CN117174951B - Fuel cell fault monitoring and controlling method and device - Google Patents

Abstract

The embodiment of the application provides a fuel cell fault monitoring and controlling method, a device and a storage medium, wherein the method comprises the following steps: acquiring operation parameters and expected parameters of the current operation condition of the fuel cell; determining a fault parameter set in the operation parameters according to the operation parameters and the expected parameters; and matching the corresponding target calculation model based on the fault parameter set, and replacing the fault parameters in the fault parameter set with the simulation parameters calculated by the target calculation model. According to the technical scheme provided by the embodiment of the application, whether the fuel cell fails in the current operation working condition can be determined according to the operation parameters and the expected parameters, and after the fuel cell fails, the simulation parameters corresponding to the failure parameters are calculated for replacement based on the target calculation model with higher accuracy in matching the failure parameter set determined by the failure, so that the follow-up control of the operation condition of the fuel cell according to the simulation parameters is facilitated, and the control deviation is reduced.

Description

Fuel cell fault monitoring and control method and device

Technical Field

The present application relates to the field of fuel cell control technology, and in particular to a fuel cell fault monitoring method and control device.

Background technique

A fuel cell is an energy conversion device whose specific working process is to control the air flowing through the cathode of the fuel cell stack and the hydrogen flowing through the anode of the fuel cell stack to generate electrical energy through reactions on both sides of the membrane electrode, that is, converting chemical energy into electrical energy.

In the related art, the fuel cell includes an air supply system and a hydrogen supply system, which control the electric energy generated by the reaction process by controlling the flow rate and pressure of the air provided by the air supply system and the flow rate and pressure of the hydrogen provided by the hydrogen supply system. However, during the operation of the fuel cell, if the measured air flow signal or pressure signal fails due to interference, transmission or hardware failure, it may cause excessive control deviation when controlling the operation of the fuel cell, resulting in the air provided by the air supply system and the hydrogen provided by the hydrogen supply system being unable to fully react and maintain sufficient voltage and effective current, causing power interruption or damage to the fuel cell.

Summary of the invention

To solve the above technical problems, embodiments of the present application provide a fuel cell fault monitoring and control method, device, computer-readable storage medium and electronic device.

According to one aspect of an embodiment of the present application, a fuel cell fault monitoring and control method is provided, including: obtaining operating parameters and expected parameters of the current operating conditions of the fuel cell; determining a fault parameter group in the operating parameters based on the operating parameters and the expected parameters; matching a corresponding target calculation model based on the fault parameter group, and replacing the fault parameters in the fault parameter group with simulation parameters calculated by the target calculation model.

According to one aspect of an embodiment of the present application, a fuel cell fault monitoring and control device is provided, including: an identification module, configured to obtain operating parameters and expected parameters of the current operating conditions of the fuel cell; a monitoring module, configured to determine a fault parameter group in the operating parameters based on the operating parameters and the expected parameters; a correction module, configured to match a corresponding target calculation model based on the fault parameter group, and replace the fault parameters in the fault parameter group with simulation parameters calculated by the target calculation model.

In some embodiments of the present application, based on the aforementioned scheme, the correction module is also configured to: after matching the corresponding target calculation model based on the fault parameter group and replacing the fault parameters in the fault parameter group with the simulation parameters calculated by the target calculation model, determine the corresponding fault level according to the fault parameter group; switch the current operating condition of the fuel cell to a waiting condition or a safe condition based on the fault level; wherein the power of the waiting condition is less than the power of the current operating condition and greater than the power of the safe condition.

In some embodiments of the present application, based on the aforementioned scheme, the correction module is further configured to: start timing after switching the current operating condition of the fuel cell to the waiting condition or the safe condition; before the timing duration reaches a preset duration, if it is determined that the values of each fault parameter in the fault parameter group are in the corresponding normal value interval and the cumulative time reaches the preset normal time, then restore the current operating condition of the fuel cell.

In some embodiments of the present application, based on the aforementioned scheme, the correction module is also configured as follows: if it is determined that the fuel cell switches from the current operating condition to the waiting condition, then after the timing duration reaches the preset duration, the operating condition of the fuel cell is switched to the safe condition, and a prompt message is issued to indicate that a failure has occurred in the fuel cell.

In some embodiments of the present application, based on the aforementioned scheme, the correction module is further configured as follows: if it is determined that the fuel cell switches from the current operating condition to the safe condition, then after the timing reaches the preset time, a prompt message is issued to indicate that the fuel cell has failed and a pre-shutdown countdown is started; when the pre-shutdown countdown ends, the operating condition of the fuel cell is switched to the shutdown condition.

In some embodiments of the present application, based on the aforementioned scheme, the correction module is also configured as: if the fault parameter included in the fault parameter group is a parameter of the inlet air flow rate of the air compressor in the fuel cell or a parameter of the stack air pressure of the cathode in the fuel cell, then the corresponding fault level is determined to be a first fault level, wherein the first fault level indicates that the current operating condition of the fuel cell is switched to the waiting condition; if the fault parameter included in the fault parameter group is a parameter of the inlet air flow rate of the air compressor in the fuel cell and a parameter of the stack air pressure of the cathode in the fuel cell, then the corresponding fault level is determined to be a second fault level, wherein the second fault level indicates that the current operating condition of the fuel cell is switched to the safe condition.

In some embodiments of the present application, based on the aforementioned scheme, the monitoring module is also configured as follows: if the fault parameter included in the fault parameter group is a parameter of the inlet air flow rate of the air compressor in the fuel cell or a parameter of the stack air pressure of the cathode in the fuel cell, then the first calculation model is matched as the target calculation model; wherein the first calculation model is generated by the association between the operating parameters and calibration parameters corresponding to each of the air compressor and the cathode; if the fault parameter included in the fault parameter group is a parameter of the inlet air flow rate of the air compressor in the fuel cell and a parameter of the stack air pressure of the cathode in the fuel cell, then the second calculation model is matched as the target calculation model; wherein the second calculation model is generated by the association between the output current of the fuel cell and the calibration parameters corresponding to each of the air compressor and the cathode, and a correction coefficient derived based on the opening parameters of the back pressure valve and the bypass valve in the fuel cell.

According to one aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which computer-readable instructions are stored. When the computer-readable instructions are executed by a processor of a computer, the computer executes the fuel cell fault monitoring and control method as described in the above embodiments.

According to one aspect of an embodiment of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements the fuel cell fault monitoring and control method as described in the above embodiments.

In the technical solution of the embodiment of the present application, when the fuel cell is running, the operating parameters and expected parameters of the current operating conditions of the fuel cell can be obtained, and then the fault parameter group in the operating parameters can be determined based on the operating parameters and the expected parameters, that is, it is determined whether the fuel cell has a fault in the measured air flow due to interference, transmission or hardware temperature in the current operating condition. Finally, the corresponding target calculation model is matched based on the fault parameter group, and the simulation parameters calculated by the target calculation model replace the fault parameters in the fault parameter group to ensure that when the fuel cell fails in the current operating condition, a more accurate calculation model can be matched to calculate the fault parameters of the fault. Replacing the fault parameters with the calculated simulation parameters facilitates the subsequent control and adjustment of the operating conditions of the fuel cell according to the simulation parameters, thereby reducing the control deviation, improving the accuracy of controlling the operation of the fuel cell, and reducing the possibility of power interruption or damage to the fuel cell.

BRIEF DESCRIPTION OF THE DRAWINGS

The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

FIG. 1 is a schematic diagram of the structure of a fuel cell involved in the present application.

FIG. 2 is a flow chart of a fuel cell fault monitoring method shown in an exemplary embodiment of the present application.

FIG. 3 is a flow chart of an exemplary embodiment after step S230 in the embodiment shown in FIG. 2 .

FIG. 4 is a flow chart of another exemplary fuel cell fault monitoring method proposed based on the embodiment shown in FIG. 3 .

FIG. 5 is a flow chart of another exemplary fuel cell fault monitoring method proposed based on the embodiment shown in FIG. 4 .

FIG. 6 is a flow chart of a fuel cell fault monitoring method shown in another exemplary embodiment of the present application.

FIG. 7 is a block diagram of a fuel cell fault monitoring device according to an exemplary embodiment of the present application.

FIG. 8 is a schematic structural diagram of an electronic device shown in an exemplary embodiment of the present application.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more comprehensive and complete and fully convey the concept of example embodiments to those skilled in the art.

In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations/steps, nor must they be executed in the order described. For example, some operations/steps can be decomposed, and some operations/steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

It should be noted that the "multiple" mentioned in this article refers to two or more. "And/or" describes the association relationship of the associated objects, indicating that there can be three relationships. For example, A and/or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects before and after are in an "or" relationship.

FIG1 is a schematic diagram of the structure of an exemplary fuel cell. As shown in FIG1 , a fuel cell 100 includes an air supply system 110 , a fuel cell stack 120 , and a hydrogen supply system 130 .

It should be noted that the working process of the fuel cell 110 is to generate electric energy by controlling the reaction between the air flowing through the cathode of the fuel cell stack 120 and the hydrogen flowing through the anode of the fuel cell stack 120 on both sides of the membrane electrode. In other words, the reaction process is controlled by controlling the flow rate of air provided by the air supply system 110 and the flow rate of hydrogen provided by the hydrogen supply system 130. Accordingly, the flow rate, pressure, temperature and humidity of the air can affect the working process of the fuel cell.

In the related art, the specific structure of the air supply system 110 can continue to refer to FIG. 1. The air supply system 110 includes an air filter 140, an air compressor 150, and an intercooler 160 interconnected by pipelines. The air flows through the air filter 140, the air compressor 150, and the intercooler 160 in sequence before entering the cathode of the fuel cell, so that the air can first pass through the air filter 140 to filter the particulate matter contained therein, and adsorb the impurity gas in the air to improve the purity of the air, and then compress the air through the air compressor 150 to increase the flow rate of the air, and finally cool the compressed air through the intercooler 160 to ensure that the temperature of the compressed air is within a reasonable range.

Therefore, during the operation of the fuel cell, if the measured air flow fails due to interference, transmission or hardware temperature, it may cause excessive control deviation when controlling the operation of the fuel cell, resulting in the air provided by the air supply system and the hydrogen provided by the hydrogen supply system not being able to fully react, causing damage to the fuel cell or power interruption. If the fuel cell is used in a vehicle, it will seriously affect the safety of the driver.

To avoid this problem, the technical solution of the embodiment of the present application proposes a fuel cell fault monitoring method, as shown in FIG2. The method is applicable to the fuel cell shown in FIG1, and the method can be specifically executed by the controller provided in the fuel cell shown in FIG1. Of course, the method can also be executed by the controller provided in the vehicle provided with the fuel cell shown in FIG1, and is not limited here. The method includes at least steps S210 to S230, which are described in detail as follows:

In step S210, operating parameters and expected parameters corresponding to the current operating condition of the fuel cell are obtained.

It should be noted that the operating parameters represent the measured parameters of the monitored fuel cell under the current operating conditions. For example: the real-time output power of the fuel cell, the real-time corresponding flow rate, temperature and pressure of the air provided by the air supply system, the real-time corresponding flow rate and pressure of the hydrogen provided by the hydrogen supply system, etc. The expected parameters represent the operating parameters calibrated by the current operating conditions.

Among them, the method of obtaining the operating parameters and expected parameters corresponding to the current operating condition of the fuel cell can be flexibly set as needed. In one example, the operating parameters and expected parameters corresponding to the current operating condition of the fuel cell can be cyclically obtained according to the preset collection interval time; the preset collection interval time can be flexibly adjusted as needed, for example, the higher the power of the current operating condition of the fuel cell, the shorter the corresponding preset collection interval time, so as to improve the overall safety and reduce the resource occupancy rate.

In another example, the operating parameters and expected parameters corresponding to the current operating condition of the fuel cell may be acquired in response to the control signal, so as to focus on monitoring the operating parameters and expected parameters in the control process of the fuel cell.

In step S220, a fault parameter group in the operating parameters is determined according to the operating parameters and the expected parameters.

It should be noted that the fault parameter group is composed of parameters of the fuel cell operation parameters in which faults occur.

In the implementation manner of the present application, after the operating parameters and expected parameters corresponding to the current operating condition of the fuel cell are acquired, the fault parameter group in the operating parameters can be determined according to the operating parameters and the expected parameters.

Among them, the method of determining the fault parameter group in the operating parameters according to the operating parameters and the expected parameters can be flexibly set according to needs. In an example, considering that the expected parameters are parameters calibrated in combination with the load and demand corresponding to the current operating conditions, the rationality of each parameter in the operating parameters can be determined in turn, that is, it is determined in turn whether the difference between the numerical value of each parameter in the operating parameters and the numerical value of the corresponding parameter in the expected parameters is within the allowable error range. If it is determined to be yes, it indicates that the parameter is reasonable. Otherwise, it is determined that the parameter is not rational and the parameter is added to the fault parameter group.

In another example, based on the above example, the rationality of each parameter can be further determined by the change of each parameter in the operating parameters. For example, at least one of the stuck time, fluctuation frequency and fluctuation amplitude corresponding to the parameter is determined according to the change; if it is determined that the stuck time exceeds the stuck time threshold, the fluctuation frequency exceeds the fluctuation frequency threshold or the fluctuation amplitude exceeds the fluctuation amplitude threshold, it is determined that the parameter is not rational, and the parameter is added to the fault parameter group.

In addition, considering that the fuel cell is more likely to be abnormal in the process of adjusting the operating parameters based on the control signal, before implementing the above example, it is possible to first determine whether the control signal is invalid. That is, if it is determined that the control signal is invalid, then determine the fault parameter group in the operating parameters based on the operating parameters and the expected parameters to further reduce the resource occupancy rate. Among them, the method of determining whether the control signal is invalid can be determined by determining whether the values of each parameter in the operating parameters of the fuel cell are adjusted to the values of the corresponding parameters in the control signal.

In step S230, a corresponding target computing model is matched based on the fault parameter group, and the simulation parameters calculated by the target computing model replace the fault parameters in the fault parameter group.

It should be noted that the calculation model is used to calculate the theoretical value of the parameter according to the operating conditions of the fuel cell.

Since different faults occurring during the operation of the fuel cell will cause the operating parameters to produce different fault parameters, in an embodiment of the present application, after determining the fault parameter group in the operating parameters, the corresponding target calculation model can be matched based on the fault parameter group, that is, the calculation model corresponding to the fault parameters in the fault parameter group is matched, and then the simulation parameters calculated by the target calculation model are replaced with the fault parameters in the fault parameter group, so that when it is determined that a fuel cell fault occurs, the operating conditions of the fuel cell can be adjusted according to the simulation parameters, thereby improving the accuracy of controlling the fuel cell, making the control process of the fuel cell safer, not prone to causing excessive control deviations, and ensuring the safety of users.

For example, if the fault parameter included in the fault parameter group is a parameter of the inlet air flow rate of the air compressor in the fuel cell or a parameter of the stack air pressure of the cathode in the fuel cell, the first calculation model is matched as the target calculation model; wherein the first calculation model is generated by the correlation relationship between the operating parameters and calibration parameters corresponding to the air compressor and the cathode respectively.

Specifically, the calculation formula for the simulated value of the inlet air flow of the air compressor in the first calculation model is:

Among them, M_air_cmpr1 is the simulated value of the inlet air flow of the air compressor, f _{air compressor characteristic-m} (N_cmpr, Pr) is the corresponding air compressor inlet air flow calibration value obtained based on the air compressor characteristic pulse spectrum interpolation, N_cmpr is the speed of the air compressor, Pr is the front-to-back pressure ratio of the air compressor, P_cmprin is the inlet air pressure of the air compressor, and T_cmprin is the inlet air temperature of the air compressor.

The calculation formula for the simulated value of the cathode air pressure in the first calculation model is:

P_cathdin1＝Pr*P _cmprin -f _{Intercooler pressure loss} (P_cmprout)

Among them, P_cathdin1 is the simulated value of the cathode inlet air pressure, f _{intercooler pressure loss} (P_cmprout) is the pressure loss calibration value of the intercooler calculated based on the outlet air pressure of the air compressor, and P_cmprout is the outlet air pressure of the air compressor.

In addition, the calculation formula of Pr is:

Pr＝f _{air compressor characteristics-p} (N_cmpr，M_air_cmpr)＝P_cmprout/P_cmprin

Among them, f _{air compressor characteristic-p} (N_cmpr, M_air_cmpr) is the corresponding front-to-rear pressure ratio calibration value of the air compressor obtained based on the air compressor characteristic pulse spectrum interpolation.

The calculation formula of P_cmprout is:

P_cmprout = P_cathdin - _{intermediate cooling pressure loss} (P_cathdin)

Among them, intercooler _{pressure loss} (P_cathdin) is the pressure loss calibration value of the intercooler calculated based on the cathode inlet air pressure.

If the fault parameters included in the fault parameter group are the parameters of the inlet air flow rate of the air compressor in the fuel cell and the parameters of the cathode inlet air pressure in the fuel cell, it means that under the current operating conditions of the fuel cell, among the air flow rate, air pressure ratio and speed in the air compressor characteristic spectrum, only the speed can be used as a valid operating parameter. Therefore, the simulation parameters corresponding to the fault parameters cannot be effectively calculated through the first calculation model.

Therefore, when the fault parameter group includes the inlet air flow and the stack air pressure, the second calculation model is matched as the target calculation model; wherein the second calculation model is generated by the correlation between the output current of the fuel cell and the calibration parameters corresponding to the air compressor and the cathode, and the correction coefficient obtained based on the opening parameters of the back pressure valve and the bypass valve in the fuel cell. That is to say, on the basis of determining the inlet air flow and the stack air pressure based on the correlation between the output current of the fuel cell and the air supply system, considering that the air output by the air compressor 150 in the air supply system 110 shown in FIG1 can also adjust the air flow based on the opening parameter of the bypass valve 180 before entering the cathode of the fuel cell stack 120 through the stack cut-off valve 170; and the air discharged from the fuel cell stack 120 is affected by the opening parameter corresponding to the back pressure valve 190, the present application further calculates the corresponding correction coefficient based on the opening parameters of the back pressure valve and the bypass valve in the fuel cell, so as to improve the accuracy of the calculated inlet air flow simulation value and the stack air pressure simulation.

Specifically, the calculation formula for the simulated value of the inlet air flow of the air compressor in the second calculation model is:

M_air_cmpr2＝fair _{compressor characteristics-m} (I,N_cmpr)* _{fflow correction} (Posn_bapreg)* _{fflow correction} (Posn_bypass)

Among them, M_air_cmpr2 is the simulated value of the inlet air flow of the air compressor, fAir _{Compressor Characteristics-m} (I,N_cmpr) is the calibrated value of the inlet air flow of the air compressor calculated based on the output current of the fuel cell in the air compressor characteristic pulse spectrum and the air compressor speed interpolation, fFlow _Correction (Posn_bapreg) is the correction coefficient of the back pressure valve opening parameter to the inlet air flow of the air compressor, and fFlow _Correction (Posn_bypass) is the correction coefficient of the bypass valve opening parameter to the inlet air flow of the air compressor.

The calculation formula for the simulated value of the cathode air pressure in the second calculation model is:

P_cathdin2 = f _{compressor characteristics - p} (I, N_cmpr) * f _{pressure correction} (Posn_bapreg) * f _{pressure correction} (Posn_bypass)

Among them, P_cathdin2 is the simulated value of the cathode air pressure entering the stack, fair _{compressor characteristic-p} (I,N_cmpr) is the calibrated value of the cathode air pressure entering the stack calculated based on the output current of the fuel cell in the air compressor characteristic spectrum and the air compressor speed interpolation, fpressure _correction (Posn_bapreg) is the correction coefficient of the back pressure valve opening parameter to the cathode air pressure entering the stack, and _{fpressure correction} (Posn_bypass) is the correction coefficient of the bypass valve opening parameter to the cathode air pressure entering the stack.

Through the above-mentioned implementation mode, during the operation of the fuel cell, the operating parameters and expected parameters of the current operating conditions of the fuel cell can be obtained first, and then the fault parameter group in the operating parameters can be determined based on the operating parameters and the expected parameters, that is, it is determined whether the fuel cell has a fault in the measured air flow due to interference, transmission or hardware temperature in the current operating condition. Finally, the corresponding target calculation model is matched based on the fault parameter group, and the simulation parameters calculated by the target calculation model replace the fault parameters in the fault parameter group, so as to ensure that when the fuel cell fails in the current operating condition, a more accurate calculation model can be matched to calculate the fault parameters of the fault. By replacing the fault parameters with the calculated simulation parameters, it is convenient to adjust the operating conditions of the fuel cell according to the simulation parameters in the future, thereby reducing the control deviation, improving the accuracy of controlling the fuel cell, ensuring that the air provided by the air supply system can fully react with the hydrogen provided by the hydrogen supply system, and reducing the possibility of damage to the fuel cell or power interruption.

Referring to FIG. 3 , FIG. 3 is a fuel cell fault monitoring method according to another exemplary embodiment. As shown in FIG. 3 , after step S230 in the embodiment shown in FIG. 2 , the method may further include steps S310 to S320, which are described in detail as follows:

In step S310, a corresponding fault level is determined according to the fault parameter group.

In an embodiment of the present application, after the fault parameters in the fault parameter group are replaced by the simulation parameters calculated by the target calculation model, it is characterized that a fault has occurred in the current operating condition of the fuel cell, so that the corresponding fault level can be determined according to the fault parameter group first, so as to facilitate the subsequent implementation of the corresponding processing method.

In addition to directly determining the corresponding fault level according to the fault parameters in the fault parameter group, the method of determining the corresponding fault level according to the fault parameter group can also be flexibly set according to needs. In one example, the corresponding fault level can be determined by the number of fault parameters in the fault parameter group, that is, by determining the quantity interval in which the number of fault parameters is located, and taking the fault level associated with the quantity interval as the fault level corresponding to the current fault parameter group, wherein each fault level is preset with its own corresponding quantity interval.

In another example, each parameter in the operating parameters may be preset with a corresponding priority or fault value, and after determining the parameter in the operating parameters where a fault occurs, the highest priority among the faulty parameters may be screened out or the sum of the corresponding fault values of the faulty parameters may be calculated, and finally, the fault level associated with the highest priority or the sum of the fault values may be used as the fault level corresponding to the current fault parameter group, wherein each fault level is preset with a corresponding priority and fault value.

Referring to the above example, if the fault parameter included in the fault parameter group is a parameter of the inlet air flow rate of the air compressor in the fuel cell or a parameter of the cathode stack air pressure in the fuel cell, the corresponding fault level is determined to be the first fault level.

If the fault parameters included in the fault parameter group are the parameters of the inlet air flow rate of the air compressor in the fuel cell and the parameters of the cathode stack air pressure in the fuel cell, then the fault that characterizes the current operating condition of the fuel cell causes many parameters to be unable to be obtained, resulting in the risk of continued operation of the fuel cell gradually increasing with the extension of the operating time, and the corresponding fault level is determined to be the second fault level.

In step S320, the current operating state of the fuel cell is switched to a waiting state or a safe state based on the fault level.

In an embodiment of the present application, after determining the fault level of the fault parameter group, the current operating condition of the fuel cell can be switched to a waiting condition or a safe condition based on the fault level, wherein the power of the waiting condition is less than the power of the current operating condition and greater than the power of the safe condition. In other words, the fault level represents the operating risk of the current operating condition of the fuel cell. Accordingly, if the fault level represents a low operating risk, the current operating condition of the fuel cell is switched to the waiting condition; if the fault level represents a high operating risk, the current operating condition of the fuel cell is switched to the safe condition.

Specifically, based on the above example, the first fault level indicates that the current operating power of the fuel cell is switched to a waiting state, and the second fault level indicates that the current operating power of the fuel cell is switched to a safe state.

Through the above-mentioned implementation mode, when it is determined that the operating parameters of the current operating condition of the fuel cell have a fault, the corresponding fault level can be first determined according to the fault parameter group, and then the current operating condition of the fuel cell can be switched to a waiting condition or a safe condition based on the fault level, so as to protect the faulty fuel cell by reducing the operating power of the fuel cell. At the same time, according to the determined fault level, a targeted condition is selected from the waiting condition or the safe condition for transition, so as to improve the smoothness and safety of the fuel cell when switching the current operating condition.

Referring to FIG. 4 , FIG. 4 is a flow chart of a fuel cell fault monitoring method shown in another exemplary embodiment of the present application. As shown in FIG. 4 , based on the method shown in FIG. 3 , the method may further include steps S410 to S420 , which are described in detail as follows:

In step S410, timing starts after the current operating state of the fuel cell is switched to a waiting state or a safe state.

In step S420, before the timing time reaches the preset time, if it is determined that the accumulated time that the values of each fault parameter in the fault parameter group are in the corresponding normal value interval reaches the preset normal time, the current operating condition of the fuel cell is restored.

Taking into account that parameter failures caused by interference, transmission or hardware temperature during the operation of the fuel cell have a certain possibility of recovery, in an embodiment of the present application, timing can be started after the current operating condition of the fuel cell is switched to a waiting condition or a safe condition, that is, timing is started when a fault occurs in the operating parameters of the fuel cell, and before the timing time reaches the preset time, if it is determined that the values of each fault parameter in the fault parameter group are in the corresponding normal value interval and the cumulative time reaches the preset normal time, it indicates that each fault parameter in the fault parameter group has returned to normal, and the cumulative time of maintaining the preset normal data interval reaches the preset normal time, that is, the possibility of eliminating the fault during the operation of the fuel cell is relatively high, and the current operating condition of the fuel cell is restored to ensure that the fuel cell restores normal power in time, thereby improving user satisfaction.

In another exemplary embodiment, the fuel cell fault monitoring method shown in FIG. 4 may further include the following steps:

If it is determined that the fuel cell is switched from the current operating condition to the waiting condition, the operating condition of the fuel cell is switched to the safe condition after the timing reaches a preset time, and a prompt message is issued to indicate that a fuel cell failure has occurred.

In an embodiment of the present application, after the current operating condition of the fuel cell is switched according to the fault level, if it is determined that the fuel cell is switched from the current operating condition to the waiting condition, in addition to judging whether to restore the fuel cell from the waiting condition to the current operating condition by using the timing duration corresponding to the synchronous timing and the preset duration, it is also possible to judge whether further protective measures need to be taken based on the timing duration and the preset duration, that is, after the timing duration reaches the preset duration, the operating condition of the fuel cell is switched to a safe condition, that is, the power of the fuel cell is further reduced, thereby reducing the operating risk of the fuel cell, and at the same time, a prompt message is issued to indicate that a fuel cell failure has occurred.

Among them, the method of sending out a prompt message for indicating a fuel cell failure can be, on the one hand, by driving a corresponding alarm light to flash, or by receiving the prompt message through a multimedia device installed in the vehicle, and then generating multimedia data based on the prompt message for playback.

In another exemplary embodiment, the present application further proposes a flow chart of a fuel cell fault monitoring method shown in FIG5 based on the method shown in FIG4. As shown in FIG5, the method further includes steps S510 and S520, as shown in FIG5, which are described in detail as follows:

In step S510, if it is determined that the fuel cell is switched from the current operating condition to the safe condition, after the timing reaches a preset time, a prompt message for prompting a fuel cell failure is issued and a pre-shutdown countdown is started.

In step S520, when the pre-shutdown countdown ends, the operating state of the fuel cell is switched to the shutdown state.

In an embodiment of the present application, if it is determined that the fuel cell switches from the current operating condition to the safe condition, it indicates that the current operating risk of the fuel cell is relatively high. When it is determined that the fault of the fuel cell has not been eliminated after switching to the safe condition, that is, after the timing reaches a preset time, on the one hand, a prompt message is issued to indicate that the fuel cell has failed, and on the other hand, a pre-shutdown countdown is started to reserve processing time for users using the fuel cell through the pre-shutdown countdown. When the pre-shutdown countdown ends, the operating condition of the fuel cell is switched to the shutdown condition to avoid further damage to the fuel cell.

In addition, considering that the operating risks corresponding to the waiting condition and the safety condition are different, in the implementation mode of the present application, the corresponding preset time lengths can be pre-set for the waiting condition and the safety condition respectively. Accordingly, the preset time length corresponding to the waiting condition is greater than the preset time length corresponding to the safety condition, so as to further optimize the processing process after a fuel cell failure is detected.

FIG6 is a flow chart of a fuel cell fault monitoring method in an exemplary embodiment of the present application. As shown in FIG6 , the specific implementation method includes at least steps S601 to S609, which are described in detail as follows:

In step S601, the operating parameters and expected parameters of the current operating condition of the fuel cell are obtained.

In step S602, a fault parameter group in the operating parameters is determined according to the operating parameters and the expected parameters.

If the fault parameter group is not determined from the operating parameters, it indicates that all parameters in the operating parameters are in the normal value range, indicating that the current operating condition of the fuel cell is normal, and the fuel cell fault monitoring is terminated. On the contrary, if the fault parameter group is determined, step S603 is executed to match the corresponding target calculation model based on the fault parameter group, and replace the fault parameters in the fault parameter group with the simulation parameters calculated by the target calculation model.

Specifically, the specific method of matching the corresponding target computing model has been described in detail in the above process and will not be repeated here.

In step S604, the corresponding fault level is determined according to the fault parameter group.

Among them, the fault level is used to characterize the current operating risk of the fuel cell.

In step S605, the current operating state of the fuel cell is switched to the operating state corresponding to the fault level based on the fault level, and timing is started.

In step S606, it is determined whether the timing duration reaches a preset duration.

In step S606, if the answer is yes, it indicates that the fuel cell has not been able to eliminate the fault for a long time and is very easy to be damaged, so step S607 is executed to issue a prompt message indicating that the fuel cell has failed, and control the fuel cell to shut down to prompt the user and protect the fuel cell from further damage.

In step S607, if the judgment is no, then steps S608 to S609 are executed.

In step S608, it is determined whether the accumulated time duration during which the values of each fault parameter in the fault parameter group are in the corresponding normal value interval reaches a preset normal time duration.

If the answer is yes, it indicates that the fuel cell has been freed from faults and has returned to normal with a high probability, and step S609 is executed to restore the operating condition of the fuel cell to the current operating condition; if the answer is no, the process jumps to step S607 to continue to determine whether the timing duration has reached the preset duration, so as to continuously monitor and determine the fault status of the fuel cell.

The following describes an apparatus embodiment of the present application, which can be used to execute the fuel cell fault monitoring method in the above-mentioned embodiment of the present application. For details not disclosed in the apparatus embodiment of the present application, please refer to the above-mentioned embodiment of the fuel cell fault monitoring method of the present application.

FIG. 7 shows a block diagram of a fuel cell fault monitoring device 700 according to an embodiment of the present application.

As shown in Figure 7, a fuel cell fault monitoring device 700 according to an embodiment of the present application includes: an identification module 710, configured to obtain operating parameters and expected parameters of the current operating conditions of the fuel cell; a monitoring module 720, configured to determine a fault parameter group in the operating parameters based on the operating parameters and the expected parameters; a correction module 730, configured to match the corresponding target calculation model based on the fault parameter group, and replace the fault parameters in the fault parameter group with the simulation parameters calculated by the target calculation model.

In some embodiments of the present application, based on the aforementioned scheme, the correction module 730 is also configured to: after matching the corresponding target calculation model based on the fault parameter group and replacing the fault parameters in the fault parameter group with the simulation parameters calculated by the target calculation model, determine the corresponding fault level according to the fault parameter group; switch the current operating condition of the fuel cell to a waiting condition or a safe condition based on the fault level; wherein the power of the waiting condition is less than the power of the current operating condition and greater than the power of the safe condition.

In some embodiments of the present application, based on the aforementioned scheme, the correction module 730 is also configured to: start timing after the current operating condition of the fuel cell is switched to a waiting condition or a safe condition; before the timing time reaches a preset time, if it is determined that the values of each fault parameter in the fault parameter group are in the corresponding normal value range and the cumulative time reaches the preset normal time, the current operating condition of the fuel cell is restored.

In some embodiments of the present application, based on the aforementioned scheme, the correction module 730 is also configured as follows: if it is determined that the fuel cell switches from the current operating condition to the waiting condition, then after the timing reaches a preset time, the operating condition of the fuel cell is switched to a safe condition, and a prompt message is issued to indicate that a fuel cell failure has occurred.

In some embodiments of the present application, based on the aforementioned scheme, the correction module 730 is also configured as follows: if it is determined that the fuel cell switches from the current operating condition to the safe condition, then after the timing reaches a preset time, a prompt message is issued to indicate that the fuel cell has failed and a pre-shutdown countdown is started; when the pre-shutdown countdown ends, the operating condition of the fuel cell is switched to the shutdown condition.

In some embodiments of the present application, based on the aforementioned scheme, the correction module 730 is also configured as: if the fault parameter included in the fault parameter group is a parameter of the inlet air flow rate of the air compressor in the fuel cell or a parameter of the stack air pressure of the cathode in the fuel cell, then the corresponding fault level is determined to be the first fault level, wherein the first fault level indicates that the current operating condition of the fuel cell is switched to a waiting condition; if the fault parameter included in the fault parameter group is a parameter of the inlet air flow rate of the air compressor in the fuel cell and a parameter of the stack air pressure of the cathode in the fuel cell, then the corresponding fault level is determined to be the second fault level, wherein the second fault level indicates that the current operating condition of the fuel cell is switched to a safe condition.

In some embodiments of the present application, based on the aforementioned scheme, the monitoring module 720 is also configured as follows: if the fault parameter included in the fault parameter group is a parameter of the inlet air flow rate of the air compressor in the fuel cell or a parameter of the stack air pressure of the cathode in the fuel cell, then the first calculation model is matched as the target calculation model; wherein the first calculation model is generated by the correlation between the operating parameters and calibration parameters corresponding to the air compressor and the cathode respectively; if the fault parameter included in the fault parameter group is a parameter of the inlet air flow rate of the air compressor in the fuel cell and a parameter of the stack air pressure of the cathode in the fuel cell, then the second calculation model is matched as the target calculation model; wherein the second calculation model is generated by the correlation between the output current of the fuel cell and the calibration parameters corresponding to the air compressor and the cathode respectively, and the correction coefficient obtained based on the opening parameters of the back pressure valve and the bypass valve in the fuel cell.

It should be noted that the fuel cell fault monitoring device 700 provided in the above embodiment and the fuel cell fault monitoring method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs operations has been described in detail in the method embodiment and will not be repeated here.

An embodiment of the present application further provides an electronic device, including a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the fuel cell fault monitoring method as described above is implemented.

FIG8 shows a schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application.

It should be noted that the computer system 800 of the electronic device shown in FIG. 8 is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

As shown in Figure 8, computer system 800 includes a central processing unit (CPU) 801, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 802 or the program loaded from the storage part 808 to the random access memory (RAM) 803, such as executing the method described in the above embodiment. In RAM 803, various programs and data required for system operation are also stored. CPU 801, ROM 802 and RAM 803 are connected to each other through bus 804. Input/output (I/O) interface 805 is also connected to bus 804.

The following components are connected to the I/O interface 805: an input section 806 including a keyboard, a mouse, etc.; an output section 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 808 including a hard disk, etc.; and a communication section 809 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the I/O interface 805 as needed. A removable medium 811, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 810 as needed so that a computer program read therefrom is installed into the storage section 808 as needed.

In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 809, and/or installed from the removable medium 811. When the computer program is executed by the central processing unit (CPU) 801, various functions defined in the system of the present application are executed.

It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by an instruction execution system, device or device or used in combination with it. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of the boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not constitute limitations on the units themselves in some cases.

As another aspect, the present application also provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the method described in the above embodiment.

It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation method of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation method of the present application.

Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims (9)

1. A fuel cell fault monitoring and control method, the method comprising:

Acquiring operation parameters and expected parameters of the current operation condition of the fuel cell;

Determining a fault parameter set in the operation parameters according to the operation parameters and the expected parameters;

Matching a corresponding target calculation model based on the fault parameter set, and replacing the fault parameter in the fault parameter set with the simulation parameter calculated by the target calculation model, wherein the target calculation model is used for calculating the simulation parameter of the fault parameter in the fault parameter set according to the operating condition of the fuel cell; the simulation parameter characterizes a theoretical value of the fault parameter under operating conditions of the fuel cell;

Adjusting the current operation condition of the fuel cell according to the simulation parameters;

The matching of the fault parameter set to the corresponding target calculation model comprises the following steps:

If the fault parameter included in the fault parameter set is a parameter of air flow rate at an inlet of the fuel cell or a parameter of air pressure at a cathode of the fuel cell, matching a first calculation model as the target calculation model; the first calculation model is generated by the association relation between the operation parameters and the calibration parameters corresponding to the air compressor and the cathode respectively;

If the fault parameters included in the fault parameter set are parameters of air flow rate at an inlet of the fuel cell and air pressure at a cathode of the fuel cell, matching a second calculation model as the target calculation model; the second calculation model is generated by the association relation between the output current of the fuel cell and the calibration parameters corresponding to the air compressor and the cathode, and the correction coefficient obtained based on the opening parameters of the back pressure valve and the bypass valve in the fuel cell.

2. The fault monitoring and control method of claim 1, wherein after the matching of the corresponding target calculation model based on the fault parameter set and replacing the simulation parameters calculated by the target calculation model with the fault parameters in the fault parameter set, the method further comprises:

determining a corresponding fault level according to the fault parameter set;

Switching the current operation working condition of the fuel cell to a waiting working condition or a safety working condition based on the fault level; the power of the waiting working condition is smaller than that of the current running working condition and larger than that of the safety working condition.

3. The fault monitoring and control method of claim 2, further comprising:

starting timing after switching the current operating condition of the fuel cell to the waiting condition or the safe condition;

and before the timing duration reaches the preset duration, if the accumulated duration of the values of the fault parameters in the fault parameter set in the corresponding normal value intervals is determined to reach the preset normal duration, the current operation working condition of the fuel cell is recovered.

4. A fault monitoring and control method according to claim 3, characterized in that the method further comprises:

if the fuel cell is determined to be switched from the current operation working condition to the waiting working condition, after the timing time length reaches the preset time length, the working condition of the fuel cell is switched to the safety working condition, and prompt information for prompting that the fuel cell is in failure is sent out.

5. A fault monitoring and control method according to claim 3, characterized in that the method further comprises:

if the fuel cell is determined to be switched from the current operation condition to the safety condition, after the timing time length reaches the preset time length, sending out prompt information for prompting the fault of the fuel cell and starting pre-shutdown countdown;

and switching the working condition of the fuel cell to the shutdown working condition after the pre-shutdown countdown is finished.

6. The fault monitoring and control method of claim 2, wherein the determining a corresponding fault level from the set of fault parameters comprises:

If the fault parameters included in the fault parameter set are parameters of inlet air flow rate in the fuel cell or parameters of pile-in air pressure of a cathode in the fuel cell, determining that the corresponding fault level is a first fault level, wherein the first fault level indicates that the current operation condition of the fuel cell is switched to the waiting condition;

and if the fault parameters included in the fault parameter set are the parameters of the air flow rate of the air in the fuel cell and the parameters of the air pressure of the cathode in the fuel cell, determining that the corresponding fault level is a second fault level, wherein the second fault level indicates that the current operation condition of the fuel cell is switched to the safe operation condition.

7. A fuel cell failure monitoring and control device, characterized by comprising:

the identification module is configured to acquire the operation parameters and the expected parameters of the current operation working condition of the fuel cell;

The monitoring module is configured to determine a fault parameter set in the operation parameters according to the operation parameters and the expected parameters;

The correction module is configured to be matched with a corresponding target calculation model based on the fault parameter set, and replace the fault parameters in the fault parameter set with the simulation parameters calculated by the target calculation model, wherein the target calculation model is used for calculating the simulation parameters of the fault parameters in the fault parameter set according to the operating conditions of the fuel cell; the simulation parameter characterizes a theoretical value of the fault parameter under operating conditions of the fuel cell;

Adjusting the current operation condition of the fuel cell according to the simulation parameters;

The matching of the fault parameter set to the corresponding target calculation model comprises the following steps:

If the fault parameter included in the fault parameter set is a parameter of air flow rate at an inlet of the fuel cell or a parameter of air pressure at a cathode of the fuel cell, matching a first calculation model as the target calculation model; the first calculation model is generated by the association relation between the operation parameters and the calibration parameters corresponding to the air compressor and the cathode respectively;

If the fault parameters included in the fault parameter set are parameters of air flow rate at an inlet of the fuel cell and air pressure at a cathode of the fuel cell, matching a second calculation model as the target calculation model; the second calculation model is generated by the association relation between the output current of the fuel cell and the calibration parameters corresponding to the air compressor and the cathode, and the correction coefficient obtained based on the opening parameters of the back pressure valve and the bypass valve in the fuel cell.

8. A storage medium having stored thereon computer readable instructions which, when executed by a processor of a computer, cause the computer to perform the fuel cell fault monitoring and control method of any one of claims 1 to 6.

9. An electronic device, comprising:

One or more processors;

Storage means for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the fuel cell fault monitoring and control method of any one of claims 1 to 6.