CN116404205B - Digital twin-based fuel cell low-temperature operation control system and method - Google Patents
Digital twin-based fuel cell low-temperature operation control system and method Download PDFInfo
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- 239000000446 fuel Substances 0.000 title claims abstract description 174
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000001514 detection method Methods 0.000 claims abstract description 84
- 238000010926 purge Methods 0.000 claims abstract description 23
- 238000013507 mapping Methods 0.000 claims abstract description 10
- 238000004364 calculation method Methods 0.000 claims abstract description 4
- 238000013486 operation strategy Methods 0.000 claims description 49
- 239000004973 liquid crystal related substance Substances 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 8
- 238000012549 training Methods 0.000 claims description 7
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 6
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims description 4
- 239000001257 hydrogen Substances 0.000 claims description 4
- 229910052739 hydrogen Inorganic materials 0.000 claims description 4
- 229910052757 nitrogen Inorganic materials 0.000 claims description 3
- 238000013480 data collection Methods 0.000 abstract description 3
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 230000002035 prolonged effect Effects 0.000 abstract description 3
- 230000007613 environmental effect Effects 0.000 description 7
- 230000006872 improvement Effects 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 230000000694 effects Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008014 freezing Effects 0.000 description 1
- 238000007710 freezing Methods 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
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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
- H01M8/04305—Modeling, demonstration models of fuel cells, e.g. for training purposes
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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
- H01M8/043—Processes for controlling fuel cells or fuel cell systems applied during specific periods
- H01M8/04302—Processes for controlling fuel cells or fuel cell systems applied during specific periods applied during start-up
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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
- H01M8/0432—Temperature; Ambient temperature
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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
- H01M8/0438—Pressure; Ambient pressure; Flow
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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
- H01M8/04537—Electric variables
- H01M8/04604—Power, energy, capacity or load
- H01M8/04626—Power, energy, capacity or load of auxiliary devices, e.g. batteries, capacitors
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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
- H01M8/04537—Electric variables
- H01M8/04634—Other electric variables, e.g. resistance or impedance
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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
- 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
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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
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The application discloses a digital twin-based fuel cell low-temperature operation control system and a method, wherein the system comprises the following steps: the system comprises a fuel cell module, a data acquisition module, a digital twin model and a control module. According to the technical scheme, a virtual model which is in a mapping relation with the fuel cell module and can be linked is constructed through the digital twin model, detection parameters of the fuel cell module are collected through the data collection module, and working parameters of the fuel cell module are adjusted through the control module, so that unified monitoring and control of parts of the fuel cell on the terminal are realized; in addition, the temperature and the humidity of the environment where the fuel cell module is located are obtained through the sensor arranged on the fuel cell module, and the external environment factors are brought into the calculation range, so that a more accurate purging strategy can be provided in real time, the normal operation of the fuel cell is ensured, and the service life of the fuel cell is prolonged.
Description
Technical Field
The application relates to the technical field of fuel cells, in particular to a digital twin-based fuel cell low-temperature operation control system and method.
Background
The digital twin is to use information data such as physical model, operation history, sensor update and the like to the maximum extent, integrate simulation processes of multidisciplinary, multiscale, multiple probability and multiple physical quantities, and realize mapping of virtual space so as to reflect the whole life cycle process of corresponding entity equipment. In short, digital twinning is in fact the construction of a digital version of a thing, a dynamic "clone", and at present, industrial manufacturing and smart cities are the main areas of application for digital twinning technology.
In the low-temperature operation process of the fuel cell, the start-up process and the stop process of the fuel cell are greatly different from the normal temperature, and the start-up stage and the stop stage need to monitor the electric pile and each part on the fuel cell system in real time. However, as the related reference factors and control modes of the parts are more, the traditional control mode can not realize unified control on all the parts of the fuel cell, so that the startup and shutdown control effects of the fuel cell are poor;
in addition, the hydrogen fuel cell engine is purged after shutdown and when it is restarted, and by blowing out the internal residual water, the internal water is prevented from freezing in the flow passage or the gas diffusion layer at low temperature. The existing purging mode of the fuel cell engine only refers to factors inside the cell system, and does not consider factors of the external environment of the system, and in practical application, the external environment of the system can affect the purging effect, so that the purging is inaccurate, and then the power generation work of the fuel cell is affected.
Disclosure of Invention
The application aims to provide a digital twin-based fuel cell low-temperature operation control system and a digital twin-based fuel cell low-temperature operation control method, which aim to solve the problems that the existing fuel cell has more reference factors involved in starting and stopping and cannot uniformly control all parts of the fuel cell; and the technical problems that the purging operation of the fuel cell is inaccurate and the power generation operation of the fuel cell is affected due to the lack of sufficient reference factors of the fuel cell.
In order to achieve the above object, the present application provides a digital twin-based fuel cell low-temperature operation control system, comprising:
the system comprises a fuel cell module, a data acquisition module, a digital twin model and a control module;
the input end and the output end of the data acquisition module are respectively connected with the fuel cell module and the digital twin model, and are used for acquiring detection parameters of the fuel cell module and transmitting the detection parameters to the digital twin model;
the digital twin model is used for constructing a virtual model which forms a mapping relation with the fuel cell module and can be linked according to the geometric structure of the fuel cell module and the detection parameter, and the virtual model is displayed on a man-machine interaction terminal in a three-dimensional image;
the input end and the output end of the control module are respectively connected with the digital twin model and the fuel cell module, and are used for calculating an optimal control instruction according to the detection parameters and adjusting the working parameters of the fuel cell module according to the control instruction; and updating the digital twin model according to the detection parameters; wherein, the liquid crystal display device comprises a liquid crystal display device,
the control module is also used for giving preset weight values to different detection parameters and matching the operation strategy of the preset fuel cell module according to the weight values;
the digital twin model is also used for forming a predicted operation strategy according to the current detection parameter when the detection parameter which is not in the preset weight value range appears, and the control module adjusts the working parameter of the fuel cell module according to the operation strategy or the predicted operation strategy;
the system also comprises a plurality of sensors arranged on the fuel cell module, wherein the sensors are used for detecting the working condition of the fuel cell module and the temperature and humidity of the environment where the fuel cell module is positioned, and forming the detection parameters;
the working parameters include:
a low-temperature start mode of the fuel cell unit and the power cell unit;
air flow rate, air pressure, purge duration of the fuel cell unit purge.
As a further improvement of the application: the fuel cell module comprises a fuel cell unit and a power cell unit, and the detection parameters comprise:
the residual electric quantity of the power battery unit and the charge-discharge power rate;
high-frequency impedance value, waterway temperature, anode temperature, flow rate, pressure of the fuel cell unit, and adopted purging strategy and purging temperature of the fuel cell unit;
the operation time of the fuel cell unit and the power cell unit;
the last shutdown state and the shutdown time of the fuel cell unit and the power cell unit;
the working state of the hydrogen circulating pump, the water drainage and nitrogen discharge valve; wherein, the liquid crystal display device comprises a liquid crystal display device,
and the detection parameters of the fuel cell unit and the power cell unit are collected by adopting the sensor.
As a further improvement of the application: the system also comprises an external module, wherein the external module is connected with the data acquisition module and comprises a temperature sensor and a humidity sensor;
the external module further comprises a communication assembly and/or a positioning assembly;
the communication component is used for acquiring weather data through the Internet;
the positioning component is used for positioning the geographic position of the fuel cell module.
The application provides a fuel cell low-temperature operation control method based on digital twin, which comprises the following steps of:
detecting the working condition of the fuel cell module and the temperature and humidity of the environment where the fuel cell module is positioned to form detection parameters;
the data acquisition module acquires detection parameters of the fuel cell module and transmits the detection parameters to the digital twin model;
the digital twin model builds a virtual model which forms a mapping relation with the fuel cell module and can be linked according to the geometric structure and the detection parameters of the fuel cell module, and the virtual model is displayed on the man-machine interaction terminal in a three-dimensional image;
the control module calculates an optimal control instruction according to the detection parameter, and adjusts the working parameter of the fuel cell module according to the control instruction;
the control module updates the digital twin model according to the detection parameters.
As a further improvement of the application: the step of calculating the optimal control instruction by the control module according to the detection parameters comprises the following steps:
preset weight values are given to detection parameters with different types and different values;
comparing whether the currently acquired detection parameters meet preset assignment conditions or not, and if so, summing the weight values of the detection parameters meeting the preset assignment conditions to obtain a weight total value;
matching preset operation strategies of the fuel cell module for different weight total values;
and adjusting the working parameters of the fuel cell module according to the operation strategy.
As a further improvement of the application: the method also comprises the following steps:
the control module gathers the operation strategies of a plurality of preset fuel cell modules to form an operation strategy library;
the control module forms a training database with the stored detection parameters and the corresponding optimal control instructions, and transmits the training database to the digital twin model, so that the digital twin model is learned and repeatedly updated;
detecting parameters which are not in a preset weight value range appear when the machine is started currently, and the digital twin model forms a prediction operation strategy according to the current detecting parameters;
the control module adjusts the operating parameters of the fuel cell module according to the predicted operating strategy.
As a further improvement of the application: the method also comprises the following steps:
verifying a prediction operation strategy by using detection parameters at the next start-up;
the detection parameters at the next start-up meet preset stable conditions, and the predicted operation strategy is stored and transmitted to an operation strategy library.
As a further improvement of the application: the method also comprises the following steps:
and acquiring weather data through the Internet, and transmitting the weather data to the digital twin model and the control module.
As a further improvement of the application: the method also comprises the following steps:
acquiring the geographical position of the current fuel cell module, recording the temperature and humidity of the environment corresponding to the geographical position, and generating historical environment data;
the geographical position obtained next time is the same as the geographical position of the historical environment data, and when the communication assembly is started, the weather data cannot be obtained within the preset duration, and the temperature and the humidity of the environment corresponding to the historical environment data are called and transmitted to the digital twin model and the control module.
Compared with the prior art, the application has the following beneficial effects:
according to the technical scheme, a virtual model which is in a mapping relation with the fuel cell module and can be linked is constructed through the digital twin model, detection parameters of the fuel cell module are collected through the data collection module, and working parameters of the fuel cell module are adjusted through the control module, so that unified monitoring and control of parts of the fuel cell on the terminal are realized; in addition, the temperature and the humidity of the environment where the fuel cell module is located are obtained through the sensor arranged on the fuel cell module, and the external environment factors are brought into the calculation range, so that a more accurate purging strategy can be provided in real time, the normal operation of the fuel cell is ensured, and the service life of the fuel cell is prolonged.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of an embodiment of a digital twin-based fuel cell low-temperature operation control system according to the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that, if a directional indication (such as up, down, left, right, front, and rear … …) is involved in the embodiment of the present application, the directional indication is merely used to explain the relative positional relationship, movement condition, etc. between the components in a specific posture, and if the specific posture is changed, the directional indication is correspondingly changed.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, if "and/or" and/or "are used throughout, the meaning includes three parallel schemes, for example," a and/or B "including a scheme, or B scheme, or a scheme where a and B are satisfied simultaneously. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present application.
Referring to fig. 1, the present disclosure provides a digital twin-based fuel cell low-temperature operation control system, in a certain embodiment, the control system includes:
the system comprises a fuel cell module, a data acquisition module, a digital twin model and a control module;
the input end and the output end of the data acquisition module are respectively connected with the fuel cell module and the digital twin model, and are used for acquiring detection parameters of the fuel cell module and transmitting the detection parameters to the digital twin model;
the digital twin model is used for constructing a virtual model which forms a mapping relation with the fuel cell module and can be linked according to the geometric structure of the fuel cell module and the detection parameter, and the virtual model is displayed on a man-machine interaction terminal in a three-dimensional image;
the input end and the output end of the control module are respectively connected with the digital twin model and the fuel cell module, and are used for calculating an optimal control instruction according to the detection parameters and adjusting the working parameters of the fuel cell module according to the control instruction; and updating the digital twin model according to the detection parameters; wherein, the liquid crystal display device comprises a liquid crystal display device,
the control module is also used for giving preset weight values to different detection parameters and matching the operation strategy of the preset fuel cell module according to the weight values;
the digital twin model is also used for forming a predicted operation strategy according to the current detection parameter when the detection parameter which is not in the preset weight value range appears, and the control module adjusts the working parameter of the fuel cell module according to the operation strategy or the predicted operation strategy;
the system also comprises a plurality of sensors arranged on the fuel cell module, wherein the sensors are used for detecting the working condition of the fuel cell module and the temperature and humidity of the environment where the fuel cell module is positioned, and forming the detection parameters;
the working parameters include:
a low-temperature start mode of the fuel cell unit and the power cell unit;
air flow rate, air pressure, purge duration of the fuel cell unit purge.
According to the technical scheme, a virtual model which is in a mapping relation with the fuel cell module and can be linked is constructed through a digital twin model, detection parameters of the fuel cell module are collected through a data collection module, and working parameters of the fuel cell module are adjusted through a control module, so that unified monitoring and control of parts of the fuel cell on a terminal are realized; in addition, the temperature and the humidity of the environment where the fuel cell module is located are obtained through the sensor arranged on the fuel cell module, and the external environment factors are brought into the calculation range, so that a more accurate purging strategy can be provided in real time, the normal operation of the fuel cell is ensured, and the service life of the fuel cell is prolonged.
Further, the fuel cell module comprises a fuel cell unit and a power cell unit, and the detection parameters comprise:
the residual electric quantity of the power battery unit and the charge-discharge power rate;
high-frequency impedance value, waterway temperature, anode temperature, flow rate, pressure of the fuel cell unit, and adopted purging strategy and purging temperature of the fuel cell unit;
the operation time of the fuel cell unit and the power cell unit;
the last shutdown state and the shutdown time of the fuel cell unit and the power cell unit;
the working states of the components such as the hydrogen circulating pump, the water drainage nitrogen discharge valve and the like; wherein, the liquid crystal display device comprises a liquid crystal display device,
and the detection parameters of the fuel cell unit and the power cell unit are collected by adopting the sensor.
Further, the low-temperature operation control system also comprises an external module, wherein the external module is connected with the data acquisition module and comprises a temperature sensor and a humidity sensor;
the external module further comprises a communication assembly and/or a positioning assembly, wherein the communication assembly is used for acquiring weather data through networking of a built-in baseband chip when the fuel cell module is started, and the positioning assembly acquires the geographic position of the fuel cell module through a built-in GPS module.
The technical scheme provides a digital twin-based fuel cell low-temperature operation control system, and also provides a digital twin-based fuel cell low-temperature operation control method, which comprises the following steps:
s10: detecting the working condition of the fuel cell module and the temperature and humidity of the environment where the fuel cell module is positioned to form detection parameters;
s20: the data acquisition module acquires detection parameters of the fuel cell module and transmits the detection parameters to the digital twin model;
s30: the digital twin model builds a virtual model which forms a mapping relation with the fuel cell module and can be linked according to the geometric structure and the detection parameters of the fuel cell module, and the virtual model is displayed on the man-machine interaction terminal in a three-dimensional image;
s40: the control module calculates an optimal control instruction according to the detection parameter, and adjusts the working parameter of the fuel cell module according to the control instruction;
s50: the control module updates the digital twin model according to the detection parameters.
Further, the step of calculating the optimal control command by the control module according to the detection parameter includes:
s41: preset weight values are given to detection parameters with different types and different values;
s42: comparing whether the currently acquired detection parameters meet preset assignment conditions or not, and if so, summing the weight values of the detection parameters meeting the preset assignment conditions to obtain a weight total value;
s43: matching preset operation strategies of the fuel cell module for different weight total values;
s44: and adjusting the working parameters of the fuel cell module according to the operation strategy.
Specifically, in step S41, the reference value degrees of the detection parameters of different kinds and different values are different. The reference value of the environmental temperature of the fuel cell is higher than the reference value of the water path temperature, so that the weight value obtained by the fuel cell is higher when the environmental temperature of the most suitable fuel cell works relative to the most suitable water path temperature (for example, when the current environmental temperature is preset to be 25 ℃, the weight value is correspondingly obtained, and when the current water path temperature is preset to be 25 ℃, the weight value is correspondingly obtained, and the current environmental temperature is preset to be 5); secondly, the most suitable parameters are more weighted than other more suitable parameters (e.g. 7 weighted values can be obtained when the fuel cell is operated at an ambient temperature of 20 degrees, and 2 weighted values can be obtained when the fuel cell is operated at an ambient temperature of 10 degrees, which is unfavorable for the purging of the cell). The design of the optimal control instruction is calculated in this way, different reference values are given to different detection parameters, and the optimal operation strategy selection is facilitated.
In step S42, if the value of a certain detection parameter is within a preset range, for example, the current acquired environmental temperature is 25 degrees, a weight value of 10 is obtained, and when the environmental temperature is 35 degrees, no weight value is given; the current waterway temperature is 20 degrees, a weight value of 2 is correspondingly obtained, and the total weight value of the current waterway temperature and the current waterway temperature is 12.
In steps S43-S44, the control system matches a preset operation strategy of the fuel cell module according to the detection parameters of the current fuel cell, wherein the operation strategy comprises a plurality of control instructions, and each control instruction adjusts the working parameters of the corresponding fuel cell module, so that the low-temperature start-up modes of the fuel cell unit and the power cell unit are more accurate; the air flow, air pressure and purging duration of the fuel cell unit are more in line with the working condition requirements of the current fuel cell.
Further, the low-temperature operation control system further comprises the following steps:
s60: the control module gathers the operation strategies of a plurality of preset fuel cell modules to form an operation strategy library;
s70: the control module forms a training database with the stored detection parameters and the corresponding optimal control instructions, and transmits the training database to the digital twin model, so that the digital twin model is learned and repeatedly updated;
s80: detecting parameters which are not in a preset weight value range appear when the machine is started currently, and the digital twin model forms a prediction operation strategy according to the current detecting parameters;
s90: the control module adjusts the operating parameters of the fuel cell module according to the predicted operating strategy.
Specifically, because the operation strategy and the corresponding control instruction are input by human, when the types and the numerical values of the detection parameters reach a certain number, the production requirement of an automatic process is not facilitated by the human input mode, so that the technical scheme automatically predicts the operation strategy corresponding to the detection parameters which are not in the preset weight value range through digital twin model learning and repeated iteration updating, not only improves the automation degree of the control system, but also improves the operation efficiency of the control system and ensures the continuity of work.
Further, the low-temperature operation control system further comprises the following steps:
s100: verifying a prediction operation strategy by using detection parameters at the next start-up;
s110: the detection parameters at the next start-up meet preset stable conditions, and the predicted operation strategy is stored and transmitted to an operation strategy library.
Specifically, if the error between the detection parameter corresponding to the predicted operation strategy and the detection parameter at the next start-up is not more than 20%, the predicted operation strategy is determined to be stable, and the control module stores the predicted operation strategy into an operation strategy library and a training database.
Further, the low-temperature operation control system further comprises the following steps:
s120: and acquiring weather data through the Internet, and transmitting the weather data to the digital twin model and the control module. By the arrangement, the environmental temperature of a plurality of days in the future can be brought into the reference range in advance, and the accuracy of adjusting the working parameters of the fuel cell module is further improved.
Further, the low-temperature operation control system further comprises the following steps:
s130: acquiring the geographical position of the current fuel cell module, recording the temperature and humidity of the environment corresponding to the geographical position, and generating historical environment data;
s140: the geographical position obtained next time is the same as the geographical position of the historical environment data, and when the communication assembly is started, the weather data cannot be obtained within the preset duration, and the temperature and the humidity of the environment corresponding to the historical environment data are called and transmitted to the digital twin model and the control module.
Specifically, the temperature and humidity of the environment in steps S130-S140 are specifically the temperature and humidity of the environment in the future days, and the temperature and humidity of the environment in the future days cannot be obtained in advance through the sensor, but the trend of change of the temperature and humidity of the environment in the future days has a reference value for the purging strategy predicted by the fuel cell, so that in the starting process, the control system cannot obtain weather data within a preset time period (for example, within 5 seconds of starting), and the temperature and humidity of the environment corresponding to the historical environment data are called and transmitted to the digital twin model and the control module as detection parameters to be referred.
The foregoing description is only of the optional embodiments of the present application, and is not intended to limit the scope of the application, and all the equivalent structural changes made by the description of the present application and the accompanying drawings or the direct/indirect application in other related technical fields are included in the scope of the application.
Claims (7)
1. A digital twinning-based fuel cell low-temperature operation control system, comprising:
the system comprises a fuel cell module, a data acquisition module, a digital twin model and a control module;
the input end and the output end of the data acquisition module are respectively connected with the fuel cell module and the digital twin model, and are used for acquiring detection parameters of the fuel cell module and transmitting the detection parameters to the digital twin model;
the digital twin model is used for constructing a virtual model which forms a mapping relation with the fuel cell module and can be linked according to the geometric structure of the fuel cell module and the detection parameter, and the virtual model is displayed on a man-machine interaction terminal in a three-dimensional image;
the input end and the output end of the control module are respectively connected with the digital twin model and the fuel cell module, and are used for calculating an optimal control instruction according to the detection parameters and adjusting the working parameters of the fuel cell module according to the control instruction; and updating the digital twin model according to the detection parameters; wherein, the liquid crystal display device comprises a liquid crystal display device,
the control module is also used for giving preset weight values to different detection parameters and matching the operation strategy of the preset fuel cell module according to the weight values;
the digital twin model is also used for forming a predicted operation strategy according to the current detection parameter when the detection parameter which is not in the preset weight value range appears, and the control module adjusts the working parameter of the fuel cell module according to the operation strategy or the predicted operation strategy;
the control module is also used for verifying a predicted operation strategy according to the detection parameters when the machine is started next time, and storing the predicted operation strategy and transmitting the predicted operation strategy to an operation strategy library when the detection parameters when the machine is started next time meet preset stable conditions;
the system also comprises a plurality of sensors arranged on the fuel cell module, wherein the sensors are used for detecting the working condition of the fuel cell module and the temperature and humidity of the environment where the fuel cell module is positioned, and forming the detection parameters;
the working parameters include:
a low-temperature start mode of the fuel cell unit and the power cell unit;
air flow rate, air pressure, and purge duration of the fuel cell unit purge;
the control system further comprises an external module, wherein the external module is connected with the data acquisition module and comprises a temperature sensor and a humidity sensor;
the external module further comprises a communication assembly and a positioning assembly;
the communication component is used for acquiring weather data through the Internet;
the positioning component is used for positioning the geographic position of the fuel cell module;
the external module is used for acquiring the geographical position of the current fuel cell module, recording the temperature and the humidity of the environment corresponding to the geographical position, generating historical environment data, acquiring the geographical position the same as the geographical position of the historical environment data next time, and when the communication assembly is started, the weather data cannot be acquired within a preset time period, invoking the temperature and the humidity of the environment corresponding to the historical environment data, transmitting the temperature and the humidity to the digital twin model and the control module, acquiring the temperature and the humidity of the environment where the fuel cell module is located through a sensor arranged on the fuel cell module, taking external environment factors into a calculation range, and providing a more accurate purging strategy in real time.
2. The digital twin based fuel cell low temperature operation control system according to claim 1, wherein the fuel cell module comprises a fuel cell unit, a power cell unit, and the detected parameter comprises:
the residual electric quantity of the power battery unit and the charge-discharge power rate;
high-frequency impedance value, waterway temperature, anode temperature, flow rate, pressure of the fuel cell unit, and adopted purging strategy and purging temperature of the fuel cell unit;
the operation time of the fuel cell unit and the power cell unit;
the last shutdown state and the shutdown time of the fuel cell unit and the power cell unit;
the working state of the hydrogen circulating pump, the water drainage and nitrogen discharge valve; wherein, the liquid crystal display device comprises a liquid crystal display device,
and the detection parameters of the fuel cell unit and the power cell unit are collected by adopting the sensor.
3. A digital twin-based fuel cell low temperature operation control method comprising the digital twin-based fuel cell low temperature operation control system according to any one of claims 1 to 2, comprising the steps of:
detecting the working condition of the fuel cell module and the temperature and humidity of the environment where the fuel cell module is positioned to form detection parameters;
the data acquisition module acquires detection parameters of the fuel cell module and transmits the detection parameters to the digital twin model;
the digital twin model builds a virtual model which forms a mapping relation with the fuel cell module and can be linked according to the geometric structure and the detection parameters of the fuel cell module, and the virtual model is displayed on the man-machine interaction terminal in a three-dimensional image;
the control module calculates an optimal control instruction according to the detection parameter, and adjusts the working parameter of the fuel cell module according to the control instruction;
the control module updates the digital twin model according to the detection parameters.
4. The digital twin based fuel cell low temperature operation control method according to claim 3, wherein the step of the control module calculating an optimal control command according to the detected parameter comprises:
preset weight values are given to detection parameters with different types and different values;
comparing whether the currently acquired detection parameters meet preset assignment conditions or not, and if so, summing the weight values of the detection parameters meeting the preset assignment conditions to obtain a weight total value;
matching preset operation strategies of the fuel cell module for different weight total values;
and adjusting the working parameters of the fuel cell module according to the operation strategy.
5. The digital twin based fuel cell low temperature operation control method according to claim 4, further comprising the steps of:
the control module gathers the operation strategies of a plurality of preset fuel cell modules to form an operation strategy library;
the control module forms a training database with the stored detection parameters and the corresponding optimal control instructions, and transmits the training database to the digital twin model, so that the digital twin model is learned and repeatedly updated;
detecting parameters which are not in a preset weight value range appear when the machine is started currently, and the digital twin model forms a prediction operation strategy according to the current detecting parameters;
the control module adjusts the operating parameters of the fuel cell module according to the predicted operating strategy.
6. The digital twin based fuel cell low temperature operation control method according to claim 5, further comprising the steps of:
verifying a prediction operation strategy by using detection parameters at the next start-up;
the detection parameters at the next start-up meet preset stable conditions, and the predicted operation strategy is stored and transmitted to an operation strategy library.
7. The digital twin based fuel cell low temperature operation control method according to claim 3, further comprising the steps of:
and acquiring weather data through the Internet, and transmitting the weather data to the digital twin model and the control module.
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