Fuel cell air system valve self-learning method and related equipment

Abstract

The invention discloses a fuel cell air system valve self-learning method and related equipment, relates to the field of valve control, and mainly aims to solve the problem of valve errors caused by inconsistent factory calibration or aging wear of valves. The method comprises the steps that valve self-learning trigger signals are obtained, and the valve self-learning trigger signals comprise a periodic inspection signal and a valve or fuel cell controller replacement signal; under the condition that the valve self-learning trigger signal is obtained, valve self-learning is started, valves comprise a discharge valve, a reactor-in stop valve, a reactor-out stop valve and a back pressure valve, and the valve self-learning is used for determining self-learning voltages corresponding to the valves; and correcting the valve opening based on the self-learning voltage corresponding to each valve. The method is used for the fuel cell air system valve self-learning process.

Description

Technical Field

[0001] The present invention relates to the field of valve control, and in particular to a fuel cell air system valve self-learning method and related equipment. Background Art

[0002] With the promotion and popularization of new energy vehicles and hydrogen-powered vehicles, more and more automobile companies are moving towards electrification and new energy. More and more hydrogen fuel cell systems are being used in new energy vehicles, which has higher requirements for fuel cell system performance, such as stack life, sealing, reliability and durability, etc.

[0003] At present, the domestic and foreign markets for hydrogen fuel cell vehicles are mainly based on the "electric-electric hybrid" model, that is, a hybrid model with fuel cells as the main energy source and power batteries as auxiliary energy sources. The life of the fuel-electric system has always been a focus of attention. After the aging of fuel-electric batteries and components, there will be errors and performance will also decline. The decline in component performance will lead to a decline in the overall performance of the fuel-electric system. In particular, the air path valve will cause the position sensor signal on the valve to deviate due to factory consistency problems and component aging problems, which will further cause the valve to be unable to completely close and seal, causing air to enter the stack and react with the residual hydrogen inside the stack, causing the stack to be in a high potential state, damaging the stack and causing a decrease in life. Summary of the invention

[0004] In view of the above problems, the present invention provides a fuel cell air system valve self-learning method and related equipment, the main purpose of which is to solve the problem of valve error caused by inconsistent valve factory calibration or aging and wear.

[0005] In order to solve at least one of the above technical problems, in a first aspect, the present invention provides a fuel cell air system valve self-learning method, the method comprising:

[0006] Acquire a valve self-learning trigger signal, wherein the valve self-learning trigger signal includes a periodic inspection signal and a valve or fuel cell controller replacement signal;

[0007] When the valve self-learning trigger signal is obtained, the valve self-learning is started, wherein the valve includes a relief valve, a stack inlet stop valve, a stack outlet stop valve and a back pressure valve, and the valve self-learning is used to determine the self-learning voltage corresponding to each valve;

[0008] The valve opening is corrected based on the self-learning voltage corresponding to each valve.

[0009] Optionally, when the valve self-learning trigger signal is obtained, starting valve self-learning includes:

[0010] When the relief valve self-learning is in progress, open the inlet stop valve, outlet stop valve and back pressure valve;

[0011] Obtaining a comparison result between the actual opening of the relief valve and a preset threshold value;

[0012] When the comparison result shows that the actual opening of the relief valve meets the preset threshold, determining a relief valve reversal instruction, wherein the relief valve reversal instruction is used to close the relief valve for a preset time;

[0013] When the discharge valve is closed for a preset time, recording a first output voltage of the discharge valve, wherein the output voltage is obtained based on an opening sensor of the discharge valve;

[0014] Obtaining a comparison result between the actual opening of the discharge valve and the preset threshold value after the preset closing time of the discharge valve ends;

[0015] When the comparison result shows that the actual opening of the relief valve meets the preset threshold, determining a relief valve reversal instruction, wherein the relief valve reversal instruction is used to close the relief valve for a preset time;

[0016] When the discharge valve is closed for a preset time, recording a second output voltage of the discharge valve;

[0017] When both the first output voltage and the second output voltage of the relief valve satisfy a calibration interval, determining that the first output voltage and the second output voltage of the relief valve are valid;

[0018] A self-learning voltage of the leakage valve is determined based on the first output voltage and the second output voltage of the leakage valve.

[0019] Optionally, when the valve self-learning trigger signal is obtained, starting valve self-learning includes:

[0020] Obtaining a comparison result between the actual opening of the stack entry stop valve and a preset threshold value;

[0021] If the comparison result shows that the actual opening of the stack entry stop valve meets the preset threshold, determining a stack entry stop valve reversal instruction, wherein the stack entry stop valve reversal instruction is used to close the stack entry stop valve for a preset time;

[0022] When the stack entry cut-off valve is closed for a preset time, recording a first output voltage of the stack entry cut-off valve, wherein the output voltage is obtained based on an opening sensor of the stack entry cut-off valve;

[0023] Obtaining a comparison result between the actual opening of the stack entry stop valve and the preset threshold value after the preset closing time of the stack entry stop valve ends;

[0024] If the comparison result shows that the actual opening of the stack entry stop valve meets the preset threshold, determining a stack entry stop valve reversal instruction, wherein the stack entry stop valve reversal instruction is used to close the stack entry stop valve for a preset time;

[0025] When the stack entry cut-off valve is closed for a preset time, recording a second output voltage of the stack entry cut-off valve;

[0026] When both the first output voltage and the second output voltage of the stack entry cut-off valve satisfy a calibration range, determining that the first output voltage and the second output voltage of the stack entry cut-off valve are valid;

[0027] A self-learning voltage of the stack entry cut-off valve is determined based on the first output voltage and the second output voltage of the stack entry cut-off valve.

[0028] Optionally, when the valve self-learning trigger signal is obtained, starting valve self-learning includes:

[0029] Obtaining a comparison result between the actual opening of the stack-out stop valve and a preset threshold value;

[0030] When the comparison result shows that the actual opening of the stack-out stop valve meets the preset threshold, a stack-out stop valve reversal instruction is determined, wherein the stack-out stop valve reversal instruction is used to close the stack-out stop valve for a preset time;

[0031] When the stack-out stop valve is closed for a preset time, recording a first output voltage of the stack-out stop valve, wherein the output voltage is obtained based on an opening sensor of the stack-out stop valve;

[0032] Obtaining a comparison result between the actual opening of the stack-out stop valve and the preset threshold value after the preset closing time of the stack-out stop valve ends;

[0033] When the comparison result shows that the actual opening of the stack-out stop valve meets the preset threshold, a stack-out stop valve reversal instruction is determined, wherein the stack-out stop valve reversal instruction is used to close the stack-out stop valve for a preset time;

[0034] When the stack-out stop valve is closed for a preset time, recording a second output voltage of the stack-out stop valve;

[0035] When both the first output voltage and the second output voltage of the stack discharge cut-off valve satisfy a calibration range, determining that the first output voltage and the second output voltage of the stack discharge cut-off valve are valid;

[0036] A self-learning voltage of the stack discharge cut-off valve is determined based on the first output voltage and the second output voltage of the stack discharge cut-off valve.

[0037] Optionally, when the valve self-learning trigger signal is obtained, starting valve self-learning includes:

[0038] Obtaining a comparison result between the actual opening of the back pressure valve and a preset threshold value;

[0039] When the comparison result shows that the actual opening of the back pressure valve meets the preset threshold, a back pressure valve reversal instruction is determined, wherein the back pressure valve reversal instruction is used to close the back pressure valve for a preset time;

[0040] When the back pressure valve is closed for a preset time, recording a first output voltage of the back pressure valve, wherein the output voltage is obtained based on an opening sensor of the back pressure valve;

[0041] Obtaining a comparison result between the actual opening of the back pressure valve and the preset threshold value after the preset closing time of the back pressure valve ends;

[0042] When the comparison result shows that the actual opening of the back pressure valve meets the preset threshold, a back pressure valve reversal instruction is determined, wherein the back pressure valve reversal instruction is used to close the back pressure valve for a preset time;

[0043] When the back pressure valve is closed for a preset time, recording a second output voltage of the back pressure valve;

[0044] When both the first output voltage and the second output voltage of the back pressure valve satisfy a calibration interval, determining that the first output voltage and the second output voltage of the back pressure valve are valid;

[0045] A self-learning voltage of the back pressure valve is determined based on the first output voltage and the second output voltage of the back pressure valve.

[0046] Optionally, it is characterized in that the calibration interval of the first output voltage and the second output voltage is:

[0047] Vmin≤V1≤Vmax

[0048] Vmin≤V2≤Vmax

[0049] |V1-V2|≤△V

[0050] Wherein, Vmin is the minimum voltage calibration value, and Vmax is the maximum voltage calibration value.

[0051] V1 is the first output voltage, V2 is the second output voltage, △V

[0052] Calibrate the voltage differential.

[0053] Optionally, the above method further includes:

[0054] The self-learning voltage is determined based on the first output voltage and the second output voltage by the following formula:

[0055] V0=(V1+V2) / 2

[0056] Wherein, V0 is the self-learning voltage, V1 is the first output voltage, and V2 is the second output voltage.

[0057] In a second aspect, an embodiment of the present invention further provides a fuel cell air system valve self-learning device, comprising:

[0058] An acquisition unit, used for acquiring a valve self-learning trigger signal, wherein the valve self-learning trigger signal includes a periodic inspection signal and a valve or fuel cell controller replacement signal;

[0059] A learning unit, used to start valve self-learning when the valve self-learning trigger signal is obtained, wherein the valve includes a relief valve, a stack inlet stop valve, a stack outlet stop valve and a back pressure valve, and the valve self-learning is used to determine the self-learning voltage corresponding to each valve;

[0060] The correction unit is used to correct the valve opening based on the self-learning voltage corresponding to each valve.

[0061] In order to achieve the above object, according to the third aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the above program is executed by a processor, the steps of the above fuel cell air system valve self-learning method are implemented.

[0062] In order to achieve the above-mentioned purpose, according to the fourth aspect of the present invention, there is provided an electronic device, comprising at least one processor and at least one memory connected to the processor; wherein the above-mentioned processor is used to call the program instructions in the above-mentioned memory to execute the steps of the above-mentioned fuel cell air system valve self-learning method.

[0063] By means of the above technical scheme, the valve self-learning method and related equipment of the fuel cell air system provided by the present invention, for the problem of valve error caused by inconsistent factory calibration or aging and wear of valves, the present invention obtains a valve self-learning trigger signal, wherein the valve self-learning trigger signal includes a periodic inspection signal, a valve or fuel cell controller replacement signal; when the valve self-learning trigger signal is obtained, the valve self-learning is started, wherein the valve includes a discharge valve, an inlet stop valve, an outlet stop valve and a back pressure valve, and the valve self-learning is used to determine the self-learning voltage corresponding to each valve; the valve opening is corrected based on the self-learning voltage corresponding to each valve. In the above scheme, the deviation is actively corrected by valve self-learning, and the self-learning of the valve zero offset is used in the valve opening signal acquisition to eliminate the error caused by the valve zero offset. The accuracy of the valve position of the air system is ensured to avoid the problem that the system function fails or the performance is reduced due to the inaccurate air valve position signal. In particular, the sealing of the air path is ensured after the system is shut down, so that air cannot enter the stack and react with hydrogen to cause the high potential of the stack to damage the stack, thereby improving the life of the stack.

[0064] Correspondingly, the fuel cell air system valve self-learning device, equipment and computer-readable storage medium provided in the embodiments of the present invention also have the above-mentioned technical effects.

[0065] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0067] Figure 1 A schematic flow chart of a fuel cell air system valve self-learning method provided by an embodiment of the present invention is shown;

[0068] Figure 2 A schematic diagram of a combustion-electricity system provided by an embodiment of the present invention is shown;

[0069] Figure 3 A schematic diagram of an output characteristic curve of a valve opening sensor provided by an embodiment of the present invention is shown;

[0070] Figure 4A schematic block diagram showing the composition of a fuel cell air system valve self-learning device provided by an embodiment of the present invention is shown;

[0071] Figure 5 A schematic block diagram of the composition of a fuel cell air system valve self-learning electronic device provided by an embodiment of the present invention is shown;

[0072] Among them, there are fuel cell controller (FCCU) 01, fuel cell stack FCS (Fuel Cell Stack) 02, air filter 03, air flow meter 04, air compressor 05, air compressor controller 06, intercooler 07, air inlet shut-off valve 08, air outlet shut-off valve 09, air humidification system 10, air inlet temperature and pressure integrated sensor 11, air outlet pressure sensor 12, back pressure valve 13, relief valve 14 and mixed discharge 15. DETAILED DESCRIPTION

[0073] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0074] In order to solve the problem of valve error caused by inconsistent factory calibration or aging and wear of valves, an embodiment of the present invention provides a fuel cell air system valve self-learning method, such as Figure 1 As shown, the method includes:

[0075] S101, obtaining a valve self-learning trigger signal, wherein the valve self-learning trigger signal includes a periodic inspection signal and a valve or fuel cell controller replacement signal;

[0076] Exemplarily, the valve self-learning trigger signal can trigger the air valve self-learning when the fuel-electric system is inspected at the factory, when a new valve is replaced, or when the fuel cell controller is replaced.

[0077] Furthermore, during the life cycle of the fuel-electric system, the valves will age and wear out, so it is necessary to perform valve self-learning in a periodic manner. When the system is running, a timer will be turned on to count the system operation time. After each cycle, the valves need to be self-learned during the shutdown phase. The latest self-learning zero-point voltage data is applied to the valve opening signal data acquisition algorithm to correct the deviation of the valve position signal.

[0078] S102, when the valve self-learning trigger signal is obtained, start valve self-learning, wherein the valve includes a relief valve, a stack inlet stop valve, a stack outlet stop valve and a back pressure valve, and the valve self-learning is used to determine the self-learning voltage corresponding to each valve;

[0079] S103, correcting the valve opening based on the self-learning voltage corresponding to each valve.

[0080] In the above scheme, this deviation is actively corrected through valve self-learning, and the self-learning of the valve zero offset is used in the valve opening signal acquisition to eliminate the error caused by the valve zero offset. The accuracy of the valve position of the air system is guaranteed to avoid system failure or performance degradation due to inaccurate air valve position signals. In particular, the sealing of the air path is guaranteed after the system is shut down, so that air cannot enter the stack and react with hydrogen to cause high potential damage to the stack, thereby increasing the life of the stack.

[0081] Further, such as Figure 2 As shown, the embodiment of the present application also provides a fuel-electric system for implementing the above-mentioned fuel cell air system valve self-learning method:

[0082] Specifically, when the fuel cell system is working normally, the air system needs to provide sufficient air flow and pressure. The air compressor controller 06 controls the air compressor 05 to start working. The air at the air inlet is purified by the air filter 03 to remove impurities, dust and moisture in the air. The air flow, pressure and temperature signals of the air are collected by the air flow meter 04, and the relevant data information is transmitted to the fuel cell controller 01 through a hard line. The filtered air is compressed by the air compressor 05 and then cooled by the intercooler 07. A part of the cooled air flows into the air humidification system 10. The function of the air inlet shut-off valve 08 is to limit whether the air enters the stack. The humidified air will flow into the hydrogen of the cathode and anode of the fuel cell to react and generate electricity. Another part of the air cooled by the intercooler 07 enters the mixed exhaust 15 through the discharge valve 14 and is discharged to the atmosphere.

[0083] The remaining air from the reaction in the fuel cell will come out from the air outlet of the stack, first pass through the air outlet shut-off valve 09, and then pass through the back pressure valve 13 to be discharged into the mixed exhaust 15 system. The air filter 03 is used to filter impurities in the air and improve the air cleanliness. The air compressor 05 is used to compress the air at the air inlet to provide the required air flow for the stack FCS, and the back pressure valve 13 is used to control the air pressure entering the stack. The relief valve 14 is used to establish an air bypass. When the pressure entering the stack is too high, the relief valve 14 is opened to release the pressure. The air inlet shut-off valve 08 and the air outlet shut-off valve 09 are opened when the fuel-electric system is started and closed when it is shut down to ensure that the fuel cell stack 02 does not enter the air when it is shut down. Excess air is discharged into the atmosphere through the mixed exhaust 15. When the fuel-electric system is in normal operation, the fuel cell controller 01 collects the flow of the air flow meter 04, and the air inlet pressure Pai r1 and temperature Tai r1, the air outlet pressure Pai r2 and other information are used for air system status detection and control, and provide the stack with air of appropriate pressure and flow according to the stack operating conditions. When the system is shut down, the air system is shut down according to the corresponding operation. The fuel cell controller 01, as the brain of the entire control system, calculates the target output current of the fuel cell stack 02 according to the required power, and calculates the target air flow and pressure required by the air supply system, the current hydrogen flow and pressure required by the hydrogen supply system, and the current temperature of the cooling system according to the operating conditions of the stack, controls the actuators of each subsystem to provide the required air, hydrogen and temperature, and controls the PCU to load the current to achieve the required target power.

[0084] The output characteristics of the air valve opening sensor are as follows Figure 3 As shown, the relationship between the sensor output voltage and the opening is as follows: Formula 1. However, in reality, due to the inability to ensure consistency in sensor manufacturing and aging and wear, the voltage value corresponding to the zero opening of the sensor will change and will no longer be 0.5V. Therefore, it is necessary to continuously record the zero point offset through valve self-learning.

[0085]

[0086] Where Vout is the sensor signal voltage output, θ is the valve opening, and the constant 0.044 is based on Figure 3 Calculate the slope of the slope line.

[0087] Therefore, the relationship between the corrected valve opening sensor output voltage and opening is shown in Formula 2

[0088]

[0089] Among them, V0 is the self-learning voltage, that is, the output voltage corresponding to the valve opening of 0°.

[0090] This application focuses on the self-learning process of V0 data, as follows:

[0091] In one embodiment, when the valve self-learning trigger signal is obtained, the valve self-learning is started, including: when the relief valve self-learning is performed, the inlet stop valve, the outlet stop valve and the back pressure valve are opened; a comparison result between the actual opening of the relief valve and a preset threshold is obtained; when the comparison result is that the actual opening of the relief valve meets the preset threshold, a relief valve reversal instruction is determined, wherein the relief valve reversal instruction is used to close the relief valve for a preset time; when the relief valve is closed for a preset time, a first output voltage of the relief valve is recorded, wherein the output voltage is obtained based on the opening sensor of the relief valve; and the preset closing time of the relief valve is obtained. After the end of the calibration period, the actual opening of the relief valve is compared with the preset threshold value; when the comparison result is that the actual opening of the relief valve meets the preset threshold value, a relief valve reversal instruction is determined, wherein the relief valve reversal instruction is used to close the relief valve for a preset time; when the relief valve is closed for a preset time, the second output voltage of the relief valve is recorded; when the first output voltage and the second output voltage of the relief valve both meet the calibration interval, it is determined that the first output voltage and the second output voltage of the relief valve are valid; the self-learning voltage of the relief valve is determined based on the first output voltage and the second output voltage of the relief valve.

[0092] The self-learning of the relief valve starts and the timer T2 is started at the same time.

[0093] Set the target opening of the relief valve = θ On (calibrated 5°), the inlet stop valve, outlet stop valve and back pressure valve are fully opened; determine whether the actual opening of the relief valve is within the threshold, if so, send a relief valve reverse command to tighten the valve for a duration of T1 (calibrated 1.5s); record the output voltage V1_bypass of the relief valve opening sensor; send a relief valve forward command, and set the relief valve target opening = θ On (calibration quantity 5°); again determine whether the actual opening of the relief valve is within the threshold. If so, send a relief valve reversal command to tighten the valve for a duration of T1; record the output voltage V2_bypass of the relief valve opening sensor; determine the validity of V1_bypass and V2_bypass data. If the following conditions are met at the same time, the valve self-learning data is valid:

[0094] Vmin (calibrated value, 0.45V) ≤ V1_bypass ≤ Vmax (calibrated value, 0.55V)

[0095] Vmin (calibrated value, 0.45V) ≤ V2_bypass ≤ Vmax (calibrated value, 0.55V) | V1_bypass -

[0096] V2_bypass|≤△V (calibrated value 0.05V)

[0097] Furthermore, if the learning data is valid, the zero point correction voltage of the drain valve is calculated.

[0098] V0_bypass=(V1_bypass+V2_bypass) / 2

[0099] Among them, the above-mentioned Vmin is the minimum value of voltage calibration, the above-mentioned Vmax is the maximum value of voltage calibration, V1_bypass is the first output voltage of the discharge valve, V2_bypass is the second output voltage of the discharge valve, △V is the voltage calibration difference, and V0_bypass is the self-learning voltage of the discharge valve.

[0100] The above data is recorded and stored in EEPROM when the power is turned off. This application takes into account that the valve self-learning is before the fuel-electric system is shut down for purge, so the air machine is in an idling state, so the relief valve self-learning is first performed, and then the relief valve is fully opened to establish a bypass before the inlet stop valve, outlet stop valve and back pressure valve self-learning.

[0101] In one embodiment, when the valve self-learning trigger signal is obtained, valve self-learning is started, including: obtaining a comparison result of the actual opening of the stack entry cut-off valve and a preset threshold value; when the comparison result is that the actual opening of the stack entry cut-off valve meets the preset threshold value, determining a stack entry cut-off valve reversal instruction, wherein the stack entry cut-off valve reversal instruction is used to close the stack entry cut-off valve for a preset time; when the stack entry cut-off valve is closed for a preset time, recording a first output voltage of the stack entry cut-off valve, wherein the output voltage is obtained based on an opening sensor of the stack entry cut-off valve; obtaining a comparison result of the actual opening of the stack entry cut-off valve and a preset threshold value after the stack entry cut-off valve is closed for a preset time. The comparison result of the preset threshold value; when the comparison result is that the actual opening of the stack entry cut-off valve meets the preset threshold value, determining the stack entry cut-off valve reversal instruction, wherein the stack entry cut-off valve reversal instruction is used to close the stack entry cut-off valve for a preset time; when the stack entry cut-off valve is closed for a preset time, recording the second output voltage of the stack entry cut-off valve; when the first output voltage and the second output voltage of the stack entry cut-off valve both meet the calibration range, determining that the first output voltage and the second output voltage of the stack entry cut-off valve are valid; and determining the self-learning voltage of the stack entry cut-off valve based on the first output voltage and the second output voltage of the stack entry cut-off valve.

[0102] Set the relief valve to fully open, and the target opening of the stack cut-off valve = θ On， , the target opening of the discharge stop valve = θ On , back pressure valve target opening = θOn At the same time, timer T3 is started.

[0103] At the same time, the self-learning of the stack entry stop valve, the self-learning of the stack exit stop valve and the self-learning of the back pressure valve is carried out; the self-learning of the stack entry stop valve starts; it is judged whether the actual opening of the stack entry stop valve is within the threshold value, if so, a reverse command of the stack entry stop valve is sent to tighten the valve for a duration of T1 (calibrated 1.5s); the output voltage V1_ISPV of the stack entry stop valve opening sensor is recorded; a forward command of the stack entry stop valve is sent, and the target opening of the stack entry stop valve is set to θ On (calibration quantity 5°); again determine whether the actual opening of the stack entry stop valve is within the threshold. If so, send a stack entry stop valve reversal command to tighten the valve for a duration of T1; record the output voltage V2_I SPV of the stack entry stop valve opening sensor; determine the validity of V1_I SPV and V2_I SPV data. If the following conditions are met at the same time, the valve self-learning data is valid:

[0104] Vmin (calibrated value, 0.45V) ≤ V1_ISPV ≤ Vmax (calibrated value, 0.55V)

[0105] Vmin (calibrated value, 0.45V) ≤ V2_ISPV ≤ Vmax (calibrated value, 0.55V)

[0106] |V1_ISPV-V2_ISPV|≤△V(calibration value 0.05V)

[0107] Furthermore, if the learning data is valid, the zero point correction voltage of the stack cut-off valve is calculated:

[0108] V0_I SPV=(V1_I SPV+V2_I SPV) / 2

[0109] Among them, the above-mentioned Vmin is the minimum value of voltage calibration, the above-mentioned Vmax is the maximum value of voltage calibration, V1_I SPV is the first output voltage of the stack entry cut-off valve, V2_I SPV is the second output voltage of the stack entry cut-off valve, △V is the voltage calibration difference, and V0_I SPV is the self-learning voltage of the stack entry cut-off valve.

[0110] At the same time, the data is recorded and stored in EEPROM when the power is turned off.

[0111] In one embodiment, when the valve self-learning trigger signal is obtained, the valve self-learning is started, including: obtaining a comparison result of the actual opening of the stack-out stop valve and a preset threshold value; when the comparison result is that the actual opening of the stack-out stop valve meets the preset threshold value, determining a stack-out stop valve reversal instruction, wherein the stack-out stop valve reversal instruction is used to close the stack-out stop valve for a preset time; when the stack-out stop valve is closed for a preset time, recording a first output voltage of the stack-out stop valve, wherein the output voltage is obtained based on the opening sensor of the stack-out stop valve; obtaining a comparison result of the actual opening of the stack-out stop valve and a preset threshold value after the preset closing time of the stack-out stop valve ends. The comparison result of the preset threshold value; when the comparison result is that the actual opening of the stack-out shut-off valve satisfies the preset threshold value, determining a reversal instruction of the stack-out shut-off valve, wherein the reversal instruction of the stack-out shut-off valve is used to close the stack-out shut-off valve for a preset time; when the stack-out shut-off valve is closed for a preset time, recording the second output voltage of the stack-out shut-off valve; when the first output voltage and the second output voltage of the stack-out shut-off valve both satisfy the calibration interval, determining that the first output voltage and the second output voltage of the stack-out shut-off valve are valid; and determining the self-learning voltage of the stack-out shut-off valve based on the first output voltage and the second output voltage of the stack-out shut-off valve.

[0112] Determine whether the actual opening of the stack stop valve is within the threshold. If so, send a stack stop valve reversal command to tighten the valve for a duration of T1 (calibrated 1.5s).

[0113] Record the output voltage V1_OSPV of the stack cut-off valve opening sensor; send a forward rotation command for the stack cut-off valve, and set the stack cut-off valve target opening = θ On (calibration quantity 5°); again determine whether the actual opening of the stack stop valve is within the threshold. If so, send a stack stop valve reversal command to tighten the valve for a duration of T1; record the stack stop valve opening sensor output voltage V2_OSPV; determine the validity of V1_OSPV and V2_OSPV data. If the following conditions are met at the same time, the valve self-learning data is valid:

[0114] Vmin (calibrated value, 0.45V) ≤ V1_OSPV ≤ Vmax (calibrated value, 0.55V)

[0115] Vmin (calibrated value, 0.45V) ≤ V2_OSPV ≤ Vmax (calibrated value, 0.55V)

[0116] |V1_OSPV-V2_OSPV|≤△V (calibrated value 0.05V)

[0117] Furthermore, if the learning data is valid, the zero point correction voltage of the stack cut-off valve is calculated.

[0118] V0_OSPV=(V1_OSPV+V2_OSPV) / 2

[0119] Among them, the above-mentioned Vmin is the minimum voltage calibration value, the above-mentioned Vmax is the maximum voltage calibration value, V1_OSPV is the first output voltage of the stack cut-off valve, V2_OSPV is the second output voltage of the stack cut-off valve, △V is the voltage calibration difference, and V0_OSPV is the self-learning voltage of the stack cut-off valve.

[0120] At the same time, the data is recorded and stored in EEPROM when power is off.

[0121] In one embodiment, when the valve self-learning trigger signal is obtained, valve self-learning is started, including: obtaining a comparison result of the actual opening of the back-pressure valve and a preset threshold value; when the comparison result is that the actual opening of the back-pressure valve meets the preset threshold value, determining a back-pressure valve reversal instruction, wherein the back-pressure valve reversal instruction is used to close the back-pressure valve for a preset time; when the back-pressure valve is closed for a preset time, recording a first output voltage of the back-pressure valve, wherein the output voltage is obtained based on the opening sensor of the back-pressure valve; obtaining a comparison result of the actual opening of the back-pressure valve and the preset threshold value after the back-pressure valve is closed for a preset time. The comparison result of the preset threshold value; when the comparison result is that the actual opening of the back-pressure valve satisfies the preset threshold value, determining a back-pressure valve reversal instruction, wherein the back-pressure valve reversal instruction is used to close the back-pressure valve for a preset time; when the back-pressure valve is closed for the preset time, recording the second output voltage of the back-pressure valve; when the first output voltage and the second output voltage of the back-pressure valve both satisfy the calibration range, determining that the first output voltage and the second output voltage of the back-pressure valve are valid; determining the self-learning voltage of the back-pressure valve based on the first output voltage and the second output voltage of the back-pressure valve.

[0122] Back pressure valve self-learning starts:

[0123] Determine whether the actual opening of the back pressure valve is within the threshold. If so, send a back pressure valve reverse command to tighten the valve for a duration of T1 (calibrated 1.5s); record the output voltage V1_BPV of the back pressure valve opening sensor; send a back pressure valve forward command and set the back pressure valve target opening = θ On (calibration quantity 5°); again determine whether the actual opening of the back pressure valve is within the threshold. If so, send a back pressure valve reversal command to tighten the valve for a duration of T1; record the output voltage V2_BPV of the back pressure valve opening sensor; determine the validity of V1_BPV and V2_BPV data. If the following conditions are met at the same time, the valve self-learning data is valid:

[0124] Vmin (calibrated value, 0.45V) ≤ V1_BPV ≤ Vmax (calibrated value, 0.55V)

[0125] Vmin (calibrated value, 0.45V) ≤ V2_BPV ≤ Vmax (calibrated value, 0.55V)

[0126] |V1_BPV-V2_BPV|≤△V (calibrated value 0.05V)

[0127] If the learning data is valid, calculate the back pressure valve zero point calibration voltage:

[0128] V0_BPV=(V1_BPV+V2_BPV) / 2

[0129] Among them, the above-mentioned Vmin is the minimum value of voltage calibration, the above-mentioned Vmax is the maximum value of voltage calibration, V1_BPV is the first output voltage of the back pressure valve, V2_BPV is the second output voltage of the back pressure valve, △V is the voltage calibration difference, and V0_BPV is the self-learning voltage of the back pressure valve.

[0130] At the same time, the data is recorded and stored in EEPROM when the power is turned off.

[0131] In summary, the calibration intervals of the first output voltage and the second output voltage are:

[0132] Vmin≤V1≤Vmax

[0133] Vmin≤V2≤Vmax

[0134] |V1-V2|≤△V

[0135] Wherein, Vmin is the minimum voltage calibration value, and Vmax is the maximum voltage calibration value.

[0136] V1 is the first output voltage, V2 is the second output voltage, △V

[0137] Calibrate the voltage differential.

[0138] The self-learning voltage is determined based on the first output voltage and the second output voltage by the following formula:

[0139] V0=(V1+V2) / 2

[0140] Wherein, V0 is the self-learning voltage, V1 is the first output voltage, and V2 is the second output voltage.

[0141] It should be noted that if the data of the first output voltage and the second output voltage are invalid, or the value of the timer T2 / T3 exceeds the threshold T delay, the learning is judged to have failed, the learning is stopped, no data is recorded, and the fuel-electric system will learn again the next time it stops.

[0142] Furthermore, as a response to the above Figure 1 In order to realize the method shown in the figure, the embodiment of the present invention also provides a fuel cell air system valve self-learning device for Figure 1 The device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this device embodiment will not repeat the details of the aforementioned method embodiment one by one, but it should be clear that the device in this embodiment can correspond to all the contents of the aforementioned method embodiment. Figure 4 As shown, the device includes: an acquisition unit 21, a learning unit 22 and a correction unit 23, wherein

[0143] An acquisition unit 21, used for acquiring a valve self-learning trigger signal, wherein the valve self-learning trigger signal includes a periodic inspection signal, a valve or fuel cell controller replacement signal;

[0144] The learning unit 22 is used to start valve self-learning when the valve self-learning trigger signal is obtained, wherein the valve includes a relief valve, a stack inlet stop valve, a stack outlet stop valve and a back pressure valve, and the valve self-learning is used to determine the self-learning voltage corresponding to each valve;

[0145] The correction unit 23 is used to correct the valve opening based on the self-learning voltage corresponding to each valve.

[0146] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set, and a fuel cell air system valve self-learning method is implemented by adjusting kernel parameters, which can solve the problem of valve error caused by inconsistent factory calibration or aging and wear of valves.

[0147] An embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, and when the program is executed by a processor, the fuel cell air system valve self-learning method is implemented.

[0148] An embodiment of the present invention provides a processor, which is used to run a program, wherein the fuel cell air system valve self-learning method is executed when the program is running.

[0149] An embodiment of the present invention provides an electronic device, the electronic device comprising at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the fuel cell air system valve self-learning method as described above

[0150] An embodiment of the present invention provides an electronic device 30, such as Figure 5 As shown, the electronic device includes at least one processor 301, and at least one memory 302 and a bus 303 connected to the processor; wherein the processor 301 and the memory 302 communicate with each other via the bus 303; the processor 301 is used to call the program instructions in the memory to execute the above-mentioned fuel cell air system valve self-learning method.

[0151] The intelligent electronic devices in this article can be PCs, PADs, mobile phones, etc.

[0152] The present application also provides a computer program product, which, when executed on a process management electronic device, is suitable for executing a program that initializes the above-mentioned fuel cell air system valve self-learning method steps.

[0153] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0154] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0155] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0156] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0157] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0158] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 This corresponds to the flow of control of the memory in the embodiment.

[0159] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0160] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0161] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0162] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0163] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0164] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0165] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A fuel cell air system valve self-learning method, characterized in that: include: Acquire a valve self-learning trigger signal, wherein the valve self-learning trigger signal includes a periodic inspection signal and a valve or fuel cell controller replacement signal; When the valve self-learning trigger signal is obtained, valve self-learning is started, wherein the valve includes a relief valve, a stack inlet stop valve, a stack outlet stop valve and a back pressure valve, and the valve self-learning is used to determine the self-learning voltage corresponding to each valve; The valve opening is corrected based on the self-learning voltage corresponding to each valve.

2. The method according to claim 1, characterized in that When the valve self-learning trigger signal is obtained, the valve self-learning is started, including: When the relief valve self-learning is in progress, open the inlet stop valve, outlet stop valve and back pressure valve; Obtaining a comparison result between the actual opening of the relief valve and a preset threshold value; When the comparison result shows that the actual opening of the relief valve meets the preset threshold, determining a relief valve reversal instruction, wherein the relief valve reversal instruction is used to close the relief valve for a preset time; When the discharge valve is closed for a preset time, recording a first output voltage of the discharge valve, wherein the output voltage is obtained based on an opening sensor of the discharge valve; Obtaining a comparison result between the actual opening of the discharge valve and the preset threshold value after the preset closing time of the discharge valve ends; When the comparison result shows that the actual opening of the relief valve meets the preset threshold, determining a relief valve reversal instruction, wherein the relief valve reversal instruction is used to close the relief valve for a preset time; When the discharge valve is closed for a preset time, recording a second output voltage of the discharge valve; When both the first output voltage and the second output voltage of the relief valve satisfy a calibration interval, determining that the first output voltage and the second output voltage of the relief valve are valid; A self-learning voltage of the leakage valve is determined based on the first output voltage and the second output voltage of the leakage valve.

3. The method according to claim 1, characterized in that When the valve self-learning trigger signal is obtained, the valve self-learning is started, including: Obtaining a comparison result between the actual opening of the stack entry stop valve and a preset threshold value; If the comparison result shows that the actual opening of the stack entry stop valve meets the preset threshold, determining a stack entry stop valve reversal instruction, wherein the stack entry stop valve reversal instruction is used to close the stack entry stop valve for a preset time; When the stack entry cut-off valve is closed for a preset time, recording a first output voltage of the stack entry cut-off valve, wherein the output voltage is obtained based on an opening sensor of the stack entry cut-off valve; Obtaining a comparison result between the actual opening of the stack entry stop valve and the preset threshold value after the preset closing time of the stack entry stop valve ends; If the comparison result shows that the actual opening of the stack entry stop valve meets the preset threshold, determining a stack entry stop valve reversal instruction, wherein the stack entry stop valve reversal instruction is used to close the stack entry stop valve for a preset time; When the stack entry cut-off valve is closed for a preset time, recording a second output voltage of the stack entry cut-off valve; When both the first output voltage and the second output voltage of the stack entry cut-off valve satisfy a calibration range, determining that the first output voltage and the second output voltage of the stack entry cut-off valve are valid; A self-learning voltage of the stack entry cut-off valve is determined based on the first output voltage and the second output voltage of the stack entry cut-off valve.

4. The method according to claim 1, characterized in that: When the valve self-learning trigger signal is obtained, the valve self-learning is started, including: Obtaining a comparison result between the actual opening of the stack-out stop valve and a preset threshold value; When the comparison result shows that the actual opening of the stack-out stop valve meets the preset threshold, a stack-out stop valve reversal instruction is determined, wherein the stack-out stop valve reversal instruction is used to close the stack-out stop valve for a preset time; When the stack-out stop valve is closed for a preset time, recording a first output voltage of the stack-out stop valve, wherein the output voltage is obtained based on an opening sensor of the stack-out stop valve; Obtaining a comparison result between the actual opening of the stack-out stop valve and the preset threshold value after the preset closing time of the stack-out stop valve ends; When the comparison result shows that the actual opening of the stack-out stop valve meets the preset threshold, a stack-out stop valve reversal instruction is determined, wherein the stack-out stop valve reversal instruction is used to close the stack-out stop valve for a preset time; When the stack-out stop valve is closed for a preset time, recording a second output voltage of the stack-out stop valve; When both the first output voltage and the second output voltage of the stack discharge cut-off valve satisfy a calibration range, determining that the first output voltage and the second output voltage of the stack discharge cut-off valve are valid; A self-learning voltage of the stack discharge cut-off valve is determined based on the first output voltage and the second output voltage of the stack discharge cut-off valve.

5. The method according to claim 1, characterized in that When the valve self-learning trigger signal is obtained, the valve self-learning is started, including: Obtaining a comparison result between the actual opening of the back pressure valve and a preset threshold value; When the comparison result shows that the actual opening of the back pressure valve meets the preset threshold, a back pressure valve reversal instruction is determined, wherein the back pressure valve reversal instruction is used to close the back pressure valve for a preset time; When the back pressure valve is closed for a preset time, recording a first output voltage of the back pressure valve, wherein the output voltage is obtained based on an opening sensor of the back pressure valve; Obtaining a comparison result between the actual opening of the back pressure valve and the preset threshold value after the preset closing time of the back pressure valve ends; When the comparison result shows that the actual opening of the back pressure valve meets the preset threshold, a back pressure valve reversal instruction is determined, wherein the back pressure valve reversal instruction is used to close the back pressure valve for a preset time; When the back pressure valve is closed for a preset time, recording a second output voltage of the back pressure valve; When both the first output voltage and the second output voltage of the back pressure valve satisfy a calibration interval, determining that the first output voltage and the second output voltage of the back pressure valve are valid; A self-learning voltage of the back pressure valve is determined based on the first output voltage and the second output voltage of the back pressure valve.

6. The method according to any one of claims 2 to 5, characterized in that: The calibration intervals of the first output voltage and the second output voltage are: Vmin≤V1≤Vmax Vmin≤V2≤Vmax |V1-V2|≤△V Wherein, Vmin is the minimum voltage calibration value, and Vmax is the maximum voltage calibration value. V1 is the first output voltage, V2 is the second output voltage, △V Calibrate the voltage differential.

7. The method according to any one of claims 2 to 5, characterized in that: Also includes: The self-learning voltage is determined based on the first output voltage and the second output voltage by the following formula: V0=(V1+V2) / 2 Wherein, V0 is the self-learning voltage, V1 is the first output voltage, and V2 is the second output voltage.

8. A fuel cell air system valve self-learning device, characterized in that: Also includes: An acquisition unit, used for acquiring a valve self-learning trigger signal, wherein the valve self-learning trigger signal includes a periodic inspection signal and a valve or fuel cell controller replacement signal; A learning unit, used to start valve self-learning when the valve self-learning trigger signal is obtained, wherein the valve includes a relief valve, a stack inlet stop valve, a stack outlet stop valve and a back pressure valve, and the valve self-learning is used to determine the self-learning voltage corresponding to each valve; The correction unit is used to correct the valve opening based on the self-learning voltage corresponding to each valve.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the steps of the fuel cell air system valve self-learning method according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The electronic device includes at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the steps of the fuel cell air system valve self-learning method as described in any one of claims 1 to claim 7.

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