Fuel metering valve flow characteristic self-learning method and device, and storage medium

Abstract

This invention relates to a self-learning method, device, and storage medium for the flow characteristics of a fuel metering valve, belonging to the field of diesel engine fuel system control technology. The method includes: converting the basic flow rate of the fuel metering valve into a first drive setting current based on its flow characteristics, and converting the corrected flow rate into a second drive setting current; when the vehicle meets a first preset condition, performing a one-stage self-learning of the fuel metering valve flow characteristics based on the difference between the first and second drive setting currents; when the vehicle meets a second preset condition, performing a two-stage self-learning of the fuel metering valve flow characteristics after the one-stage self-learning based on the difference. The self-learning method for the flow characteristics of a fuel metering valve provided by this invention solves the problem of rail pressure control deterioration caused by inconsistent manufacturing and aging of the metering valve, improves the accuracy of the drive current calculated from the flow characteristics, thereby enhancing the stability and responsiveness of rail pressure control.

Description

Technical Field

[0001] This invention relates to the field of diesel engine fuel system control technology, and in particular to a self-learning method, device and storage medium for the flow characteristics of a fuel metering valve. Background Technology

[0002] In modern diesel engines, the flow characteristics of the high-pressure fuel pump's fuel metering valve have a significant impact on the performance of the entire fuel supply system, directly affecting the rail pressure control quality of the high-pressure common rail system. Current technology for controlling the fuel metering valve involves calculating the required pumping flow rate of the high-pressure fuel pump based on the rail pressure deviation using a feedforward closed-loop control function. Then, based on the engine speed, the required drive current of the metering valve is calculated from a fuel metering valve flow characteristic table. Finally, this current is converted into a drive duty cycle and control frequency, which is then passed to the lower-level drive unit to operate the metering valve. Simultaneously, the lower-level unit feeds back the measured actual drive current of the metering valve to the application layer, where closed-loop control of the current is implemented.

[0003] The existing solution does not take into account the product consistency and wear issues of the fuel metering valve, resulting in inaccurate drive current calculated from the flow characteristics. This requires subsequent rail pressure closed-loop control to readjust the rail pressure, which can easily cause system oscillation. Summary of the Invention

[0004] In view of this, it is necessary to provide a self-learning method, device and storage medium for the flow characteristics of fuel metering valves to solve the problem of rail pressure control deterioration caused by inconsistent production and aging of metering valves.

[0005] To address the above problems, this invention provides a self-learning method for the flow characteristics of a fuel metering valve, comprising:

[0006] The basic flow rate of the fuel metering valve is converted into a first drive setting current by utilizing the flow characteristics of the fuel metering valve, and the corrected flow rate is converted into a second drive setting current.

[0007] When the vehicle meets the first preset condition, the flow characteristics of the fuel metering valve are self-learned in one stage based on the difference between the first drive setting current and the second drive setting current.

[0008] When the vehicle meets the second preset condition, the fuel metering valve flow characteristics after the first-stage self-learning are subjected to a second-stage self-learning based on the difference.

[0009] In one possible implementation, when the vehicle meets the first preset condition, performing a one-stage self-learning of the fuel metering valve flow characteristics based on the difference between the first drive setting current and the second drive setting current includes:

[0010] Based on the difference between the first drive setting current and the second drive setting current, a flow characteristic current correction value is determined;

[0011] Based on the current correction value of the flow characteristic, the flow characteristic of the fuel metering valve is subjected to a one-stage self-learning process.

[0012] In one possible implementation, the first preset condition includes:

[0013] The engine is idling.

[0014] PTO function is not enabled;

[0015] Cruise control is not enabled;

[0016] The air conditioner is off;

[0017] The starter motor is in the off position;

[0018] The vehicle is in neutral.

[0019] Assisted braking function is not activated;

[0020] The engine rapid warm-up function is not activated;

[0021] No current faults are found in the fuel injectors;

[0022] The fuel temperature sensor has no current fault.

[0023] The coolant temperature sensor has no current fault.

[0024] The rail pressure sensor has no current faults.

[0025] The fuel metering valve has no current fault.

[0026] The vehicle speed sensor has no current fault.

[0027] The crankshaft speed sensor has no current fault.

[0028] The deviation between the engine speed and the target idle speed is less than the first preset threshold.

[0029] The throttle opening is less than the second preset threshold.

[0030] The vehicle speed is less than the third preset threshold;

[0031] The fuel injection quantity is within the first preset range;

[0032] Coolant temperature is within the second preset range;

[0033] The fuel temperature is within the third preset range;

[0034] The first phase of self-study did not exceed the allotted time.

[0035] In one possible implementation, the second preset condition includes:

[0036] The engine is idling.

[0037] PTO function is not enabled;

[0038] Cruise control is not enabled;

[0039] The air conditioner is off;

[0040] The starter motor is in the off position;

[0041] The vehicle is in neutral, and the neutral switch is working properly.

[0042] Assisted braking function is not activated;

[0043] The engine rapid warm-up function is not activated;

[0044] No current faults are found in the fuel injectors;

[0045] The fuel temperature sensor has no current fault.

[0046] The coolant temperature sensor has no current fault.

[0047] The rail pressure sensor has no current faults.

[0048] The fuel metering valve has no current fault.

[0049] The vehicle speed sensor has no current fault.

[0050] The crankshaft speed sensor has no current fault.

[0051] The deviation between the engine speed and the target idle speed is less than the fourth preset threshold.

[0052] The engine speed is within the fourth preset range;

[0053] The throttle opening is less than the fifth preset threshold.

[0054] The vehicle speed is less than the sixth preset threshold;

[0055] The fuel injection quantity is within the fifth preset range;

[0056] The rail pressure deviation is less than the seventh preset threshold.

[0057] The coolant temperature is within the sixth preset range;

[0058] The fuel temperature is within the seventh preset range;

[0059] The battery voltage is within the eighth preset range;

[0060] Phase one of self-study has been completed;

[0061] The second phase of self-study time did not exceed the limit.

[0062] In one possible implementation, before converting the base flow rate to a first drive setting current via the fuel metering valve flow characteristics, and before converting the corrected flow rate to a second drive setting current, the method further includes:

[0063] The base flow rate is determined based on the fuel injection quantity and leakage of the fuel injector;

[0064] The corrected flow rate is determined based on the rail pressure deviation.

[0065] In one possible implementation, before converting the base flow rate to a first drive setting current via the flow characteristics of the metering valve, and before converting the corrected flow rate to a second drive setting current, the method further includes:

[0066] The base flow rate and the modified flow rate are respectively subjected to average value filtering to obtain the processed flow rate.

[0067] The present invention also provides a fuel metering valve flow characteristic self-learning device, comprising:

[0068] The conversion module is used to convert the basic flow rate of the fuel metering valve into a first drive setting current based on the flow characteristics of the fuel metering valve, and to convert the corrected flow rate into a second drive setting current.

[0069] The first self-learning module is used to perform a one-stage self-learning of the flow characteristics of the fuel metering valve based on the difference between the first drive setting current and the second drive setting current when the vehicle meets the first preset conditions.

[0070] The second self-learning module is used to perform a second-stage self-learning on the fuel metering valve flow characteristics after the first-stage self-learning based on the difference when the vehicle meets the second preset conditions.

[0071] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein,

[0072] The memory is used to store programs;

[0073] The processor, coupled to the memory, is used to execute the program stored in the memory to implement the self-learning method for the flow characteristics of the fuel metering valve as described in any of the above implementations.

[0074] On the other hand, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the self-learning method for the flow characteristics of the fuel metering valve as described in any of the above implementations.

[0075] On the other hand, the present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the self-learning method for the flow characteristics of the fuel metering valve as described in any of the above implementations.

[0076] The beneficial effects of this invention are as follows: The self-learning method for the flow characteristics of a fuel metering valve provided by this invention converts the basic flow of the fuel metering valve into a first drive setting current and the corrected flow into a second drive setting current through the flow characteristics of the fuel metering valve. The difference between the first drive setting current and the second drive setting current is used as the flow characteristic current correction value that needs to be self-learned. Since the operating conditions of diesel engines are complex, by judging whether the vehicle meets the first preset condition or the second preset condition, the vehicle can perform two stages of self-learning under specific operating conditions. This solves the problem of rail pressure control deterioration caused by the inconsistency of metering valve production and aging, improves the accuracy of the drive current converted from the flow characteristics, and thus improves the stability and responsiveness of rail pressure control. Attached Figure Description

[0077] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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 effort.

[0078] Figure 1 One of the method flowcharts for an embodiment of the self-learning method for the flow characteristics of a fuel metering valve provided by the present invention;

[0079] Figure 2 A schematic diagram of the self-learning functional architecture for the flow characteristics of the metering valve provided by the present invention;

[0080] Figure 3 A schematic diagram of the self-learning method for the flow characteristics of a metering valve provided by the present invention;

[0081] Figure 4 A second flowchart of an embodiment of the self-learning method for the flow characteristics of a fuel metering valve provided by the present invention;

[0082] Figure 5 This is a schematic diagram of an embodiment of the self-learning device for the flow characteristics of a fuel metering valve provided by the present invention.

[0083] Figure 6 A schematic diagram of an embodiment of the electronic device provided by the present invention. Detailed Implementation

[0084] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0085] In the description of the embodiments of the present invention, unless otherwise stated, "multiple" means two or more. "And / or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0086] The terms "first," "second," etc., used in the embodiments of this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0087] Figure 1 One of the method flowcharts for an embodiment of the self-learning method for the flow characteristics of a fuel metering valve provided by the present invention is shown below. Figure 1 As shown, the self-learning method for the flow characteristics of the fuel metering valve includes:

[0088] S101. Convert the basic flow rate of the fuel metering valve into a first drive setting current and the corrected flow rate into a second drive setting current by using the flow characteristics of the fuel metering valve.

[0089] S102. When the vehicle meets the first preset condition, the flow characteristics of the fuel metering valve are self-learned in one stage based on the difference between the first drive setting current and the second drive setting current.

[0090] S103. When the vehicle meets the second preset condition, perform a second-stage self-learning on the fuel metering valve flow characteristics after the first-stage self-learning based on the difference.

[0091] Compared with the prior art, the fuel metering valve flow characteristic self-learning method provided in this embodiment of the invention converts the basic flow of the fuel metering valve into a first drive setting current and the corrected flow into a second drive setting current through the fuel metering valve flow characteristics. The difference between the first drive setting current and the second drive setting current is used as the flow characteristic current correction value that needs to be self-learned. Since the operating conditions of diesel engines are complex, by judging whether the vehicle meets the first preset condition or the second preset condition, the vehicle can perform two stages of self-learning under specific operating conditions. This solves the problem of rail pressure control deterioration caused by the inconsistency of metering valve production and aging, improves the accuracy of the drive current converted from the flow characteristics, and thus improves the stability and responsiveness of rail pressure control.

[0092] In some embodiments of the present invention, before converting the base flow rate into a first drive setting current through the flow characteristics of the fuel metering valve, and before converting the corrected flow rate into a second drive setting current, the method further includes:

[0093] The base flow rate is determined based on the fuel injection quantity and leakage of the fuel injector;

[0094] The corrected flow rate is determined based on the rail pressure deviation.

[0095] In some embodiments of the present invention, the step of performing a one-stage self-learning of the fuel metering valve flow characteristics based on the difference between the first drive setting current and the second drive setting current when the vehicle meets the first preset condition includes:

[0096] Based on the difference between the first drive setting current and the second drive setting current, a flow characteristic current correction value is determined;

[0097] Based on the current correction value of the flow characteristic, the flow characteristic of the fuel metering valve is subjected to a one-stage self-learning process.

[0098] The feedforward flow rate, or base flow rate, is calculated by summing the fuel injection volume and leakage volume of the injector.

[0099] At the same time, the correction flow is calculated through PID closed-loop based on the rail pressure deviation, that is, the rail pressure closed-loop control correction flow, and our goal is to eliminate the correction flow.

[0100] The basic flow rate and the corrected flow rate are converted into the drive setting current through the flow characteristics of the metering valve, respectively. The difference between the two is the flow characteristic current correction value that needs to be self-learned. This value is stored and used for subsequent corrections.

[0101] In some embodiments of the present invention, the first preset condition includes:

[0102] The engine is idling.

[0103] PTO function is not enabled;

[0104] Cruise control is not enabled;

[0105] The air conditioner is off;

[0106] The starter motor is in the off position;

[0107] The vehicle is in neutral.

[0108] Assisted braking function is not activated;

[0109] The engine rapid warm-up function is not activated;

[0110] No current faults are found in the fuel injectors;

[0111] The fuel temperature sensor has no current fault.

[0112] The coolant temperature sensor has no current fault.

[0113] The rail pressure sensor has no current faults.

[0114] The fuel metering valve has no current fault.

[0115] The vehicle speed sensor has no current fault.

[0116] The crankshaft speed sensor has no current fault.

[0117] The deviation between the engine speed and the target idle speed is less than the first preset threshold.

[0118] The throttle opening is less than the second preset threshold.

[0119] The vehicle speed is less than the third preset threshold;

[0120] The fuel injection quantity is within the first preset range;

[0121] Coolant temperature is within the second preset range;

[0122] The fuel temperature is within the third preset range;

[0123] The first phase of self-study did not exceed the allotted time.

[0124] In some embodiments of the present invention, the second preset condition includes:

[0125] The engine is idling.

[0126] PTO function is not enabled;

[0127] Cruise control is not enabled;

[0128] The air conditioner is off;

[0129] The starter motor is in the off position;

[0130] The vehicle is in neutral, and the neutral switch is working properly.

[0131] Assisted braking function is not activated;

[0132] The engine rapid warm-up function is not activated;

[0133] No current faults are found in the fuel injectors;

[0134] The fuel temperature sensor has no current fault.

[0135] The coolant temperature sensor has no current fault.

[0136] The rail pressure sensor has no current faults.

[0137] The fuel metering valve has no current fault.

[0138] The vehicle speed sensor has no current fault.

[0139] The crankshaft speed sensor has no current fault.

[0140] The deviation between the engine speed and the target idle speed is less than the fourth preset threshold.

[0141] The engine speed is within the fourth preset range;

[0142] The throttle opening is less than the fifth preset threshold.

[0143] The vehicle speed is less than the sixth preset threshold;

[0144] The fuel injection quantity is within the fifth preset range;

[0145] The rail pressure deviation is less than the seventh preset threshold.

[0146] The coolant temperature is within the sixth preset range;

[0147] The fuel temperature is within the seventh preset range;

[0148] The battery voltage is within the eighth preset range;

[0149] Phase one of self-study has been completed;

[0150] The second phase of self-study time did not exceed the limit.

[0151] Due to the complex operating conditions of diesel engines, real-time self-learning is not the most effective method. Therefore, it is necessary to set stable operating conditions suitable for self-learning.

[0152] In addition, for optimization-type self-learning, the control level of the previous stage will have a certain impact on the self-learning quality of the next stage. To this end, the present invention designs a two-stage self-learning working condition, and the working condition constraints include a first preset condition and a second preset condition.

[0153] When all the first preset conditions are met, the system enters the first stage of self-learning, which is temporary self-learning; when all the second preset conditions are met, the system enters the second stage of self-learning, which is enhanced self-learning.

[0154] Understandably, the second preset condition is more stringent than the first preset condition, that is: the fourth preset threshold is less than the first preset threshold, the fifth preset threshold is less than the second preset threshold, the sixth preset threshold is less than the third preset threshold, the fifth preset range is less than the first preset range, the sixth preset range is less than the second preset range, and the seventh preset range is less than the third preset range.

[0155] The first preset threshold, second preset threshold, third preset threshold, fourth preset threshold, fifth preset threshold, sixth preset threshold, seventh preset threshold, first preset range, second preset range, third preset range, fourth preset range, fifth preset range, sixth preset range, seventh preset range, and eighth preset range can be calibrated as needed.

[0156] In some embodiments of the present invention, before converting the base flow rate into a first drive setting current through the flow characteristics of the metering valve, and converting the corrected flow rate into a second drive setting current, the method further includes:

[0157] The base flow rate and the modified flow rate are respectively subjected to average value filtering to obtain the processed flow rate.

[0158] Applying average values ​​to the base flow and the corrected flow can smooth the data and reduce noise, resulting in a processed flow that reduces interference caused by noise and improves the accuracy and reliability of the data.

[0159] The self-learning method for the flow characteristics of fuel metering valves provided by this invention adds a self-learning function for the flow characteristics of fuel metering valves compared to existing technical solutions. Figure 2 The diagram below illustrates the self-learning functional architecture of the metering valve flow characteristics provided by this invention. Figure 2 As shown, the software calculates the feedforward flow (i.e., the base flow) by summing the fuel injection quantity and leakage quantity of the injector. At the same time, it calculates the correction flow (i.e., the rail pressure closed-loop control correction flow) based on the rail pressure deviation through PID closed-loop. Our goal is to eliminate this correction flow. The solution is to convert the base flow and the correction flow into the drive set current through the flow characteristics of the metering valve, respectively. The difference between the two is the flow characteristic current correction value that needs to be self-learned. This value is stored and used for subsequent corrections.

[0160] Figure 3This is a schematic diagram of the self-learning method for the flow characteristics of the metering valve provided by the present invention. Due to the complex operating conditions of diesel engines, real-time self-learning is not the most effective method. Therefore, a stable operating condition suitable for self-learning needs to be established. Furthermore, for optimization-type self-learning, the control level in the previous stage can affect the quality of self-learning in the subsequent stage. Therefore, the present invention designs a two-stage self-learning operating condition, with the following constraints:

[0161] (1) When all of the following conditions are met, a first stage of self-learning (i.e., temporary self-learning) begins:

[0162] The engine is idling.

[0163] PTO function is not enabled;

[0164] Cruise control is not enabled;

[0165] The air conditioner is off;

[0166] The starter motor is in the off position;

[0167] The vehicle is in neutral.

[0168] Assisted braking function is not activated;

[0169] The engine rapid warm-up function is not activated;

[0170] The following sensors / actuators have no current faults;

[0171] Injector;

[0172] Fuel temperature sensor;

[0173] Coolant temperature sensor;

[0174] Rail pressure sensor;

[0175] Fuel metering valve;

[0176] Vehicle speed sensor;

[0177] Crankshaft speed sensor;

[0178] The deviation between the engine speed and the target idle speed is small enough to be less than the first preset threshold.

[0179] The throttle opening is small enough, less than the second preset threshold;

[0180] The vehicle speed is low enough, below the third preset threshold;

[0181] The fuel injection quantity is within the first preset range;

[0182] Coolant temperature is within the second preset range;

[0183] The fuel temperature is within the third preset range;

[0184] The first phase of self-study did not exceed the allotted time.

[0185] (2) When all of the following conditions are met, proceed to the second stage of self-learning (enhanced self-learning):

[0186] The engine is idling.

[0187] PTO function is not enabled;

[0188] Cruise control is not enabled;

[0189] The air conditioner is off;

[0190] The starter motor is in the off position;

[0191] The vehicle is in neutral, and the neutral switch is working properly.

[0192] Assisted braking function is not activated;

[0193] The engine rapid warm-up function is not activated;

[0194] The following sensors / actuators have no current faults:

[0195] Injector;

[0196] Fuel temperature sensor;

[0197] Coolant temperature sensor;

[0198] Rail pressure sensor;

[0199] Fuel metering valve;

[0200] Vehicle speed sensor;

[0201] Crankshaft speed sensor;

[0202] The deviation between the engine speed and the idle speed setting is small enough to be less than the fourth preset threshold.

[0203] The engine speed is within the fourth preset range;

[0204] The throttle opening is small enough, less than the fifth preset threshold;

[0205] The vehicle speed is low enough, below the sixth preset threshold;

[0206] The fuel injection quantity is within the fifth preset range;

[0207] The rail pressure deviation is small enough, less than the seventh preset threshold;

[0208] The coolant temperature is within the sixth preset range;

[0209] The fuel temperature is within the seventh preset range;

[0210] The battery voltage is within the eighth preset range;

[0211] The system has completed the first phase of self-learning;

[0212] The second phase of self-study time did not exceed the limit.

[0213] Figure 4 A second flowchart of an embodiment of the self-learning method for the flow characteristics of a fuel metering valve provided by the present invention is shown below. Figure 4 As shown, when all the first preset conditions are met, the system enters the first stage of self-learning, i.e., temporary self-learning; when all the second preset conditions are met, the system enters the second stage of self-learning, i.e., enhanced self-learning.

[0214] The self-learning method for the flow characteristics of fuel metering valves provided by this invention uses rail pressure closed-loop control to correct the flow as the self-learning target. It performs self-learning in two stages under specific operating conditions, which can solve the problem of rail pressure control deterioration caused by production inconsistency and aging of metering valves, thereby improving the stability and responsiveness of rail pressure control.

[0215] To better implement the self-learning method for the flow characteristics of the fuel metering valve in this embodiment of the invention, this embodiment also provides a self-learning device for the flow characteristics of the fuel metering valve. Figure 5 This is a schematic diagram of an embodiment of the self-learning device for the flow characteristics of a fuel metering valve provided by the present invention, as shown below. Figure 5 As shown, the fuel metering valve flow characteristic self-learning device 500 includes:

[0216] The conversion module 510 is used to convert the basic flow of the fuel metering valve into a first drive setting current based on the flow characteristics of the fuel metering valve, and to convert the corrected flow into a second drive setting current.

[0217] The first self-learning module 520 is used to perform a one-stage self-learning of the flow characteristics of the fuel metering valve based on the difference between the first drive setting current and the second drive setting current when the vehicle meets the first preset conditions.

[0218] The second self-learning module 530 is used to perform a second-stage self-learning on the fuel metering valve flow characteristics after the first-stage self-learning based on the difference when the vehicle meets the second preset conditions.

[0219] The fuel metering valve flow characteristic self-learning device 500 provided in the above embodiments can realize the technical solutions described in the above fuel metering valve flow characteristic self-learning method embodiments. The specific implementation principles of each module or unit can be found in the corresponding content of the fuel metering valve flow characteristic self-learning method embodiments, which will not be repeated here.

[0220] like Figure 6 As shown, the present invention also provides an electronic device 600. The electronic device 600 includes a processor 601, a memory 602, and a display 603. Figure 6 Only some components of the electronic device 600 are shown, but it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented instead.

[0221] In some embodiments, processor 601 may be a central processing unit (CPU), microprocessor, or other data processing chip, used to run program code stored in memory 602 or process data, such as the fuel metering valve flow characteristic self-learning method of the present invention.

[0222] In some embodiments, processor 601 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 601 may be local or remote. In some embodiments, processor 601 may be implemented on a cloud platform. In some embodiments, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-cloud, or any combination thereof.

[0223] In some embodiments, memory 602 may be an internal storage unit of electronic device 600, such as a hard disk or memory of electronic device 600. In other embodiments, memory 602 may also be an external storage device of electronic device 600, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on electronic device 600.

[0224] Furthermore, the memory 602 may include both internal storage units of the electronic device 600 and external storage devices. The memory 602 is used to store application software and various types of data installed on the electronic device 600.

[0225] In some embodiments, display 603 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an organic light-emitting diode (OLED) touchscreen. Display 603 is used to display information from electronic device 600 and to display a visual user interface. Components 601-603 of electronic device 600 communicate with each other via a system bus.

[0226] In one embodiment, when processor 601 executes the fuel metering valve flow characteristic self-learning program in memory 602, the following steps can be implemented:

[0227] The basic flow rate of the fuel metering valve is converted into a first drive setting current by utilizing the flow characteristics of the fuel metering valve, and the corrected flow rate is converted into a second drive setting current.

[0228] When the vehicle meets the first preset condition, the flow characteristics of the fuel metering valve are self-learned in one stage based on the difference between the first drive setting current and the second drive setting current.

[0229] When the vehicle meets the second preset condition, the fuel metering valve flow characteristics after the first-stage self-learning are subjected to a second-stage self-learning based on the difference.

[0230] It should be understood that when the processor 601 executes the fuel metering valve flow characteristic self-learning program in the memory 602, in addition to the functions mentioned above, it can also perform other functions, as detailed in the description of the corresponding method embodiments above.

[0231] Furthermore, this embodiment of the invention does not specifically limit the type of electronic device 600 mentioned. Electronic device 600 can be a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, laptop computer, or other portable electronic device. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable electronic device can also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the invention, electronic device 600 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0232] Accordingly, this application also provides a computer-readable storage medium for storing computer-readable programs or instructions. When the programs or instructions are executed by a processor, they can implement the steps or functions of the fuel metering valve flow characteristic self-learning method provided in the above-described method embodiments.

[0233] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.), and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0234] The above provides a detailed description of the fuel metering valve flow characteristic self-learning method, device, and storage medium provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A self-learning method for the flow characteristics of a fuel metering valve, characterized in that, include: The basic flow rate of the fuel metering valve is converted into a first drive setting current by utilizing the flow characteristics of the fuel metering valve, and the corrected flow rate is converted into a second drive setting current. When the vehicle meets the first preset condition, the flow characteristics of the fuel metering valve are self-learned in one stage based on the difference between the first drive setting current and the second drive setting current. When the first stage of self-learning is completed and the vehicle meets the second preset condition, the fuel metering valve flow characteristics after the first stage of self-learning are subjected to a second stage of self-learning based on the difference. The first-stage self-learning is temporary self-learning, the second-stage self-learning is enhanced self-learning, and the second preset condition is more stringent than the first preset condition; Before converting the basic flow rate of the fuel metering valve into a first drive setting current based on the flow characteristics of the fuel metering valve, and converting the corrected flow rate into a second drive setting current, the method further includes: The corrected flow rate is determined based on the rail pressure deviation.

2. The self-learning method for the flow characteristics of a fuel metering valve according to claim 1, characterized in that, When the vehicle meets the first preset condition, the fuel metering valve flow characteristics are self-learned in one stage based on the difference between the first drive setting current and the second drive setting current, including: Based on the difference between the first drive setting current and the second drive setting current, a flow characteristic current correction value is determined; Based on the current correction value of the flow characteristic, the flow characteristic of the fuel metering valve is subjected to a one-stage self-learning process.

3. The self-learning method for the flow characteristics of a fuel metering valve according to claim 1, characterized in that, The first preset conditions include: The engine is idling. PTO function is not enabled; Cruise control is not enabled; The air conditioner is off; The starter motor is in the off position; The vehicle is in neutral. Assisted braking function is not activated; The engine rapid warm-up function is not activated; No current faults are found in the fuel injectors; The fuel temperature sensor has no current fault. The coolant temperature sensor has no current fault. The rail pressure sensor has no current faults. The fuel metering valve has no current fault. The vehicle speed sensor has no current fault. The crankshaft speed sensor has no current fault. The deviation between the engine speed and the target idle speed is less than the first preset threshold. The throttle opening is less than the second preset threshold. The vehicle speed is less than the third preset threshold; The fuel injection quantity is within the first preset range; Coolant temperature is within the second preset range; The fuel temperature is within the third preset range; The first phase of self-study did not exceed the allotted time.

4. The self-learning method for the flow characteristics of a fuel metering valve according to claim 1, characterized in that, The second preset condition includes: The engine is idling. PTO function is not enabled; Cruise control is not enabled; The air conditioner is off; The starter motor is in the off position; The vehicle is in neutral, and the neutral switch is working properly. Assisted braking function is not activated; The engine rapid warm-up function is not activated; No current faults are found in the fuel injectors; The fuel temperature sensor has no current fault. The coolant temperature sensor has no current fault. The rail pressure sensor has no current faults. The fuel metering valve has no current fault. The vehicle speed sensor has no current fault. The crankshaft speed sensor has no current fault. The deviation between the engine speed and the target idle speed is less than the fourth preset threshold. The engine speed is within the fourth preset range; The throttle opening is less than the fifth preset threshold. The vehicle speed is less than the sixth preset threshold; The fuel injection quantity is within the fifth preset range; The rail pressure deviation is less than the seventh preset threshold. The coolant temperature is within the sixth preset range; The fuel temperature is within the seventh preset range; The battery voltage is within the eighth preset range; The second phase of self-study time did not exceed the limit.

5. The self-learning method for the flow characteristics of a fuel metering valve according to claim 1, characterized in that, Before converting the basic flow rate of the fuel metering valve into a first drive setting current based on the flow characteristics of the fuel metering valve, and converting the corrected flow rate into a second drive setting current, the method further includes: The base flow rate is determined based on the fuel injection quantity and leakage of the injector.

6. The self-learning method for the flow characteristics of a fuel metering valve according to claim 1, characterized in that, Before converting the basic flow rate of the fuel metering valve into a first drive setting current based on the flow characteristics of the fuel metering valve, and converting the corrected flow rate into a second drive setting current, the method further includes: The base flow rate and the modified flow rate are respectively subjected to average value filtering to obtain the processed flow rate.

7. A self-learning device for the flow characteristics of a fuel metering valve, characterized in that, include: The conversion module is used to convert the basic flow rate of the fuel metering valve into a first drive setting current based on the flow characteristics of the fuel metering valve, and to convert the corrected flow rate into a second drive setting current. The first self-learning module is used to perform a one-stage self-learning of the flow characteristics of the fuel metering valve based on the difference between the first drive setting current and the second drive setting current when the vehicle meets the first preset conditions. The second self-learning module is used to perform a second-stage self-learning on the fuel metering valve flow characteristics after the first-stage self-learning based on the difference when the first-stage self-learning has been completed and the vehicle meets the second preset conditions. The first-stage self-learning is temporary self-learning, the second-stage self-learning is enhanced self-learning, and the second preset condition is more stringent than the first preset condition; Before converting the basic flow rate of the fuel metering valve into a first drive setting current based on the flow characteristics of the fuel metering valve, and converting the corrected flow rate into a second drive setting current, the method further includes: The corrected flow rate is determined based on the rail pressure deviation.

8. An electronic device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the self-learning method for the flow characteristics of the fuel metering valve as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the self-learning method for the flow characteristics of the fuel metering valve as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the self-learning method for the flow characteristics of the fuel metering valve as described in any one of claims 1 to 6.

Images