Method, device and storage medium for predicting abnormality of engine air supply system

Abstract

This application provides a method, apparatus, and storage medium for predicting abnormalities in an engine air supply system. The method includes: latching a first set of relevant pressure parameters when the engine operating condition switches from a steady-state condition to a transient loading condition; acquiring a second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition, wherein the first and second sets of relevant pressure parameters are pressure parameters related to the operating load, the first set of relevant pressure parameters includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine air supply system, and the second set of relevant pressure parameters includes multiple second pressure parameters detected by multiple pressure sensors; and predicting abnormal faults in the engine air supply system in segments based on the magnitude of the difference between the first and second sets of relevant pressure parameters. This solution solves the problem that related solutions cannot achieve rapid location of early abnormalities in the air supply system.

Description

Technical Field

[0001] This application relates to the field of engines, and more specifically, to a method, apparatus, storage medium, and electronic device for predicting anomalies in an engine air supply system. Background Technology

[0002] The natural gas engine gas supply system mainly consists of a gas tank, carburetor, buffer tank, shut-off valve, pressure regulator (pressure reducer), filter, gas supply pipeline, gas rail, injection valve, etc. Failure of any of these components will cause abnormal operation of the gas supply system, further leading to excessively low or high gas pressure. Problems such as minor leaks or blockages in the gas supply pipeline, filter blockage, or jamming of related mechanical parts in the gas supply system can cause uneven gas supply. When the fault is minor, the impact on the engine under steady-state conditions is not significant. However, under transient loading conditions, such as when the vehicle is climbing a hill, shifting gears, or accelerating rapidly, uneven gas supply can cause the gas pressure to be low or rise slowly. The fuel injection may not reach the required value in a short time, resulting in insufficient power of the vehicle. If the gas pressure is not low enough to reach the diagnostic threshold, conventional low gas pressure fault detection methods cannot quickly locate the cause of insufficient power. Even if a low pressure fault is reported after the pressure falls below the threshold, the fault location of the gas supply system cannot be accurately located.

[0003] In other words, the relevant solutions cannot quickly locate early anomalies in the gas supply system. Summary of the Invention

[0004] The main objective of this application is to provide a method, device, storage medium, and electronic device for predicting abnormalities in an engine air supply system, so as to at least solve the problem that related solutions cannot achieve rapid location of early abnormalities in the air supply system.

[0005] To achieve the above objectives, according to one aspect of this application, a method for predicting anomalies in an engine air supply system is provided, comprising: latching a first set of relevant pressure parameters when the engine operating condition switches from a steady-state condition to a transient load condition, wherein the steady-state condition is a condition where the fluctuation of relevant parameters of the engine air supply system is less than a preset fluctuation, and the transient load condition is a condition where the fuel injection quantity of the engine air supply system increases instantaneously; acquiring a second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient load condition, wherein the first set of relevant pressure parameters and the second set of relevant pressure parameters are pressure parameters related to the operating load, and the first set of relevant pressure parameters includes parameters installed on the engine air supply system. The engine air supply system receives multiple first pressure parameters from multiple pressure sensors. The second set of related pressure parameters includes multiple second pressure parameters received from the same pressure sensors. Any two pressure sensors correspond to different detection points. The first pressure parameters and second pressure parameters are in one-to-one correspondence, and the corresponding first and second pressure parameters are detected by the same pressure sensor at different times. Based on the magnitude of the difference between the first set of related pressure parameters and the second set of related pressure parameters, abnormal faults in the engine air supply system are predicted in segments. The segments are based on the detection points, and the type of abnormal fault changes with the magnitude of the difference.

[0006] Optionally, before latching the first set of relevant pressure parameters when the engine operating condition switches from a steady-state condition to a transient loading condition, the method further includes: determining whether the vehicle's air supply system meets a first preset condition, wherein the first preset condition includes: the remaining fuel amount in the vehicle's gas cylinder is greater than or equal to a preset fuel amount, the gas cylinder pressure is greater than or equal to a first preset pressure, the buffer tank pressure is greater than or equal to a second preset pressure, and there is currently no known air supply system-related fault; determining whether the engine-related parameters meet a second preset condition, wherein the second preset condition includes: the engine speed is greater than a preset speed, the intake pressure is greater than a third preset pressure, and the rail gas pressure is greater than a fourth preset pressure; determining whether the engine operating condition is the transient loading condition; and if the vehicle's air supply system meets the first preset condition, the engine-related parameters meet the second preset condition, and the engine operating condition is the transient loading condition, determining to execute the latching step: latching the first set of relevant pressure parameters when the engine operating condition switches from a steady-state condition to a transient loading condition.

[0007] Optionally, after determining whether the engine-related parameters meet the second preset condition, the method further includes: if the vehicle air supply system meets the first preset condition and the engine-related parameters do not meet the second preset condition, determining that there is a fault of reduced air supply capacity of the air supply system.

[0008] Optionally, the method further includes: before determining whether the vehicle gas supply system meets the first preset condition, performing an acquisition step: acquiring the remaining fuel quantity in the vehicle gas cylinder, the gas cylinder pressure, the buffer tank pressure, the engine speed, the intake pressure, and the gas rail pressure; if the vehicle gas supply system does not meet the first preset condition, proceeding to the acquisition step; if the engine operating condition is not the transient loading condition, proceeding to the acquisition step.

[0009] Optionally, the detection points include a first detection point, a second detection point, and a third detection point. The cylinder pressure is measured at the first detection point, the buffer tank pressure is measured at the second detection point, and the gas rail pressure is measured at the third detection point. Based on the differences between the first set of relevant pressure parameters and the second set of relevant pressure parameters, abnormal faults in the engine's air supply system are predicted in segments, including: obtaining a first difference, a second difference, and a third difference. The first difference is the difference between the first cylinder pressure in the first set of relevant pressure parameters and the second cylinder pressure in the second set of relevant pressure parameters; the second difference is the difference between the first buffer tank pressure in the first set of relevant pressure parameters and the second buffer tank pressure in the second set of relevant pressure parameters; and the third difference is the difference between the first gas rail pressure in the first set of relevant pressure parameters and the second gas rail pressure in the second set of relevant pressure parameters. If the difference is greater than a first threshold, the abnormal fault of the engine air supply system is predicted to be a gas cylinder supply abnormality; if the first difference is less than or equal to the first threshold and the second difference is greater than the second threshold, the abnormal fault of the engine air supply system is predicted to be a vaporization system abnormality, including faults in the vaporizer and buffer tank components; if the first difference is less than or equal to the first threshold, the second difference is less than or equal to the second threshold, and the third difference is greater than the third threshold, the abnormal fault of the engine air supply system is predicted to be an air supply pipeline abnormality, including faults in related components on the air supply pipeline; if the first difference is less than or equal to the first threshold, the second difference is less than or equal to the second threshold, and the third difference is less than or equal to the third threshold, the abnormal fault of the engine air supply system is predicted to be no abnormality.

[0010] Optionally, the method further includes: constructing a first preset association relationship, a second preset association relationship, a third preset association relationship, and a fourth preset association relationship, wherein the first preset association relationship is the association relationship between engine speed, intake pressure, and the preset time period; the second preset association relationship is the association relationship between engine speed, intake pressure, and a first threshold; the third preset association relationship is the association relationship between engine speed, intake pressure, and the second threshold; and the fourth preset association relationship is the association relationship between engine speed, intake pressure, and the third threshold; determining the preset time period under the current operating condition based on the first preset association relationship, the engine speed under the current operating condition, and the intake pressure; determining the first threshold under the current operating condition based on the second preset association relationship, the engine speed under the current operating condition, and the intake pressure; determining the second threshold under the current operating condition based on the third preset association relationship, the engine speed under the current operating condition, and the intake pressure; and determining the third threshold under the current operating condition based on the third preset association relationship, the engine speed under the current operating condition, and the intake pressure.

[0011] Optionally, obtaining a second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition includes: obtaining the minimum value of multiple second set of relevant pressure parameters within the preset time period after the engine air supply system enters the transient loading condition.

[0012] According to another aspect of this application, a predictive device for an abnormality in an engine air supply system is provided, comprising: a latching unit for latching a first set of relevant pressure parameters when the engine operating condition switches from a steady-state condition to a transient load condition, wherein the steady-state condition is a condition where the fluctuation of relevant parameters of the engine air supply system is less than a preset fluctuation, and the transient load condition is a condition where the fuel injection quantity of the engine air supply system increases instantaneously; and an acquisition unit for acquiring a second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient load condition, wherein the first set of relevant pressure parameters and the second set of relevant pressure parameters are pressure parameters related to the operating load, and the first set of relevant pressure parameters includes parameters installed on the engine... The air supply system includes multiple first pressure parameters detected by multiple pressure sensors, and a second set of related pressure parameters including multiple second pressure parameters detected by the same pressure sensors. Any two pressure sensors correspond to different detection points. The first pressure parameters and second pressure parameters are in one-to-one correspondence, and the corresponding first and second pressure parameters are detected by the same pressure sensor at different times. A segmented prediction unit is used to predict abnormal faults in the engine air supply system in segments based on the magnitude of the difference between the first set of related pressure parameters and the second set of related pressure parameters. The segments are based on the detection points, and the type of abnormal fault changes with the magnitude of the difference.

[0013] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform any of the aforementioned methods for predicting engine air supply system anomalies.

[0014] According to another aspect of this application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including a method for performing any of the aforementioned methods for predicting engine air supply system anomalies.

[0015] By applying the technical solution of this application, a first set of relevant pressure parameters is latched when the engine operating condition switches from a steady-state condition to a transient loading condition, and a second set of relevant pressure parameters is obtained within a preset time period after the engine air supply system enters the transient loading condition. The first and second sets of relevant pressure parameters are pressure parameters related to the operating load. The first set of relevant pressure parameters includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine air supply system, and the second set of relevant pressure parameters includes multiple second pressure parameters detected by multiple pressure sensors. Therefore, based on the magnitude of the difference between the first and second sets of relevant pressure parameters, abnormal faults in the engine air supply system can be predicted in segments. This solves the problem that related solutions cannot achieve rapid location of early abnormalities in the air supply system. Attached Figure Description

[0016] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0017] Figure 1 A hardware structure block diagram of a mobile terminal for performing a method for predicting engine air supply system anomalies, according to an embodiment of this application, is shown.

[0018] Figure 2 A flowchart illustrating a method for predicting anomalies in an engine air supply system according to an embodiment of this application is shown.

[0019] Figure 3 A simplified diagram of the air supply system for a method of predicting engine air supply system anomalies according to an embodiment of this application is shown.

[0020] Figure 4 A flowchart illustrating a predictive fault for an abnormality in an engine air supply system according to an embodiment of this application is shown.

[0021] Figure 5 A control flowchart of a method for predicting anomalies in an engine air supply system according to an embodiment of this application is shown.

[0022] Figure 6 A structural block diagram of a predictive device for an engine air supply system anomaly provided according to an embodiment of this application is shown.

[0023] The above figures include the following reference numerals:

[0024] 102. Processor; 104. Memory; 106. Transmission equipment; 108. Input / output device; 010. First detection point; 020. Second detection point; 030. Third detection point; 040. Self-pressurizing coil; 050. LNG tank; 060. Vaporizer; 070. Buffer tank; 080. Shut-off valve; 090. Pressure reducing valve; 100. Filter; 110. Gas rail; 120. Mixer; 130. EGC. Detailed Implementation

[0025] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0026] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0027] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0028] For ease of description, the following explains some of the nouns or terms used in the embodiments of this application:

[0029] MAP: A two-dimensional array; input X, Y, output the corresponding Z.

[0030] EGC: Exhaust Gas Cleaning system. Existing EGC systems are divided into dry and wet types. Wet EGC systems use seawater and freshwater with chemical additives to clean SOx and particulate matter; dry EGC systems use granular slaked lime to adsorb SOx and particulate matter. Both methods have excellent desulfurization effects.

[0031] As described in the background section, the related technologies cannot achieve rapid location of early anomalies in the air supply system. To solve the problem of not being able to achieve rapid location of early anomalies in the air supply system, the embodiments of this application provide a method, device, storage medium, and electronic device for predicting anomalies in the engine air supply system.

[0032] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0033] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a method of predicting abnormalities in an engine air supply system according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0034] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the engine air supply system anomaly prediction method in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0035] This embodiment provides a method for predicting abnormalities in the engine air supply system running on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0036] Figure 2 This is a flowchart of a method for predicting engine air supply system anomalies according to an embodiment of this application. Figure 2 As shown, the method includes the following steps:

[0037] Step S201: Latch the first set of relevant pressure parameters when the engine operating condition changes from steady state to transient loading condition;

[0038] The engine is a natural gas engine;

[0039] Among them, the steady-state condition is the condition in which the fluctuation of the relevant parameters of the engine air supply system is less than the preset fluctuation. Ideally, the fluctuation of the relevant parameters is zero. The transient loading condition is the condition in which the fuel injection quantity of the engine air supply system increases instantaneously.

[0040] Step S202: Obtain the second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition;

[0041] Among them, the first set of relevant pressure parameters and the second set of relevant pressure parameters are pressure parameters related to the operating load. The first set of relevant pressure parameters includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine air supply system, and the second set of relevant pressure parameters includes multiple second pressure parameters detected by multiple pressure sensors.

[0042] Specifically, any two pressure sensors correspond to different detection points, the first pressure parameter and the second pressure parameter are in one-to-one correspondence, and the one-to-one correspondence of the first pressure parameter and the second pressure parameter is obtained by the same pressure sensor at different times.

[0043] Step S203: Based on the magnitude of the difference between the first set of relevant pressure parameters and the second set of relevant pressure parameters, predict abnormal faults in the engine air supply system in segments.

[0044] The segment is based on the detection point, and the category of abnormal fault changes with the magnitude of the difference.

[0045] For example, two testing points divide the entire engine air supply system into three sections, three testing points divide the entire engine air supply system into four sections, and so on, with N testing points dividing the entire engine air supply system into N+1 sections.

[0046] This solution latches the first set of relevant pressure parameters when the engine's operating state switches from steady-state to transient loading condition. It then acquires the second set of relevant pressure parameters within a preset time period after the engine's air supply system enters transient loading condition. Based on the difference between the first and second sets of relevant pressure parameters, it predicts abnormal faults in the engine's air supply system in segments. By considering the influence and variation characteristics of steady-state and transient loading conditions on the relevant pressures of various components in the air supply system, and taking into account the magnitude of the difference, it performs segmented fault pre-diagnosis of the air supply system. This enables rapid location and diagnosis of early-stage anomalies in the air supply system, improving the reliability of the entire vehicle operation.

[0047] In the method embodiments of this application, before latching the first set of relevant pressure parameters when the engine operating condition switches from steady-state to transient loading condition, the method includes:

[0048] Determine whether the vehicle's air supply system meets the first preset condition;

[0049] Determine whether the engine-related parameters meet the second preset condition;

[0050] Specifically, by determining whether the relevant parameters of the vehicle's air supply system and engine meet the preset conditions, the impact of the air supply system and engine operating parameters on fault diagnosis is clarified, and preset conditions are set, thereby improving the accuracy and timeliness of pre-diagnosis.

[0051] Determine whether the engine operating condition is a transient loading condition;

[0052] If the vehicle air supply system meets the first preset condition, the engine-related parameters meet the second preset condition, and the engine operating condition is a transient loading condition, then the latching step is executed: latch the first set of related pressure parameters when the engine operating condition changes from a steady-state condition to a transient loading condition.

[0053] The first preset conditions include: the remaining fuel amount in the vehicle's gas cylinder is greater than or equal to the preset fuel amount, the gas cylinder pressure is greater than or equal to the first preset pressure, the buffer tank pressure is greater than or equal to the second preset pressure, and there are currently no known gas supply system related faults.

[0054] For example, the preset fuel quantity is 50%, the first preset pressure is 12 bar, and the second preset pressure is 10 bar. Known gas supply system-related faults include mechanical components, electrical components, and sensor faults.

[0055] The second preset conditions include: engine speed greater than preset speed, intake pressure greater than third preset pressure, and rail gas pressure greater than fourth preset pressure.

[0056] For example, the preset speed is 1100 rpm, the third preset pressure is 1600 hpa, and the fourth preset pressure is 5.5 bar.

[0057] Through the above steps, the first set of relevant pressure parameters is finally latched when the engine operating condition changes from steady-state to transient loading condition, satisfying the first and second preset conditions. That is, the first set of parameters includes the remaining fuel quantity in the vehicle's gas cylinder, gas cylinder pressure, buffer tank pressure, engine speed, gas rail pressure, intake pressure, operating condition, and related fault status of the gas supply system when the engine operating condition changes from steady-state to transient loading condition. These parameters are then used to compare with the second set of relevant pressure parameters for segmented fault pre-diagnosis of the gas supply system.

[0058] Furthermore, after determining whether the engine-related parameters meet the second preset condition, the process includes:

[0059] If the vehicle's air supply system meets the first preset condition, but the engine's relevant parameters do not meet the second preset condition, a fault is identified where the air supply system's air supply capacity is weakened.

[0060] Specifically, if the vehicle's air supply system meets the first preset condition, but the engine's relevant parameters do not meet the second preset condition, a fault is identified where the air supply system's air supply capacity is weakened. At the same time, a risk of insufficient air supply under high load is indicated.

[0061] Furthermore, it also includes:

[0062] Before determining whether the vehicle's gas supply system meets the first preset condition, the following acquisition steps are performed: acquire the remaining fuel quantity in the vehicle's gas cylinders, gas cylinder pressure, buffer tank pressure, engine speed, intake pressure, and gas rail pressure.

[0063] If the vehicle's air supply system does not meet the first preset condition, proceed to the acquisition step;

[0064] If the engine operating condition is not a transient loading condition, proceed to the acquisition step.

[0065] The acquisition process also includes acquiring relevant fault parameters of the gas supply system.

[0066] Among them, the four parameters of the remaining fuel in the vehicle's gas cylinder, gas cylinder pressure, buffer tank pressure, and gas supply system related faults are used to determine whether the vehicle's gas supply system meets the first preset condition. If it does not meet the condition, the process will jump to the acquisition step and acquire the relevant parameters again.

[0067] The acquisition step also includes acquiring operating condition parameters, which are used to determine whether the engine operating condition is a transient loading condition. If not, the process jumps to the acquisition step to acquire the relevant parameters again.

[0068] By acquiring various relevant parameters of the engine, it is determined whether the engine meets the first and second preset conditions, thereby enabling the determination of whether the engine is under transient loading conditions, and further enabling the segmented prediction of engine air supply system faults in the next step.

[0069] In the method embodiments of this application, the detection points include a first detection point, a second detection point, and a third detection point. The cylinder pressure is measured at the first detection point, the buffer tank pressure is measured at the second detection point, and the gas rail gas pressure is measured at the third detection point. Figure 3 A simplified control diagram of an engine air supply system control method according to an embodiment of this application is provided, for example. Figure 3 As shown, the gas supply system mainly includes: first detection point 010, second detection point 020, third detection point 030, self-pressurizing coil 040, LNG tank 050, vaporizer 060, buffer tank 070, shut-off valve 080, pressure reducing valve 090, filter 100, gas rail 110, mixer 120 and EGC 130.

[0070] Step S203: Based on the difference between the first set of relevant pressure parameters and the second set of relevant pressure parameters, predict abnormal faults in the engine air supply system in segments, such as... Figure 4 As shown, it includes:

[0071] Step S2031: Obtain the first difference, the second difference, and the third difference;

[0072] The first difference is the difference between the pressure of the first gas cylinder in the first set of relevant pressure parameters measured at the first detection point and the pressure of the second gas cylinder in the second set of relevant pressure parameters. The second difference is the difference between the pressure of the first buffer tank in the first set of relevant pressure parameters measured at the second detection point and the pressure of the second buffer tank in the second set of relevant pressure parameters. The third difference is the difference between the pressure of the first gas rail gas in the first set of relevant pressure parameters measured at the third detection point and the pressure of the second gas rail gas in the second set of relevant pressure parameters.

[0073] Step S2032: If the first difference is greater than the first threshold, predict that the abnormal fault of the engine air supply system is an abnormal fault of the gas cylinder supply.

[0074] Specifically, the first threshold is determined based on engine speed and intake pressure. In particular, a mapping relationship between engine speed, intake pressure and the first threshold is pre-established.

[0075] Specifically, when the first difference is greater than the first threshold, the abnormal fault of the engine air supply system is predicted to be an abnormal fault of the gas cylinder air supply, and the relevant components of the gas cylinder are prompted to be inspected and repaired in a timely manner.

[0076] Step S2033: If the first difference is less than or equal to the first threshold and the second difference is greater than the second threshold, the abnormal fault of the engine air supply system is predicted to be an abnormal fault of the vaporization system. The abnormal fault of the vaporization system includes faults of the vaporizer and buffer tank related components.

[0077] Specifically, the second threshold is determined based on engine speed and intake pressure. In particular, a mapping relationship between engine speed, intake pressure and the second threshold is pre-established.

[0078] Specifically, when the first difference is less than or equal to the first threshold and the second difference is greater than the second threshold, the abnormal fault of the engine air supply system is predicted to be an abnormal fault of the vaporization system, and the relevant components such as the carburetor and buffer tank are promptly inspected and repaired.

[0079] Step S2034: If the first difference is less than or equal to the first threshold, the second difference is less than or equal to the second threshold, and the third difference is greater than the third threshold, the abnormal fault of the engine air supply system is predicted to be an abnormal fault of the air supply pipeline, and the abnormal fault of the air supply pipeline is a fault of the relevant components on the air supply pipeline.

[0080] Specifically, the third threshold is determined based on engine speed and intake pressure. In particular, a mapping relationship between engine speed, intake pressure and the third threshold is pre-established.

[0081] Specifically, if the first difference is less than or equal to the first threshold, the second difference is less than or equal to the second threshold, and the third difference is greater than the third threshold, the system predicts that the abnormal fault in the engine air supply system is an abnormal fault in the air supply pipeline. Simultaneously, it prompts timely inspection and maintenance of the pressure reducing valve (pressure regulator), shut-off valve, filter, and pipelines to check for problems such as jamming, blockage, and leaks.

[0082] Step S2035: If the first difference is less than or equal to the first threshold, the second difference is less than or equal to the second threshold, and the third difference is less than or equal to the third threshold, it is predicted that there is no abnormal fault in the engine air supply system.

[0083] Specifically, the gas supply system is divided into three sections by the pressure of the gas cylinder, the pressure of the buffer tank, and the gas rail: the gas cylinder section, the vaporization system (including the buffer tank), and the gas supply pipeline section, which includes the gas supply pipe, pressure reducer (stabilizer), shut-off valve, filter, injection assembly, gas rail, etc.

[0084] Furthermore, this application can also install pressure sensors at different locations on the pipeline to achieve more segmented and more accurate location of gas supply system faults.

[0085] By comparing the difference in relevant pressures with corresponding thresholds, segmented prediction of engine air supply system faults is achieved, thus determining the specific location of the fault in the engine air supply system.

[0086] The method embodiments of this application further include:

[0087] Construct a first preset association, a second preset association, a third preset association, and a fourth preset association;

[0088] Among them, the first preset correlation is the correlation between engine speed, intake pressure and preset time period; the second preset correlation is the correlation between engine speed, intake pressure and first threshold; the third preset correlation is the correlation between engine speed, intake pressure and second threshold; and the fourth preset correlation is the correlation between engine speed, intake pressure and third threshold.

[0089] Based on the first preset correlation, the engine speed and intake pressure under the current operating conditions, the preset time period under the current operating conditions is determined;

[0090] Specifically, the first preset correlation between engine speed, intake pressure and first threshold is calculated in advance using a two-dimensional array MAP1, and then the preset time period under the current operating condition is obtained from the first preset correlation.

[0091] Based on the second preset correlation, the engine speed and intake pressure under the current operating conditions, the first threshold under the current operating conditions is determined;

[0092] Specifically, the second preset correlation between engine speed, intake pressure and the first threshold is calculated in advance using a two-dimensional array MAP2, and then the first threshold under the current operating condition is obtained from the second preset correlation.

[0093] Based on the third preset correlation, the engine speed and intake pressure under the current operating conditions, determine the second threshold under the current operating conditions;

[0094] Specifically, the third preset correlation between engine speed, intake pressure and second threshold is calculated in advance through a two-dimensional array MAP3, and then the second threshold under the current operating condition is obtained from the third preset correlation.

[0095] Based on the fourth preset correlation, the engine speed and intake pressure under the current operating conditions, the third threshold under the current operating conditions is determined.

[0096] Specifically, the fourth preset correlation between engine speed, intake pressure and the third threshold is calculated in advance using a two-dimensional array MAP4, and then the third threshold under the current operating condition is obtained from the fourth preset correlation.

[0097] Among them, intake pressure represents the engine load, and the preset time period and threshold settings for detection are different under different engine speeds and loads.

[0098] By incorporating parameters such as engine speed and load into the judgment threshold of fault pre-diagnosis, the accuracy and timeliness of diagnosis are improved. In addition, by calculating each preset relationship through each two-dimensional array MAP, and then obtaining each threshold, it is used to perform segmented prediction of engine air supply system faults, thereby determining the specific location of engine air supply system faults and further improving the accuracy of prediction.

[0099] In the method embodiment of this application, step S202, obtaining a second set of relevant pressure parameters within a preset time period after the engine air supply system enters transient loading condition, includes:

[0100] Obtain the minimum value of multiple second-group related pressure parameters within a preset time period after the engine air supply system enters transient loading condition.

[0101] Transient loading condition refers to the working condition of equipment in a very short period of time. Due to the nature of transient loading condition, it is more accurate to use the minimum value for subsequent calculations. Therefore, here we choose to obtain the minimum value of multiple second-group related pressure parameters within a preset time period after the engine air supply system enters transient loading condition.

[0102] By obtaining the minimum value of multiple second-group related pressure parameters within a preset time period, the difference between the second-group related pressure parameters and the first-group related pressure parameters is calculated. The relationship between each difference and the corresponding threshold is then determined, thereby identifying the specific location of the engine air supply system fault and further improving the accuracy and stability of subsequent judgments.

[0103] To enable those skilled in the art to better understand the technical solution of this application, the implementation process of the natural gas engine gas supply fault determination method of this application will be described in detail below with reference to specific embodiments.

[0104] Because the required fuel injection quantity varies under different loads and speeds, the gas pressure will also vary, especially under transient conditions where the impact is more pronounced. During transient loading, the fuel injection quantity increases, and the greater the load change, the greater the fuel demand and the greater the pressure drop. If the gas supply system is normal, the pressure in the gas cylinder, buffer tank, and gas rail will drop to a certain value before rising to a certain range and stabilizing. However, if there is an anomaly in the gas supply system, due to the uneven gas supply, the gas pressure will drop significantly during transient loading, and the drop will be faster than under normal conditions. Based on this, this embodiment relates to a method for predicting anomalies in the engine gas supply system, such as... Figure 5 As shown, it includes:

[0105] Step S1: Obtain parameters such as the remaining fuel quantity, cylinder pressure, engine speed, gas pressure, intake pressure, operating status, and related fault status of the gas supply system in the vehicle's gas cylinders.

[0106] Step S2: Determine whether the vehicle air supply system meets the first preset condition; if not, return to step S1; if yes, proceed to step S3.

[0107] Step S3: Determine whether the engine-related parameters meet the second preset condition; if not, proceed to step S4; if yes, proceed to step S5.

[0108] Step S4: Report a fault indicating weakened gas supply capacity in the gas supply system, suggesting a risk of insufficient gas supply under high load;

[0109] Step S5: Determine whether the operating condition is a transient loading condition; if yes, latch the first set of relevant pressure parameters when the engine operating condition changes from a steady-state condition to a transient loading condition, including cylinder pressure A1, buffer tank pressure B1, and rail gas pressure C1; record the second set of relevant pressure parameters within a preset time period T after the transient loading condition, including minimum cylinder pressure A2, minimum buffer tank pressure B2, and minimum rail gas pressure C2; ​​calculate the differences between cylinder pressures A1 and A2, buffer tank pressures B1 and B2, and rail gas pressures C1 and C2, respectively, which are the first difference A, the second difference B, and the third difference C, and execute step S6; if no, return to step S1;

[0110] Step S6: Determine whether A is greater than the first threshold. If yes, report a gas cylinder supply abnormality fault and prompt to repair the relevant gas cylinder components. If no, proceed to step S7.

[0111] Step S7: Determine whether B is greater than the second threshold. If yes, report an abnormal fault in the vaporization system and prompt for maintenance of the vaporizer and buffer tank components. If no, proceed to step S8.

[0112] Step S8: Determine if C is greater than the third threshold: If yes, report an abnormal fault in the gas supply line, indicating whether there are problems such as blockage, obstruction, or leakage in the relevant components of the gas supply line, such as pressure reducing valve (pressure regulating valve), shut-off valve, filter, and pipeline; if no, the gas supply system is normal.

[0113] The system latches the first set of relevant pressure parameters when the engine's operating state switches from steady-state to transient loading condition; it then acquires the second set of relevant pressure parameters within a preset time period after the engine's air supply system enters transient loading condition. Both sets of relevant pressure parameters are load-related. The first set includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine's air supply system, and the second set includes multiple second pressure parameters detected by multiple pressure sensors. Based on the difference between the first and second sets of relevant pressure parameters, the system predicts abnormal faults in the engine's air supply system in segments. This solves the problem that related solutions cannot quickly locate early-stage anomalies in the air supply system, achieving segmented location of early-stage anomalies and improving the speed and accuracy of fault location.

[0114] It should be noted that the steps shown in the flowchart in 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 may be executed in a different order than that shown here.

[0115] This application also provides a device for predicting engine air supply system anomalies. It should be noted that this device can be used to execute the method for predicting engine air supply system anomalies provided in this application. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0116] The following describes the engine air supply system anomaly prediction device provided in the embodiments of this application.

[0117] Figure 6 A schematic diagram of a device for predicting abnormalities in the engine air supply system according to an embodiment of this application. (See diagram below.) Figure 6 As shown, the device includes:

[0118] The latching unit 61 is used to latch the first set of relevant pressure parameters when the engine operating condition changes from steady state to transient loading condition. The steady state condition is the condition in which the fluctuation of the relevant parameters of the engine air supply system is less than the preset fluctuation, and the transient loading condition is the condition in which the fuel injection quantity of the engine air supply system increases instantaneously.

[0119] The acquisition unit 62 is used to acquire a second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition. The first set of relevant pressure parameters and the second set of relevant pressure parameters are pressure parameters related to the operating load. The first set of relevant pressure parameters includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine air supply system. The second set of relevant pressure parameters includes multiple second pressure parameters detected by multiple pressure sensors. Any two pressure sensors have different detection points. The first pressure parameters and the second pressure parameters are in one-to-one correspondence. The one-to-one correspondence between the first pressure parameters and the second pressure parameters is obtained by the same pressure sensor at different times.

[0120] The segmented prediction unit 63 is used to predict abnormal faults in the engine air supply system in segments based on the magnitude of the difference between the first set of relevant pressure parameters and the second set of relevant pressure parameters. The segments are divided based on the detection points, and the category of abnormal fault changes with the magnitude of the difference.

[0121] The engine air supply system anomaly prediction device of this application includes: a latching unit for latching a first set of relevant pressure parameters when the engine operating condition switches from steady-state to transient loading condition; an acquisition unit for acquiring a second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition; and a segmented prediction unit for segmenting and predicting abnormal faults in the engine air supply system based on the magnitude of the difference between the first and second sets of relevant pressure parameters. It considers the influence and change characteristics of steady-state and transient loading conditions on the relevant pressures of various components of the air supply system, and takes into account the magnitude of the difference, performing segmented fault pre-diagnosis of the air supply system. This achieves rapid location and diagnosis of early-stage anomalies in the air supply system, improving the reliability of the entire vehicle operation.

[0122] In embodiments of this application, the device further includes a first determining unit, used to determine whether the vehicle air supply system meets a first preset condition, wherein the first preset condition includes: the remaining fuel amount in the vehicle gas cylinder is greater than or equal to a preset fuel amount, the gas cylinder pressure is greater than or equal to a first preset pressure, the buffer tank pressure is greater than or equal to a second preset pressure, and there is currently no known air supply system related fault; a second determining unit, used to determine whether the engine related parameters meet a second preset condition, wherein the second preset condition includes: the engine speed is greater than a preset speed, the intake pressure is greater than a third preset pressure, and the air rail gas pressure is greater than a fourth preset pressure; a third determining unit, used to determine whether the engine operating condition is a transient loading condition; and a fourth determining unit, used to determine to execute a latching step when the vehicle air supply system meets the first preset condition, the engine related parameters meet the second preset condition, and the engine operating condition is a transient loading condition: latching the first set of related pressure parameters when the engine operating condition switches from a steady-state condition to a transient loading condition. As shown above, by setting four determining units, the first set of relevant pressure parameters is finally latched when the engine operating condition changes from steady-state to transient loading condition, satisfying the first and second preset conditions. That is, the first set of parameters of the remaining fuel in the vehicle gas cylinder, gas cylinder pressure, buffer tank pressure, engine speed, gas rail pressure, intake pressure, operating condition and related fault status of the gas supply system when the engine operating condition changes from steady-state to transient loading condition. These parameters are then used to compare with the second set of relevant pressure parameters for segmented fault pre-diagnosis of the gas supply system.

[0123] In embodiments of this application, the device further includes a fifth determining unit, configured to determine that a fault exists where the air supply capacity of the air supply system is weakened when the vehicle air supply system meets a first preset condition but the engine-related parameters do not meet a second preset condition. In other words, when the vehicle air supply system meets the first preset condition but the engine-related parameters do not meet the second preset condition, a fault is determined where the air supply capacity of the air supply system is weakened, and a warning is issued indicating a risk of insufficient air supply under high load.

[0124] In the embodiments of this application, the device further includes an execution unit, a first jump unit, and a second jump unit. The execution unit is used to perform an acquisition step before determining whether the vehicle's air supply system meets the first preset condition: acquiring the remaining fuel quantity in the vehicle's gas cylinder, gas cylinder pressure, buffer tank pressure, engine speed, intake pressure, and rail gas pressure. The first jump unit is used to jump to the acquisition step if the vehicle's air supply system does not meet the first preset condition. The second jump unit is used to jump to the acquisition step if the engine operating condition is not a transient loading condition. As described above, through the above units, relevant pressure values, including the remaining fuel quantity in the vehicle's gas cylinder, gas cylinder pressure, buffer tank pressure, engine speed, intake pressure, and rail gas pressure, that meet the first and second preset conditions are finally obtained, thereby enabling the next step of segmented prediction of engine air supply system faults.

[0125] In embodiments of this application, the segmented prediction unit includes an acquisition module, a first prediction module, a second prediction module, and a third prediction module. The acquisition module is used to acquire a first difference, a second difference, and a third difference. The first difference is the difference between the pressure of the first gas cylinder in the first set of related pressure parameters and the pressure of the second gas cylinder in the second set of related pressure parameters. The second difference is the difference between the pressure of the first buffer tank in the first set of related pressure parameters and the pressure of the second buffer tank in the second set of related pressure parameters. The third difference is the difference between the pressure of the first gas rail fuel in the first set of related pressure parameters and the pressure of the second gas rail fuel in the second set of related pressure parameters. The first prediction module is used to predict that an abnormal fault in the engine air supply system is a gas cylinder air supply abnormality when the first difference is greater than a first threshold. The second prediction module... The first prediction module is used to predict that the abnormal fault of the engine air supply system is a vaporization system abnormal fault when the first difference is less than or equal to the first threshold and the second difference is greater than the second threshold. The vaporization system abnormal fault includes faults in the vaporizer and buffer tank related components. The second prediction module is used to predict that the abnormal fault of the engine air supply system is an air supply pipeline abnormal fault when the first difference is less than or equal to the first threshold, the second difference is less than or equal to the second threshold and the third difference is greater than the third threshold. The third prediction module is used to predict that there is no abnormal fault in the engine air supply system when the first difference is less than or equal to the first threshold, the second difference is less than or equal to the second threshold and the third difference is less than or equal to the third threshold. As mentioned above, the gas supply system is divided into three sections by the gas cylinder pressure, buffer tank pressure, and gas rail gas pressure: the gas cylinder section, the vaporization system (including the buffer tank), and the gas supply pipeline section. By comparing the difference between the relevant pressures with the corresponding thresholds, the segmented prediction of engine gas supply system faults can be achieved, and the specific location of the engine gas supply system fault can be determined. In addition, this application can also install pressure sensors at different locations on the pipeline to achieve more segmented and more accurate fault location of the gas supply system.

[0126] In embodiments of this application, the device further includes a construction unit, a sixth determining unit, a seventh determining unit, an eighth determining unit, and a ninth determining unit. The construction unit is used to construct a first preset association relationship, a second preset association relationship, a third preset association relationship, and a fourth preset association relationship. The first preset association relationship is the association relationship between engine speed, intake pressure, and a preset time period; the second preset association relationship is the association relationship between engine speed, intake pressure, and a first threshold; the third preset association relationship is the association relationship between engine speed, intake pressure, and a second threshold; and the fourth preset association relationship is the association relationship between engine speed, intake pressure, and a third threshold. The sixth determining unit is used to determine a preset time period under the current operating condition based on the first preset association relationship, the engine speed, and intake pressure under the current operating condition. The seventh determining unit is used to determine a first threshold under the current operating condition based on the second preset association relationship, the engine speed, and intake pressure under the current operating condition. The eighth determining unit is used to determine a second threshold under the current operating condition based on the third preset association relationship, the engine speed, and intake pressure under the current operating condition. The ninth determining unit is used to determine a third threshold under the current operating condition based on the fourth preset association relationship, the engine speed, and intake pressure under the current operating condition. As shown above, each preset relationship is calculated through each two-dimensional array MAP, and then each threshold is obtained. This threshold is used for the subsequent segmented prediction of engine air supply system faults, thereby determining the specific location of the engine air supply system faults and improving the accuracy of the prediction.

[0127] In the embodiments of this application, the acquisition unit includes an acquisition module, used to acquire the minimum values ​​of multiple second-group related pressure parameters within a preset time period after the engine air supply system enters the transient loading condition. As described above, by acquiring the minimum values ​​of multiple second-group related pressure parameters within the preset time period and using them to subsequently calculate the differences with the first-group related pressure parameters, the relationship between each difference and the corresponding threshold is further determined, thereby identifying the specific location of the engine air supply system fault and further improving the accuracy and stability of subsequent judgments.

[0128] The engine air supply system anomaly prediction device includes a processor and a memory. The latching unit, acquisition unit, and segmented prediction unit are all stored as program units in the memory, and the processor executes these program units to achieve the corresponding functions. All of the above modules reside in the same processor; alternatively, the modules may be located in different processors in any combination.

[0129] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and adjusting kernel parameters can enable rapid localization of early anomalies in the gas supply system.

[0130] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0131] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to execute a method for predicting abnormalities in the engine air supply system.

[0132] Specifically, methods for predicting engine air supply system anomalies include:

[0133] Step S201: Latch the first set of relevant pressure parameters when the engine operating condition changes from steady state to transient loading condition;

[0134] Among them, the steady-state condition is the condition in which the fluctuation of the relevant parameters of the engine air supply system is less than the preset fluctuation, and the transient loading condition is the condition in which the fuel injection quantity of the engine air supply system increases instantaneously.

[0135] Step S202: Obtain the second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition;

[0136] Among them, the first set of relevant pressure parameters and the second set of relevant pressure parameters are pressure parameters related to the operating load. The first set of relevant pressure parameters includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine air supply system, and the second set of relevant pressure parameters includes multiple second pressure parameters detected by multiple pressure sensors.

[0137] Specifically, any two pressure sensors correspond to different detection points, the first pressure parameter and the second pressure parameter are in one-to-one correspondence, and the one-to-one correspondence of the first pressure parameter and the second pressure parameter is obtained by the same pressure sensor at different times.

[0138] Step S203: Based on the magnitude of the difference between the first set of relevant pressure parameters and the second set of relevant pressure parameters, predict abnormal faults in the engine air supply system in segments.

[0139] The segment is based on the detection point, and the category of abnormal fault changes with the magnitude of the difference.

[0140] This invention provides an electronic device, including: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include a method for predicting any type of engine air supply system anomaly.

[0141] This invention provides a processor for running a program, wherein the program executes a method for predicting abnormalities in the engine air supply system.

[0142] Specifically, methods for predicting engine air supply system anomalies include:

[0143] Step S201: Latch the first set of relevant pressure parameters when the engine operating condition changes from steady state to transient loading condition;

[0144] Among them, the steady-state condition is the condition in which the fluctuation of the relevant parameters of the engine air supply system is less than the preset fluctuation, and the transient loading condition is the condition in which the fuel injection quantity of the engine air supply system increases instantaneously.

[0145] Step S202: Obtain the second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition;

[0146] Among them, the first set of relevant pressure parameters and the second set of relevant pressure parameters are pressure parameters related to the operating load. The first set of relevant pressure parameters includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine air supply system, and the second set of relevant pressure parameters includes multiple second pressure parameters detected by multiple pressure sensors.

[0147] Specifically, any two pressure sensors correspond to different detection points, the first pressure parameter and the second pressure parameter are in one-to-one correspondence, and the one-to-one correspondence of the first pressure parameter and the second pressure parameter is obtained by the same pressure sensor at different times.

[0148] Step S203: Based on the magnitude of the difference between the first set of relevant pressure parameters and the second set of relevant pressure parameters, predict abnormal faults in the engine air supply system in segments.

[0149] The segment is based on the detection point, and the category of abnormal fault changes with the magnitude of the difference.

[0150] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs at least the following steps. The device described herein may be a server, PC, PAD, mobile phone, etc.

[0151] Specifically, methods for predicting engine air supply system anomalies include:

[0152] Step S201: Latch the first set of relevant pressure parameters when the engine operating condition changes from steady state to transient loading condition;

[0153] Among them, the steady-state condition is the condition in which the fluctuation of the relevant parameters of the engine air supply system is less than the preset fluctuation, and the transient loading condition is the condition in which the fuel injection quantity of the engine air supply system increases instantaneously.

[0154] Step S202: Obtain the second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition;

[0155] Among them, the first set of relevant pressure parameters and the second set of relevant pressure parameters are pressure parameters related to the operating load. The first set of relevant pressure parameters includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine air supply system, and the second set of relevant pressure parameters includes multiple second pressure parameters detected by multiple pressure sensors.

[0156] Specifically, any two pressure sensors correspond to different detection points, the first pressure parameter and the second pressure parameter are in one-to-one correspondence, and the one-to-one correspondence of the first pressure parameter and the second pressure parameter is obtained by the same pressure sensor at different times.

[0157] Step S203: Based on the magnitude of the difference between the first set of relevant pressure parameters and the second set of relevant pressure parameters, predict abnormal faults in the engine air supply system in segments.

[0158] The segment is based on the detection point, and the category of abnormal fault changes with the magnitude of the difference.

[0159] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having at least the following method steps:

[0160] Step S201: Latch the first set of relevant pressure parameters when the engine operating condition changes from steady state to transient loading condition;

[0161] Among them, the steady-state condition is the condition in which the fluctuation of the relevant parameters of the engine air supply system is less than the preset fluctuation, and the transient loading condition is the condition in which the fuel injection quantity of the engine air supply system increases instantaneously.

[0162] Step S202: Obtain the second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition;

[0163] Among them, the first set of relevant pressure parameters and the second set of relevant pressure parameters are pressure parameters related to the operating load. The first set of relevant pressure parameters includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine air supply system, and the second set of relevant pressure parameters includes multiple second pressure parameters detected by multiple pressure sensors.

[0164] Specifically, any two pressure sensors correspond to different detection points, the first pressure parameter and the second pressure parameter are in one-to-one correspondence, and the one-to-one correspondence of the first pressure parameter and the second pressure parameter is obtained by the same pressure sensor at different times.

[0165] Step S203: Based on the magnitude of the difference between the first set of relevant pressure parameters and the second set of relevant pressure parameters, predict abnormal faults in the engine air supply system in segments.

[0166] The segment is based on the detection point, and the category of abnormal fault changes with the magnitude of the difference.

[0167] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0168] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0169] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0170] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0171] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0172] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0173] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, like read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0174] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0175] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0176] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0177] 1) The engine air supply system anomaly prediction method of this application latches the first set of relevant pressure parameters when the engine operating condition switches from steady-state to transient loading condition, obtains the second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition, and then predicts abnormal faults in the engine air supply system in segments based on the magnitude of the difference between the first and second sets of relevant pressure parameters. This method considers the influence and change characteristics of steady-state and transient loading conditions on the relevant pressures of various components of the air supply system, takes into account the magnitude of the difference, and performs segmented fault pre-diagnosis of the air supply system, realizing rapid location and diagnosis of early-stage anomalies in the air supply system and improving the reliability of vehicle operation.

[0178] 2) The engine air supply system anomaly prediction device of this application includes a latching unit that latches the first set of relevant pressure parameters when the engine operating condition switches from steady-state to transient loading condition; an acquisition unit that acquires the second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition; and a segmented prediction unit that predicts abnormal faults in the engine air supply system segment by segment based on the magnitude of the difference between the first and second sets of relevant pressure parameters. This device considers the influence and change characteristics of steady-state and transient loading conditions on the relevant pressures of various components of the air supply system, taking into account the magnitude of the difference, and performs segmented fault pre-diagnosis of the air supply system. This enables rapid location and diagnosis of early-stage anomalies in the air supply system, improving the reliability of the entire vehicle operation.

[0179] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for predicting anomalies in an engine air supply system, characterized in that, include: The first set of relevant pressure parameters is latched when the engine operating condition changes from steady state to transient loading condition. The steady state condition is when the fluctuation of the relevant parameters of the engine air supply system is less than the preset fluctuation, and the transient loading condition is when the fuel injection quantity of the engine air supply system increases instantaneously. The second set of relevant pressure parameters is obtained within a preset time period after the engine air supply system enters the transient loading condition. The first set of relevant pressure parameters and the second set of relevant pressure parameters are pressure parameters related to the operating load. The first set of relevant pressure parameters includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine air supply system. The second set of relevant pressure parameters includes multiple second pressure parameters detected by multiple pressure sensors. The detection points corresponding to any two pressure sensors are different. The first pressure parameters and the second pressure parameters are in one-to-one correspondence. The one-to-one correspondence between the first pressure parameters and the second pressure parameters is obtained by the same pressure sensor at different times. Based on the magnitude of the difference between the first set of relevant pressure parameters and the second set of relevant pressure parameters, abnormal faults of the engine air supply system are predicted in segments, wherein the segments are divided based on the detection points, and the category of the abnormal fault changes with the magnitude of the difference.

2. The method according to claim 1, characterized in that, Before latching the first set of relevant pressure parameters when the engine operating condition switches from steady-state to transient loading condition, the method further includes: Determine whether the vehicle's gas supply system meets the first preset conditions, wherein the first preset conditions include: the remaining fuel amount in the vehicle's gas cylinder is greater than or equal to the preset fuel amount, the gas cylinder pressure is greater than or equal to the first preset pressure, the buffer tank pressure is greater than or equal to the second preset pressure, and there are currently no known gas supply system-related faults. Determine whether the relevant engine parameters meet the second preset conditions, wherein the second preset conditions include: engine speed is greater than preset speed, intake pressure is greater than third preset pressure, and rail gas pressure is greater than fourth preset pressure; Determine whether the engine operating condition is the transient loading condition; When the vehicle air supply system meets the first preset condition, the engine-related parameters meet the second preset condition, and the engine operating condition is the transient loading condition, the latching step is determined to be executed: the first set of related pressure parameters when the engine operating condition switches from steady-state condition to transient loading condition is latched.

3. The method according to claim 2, characterized in that, After determining whether the engine-related parameters meet the second preset condition, the method further includes: If the vehicle air supply system meets the first preset condition, but the engine-related parameters do not meet the second preset condition, it is determined that there is a fault of reduced air supply capacity in the air supply system.

4. The method according to claim 2, characterized in that, The method further includes: Before determining whether the vehicle's gas supply system meets the first preset condition, the following acquisition steps are performed: acquire the remaining fuel quantity in the vehicle's gas cylinder, the gas cylinder pressure, the buffer tank pressure, the engine speed, the intake pressure, and the gas rail gas pressure; If the vehicle air supply system does not meet the first preset condition, proceed to the acquisition step; If the engine operating condition is not the transient loading condition, proceed to the acquisition step.

5. The method according to claim 1, characterized in that, The detection points include a first detection point, a second detection point, and a third detection point. The cylinder pressure is measured at the first detection point, the buffer tank pressure is measured at the second detection point, and the gas rail pressure is measured at the third detection point. Based on the differences between the first set of relevant pressure parameters and the second set of relevant pressure parameters, abnormal faults in the engine's air supply system are predicted in segments, including: Obtain a first difference, a second difference, and a third difference. The first difference is the difference between the pressure of the first gas cylinder in the first group of relevant pressure parameters and the pressure of the second gas cylinder in the second group of relevant pressure parameters. The second difference is the difference between the pressure of the first buffer tank in the first group of relevant pressure parameters and the pressure of the second buffer tank in the second group of relevant pressure parameters. The third difference is the difference between the pressure of the first gas rail gas in the first group of relevant pressure parameters and the pressure of the second gas rail gas in the second group of relevant pressure parameters. If the first difference is greater than the first threshold, the abnormal fault of the engine air supply system is predicted to be an abnormal fault of the gas cylinder air supply. If the first difference is less than or equal to the first threshold and the second difference is greater than the second threshold, the abnormal fault of the engine air supply system is predicted to be an abnormal fault of the vaporization system, and the abnormal fault of the vaporization system includes faults of the vaporizer and buffer tank related components. If the first difference is less than or equal to the first threshold, the second difference is less than or equal to the second threshold, and the third difference is greater than the third threshold, the abnormal fault of the engine air supply system is predicted to be an abnormal fault of the air supply pipeline, and the abnormal fault of the air supply pipeline is a fault of related components on the air supply pipeline. If the first difference is less than or equal to the first threshold, the second difference is less than or equal to the second threshold, and the third difference is less than or equal to the third threshold, it is predicted that there is no abnormal fault in the engine air supply system.

6. The method according to claim 5, characterized in that, The method further includes: Construct a first preset association relationship, a second preset association relationship, a third preset association relationship, and a fourth preset association relationship, wherein the first preset association relationship is the association relationship between engine speed, intake pressure, and the preset time period; the second preset association relationship is the association relationship between engine speed, intake pressure, and the first threshold; the third preset association relationship is the association relationship between engine speed, intake pressure, and the second threshold; and the fourth preset association relationship is the association relationship between engine speed, intake pressure, and the third threshold. Based on the first preset association relationship, the engine speed and the intake pressure under the current operating conditions, the preset time period under the current operating conditions is determined; Based on the second preset correlation, the engine speed and the intake pressure under the current operating conditions, the first threshold under the current operating conditions is determined; Based on the third preset correlation, the engine speed and the intake pressure under the current operating conditions, the second threshold under the current operating conditions is determined; Based on the fourth preset correlation, the engine speed and the intake pressure under the current operating conditions, the third threshold under the current operating conditions is determined.

7. The method according to any one of claims 1 to 6, characterized in that, Acquire a second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition, including: Obtain the minimum value of multiple second group of related pressure parameters within the preset time period after the engine air supply system enters the transient loading condition.

8. A device for predicting abnormalities in an engine air supply system, characterized in that, include: The latching unit is used to latch the first set of relevant pressure parameters when the engine operating condition changes from steady-state condition to transient loading condition. The steady-state condition is the condition in which the fluctuation of the relevant parameters of the engine air supply system is less than the preset fluctuation, and the transient loading condition is the condition in which the fuel injection quantity of the engine air supply system increases instantaneously. The acquisition unit is used to acquire a second set of relevant pressure parameters within a preset time period after the engine air supply system enters the transient loading condition. The first set of relevant pressure parameters and the second set of relevant pressure parameters are pressure parameters related to the operating load. The first set of relevant pressure parameters includes multiple first pressure parameters detected by multiple pressure sensors installed in the engine air supply system. The second set of relevant pressure parameters includes multiple second pressure parameters detected by multiple pressure sensors. Any two pressure sensors correspond to different detection points. The first pressure parameters and the second pressure parameters are in one-to-one correspondence, and the one-to-one correspondence between the first pressure parameters and the second pressure parameters is obtained by the same pressure sensor at different times. The segmented prediction unit is used to predict abnormal faults in the engine air supply system in segments based on the magnitude of the difference between the first set of relevant pressure parameters and the second set of relevant pressure parameters. The segments are divided based on the detection points, and the category of the abnormal fault changes with the magnitude of the difference.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the engine air supply system anomaly prediction method according to any one of claims 1 to 7.

10. An electronic device, characterized in that, include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including a method for performing a prediction of an engine air supply system anomaly as described in any one of claims 1 to 7.

Images