
s303, performing feature extraction on the character command to generate environment monitoring classification;
s304, storing the environmental monitoring classification into temperature information, pressure information and humidity information according to the environmental monitoring classification.
In the embodiment of the present invention, in order to extract specific environment information, first, clock information in an actual operating state is extracted for all modules. These clock signals are all derived using a uniform GPS clock time, so the clock derived on each module will produce uniform data across the modules.
Fig. 4 is a flowchart of extracting specific temperature and humidity signals for a fuel cell cooling system in a method for monitoring an operating environment of a fuel cell according to an embodiment of the present invention.
As shown in fig. 4, in one or more embodiments, preferably, the extracting the specific temperature and humidity signal for the fuel cell cooling system specifically includes:
s401, obtaining the temperature of the current cooling system;
s402, obtaining the pressure of a cooling valve;
and S403, obtaining a current cooling liquid leakage detection device signal.
In the embodiment of the invention, the problem of the current cooling system is obtained, and then the specific pressure of the cooling valve is respectively known, and whether the specific pressure of the cooling valve can provide enough pressure is confirmed.
Fig. 5 is a flowchart of extracting operation state data for a fuel cell power supply system in a fuel cell operation environment monitoring method according to an embodiment of the present invention.
As shown in fig. 5, in one or more embodiments, preferably, the extracting the operation state data for the fuel cell power system specifically includes:
s501, obtaining the current power supply voltage;
s502, obtaining the current maximum pressure difference of the fuel cell;
s503, obtaining the transmission power of the fuel cell;
and S504, acquiring the output electrode temperature of the fuel cell.
In the embodiment of the invention, the analysis of the power and energy delivered by the fuel cell is carried out according to the current power supply voltage and the current maximum voltage difference, and then the specific delivered power is combined with the temperature of the output electrode of the fuel cell to provide data for subsequent environmental evaluation.
Fig. 6 is a flowchart for setting a preset fault step index and controlling all data state step sizes according to the preset fault step index in the fuel cell operating environment monitoring method according to an embodiment of the present invention.
As shown in fig. 6, in one or more embodiments, preferably, the setting of the preset fault step index, and controlling all data state step sizes according to the preset fault step index specifically include:
s601, extracting the current preset fault step length index;
s602, generating a state step of detection data of a hydrogen supply system according to the preset fault step index multiplied by 20;
s603, generating a state step length of the detection data of the fuel cell package according to the preset fault step length index multiplied by 1;
s604, generating a state step length of air supply system detection data according to the preset fault step length index multiplied by 100;
and S605, generating a cooling system detection data state step length according to the preset fault step length index multiplied by 100.
In the embodiment of the invention, after the current fault step length is extracted, different coefficients are generated respectively, different types of data monitoring step lengths are generated, and because the same GPS clock is adopted under different step lengths, a clock sequence which can be matched with the different step lengths can be generated for evaluating the environment state.
Fig. 7 is a flowchart of generating a monitoring environment information table based on measurement data of a fuel cell in a fuel cell operating environment monitoring method according to an embodiment of the present invention.
As shown in fig. 7, in one or more embodiments, preferably, the generating a monitoring environment information table according to the measurement data of the fuel cell specifically includes:
s701, uploading all measurement data to an on-line subsystem of the fuel cell, wherein the measurement data comprises detection data of a fuel cell pack, data of a hydrogen supply system, data of an air supply system and data of a cooling system;
s702, performing on-line norm eigenvector normalization on the measurement data by using a first calculation formula;
s703, acquiring the L-th environmental state word rate in the measurement data;
s704, compressing the display range of the measured data by using a second calculation formula;
s705, deleting all subsystem data deviations by using a third calculation formula;
s706, obtaining the environmental health state of the fuel cell pack detection data by using a fourth calculation formula;
s707, acquiring the environmental health state of the hydrogen supply system data by using a fifth calculation formula;
s708, obtaining the environmental health state of the air supply system data by using a sixth calculation formula;
s709, obtaining the environmental health state of the cooling system data by using a seventh calculation formula;
the first calculation formula is:
Figure GDA0003828261090000111
wherein x is monitoring data, F t,d For the t-th measurement data, f, of the d-th measurement device data t,d The tth measurement data in the normalized d measurement device data;
the second calculation formula is:
g t,d ＝log(f t,d +1)
wherein, g t,d The measured data is the t-th measured data in the d-th measured device data after logarithmic conversion;
the third calculation formula is:
Figure GDA0003828261090000121
wherein, G t,d T-th measurement data of the d-th measurement device data deleted for data deviation, F w,d Is the w-th measurement data in the d-th measurement device data;
the fourth calculation formula is:
Figure GDA0003828261090000122
G t,d (n) t-th measurement data in d-th measurement device data from which data deviation is deleted in n-th sampling, G t,d (n-1) is the t-th measurement data in the d-th measurement device data in which the data deviation is deleted in the n-1-th sampling, theta 1 Detecting data state fluctuation data for the fuel cell package, wherein A1 is a data state step length of the fuel cell package;
the fifth calculation formula is:
Figure GDA0003828261090000123
wherein, theta 2 Detecting data state fluctuation data for the hydrogen supply system, and A2 detecting data state step length for the hydrogen supply system;
the sixth calculation formula is:
Figure GDA0003828261090000124
wherein, theta 3 Data state fluctuation data is detected for the air supply system, and A3 data state step size is detected for the air supply system.
The seventh calculation formula is:
Figure GDA0003828261090000131
wherein, theta 4 Data state fluctuation data is detected for the cooling system, and A4 data state step size is detected for the cooling system.
In the embodiment of the invention, through the analysis of the change rules of different types of system data, the finally generated different types of detection state fluctuation data are utilized, and further, the state monitoring of all the fluctuation data is realized.
In a second aspect of the embodiments of the present invention, a fuel cell operating environment monitoring apparatus is provided.
Fig. 8 is a block diagram of a fuel cell operating environment monitoring system according to an embodiment of the present invention.
In one or more embodiments, as shown in fig. 8, preferably, the fuel cell operating environment monitoring apparatus specifically includes:
a GPS clock generation module 801 configured to extract actual running time of each current functional block according to a GPS clock;
an environment monitoring control module 802, configured to obtain a current environment monitoring control command, and extract environment monitoring classification data according to the environment monitoring control command;
a cooling system monitoring submodule 803 for extracting specific temperature and humidity signals for the fuel cell cooling system;
a power supply monitoring submodule 804 for extracting operational status data for the fuel cell power system;
the fault step length index setting submodule 805 is used for setting a preset fault step length index and controlling all data state step lengths according to the preset fault step length index;
and a monitoring environment information table generating module 806 for generating a monitoring environment information table according to the measurement data of the fuel cell.
In one or more embodiments, preferably, the fuel cell operation environment monitoring apparatus further includes: the digital filtering sub-module 807 is configured to filter the temperature and humidity signals and the pressure signals according to a preset time interval.
According to a third aspect of embodiments of the present invention, there is provided a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method according to any one of the first aspect of embodiments of the present invention.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
1) The embodiment of the invention provides a monitoring system for the operating environment of a fuel cell, which is divided into three parts, and completes the online monitoring of all key group components;
2) In the embodiment of the invention, a standardized environment information table is generated according to common environment information of the fuel cell, so that the running environment state of the fuel cell is monitored, and abnormal health state is discovered and isolated early.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (9)

1. A fuel cell operating environment monitoring method, comprising:
extracting the actual running time of each current functional block according to a GPS clock;
obtaining a current environment monitoring control command, and extracting environment monitoring classification data according to the environment monitoring control command;
extracting specific temperature and humidity signals for a fuel cell cooling system;
extracting operating condition data for the fuel cell power system;
setting a preset fault step length index, and controlling all data state step lengths according to the preset fault step length index;
generating a monitoring environment information table according to the measurement data of the fuel cell;
the setting of the preset fault step length index and the control of all data state step lengths according to the preset fault step length index specifically include:
extracting the current preset fault step length index;
multiplying the preset fault step index by 20 to generate a state step of the detection data of the hydrogen supply system;
generating a fuel cell packet detection data state step length according to the preset fault step length index multiplied by 1;
generating a state step length of the detection data of the air supply system according to the preset fault step length index multiplied by 100;
and generating a cooling system detection data state step according to the preset fault step index multiplied by 100.
2. The method for monitoring the operating environment of the fuel cell according to claim 1, wherein the extracting the current actual operating time of each functional block according to the GPS clock specifically comprises:
extracting a current clock signal and saving the current clock signal as the starting time of the fuel cell power supply system;
extracting the current GPS clock time after acquiring sampling data each time;
the actual running time of each functional block is obtained by subtracting the starting time of the fuel cell power system from the GPS clock time.
3. The fuel cell operation environment monitoring method according to claim 1, wherein the obtaining of the current environment monitoring control command and the extracting of the environment monitoring classification data according to the environment monitoring control command specifically comprise:
obtaining the current environment monitoring control command;
extracting a text command in the environment monitoring control command;
performing feature extraction on the word command to generate an environment monitoring classification;
and storing the environmental monitoring classification as temperature information, pressure information and humidity information according to the environmental monitoring classification.
4. The method for monitoring the operating environment of the fuel cell according to claim 1, wherein the extracting the specific temperature and humidity signal for the cooling system of the fuel cell specifically comprises:
obtaining a current cooling system temperature;
obtaining a cooling valve pressure;
and obtaining a current coolant leakage detection device signal.
5. The fuel cell operating environment monitoring method according to claim 1, wherein the extracting of the operating state data for the fuel cell power supply system specifically includes:
obtaining a current power supply voltage;
obtaining the current maximum pressure difference of the fuel cell;
obtaining the fuel cell delivery power;
the fuel cell output electrode temperature is obtained.
6. The method for monitoring the operating environment of the fuel cell according to claim 1, wherein the generating of the monitoring environment information table according to the measurement data of the fuel cell specifically includes:
uploading all measurement data to the fuel cell online subsystem, wherein the measurement data comprises fuel cell package detection data, hydrogen gas supply system data, air supply system data and cooling system data;
performing on-line norm eigenvector normalization on the measurement data by using a first calculation formula;
acquiring the Lth environmental state word rate in the measurement data;
compressing the display range of the measured data by using a second calculation formula;
deleting all subsystem data deviations by using a third calculation formula;
obtaining an environmental health status of the fuel cell package test data using a fourth calculation formula;
obtaining the environmental health state of the hydrogen supply system data by using a fifth calculation formula;
obtaining an environmental health status of the air supply system data using a sixth calculation formula;
obtaining an environmental health status of the cooling system data using a seventh calculation formula;
the first calculation formula is:
Figure FDA0003828261080000031
wherein x is monitoring data, F t,d For the t-th measurement data, f, of the d-th measurement device data t,d The tth measurement data in the normalized d measurement device data;
the second calculation formula is:
g t,d ＝log(f t,d +1)
wherein, g t,d The measured data is the t-th measured data in the d-th measured device data after logarithmic conversion;
the third calculation formula is:
Figure FDA0003828261080000032
wherein G is t,d T-th measurement data of d-th measurement device data deleted for data deviation, F w,d Is the w-th measurement data in the d-th measurement device data;
the fourth calculation formula is:
Figure FDA0003828261080000033
G t,d (n) is the number of times in the nth sampleThe t-th measurement data, G, of the d-th measurement device data deleted by the deviation t,d (n-1) is the t-th measurement data in the d-th measurement device data from which the data deviation is deleted in the n-1-th sampling, and theta 1 Detecting data state fluctuation data for a fuel cell package, A 1 Detecting a data state step for the fuel cell package;
the fifth calculation formula is:
Figure FDA0003828261080000041
wherein, theta 2 Detection of data State fluctuation data for Hydrogen supply System, A 2 Detecting a data state step size for the hydrogen gas supply system;
the sixth calculation formula is:
Figure FDA0003828261080000042
wherein, theta 3 Detection of data State fluctuation data for an air supply System, A 3 Detecting a data state step size for the air supply system;
the seventh calculation formula is:
Figure FDA0003828261080000043
wherein, theta 4 Detection of data State fluctuation data for Cooling systems, A 4 Data state steps are detected for the cooling system.
7. A fuel cell operating environment monitoring apparatus, characterized by comprising:
the GPS clock generation module is used for extracting the actual running time of each current functional block according to the GPS clock;
the environment monitoring control module is used for obtaining a current environment monitoring control command and extracting environment monitoring classification data according to the environment monitoring control command;
the cooling system monitoring submodule is used for extracting specific temperature and humidity signals for the fuel cell cooling system;
a power supply monitoring submodule for extracting operating state data for the fuel cell power supply system;
the fault step length index setting submodule is used for setting a preset fault step length index and controlling all data state step lengths according to the preset fault step length index;
a monitoring environment information table generating module for generating a monitoring environment information table according to the measurement data of the fuel cell;
the method for setting the preset fault step length index and controlling all data state step lengths according to the preset fault step length index specifically comprises the following steps:
extracting the current preset fault step length index;
multiplying the preset fault step index by 20 to generate a state step of the detection data of the hydrogen supply system;
generating a fuel cell packet detection data state step length according to the preset fault step length index multiplied by 1;
generating a state step length of the detection data of the air supply system according to the preset fault step length index multiplied by 100;
and generating a cooling system detection data state step length according to the preset fault step length index multiplied by 100.
8. The fuel cell operating environment monitoring apparatus according to claim 7, further comprising: and the digital filtering submodule is used for filtering the temperature and humidity signals and the pressure signals according to a preset time interval.
9. A computer-readable storage medium on which computer program instructions are stored, which, when executed by a processor, implement the method of any one of claims 1-6.
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