Hydrogen fuel cell integrated test energy management method and system

Abstract

The application relates to the technical field of hydrogen fuel cells, and provides a hydrogen fuel cell comprehensive test energy management method and system, which comprises the following steps: a data uploading module is used for uploading information of a hydrogen fuel cell and information of a power device powered by the hydrogen fuel cell, performing statistical integration, performing simulation calibration, and generating a test information table; a power model establishing module is used for establishing a hydrogen energy cell power supply model and a basic model of a power device simulation operation model based on the test information table; and an output model constraint adjustment module is used for performing constraint and adjustment on the basic model of the hydrogen energy cell power supply model and the power device simulation operation model, and outputting a complete model. Through the establishment of a simulation simulation model, multiple detection experiments are matched to reduce the consumption of hydrogen fuel, and the uploaded hydrogen fuel cell data parameters and power device data parameters are added with fluctuation coefficients and the model output is constrained, so that the real stability of the data is greatly increased, and the accurate operation of the model is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the hydrogen fuel cell technology field, specifically a hydrogen fuel cell comprehensive test energy management method and system. BACKGROUND

[0002] Fuel cell is a kind of power generation device that converts chemical energy existing in fuel and oxidant into electric energy through electrochemical reaction. It is different from conventional batteries in that chemical energy stored in fuel and oxidant is directly converted into electric energy by electrochemical reaction, and the conversion efficiency is high, the reliability is high, the environmental pollution is low, and it has broad development and application prospect. Especially hydrogen fuel cell, it is a new type, efficient, clean and adaptable power generation system, which has been developed and verified in the application of automobile, distributed power generation, standby power supply, portable power supply, aircraft, ship, space station, submarine and other applications.

[0003] After each batch of hydrogen fuel cells is produced, it needs to be tested to detect the effect of hydrogen fuel cells on the power device supplied, to judge whether the hydrogen fuel cells of this batch are qualified for each power device, but such detection often needs multiple tests to reduce errors and accurately test the results, which consumes a lot of hydrogen fuel for testing work, greatly increasing the test cost. Therefore, a hydrogen fuel cell comprehensive test energy management method and system are needed. SUMMARY

[0004] In view of the defects of the prior art, the present application provides a hydrogen fuel cell comprehensive test energy management method and system, which solves the problem that hydrogen fuel cell testing consumes a lot of hydrogen fuel for testing work, greatly increasing the test cost.

[0005] To achieve the above purpose, the present application is realized by the following technical scheme:

[0006] A hydrogen fuel cell comprehensive test energy management system, comprising:

[0007] A data uploading module is used to upload the information of hydrogen fuel cells and the information of power devices supplied by hydrogen fuel cells, and to statistically integrate and simulate calibration to generate a test information table;

[0008] A power model establishing module is used to establish a hydrogen energy battery energy supply model and a power device simulation operation model based on the test information table;

[0009] An output model constraint adjustment module is used to constrain and adjust the hydrogen energy battery energy supply model and the power device simulation operation model, and output a complete model;

[0010] An abnormality monitoring module is configured to monitor whether the model is normally operated during the model operation simulation process and detect abnormal elements of the model;

[0011] A test scheme generation module is configured to extract data of complete model output, select excellent and stable data results for actual hydrogen fuel cell function test experiments, and perform qualification detection to obtain a detection result of the hydrogen fuel cell applied to the power device.

[0012] Preferably, the data uploading module comprises:

[0013] A hydrogen fuel information uploading unit is configured to upload energy coefficient parameters generated by combustion of the hydrogen fuel cell, the energy coefficient parameters comprising combustion point energy, energy density, high calorific value, and low calorific value.

[0014] A power device information uploading unit is configured to upload mechanical parameters of a power device to be powered by the hydrogen fuel cell, the mechanical parameters of the power device comprising power and efficiency, hydrogen supply pressure and consumption, and output voltage and current.

[0015] An information statistical simulation calibration unit is configured to statistically simulate and calibrate information parameters, optimize the information parameters, and add actual combustion and actual mechanical operation parameter fluctuations.

[0016] Preferably, the power model establishment module comprises:

[0017] A parameter importing unit is configured to receive and arrange imported data parameters.

[0018] A model establishment unit is configured to establish a test information table based on the imported data parameters, and establish a basic model of the hydrogen energy cell power supply model and the power device simulation operation model.

[0019] A simulation operation test unit is configured to test a running state of the basic model and debug the basic model according to the running state.

[0020] Preferably, the output model constraint adjustment module comprises:

[0021] An output constraint unit is configured to constrain a lower limit and an upper limit of an output of the basic model.

[0022] A power balance constraint unit is configured to constrain a maximum value and a minimum value of a rated power of the basic model.

[0023] Preferably, the test scheme generation module comprises:

[0024] A data statistical unit is configured to collect and statistically analyze a plurality of groups of data collected by the power model.

[0025] A data correction output unit is configured to correct and adjust the statistically analyzed data.

[0026] The scheme allocation unit is used to allocate and screen multiple sets of data to form multiple test experiments for actual hydrogen fuel cell functions.

[0027] The energy utilization statistics unit compiles statistics based on data obtained from actual test experiments and generates a hydrogen fuel cell test report based on the results.

[0028] Preferably, both the power model establishment module and the output model constraint adjustment module are based on deep learning artificial intelligence large model support.

[0029] A comprehensive energy management method for hydrogen fuel cells includes the following steps:

[0030] Step 1: Upload information about the hydrogen fuel cell and the power unit powered by the hydrogen fuel cell through the data upload module, and then perform statistical integration to generate a test information table.

[0031] Step 2: Using the information in the test information table, establish the basic models for the hydrogen energy battery power supply model and the simulated operation model of the power unit through the power model building module;

[0032] Step 3: Constrain and adjust the basic models of the hydrogen energy battery power supply model and the power unit operation model through the output model constraint adjustment module. After the adjustment is completed, output the complete model.

[0033] Step 4: Run the power model and periodically change the input values ​​of the power model to obtain array output data;

[0034] Step 5: During the operation of the power model, monitor whether the model is running normally through the anomaly monitoring module and detect abnormal elements in the model;

[0035] Step 6: If an anomaly is detected, repeat steps 3 through 5 until no anomalies are detected.

[0036] Step 7: Extract the data output from the complete model through the test scheme generation module, select excellent and stable data results to conduct actual hydrogen fuel cell function test experiments, and conduct qualification tests to obtain the test results of hydrogen fuel cells applied to power devices.

[0037] Preferably, the energy coefficient parameters generated by the combustion of the hydrogen fuel cell and the mechanical parameters of the power device to be powered by the hydrogen fuel cell uploaded in step one need to be simulated and calibrated to optimize the information parameters and add parameter fluctuations from actual combustion and actual mechanical operation.

[0038] Preferably, the specific method for establishing the basic model in step two is as follows: receiving and arranging the imported data parameters, establishing a test information table based on the imported data parameters to establish the basic model of the hydrogen energy battery power supply model and the power device simulated operation model, conducting simulated operation tests, debugging based on the simulated test results, and outputting the basic model after debugging is completed.

[0039] Preferably, the constraints and adjustments to the basic model in step three include:

[0040] The output of the basic model is constrained by a lower and upper bound.

[0041] Constrain the maximum and minimum values ​​of the rated power of the basic model.

[0042] This invention provides a comprehensive testing energy management method and system for hydrogen fuel cells. It offers the following advantages:

[0043] 1. This invention reduces hydrogen fuel consumption by establishing a simulation model to facilitate multiple testing experiments. Furthermore, by adding fluctuation coefficients to the uploaded hydrogen fuel cell data parameters and power unit data parameters and constraining the model output, the real stability of the data is greatly increased, ensuring the accurate operation of the model.

[0044] 2. During the model operation testing process, this invention greatly improves the accuracy of the data generated by the simulation model through multiple tests and adjustments. The resident anomaly monitoring steps can promptly detect and handle anomalies to improve testing efficiency. After completing the simulation test, actual tests are conducted sequentially to ensure the authenticity of the test results. Attached Figure Description

[0045] Figure 1 This is a schematic diagram of a hydrogen fuel cell integrated testing energy management system according to the present invention;

[0046] Figure 2 This is a schematic diagram of the data upload module of a hydrogen fuel cell integrated testing energy management system according to the present invention;

[0047] Figure 3 This is a schematic diagram of the power model establishment module of a hydrogen fuel cell integrated test energy management system according to the present invention;

[0048] Figure 4 This is a schematic diagram of the output model constraint adjustment module of a hydrogen fuel cell integrated test energy management system according to the present invention;

[0049] Figure 5 This is a schematic diagram of the test scheme generation module of a hydrogen fuel cell integrated test energy management system according to the present invention. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] Example:

[0052] As part of this application, please refer to the appendix. Figure 1 -Appendix Figure 5 This invention provides a comprehensive testing and energy management system for hydrogen fuel cells, comprising:

[0053] The data upload module is used to upload information about the hydrogen fuel cell and the power unit powered by the hydrogen fuel cell, perform statistical integration, conduct simulation calibration, and generate a test information table, including:

[0054] The hydrogen fuel information upload unit is used to upload the energy coefficient parameters generated by the combustion of hydrogen fuel cells;

[0055] The power unit information upload unit is used to upload the mechanical parameters of the power unit that the hydrogen fuel cell is to power.

[0056] The information statistics simulation calibration unit is used to collect statistical information parameters and perform simulation calibration to optimize the information parameters and add parameter fluctuations from actual combustion and actual mechanical operation.

[0057] The power model building module is used to establish the basic models for the hydrogen fuel cell power supply model and the simulated operation model of the power unit based on the test information tables. This includes:

[0058] The parameter import unit is used to receive and arrange the imported data parameters.

[0059] The model building unit establishes a test information table based on the imported data parameters to create the basic model for the hydrogen energy battery power supply model and the power unit simulated operation model.

[0060] The test unit is to be run to test the running status of the basic model and to debug it based on the running status.

[0061] The output model constraint adjustment module is used to constrain and adjust the basic models of the hydrogen energy battery power supply model and the simulated operation model of the power unit, and output the complete model, which includes:

[0062] The output constraint unit is used to constrain the lower and upper limits of the output of the basic model.

[0063] Power balance constraint elements are used to constrain the maximum and minimum values ​​of the rated power of the basic model.

[0064] The anomaly monitoring module is used to monitor whether the model is running normally and to detect abnormal elements in the model during the simulation process.

[0065] The test plan generation module is used to extract the data output from the complete model, select excellent and stable data results for actual hydrogen fuel cell function testing experiments, conduct conformity checks, and obtain the test results of hydrogen fuel cells applied to power devices, including:

[0066] The data statistics unit is used to collect multiple sets of data during the power model operation and perform statistical analysis.

[0067] The data correction output unit is used to correct and adjust the statistically completed data;

[0068] The scheme allocation unit is used to allocate and screen multiple sets of data to form multiple test experiments for actual hydrogen fuel cell functions.

[0069] The energy utilization statistics unit compiles statistics based on data obtained from actual test experiments and generates a hydrogen fuel cell test report based on the results.

[0070] Both the power model building module and the output model constraint adjustment module are based on the support of a large deep learning artificial intelligence model.

[0071] The model described in this embodiment refers to the emerging simulation big data model. It uses sufficient data to construct an integrated data program that closely matches the simulation with reality. By inputting data, it can simulate the operation of events and the execution of tasks. Based on actual data, it adds upper and lower limits of numerical constraints and appropriately adds and removes unstable factors to improve the realism, thereby obtaining data that is closer to reality.

[0072] Based on the aforementioned comprehensive test energy management system for hydrogen fuel cells, as another aspect of this application, a comprehensive test energy management method for hydrogen fuel cells includes the following steps:

[0073] Step 1: Upload the information of the hydrogen fuel cell and the power unit powered by the hydrogen fuel cell through the data upload module, and perform statistical integration to generate a test information table. The energy coefficient parameters generated by the combustion of the hydrogen fuel cell and the mechanical parameters of the power unit powered by the hydrogen fuel cell need to be simulated and calibrated to optimize the information parameters and add parameter fluctuations of actual combustion and actual mechanical operation.

[0074] Step 2: Using the information in the test information table, establish the basic model of the hydrogen energy battery power supply model and the power unit simulated operation model through the power model building module. The specific method for establishing the basic model is as follows: receive and arrange the imported data parameters, establish the test information table based on the imported data parameters to establish the basic model of the hydrogen energy battery power supply model and the power unit simulated operation model, conduct simulated operation tests, debug based on the simulated test results, and output the basic model after debugging is completed.

[0075] Step 3: Constrain and adjust the basic models of the hydrogen energy battery power supply model and the proposed operation model of the power unit through the output model constraint adjustment module. After the adjustment is completed, the complete model is output. The constraints and adjustments to the basic model include:

[0076] The output of the basic model is constrained by a lower and upper bound.

[0077] Constrain the maximum and minimum values ​​of the rated power of the basic model.

[0078] Step 4: Run the power model and periodically change the input values ​​of the power model to obtain array output data;

[0079] Step 5: During the operation of the power model, monitor whether the model is running normally through the anomaly monitoring module and detect abnormal elements in the model;

[0080] Step 6: If an anomaly is detected, repeat steps 3 through 5 until no anomalies are detected.

[0081] Step 7: Extract the data output from the complete model through the test scheme generation module, select excellent and stable data results to conduct actual hydrogen fuel cell function test experiments, and conduct qualification tests to obtain the test results of hydrogen fuel cells applied to power devices.

[0082] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A hydrogen fuel cell integrated test energy management system, comprising: include: The data upload module is used to upload information about hydrogen fuel cells and the power unit powered by hydrogen fuel cells, perform statistical integration, conduct simulation calibration, and generate test information tables. The power model building module is used to build the basic model of the hydrogen energy battery power supply model and the simulated operation model of the power unit from the test information table. The output model constraint adjustment module is used to constrain and adjust the basic models of the hydrogen energy battery power supply model and the power unit simulated operation model, and output the complete model. The anomaly monitoring module is used to monitor whether the model is running normally and to detect abnormal elements in the model during the simulation process. The test plan generation module is used to extract the data output from the complete model, select excellent and stable data results to conduct actual hydrogen fuel cell function test experiments, perform qualification checks, and obtain the test results of hydrogen fuel cells applied to power devices. The output model constraint adjustment module includes: The output constraint unit is used to constrain the lower and upper limits of the output of the basic model. Power balance constraint elements are used to constrain the maximum and minimum values ​​of the rated power of the basic model; The test plan generation module includes: The data statistics unit is used to collect multiple sets of data during the power model operation and perform statistical analysis. The data correction output unit is used to correct and adjust the statistically completed data; The scheme allocation unit is used to allocate and screen multiple sets of data to form multiple test experiments for actual hydrogen fuel cell functions. The energy utilization statistics unit compiles statistics based on data obtained from actual test experiments and generates a hydrogen fuel cell test report based on the results.

2. The hydrogen fuel cell integrated test energy management system of claim 1, wherein, The data upload module includes: The hydrogen fuel information upload unit is used to upload the energy coefficient parameters generated by the combustion of hydrogen fuel cells; The power unit information upload unit is used to upload the mechanical parameters of the power unit that the hydrogen fuel cell is to power. The information statistics simulation calibration unit is used to collect statistical information parameters and perform simulation calibration to optimize the information parameters and add parameter fluctuations from actual combustion and actual mechanical operation.

3. The hydrogen fuel cell integrated test energy management system of claim 1, wherein, The power model building module includes: The parameter import unit is used to receive and arrange the imported data parameters. The model building unit establishes a test information table based on the imported data parameters to create the basic model for the hydrogen energy battery power supply model and the power unit simulated operation model. The test unit is to be run to test the running status of the basic model and to debug it based on the running status.

4. The hydrogen fuel cell integrated test energy management system of claim 1, wherein, Both the power model establishment module and the output model constraint adjustment module are based on the support of a large deep learning artificial intelligence model.

5. A method for managing energy of a hydrogen fuel cell integrated test system, using the hydrogen fuel cell integrated test energy management system according to any one of claims 1 to 4, characterized by, Includes the following steps: Step 1: Upload information about the hydrogen fuel cell and the power unit powered by the hydrogen fuel cell through the data upload module, and then perform statistical integration to generate a test information table. Step 2: Using the information in the test information table, establish the basic models for the hydrogen energy battery power supply model and the simulated operation model of the power unit through the power model building module; Step 3: Constrain and adjust the basic models of the hydrogen energy battery power supply model and the power unit operation model through the output model constraint adjustment module. After the adjustment is completed, output the complete model. Step four, run the power model, and change the input value of the power model in stages to obtain an array of output data; Step five, during the operation of the power model, monitor whether the model is running normally through the anomaly monitoring module, and detect abnormal elements of the model; Step six, when an anomaly is detected, repeat steps three to five until there is no anomaly; Step seven, extract the data of the complete model output through the test scheme generation module, select excellent and stable data results for actual hydrogen fuel cell function test experiments, and perform qualification detection to obtain the detection results of the hydrogen fuel cell applied to the power device.

6. The method of claim 5, wherein, The energy coefficient parameters generated by the combustion of the hydrogen fuel cell uploaded in step one and the mechanical parameters of the power device to be powered by the hydrogen fuel cell need to be simulated and calibrated to optimize the information parameters and add the parameter fluctuations of actual combustion and actual mechanical operation.

7. The method of claim 5, wherein the method further comprises: The specific way of establishing the base model in step two is to receive and arrange the imported data parameters, establish a test information table according to the imported data parameters, establish a hydrogen energy cell power supply model and a power device simulation running model base model, and perform simulation running test, debug according to the simulation test results, and output the base model after debugging is completed.

8. The method of claim 5, wherein the method further comprises: The constraints and adjustments of the base model in step three include: The lower limit and upper limit of the output of the base model are constrained; The maximum and minimum values of the rated power of the base model are constrained.

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