Diagnostic method and device for downstream pressure tapping pipeline of particulate filter and vehicle

Abstract

The invention relates to the technical field of vehicles, in particular to a diagnosis method and device for a downstream pressure tapping pipeline of a particulate filter and a vehicle. The method comprises the steps that the volume flow range of engine exhaust airflow flowing through a silencer is defined; the volume flow range is divided into a plurality of intervals, and the volume flow of exhaust airflow flowing through the silencer at each moment of the engine is obtained; a target pressure difference sequence of the silencer is calculated according to the volume flow at each moment and the corresponding relation of the multiple intervals; and generating a diagnosis result of the downstream pressure tapping pipeline of the particulate filter according to the target pressure difference sequence. Therefore, the problems of long time consumption, low accuracy and the like due to the fact that a large number of calibration tests are needed to establish a silencer differential pressure model for falling diagnosis in the prior art are solved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method and device for diagnosing a pressure-taking pipeline downstream of a particulate filter, and a vehicle. Background Art

[0002] To reduce particulate matter emissions from gasoline engines, a Gasoline Particulate Filter (GPF) has become a standard feature in gasoline aftertreatment systems. A dual-membrane sensor is typically installed on the GPF to measure any two of the upstream pressure, downstream pressure, and differential pressure signals. A third signal is calculated to provide a preliminary assessment of the GPF's status. However, in certain situations, such as when the GPF is removed and the downstream pressure sampling line is disconnected, the measured pressure difference is actually the upstream and downstream pressure differential of the muffler, not the actual GPF pressure differential, which can easily lead to a misjudgment that the GPF is functioning properly. To prevent this, it is essential to identify a detached GPF downstream pressure sampling line.

[0003] The relevant technology generally establishes a muffler pressure differential model through the relationship between the upstream and downstream pressure differential of the muffler (the difference between the pressure downstream of the GPF and the atmospheric pressure) and the volume flow rate. When the engine is running at a certain operating point, the muffler measured pressure differential is compared with the model pressure differential (steady-state operating conditions are required) or the calculated characteristic factor (dynamic operating conditions are required) to determine whether a GPF downstream pressure line detachment failure has occurred.

[0004] However, in the actual implementation process, a large number of calibration tests are required to build the muffler pressure difference model. During the modeling process, since the engine control unit cannot directly measure the volume flow through the muffler, the mass flow estimated by the inflation model needs to be converted into the volume flow. There are large errors in this process, resulting in poor diagnostic accuracy. Summary of the Invention

[0005] The present application provides a method, device, vehicle and medium for diagnosing the pressure-taking pipeline downstream of a particulate filter, in order to solve the problems that the related technology requires a large number of calibration tests to establish a muffler pressure difference model for shedding diagnosis, which is time-consuming and has low accuracy.

[0006] The first aspect of the present application provides a method for diagnosing a pressure-taking pipeline downstream of a particulate collector, comprising the following steps: defining a volume flow range of the engine exhaust airflow passing through the muffler; dividing the volume flow range into multiple intervals, and obtaining the volume flow of the engine exhaust airflow passing through the muffler at each moment; calculating a target pressure difference series of the muffler based on the correspondence between the volume flow at each moment and the multiple intervals; and generating a diagnostic result of the pressure-taking pipeline downstream of the particulate collector based on the target pressure difference series.

[0007] Optionally, a diagnostic result of a detachment of the pressure-taking pipeline downstream of the particulate filter is generated based on the target pressure differential series, including: identifying the center point of each interval, and constructing a flow series based on the center point; calculating the Spearman correlation coefficient of the flow series and the target pressure differential series; if the Spearman correlation coefficient is less than or equal to a preset calibration threshold, then the diagnostic result of the pressure-taking pipeline downstream of the particulate filter is determined to be a detachment fault, otherwise the diagnostic result is determined to be no fault.

[0008] Optionally, the target pressure difference series of the silencer is calculated based on the correspondence between the volume flow rate at each moment and multiple intervals, including: matching the corresponding interval according to the volume flow rate at each moment; if the volume flow rate at the current moment falls into the target interval for the first time, the pressure difference measured by the silencer at the current moment is used as the target pressure difference; if the volume flow rate at the current moment falls into the target interval for the Nth time, the target pressure difference at the current moment is calculated based on the moving variable weighted filtering; and the target pressure difference measured by the silencer at each moment is combined to obtain the target pressure difference series.

[0009] Optionally, the calculation formula of the moving variable weighted filtering is: Yi=(1-C5*w(r))*Yi+C5*w(r)*Dp Among them, Yi represents the processed target pressure difference corresponding to the i-th small interval at the current moment, C5 is the basic movement weighting coefficient, Dp is the real-time measured pressure difference, w(r) is the weight function within the interval, and r is the distance between the volume flow rate at the current moment and the center point of the i-th interval.

[0010] Optionally, before generating the diagnostic result of the pressure-taking pipeline downstream of the particulate filter based on the target pressure difference series, it also includes: starting the counter of each interval, and when the volume flow falls into the target interval, the counter in the target interval is increased by one; when the counter of each interval reaches a preset threshold, it is determined that the target pressure difference series meets the diagnostic condition, and the diagnostic result of the pressure-taking pipeline downstream of the particulate filter is generated based on the target pressure difference series.

[0011] The second aspect of the present application provides a device for diagnosing the detachment of the pressure-taking pipeline downstream of the particulate collector, including: a definition module for defining the volume flow range of the engine exhaust airflow flowing through the muffler; a splitting module for splitting the volume flow range into multiple intervals, and obtaining the volume flow of the exhaust airflow of the engine flowing through the muffler at each moment; a calculation module for calculating the target pressure difference series of the muffler based on the correspondence between the volume flow at each moment and the multiple intervals; and a generation module for generating a diagnostic result of the pressure-taking pipeline downstream of the particulate collector based on the target pressure difference series.

[0012] Optionally, the generation module is further used to: identify the center point of each interval and construct a flow series based on the center point; calculate the Spearman correlation coefficient of the flow series and the target pressure difference series; if the Spearman correlation coefficient is less than or equal to a preset calibration threshold, then the diagnosis result of the pressure taking pipeline downstream of the particulate collector is determined to be a detachment fault, otherwise the diagnosis result is determined to be no fault.

[0013] Optionally, the calculation module is further used to calculate the target pressure difference series of the silencer based on the correspondence between the volume flow rate at each moment and multiple intervals, including: matching the corresponding interval according to the volume flow rate at each moment; if the volume flow rate at the current moment falls into the target interval for the first time, the pressure difference measured by the silencer at the current moment is used as the target pressure difference; if the volume flow rate at the current moment falls into the target interval for the Nth time, the target pressure difference at the current moment is calculated based on the moving variable weighted filtering; and the target pressure difference measured by the silencer at each moment is combined to obtain the target pressure difference series.

[0014] Optionally, the calculation formula of the moving variable weighted filtering is: Yi=(1-C5*w(r))*Yi+C5*w(r)*Dp Among them, Yi represents the processed target pressure difference corresponding to the i-th small interval at the current moment, C5 is the basic movement weighting coefficient, Dp is the real-time measured pressure difference, w(r) is the weight function within the interval, and r is the distance between the volume flow rate at the current moment and the center point of the i-th interval.

[0015] Optionally, the diagnostic device for the pressure taking pipeline downstream of the particulate collector also includes: a judgment module, which is used to start the counter of each interval before generating the diagnostic result of the pressure taking pipeline downstream of the particulate collector based on the target pressure difference series, and when the volume flow falls into the target interval, the counter in the target interval is increased by one; when the counter of each interval reaches a preset threshold, it is determined that the target pressure difference series meets the diagnostic condition, and the diagnostic result of the pressure taking pipeline downstream of the particulate collector is generated based on the target pressure difference series.

[0016] A third aspect of the present application provides a vehicle, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement a diagnostic method for a pressure-taking line downstream of a particulate filter as described in the above embodiment.

[0017] A fourth embodiment of the present application provides a computer-readable storage medium having a computer program or instruction stored thereon. When the computer program or instruction is executed, it is used to implement a diagnostic method for a pressure-taking pipeline downstream of a particulate collector as in the above-mentioned embodiment.

[0018] The fifth embodiment of the present application provides a computer program product, including: a computer program or instructions, which, when executed, implements the diagnostic method of the pressure-taking pipeline downstream of the particulate filter as described in the above embodiment.

[0019] Therefore, this application has at least the following beneficial effects: This embodiment of the present application uses the volumetric flow rate of exhaust gas flowing through the muffler at each moment of the engine and the target pressure differential series of the muffler to determine if the pressure line downstream of the particulate filter is disconnected. This strategy not only improves diagnostic accuracy, but also simplifies monitoring conditions, eliminating the need for complex pressure differential model calibration, reducing the time and equipment resources required for calibration testing, and is applicable to both traditional fuel vehicles and hybrid vehicles. This solves the problem of related technologies requiring extensive calibration tests to establish a muffler pressure differential model for disconnection diagnosis, which is time-consuming and has low accuracy.

[0020] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which: Figure 1 A schematic diagram of a particle trap removal diagnostic system according to an embodiment of the present application; Figure 2 This is a state diagram of removing the particle trap and unplugging the downstream pressure-taking pipeline according to an embodiment of the present application; Figure 3 This is a flow chart of a method for diagnosing a pressure-taking pipeline downstream of a particulate trap according to an embodiment of the present application; Figure 4 This is an example diagram of a Gaussian function curve provided according to one embodiment of the present application; Figure 5 This is an exemplary diagram of a device for diagnosing a pressure-taking pipeline downstream of a particulate trap according to an embodiment of the present application; Figure 6 Schematic diagram of the structure of a vehicle according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] The following describes in detail embodiments of the present application. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0023] The following describes the diagnostic method, device, vehicle and storage medium of the pressure-taking line downstream of the particulate filter in the embodiment of the present application with reference to the accompanying drawings. In response to the problems mentioned in the above background technology, the present application provides a diagnostic method for the pressure-taking line downstream of the particulate filter. In this method, the strategy of determining the failure of the pressure-taking line downstream of the particulate filter to fall off is based on the volume flow rate of the exhaust gas flow through the muffler at each moment of the engine and the target pressure difference series of the muffler. This not only improves the accuracy of the diagnosis, but also simplifies the monitoring conditions and does not require complex pressure difference model calibration, thus reducing the time and equipment resources required for the calibration test. It is suitable for traditional fuel vehicles and hybrid vehicles. Thus, it solves the problem that the related technology requires a large number of calibration tests to establish a muffler pressure difference model for shedding diagnosis, which is time-consuming and has low accuracy.

[0024] Specifically, Figure 3 A schematic flow chart of a method for diagnosing a pressure-taking pipeline downstream of a particulate filter provided in an embodiment of the present application.

[0025] Before introducing this application, the schematic diagram of the GPF removal diagnostic system involved in this application is described in detail, such as Figure 3 As shown, the GPF differential pressure sensor is a double-membrane sensor that can directly measure two signals among upstream pressure, downstream pressure and pressure difference, and can obtain the third signal through calculation. When the GPF is removed or damaged, the GPF differential pressure is near 0. When the GPF is normal, the GPF differential pressure will be greater than a certain value. By comparing the GPF differential pressure at a certain flow rate with the fault threshold (or comparing the characteristic factor calculated based on the pressure difference with the threshold), it is determined whether the GPF has been removed. When the GPF carrier is removed and the downstream pressure-taking line is unplugged, the GPF differential pressure sensor actually measures the upstream and downstream pressure difference of the muffler, such as Figure 2 At this time, the measured pressure difference will still be higher than a certain threshold. If the diagnosis is based on the pressure difference between the upstream and downstream of the GPF, it will be mistakenly judged that the GPF is normal.

[0026] like Figure 1 As shown, the diagnostic method for the pressure sampling line downstream of the particulate filter includes the following steps: In step S101 , a volume flow range of the engine exhaust gas flow passing through the muffler is defined.

[0027] The volume flow rate range can be pre-calibrated, such as setting it to 150m 3 / h、1150m 3 / h, not specifically limited.

[0028] To diagnose a GPF downstream pressure line failure, it's first necessary to determine whether a series of monitoring conditions are met. These include, but are not limited to, ambient temperature, ambient pressure, engine startup and duration, the oxygen sensor exceeding the dew point, the engine not being in specific operating conditions (such as catalyst heating or fuel cutoff), the GPF differential pressure sensor being healthy, and the volume flow through the muffler being within a specific range.

[0029] When all of the following monitoring conditions are met, the parameter Penabled = True is set. This means that the current operating conditions are suitable for the next step of the GPF downstream pressure line detachment diagnosis process. The specific monitoring conditions include the following: a) The ambient temperature is greater than -7°C; b) Ambient pressure is greater than 740hPa; c) The inflatable model is effective; d) The engine starts and lasts for a period of time C1, which is a calibratable parameter with a default value of 10s; e) The oxygen sensor exceeds the dew point and lasts for a period of time C2. C2 is a calibrable parameter with a default value of 3s; f) The engine is not in the catalytic converter heating state; g) The engine is not in a fuel cut-off condition; h) The GPF is not in regeneration mode; i) The GPF differential pressure sensor is not faulty; j) The volume flow rate through the muffler is within the range [C3, C4). C3 and C4 are calibratable parameters with default values of 150m3 and 150m4, respectively. 3 / h、1150m 3 / h.

[0030] If all monitoring conditions a) to j) are met, the parameter Penabled = True.

[0031] In step S102 , the volume flow rate range is divided into multiple intervals, and the volume flow rate of the exhaust gas flow of the engine passing through the muffler at each moment is obtained.

[0032] Among them, the forms of many intervals are closed on the left and open on the right.

[0033] In the embodiment of the present application, the volume flow range [C3, C4) in the monitoring condition j) can be divided into equal parts, and the center points of each small interval form a sequence X, where X is a calibratable parameter with a default value of 200, 300...12000m 3 / h, it can be divided into 10 intervals with left closed and right open, namely [150,250), [250,350)…[1050,1150).

[0034] When all monitoring conditions are met, that is, Penabled = True, during engine operation, the embodiment of the present application monitors and records in real time the volume flow rate V' of the exhaust gas flow through the muffler at each moment of the engine.

[0035] In step S103 , a target pressure difference series of the muffler is calculated based on the correspondence between the volume flow rate at each moment and the plurality of intervals.

[0036] In one embodiment of the present application, the target pressure difference series of the silencer is calculated based on the correspondence between the volume flow rate at each moment and multiple intervals, including: matching the corresponding interval according to the volume flow rate at each moment; if the volume flow rate at the current moment falls into the target interval for the first time, the pressure difference measured by the silencer at the current moment is used as the target pressure difference; if the volume flow rate at the current moment falls into the target interval for the Nth time, the target pressure difference at the current moment is calculated based on the moving variable weighted filtering; and the target pressure difference measured by the silencer at each moment is combined to obtain the target pressure difference series.

[0037] Specifically, the embodiment of the present application can use a moving variable weighted filter to calculate the muffler pressure differential series Y. When Penabled = True, the exhaust flow rate V' and the muffler pressure differential are Dp. If V' falls within the i-th small interval for the first time, then Yi = Dp. If V' falls within the i-th small interval again, then: Yi=(1-C5*w(r))*Yi+C5*w(r)*Dp C5 is the basic shift weighting coefficient, a calibrable parameter with a default value of 0.5 and a range of 0 to 1. w(r) represents the interval weighting function, where r represents the distance between the current exhaust flow rate and the center point of the small interval, |V'-Xi|. w(r) is a calibrable parameter with a default value of a Gaussian function, as shown in Figure 4.

[0038] It should be noted that the embodiment of the present application uses a moving variable weighted filtering method to concentrate the data in the interval to the center point of the interval, wherein a variety of functions can be selected as the weight function w(r), commonly used are the Gaussian function of the above embodiment, as well as exponential functions, cubic splines, quartic splines, etc., the characteristic of which is that w(r) decreases as the distance r increases.

[0039] In one embodiment of the present application, before generating the diagnostic result of the pressure-taking pipeline downstream of the particulate filter based on the target pressure differential series, it also includes: starting the counter of each interval, and when the volume flow falls into the target interval, the counter in the target interval is increased by one; when the counter of each interval reaches a preset threshold, it is determined that the target pressure differential series meets the diagnostic condition, and the diagnostic result of the pressure-taking pipeline downstream of the particulate filter is generated based on the target pressure differential series.

[0040] The preset threshold value can be set according to actual conditions, such as 20, without any specific limitation.

[0041] It is understandable that in order to ensure that each volume flow interval has enough valid data points to improve the accuracy and reliability of the diagnostic results. Before performing the fault diagnosis of the GPF downstream pressure taking pipeline falling off, it is necessary to count and analyze the data of different volume flow intervals. In the actual implementation process, when V' falls into a small interval, the counter in this small interval accumulates 1. The counter is recorded as N, and N is a sequence with the same length as X. When each element of the counter N is greater than the preset threshold C6, it is judged that enough data has been collected, and then the final diagnostic results are generated using these data to judge the status of the GPF downstream pressure taking pipeline, that is, Prelease = True. C6 is a calibrable parameter with a default value of 20.

[0042] In step S104 , a diagnosis result of the pressure sampling pipeline downstream of the particulate trap is generated according to the target pressure difference series.

[0043] In one embodiment of the present application, a diagnostic result of a detachment of the pressure-taking pipeline downstream of the particulate filter is generated based on a target pressure differential series, including: identifying the center point of each interval, and constructing a flow series based on the center point; calculating the Spearman correlation coefficient of the flow series and the target pressure differential series; if the Spearman correlation coefficient is less than or equal to a preset calibration threshold, then the diagnostic result of the pressure-taking pipeline downstream of the particulate filter is determined to be a detachment fault, otherwise the diagnostic result is determined to be no fault.

[0044] In the above embodiment, the embodiment of the present application calibrates the center point of each interval, such as the default value of 200, 300...1200m 3 / h, it can be divided into 10 small intervals [150, 250), [250, 350) ... [1050, 1150), which are closed on the left and open on the right. In the embodiment of the present application, the center point of each small interval can be combined into a flow sequence X.

[0045] In the embodiment of the present application, the Spearman correlation coefficient ρ of X and Y is calculated to determine whether a fault occurs in the pressure-taking pipeline downstream of the particulate filter. The formula is as follows:

[0046] Where, is the difference in rank between each pair of samples of the two variables, and n is the sample size.

[0047] If ρ ≤ ρ thd, a GPF downstream pressure line disconnection fault has occurred. If ρ > ρ thd, no GPF downstream pressure line disconnection fault has occurred. The IUPR numerator increases by 1. ρ thd is a preset calibration threshold that can be set based on actual conditions. The default value is 0.5.

[0048] Furthermore, after the diagnosis is completed, the counter sequence N and the target pressure difference sequence Y are cleared to 0, and the monitoring condition determination is restarted.

[0049] It should be noted that the embodiment of the present application uses the Spearman correlation coefficient of the volume flow rate and the muffler pressure difference to determine the GPF removal fault. In addition to the Spearman correlation coefficient, there are also various algorithms such as the Kendall rank correlation coefficient and the Pearson correlation coefficient to describe the degree of correlation between the two variables. The characteristic is that continuous data between -1 and 1 can be used to characterize the correlation between the two variables. Those skilled in the art can make a choice based on actual conditions without specific limitation.

[0050] The diagnostic method for the pressure-sampling line downstream of the particulate filter, proposed in the embodiments of this application, uses the volumetric flow rate of the engine's exhaust gas flow through the muffler and the target pressure differential series of the muffler at each moment to determine if the particulate filter has fallen off. This strategy not only improves diagnostic accuracy but also simplifies monitoring conditions, eliminating the need for complex pressure differential model calibration, reducing the time and equipment resources required for calibration testing and making it applicable to both traditional fuel-powered and hybrid vehicles. This solves the problem of related technologies requiring extensive calibration testing to establish a muffler pressure differential model for fall-off diagnosis, resulting in lengthy and inaccurate calibration.

[0051] Next, a device for diagnosing the detachment of a pressure-taking pipeline downstream of a particulate filter proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0052] Figure 5 It is a block diagram of a device for diagnosing the detachment of a pressure-taking pipeline downstream of a particulate filter according to an embodiment of the present application.

[0053] like Figure 5 As shown, the device 10 for diagnosing the detachment of the pressure-taking pipeline downstream of the particulate filter includes: a definition module 101 , a separation module 102 , a calculation module 103 and a generation module 104 .

[0054] Among them, the definition module 101 is used to define the volume flow range of the engine exhaust airflow flowing through the muffler; the splitting module 102 is used to split the volume flow range into multiple intervals and obtain the volume flow of the exhaust airflow flowing through the muffler at each moment of the engine; the calculation module 103 is used to calculate the target pressure difference series of the muffler based on the correspondence between the volume flow at each moment and multiple intervals; the generation module 104 is used to generate the diagnostic results of the pressure sampling pipeline downstream of the particulate filter based on the target pressure difference series.

[0055] In one embodiment of the present application, the generation module 104 is further used to identify the center point of each interval and construct a flow series based on the center point; calculate the Spearman correlation coefficient of the flow series and the target pressure difference series; if the Spearman correlation coefficient is less than or equal to a preset calibration threshold, the diagnosis result of the pressure sampling pipeline downstream of the particulate collector is determined to be a detachment fault, otherwise the diagnosis result is determined to be no fault.

[0056] In one embodiment of the present application, the calculation module 103 is further used to calculate the target pressure difference series of the silencer based on the correspondence between the volume flow rate at each moment and multiple intervals, including: matching the corresponding interval according to the volume flow rate at each moment; if the volume flow rate at the current moment falls into the target interval for the first time, the pressure difference measured by the silencer at the current moment is used as the target pressure difference; if the volume flow rate at the current moment falls into the target interval for the Nth time, the target pressure difference at the current moment is calculated based on the moving variable weighted filtering; and the target pressure difference measured by the silencer at each moment is combined to obtain the target pressure difference series.

[0057] In one embodiment of the present application, the calculation formula of the moving variable weighted filtering is: Yi=(1-C5*w(r))*Yi+C5*w(r)*Dp Among them, Yi represents the processed target pressure difference corresponding to the i-th small interval at the current moment, C5 is the basic movement weighting coefficient, Dp is the real-time measured pressure difference, w(r) is the weight function within the interval, and r is the distance between the volume flow rate at the current moment and the center point of the i-th interval.

[0058] In one embodiment of the present application, the diagnostic device 10 for the pressure taking pipeline downstream of the particulate collector further includes: a judgment module, which is used to start the counter of each interval before generating the diagnostic result of the pressure taking pipeline downstream of the particulate collector based on the target pressure difference series, and when the volume flow falls into the target interval, the counter in the target interval is increased by one; when the counter of each interval reaches a preset threshold, it is determined that the target pressure difference series meets the diagnostic condition, and the diagnostic result of the pressure taking pipeline downstream of the particulate collector is generated based on the target pressure difference series.

[0059] It should be noted that the above explanation of the embodiment of the diagnosis method for the pressure-taking pipeline downstream of the particulate trap is also applicable to the diagnosis device for the pressure-taking pipeline downstream of the particulate trap of this embodiment, and will not be repeated here.

[0060] The diagnostic device for the pressure-sampling line downstream of the particulate filter, proposed in an embodiment of the present application, uses the volumetric flow rate of the engine's exhaust gas flow through the muffler and the target pressure differential series of the muffler at each moment to determine if the particulate filter's pressure-sampling line has fallen off. This strategy not only improves diagnostic accuracy but also simplifies monitoring conditions, eliminating the need for complex pressure differential model calibration, reducing the time and equipment resources required for calibration testing and making it suitable for both traditional fuel-powered and hybrid vehicles. This solves the problem of related technologies requiring extensive calibration testing to establish a muffler pressure differential model for fall-off diagnosis, which is time-consuming and inaccurate.

[0061] Figure 6 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application. The vehicle may include: A memory 601 , a processor 602 , and a computer program stored in the memory 601 and executable on the processor 602 .

[0062] When the processor 602 executes the program, the diagnosis method of the pressure sampling pipeline downstream of the particulate trap provided in the above embodiment is implemented.

[0063] Furthermore, the vehicle further comprises: The communication interface 603 is used for communication between the memory 601 and the processor 602 .

[0064] The memory 601 is used to store computer programs that can be run on the processor 602 .

[0065] The memory 601 may include a high-speed RAM (Random Access Memory) memory, and may also include a non-volatile memory, such as at least one disk memory.

[0066] If the memory 601, processor 602, and communication interface 603 are implemented independently, the communication interface 603, memory 601, and processor 602 can be connected to each other via a bus and communicate with each other. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus. Buses can be divided into address buses, data buses, control buses, etc. For ease of representation, Figure 6 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0067] Optionally, in a specific implementation, if the memory 601, the processor 602 and the communication interface 603 are integrated on a chip, the memory 601, the processor 602 and the communication interface 603 can communicate with each other through an internal interface.

[0068] The processor 602 may be a CPU (Central Processing Unit), or an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application.

[0069] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the above-mentioned method for diagnosing the pressure-taking pipeline downstream of the particulate filter is implemented.

[0070] An embodiment of the present application further provides a computer program product, including: a computer program or instructions, which, when executed, implements the diagnostic method for the pressure sampling pipeline downstream of the particulate filter as described in the above embodiment.

[0071] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0072] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0073] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0074] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array, a field programmable gate array, etc.

[0075] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0076] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for diagnosing a pressure-taking pipeline downstream of a particle collector, characterized in that: The following steps are involved: Define the volume flow rate range of the engine exhaust gas flow through the muffler; Splitting the volume flow range into a plurality of intervals, and obtaining the volume flow of the exhaust gas flow of the engine passing through the muffler at each moment; Calculating a target pressure difference series for the muffler according to a correspondence between the volume flow rate at each moment and the plurality of intervals; A diagnosis result of the pressure sampling pipeline downstream of the particulate trap is generated according to the target pressure difference series.

2. The diagnostic method for the pressure sampling pipeline downstream of the particulate filter according to claim 1, characterized in that: Generating the diagnosis result of the detachment of the pressure sampling pipeline downstream of the particulate trap according to the target pressure difference series includes: Identify the center point of each interval and construct a flow series based on the center point; Calculating the Spearman correlation coefficient between the flow rate series and the target pressure difference series; If the Spearman correlation coefficient is less than or equal to a preset calibration threshold, the diagnosis result of the pressure sampling pipeline downstream of the particulate trap is determined to be a detachment fault; otherwise, the diagnosis result is determined to be no fault.

3. The diagnostic method for the pressure sampling line downstream of the particulate filter according to claim 1, characterized in that: Calculating a target pressure difference series of the muffler according to the corresponding relationship between the volume flow rate at each moment and the multiple intervals includes: Matching the corresponding interval according to the volume flow at each moment; If the volume flow rate at the current moment falls within the target interval for the first time, the pressure difference measured by the muffler at the current moment is used as the target pressure difference; if the volume flow rate at the current moment falls within the target interval for the Nth time, the target pressure difference at the current moment is calculated according to the moving variable weighted filtering; The target pressure difference series is obtained by combining the target pressure differences measured by the muffler at each moment.

4. The diagnostic method for the pressure sampling line downstream of the particulate filter according to claim 3, characterized in that: The calculation formula of the mobile variable weighted filtering is: Yi=(1-C5*w(r))*Yi+C5*w(r)*Dp Among them, Yi represents the processed target pressure difference corresponding to the i-th small interval at the current moment, C5 is the basic movement weighting coefficient, Dp is the real-time measured pressure difference, w(r) is the weight function within the interval, and r is the distance between the volume flow rate at the current moment and the center point of the i-th interval.

5. The diagnostic method for the pressure sampling line downstream of the particulate filter according to claim 3, characterized in that: Before generating a diagnosis result of the pressure sampling pipeline downstream of the particulate trap according to the target pressure difference series, the method further includes: Starting a counter in each interval, when the volume flow falls within the target interval, the counter in the target interval is incremented by one; When the counter of each interval reaches a preset threshold, it is determined that the target pressure difference series meets a diagnosis condition, and a diagnosis result of the pressure sampling pipeline downstream of the particulate trap is generated according to the target pressure difference series.

6. A diagnostic device for a pressure-taking pipeline downstream of a particle collector, characterized in that: include: A definition module, used to define a volume flow range of the engine exhaust gas flow passing through the muffler; a splitting module, configured to split the volume flow range into a plurality of intervals and obtain the volume flow of the exhaust gas flow of the engine passing through the muffler at each moment; a calculation module, configured to calculate a target pressure difference series of the muffler according to a correspondence between the volume flow rate at each moment and the plurality of intervals; A generating module is used to generate a diagnosis result of the pressure sampling pipeline downstream of the particulate trap according to the target pressure difference series.

7. The diagnostic device for the pressure-taking pipeline downstream of the particulate filter according to claim 6, characterized in that: The generating module is further configured to: Identify the center point of each interval and construct a flow series based on the center point; Calculating the Spearman correlation coefficient between the flow rate series and the target pressure difference series; If the Spearman correlation coefficient is less than or equal to a preset calibration threshold, the diagnosis result of the pressure sampling pipeline downstream of the particulate trap is determined to be a detachment fault; otherwise, the diagnosis result is determined to be no fault.

8. A vehicle, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for diagnosing a pressure-taking pipeline downstream of a particulate filter according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed, the method for diagnosing the pressure-taking pipeline downstream of the particulate filter according to any one of claims 1 to 5 is implemented.

10. A computer program product comprising: A computer program or instruction, characterized in that when the computer program or instruction is executed, it implements the diagnostic method for the pressure sampling pipeline downstream of the particulate filter according to any one of claims 1 to 5.

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