High-pressure oil circuit OMV abnormal operation identification method, device, diesel engine and medium

Abstract

The present invention provides a method, device, diesel engine, and medium for identifying abnormal operation of a high-pressure oil circuit (OMV). These methods belong to the field of engine fuel injection control technology. The method includes: determining a first rail pressure deviation of a first OMV during an operating period and a second rail pressure deviation of a second OMV during an operating period based on a PID algorithm control item; determining 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. By determining whether the first OMV is operating abnormally based on the first and second rail pressure deviations, the present invention can identify the operating status of the OMV's mechanical components when the OMV drive circuit is in normal condition, thereby improving the accuracy of identifying the OMV's operating status.

Description

Technical Field

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

[0002] The high-pressure common rail system is a fuel system control device widely used in diesel engine control. The high-pressure fuel pump is a crucial component in this system, providing the system with power and boosting low-pressure fuel to high-pressure fuel. Currently, the fuel flow rate of the high-pressure fuel pump is determined and controlled by the oil metering valve (OMV). Any malfunctioning OMV can lead to inefficient common rail system operation, making accurate detection of OMV malfunction crucial.

[0003] Existing methods for identifying OMV operating anomalies primarily rely on detecting electrical anomalies such as short circuits or open circuits by measuring the resistance and voltage of the OMV drive circuit. However, these methods suffer from the following technical issues: they can only identify electrical faults in the OMV drive circuit; they cannot determine whether the OMV mechanical components are functioning properly when the circuit is operating normally.

[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 can be used to identify the working status of the OMV when the line is normal and accurately identify the working status 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 high-pressure oil circuit OMV, so as to solve the technical problem in the prior art that it 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 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. The high-pressure oil circuit includes multiple high-pressure oil pumps and multiple OMVs that control the oil pumping amount of the high-pressure oil pumps. The OMVs are controlled in real time by a PID algorithm. The multiple OMVs include a first OMV and a second OMV that operate sequentially. The method includes:

[0007] determining a first rail pressure deviation of the first OMV during an operating time period and a second rail pressure deviation of the second OMV during the operating time period based on a control item of a PID algorithm;

[0008] 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 is operating abnormally.

[0009] In a possible implementation, the PID algorithm-based control item determines the first rail pressure deviation of the first OMV and the second rail pressure deviation of the second OMV, including:

[0010] 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;

[0011] 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.

[0012] 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 during the working time period includes:

[0013] Obtaining a plurality of real-time first proportional terms of a PID algorithm for controlling the first OMV at the plurality of operating time points;

[0014] A first average of the multiple real-time first proportional items is determined, and the first average is used as the first proportional item.

[0015] In a possible implementation, after the PID algorithm-based control item determines 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, the method further includes:

[0016] Determining a first pump oil volume of the first OMV during an operating period and a second pump oil volume of the second OMV during an operating period based on a control item of a PID algorithm;

[0017] determining whether both the first pump oil level and the second pump oil level are greater than a threshold oil level;

[0018] 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:

[0019] 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;

[0020] 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 is operating abnormally.

[0021] In one possible implementation, the PID algorithm-based control item 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:

[0022] 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;

[0023] The first proportional integral sum is used as the first pump oil quantity, and the second proportional integral sum is used as the second pump oil quantity.

[0024] 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 during the working time period includes:

[0025] Obtaining 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 operating time points;

[0026] 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;

[0027] 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.

[0028] In a possible implementation, the deviation threshold is 10 bar, and the threshold oil amount is 40 mg.

[0029] 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 the plurality of OMVs include a first OMV and a second OMV that operate sequentially. The device comprises:

[0030] 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;

[0031] The operation abnormality identification unit is configured 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.

[0032] On the other hand, the present invention also provides a diesel engine, comprising a memory and a processor, wherein:

[0033] The memory is used to store programs;

[0034] The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps of the method for identifying abnormal operation of the high-pressure oil circuit OMV described in any one of the possible implementations above.

[0035] 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.

[0036] The beneficial effects of the present invention are as follows: the method for identifying abnormal operation of the high-pressure oil circuit OMV provided by 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. Whether the first OMV is operating abnormally can be determined based on the first rail pressure deviation and the second rail pressure deviation. 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.

[0037] Furthermore, the present invention only requires control items based on the PID algorithm to identify abnormalities in the working status of the OMV. The identification method is simple and does not require additional detection hardware. This improves the efficiency of identifying the working status of the OMV while reducing the identification cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] 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.

[0039] Figure 1 A flow chart of an embodiment of a method for identifying abnormal operation of the high-pressure oil circuit OMV provided by the present invention;

[0040] Figure 2 A schematic diagram of a working process of the fuel system provided by the present invention;

[0041] Figure 3 For the present invention Figure 1 A schematic flow chart of an embodiment of step S101;

[0042] Figure 4 For the present invention Figure 3 A schematic flow chart of an embodiment of obtaining the first proportional term in step S301;

[0043] Figure 5 A schematic diagram of a flow chart of an embodiment of the present invention for determining whether the oil level in a pump is normal;

[0044] Figure 6 For the present invention Figure 5 A schematic flow chart of an embodiment of step S501;

[0045] 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;

[0046] Figure 8 A schematic diagram of a specific embodiment of the OMV abnormality identification provided by the present invention;

[0047] Figure 9 A schematic diagram of the principle of identifying abnormal OMV operation provided by the present invention;

[0048] Figure 10 A schematic structural diagram of an embodiment of a device for identifying abnormal operation of an OMV in a high-pressure oil circuit provided by the present invention;

[0049] Figure 11 This is a schematic structural diagram of an embodiment of a diesel engine provided by the present invention. DETAILED DESCRIPTION

[0050] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. 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.

[0051] It should be understood that the schematic drawings are not drawn to scale. The flowcharts used in the present invention illustrate operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flowcharts can be implemented out of sequence, and steps that have no logical contextual relationship can be reversed in order or implemented simultaneously. In addition, those skilled in the art, guided by the content of the present invention, can add one or more other operations to the flowcharts or remove one or more operations from the flowcharts. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[0052] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0053] 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.

[0054] In some embodiments of the present invention, the high-pressure oil circuit includes multiple high-pressure oil pumps and multiple OMVs that control the oil pumping amount of the high-pressure oil pumps. The OMVs are controlled in real time by a PID algorithm. The multiple OMVs include a first OMV and a second OMV that work in sequence, such as Figure 1 As shown, the method for identifying abnormal operation of the high-pressure oil circuit OMV includes:

[0055] S101, determining a first rail pressure deviation of a first OMV during a working period and a second rail pressure deviation of a second OMV during a working period based on a control item of a PID algorithm;

[0056] 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, determine that the first OMV is operating abnormally.

[0057] The working time period in step S101 refers to a single working time of an OMV.

[0058] The above description is 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 six cylinders numbered 1-6. During normal engine operation, fuel is injected into the cylinders in the order 1-5-3-6-2-4. Simultaneously, a high-pressure fuel pump, located above the injectors in cylinders 2, 4, and 6, pumps fuel into the high-pressure fuel rail in the order 2-4-6-2-4-6. The amount of fuel pumped is controlled by the fuel metering valve (OMV) in each high-pressure fuel pump to maintain a stable high-pressure rail pressure. The OMV is controlled in real time by the engine ECU using a PID algorithm.

[0059] 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.

[0060] Specifically, Figure 2 The dt in it is the working time period.

[0061] 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 during the operating time period and the second rail pressure deviation of the second OMV during the operating time period based on the control item of the PID algorithm. Therefore, it can be determined whether the first OMV is operating abnormally based on the first rail pressure deviation and the second rail pressure deviation. The operating 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 OMV operating state.

[0062] Furthermore, the embodiment of the present invention only needs control items based on the PID algorithm to identify abnormalities in the working status of the OMV. The identification method is simple and does not require additional detection hardware, thereby improving the efficiency of identifying the working status of the OMV while reducing the identification cost.

[0063] In some embodiments of the present invention, Figure 3 As shown, step S101 includes:

[0064] 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;

[0065] S302: Use the first proportional term as a first rail pressure deviation, and use the second proportional term as a second rail pressure deviation.

[0066] Because 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. This embodiment of the present invention determines the first and second rail pressure deviations by obtaining the first proportional term of the PID algorithm for the first OMV and the second proportional term of the PID algorithm for controlling the second OMV during the operating time period. This is a simple and efficient method.

[0067] 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, obtaining the first proportional term of the PID algorithm for controlling the first OMV during the working time period in step S301 includes:

[0068] S401, obtaining multiple real-time first proportional terms of a PID algorithm for controlling a first OMV at multiple working time points;

[0069] S402: Determine a first average of multiple real-time first proportional items, and use the first average as the first proportional item.

[0070] The embodiment of the present invention obtains multiple real-time first proportional items corresponding to multiple working time points and uses the average of the multiple real-time first proportional items as the first proportional item. This ensures that the first proportional item reflects the average level of the first OMV during the working time period, reduces the impact of fluctuations at 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 abnormal OMV conditions.

[0071] It should be noted that the process of determining the second proportional term in step S301 is the same as the process of determining 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.

[0072] In actual application scenarios, faults such as high-pressure system leakage can also cause low rail pressure. That is, identifying OMV operating abnormalities only through the first and second rail pressure deviations cannot accurately determine whether the cause is a high-pressure system leakage or an OMV operating abnormality.

[0073] In order to solve this technical problem, in some embodiments of the present invention, as Figure 5 As shown, before step S102, the following steps are also included:

[0074] S501, determining a first pump oil volume of a first OMV during a working period and a second pump oil volume of a second OMV during a working period based on a control item of a PID algorithm;

[0075] S502: Determine whether the oil levels of the first pump and the second pump are both greater than a threshold oil level.

[0076] Then step S102 includes:

[0077] 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;

[0078] 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.

[0079] In the embodiment of the present invention, before determining the first rail pressure deviation and the second rail pressure deviation, the first pump oil volume and the second pump oil volume are ensured to be greater than a threshold oil volume, thereby eliminating the influence of faults such as high-pressure system leakage and achieving accurate determination of abnormal operation of the OMV itself.

[0080] Furthermore, the embodiment of the present invention can also determine the oil quantity of the first pump and the oil quantity of the second pump based only on the control item of the PID algorithm, and the determination method is simple and fast.

[0081] In some embodiments of the present invention, Figure 6 As shown, step S501 includes:

[0082] 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;

[0083] 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.

[0084] 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.

[0085] 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, as Figure 7 As shown, the step S601 of obtaining the first proportional integral sum of the PID algorithm for controlling the first OMV during the working time period includes:

[0086] S701, obtaining multiple real-time first proportional terms and multiple real-time first integral terms of a PID algorithm for controlling a first OMV at multiple working time points;

[0087] S702: Determine multiple real-time proportional-integral sums based on multiple real-time first proportional terms and multiple real-time first integral terms;

[0088] S703: Determine a second average of the multiple real-time proportional integral sums, and use the second average as the first proportional integral sum.

[0089] 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 first pump oil volume, and further improving the accuracy of identifying abnormal conditions of the OMV.

[0090] 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 quantity.

[0091] 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.

[0092] In a specific embodiment of the present invention, if Figure 2 Taking the fuel system as an example, the abnormal operation identification process of each OMV is as follows: obtain the proportional item mean and proportional integral sum 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,

[0093] When the average value of 2#Pi item>40mg, the average value of 2#P item≤10bar, the average value of 4#Pi item>40mg, the average value of 4#P item≤10bar, the average value of 6#Pi item>40mg, the average value of 6#P item≤10bar, all OMVs are working normally;

[0094] When the average value of 2#Pi item is greater than 40mg, the average value of 2#P item is less than or equal to 10bar, the average value of 4#Pi item is greater than 40mg, and the average value of 4#P item is greater than 10bar, OMV No. 2 is working abnormally;

[0095] When the average value of 4#Pi item is greater than 40mg, the average value of 4#P item is less than or equal to 10bar, the average value of 6#Pi item is greater than 40mg, and the average value of 6#P item is greater than 10bar, OMV No. 4 is working abnormally;

[0096] When the average value of item 6#Pi is greater than 40mg, the average value of item 6#P is less than or equal to 10bar, the average value of item 2#Pi is greater than 40mg, and the average value of item 2#P is greater than 10bar, OMV No. 6 is working abnormally.

[0097] Among them, the principle of identifying abnormal working conditions through the above two parameters is as follows: Figure 9 As shown, if OMV #4 is malfunctioning, then while injector #5 or #2 is injecting fuel, the rail pressure will be significantly lower after injection is complete. Before injection is complete, the rail pressure remains unchanged, so the PID parameters remain unchanged from normal operation: "The average value of item #4Pi is greater than 40mg, and the average value of item #4P is less than or equal to 10bar." However, after injection is complete, the rail pressure is significantly lower, and OMV #6 becomes active, resulting in "the average value of item #6Pi is greater than 40mg, and the average value of item #6P is greater than 10bar."

[0098] In order to better implement the high-pressure oil circuit OMV abnormal operation identification method in the embodiment of the present invention, based on the high-pressure oil circuit OMV abnormal operation identification method, the embodiment of the present invention also provides a high-pressure oil circuit OMV abnormal operation identification device, the high-pressure oil circuit includes multiple high-pressure oil pumps and multiple OMVs that control the oil pumping amount of the high-pressure oil pumps. The OMVs are controlled in real time by a PID algorithm. The multiple OMVs include a first OMV and a second OMV that work in sequence, such as Figure 10 As shown, the high-pressure oil circuit OMV abnormal operation identification device 1000 includes:

[0099] A rail pressure deviation determining unit 1001 is configured to determine a first rail pressure deviation of a first OMV during a working period and a second rail pressure deviation of a second OMV during a working period based on a control item of a PID algorithm;

[0100] The operation abnormality identification unit 1002 is configured 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.

[0101] 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, and will not be repeated here.

[0102] like Figure 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. Figure 11 Only some of the components of the diesel engine 1100 are shown, but it should be understood that implementation of all of the shown components is not required, and more or fewer components may be implemented instead.

[0103] In some embodiments, the processor 1101 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 1102 , such as the method for identifying abnormal operation of the high-pressure oil circuit OMV in the present invention.

[0104] In some embodiments of the present invention, processor 1101 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, processor 1101 may be local or remote. In some embodiments, processor 1101 may be implemented on 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, multiple clouds, or any combination thereof.

[0105] In some embodiments, the memory 1102 may be an internal storage unit of the diesel engine 1100 , such as a hard disk or memory of the diesel engine 1100 .

[0106] 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.

[0107] In some embodiments, display 1103 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 1103 is used to display information about diesel engine 1100 and to present a visual user interface. Components 1101-1103 of diesel engine 1100 communicate with each other via a system bus.

[0108] 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:

[0109] determining a first rail pressure deviation of the first OMV during an operating time period and a second rail pressure deviation of the second OMV during an operating time period based on a control item of a PID algorithm;

[0110] 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.

[0111] 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, it can also implement other functions. For details, please refer to the description of the corresponding method embodiment above.

[0112] Accordingly, 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 by the above-mentioned method embodiments.

[0113] Those skilled in the art will appreciate that all or part of the process flow of the above-described method embodiment can be implemented by instructing related hardware (such as a processor, controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a magnetic disk, an optical disk, a read-only memory, or a random access memory.

[0114] The above is a detailed introduction to the 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 ideas of the present invention, there will be changes in the specific implementation methods 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 the 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 that operate sequentially. The method includes: determining a first rail pressure deviation of the first OMV during an operating time period and a second rail pressure deviation of the second OMV during the operating 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 is operating 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, 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 during the working time period includes: Obtaining a plurality of real-time first proportional terms of a PID algorithm for controlling the first OMV at the plurality of operating 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, characterized in that: After the control item based on the PID algorithm determines 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, the method further includes: Determining a first pump oil volume of the first OMV during an operating period and a second pump oil volume of the second OMV during an operating period based on a control item of a PID algorithm; determining whether both the first pump oil level and the second pump oil level are 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 is operating 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 quantity, and the second proportional integral sum is used as the second pump oil quantity.

6. The method for identifying abnormal operation of the high-pressure oil circuit OMV according to claim 5, 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 during the working time period includes: Obtaining 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 operating 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, 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 the OMV in a high-pressure oil circuit, characterized in that: The high-pressure oil circuit includes multiple high-pressure oil pumps and multiple OMVs that control the oil pumping volume of the high-pressure oil pumps. The OMVs are controlled in real time by a PID algorithm. The multiple OMVs include a first OMV and a second OMV that work in sequence. 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 configured 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 of 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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