Fuel cell operation control system and control method based on vibration optimization
By integrating vibration monitoring, optimization algorithms, and active adjustment into a fuel cell control system, the problems of performance degradation and shortened lifespan of fuel cells under vibration environments have been solved, achieving real-time and precise vibration control and efficient operation.
Patent Information
- Application Number
- CN202511005379.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-21
- Publication Date
- 2025-11-11
AI Technical Summary
Existing fuel cells cannot actively adapt to vibration changes in a vibrating environment. Their vibration regulation precision is insufficient, and they cannot monitor and provide feedback on the impact of vibration on performance in real time. Existing vibration reduction measures cannot adjust vibration to the optimal operating range, resulting in performance degradation and shortened lifespan.
A vibration-optimized fuel cell operation control system is adopted, which integrates a vibration monitoring module, an optimal vibration range determination module, a control and decision-making module, a vibration adjustment module, and a performance monitoring module. It monitors vibration through high-precision sensors, uses machine learning and optimization algorithms to determine the optimal vibration range, and adjusts it in real time through active vibration reduction and excitation devices to form a closed-loop control.
It enables real-time and accurate monitoring and active adjustment of fuel cells in vibration environments, improving operational stability and reliability, extending service life, reducing maintenance costs, and enhancing energy output efficiency and system efficiency.
Smart Images
Figure CN120933398A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the technical field of fuel cells, and in particular to a vibration-optimized fuel cell operation control system and control method. Background Technology
[0002] As a highly efficient and clean energy conversion device, fuel cells have broad application prospects in mobile vehicles such as automobiles and ships, as well as distributed power generation systems. However, in actual operation, fuel cells face a complex vibration environment, primarily caused by the vehicle's movement, the operation of mechanical components, and external environmental interference. Vibration can significantly impact the performance and lifespan of fuel cells, leading to problems such as poor contact between the electrodes and current collectors, deformation of the membrane electrode assembly, and catalyst shedding, thereby reducing the fuel cell's output power and efficiency and shortening its lifespan.
[0003] Currently, although some vibration reduction measures exist, such as installing vibration damping pads and using flexible connections, these methods are mostly passive, only mitigating the impact of vibration to a certain extent, and cannot actively adjust the vibration to the optimal operating range of the fuel cell. Furthermore, existing vibration reduction measures typically cannot monitor the specific impact of vibration on fuel cell performance in real time, making precise vibration control difficult. Therefore, ensuring the efficient and stable operation of fuel cells in vibration environments remains a pressing technical challenge. Summary of the Invention
[0004] In view of the shortcomings of the prior art, the present invention provides a vibration-optimized fuel cell operation control system to solve many problems existing in the operation of traditional fuel cells in a vibration environment, such as the inability to actively adapt to vibration changes, insufficient vibration adjustment accuracy, inability to monitor and provide feedback on the impact of vibration on fuel cell performance in real time, and the inability of existing vibration reduction measures to adjust vibration to the optimal operating range of the fuel cell.
[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:
[0006] A vibration-optimized fuel cell operation control system, the control system comprising:
[0007] The vibration monitoring module includes multiple high-precision vibration sensors arranged at key locations in the fuel cell system. By arranging multiple high-precision vibration sensors at key locations in the fuel cell system, the vibration monitoring module of this application can comprehensively monitor the vibration of the environment in which the fuel cell is located. This helps to promptly detect vibration problems that may lead to performance degradation or damage to the fuel cell, and take measures in advance to optimize and adjust, avoid the occurrence of faults, thereby improving the reliability of fuel cell operation and ensuring its stable operation under various vibration environments.
[0008] The optimal vibration range determination module establishes a mapping database between fuel cell performance and vibration parameters based on extensive experimental data and simulation analysis. It then trains the database using machine learning algorithms to obtain a model that predicts fuel cell performance under current vibration conditions and determines the optimal vibration range for fuel cell operation. This module, based on the mapping database and machine learning algorithms, accurately predicts fuel cell performance under different vibration conditions and determines the optimal vibration range for fuel cell operation. This allows the fuel cell to achieve higher output power and a longer lifespan within this range, ensuring it remains in optimal operating condition and improving the efficiency and reliability of the entire power system. Through this scientific prediction and range determination method, the system can perform targeted vibration adjustments, avoiding the uncertainties caused by blind adjustments, thereby optimizing fuel cell operation and improving energy utilization efficiency.
[0009] The control and decision module receives data from the vibration monitoring module and the fuel cell performance monitoring and feedback module. Combining this data with the model and database in the optimal vibration range determination module, it uses optimization algorithms to calculate the optimal vibration regulation strategy and sends the calculated regulation parameters to the vibration regulation module via control commands to achieve real-time and precise vibration control. The intelligent decision-making and optimization capabilities of this control and decision module enable the system to react quickly based on real-time monitoring data, maintaining the fuel cell vibration state within the optimal range. This improves the system's dynamic response capability and control accuracy, thereby enhancing the efficiency and reliability of the entire power system and strengthening its overall performance.
[0010] The vibration regulation module includes an active vibration damping device that can adjust its own damping parameters in real time according to instructions issued by the control unit of the vibration regulation module, actively offsetting or reducing harmful vibrations, so that the vibration transmitted to the fuel cell is as close as possible to the optimal vibration range. The active vibration damping device in the vibration regulation module of this application has effective vibration suppression and precise control capabilities, reducing the negative impact of vibration on the performance and lifespan of the fuel cell, improving the operational stability and reliability of the fuel cell, extending the service life of the fuel cell, reducing maintenance costs and replacement frequency, and ensuring that the fuel cell is always in good operating condition.
[0011] A fuel cell performance monitoring and feedback module is provided to monitor key performance parameters of the fuel cell in real time and feed this data back to the control and decision-making module. This indirectly verifies the vibration regulation effect and provides a basis for the control and decision-making module to further optimize the vibration regulation strategy, forming a closed-loop vibration optimization control system. This closed-loop feedback mechanism enables the system to continuously optimize the vibration regulation strategy based on actual operating conditions, further improving the system's control accuracy and performance stability, achieving adaptive optimization control, and ensuring that the fuel cell is always in its optimal operating state.
[0012] As a preferred technical solution, the high-precision vibration sensor in the vibration monitoring module is used to monitor in real time at least one of the three-dimensional vibration parameters of the environment in which the fuel cell is located, including vibration acceleration, vibration frequency, vibration amplitude, and vibration direction.
[0013] As a preferred technical solution, the vibration monitoring module further includes a miniature piezoelectric sensor disposed at the location of a sensitive component inside the fuel cell. The miniature piezoelectric sensor is used to monitor changes in internal stress caused by vibration.
[0014] As a preferred technical solution, the mapping database in the optimal vibration range determination module covers the changes in at least one key performance parameter of the fuel cell, including output power, output voltage, current, efficiency, internal resistance, and electrode surface temperature, under different vibration parameters such as vibration frequency, amplitude, or vibration direction.
[0015] As a preferred technical solution, the control and decision-making module employs advanced optimization algorithms, including but not limited to particle swarm optimization (PSO) and genetic algorithms. The control and decision-making module of this application utilizes advanced optimization algorithms such as PSO and genetic algorithms, which possess strong global search capabilities and fast convergence speeds. These algorithms can quickly and accurately calculate the optimal vibration regulation strategy, improving the system's optimization decision-making efficiency, ensuring the scientific validity and effectiveness of the vibration regulation strategy, thereby achieving precise control of the fuel cell vibration state and further enhancing the overall system performance and operating efficiency.
[0016] As a preferred technical solution, the active vibration damping device in the vibration regulation module adopts an active electromagnetic vibration damper or a piezoelectric ceramic vibration damper. The active vibration damping device of this application has rapid dynamic response capability and efficient vibration damping effect. This device can quickly adjust the vibration damping parameters according to control commands, promptly offset or weaken harmful vibrations, reduce the impact of vibration on the fuel cell, improve the stability of fuel cell operation, and ensure that it maintains good performance under various vibration environments, thereby improving the overall performance and reliability of the system.
[0017] As a preferred technical solution, the vibration adjustment module further includes a vibration excitation device. This device applies appropriate vibration excitation to the fuel cell system when the actual vibration is too low or too high, deviating significantly from the optimal vibration range, thereby adjusting its vibration state to the optimal range. The vibration frequency and amplitude of the vibration excitation device in this application can be precisely controlled, operating only when needed to assist in optimizing vibration adjustment. This auxiliary vibration adjustment method increases the flexibility of vibration adjustment, better enabling it to cope with various complex vibration conditions, improving the system's adaptability and adjustment capabilities, ensuring the fuel cell is always in optimal operating condition, and further optimizing its operational performance.
[0018] As a preferred technical solution, the excitation device is a micro-vibration motor, whose vibration frequency and amplitude can be precisely controlled. The precise control capability of the excitation device in this application allows the micro-vibration motor to apply appropriate vibration excitation according to actual needs, avoiding over-excitation that could damage the fuel cell, while simultaneously improving the accuracy and reliability of vibration regulation. In this way, the vibration state of the fuel cell system can be more stably maintained within the optimal vibration range, thereby improving the effect of vibration regulation and further optimizing the operating performance of the fuel cell.
[0019] As a preferred technical solution, the fuel cell performance monitoring and feedback module can monitor at least one key performance parameter of the fuel cell in real time. The key performance parameters include, but are not limited to, output power, output voltage, current, efficiency, internal resistance, and electrode surface temperature.
[0020] Another aspect of the present invention is to provide a vibration-optimized fuel cell operation control method, wherein the control method employs the vibration-optimized fuel cell operation control system described above for vibration optimization, specifically including the following steps:
[0021] S1: Input sensing stage, the vibration parameters of the environment in which the fuel cell is located and the changes in internal stress are monitored in real time through the vibration monitoring module, and the monitoring data is transmitted to the control and decision module;
[0022] S2: Intelligent decision-making stage. The control and decision-making module determines the model and database in the module based on the received vibration monitoring data and fuel cell performance data, combined with the optimal vibration range, and uses optimization algorithms to calculate the optimal vibration regulation strategy. The calculated regulation parameters are then sent to the vibration regulation module through control commands.
[0023] S3: During the execution control phase, the vibration regulation module uses the active vibration damping device and the excitation device to perform real-time and precise control on the vibration of the fuel cell system based on the received regulation parameters, so that the fuel cell always operates in an environment close to the optimal vibration range.
[0024] S4: System operation and feedback phase. The fuel cell performance monitoring and feedback module monitors the key performance parameters of the fuel cell in real time and feeds these key performance parameters back to the control and decision module. The changes in key performance parameters indirectly verify the vibration regulation effect and provide a basis for the control and decision module to further optimize the vibration regulation strategy, thus forming a closed-loop control.
[0025] S5: In the dynamic optimization loop phase, the control and decision module dynamically adjusts the threshold range of the optimal vibration interval based on feedback data, optimizes the control algorithm weights, and realizes the system's adaptive learning and optimization.
[0026] The beneficial effects of this invention are:
[0027] This invention relates to a vibration-optimized fuel cell operation control system. By innovatively integrating multiple modules such as vibration monitoring, intelligent decision-making, vibration regulation, and performance feedback into the fuel cell system, it not only achieves real-time and accurate monitoring and active adjustment of the vibration state of the fuel cell operating environment, but also realizes dynamic optimization and closed-loop control of fuel cell performance. This design not only enhances the operational stability and reliability of the fuel cell in complex vibration environments, but also maintains its high energy output and long service life, contributing to improved efficiency and economy of the entire power system.
[0028] In summary, the vibration-optimized fuel cell operation control system and method of the present invention not only possess excellent vibration adaptability and performance stability, but also achieve adaptive optimization of the fuel cell operating state through intelligent adjustment strategies. It can meet the needs of efficient and stable operation of fuel cells in mobile vehicles such as automobiles and ships, as well as various distributed power generation systems, and has broad application prospects and significant economic and social benefits. Attached Figure Description
[0029] Figure 1 This is a schematic diagram of the working process of the vibration-optimized fuel cell operation control system of the present invention. Detailed Implementation
[0030] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.
[0031] Example 1
[0032] This embodiment is based on a vibration-optimized fuel cell operation control system, which includes a vibration monitoring module, a control and decision-making module, an optimal vibration range determination module, a vibration adjustment module, and a fuel cell performance monitoring and feedback module. The vibration monitoring module includes multiple high-precision vibration sensors arranged at key locations in the fuel cell system (such as around the stack and mounting brackets). The optimal vibration range determination module establishes a mapping database between fuel cell performance and vibration parameters based on extensive experimental data and simulation analysis. It then uses machine learning algorithms to train the data in the database to obtain a model that can predict the fuel cell performance under current vibration conditions. This model determines the optimal vibration range for fuel cell operation (when vibration parameters are within this range, the fuel cell can achieve higher output power and a longer service life). The control and decision-making module receives data from the vibration monitoring module and the fuel cell performance monitoring and feedback module, and combines this data with the optimal vibration range determination module. The module's model and database utilize optimization algorithms to calculate the optimal vibration regulation strategy. The calculated regulation parameters are then sent to the vibration regulation module via control commands to achieve real-time, precise vibration control. The vibration regulation module includes an active damping device that adjusts its damping parameters in real-time according to commands from the module's control unit, actively offsetting or reducing harmful vibrations to bring the vibration transmitted to the fuel cell as close as possible to the optimal vibration range. The fuel cell performance monitoring and feedback module monitors key performance parameters of the fuel cell in real-time and feeds this data back to the control and decision-making module, indirectly verifying the vibration regulation effect and providing a basis for further optimization of the vibration regulation strategy, thus forming a closed-loop vibration optimization control system.
[0033] In one embodiment, the high-precision vibration sensor in the vibration monitoring module is used to monitor in real time at least one of the three-dimensional vibration parameters of the environment in which the fuel cell is located, including vibration acceleration, vibration frequency, vibration amplitude, and vibration direction.
[0034] In one embodiment, the vibration monitoring module further includes a miniature piezoelectric sensor disposed at a sensitive component location inside the fuel cell, the miniature piezoelectric sensor being used to monitor changes in internal stress caused by vibration.
[0035] In one embodiment, the mapping database in the optimal vibration range determination module covers the changes in at least one key performance parameter of the fuel cell, including output power, output voltage, current, efficiency, internal resistance, and electrode surface temperature, under different vibration parameters of at least one vibration parameter of different vibration frequencies, amplitudes, or vibration directions.
[0036] In one embodiment, the active vibration damping device in the vibration regulation module is an active electromagnetic vibration damper or a piezoelectric ceramic vibration damper.
[0037] In one embodiment, the vibration adjustment module further includes an excitation device; the excitation device is used to apply appropriate vibration excitation to the fuel cell system when the actual vibration is too low or too high and deviates significantly from the optimal vibration range, so as to adjust its vibration state to the optimal range.
[0038] In one embodiment, the excitation device is a miniature vibration motor whose vibration frequency and amplitude can be precisely controlled.
[0039] In one embodiment, the control and decision-making module employs advanced optimization algorithms, including but not limited to particle swarm optimization and genetic algorithms.
[0040] In one embodiment, the fuel cell performance monitoring and feedback module can monitor at least one key performance parameter of the fuel cell in real time. The key performance parameters include, but are not limited to, output power, output voltage, current, efficiency, internal resistance, and electrode surface temperature. The module then feeds these performance parameters back to the control and decision module in a timely manner, providing a direct basis for optimizing the vibration adjustment strategy and forming an effective closed-loop control.
[0041] This embodiment is based on a vibration-optimized fuel cell operation control method. The control method uses the vibration-optimized fuel cell operation control system described above to perform vibration optimization operations, specifically including the following steps:
[0042] S1: Input sensing stage, the vibration parameters and / or internal stress changes of the environment in which the fuel cell is located are monitored in real time through the vibration monitoring module, and the monitoring data is transmitted to the control and decision module;
[0043] S2: Intelligent decision-making stage. The control and decision-making module determines the model and database in the module based on the received vibration monitoring data and fuel cell performance data, combined with the optimal vibration range, and uses optimization algorithms to calculate the optimal vibration regulation strategy. The calculated regulation parameters are then sent to the vibration regulation module through control commands.
[0044] S3: During the execution control phase, the vibration regulation module uses the active vibration damping device and the excitation device to perform real-time and precise control on the vibration of the fuel cell system based on the received regulation parameters, so that the fuel cell always operates in an environment close to the optimal vibration range.
[0045] S4: System operation and feedback phase. The fuel cell performance monitoring and feedback module monitors the key performance parameters of the fuel cell in real time and feeds these key performance parameters back to the control and decision module. The changes in key performance parameters indirectly verify the vibration regulation effect and provide a basis for the control and decision module to further optimize the vibration regulation strategy, thus forming a closed-loop control.
[0046] S5: In the dynamic optimization loop phase, the control and decision module dynamically adjusts the threshold range of the optimal vibration interval based on feedback data, optimizes the control algorithm weights, and realizes the system's adaptive learning and optimization.
[0047] Furthermore, the specific workflow for vibration optimization operations in the fuel cell operation control system based on vibration optimization in this application is as follows: Figure 1 As shown:
[0048] Phase 1: Input Perception Phase
[0049] Module: Vibration Monitoring Module
[0050] Function: The system uses a three-dimensional accelerometer deployed outside the fuel cell to collect real-time vibration data around the stack and at the support structure, including at least one vibration parameter among three-dimensional vibration acceleration, vibration frequency, vibration amplitude, and vibration direction. In another preferred embodiment, the vibration monitoring module further acquires internal material stress by placing a miniature piezoelectric sensor inside the battery.
[0051] Output: Fusion of multi-dimensional vibration characteristic data (including external vibration intensity and / or internal stress state).
[0052] Phase 2: Intelligent Decision-Making Phase
[0053] Modules: Control and Decision Module, Optimal Vibration Range Determination Module (Intelligent Decision → Model Parameter Optimization)
[0054] The main process is as follows:
[0055] Data fusion: Vibration monitoring data and current fuel cell performance parameters (output voltage, temperature, efficiency, etc.) are synchronously input into the control and decision-making module.
[0056] Model matching: Invoke a pre-trained machine learning model (such as a neural network) and combine it with a historical experimental database (which stores performance under different vibration conditions) to predict the impact of the current vibration on the fuel cell.
[0057] Optimization calculation: If the predicted vibration data exceeds the optimal vibration range, a dynamic calculation adjustment strategy is adopted using particle swarm optimization (PSO) or genetic algorithm (GA).
[0058] Output target adjustment parameters: one or more parameter values such as damper damping value and exciter frequency.
[0059] Phase 3: Execution Control Phase
[0060] Module: Vibration Adjustment Module
[0061] Judgment Logic (Vibration State Judgment Node):
[0062] Case 1: Vibration intensity > upper limit (i.e., the upper limit of the threshold range of the optimal vibration zone)
[0063] Triggering active vibration damping devices (such as active electromagnetic vibration dampers): High-frequency / large-amplitude vibrations are counteracted by reverse vibration waves. The damper stiffness is dynamically adjusted to reduce the vibration energy transmitted to the fuel cell.
[0064] Case 2: Vibration intensity < lower limit (i.e., the lower limit of the threshold range of the optimal vibration zone)
[0065] Activate the excitation device (optional): Apply active vibration at a specific frequency. This compensates for insufficient vibration and prevents poor electrode contact or uneven distribution of reactant gases.
[0066] Scenario 3: Vibration is within the optimal range
[0067] Maintain the current state, making only periodic minor adjustments to avoid deviation.
[0068] Phase 4: System Operation and Feedback Phase
[0069] Module: Fuel Cell Performance Monitoring and Feedback Module (Fuel Cell System → Closed-Loop Feedback)
[0070] The main execution process is as follows:
[0071] After vibration adjustment, the fuel cell enters a stable operating state and outputs power.
[0072] Fuel cell performance monitoring and feedback module (i.e. Figure 1 The performance monitoring module shown collects data in real time:
[0073] Key performance indicators (KPIs): output power, output voltage, current, efficiency, internal resistance, and electrode surface temperature. In one of these implementations, the system operation and feedback phase may include one or more of the above key performance indicators.
[0074] Anomaly detection: If the electrode temperature rises suddenly or the efficiency drops suddenly, an emergency protection mechanism is triggered.
[0075] Data closed loop: Performance data is fed back to the database to update historical records.
[0076] The machine learning model is retrained based on the new data to optimize the accuracy of vibration interval prediction (adaptive learning).
[0077] Phase 5: Dynamic Optimization Loop
[0078] Module: Control and Decision Module (Database Update → Model Parameter Optimization)
[0079] The core mechanisms mainly include:
[0080] The system automatically compares each adjustment cycle (e.g., 10 seconds) completed.
[0081] Actual performance improvement vs. model prediction (i.e., comparing the actual performance improvement with the model prediction value of the optimal vibration range determination module).
[0082] Vibration adjustment effect vs. expected target (i.e., comparing the vibration adjustment effect with the expected target, where the expected target is to achieve the optimal vibration range and realize the best power output).
[0083] Dynamic correction content: Adjust the threshold range of the optimal vibration zone and optimize the weight of the control algorithm (e.g., vibration reduction priority is higher than excitation).
[0084] The vibration-optimized fuel cell operation control system of this invention has significant advantages and a wide range of applications. First, the system significantly improves the operational stability and performance output of fuel cells in vibration environments such as automobiles and ships, ensuring that the fuel cell is always in optimal working condition, thereby improving the efficiency and reliability of the entire power system. Second, by optimizing vibration control, the system effectively extends the service life of the fuel cell, reduces component damage and performance degradation caused by vibration, and thus lowers maintenance costs and replacement frequency. Furthermore, the system is adaptive and intelligent, automatically adjusting vibration regulation strategies according to different operating conditions and vibration environments, demonstrating broad application adaptability. Simultaneously, through optimized vibration control, the system helps reduce energy loss during fuel cell operation, improving energy utilization efficiency and meeting the development needs of new energy power systems. In summary, this invention can be widely applied to various types of automobiles (such as fuel cell vehicles), ships (such as fuel cell submarines and fuel cell passenger ships) that use fuel cells as a power source or auxiliary power source, as well as other fuel cell power generation systems operating in vibration environments, offering significant economic and social benefits.
[0085] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.
Claims
1. A fuel cell operation control system based on vibration optimization, characterized in that, The control system includes: A vibration monitoring module, comprising multiple high-precision vibration sensors arranged at key locations in the fuel cell system; The optimal vibration range determination module establishes a mapping database between fuel cell performance and vibration parameters based on a large amount of experimental data and simulation analysis. It then uses machine learning algorithms to train the data in the database to obtain a model that can predict the performance of the fuel cell under the current vibration conditions. The optimal vibration range for fuel cell operation is determined by this model. The control and decision module receives data transmitted from the vibration monitoring module and the fuel cell performance monitoring and feedback module, combines the model and database in the optimal vibration range determination module, uses optimization algorithms to calculate the optimal vibration adjustment strategy, and sends the calculated adjustment parameters to the vibration adjustment module through control commands to achieve real-time and precise control of vibration. A vibration regulation module, comprising an active vibration damping device, which adjusts its own vibration damping parameters in real time according to instructions from the control unit of the vibration regulation module, actively offsetting or reducing harmful vibrations, so that the vibration transmitted to the fuel cell is as close as possible to the optimal vibration range; and The fuel cell performance monitoring and feedback module is used to monitor the key performance parameters of the fuel cell in real time and feed this data back to the control and decision module, indirectly verifying the vibration regulation effect and providing a basis for the control and decision module to further optimize the vibration regulation strategy, thus forming a closed-loop vibration optimization control system.
2. The vibration-optimized fuel cell operation control system as described in claim 1, characterized in that, The high-precision vibration sensor in the vibration monitoring module is used to monitor in real time at least one of the three-dimensional vibration parameters of the fuel cell environment, including vibration acceleration, vibration frequency, vibration amplitude, and vibration direction.
3. The vibration-optimized fuel cell operation control system as described in claim 1, characterized in that, The vibration monitoring module also includes miniature piezoelectric sensors located at sensitive component positions inside the fuel cell. These miniature piezoelectric sensors are used to monitor changes in internal stress caused by vibration.
4. The fuel cell operation control system based on vibration optimization as described in claim 1, characterized in that, The mapping database in the optimal vibration range determination module covers the changes in at least one key performance parameter of the fuel cell, including output power, output voltage, current, efficiency, internal resistance, and electrode surface temperature, under different vibration parameters such as vibration frequency, amplitude, or vibration direction.
5. The vibration-optimized fuel cell operation control system as described in claim 1, characterized in that, The control and decision-making module employs advanced optimization algorithms, including but not limited to particle swarm optimization and genetic algorithms.
6. The fuel cell operation control system based on vibration optimization as described in claim 1, characterized in that, The active vibration damping device in the vibration regulation module adopts an active electromagnetic vibration damper or a piezoelectric ceramic vibration damper.
7. The vibration-optimized fuel cell operation control system as described in claim 1, characterized in that, The vibration adjustment module also includes an excitation device; the excitation device is used to apply appropriate vibration excitation to the fuel cell system when the actual vibration is too low or too high and deviates significantly from the optimal vibration range, so as to adjust its vibration state to the optimal range.
8. The vibration-optimized fuel cell operation control system as described in claim 7, characterized in that, The excitation device is a miniature vibration motor, whose vibration frequency and amplitude can be precisely controlled.
9. The vibration-optimized fuel cell operation control system as described in claim 1, characterized in that, The fuel cell performance monitoring and feedback module can monitor at least one key performance parameter of the fuel cell in real time. The key performance parameters include, but are not limited to, output power, output voltage, current, efficiency, internal resistance, and electrode surface temperature.
10. A fuel cell operation control method based on vibration optimization, characterized in that, The control method employs a vibration-optimized fuel cell operation control system as described in any one of claims 1-9 to perform vibration optimization operations, specifically including the following steps: S1: Input sensing stage, the vibration parameters of the environment in which the fuel cell is located and the changes in internal stress are monitored in real time through the vibration monitoring module, and the monitoring data is transmitted to the control and decision module; S2: Intelligent decision-making stage. The control and decision-making module determines the model and database in the module based on the received vibration monitoring data and fuel cell performance data, combined with the optimal vibration range, and uses optimization algorithms to calculate the optimal vibration regulation strategy. The calculated regulation parameters are then sent to the vibration regulation module through control commands. S3: During the execution control phase, the vibration regulation module uses the active vibration damping device and the excitation device to perform real-time and precise control on the vibration of the fuel cell system based on the received regulation parameters, so that the fuel cell always operates in an environment close to the optimal vibration range. S4: System operation and feedback phase. The fuel cell performance monitoring and feedback module monitors the key performance parameters of the fuel cell in real time and feeds these key performance parameters back to the control and decision module. The changes in key performance parameters indirectly verify the vibration regulation effect and provide a basis for the control and decision module to further optimize the vibration regulation strategy, thus forming a closed-loop control. S5: In the dynamic optimization loop phase, the control and decision module dynamically adjusts the threshold range of the optimal vibration interval based on feedback data, optimizes the control algorithm weights, and realizes the system's adaptive learning and optimization.