A diagnostic method, apparatus, and electronic device for a fuel cell engine.
Patent Information
- Application Number
- CN202610794080.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-03
- Publication Date
- 2026-08-14
AI Technical Summary
但是现有相关的燃料电池系统健康状态诊断技术更多的仍然是依赖直接可测量的电化学和物理参数,例如电压、电流、功率、阻抗等,对基于系统部件状态作为直接或辅助判断的健康状态诊断方法鲜有研究,因此燃料电池系统健康状态诊断板块仍有所缺失
[0009]本发明的技术方案,本申请摒弃了传统的物理参数阈值判定,而是结合液位传感器的配置状态所获取的水管理健康状态系数对燃料电池发动机进行诊断,弥补了现有技术中缺乏基于部件状态诊断的空白,从而提高了燃料电池发动机诊断的全面性,有效避免了燃料电池发动机遭受不可逆的损伤。
Smart Images

Figure CN122576258A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of fuel cell vehicle technology, and in particular to a diagnostic method, apparatus, and electronic device for a fuel cell engine. Background Technology
[0002] Fuel cells are essentially devices that convert the chemical energy of fuel into electrical energy. Hydrogen energy has entered the public eye due to its advantages such as high energy density and zero carbon emissions. In particular, proton exchange membrane fuel cells have advantages such as high hydrogen energy utilization, low start-up temperature, long life, and zero pollution, and are widely recognized as the preferred choice for new energy power for vehicles. In fuel cell systems, health status diagnosis has always been a core research topic.
[0003] Timely and effective diagnosis and prediction of the health status of fuel cell engines can affect the performance and lifespan of the entire fuel cell system. However, existing fuel cell system health status diagnosis technologies still rely heavily on directly measurable electrochemical and physical parameters, such as voltage, current, power, and impedance. There is little research on health status diagnosis methods based on the state of system components as a direct or auxiliary judgment. Therefore, the field of fuel cell system health status diagnosis is still lacking. Summary of the Invention
[0004] This invention provides a diagnostic method, apparatus, and electronic device for fuel cell engines to achieve accurate diagnostics of fuel cell engines.
[0005] According to a first aspect of the present invention, a diagnostic method for a fuel cell engine is provided, the method comprising: real-time acquisition of operating data of the fuel cell engine, and determination of the validity of the operating data; When the operating data is determined to be valid, the configuration status of the liquid level sensor is obtained. Based on the configuration status, a matching target calculation strategy is determined from a variety of preset calculation strategies, and the calculation strategy is used to calculate the operating data to obtain the water management health status coefficient. The configuration status includes presence or absence. The water management health status of the fuel cell engine is diagnosed based on the water management health status coefficient.
[0006] According to another aspect of the present invention, a diagnostic device for a fuel cell engine is provided, the device comprising: a data validity determination module, used to collect operating data of the fuel cell engine in real time and determine the validity of the operating data; The water management health status coefficient acquisition module is used to acquire the configuration status of the liquid level sensor when the operating data is determined to be valid, determine the matching target calculation strategy from a variety of preset calculation strategies according to the configuration status, and use the target calculation strategy to calculate the operating data to obtain the water management health status coefficient, wherein the configuration status includes presence or absence; The diagnostic module is used to diagnose the water management health status of the fuel cell engine based on the water management health status coefficient.
[0007] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: one or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any embodiment of the present invention.
[0008] According to another aspect of the present invention, a storage medium for computer-executable instructions is provided, on which a computer program is stored, which, when executed by a processor, implements the method as described in any of the embodiments of the present invention.
[0009] The technical solution of this invention abandons the traditional physical parameter threshold judgment and instead uses the water management health status coefficient obtained by combining the configuration status of the liquid level sensor to diagnose the fuel cell engine, which fills the gap in the prior art of lacking component status diagnosis, thereby improving the comprehensiveness of fuel cell engine diagnosis and effectively avoiding irreversible damage to the fuel cell engine.
[0010] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description
[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0012] Figure 1 This is a flowchart of a diagnostic method for a fuel cell engine according to Embodiment 1 of the present invention; Figure 2 This is a flowchart of another diagnostic method for a fuel cell engine provided according to Embodiment 2 of the present invention; Figure 3 This is a schematic diagram of the structure of a diagnostic device for a fuel cell engine according to Embodiment 3 of the present invention; Figure 4 This is a structural block diagram of an electronic device provided in Embodiment 4 of the present invention. Detailed Implementation
[0013] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.
[0014] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, apparatus, product, or terminal device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or terminal devices.
[0015] Example 1 Figure 1 This is a flowchart of a diagnostic method for a fuel cell engine provided in Embodiment 1 of the present invention. This embodiment is applicable to the diagnosis of fuel cell engines. The method can be executed by a diagnostic device for a fuel cell engine. This device can be implemented in hardware and / or software, and can be integrated into an electronic device with data processing capabilities. Figure 1 As shown, the method includes: S101 collects real-time operating data of the fuel cell engine and determines the validity of the operating data.
[0016] Optional. Operating data includes fuel cell engine operating status, coolant inlet temperature, coolant outlet temperature, inlet hydrogen pressure, proportional valve duty cycle, and anode drain valve single opening time and frequency data; validity assessment of the operating data includes: acquiring the fuel cell engine operating status; when the fuel cell engine operating status is determined to be in full operation, the validity of the operating data is assessed based on the coolant inlet temperature or coolant outlet temperature.
[0017] Optionally, the validity of the operating data is determined based on the coolant inlet temperature or coolant outlet temperature, including: obtaining a first preset temperature value and a second preset temperature value at the current characteristic current point, wherein the current characteristic current point includes low load, medium load and high load; when the coolant inlet temperature is within the allowable range of the first preset temperature value, or the coolant outlet temperature is within the allowable range of the second preset temperature value, the operating data is determined to be valid.
[0018] Specifically, the controller collects and records the operating data of the fuel cell engine in real time. The collected operating data mainly includes status data, control data, and drainage data. The status data mainly includes the engine operating status, coolant inlet temperature, and coolant outlet temperature. The control data mainly includes the inlet hydrogen pressure and proportional valve duty cycle. The drainage data mainly includes the single opening time and frequency data of the anode drain valve. This embodiment does not limit the specific type of operating data collected.
[0019] Furthermore, in this embodiment, an effectiveness determination is performed before using operational data for diagnosis. A first preset temperature value Ta and a second preset temperature value Tb are determined based on the current characteristic current point. Here, the current characteristic current point mainly refers to the engine's low load, medium load, and high load, and the corresponding first and second preset temperature values are different for different characteristic current points. For example, at low load, the fuel cell generates less heat, so the corresponding first and second preset temperature values are relatively low; at high load, the fuel cell generates more heat, so the corresponding first and second preset temperature values will automatically increase. This embodiment does not limit the specific values of the first and second preset temperature values. For example, when determining the validity of data based on the coolant inlet temperature Tx, a first allowable range [Ta-a, Ta+a] can be determined based on a first preset temperature value Ta, where a is a predetermined fluctuation value. When Tx is within the first allowable range, the operating data is considered valid. This determination is necessary because the internal hydrothermal state of a fuel cell is highly chaotic during startup, drastic temperature changes, or severe load fluctuations. Data collected at these times, such as pressure and drainage time, are distorted and will lead to incorrect conclusions in health diagnostics. Therefore, only when the temperature stabilizes (e.g., around 60°C), indicating system thermal equilibrium, can the measured drainage time, pressure recovery time, and other data accurately reflect the system's health. Only this data, marked as valid, is used for further health status calculations. In this embodiment, prior determination of validity ensures the accuracy and reliability of all subsequent diagnostic results, avoiding false alarms caused by engine operating condition fluctuations (such as cold starts or rapid acceleration).
[0020] It should be noted that in this embodiment, the validity of the operating data can also be determined by referring to the coolant outlet temperature Ty. The first allowable range [Tb-b, Tb+b] can be determined based on the second preset temperature value Tb, where b is a predetermined fluctuation value. When Ty is within the second allowable range, the operating data is determined to be valid. Since the determination method for coolant outlet temperature is roughly the same as the determination method for coolant inlet temperature, it will not be described again in this embodiment.
[0021] S102: When the operating data is determined to be valid, the configuration status of the liquid level sensor is obtained. Based on the configuration status, the target calculation strategy is determined from a variety of preset calculation strategies, and the calculation strategy is used to calculate the operating data to obtain the water management health status coefficient.
[0022] Optionally, a matching target calculation strategy is determined from a variety of preset calculation strategies based on the configuration status, and the target calculation strategy is used to calculate the water management health status coefficient from the operating data. This includes: when the configuration status of the level sensor is present, extracting the single opening time and frequency data of the anode drain valve at the current characteristic current point from the operating data; determining the actual total opening time of the drain valve based on the predetermined calibrable time, the single opening time and frequency data of the anode drain valve; obtaining the ideal total opening time of the drain valve corresponding to the current characteristic current point, and using the ratio of the actual total opening time of the drain valve to the ideal total opening time of the drain valve as the water management health status coefficient.
[0023] Specifically, there are currently two methods for controlling the anode drain valve: one is with a level sensor, where the single opening time and frequency of the drain valve are calibrated based on the level sensor signal; the other is without a level sensor, where the single opening time and frequency of the drain valve are calibrated based on the current characteristic current point of the fuel cell engine and the stack temperature. Different calculation strategies are selected based on different methods to calculate the water management health state coefficient. When the level sensor is present, the water management health state coefficient K is calculated using the following formula (1): (1) in, This indicates the total actual opening time of the drain valve. This refers to the ideal total opening time of the drain valve, which is the time determined when the fuel cell engine is fresh from the factory and in its healthiest condition. The above... As a reference line. To avoid misjudgment, the system does not use a single reference line for all situations, but determines different ideal total opening times of the drain valve based on the characteristic current point, i.e., the load of the transmitter, so that the low-load reference value is used for comparison at low load and the high-load reference value is used for comparison at high load. This ensures the fairness and accuracy of the diagnosis. In addition, the actual total opening time of the drain valve can be calculated using the following formula (2): (2) in, This indicates the total actual opening time of the drain valve. Indicates that the time can be calibrated. Represents frequency data. This indicates the single opening time of the anode drain valve. Therefore, the system does not only consider how long the drain valve is open each time, but also the total time the drain valve operates within a calibrable time period. For example, if the calibrable time, i.e., the observation period, is 1 minute, and the drain valve is open for 0.5 seconds per time (…), then… It opened 10 times in that minute. Therefore, the total drainage time within 1 minute is 1 minute ÷ 0.5 seconds × 0.1 times = 12 seconds, that is, the total drainage time TiDrng is 12 seconds. Of course, this embodiment is only an example and does not limit the specific calculation method of the water management health status coefficient when the liquid level sensor is configured.
[0024] Optionally, a matching target calculation strategy is determined from a variety of preset calculation strategies based on the configuration status, and the target calculation strategy is used to calculate the water management health status coefficient from the operating data, including: when the configuration status of the liquid level sensor is absent, extracting the infeed hydrogen pressure under the current characteristic current from the operating data; calculating the actual infeed hydrogen pressure recovery time based on the infeed hydrogen pressure, obtaining the ideal infeed hydrogen pressure recovery time corresponding to the current characteristic current point; and using the ratio of the actual infeed hydrogen pressure recovery time to the ideal infeed hydrogen pressure recovery time as the water management health status coefficient.
[0025] Optionally, a matching target calculation strategy is determined from a variety of preset calculation strategies based on the configuration status, and the target calculation strategy is used to calculate the water management health status coefficient from the operating data. This includes: when the configuration status of the level sensor is absent, extracting the proportional valve duty cycle under the current characteristic current from the operating data; calculating the actual proportional valve duty cycle compensation based on the proportional valve duty cycle, obtaining the ideal proportional valve duty cycle compensation corresponding to the current characteristic current point; and using the ratio of the actual proportional valve duty cycle compensation to the ideal proportional valve duty cycle compensation as the water management health status coefficient.
[0026] Specifically, when there's no liquid level sensor to visually determine the amount of water in the battery, the presence of water can be inferred by observing the speed of hydrogen pressure recovery or the amount of compensation from the hydrogen proportional valve. This indirectly calculates the water management health status coefficient. Therefore, when the water level is not directly visible, the system monitors two indirect indicators: the hydrogen pressure recovery time and the proportional valve duty cycle compensation. Based on these indicators, the water management health status coefficient is calculated. The hydrogen pressure recovery time refers to the time required for the hydrogen pressure on the anode side to return to normal after the drain valve has drained the water. The proportional valve duty cycle compensation refers to the additional control signal the system needs to provide to the hydrogen proportional valve to maintain a normal hydrogen supply. The actual hydrogen pressure recovery time can be calculated based on the hydrogen pressure at the point of entry. It can also calculate the actual proportional valve duty cycle compensation amount based on the proportional valve duty cycle. .
[0027] The system records the ideal in-core hydrogen pressure recovery time at various characteristic current points (low, medium, and high loads) when the engine leaves the factory. Or ideal proportional valve duty cycle compensation amount Since all of these are known, the water management health status coefficient is calculated using the following formula (3) or formula (4): (3) in, This indicates the actual hydrogen pressure recovery time before the reactor core is filled. This indicates the ideal hydrogen pressure recovery time before reactor insertion.
[0028] (4) in, This indicates the actual proportional valve duty cycle compensation amount. This represents the duty cycle compensation amount of the ideal proportional valve. Of course, this embodiment is merely an example and does not limit the specific calculation method for the water management health status coefficient.
[0029] S103, Diagnose the water management health status of the fuel cell engine based on the water management health status coefficient.
[0030] Optionally, the water management health status of the fuel cell engine is diagnosed based on the water management health status coefficient, including: when the current characteristic current point is at high load, the corresponding first initial health status coefficient is obtained; when the water management health status coefficient is less than the first initial health status coefficient, it is determined that the water management health status of the fuel cell engine has a membrane dryness risk; when the current characteristic current point is at low load, the corresponding second initial health status coefficient is obtained; when the water management health status coefficient is greater than the second initial health status coefficient, it is determined that the water management health status of the fuel cell engine has a flooding risk.
[0031] Specifically, this embodiment acquires the initial health state coefficient corresponding to the characteristic current point. For example, when the current characteristic current point is under high load, the corresponding first initial health state coefficient K0 is acquired. When the fuel cell is under high load (high current, high power output), if K < K0, it is determined that the water management health state of the fuel cell engine has a risk of membrane dryness. This is because under high load, the battery reaction is violent, producing a lot of heat and water. If the battery is healthy, there will be sufficient liquid water on the anode side, and the drain valve needs to be open for a long time to drain it completely. However, if the battery is short of water (membrane dryness), the liquid water accumulated on the anode side will be very little, and the drain valve only needs to be opened for a very short time to drain it. Therefore, the drainage time is abnormally shortened (i.e., the K value becomes smaller), which precisely reflects the lack of internal water.
[0032] Additionally, when the current characteristic current point is under low load, the corresponding second initial health state coefficient K1 is obtained. When the fuel cell is under low load (low current, low power output), if K > K1, it is determined that there is a risk of flooding. This is because under low load, the battery produces less water, and drainage mainly relies on gas purging. If the battery is healthy, the gas in the anode channel is unobstructed after drainage, and the hydrogen pressure can be restored quickly. However, if there is severe water accumulation inside the battery (flooding), the liquid water will block the hydrogen channel. After the drain valve drains the water, the hydrogen needs to take a longer time to "squeeze out" the residual water blocking the channel and refill it, so the pressure recovery becomes very slow. Therefore, an abnormally long pressure recovery time (i.e., a larger K value) precisely reflects the situation of water blockage in the internal channel.
[0033] The technical solution of this invention abandons the traditional physical parameter threshold judgment and instead uses the water management health status coefficient obtained by combining the configuration status of the liquid level sensor to diagnose the fuel cell engine, which fills the gap in the prior art of lacking component status diagnosis, thereby improving the comprehensiveness of fuel cell engine diagnosis and effectively avoiding irreversible damage to the fuel cell engine.
[0034] Example 2 Figure 2 This is a flowchart of another diagnostic method for a fuel cell engine provided by an embodiment of the present invention. Based on the above embodiment, after diagnosing the water management health status of the fuel cell engine according to the water management health status coefficient, this embodiment further includes: when it is determined that there is a risk to the water management health status of the fuel cell engine, generating a risk warning prompt based on the type of risk; determining a corresponding adjustment strategy based on the risk warning prompt, and using the adjustment strategy for adjustment. Figure 2 As shown, the method includes: S201 collects real-time operating data of the fuel cell engine and determines the validity of the operating data.
[0035] Optional. Operating data includes fuel cell engine operating status, coolant inlet temperature, coolant outlet temperature, inlet hydrogen pressure, proportional valve duty cycle, and anode drain valve single opening time and frequency data; validity assessment of the operating data includes: acquiring the fuel cell engine operating status; when the fuel cell engine operating status is determined to be in full operation, the validity of the operating data is assessed based on the coolant inlet temperature or coolant outlet temperature.
[0036] Optionally, the validity of the operating data is determined based on the coolant inlet temperature or coolant outlet temperature, including: obtaining a first preset temperature value and a second preset temperature value at the current characteristic current point, wherein the current characteristic current point includes low load, medium load and high load; when the coolant inlet temperature is within the allowable range of the first preset temperature value, or the coolant outlet temperature is within the allowable range of the second preset temperature value, the operating data is determined to be valid.
[0037] S202: When the operating data is determined to be valid, the configuration status of the liquid level sensor is obtained. Based on the configuration status, the target calculation strategy is determined from a variety of preset calculation strategies, and the calculation strategy is used to calculate the operating data to obtain the water management health status coefficient.
[0038] Optionally, a matching target calculation strategy is determined from a variety of preset calculation strategies based on the configuration status, and the target calculation strategy is used to calculate the water management health status coefficient from the operating data. This includes: when the configuration status of the level sensor is present, extracting the single opening time and frequency data of the anode drain valve at the current characteristic current point from the operating data; determining the actual total opening time of the drain valve based on the predetermined calibrable time, the single opening time and frequency data of the anode drain valve; obtaining the ideal total opening time of the drain valve corresponding to the current characteristic current point, and using the ratio of the actual total opening time of the drain valve to the ideal total opening time of the drain valve as the water management health status coefficient.
[0039] Optionally, a matching target calculation strategy is determined from a variety of preset calculation strategies based on the configuration status, and the target calculation strategy is used to calculate the water management health status coefficient from the operating data, including: when the configuration status of the liquid level sensor is absent, extracting the infeed hydrogen pressure under the current characteristic current from the operating data; calculating the actual infeed hydrogen pressure recovery time based on the infeed hydrogen pressure, obtaining the ideal infeed hydrogen pressure recovery time corresponding to the current characteristic current point; and using the ratio of the actual infeed hydrogen pressure recovery time to the ideal infeed hydrogen pressure recovery time as the water management health status coefficient.
[0040] Optionally, a matching target calculation strategy is determined from a variety of preset calculation strategies based on the configuration status, and the target calculation strategy is used to calculate the water management health status coefficient from the operating data. This includes: when the configuration status of the level sensor is absent, extracting the proportional valve duty cycle under the current characteristic current from the operating data; calculating the actual proportional valve duty cycle compensation based on the proportional valve duty cycle, obtaining the ideal proportional valve duty cycle compensation corresponding to the current characteristic current point; and using the ratio of the actual proportional valve duty cycle compensation to the ideal proportional valve duty cycle compensation as the water management health status coefficient.
[0041] S203, Diagnose the water management health status of the fuel cell engine based on the water management health status coefficient.
[0042] Optionally, the water management health status of the fuel cell engine is diagnosed based on the water management health status coefficient, including: when the current characteristic current point is at high load, the corresponding first initial health status coefficient is obtained; when the water management health status coefficient is less than the first initial health status coefficient, it is determined that the water management health status of the fuel cell engine has a membrane dryness risk; when the current characteristic current point is at low load, the corresponding second initial health status coefficient is obtained; when the water management health status coefficient is greater than the second initial health status coefficient, it is determined that the water management health status of the fuel cell engine has a flooding risk.
[0043] S204 When it is determined that there is a risk to the water management health status of the fuel cell engine, a risk warning is generated according to the type of risk, a corresponding adjustment strategy is determined according to the risk warning, and the adjustment strategy is adopted for adjustment.
[0044] Specifically, when the aforementioned risks to water management health are repeatedly identified over a period of time, the system will generate a risk warning based on the type of risk and report it. Upon receiving a risk warning, the system will not blindly address the problem but will instead retrieve the most suitable solution from a pre-defined control strategy library based on the type of warning. For example, if the warning indicates membrane dryness risk (water shortage), the system will determine a "humidification / water retention strategy," such as reducing airflow, increasing humidifier power, or adjusting reactor temperature. If the warning indicates flooding risk (water accumulation), the system will determine a "drainage / purging strategy," such as increasing airflow for purging, increasing the frequency of drain valve opening, or increasing air compressor speed.
[0045] Once the strategy is determined, the controller directly issues commands to automatically execute these adjustment actions without manual intervention. The system proactively changes the fuel cell's operating parameters, such as adjusting valve openings and changing fan or air compressor speeds, striving to restore the water content inside the battery to a healthy equilibrium. Therefore, the system implemented in this way not only has the ability to detect problems but also possesses closed-loop control capabilities to solve them. It achieves intelligent water management throughout the entire process, from status monitoring, fault diagnosis, early warning, and automatic adjustment. This not only allows for early detection of potential problems but also enables automatic intervention at the first sign of worsening faults, maximizing the protection of the fuel cell stack and extending its lifespan.
[0046] The technical solution of this invention abandons the traditional physical parameter threshold judgment and instead uses the water management health status coefficient obtained by combining the configuration status of the liquid level sensor to diagnose the fuel cell engine, which fills the gap in the prior art of lacking component status diagnosis, thereby improving the comprehensiveness of fuel cell engine diagnosis and effectively avoiding irreversible damage to the fuel cell engine.
[0047] Example 3 Figure 3 This is a schematic diagram of the structure of a diagnostic device for a fuel cell engine provided in an embodiment of the present invention. Figure 3 As shown, the device includes: a data validity determination module 310, a water management health status coefficient acquisition module 320, and a diagnostic module 330.
[0048] Among them, the data validity determination module 310 is used to collect the operating data of the fuel cell engine in real time and determine the validity of the operating data; The water management health status coefficient acquisition module 320 is used to acquire the configuration status of the liquid level sensor when the operating data is determined to be valid, determine the matching target calculation strategy from a variety of preset calculation strategies based on the configuration status, and use the target calculation strategy to calculate the operating data to obtain the water management health status coefficient. The configuration status includes whether it exists or does not exist. The diagnostic module 330 is used to diagnose the water management health status of the fuel cell engine based on the water management health status coefficient.
[0049] Optionally, the operating data includes the fuel cell engine operating status, coolant inlet temperature, coolant outlet temperature, inlet hydrogen pressure, proportional valve duty cycle, and anode drain valve single opening time and frequency data; the data validity determination module 310 is used to obtain the fuel cell engine operating status. When the fuel cell engine is determined to be in full operation, the validity of the operating data is determined based on the coolant inlet temperature or coolant outlet temperature.
[0050] Optionally, the data validity determination module 310 is also used to obtain a first preset temperature value and a second preset temperature value at the current characteristic current point, wherein the current characteristic current point includes low load, medium load and high load. The operating data is considered valid when the coolant inlet temperature is within the first preset temperature range or the coolant outlet temperature is within the second preset temperature range.
[0051] Optionally, the water management health status coefficient acquisition module 320 is used to extract the single opening time and frequency data of the anode drain valve under the current characteristic current point from the operating data when the configuration status of the liquid level sensor is present. The actual total opening time of the drain valve is determined based on the predetermined calibrable time, the single opening time and frequency data of the anode drain valve; Obtain the ideal total opening time of the drain valve corresponding to the current characteristic current point, and use the ratio of the actual total opening time of the drain valve to the ideal total opening time of the drain valve as the water management health status coefficient.
[0052] Optionally, the water management health status coefficient acquisition module 320 is used to extract the infeed hydrogen pressure under the current characteristic current from the operating data when the configuration status of the liquid level sensor is absent. The actual hydrogen pressure recovery time is calculated based on the hydrogen pressure fed into the reactor, and the ideal hydrogen pressure recovery time corresponding to the current characteristic current point is obtained. The ratio of the actual hydrogen pressure recovery time to the ideal hydrogen pressure recovery time is used as the water management health status coefficient.
[0053] Optionally, the water management health status coefficient acquisition module 320 is used to extract the proportional valve duty cycle under the current characteristic current from the operating data when the configuration status of the liquid level sensor is absent. Calculate the actual proportional valve duty cycle compensation amount based on the proportional valve duty cycle, and obtain the ideal proportional valve duty cycle compensation amount corresponding to the current characteristic current point. The ratio of the actual proportional valve duty cycle compensation to the ideal proportional valve duty cycle compensation is used as the water management health status coefficient.
[0054] Optionally, the diagnostic module 330 is used to obtain the corresponding first initial health state coefficient when the current characteristic current point is under high load, and when the water management health state coefficient is less than the first initial health state coefficient, it is determined that there is a membrane dryness risk in the water management health state of the fuel cell engine. When the current characteristic current point is under low load, the corresponding second initial health state coefficient is obtained. When the water management health state coefficient is greater than the second initial health state coefficient, it is determined that the water management health state of the fuel cell engine is at risk of flooding.
[0055] Optionally, the device also includes an adjustment module for generating a risk warning prompt based on the type of risk when it is determined that there is a risk to the water management health status of the fuel cell engine, wherein the type includes membrane dryness risk or flooding risk. Based on the risk warning prompts, determine the corresponding adjustment strategies and implement the adjustments accordingly.
[0056] The diagnostic device for a fuel cell engine provided in this embodiment of the invention can execute the diagnostic method for a fuel cell engine provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.
[0057] Example 4 Figure 4 A schematic diagram of an electronic device 10, which can be used to implement embodiments of the present invention, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.
[0058] The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the invention described and / or claimed herein.
[0059] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.
[0060] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other electronic devices through computer networks such as the Internet and / or various telecommunications networks.
[0061] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as diagnostic methods for fuel cell engines.
[0062] That is, to collect the operating data of the fuel cell engine in real time and to determine the validity of the operating data; When the operating data is determined to be valid, the configuration status of the liquid level sensor is obtained. Based on the configuration status, the target calculation strategy is determined from a variety of preset calculation strategies, and the calculation strategy is used to calculate the water management health status coefficient on the operating data. The configuration status includes whether it exists or does not exist. The water management health status of the fuel cell engine is diagnosed based on the water management health status coefficient.
[0063] In some embodiments, the diagnostic method for the fuel cell engine can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the diagnostic method for the fuel cell engine described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the diagnostic method for the fuel cell engine by any other suitable means (e.g., by means of firmware).
[0064] Various embodiments of the apparatuses and techniques described above herein can be implemented in digital electronic circuit devices, integrated circuit devices, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), device-on-a-chip (SoC) devices, complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable device including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage device, at least one input device, and at least one output device, and transmitting data and instructions to the storage device, the at least one input device, and the at least one output device.
[0065] Computer programs used to implement the diagnostic method for the fuel cell engine of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer or a special-purpose computer, such that when executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer programs can be executed entirely on the machine, partially on the machine, or as a standalone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.
[0066] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution apparatus, device, or electronic device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage electronics, magnetic storage electronics, or any suitable combination thereof.
[0067] To provide interaction with a user, the devices and techniques described herein can be implemented on an electronic device having: a display device (e.g., a touchscreen) for displaying information to the user; and buttons through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).
[0068] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.
[0069] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.
Claims
1. A diagnostic method for a fuel cell engine, characterized in that, The method includes: Real-time acquisition of fuel cell engine operating data, and determination of the validity of the operating data; When the operating data is determined to be valid, the configuration status of the liquid level sensor is obtained. Based on the configuration status, a matching target calculation strategy is determined from a variety of preset calculation strategies, and the calculation strategy is used to calculate the operating data to obtain the water management health status coefficient. The configuration status includes presence or absence. The water management health status of the fuel cell engine is diagnosed based on the water management health status coefficient.
2. The method according to claim 1, characterized in that, The operating data includes fuel cell engine operating status, coolant inlet temperature, coolant outlet temperature, inlet hydrogen pressure, proportional valve duty cycle, and anode drain valve single opening time and frequency data. The step of determining the validity of the operating data includes: obtaining the operating status of the fuel cell engine; When the fuel cell engine is determined to be in full operation, the validity of the operating data is determined based on the coolant inlet temperature or the coolant outlet temperature.
3. The method according to claim 2, characterized in that, The determination of the validity of the operating data based on the coolant inlet temperature or the coolant outlet temperature includes: Obtain a first preset temperature value and a second preset temperature value at the current characteristic current point, wherein the current characteristic current point includes low load, medium load and high load; When the coolant inlet temperature is within the allowable range of the first preset temperature value, or the coolant outlet temperature is within the allowable range of the second preset temperature value, the operating data is determined to be valid.
4. The method according to claim 2, characterized in that, The step of determining a matching target calculation strategy from a variety of preset calculation strategies based on the configuration status, and using the target calculation strategy to calculate the water management health status coefficient from the operating data, includes: When the configuration status of the liquid level sensor is present, extract the single opening time and frequency data of the anode drain valve at the current characteristic current point from the operating data; The actual total opening time of the drain valve is determined based on the predetermined calibrable time, the single opening time of the anode drain valve, and the frequency data. Obtain the ideal total opening time of the drain valve corresponding to the current characteristic current point, and use the ratio of the actual total opening time of the drain valve to the ideal total opening time of the drain valve as the water management health status coefficient.
5. The method according to claim 2, characterized in that, The step of determining a matching target calculation strategy from a variety of preset calculation strategies based on the configuration status, and using the target calculation strategy to calculate the water management health status coefficient from the operating data, includes: When the configuration status of the liquid level sensor is absent, the infeed hydrogen pressure under the current characteristic current is extracted from the operating data; The actual hydrogen pressure recovery time is calculated based on the hydrogen pressure fed into the reactor, and the ideal hydrogen pressure recovery time corresponding to the current characteristic current point is obtained. The ratio of the actual hydrogen pressure recovery time to the ideal hydrogen pressure recovery time is used as the water management health status coefficient.
6. The method according to claim 2, characterized in that, The step of determining a matching target calculation strategy from a variety of preset calculation strategies based on the configuration status, and using the target calculation strategy to calculate the water management health status coefficient from the operating data, includes: When the configuration status of the liquid level sensor is absent, the duty cycle of the proportional valve under the current characteristic current is extracted from the operating data; Calculate the actual proportional valve duty cycle compensation amount based on the proportional valve duty cycle, and obtain the ideal proportional valve duty cycle compensation amount corresponding to the current characteristic current point. The ratio of the actual proportional valve duty cycle compensation to the ideal proportional valve duty cycle compensation is used as the water management health status coefficient.
7. The method according to claim 3, characterized in that, The step of diagnosing the water management health status of the fuel cell engine based on the water management health status coefficient includes: When the current characteristic current point is under high load, the corresponding first initial health state coefficient is obtained. When the water management health state coefficient is less than the first initial health state coefficient, it is determined that the water management health state of the fuel cell engine has a risk of membrane dryness. When the current characteristic current point is under low load, the corresponding second initial health state coefficient is obtained. When the water management health state coefficient is greater than the second initial health state coefficient, it is determined that the water management health state of the fuel cell engine is at risk of flooding.
8. The method according to claim 1, characterized in that, After diagnosing the water management health status of the fuel cell engine based on the water management health status coefficient, the method further includes: When it is determined that there is a risk to the water management health status of the fuel cell engine, a risk warning is generated according to the type of risk, wherein the type includes membrane dryness risk or flooding risk; Based on the risk warning prompts, determine the corresponding adjustment strategies and implement the adjustments accordingly.
9. A diagnostic device for a fuel cell engine, characterized in that, The device includes: The data validity determination module is used to collect the operating data of the fuel cell engine in real time and determine the validity of the operating data. The water management health status coefficient acquisition module is used to acquire the configuration status of the liquid level sensor when the operating data is determined to be valid, determine the matching target calculation strategy from a variety of preset calculation strategies according to the configuration status, and use the target calculation strategy to calculate the operating data to obtain the water management health status coefficient, wherein the configuration status includes presence or absence; The diagnostic module is used to diagnose the water management health status of the fuel cell engine based on the water management health status coefficient.
10. An electronic device, characterized in that, The electronic device includes: One or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-8.
11. A storage medium for computer-executable instructions, wherein a computer program is stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1-8.