Hydrogen fuel cell comprehensive test energy management method and system

Abstract

The invention relates to the technical field of hydrogen fuel cells, and provides a hydrogen fuel cell comprehensive test energy management method and system, and the system comprises a data uploading module which is used for uploading the information of a hydrogen fuel cell and the information of a power device for supplying energy to the hydrogen fuel cell, carrying out the statistical integration, carrying out the simulation calibration, and generating a test information table; the power model building module is used for building basic models of a hydrogen energy battery energy supply model and a power device to-be-operated model according to the test information table; and the output model constraint adjustment module is used for constraining and adjusting the basic models of the hydrogen energy battery energy supply model and the power device to-be-operated model, and outputting a complete model. The simulation model is established to cooperate with multiple detection experiments to reduce the consumption of hydrogen fuel, and the fluctuation coefficient is added and the model output is constrained through the uploaded data parameters of the hydrogen fuel cell and the power device, so that the real stability of the data is greatly improved, and the accurate operation of the model is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrogen fuel cells, and particularly to a comprehensive test energy management method and system for hydrogen fuel cells. Background Art

[0002] A fuel cell is a power generation device that directly converts the chemical energy existing in a fuel and an oxidant into electrical energy through an electrochemical reaction. Different from conventional batteries, it directly converts the chemical energy stored in the fuel and the oxidant into electrical energy through an electrochemical reaction, with high energy conversion efficiency, high reliability, and low environmental pollution, and has broad development and application prospects. Especially the hydrogen fuel cell is a new type, efficient, clean, and highly adaptable power generation system, and has currently been developed and verified in applications such as automobiles, distributed power generation, backup power supplies, portable power supplies, airplanes, ships, space stations, submarines, etc.

[0003] After each batch of hydrogen fuel cells is produced, it is necessary to test them to detect the effectiveness of the hydrogen fuel cells on the powered devices supplied with energy, and to judge whether the energy supply of this batch of hydrogen fuel cells to each powered device is qualified. However, such detection often requires multiple tests to reduce errors and accurately test the results, thus requiring a lot of hydrogen fuel to be consumed in the test work, greatly increasing the test cost. Therefore, a comprehensive test energy management method and system for hydrogen fuel cells are needed. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention provides a comprehensive test energy management method and system for hydrogen fuel cells, which solves the problem that a lot of hydrogen fuel needs to be consumed in the test work of hydrogen fuel cells, greatly increasing the test cost.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A comprehensive test energy management system for hydrogen fuel cells, comprising: A data upload module, configured to upload information of the hydrogen fuel cell and information of the powered device supplied with energy by the hydrogen fuel cell, and perform statistical integration and simulation calibration to generate a test information table; A power model establishment module, configured to establish a basic model of a hydrogen energy battery power supply model and a powered device simulated operation model based on the test information table; An output model constraint adjustment module, configured to constrain and adjust the basic models of the hydrogen energy battery power supply model and the powered device simulated operation model, and output a complete model; An anomaly monitoring module, configured to monitor whether the model operates normally and detect abnormal elements of the model during the model operation simulation process; A test plan generation module, which is used to extract the data output by the complete model, select excellent and stable data results for the test experiment of the actual hydrogen fuel cell function, and conduct qualification detection to obtain the detection results of the hydrogen fuel cell applied to the power device.

[0006] Preferably, the data upload module includes: A hydrogen fuel information upload unit, which is used to upload the energy coefficient parameters generated by the combustion of the hydrogen fuel cell. The energy coefficient parameters include combustion point energy, energy density, higher calorific value, and lower calorific value; A power device information upload unit, which is used to upload the mechanical parameters of the power device to be powered by the hydrogen fuel cell. The mechanical parameters of the power device include power and efficiency, hydrogen supply pressure and consumption, output voltage and current; An information statistics simulation calibration unit, which is used to count information parameters and conduct simulation calibration to optimize information parameters and add parameter fluctuations of actual combustion and actual mechanical operation.

[0007] Preferably, the power model establishment module includes; A parameter import unit, which is used to receive and arrange the imported data parameters; A model establishment unit, which establishes a test information table based on the imported data parameters to establish a basic model of the hydrogen energy battery power supply model and the power device quasi-operation model; A quasi-operation test unit, which is used to test the operation status of the basic model and conduct debugging according to the operation status.

[0008] Preferably, the output model constraint adjustment module includes: An output constraint unit, which is used to constrain the lower limit and upper limit of the output of the basic model; A power balance constraint unit, which is used to constrain the maximum and minimum values of the rated power of the basic model.

[0009] Preferably, the test plan generation module includes: A data statistics unit, which is used to collect multiple groups of data collected during the operation of the power model and conduct statistics; A data correction output unit, which is used to correct and adjust the statistically completed data; A plan allocation unit, which is used to allocate and screen multiple groups of data to form multiple test experiments for the actual hydrogen fuel cell function; An energy utilization rate statistics unit, which conducts statistics based on the data obtained from the actual test experiment and generates a hydrogen fuel cell test report according to the results.

[0010] Preferably, both the power model establishment module and the output model constraint adjustment module are supported by a deep learning artificial intelligence large model.

[0011] A comprehensive test energy management method for a hydrogen fuel cell, comprising the following steps: Step 1: Upload the information of the hydrogen fuel cell and the information of the power device powered by the hydrogen fuel cell through a data upload module, and perform statistical integration to generate a test information table; Step 2: Use the information in the test information table to establish a basic model of a hydrogen energy battery power supply model and a power device simulated operation model through a power model establishment module; Step 3: Through an output model constraint adjustment module, constrain and adjust the basic models of the hydrogen energy battery power supply model and the power device simulated operation model. After the adjustment is completed, output the complete model; Step 4: Run the power model and periodically change the input value of the power model to obtain array output data; Step 5: During the operation of the power model, monitor whether the model is running normally through an abnormal monitoring module, and detect abnormal elements of the model; Step 6: When an abnormality is detected, repeat Steps 3 to 5 until there is no abnormality; Step 7: Extract the data output by the complete model through a test plan generation module, select excellent and stable data results for the test experiment of the actual hydrogen fuel cell function, and perform qualification detection to obtain the detection result of the hydrogen fuel cell applied to the power device.

[0012] 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 1 need to be simulated and calibrated to optimize the information parameters and add the parameter fluctuations of actual combustion and actual mechanical operation.

[0013] Preferably, the specific method for establishing the basic model in Step 2 is: receive and arrange the imported data parameters, establish a test information table according to the imported data parameters to establish a basic model of a hydrogen energy battery power supply model and a power device simulated operation model, and perform a simulated operation test. Debug according to the simulated test results, and output the basic model after the debugging is completed.

[0014] Preferably, the constraints and adjustments of the basic model in Step 3 include: Constrain the lower and upper limits of the output of the basic model; Constrain the maximum and minimum values of the rated power of the basic model.

[0015] The present invention provides a comprehensive test energy management method and system for a hydrogen fuel cell. It has the following beneficial effects: 1. The present invention reduces the consumption of hydrogen fuel by establishing a simulation model to cooperate with multiple detection experiments. By adding a fluctuation coefficient to the uploaded data parameters of the hydrogen fuel cell and the power device and constraining the model output, the true stability of the data is greatly increased, ensuring the accurate operation of the model.

[0016] 2. During the process of model operation detection, the present invention greatly improves the accuracy of the data generated by the simulation model through multiple detections and debugging. The resident anomaly monitoring step can timely detect and handle anomalies to improve the test efficiency. After the simulation test is completed, an actual test is carried out to ensure the authenticity of the test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of a hydrogen fuel cell integrated test energy management system of the present invention; Figure 2 It is a schematic diagram of the data upload module system of a hydrogen fuel cell integrated test energy management system of the present invention; Figure 3 It is a schematic diagram of the power model establishment module system of a hydrogen fuel cell integrated test energy management system of the present invention; Figure 4 It is a schematic diagram of the output model constraint adjustment module system of a hydrogen fuel cell integrated test energy management system of the present invention; Figure 5 It is a schematic diagram of the test plan generation module system of a hydrogen fuel cell integrated test energy management system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] Embodiment: As one aspect of the present application, please refer to the attached Figure 1 - attached Figure 5 , the embodiment of the present invention provides a hydrogen fuel cell integrated test energy management system, including: A data upload module, configured to upload information of a hydrogen fuel cell and information of a power device powered by the hydrogen fuel cell, perform statistical integration, and perform simulation calibration to generate a test information table, including: A hydrogen fuel information upload unit, configured to upload energy coefficient parameters generated by the combustion of a hydrogen fuel cell; A power device information uploading unit for uploading the mechanical parameters of the power device to be powered by the hydrogen fuel cell; An information statistics simulation calibration unit for statistically analyzing information parameters and performing simulation calibration to optimize the information parameters and add parameter fluctuations in actual combustion and actual mechanical operation.

[0020] A power model establishment module for establishing a basic model of a hydrogen energy battery power supply model and a power device quasi-operation model from a test information table, including: A parameter import unit for receiving and arranging the imported data parameters; A model establishment unit for establishing a basic model of a hydrogen energy battery power supply model and a power device quasi-operation model from the imported data parameters in the test information table; A quasi-operation test unit for testing the operation status of the basic model and performing debugging according to the operation status.

[0021] An output model constraint adjustment module for constraining and adjusting the basic models of the hydrogen energy battery power supply model and the power device quasi-operation model to output a complete model, including: An output constraint unit for constraining the lower and upper limits of the output of the basic model; A power balance constraint unit for constraining the maximum and minimum values of the rated power of the basic model.

[0022] An anomaly monitoring module for monitoring whether the model is operating normally and detecting abnormal elements of the model during the model operation simulation process; A test plan generation module for extracting the data output by the complete model, selecting excellent and stable data results for actual hydrogen fuel cell function test experiments, and performing qualification detection to obtain the test results of the hydrogen fuel cell applied to the power device, including: A data statistics unit for collecting multiple groups of data collected during the operation of the power model and performing statistics; A data correction output unit for correcting and adjusting the statistically completed data; A plan allocation unit for allocating and screening multiple groups of data to form multiple test experiments for actual hydrogen fuel cell functions; An energy utilization rate statistics unit for performing statistics based on the data obtained from the actual test experiments and generating a hydrogen fuel cell test report according to the results.

[0023] Both the power model establishment module and the output model constraint adjustment module are supported by a deep learning artificial intelligence large model.

[0024] Among them, the model described in this embodiment refers to the newly emerging simulation big data model. Using sufficient data, an integrated data program with a high degree of matching between simulation and reality is constructed. Through the input data, the operation of events and the execution of tasks can be simulated, and on the basis of actual data, constraints on the upper and lower limits of values are added and unstable factors are appropriately removed to improve the authenticity, thereby obtaining data that is closer to reality.

[0025] Based on the above-provided hydrogen fuel cell integrated test energy management system, as another aspect of this application, a hydrogen fuel cell integrated test energy management method includes the following steps: Step 1: Upload the information of the hydrogen fuel cell and the information of the power device 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 uploaded hydrogen fuel cell 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 parameter fluctuations of actual combustion and actual mechanical operation. Step 2: Use the information in the test information table to establish a basic model of the hydrogen energy battery power supply model and the power device quasi-operation model through the power model establishment module. Among them, the specific method for establishing the basic model is: receive and arrange the imported data parameters, and establish a basic model of the hydrogen energy battery power supply model and the power device quasi-operation model according to the imported data parameters to establish a test information table, and perform quasi-operation tests. Debug according to the quasi-test results, and output the basic model after debugging is completed. Step 3: Constraine and adjust the basic models of the hydrogen energy battery power supply model and the power device quasi-operation model through the output model constraint adjustment module. After the adjustment is completed, output the complete model. Among them, the constraints and adjustments on the basic model include: Constrain the lower limit and upper limit of the output of the basic model; Constrain the maximum and minimum values of the rated power of the basic model.

[0026] Step 4: Run the power model and periodically change the input value of the power model to obtain array output data; 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 of the model; Step 6: When an anomaly is detected, repeat Steps 3 to 5 until there is no anomaly; Step 7: Extract the data output by the complete model through the test plan generation module, select excellent and stable data results for the actual hydrogen fuel cell function test experiment, and perform qualification detection to obtain the detection result of the application of the hydrogen fuel cell to the power device.

[0027] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A hydrogen fuel cell comprehensive test energy management system, characterized in that: include: The data upload module is used to upload the information of the hydrogen fuel cell and the power device powered by the hydrogen fuel cell, and to carry out statistical integration, simulation calibration, and generate a test information table; The power model building module is used to build the basic model of the hydrogen energy battery energy supply model and the power device simulated operation model based on the test information table; Output model constraint adjustment module, used to constrain and adjust the basic model of hydrogen energy battery energy supply model and power plant simulated operation model, and output the complete model; The abnormality monitoring module is used to monitor whether the model is operating normally and detect abnormal elements of the model during the model operation simulation process; The test plan generation module is used to extract the data output by the complete model, select excellent and stable data results to conduct actual hydrogen fuel cell function test experiments, and perform qualification tests to obtain test results of hydrogen fuel cells used in power devices.

2. A hydrogen fuel cell comprehensive test energy management system according to claim 1, characterized in that: The data upload module includes: A hydrogen fuel information uploading unit is used to upload energy coefficient parameters generated by hydrogen fuel cell combustion, wherein the energy coefficient parameters include combustion point energy, energy density, higher calorific value, and lower calorific value; A power device information uploading unit, used to upload mechanical parameters of the power device to be powered by the hydrogen fuel cell, wherein the mechanical parameters of the power device include power and efficiency, hydrogen supply pressure and consumption, output voltage and current; The information statistics simulation calibration unit is used to count information parameters and perform simulation calibration to optimize information parameters and add parameter fluctuations of actual combustion and actual mechanical operation.

3. A hydrogen fuel cell comprehensive test energy management system according to claim 1, characterized in that: The power model building module includes: A parameter import unit, used for receiving and arranging imported data parameters; The model building unit builds a test information table based on the imported data parameters to build a basic model of the hydrogen energy battery energy supply model and the power unit simulated operation model; The test unit is intended to be run to test the running status of the basic model and to debug it according to the running status.

4. A hydrogen fuel cell comprehensive test energy management system according to claim 1, characterized in that: The output model constraint adjustment module includes: Output constraint unit, used to constrain the lower and upper limits of the output of the basic model; The power balance constraint unit is used to constrain the maximum and minimum values ​​of the rated power of the basic model.

5. A hydrogen fuel cell comprehensive test energy management system according to claim 1, characterized in that: The test scheme generation module comprises: A data statistics unit, used to collect multiple sets of data collected during the operation of the power model and perform statistics; Data correction output unit, used to correct and adjust the statistically completed data; A 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 rate statistics unit performs statistics based on the data obtained from the actual test experiments and generates a hydrogen fuel cell test report based on the results.

6. A hydrogen fuel cell comprehensive test energy management system according to claim 1, characterized in that: The power model building module and the output model constraint adjustment module are both based on deep learning artificial intelligence large model support.

7. A hydrogen fuel cell comprehensive test energy management method, using a hydrogen fuel cell comprehensive test energy management system as claimed in any one of claims 1 to 6, characterized in that: The following steps are involved: Step 1: Upload the information of the hydrogen fuel cell and the power device powered by the hydrogen fuel cell through the data upload module, perform statistical integration, and generate a test information table; Step 2: Use the information in the test information table to establish a basic model of the hydrogen energy battery energy supply model and the power device simulated operation model through the power model establishment module; Step 3: Constrain and adjust the basic model of the hydrogen energy battery energy supply model and the power unit simulated operation model through the output model constraint adjustment module. After the adjustment is completed, the complete model is output; Step 4: Run the power model and periodically change the input value of the power model to obtain array output data; Step 5: During the operation of the power model, the abnormal monitoring module is used to monitor whether the model is operating normally and detect abnormal factors of the model; Step 6: When an abnormality is detected, repeat steps 3 to 5 until there is no abnormality; Step 7: Extract the data output by the complete model through the test plan 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 used in power devices.

8. A hydrogen fuel cell comprehensive test energy management method according to claim 7, characterized in that: The energy coefficient parameters generated by the hydrogen fuel cell combustion uploaded in step 1 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 parameter fluctuations of actual combustion and actual mechanical operation.

9. A hydrogen fuel cell comprehensive test energy management method according to claim 7, characterized in that: The specific method of establishing the basic model in the step 2 is: receiving and arranging the imported data parameters, and establishing a test information table according to the imported data parameters to establish a basic model of the hydrogen energy battery energy supply model and the power unit simulated operation model, and conduct simulated operation tests, debug according to the simulated test results, and output the basic model after debugging.

10. A hydrogen fuel cell comprehensive test energy management method according to claim 7, characterized in that: The constraints and adjustments to the basic model in step 3 include: Set lower and upper limits on the output of the basic model; Constrain the maximum and minimum values ​​of the rated power of the base model.

Images