High-power-density hydrogen fuel cell power management integrated system

Abstract

The invention discloses a high-power-density hydrogen fuel cell power management integrated system, which relates to the technical field of power management and comprises a data recording module, a fault detection module, a fault diagnosis module, an early warning management module, a user interface and an integrated management module. The data recording module is used for recording all key parameters of the hydrogen fuel cell, including voltage, current, temperature, pressure and gas flow; according to the invention, through a data model and a communication protocol adopted by the integrated management module, efficient collaboration among modules in the system is ensured, and the modularized design enables the system to have good expansibility, so that new technologies can be easily integrated or existing functions can be upgraded to adapt to constantly changing application requirements; the system ensures continuous optimization and upgrading of the integrated management module through continuous performance testing and evaluation, and the intelligent level of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power management, and in particular to a high power density hydrogen fuel cell power management integrated system. Background Art

[0002] In the field of high power density hydrogen fuel cell power management systems, traditional power management technologies face multiple challenges. The main problems faced by integrated management modules include data integration difficulties, insufficient real-time data processing capabilities, low accuracy of fault detection and diagnosis, poor timeliness of early warning systems, complex and unintuitive user interfaces, and limitations in system scalability and security. Once problems with integrated management occur, the performance and reliability of the system are greatly limited, affecting user experience and maintenance efficiency.

[0003] In view of the above problems, there is an urgent need for a power management system with high integration and automation to improve the operating efficiency and reliability of hydrogen fuel cells. The ideal system should be able to automatically record key parameters, monitor system status in real time, detect and diagnose faults quickly and accurately, and provide timely warnings. In addition, the system also requires a user-friendly interface that allows operators to easily monitor system status, receive fault information and warnings, and execute control commands. In order to achieve these goals, it is necessary to develop an integrated management module that can integrate multiple functional modules such as data recording, fault detection, fault diagnosis, warning management, and user interaction, and optimize the overall system performance through efficient data flow and control command management.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] The purpose of the present invention is to solve the problem of targeted management and verification of the integrated management module in the existing high power density hydrogen fuel cell power management system, and to propose a high power density hydrogen fuel cell power management integrated system.

[0006] The purpose of the present invention can be achieved through the following technical solutions: High power density hydrogen fuel cell power management integrated system, including: Data logging module, used to record all key parameters of hydrogen fuel cells, including voltage, current, temperature, pressure and gas flow; A fault detection module is used to detect any abnormality or parameters that deviate from the normal operating range in the data in the data recording module; A fault diagnosis module is used to analyze the abnormal parameters analyzed by the fault detection module and determine the cause of the fault; The early warning management module is used to integrate the data analyzed by the fault detection module and the fault diagnosis module, and issue targeted early warnings according to the cause of the fault; User interface, used to provide an interface for operators to interact with the system, displaying system status, fault information, warnings and control commands; The integrated management module is used to integrate the operations of all modules and analyze the performance of the integrated management module.

[0007] Furthermore, the specific process of the integrated management module integrating the operations of all modules is as follows: First, plan the interfaces and data exchange formats between different modules, standardize and unify the data models for data sharing and exchange between different modules; Preset communication protocols and standards between different modules; Integrate the data recording module to ensure that the integrated management module accesses all data in the data recording module and performs data synchronization to ensure data consistency and real-time performance; Integrate the fault detection module, receive the abnormality report from the fault detection module, trigger the corresponding processing flow, and coordinate the fault diagnosis module to analyze the abnormality; Integrated fault diagnosis module, receives fault diagnosis results, and executes the early warning strategy of the early warning management module according to the results, and adjusts system parameters or performs maintenance tasks according to the fault diagnosis results; Integrated early warning management module manages the sending of early warning signals according to fault diagnosis results and early warning strategies, ensuring that early warning information can be conveyed to the user interface in a timely and accurate manner; Integrated user interface, ensuring that the user interface displays all information controlled by the integrated management module, including real-time data, fault information and warnings, receives control commands input by users through the interface, and executes corresponding system operations; Test the integrated management module and collect test parameters to verify the performance of the integrated management module.

[0008] Furthermore, the specific operation steps of collecting test parameters in the integrated management module to verify the performance of the integrated management module are as follows: The test parameters include: Response time: collect the time points when the fault detection module analyzes abnormal parameters and the early warning management module triggers the early warning, and calculate the time difference. After several event tests, the average time difference is obtained and recorded as the response judgment value. This response judgment value is used as the standard to measure the response time of the integrated management module; Data synchronization delay: collects the time required for data transmission between different modules, and calculates the average time required for data transmission between every two modules, which is recorded as the data delay value. This data delay value is used as the standard for measuring the data synchronization delay of the integrated management module. Error rate: Count the number of errors that occur within a preset time period, including communication errors and data processing errors. The ratio of the number of errors to the length of the preset time period is normalized and calculated and recorded as the error evaluation value. This error evaluation value is used as the error rate standard for measuring the integrated management module. Communication efficiency: Measure the communication efficiency between modules, including communication time and packet loss rate. After normalizing the obtained communication time and packet loss rate, establish two spherical models with the communication time and packet loss rate as the radius of the two spheres, preset a correction distance, and use this correction distance as the distance between the two sphere centers. The preset correction distance is less than the communication time and packet loss rate. Make the two spherical models intersect according to the correction distance, analyze the surface area of ​​the two intersecting spherical models, and record it as the difference value. Calculate all the difference values ​​between every two modules, and calculate the average value, which is recorded as the average value. Use this average value as the standard for measuring the communication efficiency between the modules of the integrated management module. The obtained response judgment value, delay value, error evaluation value and average value are normalized and then weighted summed to obtain a performance evaluation value, which is used as a standard for measuring the performance of the integrated management module; The performance evaluation value is compared with a preset performance evaluation threshold value, and when the performance evaluation value is greater than the preset performance evaluation threshold value, it is determined that the performance of the integrated management module does not meet the standard; The analysis parameters of the response judgment value, delay value, error evaluation value and average value are then traced back to determine the parameters that are lower than the preset standards, and targeted optimization is performed on the parameters that are lower than the standards so that the performance of the integrated management module reaches the preset standards.

[0009] Furthermore, the specific operation steps of the data recording module to record all key parameters of the hydrogen fuel cell are as follows: Determine the data to be recorded and the accuracy, frequency and duration of data recording, and select the corresponding sensor according to the determined parameters; Then select the corresponding data acquisition hardware, including data acquisition cards or modules, to ensure that the data acquisition hardware is compatible with the selected sensor and supports the required data acquisition frequency; Select software code to implement data reading from sensors to data acquisition hardware, determine the corresponding data storage format and database, and preset database mode to support data storage and retrieval in colleges and universities; Preprocess the collected data through filtering and denoising data preprocessing algorithms to improve data quality, and integrate the preprocessing function into the data acquisition software; The collected data is written into the database in real time, and the continuity and integrity of the recorded data are ensured through the preset data recording process. Through API or query tools, users are allowed to access and retrieve data in the database.

[0010] Furthermore, the specific operation steps of the fault detection module to detect any abnormality or parameters deviating from the normal operating range in the data in the data recording module are as follows: First, define the normal range interval for each monitoring parameter, which is set based on the manufacturer's specifications and the system's historical performance data; Identify anomalies in the collected data through anomaly identification algorithms, which include threshold checking and trend analysis; The results of the trend analysis are compared with the results of the threshold check. If both analysis methods indicate an abnormality, the parameter is finally determined to be abnormal. Through the preset data stream, the fault detection module receives and analyzes data in real time, and sets an alarm threshold for each parameter. When the real-time parameter data exceeds the preset alarm threshold, an alarm is triggered; Determine the triggered alarm level based on the abnormal level of real-time parameters; Integrate the output of the fault detection module into the user interface for operators to view system status and alarms; When a fault occurs, a detailed event log is recorded, including time, parameter value and alarm type, and the recorded log is sent to the data recording module for storage.

[0011] Furthermore, the specific operation steps of the fault detection module to perform abnormality identification on the collected data through the abnormality identification algorithm are as follows: The threshold checking step includes: The acquired parameter data is compared with the defined normal range of the parameter. When the real-time value of a parameter exceeds the defined normal range of the parameter, the parameter is marked as abnormal. The steps of trend analysis include: Collect parameter data within a preset time range and use time series analysis methods, including moving average or exponential smoothing, to identify the trend of parameter values. If the identified trend shows an abnormal rise or fall, or the rate of change of the trend is abnormal, it is marked as abnormal; Abnormal judgment is made by defining the normal interval of the rising or falling slope and the normal interval of the trend change speed.

[0012] Furthermore, the process of the fault detection module determining the triggered alarm level according to the abnormal level of the real-time parameter is as follows: The judgment standard of the abnormal level of real-time parameters is to calculate the difference between the real-time parameters and the preset threshold value, and record it as the difference value, and calculate the ratio of the difference to the median value of the preset normal slope interval by taking the difference between the slope of the parameter trend rising or falling and the median value, and record it as the trend score value; After normalizing the obtained difference value and trend score value, a cone model is established with the difference value as the base circle radius and the trend score value as the height. The surface area of ​​the cone model is analyzed and recorded as the comprehensive score, which is used to measure the abnormality of the real-time parameters. The obtained comprehensive score is compared with several preset comprehensive score intervals, wherein the preset comprehensive score intervals correspond to different abnormal levels. When the comprehensive score interval to which the comprehensive score belongs is determined, the abnormal level of the parameter is determined, and the triggered alarm level is determined according to the abnormal level of the parameter.

[0013] Furthermore, the fault diagnosis module analyzes the abnormal parameters analyzed by the fault detection module to determine the cause of the fault as follows: Receive specific information about abnormal parameters from the fault detection module, including the time, value and duration of the abnormal parameters, analyze historical data of the abnormal parameters, including data under normal and abnormal conditions, and look for emerging patterns or trends; According to the working principle of the system and historical failure cases, establish a fault model, including the fault type and the corresponding parameter changes when different types of faults occur, and apply diagnostic algorithms, including expert systems, machine learning models or decision trees, to analyze abnormal parameters and match known fault patterns; Based on the results of the diagnostic algorithm, infer the cause of the failure, including hardware failure, operational error, or environmental factors, and then verify the failure hypothesis through additional testing or data collection, including stress testing specific components or checking log files; Determine the exact location where the fault occurred, including the sensor, actuator or system component, generate a diagnostic report including abnormal parameters, fault cause, fault location and solution, and integrate the diagnostic results into the user interface for operators to access fault information and recommended solutions.

[0014] Furthermore, the warning management module issues targeted warnings according to the cause of the fault. The specific process is as follows: First, the fault data is integrated, and the abnormal parameter data, including the abnormal type, time and duration, are received from the fault detection module. Then, the fault cause, impact and suggested preliminary measures are received from the fault diagnosis module. According to the abnormal level of parameters determined in the fault detection module, the warning level is obtained, including warning, severe warning and emergency. According to the warning level, the warning signal is preset, including visual, auditory and notification methods; Establish an automated early warning notification mechanism. When the fault detection module finally determines that the parameters are abnormal, it will automatically issue an early warning based on the fault cause diagnosed by the fault diagnosis module, and integrate the fault data to convey it to the operator. Develop response plans for different types of warnings, including preventive measures, emergency operating procedures and maintenance guidelines, and ensure that operators understand and are able to execute these response plans; Test the early warning management module to ensure that it can correctly issue early warnings under various fault conditions and verify the response time and accuracy of the early warning system.

[0015] Furthermore, the user interface provides an interface for operators to interact with the system, and the specific steps of displaying system status, fault information, warnings and control commands are as follows: First, determine the operator's needs, including the parameters to be monitored, the tasks to be performed, and the preferred interaction methods, and determine the type of information that the user interface needs to display, including real-time data, historical data, fault information, and early warning signals; Then determine the layout of the user interface, including how to organize information, including the use of dashboards, charts, lists, and maps, and determine the corresponding interactive elements, including buttons, sliders, drop-down menus, and text boxes; Integrated early warning management module integrates the output of fault detection and early warning management into the user interface, ensuring that operators pay attention to key information through fault and early warning prompts; Provides an interface for inputting control commands, including starting, stopping, and adjusting parameters, implements user login and authentication functions, and provides different levels of access control based on user roles and permissions.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention realizes comprehensive optimization of the hydrogen fuel cell power management system through an integrated management module, significantly improving the performance and reliability of the system. Through the real-time monitoring and data recording modules, the system can continuously track key parameters, ensuring accurate grasp of the battery status. The efficient coordination of the fault detection and diagnosis modules enables the system to quickly identify and locate abnormal situations, thereby greatly reducing the fault response time. The timely intervention of the early warning management module further prevents potential system failures and ensures the stable operation of the power system. The humanized design of the user interface greatly optimizes the user experience of operators. Through the intuitive interface layout and interactive elements, operators can easily monitor the system status, receive fault and warning information, and execute necessary control commands. The automation characteristics of the integrated management module reduce the reliance on manual operation, reduce the complexity of operation, and improve maintenance efficiency. In the present invention, the integrated management module adopts advanced data models and communication protocols to ensure efficient collaboration among modules within the system. The modular design enables the system to have good scalability and can easily integrate new technologies or upgrade existing functions to adapt to changing application requirements. The system ensures continuous optimization and upgrading of the integrated management module through continuous performance testing and evaluation, thereby improving the intelligence level of the system. These features work together to make the high power density hydrogen fuel cell power management integrated system of the present invention an efficient, reliable and easy-to-use power management solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings; Figure 1 This is the overall system block diagram of the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] It should be understood that the terms "include" and "comprising" used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0020] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the disclosure. As used in this disclosure and claims, the singular forms of "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in this disclosure and claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0021] like Figure 1 As shown, a high power density hydrogen fuel cell power management integrated system includes a data recording module, a fault detection module, a fault diagnosis module, a warning management module, a user interface and an integrated management module; The data recording module is used to record all key parameters of the hydrogen fuel cell, including voltage, current, temperature, pressure, gas flow, etc.; determine the data to be recorded and the accuracy, frequency and duration of the data recording, select the corresponding sensor according to the determined parameters, and consider the accuracy, frequency and duration of the determined data recording when selecting the sensor to ensure that the requirements are met; Then select the corresponding data acquisition hardware, such as data acquisition cards or modules, to ensure that the data acquisition hardware is compatible with the selected sensors and supports the required data acquisition frequency; select software code to realize data reading from sensors to data acquisition hardware, determine the corresponding data storage format and database, and preset the database mode to support data storage and retrieval in colleges and universities; The collected data is preprocessed through filtering and denoising data preprocessing algorithms to improve data quality, and the preprocessing function is integrated into the data acquisition software; the collected data is written into the database in real time, and the continuity and integrity of the recorded data are ensured through the preset data recording process, allowing users to access and retrieve data in the database through API or query tools.

[0022] The fault detection module is used to detect any abnormality or parameters that deviate from the normal operating range in the data in the data recording module; First, define the normal range interval for each monitoring parameter, which is set based on the manufacturer's specifications and the system's historical performance data; identify anomalies in the collected data through an anomaly recognition algorithm, which includes threshold checking and trend analysis; The threshold checking step includes: comparing the acquired parameter data with the defined normal range of the parameter, and when the real-time value of the parameter exceeds the defined normal range of the parameter, marking the parameter as abnormal; the trend analysis step includes: collecting parameter data within a preset time range, using time series analysis methods such as moving average or exponential smoothing to identify the trend of the parameter value, and marking it as abnormal if the identified trend shows an abnormal rise or fall, or the trend change rate is abnormal; wherein the analysis is performed by defining the normal interval of the rise or fall slope and the normal interval of the trend change speed; The results of the trend analysis are compared with the results of the threshold check. If both analysis methods indicate an abnormality, the parameter is finally determined to be abnormal. Through the preset data stream, the fault detection module receives and analyzes the data in real time, and sets an alarm threshold for each parameter. When the real-time parameter data exceeds the preset alarm threshold, an alarm is triggered. According to the abnormal level of the real-time parameters, the triggered alarm level is determined. The judgment standard of the abnormal level of the real-time parameters is to calculate the difference between the real-time parameters and the preset threshold value, and record it as the differential value, and the difference between the slope of the parameter trend rising or falling and the median value of the preset normal slope interval, and calculate the ratio of the difference to the median value, and record it as the trend score; after the obtained differential value and trend score are normalized, a cone model is established with the differential value as the base circle radius and the trend score as the height, and the surface area of ​​the cone model is analyzed and recorded as the comprehensive score, and this comprehensive score is used as a measure of the abnormal degree of the real-time parameters; and the obtained comprehensive score is compared with several preset comprehensive score intervals, wherein the preset several comprehensive score intervals correspond to different abnormal levels, and when the comprehensive score interval to which the comprehensive score belongs is determined, the abnormal level of the parameter is determined, and the triggered alarm level is determined according to the abnormal level of the parameter.

[0023] Integrate the output of the fault detection module into the user interface so that operators can easily view system status and alarms; record detailed event logs when a fault occurs, including time, parameter values, alarm type, etc., and send the recorded logs to the data logging module for storage.

[0024] The fault diagnosis module is used to analyze the abnormal parameters analyzed by the fault detection module and determine the cause of the fault; Receive specific information about abnormal parameters from the fault detection module, including the time, value and duration of the abnormal parameters, analyze historical data of abnormal parameters, including data in normal and abnormal states, and look for patterns or trends; establish a fault model based on the system's working principle and historical fault cases, including fault types and corresponding parameter changes when different types of faults occur, and apply diagnostic algorithms, including expert systems, machine learning models or decision trees, to analyze abnormal parameters and match known fault patterns; Based on the results of the diagnostic algorithm, the cause of the failure is inferred, including hardware failure, operational error or environmental factors, and the failure hypothesis is verified through additional testing or data collection, including stress testing of specific components or checking log files; the exact location where the failure occurred, such as a specific sensor, actuator or system component, is determined, and a detailed diagnostic report is generated, including abnormal parameters, cause of failure, fault location and possible solutions, and the diagnostic results are integrated into the user interface so that operators can easily access fault information and recommended solutions.

[0025] The early warning management module is used to integrate the data analyzed by the fault detection module and the fault diagnosis module, and issue targeted early warnings according to the cause of the fault; First, the fault data is integrated, and abnormal parameter data, including the abnormal type, time and duration, is received from the fault detection module. Then, the cause of the fault, the impact and the suggested preliminary measures are received from the fault diagnosis module. The warning level is obtained according to the abnormal parameter level determined in the fault detection module, including warning, severe warning and emergency. According to the warning level, the warning signal is preset, including visual (such as indicator light, screen prompt), auditory (such as alarm sound) and other notification methods. An automated early warning notification mechanism is established. When the fault detection module ultimately determines that a parameter is abnormal, an early warning is automatically issued in combination with the fault cause diagnosed by the fault diagnosis module, and the integrated fault data is transmitted to the operator. Response plans are formulated for different types of early warnings, including preventive measures, emergency operating procedures, and maintenance guidelines to ensure that operators understand and are able to execute these response plans. The early warning management module is tested to ensure that it can correctly issue early warnings under various fault conditions, and to verify the response time and accuracy of the early warning system.

[0026] The user interface is used to provide an interface for operators to interact with the system, displaying system status, fault information, warnings, and control commands; First, the operator's needs are determined, including the parameters to be monitored, the tasks to be performed, and the preferred interaction methods. Based on this, the type of information that needs to be displayed on the user interface is determined, including real-time data, historical data, fault information, and warning signals. Then the layout of the user interface is determined, including the organization of information, such as using dashboards, charts, lists, and maps, and the corresponding interactive elements are determined, including buttons, sliders, drop-down menus, and text boxes. The integrated early warning management module integrates the output of fault detection and early warning management into the user interface, ensuring that operators pay attention to key information through fault and early warning prompts; provides an interface for inputting control commands, including starting, stopping and adjusting parameters, realizes user login and authentication functions, and provides different levels of access control according to user roles and permissions.

[0027] The integrated management module is used to integrate the operations of all modules to achieve effective management of data flow and control commands; Plan the interfaces and data exchange formats between different modules, standardize and unify the data models for data sharing and exchange between different modules; preset the communication protocols and standards between different modules, such as using APls, message queues or data sharing; The integrated data recording module ensures that the integrated management module accesses all data of the data recording module and implements a data synchronization mechanism to ensure data consistency and real-time performance; the integrated fault detection module receives the abnormality report from the fault detection module, triggers the corresponding processing flow, and coordinates the fault diagnosis module to analyze the abnormality; the integrated fault diagnosis module receives the fault diagnosis results, and executes the early warning strategy of the early warning management module according to the results, and adjusts system parameters or performs maintenance tasks according to the fault diagnosis results; the integrated early warning management module manages the sending of early warning signals according to the fault diagnosis results and early warning strategies, and ensures that the early warning information can be transmitted to the user interface in a timely and accurate manner; the integrated user interface ensures that the user interface can display all information controlled by the integrated management module, including real-time data, fault information, early warnings, etc., receives control commands entered by the user through the interface, and performs corresponding system operations; Test the integrated management module and collect test parameters to verify the performance of the integrated management module. The test parameters include: Response time: collect the time points when the fault detection module analyzes abnormal parameters and the warning management module triggers the warning, and calculate the time difference. After multiple event tests, the average time difference is obtained and recorded as the response value. This response value is used as a standard to measure the response time of the integrated management module; Data synchronization delay: collect the time required for data transmission between different modules, and calculate the average time required for data transmission between each two modules, recorded as the data delay value, and use this data delay value as a standard to measure the data synchronization delay of the integrated management module; Error rate: count the number of errors that occur within the preset time period, including communication errors and data processing errors, calculate the ratio of the number of errors to the length of the preset time period, and record it as the error evaluation value, and use this error evaluation value as a measure Error rate standard of integrated management module; Communication efficiency: Measure the communication efficiency between modules, including communication time and packet loss rate. After normalizing the obtained communication time and packet loss rate, establish two spherical models with communication time and packet loss rate as the radius of the two spheres, preset a correction distance, and use this correction distance as the distance between the two sphere centers, and the preset correction distance is less than the communication time and packet loss rate. Make the two spherical models intersect according to the correction distance, analyze the surface area of ​​the two intersecting spherical models, and record it as the difference value, calculate all the difference values ​​between every two modules, and calculate the average value, which is recorded as the average value. Use this average value as the standard for measuring the communication efficiency between modules of the integrated management module; The obtained response value, delay value, error value and average value are normalized and then input into the following formula: To get the performance evaluation value XPZ, where PU, YS, CL and FP are the response value, delay value, error value and average value respectively. The preset weight coefficients are respectively the response judgment value, the delay value, the error evaluation value and the average value, the obtained performance evaluation value XPZ is used as the standard for measuring the performance of the integrated management module, and the performance evaluation value XPZ is compared with the preset performance evaluation threshold; When the performance evaluation value XPZ is greater than the preset performance evaluation threshold, it is judged that the performance of the integrated management module does not meet the standard. The analysis parameters of the response value, delay value, error evaluation value and average value are then traced back to determine the parameters that are below the standard. Targeted optimization is performed on the parameters that are below the standard to make the performance of the integrated management module meet the preset standard.

[0028] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. High power density hydrogen fuel cell power management integrated system, characterized in that: include: Data logging module, used to record all key parameters of hydrogen fuel cells, including voltage, current, temperature, pressure and gas flow; A fault detection module is used to detect any abnormality or parameters that deviate from the normal operating range in the data in the data recording module; A fault diagnosis module is used to analyze the abnormal parameters analyzed by the fault detection module and determine the cause of the fault; The early warning management module is used to integrate the data analyzed by the fault detection module and the fault diagnosis module, and issue targeted early warnings according to the cause of the fault; User interface, used to provide an interface for operators to interact with the system, displaying system status, fault information, warnings and control commands; The integrated management module is used to integrate the operations of all modules and analyze the performance of the integrated management module.

2. The high power density hydrogen fuel cell power management integrated system according to claim 1, characterized in that: The specific process of the integrated management module integrating the operations of all modules is as follows: First, plan the interfaces and data exchange formats between different modules, standardize and unify the data models for data sharing and exchange between different modules; Preset communication protocols and standards between different modules; Integrate the data recording module to ensure that the integrated management module accesses all data in the data recording module and performs data synchronization to ensure data consistency and real-time performance; Integrate the fault detection module, receive the abnormality report from the fault detection module, trigger the corresponding processing flow, and coordinate the fault diagnosis module to analyze the abnormality; Integrated fault diagnosis module, receives fault diagnosis results, and executes the early warning strategy of the early warning management module according to the results, and adjusts system parameters or performs maintenance tasks according to the fault diagnosis results; Integrated early warning management module manages the sending of early warning signals according to fault diagnosis results and early warning strategies, ensuring that early warning information can be conveyed to the user interface in a timely and accurate manner; Integrated user interface, ensuring that the user interface displays all information controlled by the integrated management module, including real-time data, fault information and warnings, receives control commands input by users through the interface, and executes corresponding system operations; Test the integrated management module and collect test parameters to verify the performance of the integrated management module.

3. The high power density hydrogen fuel cell power management integrated system according to claim 2, characterized in that: The specific operation steps of collecting test parameters in the integrated management module to verify the performance of the integrated management module are as follows: The test parameters include: Response time: collect the time points when the fault detection module analyzes abnormal parameters and the early warning management module triggers the early warning, and calculate the time difference. After several event tests, the average time difference is obtained and recorded as the response judgment value. This response judgment value is used as the standard to measure the response time of the integrated management module; Data synchronization delay: collects the time required for data transmission between different modules, and calculates the average time required for data transmission between every two modules, which is recorded as the data delay value. This data delay value is used as the standard for measuring the data synchronization delay of the integrated management module. Error rate: Count the number of errors that occur within a preset time period, including communication errors and data processing errors. The ratio of the number of errors to the length of the preset time period is normalized and calculated and recorded as the error evaluation value. This error evaluation value is used as the error rate standard for measuring the integrated management module. Communication efficiency: Measure the communication efficiency between modules, including communication time and packet loss rate. After normalizing the obtained communication time and packet loss rate, establish two spherical models with the communication time and packet loss rate as the radius of the two spheres, preset a correction distance, and use this correction distance as the distance between the two sphere centers. The preset correction distance is less than the communication time and packet loss rate. Make the two spherical models intersect according to the correction distance, analyze the surface area of ​​the two intersecting spherical models, and record it as the difference value. Calculate all the difference values ​​between every two modules, and calculate the average value, which is recorded as the average value. Use this average value as the standard for measuring the communication efficiency between the modules of the integrated management module. The obtained response judgment value, delay value, error evaluation value and average value are normalized and then weighted summed to obtain a performance evaluation value, which is used as a standard for measuring the performance of the integrated management module; The performance evaluation value is compared with a preset performance evaluation threshold value, and when the performance evaluation value is greater than the preset performance evaluation threshold value, it is determined that the performance of the integrated management module does not meet the standard; The analysis parameters of the response judgment value, delay value, error evaluation value and average value are then traced back to determine the parameters that are lower than the preset standards, and targeted optimization is performed on the parameters that are lower than the standards so that the performance of the integrated management module reaches the preset standards.

4. The high power density hydrogen fuel cell power management integrated system according to claim 1, characterized in that: The specific operation steps of the data recording module to record all key parameters of the hydrogen fuel cell are as follows: Determine the data to be recorded and the accuracy, frequency and duration of data recording, and select the corresponding sensor according to the determined parameters; Then select the corresponding data acquisition hardware, including data acquisition cards or modules, to ensure that the data acquisition hardware is compatible with the selected sensor and supports the required data acquisition frequency; Select software code to implement data reading from sensors to data acquisition hardware, determine the corresponding data storage format and database, and preset database mode to support data storage and retrieval in colleges and universities; Preprocess the collected data through filtering and denoising data preprocessing algorithms to improve data quality, and integrate the preprocessing function into the data acquisition software; The collected data is written into the database in real time, and the continuity and integrity of the recorded data are ensured through the preset data recording process. Through API or query tools, users are allowed to access and retrieve data in the database.

5. The high power density hydrogen fuel cell power management integrated system according to claim 1, characterized in that: The specific operation steps of the fault detection module to detect any abnormality or parameters deviating from the normal operating range in the data in the data recording module are as follows: First, define the normal range interval for each monitoring parameter, which is set based on the manufacturer's specifications and the system's historical performance data; Identify anomalies in the collected data through anomaly identification algorithms, which include threshold checking and trend analysis; The results of the trend analysis are compared with the results of the threshold check. If both analysis methods indicate an abnormality, the parameter is finally determined to be abnormal. Through the preset data stream, the fault detection module receives and analyzes data in real time, and sets an alarm threshold for each parameter. When the real-time parameter data exceeds the preset alarm threshold, an alarm is triggered; Determine the triggered alarm level based on the abnormal level of real-time parameters; Integrate the output of the fault detection module into the user interface for operators to view system status and alarms; When a fault occurs, a detailed event log is recorded, including time, parameter value and alarm type, and the recorded log is sent to the data logging module for storage.

6. The high power density hydrogen fuel cell power management integrated system according to claim 5, characterized in that: The specific operation steps of the fault detection module to identify anomalies in the collected data through an anomaly identification algorithm are as follows: The threshold checking step includes: The acquired parameter data is compared with the defined normal range of the parameter. When the real-time value of a parameter exceeds the defined normal range of the parameter, the parameter is marked as abnormal. The steps of trend analysis include: Collect parameter data within a preset time range and use time series analysis methods, including moving average or exponential smoothing, to identify the trend of parameter values. If the identified trend shows an abnormal rise or fall, or the rate of change of the trend is abnormal, it is marked as abnormal; Abnormal judgment is made by defining the normal interval of the rising or falling slope and the normal interval of the trend change speed.

7. The high power density hydrogen fuel cell power management integrated system according to claim 1, characterized in that: The process of the fault detection module determining the triggered alarm level according to the abnormal level of the real-time parameters is as follows: The judgment standard of the abnormal level of real-time parameters is to calculate the difference between the real-time parameters and the preset threshold value, and record it as the difference value, and calculate the ratio of the difference to the median value of the preset normal slope interval by taking the difference between the slope of the parameter trend rising or falling and the median value, and record it as the trend score value; After normalizing the obtained difference value and trend score value, a cone model is established with the difference value as the base circle radius and the trend score value as the height. The surface area of ​​the cone model is analyzed and recorded as the comprehensive score, which is used to measure the abnormality of the real-time parameters. The obtained comprehensive score is compared with several preset comprehensive score intervals, wherein the preset comprehensive score intervals correspond to different abnormal levels. When the comprehensive score interval to which the comprehensive score belongs is determined, the abnormal level of the parameter is determined, and the triggered alarm level is determined according to the abnormal level of the parameter.

8. The high power density hydrogen fuel cell power management integrated system according to claim 1, characterized in that: The process of the fault diagnosis module analyzing the abnormal parameters analyzed by the fault detection module and determining the cause of the fault is as follows: Receive specific information about abnormal parameters from the fault detection module, including the time, value and duration of the abnormal parameters, analyze historical data of the abnormal parameters, including data under normal and abnormal conditions, and look for emerging patterns or trends; According to the working principle of the system and historical failure cases, establish a fault model, including the fault type and the corresponding parameter changes when different types of faults occur, and apply diagnostic algorithms, including expert systems, machine learning models or decision trees, to analyze abnormal parameters and match known fault patterns; Based on the results of the diagnostic algorithm, infer the cause of the failure, including hardware failure, operational error, or environmental factors, and then verify the failure hypothesis through additional testing or data collection, including stress testing specific components or checking log files; Determine the exact location where the fault occurred, including the sensor, actuator or system component, generate a diagnostic report including abnormal parameters, fault cause, fault location and solution, and integrate the diagnostic results into the user interface for operators to access fault information and recommended solutions.

9. The high power density hydrogen fuel cell power management integrated system according to claim 1, characterized in that: The specific process of the early warning management module issuing targeted early warnings according to the cause of the fault is as follows: First, the fault data is integrated, and the abnormal parameter data, including the abnormal type, time and duration, are received from the fault detection module. Then, the fault cause, impact and suggested preliminary measures are received from the fault diagnosis module. According to the abnormal level of parameters determined in the fault detection module, the warning level is obtained, including warning, severe warning and emergency. According to the warning level, the warning signal is preset, including visual, auditory and notification methods; Establish an automated early warning notification mechanism. When the fault detection module finally determines that the parameters are abnormal, it will automatically issue an early warning based on the fault cause diagnosed by the fault diagnosis module, and integrate the fault data to convey it to the operator. Develop response plans for different types of warnings, including preventive measures, emergency operating procedures and maintenance guidelines, and ensure that operators understand and are able to execute these response plans; Test the early warning management module to ensure that it can correctly issue early warnings under various fault conditions and verify the response time and accuracy of the early warning system.

10. The high power density hydrogen fuel cell power management integrated system according to claim 1, characterized in that: The user interface provides an interface for operators to interact with the system. The specific steps of displaying system status, fault information, warnings and control commands are as follows: First, determine the operator's needs, including the parameters to be monitored, the tasks to be performed, and the preferred interaction methods, and determine the type of information that the user interface needs to display, including real-time data, historical data, fault information, and early warning signals; Then determine the layout of the user interface, including how to organize information, including the use of dashboards, charts, lists, and maps, and determine the corresponding interactive elements, including buttons, sliders, drop-down menus, and text boxes; Integrated early warning management module integrates the output of fault detection and early warning management into the user interface, ensuring that operators pay attention to key information through fault and early warning prompts; Provides an interface for inputting control commands, including starting, stopping, and adjusting parameters, implements user login and authentication functions, and provides different levels of access control based on user roles and permissions.

Images