Method and device for determining pump pressure of urea pump, and computer-readable storage medium

Abstract

The present invention discloses a method and device for determining the pump pressure of a urea pump, and a computer-readable storage medium. The method comprises: after detecting first characteristic information of the urea pump, collecting second characteristic information of the urea pump, wherein the first characteristic information includes: pump stroke cycle information of the urea pump and current information of the urea pump; and the second characteristic information includes: current information at characteristic points within the pump stroke cycle of the urea pump, time information corresponding to the characteristic points, and the power supply voltage of the urea pump; determining a pump pressure simulation mode of the urea pump based on the second characteristic information; obtaining a simulated pump pressure of the urea pump based on the pump pressure simulation mode; and determining a target pump pressure of the urea pump during operation based on the simulated pump pressure and the sensed pump pressure, wherein the sensed pump pressure is the pump pressure of the urea pump detected by the sensing component. The present invention solves the technical problem of low injection accuracy caused by deviation in sensor pressure measurement in the related art.

Description

Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a method and device for determining the pump pressure of a urea pump, and a computer-readable storage medium. Background Art

[0002] A post-installed Selective Catalytic Reduction (SCR) system treats nitrogen oxides in engine exhaust, reducing the amount released into the atmosphere. A urea pump supplies urea, with pump pressure measured by a pressure sensor. Any deviation in the pressure sensor's measurement can affect injection accuracy, further impacting exhaust emissions.

[0003] With respect to the problem that measurement deviation is prone to occur when measuring the pump pressure of a urea pump in the above-mentioned related technologies, no effective solution has been proposed so far. Summary of the Invention

[0004] An embodiment of the present invention provides a method for determining the pump pressure of a urea pump, so as to at least solve the technical problem of low injection accuracy caused by deviation in sensor pressure measurement.

[0005] According to one aspect of an embodiment of the present invention, a method for determining the pump pressure of a urea pump is provided, comprising: after detecting first characteristic information of a urea pump, collecting second characteristic information of the urea pump, wherein the first characteristic information comprises: pump stroke cycle information of the urea pump and current information of the urea pump, and the second characteristic information comprises: current information of the urea pump at characteristic points within the pump stroke cycle, time information corresponding to the characteristic points, and a power supply voltage of the urea pump; determining a pump pressure simulation mode of the urea pump based on the second characteristic information, wherein the pump pressure simulation mode is a pre-set mode for performing pump pressure simulation on the urea pump; obtaining a simulated pump pressure of the urea pump based on the pump pressure simulation mode; and determining a target pump pressure of the urea pump when the urea pump is in operation according to the simulated pump pressure and a sensed pump pressure, wherein the sensed pump pressure is the pump pressure of the urea pump detected by a sensing component.

[0006] Optionally, before detecting the characteristic information of the urea pump, the method for determining the pump pressure of the urea pump further includes: applying pressure to the urea pump in response to a pressure building instruction.

[0007] Optionally, before detecting the characteristic information of the urea pump, the method for determining the pump pressure of the urea pump further includes: collecting power supply information of the urea pump; and determining whether the power supply of the urea pump is normal based on the power supply information.

[0008] Optionally, the method for determining the pump pressure of the urea pump further includes: when the first characteristic information of the urea pump is not detected, judging whether the current parameter of the urea pump is detected in multiple pump stroke cycles, and obtaining a judgment result; when the judgment result indicates that the current parameter of the urea pump is not detected in the multiple pump stroke cycles, determining that the simulated pump pressure of the urea pump is abnormal, and outputting abnormal information.

[0009] Optionally, the pump pressure simulation mode of the urea pump is determined based on the second characteristic information, including: when the characteristic point is one, determining the pump pressure simulation mode as a multivariate linear fitting mode; when the characteristic point is at least two, determining the pump pressure simulation mode as a multivariate linear fitting mode and a fitting mode based on a convolutional neural network model.

[0010] Optionally, obtaining the simulated pump pressure of the urea pump based on the pump pressure simulation method includes: when there is one characteristic point, performing multivariate linear fitting on the second characteristic information using the multivariate linear fitting method to obtain the simulated pump pressure; when there are at least two characteristic points, respectively fitting the second characteristic information using the multivariate linear fitting method and the fitting method based on the convolutional neural network model to obtain a fitting result, and obtaining the simulated pump pressure based on the fitting result.

[0011] Optionally, the method further includes: determining a pump pressure difference between the simulated pump pressure and the sensed pump pressure; and when the pump pressure difference is greater than a predetermined threshold, determining that the sensing component is abnormal and outputting abnormality information.

[0012] Optionally, determining the target pump pressure of the urea pump when it is working based on the simulated pump pressure and the sensed pump pressure includes: using the simulated pump pressure to verify the sensed pump pressure to obtain a verification result; when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is less than a predetermined difference, determining the sensed pump pressure to be the target pump pressure; when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is not less than the predetermined difference, determining the simulated pump pressure to be the target pump pressure.

[0013] According to another aspect of an embodiment of the present invention, a pump pressure determination device for a urea pump is provided, comprising: a first acquisition unit, configured to acquire second characteristic information of the urea pump after detecting first characteristic information of the urea pump, wherein the first characteristic information includes pump stroke cycle information of the urea pump and current information of the urea pump, and the second characteristic information includes current information of the urea pump at characteristic points within the pump stroke cycle, time information corresponding to the characteristic points, and a power supply voltage of the urea pump; a first determination unit, configured to determine a pump pressure simulation mode of the urea pump based on the second characteristic information, wherein the pump pressure simulation mode is a pre-set mode for performing pump pressure simulation on the urea pump; an acquisition unit, configured to acquire a simulated pump pressure of the urea pump based on the pump pressure simulation mode; and a second determination unit, configured to determine a target pump pressure of the urea pump when the urea pump is in operation according to the simulated pump pressure and a sensed pump pressure, wherein the sensed pump pressure is the pump pressure of the urea pump detected by a sensing component.

[0014] Optionally, the pump pressure determination device of the urea pump further includes: a pressure applying unit, configured to apply pressure to the urea pump in response to a pressure building instruction before detecting characteristic information of the urea pump.

[0015] Optionally, the pump pressure determination device of the urea pump further includes: a second acquisition unit, configured to acquire power supply information of the urea pump before detecting characteristic information of the urea pump; and a third determination unit, configured to determine whether the power supply of the urea pump is normal based on the power supply information.

[0016] Optionally, the pump pressure determination device of the urea pump further includes: a judgment unit, for judging whether the current parameter of the urea pump is detected in multiple pump stroke cycles when the first characteristic information of the urea pump is not detected, and obtaining a judgment result; a fourth determination unit, for determining that the simulated pump pressure of the urea pump is abnormal and outputting abnormality information when the judgment result indicates that the current parameter of the urea pump is not detected in the multiple pump stroke cycles.

[0017] Optionally, the first determination unit includes: a first determination module, used to determine that the pump pressure simulation method is a multivariate linear fitting method when there is one characteristic point; a second determination module, used to determine that the pump pressure simulation method is a multivariate linear fitting method and a fitting method based on a convolutional neural network model when there are at least two characteristic points.

[0018] Optionally, the second determination unit includes: a first fitting module, used to perform multivariate linear fitting on the second characteristic information using the multivariate linear fitting method to obtain the simulated pump pressure when there is one characteristic point; a second fitting module, used to fit the second characteristic information using the multivariate linear fitting method and the fitting method based on the convolutional neural network model, respectively, to obtain a fitting result when there are at least two characteristic points, and obtain the simulated pump pressure based on the fitting result.

[0019] Optionally, the device further includes: a fifth determination unit for determining a pump pressure difference between the simulated pump pressure and the sensed pump pressure; and a sixth determination unit for determining that the sensing component is abnormal and outputting abnormality information when the pump pressure difference is greater than a predetermined threshold.

[0020] Optionally, the second determination unit includes: a verification module for verifying the sensed pump pressure using the simulated pump pressure to obtain a verification result; a third determination module for determining that the sensed pump pressure is the target pump pressure when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is less than a predetermined difference; and a fourth determination module for determining that the simulated pump pressure is the target pump pressure when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is not less than a predetermined difference.

[0021] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed by a processor, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods for determining the pump pressure of a urea pump.

[0022] According to another aspect of the embodiments of the present invention, a processor is further provided, wherein the processor is configured to run a computer program, wherein the computer program executes any one of the above-mentioned methods for determining the pump pressure of a urea pump when running.

[0023] In an embodiment of the present invention, the pressure inside the pump is deduced through the parameters by measuring parameters, thereby achieving the purpose of verifying the pressure value inside the pump, thereby achieving the technical effect of improving the injection accuracy, and further solving the technical problem of low injection accuracy caused by deviation in sensor pressure measurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0025] FIG1 is a hardware structure block diagram of a method for determining the pump pressure of a urea pump according to an embodiment of the present invention;

[0026] 2 is a flow chart of a method for determining the pump pressure of a urea pump according to an embodiment of the present invention;

[0027] 3 is a structural diagram of a urea injection system in which a urea pump is located according to an embodiment of the present invention;

[0028] 4 is a flow chart of an optional method for determining the pump pressure of a urea pump according to an embodiment of the present invention;

[0029] FIG5 is a schematic diagram of a pump pressure determination device of a urea pump according to an embodiment of the present invention.

[0030] The above drawings include the following reference numerals:

[0031] 301. Urea pump; 302. Liquid inlet pipeline; 303. Heating return liquid pipeline; 304. Heating liquid inlet pipeline; 305. Heating circulating water tank; 306. Control circuit; 307. Urea sensor component; 308. Heating injection pipeline; 309. Engine cooling circulating water; 310. Injection metering module; 311. Electronic control unit ECU. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0034] Example 1

[0035] According to an embodiment of the present invention, an embodiment of a method for determining the pump pressure of a urea pump is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0036] This method embodiment can be executed in an electronic device or similar computing device in a vehicle that includes memory and a processor. For example, as shown in Figure 1 , the vehicle's electronic device can include one or more processors 102 (processors may include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), digital signal processing (DSP) chips, microprocessors (MCUs), field-programmable logic devices (FPGAs), neural network processors (NPUs), tensor processing units (TPUs), artificial intelligence (AI) processors, and other processing devices) and memory 104 for storing data. Optionally, the vehicle's electronic device may also include a transmission device 106 for communication functions, input / output devices 108, and a display device 110. Those skilled in the art will appreciate that the structure shown in Figure 1 is merely illustrative and does not limit the structure of the vehicle's electronic device. For example, the vehicle's electronic device may include more or fewer components than described above, or have a different configuration than described above.

[0037] The memory 104 can be used to store computer programs, such as software programs and modules of application software, such as the computer program corresponding to the method for determining the pump pressure of a urea pump in an embodiment of the present invention. The processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, thereby implementing the aforementioned method for determining the pump pressure of a urea pump. The memory 104 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some embodiments, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories may be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0038] Transmission device 106 is configured to receive or transmit data via a network. A specific embodiment of the aforementioned network may include a wireless network provided by the mobile terminal's communications provider. In one embodiment, transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In another embodiment, transmission device 106 may be a radio frequency (RF) module configured to communicate with the Internet wirelessly.

[0039] The display device 110 may be, for example, a touch screen liquid crystal display (LCD) and a touch display (also referred to as a "touch screen" or "touch display"). The LCD may enable a user to interact with a user interface of the mobile terminal. In some embodiments, the mobile terminal may have a graphical user interface (GUI), and a user may interact with the GUI by finger contact and / or gestures on a touch-sensitive surface. The human-computer interaction functions herein may optionally include the following interactions: creating web pages, drawing, word processing, making electronic documents, games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital videos, playing digital music and / or web browsing, etc. Executable instructions for executing the above human-computer interaction functions are configured / stored in a computer program product or readable storage medium executable by one or more processors.

[0040] FIG2 is a method for determining the pump pressure of a urea pump according to an embodiment of the present invention. As shown in FIG2 , the method includes the following steps:

[0041] Step S202: After detecting the first characteristic information of the urea pump, collecting the second characteristic information of the urea pump, wherein the first characteristic information includes: pump stroke cycle information of the urea pump and current information of the urea pump; the second characteristic information includes: current information of the urea pump at a characteristic point within the pump stroke cycle, time information at the characteristic point, and the power supply voltage of the urea pump.

[0042] Among the first characteristic information, the pump stroke cycle information is the pump stroke start information of the urea pump, that is, the start information of the urea pump's repetitive operation of absorbing and pumping urea. The current information here can be the current when the urea pump is operating.

[0043] In the above second characteristic information, the characteristic point is selected based on the actual working conditions, and can be the point where the diaphragm of the urea pump starts to move within a complete stroke, or the point where the stroke reaches its maximum. Of course, it can also be other points, which will not be repeated here.

[0044] The above-mentioned supply voltage can be the voltage value collected at the above-mentioned characteristic point, or can be the voltage over the entire stroke.

[0045] Step S204 : determining a pump pressure simulation mode of the urea pump based on the second characteristic information, wherein the pump pressure simulation mode is a preset mode for performing pump pressure simulation on the urea pump.

[0046] In this embodiment, the pump pressure simulation mode may be determined based on the amount of information collected about the characteristic points.

[0047] For example, when the current information, time information, and supply voltage of two characteristic points are collected, the pump pressure is fitted using both the multivariate linear polynomial method (i.e., the multivariate linear fitting method in the context) and the convolutional neural network model; in other cases, only the multivariate linear polynomial method is used for pump pressure fitting.

[0048] Step S206 : obtaining the simulated pump pressure of the urea pump based on the pump pressure simulation method.

[0049] Step S208 : determining a target pump pressure of the urea pump when it is operating according to the simulated pump pressure and the sensed pump pressure, wherein the sensed pump pressure is the pump pressure of the urea pump detected by the sensing component.

[0050] Through the above steps, it is possible to select a pump pressure simulation mode according to the collected first characteristic information and second characteristic information of the urea pump, and determine the target pump pressure of the urea pump according to the simulated pump pressure of the urea pump, so that the target pump pressure of the urea pump can be verified, thereby effectively improving the injection accuracy of the urea pump and solving the technical problem of low injection accuracy caused by deviation in sensor pressure measurement in related technologies.

[0051] As shown in Figure 3 (which is a block diagram of a urea injection system incorporating a urea pump according to an embodiment of the present invention), the system comprises a urea pump 301, a liquid inlet line 302, a heated return line 303, a heated liquid inlet line 304, a heated circulating water tank 305, a control circuit 306, a urea sensor component 307, a heated injection line 308, an engine cooling circulating water system 309, an injection metering module 310, and an electronic control unit (ECU) 311. Urea pump 301 is used as a metered injection unit for the diesel engine exhaust aftertreatment (SCR) system, providing the necessary injection pressure and flow for the SCR selective catalytic reduction (SCR) metering system. The pump does not meter the urea injection volume; the system uses a dedicated electronically controlled urea nozzle for metered injection. The ECU 311 directly collects signals from the pump's internal pressure sensor and communicates with the pump's internal controller via PWM to control the pump's motor. The ECU maintains pressure stability through an algorithm-controlled algorithm.

[0052] As an optional embodiment, before the characteristic information of the urea pump is detected, the method for determining the pump pressure of the urea pump may further include: applying pressure to the urea pump in response to a pressure building instruction. In this embodiment, an electromagnetic diaphragm pump is used to power the urine pump and start to build pressure to supply the urine pump, and detect whether relevant parameters are detected. If valid parameters are received, parameter fitting is performed to calculate the pump pressure. The structure of the electromagnetic diaphragm pump consists of a shell, a fixed iron core, a moving iron core, a coil and a diaphragm. When the pump starts working, the coil is energized, and the moving iron core drives the diaphragm to move up and down to pressurize the urea. In this process, the current when the diaphragm starts to move after each stroke starts is selected. and time , the current corresponding to when the stroke reaches the highest point and time , also consider the supply voltage The situation is taken as the characteristic point of the pressure model to calculate the pump pressure.

[0053] Specifically, before detecting characteristic information of the urea pump, the method for determining the pump pressure of the urea pump may further include: collecting power supply information of the urea pump; and determining whether the power supply of the urea pump is normal based on the power supply information. This configuration can ensure whether current is flowing through the urea pump and whether the urea pump is operating normally.

[0054] Optionally, the method for determining the pump pressure of the urea pump may further include: when the first characteristic information of the urea pump is not detected, determining whether a current parameter of the urea pump is detected during multiple pump stroke cycles, and obtaining a determination result; when the determination result indicates that the current parameter of the urea pump is not detected during the multiple pump stroke cycles, determining that the simulated pump pressure of the urea pump is abnormal and outputting abnormality information. This configuration ensures whether current is flowing through the urea pump and detects whether the urea pump is operating normally.

[0055] In an optional embodiment, a pump pressure simulation method for the urea pump is determined based on the second characteristic information, including: determining the pump pressure simulation method as a multivariate linear fitting method when there is only one characteristic point; and determining the pump pressure simulation method as a multivariate linear fitting method and a convolutional neural network model-based fitting method when there are at least two characteristic points. This configuration allows the appropriate urea pump pressure simulation method to be selected based on the second characteristic information, thereby ensuring the accuracy of urea pump pressure verification.

[0056] Optionally, obtaining the simulated pump pressure of the urea pump based on the pump pressure simulation method may include: when there is only one characteristic point, performing a multivariate linear fit on the second characteristic information using a multivariate linear fit method to obtain the simulated pump pressure; when there are at least two characteristic points, performing a multivariate linear fit on the second characteristic information using a multivariate linear fit method and a fit method based on a convolutional neural network model, respectively, to obtain fitting results, and obtaining the simulated pump pressure based on the fitting results. In this embodiment, different pump pressure fitting methods can be determined based on the number of characteristic points, thereby making the simulated pump pressure more accurate, and further making the determined pump pressure during operation of the urea pump more accurate, thereby improving the injection accuracy of the urea pump.

[0057] In another embodiment of the present application, a multivariate linear polynomial method is used to perform parameter fitting, and different fitting formulas and fitting coefficients are selected according to the different parameters detected. When the current when the diaphragm starts to move is detected within a complete stroke, and time And the current corresponding to when the stroke reaches the highest point and time , select formula (1) as the pressure calculation formula, and the fitting coefficient is ; When only current is detected and time , select formula (2) as the pressure calculation formula, and the fitting coefficient is ; When only current is detected and time When formula (3) is selected as the pressure calculation formula, the fitting coefficient is .

[0058] (1)

[0059] (2)

[0060] (3)

[0061] In another embodiment of the present application, the pressure model calculated when there are at least two characteristic points (the pump pressure and the supply voltage are both within a certain range) is more accurate, and a convolutional neural network is used to perform multivariate nonlinear parameter fitting to construct a convolutional neural network model, including an input layer, a convolution layer, a pooling layer, a fully connected layer, and an output layer.

[0062] (4)

[0063] (5)

[0064] (6)

[0065] (7)

[0066] Wherein formula (4) is the convolution layer, Indicates the The output of the convolutional layer, represents the convolution kernel, The bias formula (5) is the ReLU nonlinear activation function, and the formula (6) is the pooling layer. represents the maximum pooling operation, represents the width of the pooling area, represents the i-th pooling output of the l-th layer, and formula (7) is the fully connected layer. Given a dataset of , where the input , output , the fitting coefficient is , the damage function is the cross entropy function, that is, formula (8).

[0067] (8)

[0068] Optionally, the method may further include: determining a pump pressure difference between the simulated pump pressure and the sensed pump pressure; and determining that the sensing component is abnormal and outputting abnormality information when the pump pressure difference is greater than a predetermined threshold. , then the pump pressure sensor is reported as unreliable fault, and the pressure output goes to the substitute value This setting can ensure that the value determined by the pump pressure sensor is reliable, thereby effectively improving the injection accuracy of the urea pump.

[0069] Optionally, determining the target pump pressure of the urea pump based on the simulated pump pressure and the sensed pump pressure may include: using the simulated pump pressure to verify the sensed pump pressure to obtain a verification result; when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is less than a predetermined difference, determining the sensed pump pressure to be the target pump pressure; when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is not less than the predetermined difference, determining the simulated pump pressure to be the target pump pressure.

[0070] In this embodiment, the effective model pump pressure (Simulated pump pressure) and the pump pressure measured by the sensor (Sensing pump pressure) to make a difference and perform mutual verification. This setting can ensure that the value determined by the pump pressure sensor is reliable, thereby effectively improving the injection accuracy of the urea pump.

[0071] In addition, in the embodiment of the present invention, the simulated pump pressure and the sensed pump pressure may be processed by other optimization algorithms to obtain a more accurate pump pressure, so that the urea pump can work better.

[0072] In another embodiment of the present application, the original pump pressure calculated by the fitting method with one characteristic point or the fitting method with at least two characteristic points is used to obtain the final model pump pressure value through decision making, specifically, the power supply voltage is within a certain range. When as the final simulated pump pressure, otherwise As the final simulated pump pressure. That is, when the supply voltage is within the preset voltage range, Within the predetermined pump pressure range, and and When the pump pressure difference is less than or equal to the preset pump pressure difference, select As the final simulated pump pressure, otherwise, As the final pump pressure. is the pump pressure obtained by fitting the multivariate linear polynomial. It is the pump pressure obtained by fitting the convolutional neural network model. When no current parameters are identified within a certain number of strokes N, the last calculated model pump pressure is maintained. When no current parameters are detected for N consecutive strokes, an unreliable model pump pressure fault is reported.

[0073] As shown in Figure 4 (Figure 4 is a flow chart of an optional method for determining pump pressure of a urea pump according to an embodiment of the present invention), after building pressure for the urea pump and confirming that the urea pump is powered normally, the start of the pump stroke cycle and related current parameters of the urea pump are detected. Based on the detected parameters, it is determined whether the urea pump meets the corresponding operating conditions. If the current parameters are not detected after N consecutive strokes, a fault is reported as unreliable model pressure value. Otherwise, a simulated pump pressure is output. If the detected parameters determine that the urea pump meets the corresponding operating conditions, a convolutional neural network model is used to fit the pump pressure. Otherwise, a multivariate linear polynomial fitting is used. After obtaining the fitted pump pressure, the sensed pump pressure is obtained and the fitted pump pressure (i.e., the simulated pump pressure) is cross-checked with the sensed pump pressure. If the cross-check meets the conditions, the final pump pressure is output. Otherwise, a sensor fault is reported, thereby improving the reliability of the pump pressure.

[0074] From the above analysis, it can be seen that the improved method for determining the pump pressure of a urea pump according to the embodiment of the present invention has the following beneficial effects:

[0075] 1. Based on the driving mode of the urea electromagnetic diaphragm pump, the current and time parameters that can characterize the pump stroke are selected, and the pressure inside the pump is derived from these parameters.

[0076] 2. By judging the power supply and pressure changes under different working conditions, two different methods, multivariate linear polynomial and convolutional neural network, are selected to calculate the pump pressure.

[0077] 3. Compare the pump pressure value collected by the sensor with the calculated model pressure value to verify the sensor pressure.

[0078] Example 2

[0079] According to another aspect of an embodiment of the present invention, a device for determining the pump pressure of a urea pump is further provided. FIG5 is a schematic diagram of the device for determining the pump pressure of a urea pump according to an embodiment of the present invention. As shown in FIG5 , the device for determining the pump pressure of a urea pump may include: a first acquisition unit 51, a first determination unit 53, an acquisition unit 55, and a second determination unit 57. The device for determining the pump pressure of a urea pump is described below.

[0080] The first acquisition unit 51 is configured to acquire second characteristic information of the urea pump after detecting first characteristic information of the urea pump, wherein the first characteristic information includes pump stroke cycle information and current information of the urea pump, and the second characteristic information includes current information of the urea pump at characteristic points within the pump stroke cycle, time information corresponding to the characteristic points, and a power supply voltage of the urea pump.

[0081] The first determining unit 53 is configured to determine a pump pressure simulation mode of the urea pump based on the second characteristic information, wherein the pump pressure simulation mode is a preset mode for performing pump pressure simulation on the urea pump.

[0082] The acquiring unit 55 is configured to acquire the simulated pump pressure of the urea pump based on a pump pressure simulation method.

[0083] The second determining unit 57 is configured to determine a target pump pressure of the urea pump when the urea pump is operating according to the simulated pump pressure and the sensed pump pressure, wherein the sensed pump pressure is the pump pressure of the urea pump detected by a sensing component.

[0084] It should be noted that the first collection unit 51, the first determination unit 53, the acquisition unit 55, and the second determination unit 57 correspond to steps S202 to S208 in Example 1. The examples and application scenarios implemented by the above modules and the corresponding steps are the same, but are not limited to the contents disclosed in Example 1. It should be noted that the above modules, as part of the apparatus, can be executed in a computer system, such as a set of computer-executable instructions.

[0085] As can be seen from the above, in the embodiment of the present invention, after detecting the first characteristic information of the urea pump, the first acquisition unit can be used to acquire the second characteristic information of the urea pump, wherein the first characteristic information includes: pump stroke cycle information of the urea pump and current information of the urea pump, and the second characteristic information includes: current information of the urea pump at characteristic points within the pump stroke cycle and time information corresponding to the characteristic points, and the power supply voltage of the urea pump; then, the first determination unit is used to determine the pump pressure simulation mode of the urea pump based on the second characteristic information, wherein the pump pressure simulation mode is a pre-set mode for performing pump pressure simulation on the urea pump; then, the acquisition unit is used to acquire the simulated pump pressure of the urea pump based on the pump pressure simulation mode; finally, the second determination unit is used to determine the target pump pressure of the urea pump when it is working according to the simulated pump pressure and the sensed pump pressure, wherein the sensed pump pressure is the pump pressure of the urea pump detected by the sensing component.

[0086] Optionally, the pump pressure determination device of the urea pump further includes: a pressure applying unit, configured to apply pressure to the urea pump in response to a pressure building instruction before detecting characteristic information of the urea pump.

[0087] Optionally, the pump pressure determination device of the urea pump further includes: a second acquisition unit, configured to acquire power supply information of the urea pump before detecting characteristic information of the urea pump; and a third determination unit, configured to determine whether the power supply of the urea pump is normal based on the power supply information.

[0088] Optionally, the pump pressure determination device of the urea pump further includes: a judgment unit, for judging whether the current parameter of the urea pump is detected in multiple pump stroke cycles when the first characteristic information of the urea pump is not detected, and obtaining a judgment result; a fourth determination unit, for determining that the simulated pump pressure of the urea pump is abnormal and outputting abnormality information when the judgment result indicates that the current parameter of the urea pump is not detected in multiple pump stroke cycles.

[0089] Optionally, the first determination unit includes: a first determination module, used to determine that the pump pressure simulation method is a multivariate linear fitting method when there is one characteristic point; a second determination module, used to determine that the pump pressure simulation method is a multivariate linear fitting method and a fitting method based on a convolutional neural network model when there are at least two characteristic points.

[0090] Optionally, the second determination unit includes: a first fitting module, which is used to perform multivariate linear fitting on the second characteristic information using a multivariate linear fitting method to obtain a simulated pump pressure when there is only one characteristic point; a second fitting module, which is used to fit the second characteristic information using a multivariate linear fitting method and a fitting method based on a convolutional neural network model when there are at least two characteristic points, respectively, to obtain a fitting result, and obtain the simulated pump pressure based on the fitting result.

[0091] Optionally, the device further includes: a fifth determination unit for determining a pump pressure difference between the simulated pump pressure and the sensed pump pressure; and a sixth determination unit for determining that the sensing component is abnormal and outputting abnormality information when the pump pressure difference is greater than a predetermined threshold.

[0092] Optionally, the second determination unit includes: a verification module for verifying the sensed pump pressure using the simulated pump pressure to obtain a verification result; a third determination module for determining that the sensed pump pressure is the target pump pressure when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is less than a predetermined difference; and a fourth determination module for determining that the simulated pump pressure is the target pump pressure when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is not less than a predetermined difference.

[0093] Example 3

[0094] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed by a processor, the device where the computer-readable storage medium is located is controlled to execute any of the above-mentioned methods for determining the pump pressure of a urea pump.

[0095] Example 4

[0096] According to another aspect of an embodiment of the present invention, a processor is further provided. The processor is configured to run a computer program. When the computer program is run, the method for determining the pump pressure of a urea pump described above is executed.

[0097] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0098] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0099] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as 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 through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0100] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0101] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0102] If the integrated unit is implemented as 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 invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), a mobile hard drive, a magnetic disk, or an optical disk.

[0103] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for determining the pump pressure of a urea pump, characterized in that: include: After detecting first characteristic information of the urea pump, collecting second characteristic information of the urea pump, wherein the first characteristic information includes: pump stroke cycle information of the urea pump and current information of the urea pump, and the second characteristic information includes: current information of the urea pump at characteristic points within the pump stroke cycle, time information corresponding to the characteristic points, and a supply voltage of the urea pump; determining a pump pressure simulation mode of the urea pump based on the second characteristic information, wherein the pump pressure simulation mode is a preset mode for performing pump pressure simulation on the urea pump; obtaining a simulated pump pressure of the urea pump based on the pump pressure simulation method; determining a target pump pressure of the urea pump when it is in operation according to the simulated pump pressure and the sensed pump pressure, wherein the sensed pump pressure is the pump pressure of the urea pump detected by a sensing component; Determining a pump pressure simulation mode of the urea pump based on the second characteristic information includes: when there is one characteristic point, determining the pump pressure simulation mode to be a multivariate linear fitting mode; when there are at least two characteristic points, determining the pump pressure simulation mode to be a multivariate linear fitting mode and a fitting mode based on a convolutional neural network model; Wherein, determining the target pump pressure of the urea pump when it is working according to the simulated pump pressure and the sensed pump pressure includes: using the simulated pump pressure to verify the sensed pump pressure to obtain a verification result; when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is less than a predetermined difference, determining the sensed pump pressure as the target pump pressure; when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is not less than the predetermined difference, determining the simulated pump pressure as the target pump pressure.

2. The method for determining the pump pressure of a urea pump according to claim 1, wherein: Before detecting the characteristic information of the urea pump, the method for determining the pump pressure of the urea pump further includes: In response to the pressure building instruction, pressure is applied to the urea pump.

3. The method for determining the pump pressure of a urea pump according to claim 1, wherein: The method for determining the pump pressure of the urea pump further includes: When the first characteristic information of the urea pump is not detected, determining whether a current parameter of the urea pump is detected in a plurality of pump stroke cycles, and obtaining a determination result; When the determination result indicates that the current parameter of the urea pump is not detected during the plurality of pump stroke cycles, it is determined that the simulated pump pressure of the urea pump is abnormal, and abnormality information is output.

4. The method for determining the pump pressure of a urea pump according to claim 1, wherein: Acquiring a simulated pump pressure of the urea pump based on the pump pressure simulation method includes: When there is only one characteristic point, performing multivariate linear fitting on the second characteristic information using the multivariate linear fitting method to obtain the simulated pump pressure; When there are at least two characteristic points, the second characteristic information is fitted using the multivariate linear fitting method and the convolutional neural network model-based fitting method to obtain fitting results, and the simulated pump pressure is obtained based on the fitting results.

5. The method for determining the pump pressure of a urea pump according to any one of claims 1 to 4, characterized in that: Also includes: determining a pump pressure difference between the simulated pump pressure and the sensed pump pressure; When the pump pressure difference value is greater than a predetermined threshold, it is determined that the sensing component is abnormal, and abnormality information is output.

6. A pump pressure determination device for a urea pump, the pump pressure determination device being used to implement the pump pressure determination method according to any one of claims 1 to 5, characterized in that: include: a first collecting unit, configured to collect second characteristic information of the urea pump after detecting first characteristic information of the urea pump, wherein the first characteristic information includes: pump stroke cycle information of the urea pump and current information of the urea pump; and the second characteristic information includes: current information of the urea pump at characteristic points within the pump stroke cycle, time information corresponding to the characteristic points, and a supply voltage of the urea pump; a first determining unit, configured to determine a pump pressure simulation mode of the urea pump based on the second characteristic information, wherein the pump pressure simulation mode is a preset mode for performing pump pressure simulation on the urea pump; an acquiring unit, configured to acquire a simulated pump pressure of the urea pump based on the pump pressure simulation mode; a second determining unit, configured to determine a target pump pressure of the urea pump when the urea pump is operating according to the simulated pump pressure and a sensed pump pressure, wherein the sensed pump pressure is a pump pressure of the urea pump detected by a sensing component; The pump pressure determination device of the urea pump further includes: a judgment unit for judging whether a current parameter of the urea pump is detected in a plurality of pump stroke cycles when the first characteristic information of the urea pump is not detected, and obtaining a judgment result; a fourth determination unit for determining that the simulated pump pressure of the urea pump is abnormal and outputting abnormality information when the judgment result indicates that the current parameter of the urea pump is not detected in the plurality of pump stroke cycles; Among them, the second determination unit includes: a verification module, which is used to verify the sensed pump pressure using the simulated pump pressure to obtain a verification result; a third determination module, which is used to determine that the sensed pump pressure is the target pump pressure when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is less than a predetermined difference; and a fourth determination module, which is used to determine that the simulated pump pressure is the target pump pressure when the verification result indicates that the pressure difference between the simulated pump pressure and the sensed pump pressure is not less than a predetermined difference.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed by a processor, the processor controls the device where the computer-readable storage medium is located to execute the method for determining the pump pressure of a urea pump according to any one of claims 1 to 5.

8. A processor, characterized in that: The processor is configured to run a computer program, wherein the computer program executes the method for determining the pump pressure of a urea pump according to any one of claims 1 to 5 when the computer program is run.

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