High-pressure oil way OMV abnormal work identification method and device, diesel engine and medium

Abstract

The invention provides a high-pressure oil way OMV abnormal work recognition method and device, a diesel engine and a medium, and belongs to the technical field of engine fuel injection control. The method comprises the steps that the first rail pressure deviation of a first OMV in the working time period and the second rail pressure deviation of a second OMV in the working time period are determined based on a control item of a PID algorithm; and when the first rail pressure deviation is smaller than or equal to the deviation threshold value and the second rail pressure deviation is larger than the deviation threshold value, it is determined that the first OMV works abnormally. Whether the first OMV works abnormally or not is determined according to the first rail pressure deviation and the second rail pressure deviation, the working state of the OMV mechanical part in the normal state of the OMV driving circuit can be recognized, and the recognition accuracy of the working state of the OMV is improved.

Description

Technical Field

[0001] The invention relates to the technical field of engine fuel injection control, and in particular to a method and device for identifying abnormal operation of an OMV in a high-pressure oil circuit, a diesel engine and a medium. Background Art

[0002] The high-pressure common rail system is a set of fuel system control devices currently widely used in the field of diesel engine control. In the high-pressure common rail system, the high-pressure oil pump is an important component of the system. The high-pressure oil pump mainly provides power for the system and increases the low-pressure fuel to high-pressure fuel. At present, the oil volume control of the high-pressure oil pump is determined and controlled by the oil metering valve (Oil Meter Valve, OMV). Once the OMV works abnormally, the high-pressure common rail system will not work efficiently. Therefore, accurate detection of OMV abnormality is crucial.

[0003] The existing methods for identifying abnormal working of OMVs are mainly to determine whether there are electrical abnormalities such as short circuits and open circuits in the OMV drive circuits by detecting the resistance and voltage of the OMV drive circuits. However, the above methods have the following technical problems: they can only identify whether there are electrical faults in the OMV drive circuits, but cannot identify whether the mechanical parts of the OMVs are working normally when the circuits are normal.

[0004] Therefore, there is an urgent need to provide a method, device, diesel engine and medium for identifying abnormal operation of the OMV in the high-pressure oil circuit, which are used to identify the working state of the OMV when the line is normal, and to accurately identify the working state of the OMV. Summary of the invention

[0005] In view of this, it is necessary to provide a method, device, diesel engine and medium for identifying abnormal operation of the OMV in the high-pressure oil circuit, so as to solve the technical problem that the prior art can only identify whether there is an electrical fault in the OMV drive circuit, but cannot identify whether the OMV mechanical part is working normally when the circuit is normal, resulting in inaccurate identification of the OMV working status.

[0006] On the one hand, in order to solve the above technical problems, the present invention provides a method for identifying abnormal operation of an OMV in a high-pressure oil circuit, wherein the high-pressure oil circuit includes a plurality of high-pressure oil pumps and a plurality of OMVs for controlling the oil pumping amount of the high-pressure oil pumps, wherein the OMVs are controlled in real time by a PID algorithm, and the plurality of OMVs include a first OMV and a second OMV that work sequentially, and the method includes: Determining a first rail pressure deviation of the first OMV during a working time period and a second rail pressure deviation of the second OMV during the working time period based on a control item of a PID algorithm; When the first rail pressure deviation is less than or equal to a deviation threshold, and the second rail pressure deviation is greater than a deviation threshold, it is determined that the first OMV operates abnormally.

[0007] In a possible implementation, the control item based on the PID algorithm determines the first rail pressure deviation of the first OMV and the second rail pressure deviation of the second OMV, including: Obtaining a first proportional term of a PID algorithm for controlling the first OMV during the working time period and a second proportional term of a PID algorithm for controlling the second OMV during the working time period; The first proportional term is used as the first rail pressure deviation, and the second proportional term is used as the second rail pressure deviation.

[0008] In a possible implementation, the working time period includes a plurality of working time points; obtaining a first proportional term of a PID algorithm for controlling the first OMV within the working time period includes: Acquire a plurality of real-time first proportional terms of a PID algorithm for controlling the first OMV at the plurality of working time points; A first average of the multiple real-time first proportional items is determined, and the first average is used as the first proportional item.

[0009] In a possible implementation, after the control item based on the PID algorithm determines a first rail pressure deviation of the first OMV in a working time period and a second rail pressure deviation of the second OMV in a working time period, the method further includes: The control item based on the PID algorithm determines a first pump oil volume of the first OMV during the working time period and a second pump oil volume of the second OMV during the working time period; determining whether the first pump oil level and the second pump oil level are both greater than a threshold oil level; When the first rail pressure deviation is less than or equal to a deviation threshold, and the second rail pressure deviation is greater than a deviation threshold, determining that the first OMV is operating abnormally includes: When the first pump oil volume and the second pump oil volume are both greater than a threshold oil volume, determining whether the first rail pressure deviation and the second rail pressure deviation are less than or equal to a deviation threshold; When the first rail pressure deviation is less than or equal to a deviation threshold, and the second rail pressure deviation is greater than a deviation threshold, it is determined that the first OMV operates abnormally.

[0010] In a possible implementation, the control item based on the PID algorithm determines a first pump oil volume of the first OMV during a working period and a second pump oil volume of the second OMV during a working period, including: Obtaining a first proportional-integral sum of a PID algorithm for controlling the first OMV during the working time period and a second proportional-integral sum of a PID algorithm for controlling the second OMV during the working time period; The first proportional integral sum is used as the first pump oil volume, and the second proportional integral sum is used as the second pump oil volume.

[0011] In a possible implementation, the working time period includes a plurality of working time points; obtaining a first proportional integral sum of a PID algorithm for controlling the first OMV in the working time period includes: Acquire a plurality of real-time first proportional terms and a plurality of real-time first integral terms of a PID algorithm for controlling the first OMV at the plurality of working time points; determining a plurality of real-time proportional-integral sums based on the plurality of real-time first proportional terms and the plurality of real-time first integral terms; A second average of the plurality of real-time proportional-integral sums is determined, and the second average is used as the first proportional-integral sum.

[0012] In a possible implementation, the deviation threshold is 10 bar, and the threshold oil amount is 40 mg.

[0013] On the other hand, the present invention also provides a device for identifying abnormal operation of an OMV in a high-pressure oil circuit, wherein the high-pressure oil circuit includes a plurality of high-pressure oil pumps and a plurality of OMVs for controlling the oil pumping amount of the high-pressure oil pumps, wherein the OMVs are controlled in real time by a PID algorithm, and wherein the plurality of OMVs include a first OMV and a second OMV that work in sequence, and wherein the device includes: a rail pressure deviation determining unit, configured to determine a first rail pressure deviation of the first OMV during a working period and a second rail pressure deviation of the second OMV during a working period based on a control item of a PID algorithm; The operation abnormality identification unit is used to determine that the first OMV is operating abnormally when the first rail pressure deviation is less than or equal to a deviation threshold and the second rail pressure deviation is greater than the deviation threshold.

[0014] On the other hand, the present invention further provides a diesel engine, comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the method for identifying abnormal operation of the high-pressure oil circuit OMV described in any one of the possible implementations above.

[0015] On the other hand, the present invention also provides a computer-readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps in the method for identifying abnormal operation of the high-pressure oil circuit OMV described in any one of the above possible implementation methods are implemented.

[0016] The beneficial effects of the present invention are as follows: the method for identifying abnormal operation of the OMV in the high-pressure oil circuit provided by the present invention determines the first rail pressure deviation of the first OMV in the working time period and the second rail pressure deviation of the second OMV in the working time period based on the control items of the PID algorithm, and can determine whether the operation of the first OMV is abnormal according to the first rail pressure deviation and the second rail pressure deviation, and can identify the working state of the OMV mechanical part when the OMV drive circuit is in a normal state, thereby improving the accuracy of identifying the working state of the OMV.

[0017] Furthermore, the present invention only needs control items based on the PID algorithm to identify abnormal working conditions of the OMV. The identification method is simple and does not require additional detection hardware. The efficiency of identifying the working conditions of the OMV is improved while reducing the identification cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 A schematic flow chart of an embodiment of a method for identifying abnormal operation of an OMV in a high-pressure oil circuit provided by the present invention; Figure 2 A schematic diagram of a working process of a fuel system provided by the present invention; Figure 3 For the present invention Figure 1 A schematic flow chart of an embodiment of step S101; Figure 4 For the present invention Figure 3 A schematic diagram of an embodiment of a flow chart of obtaining a first proportional term in step S301; Figure 5 A schematic diagram of a flow chart of an embodiment of the present invention for determining whether the oil level of a pump is normal; Figure 6 For the present invention Figure 5 A schematic flow chart of an embodiment of step S501; Figure 7 For the present invention Figure 6 A schematic flow chart of an embodiment of determining the first proportional integral sum in step S601; Figure 8 A schematic diagram of a specific embodiment of the OMV working abnormality identification provided by the present invention; Fig. 9 A schematic diagram of the principle of identifying abnormal OMV operation provided by the present invention; Fig.10A schematic diagram of the structure of an embodiment of a device for identifying abnormal operation of an OMV in a high-pressure oil circuit provided by the present invention; Fig.11 A schematic structural diagram of an embodiment of a diesel engine provided by the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0021] It should be understood that the schematic drawings are not drawn to scale. The flowchart used in the present invention shows the operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flowchart can be implemented out of order, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art, under the guidance of the content of the present invention, can add one or more other operations to the flowchart, and can also remove one or more operations from the flowchart. Some of the block diagrams shown in the accompanying drawings are functional entities, which do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[0022] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0023] The present invention provides a method and device for identifying abnormal operation of an OMV in a high-pressure oil circuit, a diesel engine and a medium, which are described below respectively.

[0024] In some embodiments of the present invention, the high-pressure oil circuit includes a plurality of high-pressure oil pumps and a plurality of OMVs for controlling the oil pumping amount of the high-pressure oil pumps. The OMVs are controlled in real time by a PID algorithm. The plurality of OMVs include a first OMV and a second OMV that work in sequence. Figure 1 As shown, the method for identifying abnormal operation of the high-pressure oil circuit OMV includes: S101, determining a first rail pressure deviation of a first OMV in a working time period and a second rail pressure deviation of a second OMV in a working time period based on a control item of a PID algorithm; S102 : When the first rail pressure deviation is less than or equal to the deviation threshold, and the second rail pressure deviation is greater than the deviation threshold, it is determined that the first OMV is operating abnormally.

[0025] The working time period in step S101 refers to a single working time of an OMV.

[0026] The above description is only based on the example that the OMV includes the first OMV and the second OMV. In a specific embodiment, Figure 2 As shown in the figure, the fuel system includes 6 cylinders numbered 1-6. When the engine is working normally, each cylinder of the engine injects fuel in the order of 1-5-3-6-2-4. At the same time, there is a high-pressure oil pump on the upper part of the injector of cylinders 2, 4, and 6, which pumps oil into the high-pressure oil rail in the order of 2-4-6-2-4-6. The amount of oil pumped is controlled by the fuel metering valve (Oil Meter Valve, OMV) of each high-pressure oil pump to maintain the rail pressure of the high-pressure oil rail stable. OMV is controlled in real time by the engine ECU through the PID algorithm.

[0027] The OMV working state corresponding to the high-pressure oil pump numbered 2 can be determined by the PID algorithm control items corresponding to the high-pressure oil pumps numbered 2 and 4, the OMV working state corresponding to the high-pressure oil pump numbered 4 can be determined by the PID algorithm control items corresponding to the high-pressure oil pumps numbered 4 and 6, and the OMV working state corresponding to the high-pressure oil pump numbered 6 can be determined by the PID algorithm control items corresponding to the high-pressure oil pumps numbered 6 and 2.

[0028] Specifically, Figure 2 The dt in it is the working time period.

[0029] Compared with the prior art, the method for identifying abnormal operation of the high-pressure oil circuit OMV provided in the embodiment of the present invention determines the first rail pressure deviation of the first OMV within the working time period and the second rail pressure deviation of the second OMV within the working time period based on the control item of the PID algorithm, that is, whether the operation of the first OMV is abnormal can be determined according to the first rail pressure deviation and the second rail pressure deviation, and the working state of the OMV mechanical part when the OMV drive circuit is in a normal state can be identified, thereby improving the accuracy of identifying the working state of the OMV.

[0030] Furthermore, the embodiment of the present invention only needs control items based on the PID algorithm to identify abnormalities in the working state of the OMV. The identification method is simple and does not require additional detection hardware, thereby improving the efficiency of identifying the working state of the OMV and reducing the identification cost.

[0031] In some embodiments of the present invention, Figure 3 As shown, step S101 includes: S301, obtaining a first proportional term of a PID algorithm for controlling a first OMV during a working period and a second proportional term of a PID algorithm for controlling a second OMV during a working period; S302: Taking the first proportional term as the first rail pressure deviation, and taking the second proportional term as the second rail pressure deviation.

[0032] Since the control target of the PID algorithm for OMV control is the rail pressure deviation, the proportional term (P term) in the PID algorithm represents the rail pressure deviation. The embodiment of the present invention can determine the first rail pressure deviation and the second rail pressure deviation by acquiring the first proportional term of the PID algorithm of the first OMV and the second proportional term of the PID algorithm for controlling the second OMV during the working time period. The method is simple and efficient.

[0033] Since the working time period includes multiple working time points, in order to improve the accuracy of the determined first rail pressure deviation, in some embodiments of the present invention, for example Figure 4 As shown, the first proportional term of the PID algorithm for controlling the first OMV during the working time period in step S301 includes: S401, obtaining multiple real-time first proportional terms of a PID algorithm for controlling a first OMV at multiple working time points; S402: Determine a first average value of a plurality of real-time first proportional items, and use the first average value as the first proportional item.

[0034] The embodiment of the present invention obtains multiple real-time first proportional items corresponding to multiple working time points, and takes the average of the multiple real-time first proportional items as the first proportional item, so as to ensure that the first proportional item reflects the average level of the first OMV during the working time period, and reduce the influence of the fluctuation of a single working time point on the first rail pressure deviation, thereby ensuring the accuracy of the determined first rail pressure deviation, and further improving the accuracy of identifying the abnormal state of the OMV.

[0035] It should be noted that the determination process of the second proportional term in step S301 is the same as the determination process of the first proportional term, which is to first obtain multiple real-time second proportional terms of the PID algorithm of the second OMV at multiple working time points, and take the average of the multiple second real-time proportional terms as the second proportional term.

[0036] In actual application scenarios, faults such as leakage in the high-pressure system can also cause low rail pressure. That is, identifying OMV operating abnormalities only through the first rail pressure deviation and the second rail pressure deviation cannot accurately determine whether it is caused by leakage in the high-pressure system or abnormal operation of the OMV itself.

[0037] In order to solve this technical problem, in some embodiments of the present invention, Figure 5 As shown, before step S102, it also includes: S501, determining a first pump oil volume of a first OMV in a working time period and a second pump oil volume of a second OMV in a working time period based on a control item of a PID algorithm; S502: Determine whether the oil levels of the first pump and the second pump are both greater than a threshold oil level.

[0038] Then step S102 includes: When the first pump oil volume and the second pump oil volume are both greater than a threshold oil volume, determining whether the first rail pressure deviation and the second rail pressure deviation are less than or equal to a deviation threshold; When the first rail pressure deviation is less than or equal to the deviation threshold, and the second rail pressure deviation is greater than the deviation threshold, it is determined that the first OMV operates abnormally.

[0039] The embodiment of the present invention ensures that the oil volume of the first pump and the oil volume of the second pump are greater than the threshold oil volume before judging the first rail pressure deviation and the second rail pressure deviation, so as to eliminate the influence of faults such as leakage of the high-pressure system and realize accurate judgment of the abnormal operation of the OMV itself.

[0040] Furthermore, the embodiment of the present invention can also determine the oil volume of the first pump and the oil volume of the second pump only based on the control item of the PID algorithm, and the determination method is simple and fast.

[0041] In some embodiments of the present invention, Figure 6 As shown, step S501 includes: S601, obtaining a first proportional integral sum of a PID algorithm for controlling a first OMV during a working period and a second proportional integral sum of a PID algorithm for controlling a second OMV during a working period; S602: The first proportional integral sum is used as the first pump oil volume, and the second proportional integral sum is used as the second pump oil volume.

[0042] The first proportional integral sum (Pi) is the sum of the first proportional (P) term and the first integral term (i), and the second proportional integral sum is the sum of the second proportional term and the second integral term.

[0043] Similarly, the working time period includes multiple working time points. To ensure the accuracy of the first proportional integral sum, in some embodiments of the present invention, Figure 7 As shown, the first proportional integral sum of the PID algorithm for controlling the first OMV in the working time period in step S601 includes: S701, obtaining a plurality of real-time first proportional terms and a plurality of real-time first integral terms of a PID algorithm for controlling a first OMV at a plurality of working time points; S702, determining a plurality of real-time proportional integral sums based on a plurality of real-time first proportional terms and a plurality of real-time first integral terms; S703: Determine a second mean value of the multiple real-time proportional integral sums, and use the second mean value as the first proportional integral sum.

[0044] The embodiment of the present invention obtains multiple real-time first proportional items and multiple real-time first integral items corresponding to multiple working time points, and determines multiple real-time proportional integral sums based on the multiple real-time first proportional items and multiple real-time first integral items, and uses the average of the multiple real-time proportional integral sums as the first proportional integral sum. This can ensure that the first proportional integral sum reflects the average level of the first OMV during the working time period, reduce the impact of fluctuations at a single working time point on the oil volume of the first pump, thereby ensuring the accuracy of the determined oil volume of the first pump, and further improving the accuracy of identifying abnormal conditions of the OMV.

[0045] Similarly, the second proportional integral sum should also be the average of the real-time proportional integral sums at multiple time points to ensure the accuracy of the second pump oil volume.

[0046] It should be understood that the deviation threshold and the threshold oil quantity should be calibrated according to the actual application scenario. In a specific embodiment of the present invention, the deviation threshold is 10 bar and the threshold oil quantity is 40 mg.

[0047] In a specific embodiment of the present invention, if Figure 2 Taking the fuel system of as an example, the abnormal operation identification process of each OMV is as follows: obtain the proportional item mean and proportional integral and mean of OMVs numbered 2, 4, and 6, which are respectively expressed as: 2#Pi item mean, 2#P item mean, 4#Pi item mean, 4#P item mean, 6#Pi item mean, 6#P item mean, then Figure 8 As shown, When the mean value of 2#Pi item>40mg, the mean value of 2#P item≤10bar, the mean value of 4#Pi item>40mg, the mean value of 4#P item≤10bar, the mean value of 6#Pi item>40mg, the mean value of 6#P item≤10bar, all OMVs work normally; When the mean value of 2#Pi item>40mg, the mean value of 2#P item≤10bar, the mean value of 4#Pi item>40mg, the mean value of 4#P item>10bar, OMV No. 2 is working abnormally; When the mean value of 4#Pi item>40mg, the mean value of 4#P item≤10bar, the mean value of 6#Pi item>40mg, the mean value of 6#P item>10bar, OMV No. 4 works abnormally; When the average value of item 6#Pi is >40mg, the average value of item 6#P is ≤10bar, the average value of item 2#Pi is >40mg, and the average value of item 2#P is >10bar, OMV No. 6 is working abnormally.

[0048] Among them, the principle of identifying abnormal working conditions through the above two parameters is as follows: Fig. 9As shown in the figure, if OMV No. 4 is working abnormally, then during the operation of OMV No. 4, injector No. 5 or No. 2 is injecting fuel, and the rail pressure is significantly lower after the injection is completed. The rail pressure does not change significantly before the injection is completed, so the PID parameters are not significantly changed from normal operation, and are still "the average value of item 4#Pi is greater than 40mg and the average value of item 4#P is less than or equal to 10bar". After the injection is completed, the rail pressure is significantly lower, and it is the turn of OMV No. 6 to work, so "the average value of item 6#Pi is greater than 40mg and the average value of item 6#P is greater than 10bar".

[0049] In order to better implement the method for identifying abnormal operation of the OMV of the high-pressure oil circuit in the embodiment of the present invention, based on the method for identifying abnormal operation of the OMV of the high-pressure oil circuit, the embodiment of the present invention also provides a device for identifying abnormal operation of the OMV of the high-pressure oil circuit, wherein the high-pressure oil circuit includes a plurality of high-pressure oil pumps and a plurality of OMVs for controlling the oil pumping amount of the high-pressure oil pumps, the OMVs are controlled in real time by a PID algorithm, and the plurality of OMVs include a first OMV and a second OMV that work in sequence, such as Fig.10 As shown, the high-pressure oil circuit OMV abnormal operation identification device 1000 includes: A rail pressure deviation determining unit 1001 is used to determine a first rail pressure deviation of a first OMV in a working time period and a second rail pressure deviation of a second OMV in a working time period based on a control item of a PID algorithm; The operation abnormality identification unit 1002 is used to determine that the first OMV is operating abnormally when the first rail pressure deviation is less than or equal to the deviation threshold and the second rail pressure deviation is greater than the deviation threshold.

[0050] It should be noted that the high-pressure oil circuit OMV abnormal operation identification device 1000 provided in the above embodiment can implement the technical solution described in the above embodiment of the high-pressure oil circuit OMV abnormal operation identification method. The specific implementation principles or specific implementation details of the above modules or units can refer to the corresponding contents in the above embodiment of the high-pressure oil circuit OMV abnormal operation identification method, which will not be described one by one here.

[0051] like Fig.11 As shown, the present invention also provides a diesel engine 1100. The diesel engine 1100 includes a processor 1101, a memory 1102 and a display 1103. Fig.11 Only some of the components of the diesel engine 1100 are shown, but it should be understood that implementation of all of the components shown is not required, and more or fewer components may be implemented instead.

[0052] In some embodiments, the processor 1101 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 1102, such as the high-pressure oil circuit OMV abnormal operation identification method of the present invention.

[0053] In some embodiments of the present invention, the processor 1101 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processor 1101 may be local or remote. In some embodiments, the processor 1101 may be implemented in a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0054] In some embodiments, the memory 1102 may be an internal storage unit of the diesel engine 1100 , such as a hard disk or a memory of the diesel engine 1100 .

[0055] Furthermore, the memory 1102 may include both an internal storage unit of the diesel engine 1100 and an external storage device. The memory 1102 is used to store application software installed in the diesel engine 1100 and various data.

[0056] In some embodiments, the display 1103 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 1103 is used to display information of the diesel engine 1100 and to display a visual user interface. The components 1101-1103 of the diesel engine 1100 communicate with each other via a system bus.

[0057] In some embodiments of the present invention, when the processor 1101 executes the high-pressure oil circuit OMV abnormal operation identification program in the memory 1102, the following steps may be implemented: Determining a first rail pressure deviation of the first OMV during a working time period and a second rail pressure deviation of the second OMV during a working time period based on a control item of a PID algorithm; When the first rail pressure deviation is less than or equal to the deviation threshold, and the second rail pressure deviation is greater than the deviation threshold, it is determined that the first OMV operates abnormally.

[0058] It should be understood that: when the processor 1101 executes the high-pressure oil circuit OMV abnormal operation identification program in the memory 1102, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0059] Correspondingly, an embodiment of the present invention also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, it can implement the steps or functions of the high-pressure oil circuit OMV abnormal operation identification method provided in the above-mentioned method embodiments.

[0060] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0061] The above is a detailed introduction to a method, device, diesel engine and medium for identifying abnormal operation of the high-pressure oil circuit OMV provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for identifying abnormal operation of OMV in a high-pressure oil circuit, characterized in that: The high-pressure oil circuit includes a plurality of high-pressure oil pumps and a plurality of OMVs for controlling the oil pumping amount of the high-pressure oil pumps, the OMVs are controlled in real time by a PID algorithm, the plurality of OMVs include a first OMV and a second OMV working in sequence, and the method includes: Determining a first rail pressure deviation of the first OMV during a working time period and a second rail pressure deviation of the second OMV during the working time period based on a control item of a PID algorithm; When the first rail pressure deviation is less than or equal to a deviation threshold, and the second rail pressure deviation is greater than a deviation threshold, it is determined that the first OMV operates abnormally.

2. The method for identifying abnormal operation of the high-pressure oil circuit OMV according to claim 1 is characterized in that: The control item based on the PID algorithm determines a first rail pressure deviation of the first OMV and a second rail pressure deviation of the second OMV, including: Obtaining a first proportional term of a PID algorithm for controlling the first OMV during the working time period and a second proportional term of a PID algorithm for controlling the second OMV during the working time period; The first proportional term is used as the first rail pressure deviation, and the second proportional term is used as the second rail pressure deviation.

3. The method for identifying abnormal operation of the high-pressure oil circuit OMV according to claim 2 is characterized in that: The working time period includes a plurality of working time points; obtaining a first proportional term of a PID algorithm for controlling the first OMV within the working time period includes: Acquire a plurality of real-time first proportional terms of a PID algorithm for controlling the first OMV at the plurality of working time points; A first average of the multiple real-time first proportional items is determined, and the first average is used as the first proportional item.

4. The method for identifying abnormal operation of the high-pressure oil circuit OMV according to claim 1 is characterized in that: After the control item based on the PID algorithm determines a first rail pressure deviation of the first OMV in a working time period and a second rail pressure deviation of the second OMV in a working time period, the method further includes: The control item based on the PID algorithm determines a first pump oil volume of the first OMV during the working time period and a second pump oil volume of the second OMV during the working time period; determining whether the first pump oil level and the second pump oil level are both greater than a threshold oil level; When the first rail pressure deviation is less than or equal to a deviation threshold, and the second rail pressure deviation is greater than a deviation threshold, determining that the first OMV is operating abnormally includes: When the first pump oil volume and the second pump oil volume are both greater than a threshold oil volume, determining whether the first rail pressure deviation and the second rail pressure deviation are less than or equal to a deviation threshold; When the first rail pressure deviation is less than or equal to a deviation threshold, and the second rail pressure deviation is greater than a deviation threshold, it is determined that the first OMV operates abnormally.

5. The method for identifying abnormal operation of the high-pressure oil circuit OMV according to claim 4 is characterized in that: The control item based on the PID algorithm determines a first pump oil volume of the first OMV during a working period and a second pump oil volume of the second OMV during a working period, including: Obtaining a first proportional-integral sum of a PID algorithm for controlling the first OMV during the working time period and a second proportional-integral sum of a PID algorithm for controlling the second OMV during the working time period; The first proportional integral sum is used as the first pump oil volume, and the second proportional integral sum is used as the second pump oil volume.

6. The method for identifying abnormal operation of the high-pressure oil circuit OMV according to claim 5 is characterized in that: The working time period includes a plurality of working time points; obtaining a first proportional integral sum of a PID algorithm for controlling the first OMV within the working time period includes: Acquire a plurality of real-time first proportional terms and a plurality of real-time first integral terms of a PID algorithm for controlling the first OMV at the plurality of working time points; determining a plurality of real-time proportional-integral sums based on the plurality of real-time first proportional terms and the plurality of real-time first integral terms; A second average of the plurality of real-time proportional-integral sums is determined, and the second average is used as the first proportional-integral sum.

7. The method for identifying abnormal operation of the high-pressure oil circuit OMV according to claim 4 is characterized in that: The deviation threshold is 10 bar, and the threshold oil amount is 40 mg.

8. A device for identifying abnormal operation of OMV in a high-pressure oil circuit, characterized in that: The high-pressure oil circuit includes a plurality of high-pressure oil pumps and a plurality of OMVs for controlling the oil pumping amount of the high-pressure oil pumps, the OMVs are controlled in real time by a PID algorithm, the plurality of OMVs include a first OMV and a second OMV working in sequence, and the device includes: a rail pressure deviation determining unit, configured to determine a first rail pressure deviation of the first OMV during a working period and a second rail pressure deviation of the second OMV during a working period based on a control item of a PID algorithm; The operation abnormality identification unit is used to determine that the first OMV is operating abnormally when the first rail pressure deviation is less than or equal to a deviation threshold and the second rail pressure deviation is greater than the deviation threshold.

9. A diesel engine, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the method for identifying abnormal operation of the high-pressure oil circuit OMV as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the method for identifying abnormal operation of the high-pressure oil circuit OMV described in any one of claims 1 to 7 are implemented.

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