Fault detection method and device for differential pressure sensor of particle catcher and vehicle

Abstract

The invention relates to a fault detection method and device for a differential pressure sensor of a particle catcher and a vehicle, and the method comprises the steps: judging whether a to-be-detected vehicle meets a preset fault diagnosis condition or not; if the to-be-detected vehicle meets the preset fault diagnosis condition, the atmospheric pressure and the upstream pressure and the downstream pressure of the particle catcher are obtained, a first difference value between the upstream pressure and the downstream pressure is calculated, and whether the first difference value is smaller than a first preset threshold value or not is judged; under the condition that the first difference value is smaller than a first preset threshold value, a second difference value between the upstream pressure and the atmospheric pressure and a third difference value between the downstream pressure and the atmospheric pressure are calculated, and whether the larger value of the second difference value and the third difference value is larger than or equal to a second preset threshold value or not is judged; and if the larger value is greater than or equal to the second preset threshold value, judging that the differential pressure sensor of the particle catcher has a static rationality fault. Therefore, the problem that the pressure sensor cannot perform detection under the static working condition is solved, and the accuracy and reliability of fault detection are improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method and device for detecting faults of a differential pressure sensor of a particulate trap, and a vehicle. Background Art

[0002] A Gasoline Particulate Filter (GPF) can capture pollutant particles produced by combustion, thereby purifying exhaust gases. However, if the GPF is damaged or missing, it loses its ability to capture emitted particulate matter. Related technologies use a GPF differential pressure sensor to collect the GPF's upstream and downstream pressure differential. Under normal circumstances, exhaust gas flowing through the GPF generates a pressure differential between the upstream and downstream sides. However, if the GPF is damaged or missing, there is no corresponding pressure differential. Therefore, the GPF can be diagnosed based on the change in pressure differential. However, if the differential pressure sensor fails, it will affect the pressure collection upstream and downstream of the GPF, thereby affecting the diagnosis of the GPF.

[0003] In related technologies, the fault detection of the GPF differential pressure sensor mainly diagnoses offset faults, sticking faults, pipe detachment faults and dynamic rationality faults, etc. The rationality faults of the differential pressure sensor are judged based on the exhaust flow rate change gradient under dynamic working conditions.

[0004] However, the relevant technology relies on dynamic conditions, requires rapid changes in exhaust flow, and has harsh diagnostic conditions. Moreover, under dynamic working conditions, changes in exhaust flow may be affected by a combination of factors (such as engine speed, load, etc.), resulting in a high risk of misjudgment.

[0005] This patent proposes a new GPF differential pressure sensor rationality fault detection method, which can determine whether the GPF differential pressure sensor signal is reliable by calculating the deviation of the pressure before and after the particulate filter under static working conditions and the deviation of the pressure before and after the particulate filter and the atmospheric pressure. It is different from the existing fault detection method and the type of sensor fault detected, and is simpler and more reliable than the existing fault detection method. Summary of the Invention The present application provides a method, device and vehicle for detecting faults of a differential pressure sensor of a particle trap to solve the problem that the pressure sensor cannot be detected under static working conditions, fills the technical gap of being unable to detect under static conditions, reduces the influence of interference factors, and can more accurately determine whether the differential pressure sensor signal is credible, thereby improving the accuracy and reliability of fault detection.

[0006] A first embodiment of the present application provides a method for detecting a fault in a differential pressure sensor of a particle trap, comprising the following steps: Determine whether the vehicle to be tested meets the preset fault diagnosis conditions; If the vehicle to be detected meets the preset fault diagnosis condition, obtaining atmospheric pressure, upstream pressure and downstream pressure of the particulate trap, calculating a first difference between the upstream pressure and the downstream pressure, and determining whether the first difference is less than a first preset threshold; If the first difference is less than the first preset threshold, calculating a second difference between the upstream pressure and the atmospheric pressure, and a third difference between the downstream pressure and the atmospheric pressure, and determining whether a larger value of the second difference or the third difference is greater than or equal to a second preset threshold; If the larger value is greater than or equal to the second preset threshold, it is determined that a static rationality fault exists in the differential pressure sensor of the particle trap.

[0007] Optionally, in some embodiments, after determining whether the first difference is less than a first preset threshold, the method includes: If the first difference is greater than or equal to the first preset threshold, it is determined that the differential pressure sensor of the particulate trap has the static rationality fault.

[0008] Optionally, in some embodiments, the preset fault diagnosis condition is that the vehicle to be detected does not have a prohibited diagnosis fault and the vehicle to be detected is in a static operating condition of the vehicle to be detected.

[0009] Optionally, in some embodiments, the prohibited diagnosis fault includes at least one of a differential pressure sensor circuit fault of the particulate trap, a system fault of the particulate trap, and a barometric pressure sensor fault.

[0010] Optionally, in some embodiments, after determining that the differential pressure sensor of the particle trap has the static rationality fault, the method includes: A reminder instruction is generated based on the static rationality fault, and a fault reminder is performed based on the reminder instruction.

[0011] A second embodiment of the present application provides a device for detecting a fault in a differential pressure sensor of a particle trap, comprising: A judgment module is used to judge whether the vehicle to be detected meets the preset fault diagnosis conditions; an acquisition module, configured to, when the vehicle to be detected meets the preset fault diagnosis condition, acquire atmospheric pressure, an upstream pressure and a downstream pressure of the particulate trap, calculate a first difference between the upstream pressure and the downstream pressure, and determine whether the first difference is less than a first preset threshold; a calculation module, configured to calculate, when the first difference is less than the first preset threshold, a second difference between the upstream pressure and the atmospheric pressure and a third difference between the downstream pressure and the atmospheric pressure, and determine whether a larger value of the second difference or the third difference is greater than or equal to a second preset threshold; The determination module is configured to determine that a static rationality fault exists in the differential pressure sensor of the particle trap when the larger value is greater than or equal to the second preset threshold.

[0012] Optionally, in some embodiments, after determining whether the first difference is less than a first preset threshold, the obtaining module includes: The determination unit is configured to determine that the static rationality fault exists in the pressure difference sensor of the particle trap when the first difference is greater than or equal to the first preset threshold.

[0013] Optionally, in some embodiments, the preset fault diagnosis condition is that the vehicle to be detected does not have a prohibited diagnosis fault and the vehicle to be detected is in a static operating condition of the vehicle to be detected.

[0014] Optionally, in some embodiments, the prohibited diagnosis fault includes at least one of a differential pressure sensor circuit fault of the particulate trap, a system fault of the particulate trap, and a barometric pressure sensor fault.

[0015] Optionally, in some embodiments, after determining that the differential pressure sensor of the particle trap has the static rationality fault, the determination module includes: The reminder unit is used to generate a reminder instruction based on the static rationality fault and perform a fault reminder based on the reminder instruction.

[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, wherein the processor executes the program to implement the method for detecting a fault of a differential pressure sensor of a particulate trap as described in the above embodiment.

[0017] A fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the method for detecting a fault of a differential pressure sensor of a particle trap as described in the above embodiment.

[0018] Therefore, by judging whether the vehicle to be detected meets the preset fault diagnosis conditions, if the vehicle to be detected meets the preset fault diagnosis conditions, the atmospheric pressure, the upstream pressure and the downstream pressure of the particulate trap are obtained, the first difference between the upstream pressure and the downstream pressure is calculated, and it is judged whether the first difference is less than the first preset threshold; when the first difference is less than the first preset threshold, the second difference between the upstream pressure and the atmospheric pressure, and the third difference between the downstream pressure and the atmospheric pressure are calculated, and it is judged whether the larger value of the second difference and the third difference is greater than or equal to the second preset threshold. If the larger value is greater than or equal to the second preset threshold, it is determined that the pressure differential sensor of the particulate trap has a static rationality fault. Thus, the problem that the pressure sensor cannot be detected under static working conditions is solved, the technical gap that cannot be detected under static conditions is filled, the influence of interference factors is reduced, and it can more accurately judge whether the pressure differential sensor signal is credible, thereby improving the accuracy and reliability of fault detection.

[0019] 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

[0020] 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 This is a flow chart of a method for detecting a fault in a differential pressure sensor of a particle trap according to an embodiment of the present application; Figure 2 This is a flow chart of a method for detecting a fault in a differential pressure sensor of a particulate trap according to one embodiment of the present application; Figure 3 A schematic diagram showing the principle of a method for detecting a fault of a differential pressure sensor of a particle trap according to one embodiment of the present application; Figure 4 A schematic diagram of the hardware architecture for fault detection of a differential pressure sensor of a particle trap according to one embodiment of the present application; Figure 5 A schematic structural diagram of a vehicle provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] The following describes in detail embodiments of the present application, examples of which 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.

[0022] The following describes a method, apparatus, and vehicle for detecting a differential pressure sensor fault in a particulate trap according to embodiments of the present application, with reference to the accompanying drawings. To address the problem of pressure sensors being unable to perform detection under static operating conditions, as discussed in the background art, the present application provides a method for detecting a differential pressure sensor fault in a particulate trap. The method determines whether a vehicle to be detected meets preset fault diagnosis conditions. If so, atmospheric pressure, upstream pressure, and downstream pressure of the particulate trap are obtained, a first difference between the upstream and downstream pressures is calculated, and a determination is made as to whether the first difference is less than a first preset threshold. If the first difference is less than the first preset threshold, a second difference between the upstream and atmospheric pressures and a third difference between the downstream and atmospheric pressures are calculated, and a determination is made as to whether the larger of the second and third differences is greater than or equal to a second preset threshold. If the larger of the two differences is greater than or equal to the second preset threshold, a determination is made as to whether the differential pressure sensor of the particulate trap has a static rationality fault. This method solves the problem of pressure sensors being unable to perform detection under static operating conditions, fills a technical gap in the field of detecting under static conditions, reduces the influence of interference factors, and more accurately determines whether the differential pressure sensor signal is credible, thereby improving the accuracy and reliability of fault detection.

[0023] Specifically, Figure 1 A schematic flow chart of a method for detecting faults in a differential pressure sensor of a particle trap provided in an embodiment of the present application.

[0024] like Figure 1 As shown, the method for detecting a fault of a differential pressure sensor of a particle trap includes the following steps: In step S101 , it is determined whether the vehicle to be detected meets the preset fault diagnosis conditions.

[0025] Among them, the preset fault diagnosis conditions are that the vehicle to be tested does not have any prohibited diagnosis faults and the vehicle to be tested is in a static operating condition of the vehicle to be tested; the prohibited diagnosis faults include: at least one of: a pressure difference sensor circuit fault of the particulate trap, a system fault of the particulate trap and a atmospheric pressure sensor fault.

[0026] Specifically, combined Figure 2As shown, the embodiment of the present application can first determine whether there is a fault that prohibits diagnosis (such as a GPF pressure difference sensor circuit fault, a GPF system fault, an atmospheric pressure sensor fault, etc.). If so, the fault diagnosis is prohibited and the GPF pressure difference sensor signal rationality fault diagnosis is completed. If not, the diagnosis continues. Next, it is determined whether the vehicle is in a static operating condition. When the engine speed is 0, the vehicle speed is 0, and the duration reaches a certain value (for example, 10s), the vehicle is considered to be in a static operating condition, and there is no air flow in the exhaust system. For example, since hybrid vehicles have a pure electric operating condition, the engine speed is 0 under this condition. At the same time, in scenarios such as waiting at a traffic light, the vehicle speed is also 0. Under these conditions, the relevant conditions are met and diagnosis can be performed.

[0027] In step S102, if the vehicle to be detected meets the preset fault diagnosis conditions, the atmospheric pressure, the upstream pressure and the downstream pressure of the particulate trap are obtained, a first difference between the upstream pressure and the downstream pressure is calculated, and it is determined whether the first difference is less than a first preset threshold.

[0028] The first preset threshold may be pre-set by the user, obtained through a limited number of experiments, or obtained through a limited number of computer simulations, and is not specifically limited here. Preferably, the first preset threshold is 25 hPa.

[0029] Specifically, if the vehicle to be tested meets the preset fault diagnosis conditions, the GPF upstream pressure and downstream pressure are collected, and a first difference between the upstream pressure and the downstream pressure is calculated to determine whether the first difference is less than a first preset threshold (such as 25hPa).

[0030] Optionally, in some embodiments, after determining whether the first difference is less than a first preset threshold, the method includes: if the first difference is greater than or equal to the first preset threshold, determining that a static rationality fault exists in the differential pressure sensor of the particle trap.

[0031] Specifically, the calculation of the first difference is based on the deviation between the actual measured value and the theoretical value of the pressure before and after the particle trap. When the first difference is greater than or equal to the first preset threshold, it indicates that the deviation between the actual measured value and the theoretical value exceeds the normal range, which means that the signal of the differential pressure sensor is unreliable and there may be a static rationality fault.

[0032] In step S103, when the first difference is less than the first preset threshold, the second difference between the upstream pressure and the atmospheric pressure and the third difference between the downstream pressure and the atmospheric pressure are calculated, and it is determined whether the larger value of the second difference and the third difference is greater than or equal to the second preset threshold.

[0033] The second preset threshold may be pre-set by the user, obtained through a limited number of experiments, or obtained through a limited number of computer simulations, and is not specifically limited here. Preferably, the second preset threshold is 25 hPa.

[0034] Specifically, when the first difference is less than the first preset threshold, the atmospheric pressure is collected, and the second difference between the GPF upstream pressure and the atmospheric pressure and the third difference between the GPF downstream pressure and the atmospheric pressure are calculated respectively, and the larger of the two differences is taken to determine whether the larger value of the second difference and the third difference is greater than or equal to the second preset threshold, so as to further determine whether there is a fault in the differential pressure sensor of the particulate trap.

[0035] In step S104 , if the larger value is greater than or equal to the second preset threshold, it is determined that a static rationality fault exists in the differential pressure sensor of the particulate trap.

[0036] Specifically, if the larger value is greater than or equal to the second preset threshold (such as 25hPa), it may indicate that the particulate filter pressure difference sensor has a static rationality fault and requires further inspection or repair. If the larger value of the difference is less than the second preset threshold, it is considered that there is no GPF pressure difference sensor static rationality fault and the diagnosis ends.

[0037] Optionally, in some embodiments, after determining that the differential pressure sensor of the particle trap has a static rationality fault, the method includes: generating a reminder instruction based on the static rationality fault, and performing a fault reminder based on the reminder instruction.

[0038] It is understandable that once a static rationality fault is detected by the vehicle system, measures need to be taken to notify the user or maintenance personnel so that the fault can be handled in a timely manner to avoid further impact on vehicle performance or the environment. The embodiment of the present application can generate a reminder instruction based on the static rationality fault. The reminder instruction is a signal or command used to trigger subsequent reminder operations. It can be a simple warning signal or a complex instruction sequence containing information such as the fault type and severity. Then, the fault reminder is performed based on the reminder instruction. The fault reminder method can be varied, depending on the application scenario and system design. Common reminder methods include: (1) instrument panel warning light: a specific fault indicator light is lit on the vehicle instrument panel to remind the driver; (2) sound alarm: an alarm sound is emitted through a buzzer or other sound device; (3) information display: specific fault information is displayed on the vehicle display screen or mobile device; (4) remote notification: the fault information is sent to the maintenance center or the owner's mobile phone through the vehicle's remote communication system.

[0039] In order to enable relevant persons skilled in the art to further understand the method for detecting faults of a differential pressure sensor of a particle trap according to an embodiment of the present application, it is described in detail below in conjunction with specific embodiments.

[0040] like Figure 3 As shown, Figure 3 The hardware architecture diagram for detecting a differential pressure sensor fault in a particulate filter, provided in an embodiment of the present application, includes components such as a vehicle exhaust system, a particulate filter (GPF), a GPF differential pressure sensor, an electronic control unit (ECU), and an atmospheric pressure sensor integrated with the ECU. The GPF differential pressure sensor is connected to the upstream and downstream exhaust systems of the GPF and can respectively collect the exhaust pressure upstream and downstream of the GPF and transmit it to the ECU. The ECU then processes the signal to obtain the differential pressure upstream and downstream of the GPF. The atmospheric pressure sensor is integrated into the ECU and can collect atmospheric pressure in real time. When the engine is in a static state, there is no gas flow in the vehicle exhaust system, and there should be no significant pressure differential between the upstream and downstream GPF systems. If the first difference between the upstream and downstream pressures of the GPF is greater than a first preset threshold, the GPF differential pressure sensor signal is considered unreliable and a rationality fault exists. At the same time, in order to detect the situation where the GPF pressure difference is normal under static conditions but the upstream pressure and downstream pressure deviate from the normal value at the same time, it is also necessary to compare the upstream and downstream pressures of the GPF with the atmospheric pressure. Because the upstream and downstream pipes of the GPF are connected to the atmosphere under static conditions, the upstream and downstream pressures should be close to the atmospheric pressure. If the difference between the upstream and downstream pressures of the GPF and the atmospheric pressure is greater than the second preset threshold, it is also considered that there is a rationality failure of the GPF pressure differential sensor signal.

[0041] Therefore, the embodiment of the present application can determine whether the GPF pressure difference sensor signal is credible by calculating the deviation of the pressure before and after the particulate trap and the deviation of the pressure before and after the particulate trap and the atmospheric pressure under static conditions. The detection method is simple and reliable.

[0042] According to the method for detecting faults of a differential pressure sensor of a particulate trap proposed in an embodiment of the present application, by judging whether the vehicle to be detected meets the preset fault diagnosis conditions, if the vehicle to be detected meets the preset fault diagnosis conditions, the atmospheric pressure, the upstream pressure and the downstream pressure of the particulate trap are obtained, the first difference between the upstream pressure and the downstream pressure is calculated, and it is judged whether the first difference is less than the first preset threshold value. When the first difference is less than the first preset threshold value, the second difference between the upstream pressure and the atmospheric pressure and the third difference between the downstream pressure and the atmospheric pressure are calculated, and it is judged whether the larger value of the second difference and the third difference is greater than or equal to the second preset threshold value. If the larger value is greater than or equal to the second preset threshold value, it is determined that the differential pressure sensor of the particulate trap has a static rationality fault. Thus, the problem that the pressure sensor cannot be detected under static working conditions is solved, the technical gap that cannot be detected under static conditions is filled, the influence of interference factors is reduced, and it can more accurately judge whether the differential pressure sensor signal is credible, thereby improving the accuracy and reliability of fault detection.

[0043] Next, a pressure difference sensor fault detection device for a particulate trap according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0044] Figure 4 4 is a block diagram of a device for detecting a fault of a differential pressure sensor of a particle trap according to an embodiment of the present application.

[0045] like Figure 4 As shown, the device 10 for detecting faults of a differential pressure sensor of a particulate trap includes: a judgment module 100 , an acquisition module 200 , a calculation module 300 and a determination module 400 .

[0046] The judgment module 100 is used to judge whether the vehicle to be detected meets the preset fault diagnosis conditions.

[0047] The acquisition module 200 is used to obtain the atmospheric pressure, the upstream pressure and the downstream pressure of the particulate filter when the vehicle to be detected meets the preset fault diagnosis conditions, calculate the first difference between the upstream pressure and the downstream pressure, and determine whether the first difference is less than a first preset threshold.

[0048] The calculation module 300 is used to calculate the second difference between the upstream pressure and the atmospheric pressure and the third difference between the downstream pressure and the atmospheric pressure when the first difference is less than the first preset threshold, and to determine whether the larger value of the second difference and the third difference is greater than or equal to the second preset threshold.

[0049] The determination module 400 is configured to determine that a static rationality fault exists in the differential pressure sensor of the particle trap when the larger value is greater than or equal to a second preset threshold.

[0050] Optionally, in some embodiments, after determining whether the first difference is less than a first preset threshold, the acquisition module 100 includes: a determination unit.

[0051] The determination unit is configured to determine that a static rationality fault exists in the differential pressure sensor of the particle trap when the first difference is greater than or equal to a first preset threshold.

[0052] Optionally, in some embodiments, the preset fault diagnosis condition is that the vehicle to be detected does not have a prohibited diagnosis fault and the vehicle to be detected is in a static operating condition of the vehicle to be detected.

[0053] Optionally, in some embodiments, the prohibited diagnostic fault includes at least one of a differential pressure sensor circuit fault of the particulate trap, a system fault of the particulate trap, and a barometric pressure sensor fault.

[0054] Optionally, in some embodiments, after determining that the differential pressure sensor of the particle trap has a static rationality fault, the determination module 400 includes: a prompting unit.

[0055] The reminder unit is used to generate a reminder instruction based on the static rationality fault and to perform a fault reminder based on the reminder instruction.

[0056] It should be noted that the above explanation of the embodiment of the method for detecting faults of a differential pressure sensor of a particulate trap is also applicable to the device for detecting faults of a differential pressure sensor of a particulate trap of this embodiment, and will not be repeated here.

[0057] According to the fault detection device for the differential pressure sensor of the particulate trap proposed in the embodiment of the present application, by judging whether the vehicle to be detected meets the preset fault diagnosis conditions, if the vehicle to be detected meets the preset fault diagnosis conditions, the atmospheric pressure, the upstream pressure and the downstream pressure of the particulate trap are obtained, the first difference between the upstream pressure and the downstream pressure is calculated, and it is judged whether the first difference is less than the first preset threshold value. When the first difference is less than the first preset threshold value, the second difference between the upstream pressure and the atmospheric pressure and the third difference between the downstream pressure and the atmospheric pressure are calculated, and it is judged whether the larger value of the second difference and the third difference is greater than or equal to the second preset threshold value. If the larger value is greater than or equal to the second preset threshold value, it is determined that the differential pressure sensor of the particulate trap has a static rationality fault. As a result, the problem that the pressure sensor cannot be detected under static working conditions is solved, the technical gap that cannot be detected under static conditions is filled, the influence of interference factors is reduced, and it can more accurately judge whether the differential pressure sensor signal is credible, thereby improving the accuracy and reliability of fault detection.

[0058] Figure 5 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application. The vehicle may include: Memory 501 , processor 502 , and computer programs stored in the memory 501 and executable on the processor 502 .

[0059] When the processor 502 executes the program, the method for detecting a fault of a differential pressure sensor of a particulate trap provided in the above embodiment is implemented.

[0060] Furthermore, the vehicle further comprises: The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0061] The memory 501 is used to store computer programs that can be run on the processor 502 .

[0062] The memory 501 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.

[0063] If the memory 501, processor 502, and communication interface 503 are implemented independently, the communication interface 503, memory 501, and processor 502 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 5 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.

[0064] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0065] The processor 502 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.

[0066] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for detecting a fault of a differential pressure sensor of a particle trap.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] 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.

[0072] 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 detecting a fault in a differential pressure sensor of a particle trap, characterized in that: The following steps are involved: Determine whether the vehicle to be tested meets the preset fault diagnosis conditions; If the vehicle to be detected meets the preset fault diagnosis condition, obtaining atmospheric pressure, upstream pressure and downstream pressure of the particulate trap, calculating a first difference between the upstream pressure and the downstream pressure, and determining whether the first difference is less than a first preset threshold; If the first difference is less than the first preset threshold, calculating a second difference between the upstream pressure and the atmospheric pressure, and a third difference between the downstream pressure and the atmospheric pressure, and determining whether a larger value of the second difference or the third difference is greater than or equal to a second preset threshold; If the larger value is greater than or equal to the second preset threshold, it is determined that a static rationality fault exists in the differential pressure sensor of the particle trap.

2. The method according to claim 1, characterized in that After determining whether the first difference is less than a first preset threshold, the method includes: If the first difference is greater than or equal to the first preset threshold, it is determined that the differential pressure sensor of the particulate trap has the static rationality fault.

3. The method according to claim 1, characterized in that The preset fault diagnosis condition is that the vehicle to be detected does not have a prohibited diagnosis fault and the vehicle to be detected is in the static working condition of the vehicle to be detected.

4. The method according to claim 3, characterized in that The prohibited diagnosis fault includes at least one of a particulate trap pressure difference sensor circuit fault, a particulate trap system fault, and an atmospheric pressure sensor fault.

5. The method according to claim 1 or 2, characterized in that After determining that the differential pressure sensor of the particle trap has the static rationality fault, the method includes: A reminder instruction is generated based on the static rationality fault, and a fault reminder is performed based on the reminder instruction.

6. A device for detecting a fault of a differential pressure sensor of a particle trap, characterized in that: include: A judgment module is used to judge whether the vehicle to be detected meets the preset fault diagnosis conditions; an acquisition module, configured to, when the vehicle to be detected meets the preset fault diagnosis condition, acquire atmospheric pressure, an upstream pressure and a downstream pressure of the particulate trap, calculate a first difference between the upstream pressure and the downstream pressure, and determine whether the first difference is less than a first preset threshold; a calculation module, configured to calculate, when the first difference is less than the first preset threshold, a second difference between the upstream pressure and the atmospheric pressure and a third difference between the downstream pressure and the atmospheric pressure, and determine whether a larger value of the second difference or the third difference is greater than or equal to a second preset threshold; The determination module is configured to determine that a static rationality fault exists in the differential pressure sensor of the particle trap when the larger value is greater than or equal to the second preset threshold.

7. The device according to claim 6, characterized in that After determining whether the first difference is less than a first preset threshold, the obtaining module includes: The determination unit is configured to determine that the static rationality fault exists in the pressure difference sensor of the particle trap when the first difference is greater than or equal to the first preset threshold.

8. The device according to claim 6, characterized in that The preset fault diagnosis condition is that the vehicle to be detected does not have a prohibited diagnosis fault and the vehicle to be detected is in the static working condition of the vehicle to be detected.

9. 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 detecting faults of a differential pressure sensor of a particle trap according to any one of claims 1 to 5.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the method for detecting faults of a differential pressure sensor of a particulate trap according to any one of claims 1 to 5.

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