CN113884899A - Fuel cell simulation calibration system and method based on digital twinning - Google Patents
Fuel cell simulation calibration system and method based on digital twinning Download PDFInfo
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
Abstract
The invention discloses a fuel cell simulation calibration system and method based on digital twinning, which comprises the steps of obtaining various working conditions and various first performance parameters of a fuel cell; adjusting working conditions in the fuel cell digital twin body to enable the fuel cell digital twin body to operate to obtain a plurality of second performance parameters; judging whether the second performance parameter is consistent with the first performance parameter under the same working condition; if the two are consistent, the calibration is finished, and the digital twin body of the fuel cell is saved; and if the inconsistency occurs, correcting, and returning the corrected digital twin of the fuel cell to the step of adjusting various working conditions in the simulation model. According to the invention, a high-precision sensor, a CVM (constant voltage pulse-width modulation) inspection instrument and a thermal infrared imager are adopted to acquire relatively comprehensive data, a digital twin body of the fuel cell is calibrated and corrected, simulation optimization can be performed after correction, the entity of the fuel cell is further adjusted, the development efficiency is greatly improved, the testing precision is high, and the reliability is good.
Description
Technical Field
The invention relates to the technical field of fuel cells, in particular to a fuel cell simulation calibration system and method based on digital twinning.
Background
The fuel cell is an energy conversion device for converting chemical energy in fuel and oxidant into electric energy, consists of components such as a bipolar plate, a sealing gasket, a membrane electrode and the like, and relates to the complex subject problem of multiphase, multi-scale, multi-component and multi-physical field coupling; in order to shorten the development period of the fuel cell and reduce the development cost, performance analysis and prediction of the fuel cell are often performed by a test and simulation method.
The digital twin is a digital model of the existing or future physical entity object, senses, diagnoses and predicts the state of the physical entity object in real time through actual measurement, simulation and data analysis, regulates and controls the behavior of the physical entity object through optimization and instructions, evolves itself through mutual learning among related digital models, and improves the decision of a stakeholder in the life cycle of the physical entity object.
In order to adapt to the requirements of a commercial market and reduce the cost, a fuel cell test system in the current market has low test precision of a sensor used in the test process, has a single test function, and cannot measure key parameters such as current density distribution, temperature field distribution and the like, so that accurate test data cannot be obtained to serve as calibration data of a simulation model, and further the problems of low precision of the simulation model, low confidence coefficient of a simulation result, incapability of accurately correcting the simulation model and the like are caused; the research and development of the fuel cell completely depending on the entity test has the defects of high cost, long development period, difficult performance prediction and the like, and simultaneously, a large amount of data cannot be effectively utilized to cause waste.
Therefore, a fuel cell simulation calibration system and method based on digital twins are needed, the testing precision is high, the simulation model calibration is accurate, the development efficiency can be improved, and the development cost can be reduced.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a fuel cell simulation calibration system and method based on digital twinning, which has high test precision and accurate calibration of a simulation model, can greatly improve the development efficiency and reduce the development cost when used for developing a fuel cell. The technical scheme is as follows:
in one aspect, the invention provides a fuel cell simulation calibration system based on digital twinning, which at least comprises a computer and an internet of things platform, wherein the computer and the internet of things platform comprise:
the first acquisition module is used for acquiring various working conditions of the fuel cell and corresponding various first performance parameters; the first performance parameter is obtained by inputting a plurality of operating conditions in the fuel cell testing device;
the adjusting module is used for adjusting various working conditions in a simulation model of the fuel cell digital twin so as to enable the fuel cell digital twin to operate to obtain various second performance parameters;
the judging module is used for judging whether the second performance parameters are consistent with the first performance parameters under the same working conditions according to the various first performance parameters and the various second performance parameters;
the first correction module is used for finishing calibration of the fuel cell digital twin body and storing the fuel cell digital twin body if the judgment result is consistent;
and the second correction module is used for correcting the fuel cell digital twin body if the judgment results are inconsistent, and returning the corrected fuel cell digital twin body to execute the step of adjusting various working conditions in the simulation model so that the fuel cell digital twin body obtains various second performance parameters.
Further, the system also comprises a fuel cell and a fuel cell testing device;
the fuel cell is provided with a plurality of flow paths, and a stop valve is arranged at the front and the rear of each flow path;
the fuel cell testing device is used for testing the fuel cell to obtain various working conditions and various first performance parameters, and comprises a PCB (printed circuit board), a pair of current collecting plates, a pair of end plates and various high-precision sensors;
the first performance parameter comprises a current density distribution; one side of the PCB is connected with a bipolar plate of the fuel cell and is used for exporting current signals of the fuel cell, transmitting the current signals to the computer and the Internet of things platform and calculating in the computer and the Internet of things platform to obtain data of current density distribution;
the pair of collecting plates are arranged on the outer sides of the fuel cell and the PCB, the pair of end plates are arranged on the outer sides of the pair of collecting plates, and a plurality of manifold interfaces are arranged on the end plates and are used for being communicated with the flow path;
the high-precision sensors are arranged in the flow paths and used for monitoring information of media in the flow paths to obtain signals of various working conditions and signals of various first performance parameters and transmitting the signals to the computer and the Internet of things platform; the working conditions include input temperature, input pressure, supply flow and humidity in each flow path, and the first performance parameters further include pressure drop and temperature rise in each flow path; the high-precision sensor at least comprises a temperature sensor, a pressure sensor, a flow meter and a humidity sensor, wherein the temperature sensor is used for monitoring and acquiring the input temperature and the temperature rise, the pressure sensor is used for monitoring and acquiring the input pressure and the pressure drop, the flow meter is used for acquiring the supply flow, and the humidity sensor is used for monitoring and acquiring the humidity.
Further, the system also comprises a data collector:
the data collector is in communication connection with the high-precision sensor and used for collecting the signals of the working conditions monitored by the high-precision sensor and the signals of the first performance parameters of the fuel cell under different working conditions and transmitting the signals to the computer and the Internet of things platform.
Further, the first performance parameters further comprise the voltage of the fuel cell and a real-time temperature field, and the system further comprises a CVM (constant voltage management) inspector and a thermal infrared imager;
the CVM polling instrument is used for monitoring and acquiring the voltage of the fuel cell; the CVM polling instrument is also in communication connection with the computer and the Internet of things platform and is used for transmitting the voltage to the computer and the Internet of things platform;
the thermal infrared imager can monitor and acquire a real-time temperature field of the fuel cell; the thermal infrared imager is also in communication connection with the computer and the Internet of things platform and is used for transmitting the image signal of the temperature field to the computer and the Internet of things platform.
In another aspect, the present invention provides a fuel cell simulation calibration method based on digital twinning, including:
acquiring various working conditions and corresponding various first performance parameters of the fuel cell; the first performance parameter is obtained by inputting a plurality of operating conditions in the fuel cell testing device;
adjusting various working conditions in a simulation model of the fuel cell digital twin body so that the fuel cell digital twin body operates to obtain various second performance parameters;
judging whether the second performance parameters are consistent with the first performance parameters under the same working conditions according to the various first performance parameters and the various second performance parameters;
if the judgment result is consistent, finishing the calibration of the fuel cell digital twin body, and storing the fuel cell digital twin body;
and if the judgment results are inconsistent, correcting the fuel cell digital twin body, and returning to the step of adjusting various working conditions in the simulation model for the corrected fuel cell digital twin body so as to enable the fuel cell digital twin body to obtain various second performance parameters.
Further, if the determination result is that the two twin bodies are consistent, the calibration of the fuel cell digital twin body is completed, and after the fuel cell digital twin body is stored, the method further includes:
inputting a new working condition in the fuel cell digital twin body to carry out simulation test to obtain a plurality of third performance parameters;
outputting the third performance parameter to the fuel cell to optimize the fuel cell.
Further, the working conditions comprise at least:
an input temperature, an input pressure, a supply flow rate, and a humidity in each flow path of the fuel cell.
Further, the first performance parameter and the second performance parameter at least each include:
pressure drop, temperature rise in each flow path of the fuel cell, current density distribution in the fuel cell, voltage, and real-time temperature field.
Further, the simulation model of the fuel cell digital twin is obtained by the following steps:
acquiring information of the fuel cell;
and establishing a simulation model of the fuel cell digital twin body according to the information of the fuel cell, the working condition and the first performance parameter.
Further, prior to said obtaining a plurality of operating conditions and a corresponding plurality of first performance parameters of the fuel cell, the method further comprises:
and detecting the air tightness of each flow path in the fuel cell.
The implementation of the invention has the following beneficial effects:
1. the invention establishes the fuel cell digital twin body with accurate calibration data and high precision, does not need to test and verify on the entity of the fuel cell, can greatly improve the development efficiency and shorten the development period.
2. The method has the advantages that the obtained data of the working condition, the first performance parameter and the second performance parameter can calibrate and test correct the fuel cell digital twin body, the corrected fuel cell digital twin body can also be subjected to simulation optimization, the entity of the fuel cell is further adjusted based on the optimization result, a closed loop optimized by a fuel cell simulation model is formed, and the method is high in test precision and good in reliability.
3. Various high-precision sensors are adopted to obtain real-time and accurate test data for calibrating the simulation model, so that the precision of the simulation model can be greatly improved; meanwhile, a CVM polling instrument and a thermal infrared imager are adopted to obtain the voltage and the real-time temperature field of the fuel cell so as to ensure that more comprehensive key parameters are applied to the simulation model and further improve the precision.
Drawings
In order to more clearly illustrate the technical solution in the embodiments of the present invention, the drawings used in the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 is a logic structure diagram of a fuel cell simulation calibration method based on digital twinning according to an embodiment of the present invention;
FIG. 2 is a logical block diagram of an optimized fuel cell in one possible embodiment of the present invention;
FIG. 3 is a schematic diagram of a computer and an Internet of things platform according to one possible embodiment of the invention;
FIG. 4 is a simplified structural diagram of a digital twin-based fuel cell simulation calibration system in one possible embodiment of the present invention;
fig. 5 is a schematic structural diagram of a digital twin-based fuel cell simulation calibration system according to another possible embodiment of the invention.
Detailed Description
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, and therefore, the present invention is not to be construed as being limited thereby. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention can be practiced otherwise than as specifically illustrated or described below. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In order to solve the problem that a fuel cell testing platform in the prior art has low testing accuracy, some key parameters cannot be measured, and a simulation model lacks sufficient calibration basis, the embodiment provides a digital twin-based fuel cell simulation calibration system, as shown in fig. 4 of the specification, which includes a fuel cell, a fuel cell testing device, a data collector, a computer and an internet of things platform, the fuel cell testing device is used for performing high-accuracy testing on the fuel cell to obtain a series of working conditions and first performance parameters related to the fuel cell, a data collector and other collecting devices receive test signals and convert the test signals into test data to be transmitted to the computer and the internet of things platform, and a digital twin body of the fuel cell is established in the computer and the internet of things platform according to the test data and some known data information of the fuel cell, and the simulation model is subjected to test correction through a computer and a virtual module in the Internet of things platform so as to realize accurate correction of the fuel cell digital twin body, so that a first performance parameter simulated by the fuel cell digital twin body is consistent with a first performance parameter actually measured by the fuel cell as far as possible under the same working condition, and the first performance parameter show similar performances, thereby being capable of accurately predicting and optimizing the performance of the fuel cell by using the fuel cell digital twin body, having high reliability, accelerating the development efficiency of the fuel cell and saving the development cost.
Specifically, in order to ensure the accuracy and reliability of correction, a computer and an internet of things platform need to acquire information from devices capable of outputting signals and data, such as a fuel cell testing device and a data collector, and the fuel cell testing device needs to operate to test a fuel cell to realize signal output; as shown in fig. 5 in the specification, in one possible embodiment of the specification, the fuel cell has a plurality of flow paths, namely an empty path (a), a water path (B) and a hydrogen path (C), wherein a medium in the empty path is air, and a stop valve is respectively arranged at a pipeline inlet and a pipeline outlet of the empty path and used for controlling the on-off of the empty path and the flow of the empty path to change the working condition, so that the fuel cell can work under a plurality of working conditions to obtain a sufficient test result of the first performance parameter; and the medium in the water route is water, and the medium in the hydrogen way is hydrogen, and likewise, the pipeline import and the pipeline export of these two flow paths also set up corresponding stop valve respectively to realize the regulation of operating condition, the flexibility is good, can obtain the test result of a large amount of first performance parameters, with the accuracy of assurance follow-up demarcation process is reliable.
Specifically, the fuel cell testing apparatus is used for testing the fuel cell to obtain a plurality of operating conditions and first performance parameters, and the fuel cell is fixedly arranged in the fuel cell testing apparatus, taking a single fuel cell as an example, as shown in fig. 5, the fuel cell testing apparatus includes a pair of current collecting plates and a pair of end plates, the pair of current collecting plates are respectively arranged at two sides of the exterior of the fuel cell, the pair of end plates are arranged at the outer sides of the two current collecting plates, and the end plates are provided with a plurality of branch interfaces for communicating with the flow path; for example, with the direction shown in fig. 5 as a reference, three manifold interfaces are provided on the left end plate and are respectively used for communicating with the pipeline inlets of the air channel, the water channel and the hydrogen channel, and three manifold interfaces are also provided on the right end plate and are respectively used for communicating with the pipeline outlets of the air channel, the water channel and the hydrogen channel, and the three manifold interfaces can be connected with the manifold interfaces through silicone tubes and fixed by clamps, so that the single cells can be exposed to different medium flow conditions to complete the testing process.
Specifically, in one possible embodiment of the present specification, the operating condition to be obtained may include numerical information such as input temperature, input pressure, supply flow rate, and humidity in each flow path of the fuel cell, and the first performance parameter related to the fuel cell may include parameter information such as pressure drop, temperature rise in each flow path of the fuel cell, current density distribution in the fuel cell, voltage, and real-time temperature field (hereinafter, the operating condition and the first performance parameter are collectively referred to as calibration information for calibration correction of the digital twin of the fuel cell).
In order to obtain the calibration information, a PCB and various high-precision sensors are also arranged in the fuel cell testing device, wherein the PCB is arranged to finally obtain the data of current density distribution; it should be noted that the current density uniformity of the active region of the fuel cell plays a crucial role in optimizing the performance of the fuel cell, and by analyzing the current density distribution, the problems of flooding, uneven gas distribution, local hot spots and the like in the fuel cell can be reflected, and the uneven density can also affect the parameters of the fuel cell such as efficiency, durability, service life and the like; in addition, the fuel cell has a problem of multi-physical field coupling, and the multi-field coupling relationship between the current density distribution and parameters such as temperature, humidity, pressure, metering ratio and the like also needs to be further analyzed and researched.
As shown in fig. 5, the PCB is disposed at one side of the fuel cell, i.e. between the fuel cell and one of the current collecting plates, and the fuel cell has a structure having a bipolar plate, which can contact with the PCB after assembly, so as to lead out the current signal through the PCB; in addition, copper plate areas which are insulated from each other and are composed of copper sheets are arranged on the PCB, and the copper sheets are insulated and separated through glass fibers to form a net-shaped structure; the copper sheets in each area have the same area size, and the gold-plated layer with the thickness of about 10 microns is arranged on the surfaces of the copper sheets, so that the conductivity can be greatly improved, a better anti-corrosion effect can be achieved, and the durability can be improved; after the PCB and the monocells are assembled together, the copper sheet is in contact with the surface of the bipolar plate to obtain current signals, then the current signals are transmitted to a data acquisition unit through a signal wire connected with the PCB, then the current signals are led into a computer and an internet of things platform in a CAN2.0 communication mode, and real-time monocell current density distribution data, namely current density distribution in the first performance parameter, CAN be obtained through calculation.
The high-precision sensors are arranged in the flow paths to ensure that the information of the medium in the flow paths can be detected fully enough, so that the signals for acquiring the calibration information are transmitted to a computer and an Internet of things platform; the high-precision sensor can comprise a temperature sensor (T), a pressure sensor (P), a flowmeter (MF) and a humidity sensor (RH), wherein the temperature sensor is used for monitoring and obtaining signals of input temperature and temperature rise in three flow paths, a temperature sensor can be arranged at a pipeline inlet of each flow path and used for obtaining the input temperature of medium flow at the inlet, a temperature sensor is arranged at an outlet of each pipeline and used for obtaining the outlet temperature of the medium flow passing through a single cell at the outlet, or the temperature sensor can also obtain a temperature change value of the single cell at the same position before and after the single cell is tested, namely a temperature rise value signal; or in another possible implementation manner of the present specification, the temperature sensor only monitors a real-time temperature value signal, and the temperature rise value data is calculated in the computer and the internet of things platform after the temperature value signal is transmitted to the computer and the internet of things platform; similarly, the pressure sensor is used for monitoring and acquiring signals of input pressure and pressure drop in the three flow paths, and can be arranged in the same way as the temperature sensor; in addition, as shown in fig. 5, in a possible embodiment of the present specification, a temperature sensor and a pressure sensor located at the same position may be replaced by a temperature and pressure integrated sensor, so that the structural complexity of the device is reduced, and the corresponding cost is also saved; in addition, a flow meter may be provided on the inlet pipe of each flow path for monitoring a real-time numerical signal of the supply flow rate in the current flow path; the humidity sensors can also be arranged on the inlet pipelines of each flow path and used for monitoring the real-time humidity in the current flow path; in this embodiment, the flow path B is a water path, and therefore, it is not necessary to provide a humidity sensor, and only the humidity sensor needs to be provided in the air path and the hydrogen path.
Specifically, the data collector is connected with various high-precision sensors, the data collector is also connected with a PCB (printed Circuit Board), the connection mode can be selected to be connected through a signal line or can be selected to be in communication connection, the data collector can receive various signals sent by the fuel cell testing device, the signals comprise current signals led out from the signal line of the PCB and various sensing signals (including signals of temperature, pressure, humidity and flow) monitored by the various high-precision sensors, namely signals of working conditions and first performance parameters, and the data collected by the data collector are transmitted to a computer and an Internet of things platform in a communication mode; in one possible implementation manner of the present specification, the data collector may select an FPGA data collection device or an agilent business data collector.
Specifically, as shown in fig. 5, the fuel cell simulation calibration system based on the digital twin further includes a CVM inspector and a thermal infrared imager; the CVM polling instrument is connected with the current collecting plate and used for monitoring and acquiring the voltage of the fuel cell in the testing process, and is also in communication connection with the computer and the Internet of things platform and capable of transmitting a voltage signal to the computer and the Internet of things platform for subsequent calibration; similarly, the thermal infrared imager CAN acquire a real-time temperature field of the fuel cell, is in communication connection with the computer and the Internet of things platform, CAN input image information of the temperature field into the computer and the Internet of things platform through the CAN2.0 communication interface, converts a cloud image of the temperature field into data of temperature and coordinates through software with an image recognition technology, and inputs the data of the temperature and the coordinates as a boundary condition of the temperature field of the fuel cell into a digital twin organism of the fuel cell for calibration.
In addition, in order to ensure that each obtained calibration parameter is accurate and reliable, before the operation test of the fuel cell, each flow path of the fuel cell needs to be subjected to airtightness detection; taking an empty path as an example, opening two stop valves in front of and behind the empty path, closing the water path and the stop valves in front of and behind the hydrogen path, inputting a known fixed flow into the air path, observing the indication number of a corresponding flowmeter in the air path, and if the flowmeter is stabilized at a certain flow value after a period of time, indicating that no internal leakage exists in the battery; similarly, the hydrogen path and the water path can be detected by the same flow method.
After the calibration parameters, namely various working conditions and various first performance parameters, are accurately obtained by a computer and an internet of things platform, a simulation model of the fuel cell digital twin body can be established in a virtual module of the simulation model, the fuel cell digital twin body is trained in the modes of AI neural network, machine learning and the like, and a large number of calibration parameters with coupling relations are assigned to the fuel cell digital twin body for training and correction, so that the finally trained fuel cell digital twin body shows performance similar to that of a fuel cell in a real object under the same input boundary condition.
The invention also provides a fuel cell simulation calibration method based on digital twins, which is realized based on the fuel cell simulation calibration system based on digital twins, and can calibrate the digital twins of the fuel cell in a computer and an internet of things platform, and the technical scheme of the embodiment of the invention is described in detail below, referring to the attached figure 1 of the specification, and the method comprises the following steps:
s101, acquiring various working conditions of the fuel cell and corresponding various first performance parameters.
The first performance parameter is obtained by inputting various working conditions in the fuel cell testing device for testing; the electrochemical performance of the fuel cell is different under different working conditions, so that the electrochemical performance parameters of the fuel cell under different temperatures, humidity, pressure and flow, namely first performance parameters, CAN be obtained by adjusting the working conditions such as the flow, the temperature, the pressure and the like of air, hydrogen and water, signals of the working conditions and the first performance parameters CAN be led into a self-made FPGA data acquisition device or a commercial Agilent data acquisition device through a CAN2.0 interface and a signal line, and then read through a computer and upper computer software in an Internet of things platform, so that accurate calibration parameter data CAN be obtained; and the actual conditions, the first performance parameters and the parameter coupling relationship among the working conditions, the first performance parameters and the first performance parameters are solved and calculated according to the data of the working conditions and the first performance parameters, and the working conditions, the first performance parameters and the parameter coupling relationship among the working conditions, the first performance parameters and the first performance parameters can be applied to the aspects of fuel cell digital twin construction, fuel cell digital twin calibration, training development and the like in the subsequent steps.
And S103, adjusting various working conditions in a simulation model of the fuel cell digital twin body so as to enable the fuel cell digital twin body to operate to obtain various second performance parameters.
Similar to the first performance parameter, the second performance parameter may also include parameter information such as a pressure drop and a temperature rise in each flow path of the fuel cell digital twin, a current density distribution in the fuel cell, a voltage, and a real-time temperature field.
The working conditions and the first performance parameters are mapped into the simulation model, can be input through a computer and expansion interfaces of some simulation software in the platform of the Internet of things, and then the fuel cell digital twin body runs, so that in the fuel cell digital twin body, the multi-physical field coupling performance analysis can be carried out by combining the current density distribution measured by the PCB and the temperature field distribution data measured by the thermal infrared imager; for example, after a certain boundary condition (the same as the data such as the operating condition input in the fuel cell testing apparatus) is input into the simulation model, a solver built in the simulation model is used to perform a coupled solution based on a formula in the fields of finite volume method, hydrodynamics, heat transfer chemistry, electrochemistry and the like, so as to obtain a second performance parameter of the fuel cell twin.
The simulation model herein refers to a fuel cell digital twin, and may also refer to simulation software for creating a fuel cell digital twin.
And S105, judging whether the second performance parameters are consistent with the first performance parameters under the same working conditions according to the various first performance parameters and the various second performance parameters.
The step can also be directly judged in the simulation model, and can also be judged by adopting a computer and other judging modules in the platform of the Internet of things so as to meet different calibration requirements.
And S107, if the judgment results are consistent, the calibration of the fuel cell digital twin is finished, and the fuel cell digital twin is stored.
In the process, a first performance parameter can be selected as a judgment standard, and other data are the same as data obtained by actual measurement and are input as boundary conditions for judgment; for example, if the current density distribution is used as a judgment standard, if the current density distribution output by the digital twin of the fuel cell is consistent with the actual current density distribution acquired by the data acquisition unit, the digital twin of the fuel cell under the working condition is proved to be accurate; in another possible implementation manner of the present specification, at least two first performance parameters may be selected together as a determination criterion to accelerate the calibration efficiency.
And S109, if the judgment results are inconsistent, correcting the fuel cell digital twin body, and returning to the step of adjusting various working conditions in the simulation model for the corrected fuel cell digital twin body so as to enable the fuel cell digital twin body to obtain various second performance parameters.
At this time, the simulation model can be adjusted and corrected through an empirical formula or a correction system, and the steps S103-S109 are executed again until the first performance parameter simulated by the digital twin of the fuel cell approaches the first performance parameter obtained by the test.
Specifically, as shown in fig. 2 of the specification, after step S107, that is, after calibration is completed, the method further includes:
and S202, inputting a new working condition in the fuel cell digital twin body to perform a simulation test to obtain various third performance parameters.
And S204, outputting the third performance parameter to the fuel cell to optimize the fuel cell.
That is, the calibrated digital twin of the fuel cell can show the performance similar to the entity of the fuel cell, and can be used for optimizing and predicting the fuel cell; the method has the advantages that the new working conditions, namely the new working conditions, are input into the digital twin body of the fuel cell, so that the test and optimization of various working conditions and test scenes can be carried out, the reference of the fault point and the fault probability of the fuel cell is provided, the performance of the virtual model can be optimized by combining various simulation software, the performance of the fuel cell can be accurately predicted, the predicted and optimized result is applied to the entity of the fuel cell, the accuracy of the simulation model is high, the development efficiency of the fuel cell can be greatly improved, the development period is shortened, and the development cost is reduced.
Specifically, the simulation model of the fuel cell digital twin is obtained by the following steps:
information of the fuel cell is acquired.
And establishing a simulation model of the fuel cell digital twin body according to the information of the fuel cell, the working condition and the first performance parameter.
Here, the information of the fuel cell includes some known information, for example, entity information such as an actual structure, size, and shape of the fuel cell.
The fuel cell digital twin is established in simulation software, and working conditions and first performance parameters can be assigned to the fuel cell digital twin so as to train and correct the fuel cell digital twin; the simulation model of the fuel cell digital Twin body can be established through self-developed digital Twin software or digital Twin business software (Ansys Twin Builder), the modeling language adopted by the simulation software comprises VHDL-AMS (IEEE 1076.1), Modelica, Simplorer modeling language, C/C + + modeling, SPICE model and the like, and meanwhile, the simulation software can arrange the established fuel cell digital Twin body on an industrial Internet of things platform, such as PTC thingxingx, GE Predix, SAP Leonardo and the like.
Corresponding to the fuel cell simulation calibration method based on the digital twin, the computer and the internet of things platform provided by the embodiment of the invention can be matched with a fuel cell, a fuel cell testing device, a data sensor, a CVM (chemical vapor deposition) polling instrument and a thermal infrared imager to realize the fuel cell simulation calibration method based on the digital twin, and as shown in the attached figure 3 of the specification, the computer and the internet of things platform can comprise:
a first obtaining module 310 for obtaining a plurality of operating conditions of the fuel cell and a corresponding plurality of first performance parameters; the first performance parameter is obtained by inputting a plurality of operating conditions in the fuel cell testing device;
the adjusting module 320 is used for adjusting various working conditions in a simulation model of the fuel cell digital twin so that the fuel cell digital twin operates to obtain various second performance parameters;
a determining module 330, configured to determine, according to the multiple first performance parameters and the multiple second performance parameters, whether the second performance parameters are consistent with the first performance parameters under the same working condition;
the first correction module 340 is configured to, if the determination result is that the two are consistent, complete calibration of the fuel cell digital twin and save the fuel cell digital twin;
and a second correcting module 350, configured to correct the fuel cell digital twin if the determination results are inconsistent, and return to the step of adjusting multiple working conditions in the simulation model for the corrected fuel cell digital twin so that the fuel cell digital twin obtains multiple second performance parameters.
In one possible implementation, the computer and the internet of things platform may further include:
the simulation optimization module is used for inputting a new working condition in the fuel cell digital twin body to carry out simulation test to obtain various third performance parameters;
an optimization application module for outputting the third performance parameter to the fuel cell to optimize the fuel cell.
In another possible implementation, the computer and the internet of things platform may further include:
the second acquisition module is used for acquiring the information of the fuel cell;
and the model building module is used for building a simulation model of the fuel cell digital twin according to the information of the fuel cell, the working condition and the first performance parameter.
It should be noted that, when the computer and the internet of things platform are used to implement the functions thereof, the division of the functional modules is merely used as an example, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.
According to the embodiment, the fuel cell simulation calibration system and method based on the digital twin in the embodiment of the invention have the following beneficial effects:
1. the invention establishes the fuel cell digital twin body with accurate calibration data and high precision, does not need to test and verify on the entity of the fuel cell, can greatly improve the development efficiency and shorten the development period.
2. The method has the advantages that the obtained data of the working condition, the first performance parameter and the second performance parameter can calibrate and test correct the fuel cell digital twin body, the corrected fuel cell digital twin body can also be subjected to simulation optimization, the entity of the fuel cell is further adjusted based on the optimization result, a closed loop optimized by a fuel cell simulation model is formed, and the method is high in test precision and good in reliability.
3. Various high-precision sensors are adopted to obtain real-time and accurate test data for calibrating the simulation model, and the simulation model is different from a traditional test bench in the aspects of test precision and content, so that the precision of the simulation model can be greatly improved; meanwhile, a CVM polling instrument and a thermal infrared imager are adopted to obtain the voltage and the real-time temperature field of the fuel cell so as to ensure that more comprehensive key parameters are applied to the simulation model and further improve the precision.
It should be noted that the order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
While the invention has been described with reference to certain embodiments, it will be understood by those skilled in the art that various changes and modifications may be made, and equivalents may be substituted for elements thereof without departing from the scope of the invention as defined by the claims.
Claims (10)
1. The utility model provides a fuel cell emulation calibration system based on digit twin which characterized in that includes computer and thing networking platform at least, computer and thing networking platform include:
the first acquisition module is used for acquiring various working conditions of the fuel cell and corresponding various first performance parameters; the first performance parameter is obtained by inputting a plurality of operating conditions in the fuel cell testing device;
the adjusting module is used for adjusting various working conditions in a simulation model of the fuel cell digital twin so as to enable the fuel cell digital twin to operate to obtain various second performance parameters;
the judging module is used for judging whether the second performance parameters are consistent with the first performance parameters under the same working conditions according to the various first performance parameters and the various second performance parameters;
the first correction module is used for finishing calibration of the fuel cell digital twin body and storing the fuel cell digital twin body if the judgment result is consistent;
and the second correction module is used for correcting the fuel cell digital twin body if the judgment results are inconsistent, and returning the corrected fuel cell digital twin body to execute the step of adjusting various working conditions in the simulation model so that the fuel cell digital twin body obtains various second performance parameters.
2. The digital twin-based fuel cell simulation calibration system as set forth in claim 1, wherein the system further comprises a fuel cell and a fuel cell testing device;
the fuel cell is provided with a plurality of flow paths, and a stop valve is arranged at the front and the rear of each flow path;
the fuel cell testing device is used for testing the fuel cell to obtain various working conditions and various first performance parameters, and comprises a PCB (printed circuit board), a pair of current collecting plates, a pair of end plates and various high-precision sensors;
the first performance parameter comprises a current density distribution; one side of the PCB is connected with a bipolar plate of the fuel cell and is used for exporting current signals of the fuel cell, transmitting the current signals to the computer and the Internet of things platform and calculating in the computer and the Internet of things platform to obtain data of current density distribution;
the pair of collecting plates are arranged on the outer sides of the fuel cell and the PCB, the pair of end plates are arranged on the outer sides of the pair of collecting plates, and a plurality of manifold interfaces are arranged on the end plates and are used for being communicated with the flow path;
the high-precision sensors are arranged in the flow paths and used for monitoring information of media in the flow paths to obtain signals of various working conditions and signals of various first performance parameters and transmitting the signals to the computer and the Internet of things platform; the working conditions include input temperature, input pressure, supply flow and humidity in each flow path, and the first performance parameters further include pressure drop and temperature rise in each flow path; the high-precision sensor at least comprises a temperature sensor, a pressure sensor, a flow meter and a humidity sensor, wherein the temperature sensor is used for monitoring and acquiring the input temperature and the temperature rise, the pressure sensor is used for monitoring and acquiring the input pressure and the pressure drop, the flow meter is used for acquiring the supply flow, and the humidity sensor is used for monitoring and acquiring the humidity.
3. The system of claim 2, wherein the system further comprises a data collector:
the data collector is in communication connection with the high-precision sensor and used for collecting the signals of the working conditions monitored by the high-precision sensor and the signals of the first performance parameters of the fuel cell under different working conditions and transmitting the signals to the computer and the Internet of things platform.
4. The digital twin-based fuel cell simulation calibration system as claimed in claim 1, wherein the first performance parameters further comprise a voltage and a real-time temperature field of the fuel cell, and the system further comprises a CVM (chemical vapor deposition) inspector and a thermal infrared imager;
the CVM polling instrument is used for monitoring and acquiring the voltage of the fuel cell; the CVM polling instrument is also in communication connection with the computer and the Internet of things platform and is used for transmitting the voltage to the computer and the Internet of things platform;
the thermal infrared imager can monitor and acquire a real-time temperature field of the fuel cell; the thermal infrared imager is also in communication connection with the computer and the Internet of things platform and is used for transmitting the image signal of the temperature field to the computer and the Internet of things platform.
5. A fuel cell simulation calibration method based on digital twinning is characterized by comprising the following steps:
acquiring various working conditions and corresponding various first performance parameters of the fuel cell; the first performance parameter is obtained by inputting a plurality of operating conditions in the fuel cell testing device;
adjusting various working conditions in a simulation model of the fuel cell digital twin body so that the fuel cell digital twin body operates to obtain various second performance parameters;
judging whether the second performance parameters are consistent with the first performance parameters under the same working conditions according to the various first performance parameters and the various second performance parameters;
if the judgment result is consistent, finishing the calibration of the fuel cell digital twin body, and storing the fuel cell digital twin body;
and if the judgment results are inconsistent, correcting the fuel cell digital twin body, and returning to the step of adjusting various working conditions in the simulation model for the corrected fuel cell digital twin body so as to enable the fuel cell digital twin body to obtain various second performance parameters.
6. The method for calibrating the digital twin-based fuel cell simulation according to claim 5, wherein if the determination result is consistent, the calibration of the digital twin of the fuel cell is completed, and after the digital twin of the fuel cell is saved, the method further comprises:
inputting a new working condition in the fuel cell digital twin body to carry out simulation test to obtain a plurality of third performance parameters;
outputting the third performance parameter to the fuel cell to optimize the fuel cell.
7. A digital twin based fuel cell simulation calibration method according to claim 5, wherein the operating conditions comprise at least:
an input temperature, an input pressure, a supply flow rate, and a humidity in each flow path of the fuel cell.
8. The method of claim 5, wherein the first performance parameter and the second performance parameter each comprise at least:
pressure drop, temperature rise in each flow path of the fuel cell, current density distribution in the fuel cell, voltage, and real-time temperature field.
9. The method for calibrating the digital twin-based fuel cell simulation as recited in claim 5, wherein the simulation model of the digital twin of the fuel cell is obtained by the following steps:
acquiring information of the fuel cell;
and establishing a simulation model of the fuel cell digital twin body according to the information of the fuel cell, the working condition and the first performance parameter.
10. The method of claim 5, wherein prior to said obtaining a plurality of operating conditions and a corresponding plurality of first performance parameters of the fuel cell, the method further comprises:
and detecting the air tightness of each flow path in the fuel cell.
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