Fuel injector optimization method and system, alternative fuel vehicle and electronic equipment

Abstract

The invention discloses a fuel injector optimization method and system, a substitute fuel vehicle and electronic equipment, and relates to the technical field of engines. According to the method, after fault data including a failure sample report and operating parameters of an oil injector sample are obtained, a fault reason of the oil injector sample is determined based on the fault data and a preset problem database; and then reproducing fault reasons based on a preset multi-physical field coupling model in combination with the fuel injector fluid model, the fuel injector mechanical model and the fuel injector electromagnetic model so as to determine structural design defects of the fuel injector sample piece, and finally generating a structural improvement scheme for the fuel injector sample piece based on the structural design defects. Therefore, the problems that due to the low viscosity and corrosivity of fuel, the quality problem of the fuel injector used by the alternative fuel vehicle is prone to occurring, and the quality of the fuel injector applied to the alternative fuel vehicle is not high due to the fact that a method for reliably designing the fuel injector used by the alternative fuel vehicle does not exist at present are solved.

Description

Technical Field

[0001] The present application relates to the field of engine technology, and more specifically, to an injector optimization method, system, alternative fuel vehicle and electronic equipment. Background Art

[0002] As a core component of the vehicle power system, fuel engine injectors have always been provided with solutions by mature suppliers. However, when injectors are used in alternative fuel vehicles such as alternative fuels, the low viscosity and high corrosiveness of alternative fuels can easily cause injector wear and NVH (Noise, Vibration and Harshness) problems. Changes in flow rate can also cause engine output power problems. However, due to the low market share of alternative fuel vehicles, mature injector suppliers are unwilling to invest in R&D to develop products, and there is little experience in directly solving the injector problems of alternative fuel vehicles in the existing technology. The current method is to conduct empirical design based on traditional hardware design, according to the benchmarking data of traditional vehicle parts, in conjunction with a limited number of suppliers, combined with experiments and limited market quality feedback. Therefore, how to develop high-quality injector hardware within a limited project cycle has become an important issue. Summary of the invention

[0003] In view of this, the embodiments of the present application are committed to providing an injector optimization method, system, alternative fuel vehicle and electronic equipment to solve the problem that the injectors used in alternative fuel vehicles are prone to quality problems due to the low viscosity and corrosiveness of the fuel itself, and there is currently no method for reliably designing injectors used in alternative fuel vehicles, resulting in the problem of low quality of injectors used in alternative fuel vehicles.

[0004] In a first aspect, the present invention provides a method for optimizing a fuel injector, comprising:

[0005] Acquiring fault data of the injector sample, wherein the fault data includes a failure sample report and operating parameters of the injector sample;

[0006] Determining the cause of the failure of the injector sample based on the failure data and a preset problem database;

[0007] Based on the preset multi-physics field coupling model, the cause of the fault is reproduced in combination with the injector fluid model, the injector mechanical model and the injector electromagnetic model to determine the structural design defects of the injector sample;

[0008] Based on the structural design defects, a structural improvement plan for the injector sample is generated.

[0009] In a possible implementation, the method for generating the question database includes:

[0010] Acquiring sample fault data, wherein the sample fault data is a failure sample report and image data of a historical failure sample of the injector;

[0011] Starting from the two directions of the causes of injector failure, which include wear-related problems and non-wear-related problems, the sample fault data is logically classified to obtain the corresponding relationship between the causes of the failure of the injector historical failure sample and the sample fault data and the solution, wherein the solution is a solution for solving the failure problem of the injector historical failure sample;

[0012] Based on the corresponding relationship, the question database is generated.

[0013] In a possible implementation manner, after generating a structural improvement plan for the injector sample based on the structural design defect, the method further includes:

[0014] Standardizing the failure sample report and operating parameters of the injector sample;

[0015] Based on the structural improvement plan and the failure sample report and operating parameters after the standardization process, the problem database is updated.

[0016] In a possible implementation manner, the method of reproducing the fault cause based on a preset multi-physics field coupling model in combination with an injector fluid model, an injector mechanical model, and an injector electromagnetic model includes:

[0017] Based on the preset multi-physics field coupling model, combined with the injector fluid model, injector mechanical model and injector electromagnetic model, through multi-physics field coupling simulation, combined with the interaction between electricity, magnetism and fluid when the injector sample is working, the cause of the fault is reproduced.

[0018] In a possible implementation manner, generating a structural improvement plan for the injector sample based on the structural design defect includes:

[0019] Based on the structural design defects, determining structural improvement factors for the injector sample;

[0020] Determining the weight of each structural improvement factor for the fuel injector sample based on the degree of influence of each structural improvement factor on improving the quality of the fuel injector sample;

[0021] Based on the weights and preset cost requirements, the structural improvement plan is generated.

[0022] In a possible implementation manner, determining the structural improvement factors for the injector sample based on the structural design defects includes:

[0023] Based on the structural design defects, an objective function is defined;

[0024] Based on the objective function, the response surface design method is used to determine the structural improvement factors for the injector sample in the design space.

[0025] In a possible implementation manner, the structural improvement factors include: configuration, gap, spring force and driving method.

[0026] In a second aspect, the present invention provides an injector optimization system, comprising:

[0027] A collection unit, used for acquiring fault data of the injector sample, wherein the fault data includes a failure sample report and operating parameters of the injector sample;

[0028] A first processing unit, configured to determine a fault cause of the injector sample based on the fault data and a preset problem database;

[0029] A second processing unit is used to reproduce the cause of the fault based on a preset multi-physics field coupling model in combination with an injector fluid model, an injector mechanical model, and an injector electromagnetic model to determine the structural design defects of the injector sample;

[0030] An execution unit is used to generate a structural improvement plan for the injector sample based on the structural design defects.

[0031] In a third aspect, the present invention provides an alternative fuel vehicle, wherein the fuel injector of the alternative fuel vehicle is optimized by the fuel injector optimization method provided by the first aspect of the present invention.

[0032] In a fourth aspect, the present invention provides an electronic device, the electronic device comprising:

[0033] processor;

[0034] a memory for storing instructions executable by the processor;

[0035] The processor is used to execute the injector optimization method provided by the first aspect of the present invention.

[0036] According to the injector optimization method provided by the present invention, after obtaining the failure sample report and the fault data of the operating parameters of the injector sample, the cause of the failure of the injector sample is determined based on the fault data and the preset problem database, and the problems of the injector sample can be timely controlled based on the cause of the failure. Then, based on the preset multi-physics field coupling model combined with the injector fluid model, the injector mechanical model and the injector electromagnetic model, the cause of the failure is reproduced to determine the structural design defects of the injector sample, and the root cause of the failure of the injector sample can be found. Finally, based on the structural design defects, a structural improvement plan for the injector sample is generated, thereby realizing the optimized design of the injector for the injector sample, thereby improving the quality reliability of the injector. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0038] Figure 1 Shown is a flow chart of a fuel injector optimization method provided by an embodiment of the present invention.

[0039] Figure 2 The figure shows a flow chart of an example provided by an embodiment of the present invention for reproducing the sticking quality problem of a methanol injector by combining a multi-physics field coupling model with an injector fluid model, an injector mechanical model and an injector electromagnetic model to find the structural design defects of the methanol injector.

[0040] Figure 3 The figure shows an example flow chart of a fuel injector optimization process using the fuel injector optimization method provided by the present invention, provided in an embodiment of the present invention.

[0041] Figure 4 The figure shows an overall flow chart of optimizing a fuel injector sample using the fuel injector optimization method provided by an embodiment of the present invention.

[0042] Figure 5 Shown is a structural diagram of an injector optimization system provided by an embodiment of the present invention.

[0043] Figure 6 Shown is a structural diagram of another injector optimization system provided by an embodiment of the present invention.

[0044] Figure 7 Shown is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] Unless otherwise defined, the technical terms or scientific terms used in the embodiments of this specification shall have the common meanings understood by persons with ordinary skills in the field to which this specification belongs. The words "first", "second" and similar words used in the embodiments of this specification do not indicate any order, quantity or importance, but are only used to avoid confusion of constituent elements.

[0046] Unless the context requires otherwise, throughout the specification, "plurality" means "at least two", and "including" is interpreted as an open, inclusive meaning, that is, "including, but not limited to". In the description of the specification, the terms "one embodiment", "some embodiments", "exemplary embodiments", "examples", "specific examples" or "some examples" are intended to indicate that a particular feature, structure, material or characteristic associated with the embodiment or example is included in at least one embodiment or example of the specification. The schematic representation of the above terms does not necessarily refer to the same embodiment or example.

[0047] The following will be combined with the drawings in the embodiments of this specification to clearly and completely describe the technical solutions in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this specification.

[0048] It is understandable that fuel engine injectors, as core components of automotive power systems, have always been provided with solutions by mature suppliers. However, when used in alternative fuel vehicles such as alternative fuels, the low viscosity and corrosiveness of the fuel itself may cause a series of quality problems. And because the market share of vehicles equipped with them is not large, mature suppliers of traditional fuel injectors are generally unwilling to re-establish research and development projects. There are also very few methodological papers published at home and abroad that can be directly applied to alternative fuel injectors. At present, only on the basis of traditional hardware design, according to the benchmarking data of traditional vehicle parts, in conjunction with a limited number of suppliers, combined with experiments and limited market quality feedback, empirical design is carried out. Therefore, the quality reliability of injectors used in alternative fuel vehicles cannot be guaranteed.

[0049] The present invention aims to solve the above problems by using a multi-physics field coupling model to reproduce the cause of the failure of the fuel injector sample, find the root cause of the failure of the fuel injector sample, that is, the design defect, so as to optimize the fuel injector sample based on the design defect. Thus, a set of standard development processes is provided for the fuel injectors used in alternative fuel vehicles, which effectively improves the quality reliability of the fuel injectors used in alternative fuel vehicles.

[0050] Furthermore, the injector optimization method provided by the present invention is executed on an electronic device, which may be a network-side server or an intelligent terminal such as a smart phone or a laptop computer.

[0051] Based on the above, see Figure 1 , Figure 1 is a flow chart of a fuel injector optimization method provided by an embodiment of the present invention, such as Figure 1 As shown, the process of the method may include:

[0052] S100. Obtain fault data of a fuel injector sample.

[0053] Among them, the fault data includes the failure sample report and operating parameters of the injector sample.

[0054] Specifically, the operating parameters are hardware sensor data.

[0055] More specifically, when a fuel injector fails, it will be reflected in its operating parameters. At the same time, the failure sample report contains detailed records of the project name, sample name, model specifications, sample phenomenon, and analysis process of the phenomenon. Therefore, by using the failure sample report and operating parameters of the obtained fuel injector sample as fault data, the cause of the fuel injector sample failure can be analyzed based on the fault data.

[0056] S110. Determine the cause of the failure of the injector sample based on the failure data and a preset problem database.

[0057] Specifically, the problem database is a database that records the correspondence between the fault data samples and the fault causes of the fuel injector. Therefore, after obtaining the fault data of the fuel injector sample, by searching the fault data samples corresponding to the fault data in the problem database, the fault cause of the fuel injector sample can be determined according to the correspondence between the fault data samples and the fault causes.

[0058] S120. Based on a preset multi-physics field coupling model, the cause of the fault is reproduced in combination with the injector fluid model, the injector mechanical model and the injector electromagnetic model to determine the structural design defects of the injector sample.

[0059] Specifically, common causes of injector failure include: plunger hitting the wall, fuel injection hole clogging, ball valve unable to open, insufficient filtration, etc. It is understandable that these causes are only the direct causes of injector failure, not the root causes. If you want to solve the problem of the injector sample from the root, you need to find the root cause of the problem, that is, find the structural design defects that cause the corresponding problems of the injector sample.

[0060] Based on this, in this embodiment, a multi-physics field coupling model is used to combine the injector fluid model, the injector mechanical model and the injector electromagnetic model to reproduce the cause of the failure of the injector sample, so as to find the structural design defects of the injector sample, thereby solving the problems of the injector sample from the root and optimizing the injector.

[0061] It should be noted that the analysis of the injector foundation involves electromagnetic force analysis and structural response coupling analysis. It is understandable that in addition to the ideal situation, electromagnetic force analysis also needs to consider the impact of the magnetic field deflection effect caused by random factors in manufacturing. And structural response coupling analysis also needs to consider random factors, such as the impact of changes in friction coefficient.

[0062] Based on this, in an optional embodiment, based on a preset multi-physics field coupling model, the injector fluid model, the injector mechanical model and the injector electromagnetic model are combined to reproduce the cause of the fault, including:

[0063] Based on the preset multi-physics field coupling model, combined with the injector fluid model, injector mechanical model and injector electromagnetic model, through multi-physics field coupling simulation, combined with the interaction between electricity, magnetism and fluid when the injector sample is working, the cause of the fault is reproduced.

[0064] In some possible embodiments, Figure 2 This is a flowchart of an example of reproducing the quality problem of methanol fuel injector sticking by combining the multi-physics field coupling model provided by this embodiment with the injector fluid model, the injector mechanical model and the injector electromagnetic model to find the structural design defects of the methanol fuel injector. Figure 2 As shown, the multi-physics coupling model uses the ANSYS framework, that is, the multi-physics coupling model is built using Ansys workbench. Furthermore, the injector fluid model is built using CFX, the injector mechanical model is built using Mechanical APDL, and the injector electromagnetic model is built using Maxwell. It is finally determined that the root cause of the methanol injector's stuck quality problem is the wall friction coefficient and the distortion of the coil.

[0065] S130. Based on the structural design defects, generate a structural improvement plan for the injector sample.

[0066] Specifically, after the structural design defects of the injector sample are determined, a structural improvement plan for the injector sample can be generated according to the specific defects of the structural design to achieve an optimized design of the injector sample.

[0067] In this embodiment, the cause of the injector sample failure can be quickly determined through the fault data and the preset problem database, so as to facilitate the timely control of the injector sample problem. By reproducing the cause of the failure through the multi-physics field coupling model, the root cause of the injector sample problem can be quickly found according to the simulation results, and physical quantities such as the dynamic response of the plunger that are difficult to detect through experiments can be observed according to the simulation results, and then a structural improvement plan for the root cause of the injector sample problem is given, thereby ensuring that high-quality injector hardware can be developed within a limited project cycle, that is, high-quality injectors are provided for alternative fuel vehicles.

[0068] It is understandable that the accuracy and comprehensiveness of the preset problem database directly affects the accuracy of determining the cause of the injector sample failure.

[0069] Based on this, in an optional embodiment, a method for generating a question database includes:

[0070] Get sample failure data.

[0071] The sample failure data includes the failure sample report and image data of the historical failure samples of the injector.

[0072] Starting from the two directions of the causes of injector failure, including wear problems and non-wear problems, the sample failure data is logically classified to obtain the corresponding relationship between the causes of failure of historical injector failure samples and the sample failure data and solutions.

[0073] Among them, the solution is a solution for solving the failure problem of historical failure samples of injectors.

[0074] Based on the correspondence, a question database is generated.

[0075] Specifically, through in-depth analysis of historical injector failure samples and their failure sample reports, it is found that the problems of injector prototypes, that is, injector samples before optimization, can generally be divided into wear and non-wear problems.

[0076] In some possible embodiments, non-wear problems are divided into NVH problems and flow rate change problems. Among them, NVH problems are further divided into structural resonance, plunger wall collision, or backlash, while flow rate change is significantly affected by fuel slag inclusion and driving mode.

[0077] More specifically, after determining the problem classification of the fuel injector prototype, by logically classifying the sample fault data, the corresponding relationship between the cause of the failure of the historical failure sample of the fuel injector, the sample fault data, and the solution can be obtained. Further, by generating a problem database based on the corresponding relationship between the cause of the failure of the historical failure sample of the fuel injector, the sample fault data, and the solution, after obtaining the fault data of the fuel injector sample, based on the fault data and the problem database, not only can the cause of the failure of the fuel injector sample be determined, but also when the structural design defect corresponding to the fault data is a structural design defect that has been saved in the problem database, a solution can be directly found based on the problem database, thereby improving the optimization efficiency of the fuel injector.

[0078] It should be noted that the initial problem database can be judged by the experimenters based on experimental phenomena and experience, and then the corresponding judgment criteria can be directly given by the program in combination with the fault data (failure sample report and operating parameters) with the help of computer vision technology (i.e. image data).

[0079] It can be understood that by updating the problem database in real time after determining the structural improvement plan for the injector sample, the problem database can be continuously enriched, thereby further improving the optimization efficiency of the injector sample.

[0080] Based on this, in an optional embodiment, after generating a structural improvement plan for the injector sample based on the structural design defects, it also includes:

[0081] Standardize the failure sample reports and operating parameters of the injector samples;

[0082] The problem database is updated based on structural improvement plans and standardized failure sample reports and operating parameters.

[0083] Specifically, by standardizing the failure sample reports and operating parameters of the injector samples, and then updating the problem database, a standardized analysis guide and report can be formed in the problem database. By updating the problem database based on the structural improvement plan, the solution results can be benchmarked against the database. That is, the problem database can be used as a basis for determining the cause of the fault based on the fault data, and can also provide a continuously optimized reference for the standard parameters of the test bench sensor, thereby forming a closed-loop optimization for the injector. As a result, when the injector optimization method provided by the embodiment of the present invention is applied for product development, it has the ability to continuously optimize product performance, and can accurately examine more and more subtle parameter effects over time.

[0084] In some possible embodiments, Figure 3 This is a flow example of optimizing a fuel injector using the fuel injector optimization method provided in the above embodiment. Figure 3As shown, the analysis of fault data based on the problem database adopts logical classification. Among them, the logical branches specifically include whether there is an abnormality, whether the filtration is sufficient, whether the injection hole is blocked, whether there is air resistance, and whether the fuel can be changed. The standard for whether the experiment is passed can be that the typical quality problems no longer occur according to the improved structure.

[0085] In an optional embodiment, based on the structural design defects, a structural improvement plan for the injector sample is generated, including:

[0086] Based on the structural design defects, determine the structural improvement factors for the injector sample;

[0087] Determine the weight of each structural improvement factor for the injector sample based on the influence of each structural improvement factor on the quality of the improved injector sample;

[0088] Generate structural improvement plans based on weights and preset cost requirements.

[0089] In this embodiment, a specific method for generating a structural improvement plan for a fuel injector sample based on structural design defects is provided. Among them, the weights of each structural improvement factor for the fuel injector sample are determined according to the specific conditions of the project and the degree of influence of each structural improvement factor on the final quality of the product, and then the structural improvement plan is generated based on the weights and the preset cost requirements, that is, the development fund requirements, to ensure that the generated structural improvement plan can be quickly implemented. That is, after obtaining the weights of the structural design defects, the influence of the electronic control function, and the influence of the special physical and chemical properties of the fuel, an engineering plan that can be quickly implemented is obtained in combination with the cost.

[0090] In an optional embodiment, based on the structural design defects, structural improvement factors for the injector sample are determined, including:

[0091] Based on the structural design defects, define the objective function;

[0092] Based on the objective function, the response surface design method is used to determine the structural improvement factors for the injector sample in the design space.

[0093] In this embodiment, a specific method for determining structural improvement factors for a fuel injector sample based on structural design defects is provided. Among them, an objective function is defined based on the structural design defects, i.e., the root cause of the failure of the fuel injector sample. For example: minimizing wall impact, minimizing response delay, etc. Then, the response surface design method is used to determine the structural improvement factors for the fuel injector sample in the design space, thereby realizing rapid optimization in the design space with the help of CAE (Computer Aided Engineering) technology, and then facilitating the provision of a cost-effective structural improvement plan.

[0094] In some possible embodiments, after defining the objective function, the response surface is obtained by performing DOE (Data On-site) calculation and interpolation, and then a suitable algorithm such as a genetic algorithm is selected to find the optimal solution in the design space. In order to ensure the comprehensiveness of the analysis, the following factors are considered: different configuration effects, different clearance effects, different spring force effects, and different driving mode effects. Furthermore, different configuration effects are further refined into ball head configuration, valve seat configuration, valve body configuration, whether there is a guide, whether there is a chamfer, and surface treatment process considerations. The commonly used driving modes are current drive and voltage drive.

[0095] In an optional embodiment, the structural improvement factors include: configuration, gap, spring force and driving method.

[0096] In summary, the overall process of optimizing a fuel injector sample using the fuel injector optimization method provided by the embodiment of the present invention is as follows: Figure 4 As shown. Figure 4 It can be seen that the injector optimization method provided by the embodiment of the present invention relies on mature CAE structural optimization technology. When the injector optimization method provided by the embodiment of the present invention is used to optimize the injector sample, it can assist engineers to quickly find the root cause of common quality problems, realize multiple rounds of iteration of key structural design parameters within a limited development cycle, design the most cost-effective product, and establish a completely independent forward research and development system for parts in the long term, and continuously improve the market competitiveness of products. Thereby, the quality problem of injectors for alternative fuel vehicles is fully solved.

[0097] An injector optimization system provided in an embodiment of the present invention is introduced below. The injector optimization system described below can be considered as a module architecture for implementing an injector optimization method provided in an embodiment of the present invention; the content described below can be cross-referenced with the above.

[0098] See also Figure 5 , Figure 5 : is a structural block diagram of an injector optimization system provided by an embodiment of the present invention, and the system may include:

[0099] The acquisition unit 10 is used to obtain the fault data of the injector sample, wherein the fault data includes the failure sample report and the operating parameters of the injector sample;

[0100] A first processing unit 20 is used to determine the cause of the failure of the injector sample based on the failure data and a preset problem database;

[0101] The second processing unit 30 is used to reproduce the cause of the fault based on a preset multi-physics field coupling model, in combination with the injector fluid model, the injector mechanical model and the injector electromagnetic model, so as to determine the structural design defects of the injector sample;

[0102] The execution unit 40 is used to generate a structural improvement plan for the injector sample based on the structural design defects.

[0103] Optional, see Figure 6 , Figure 6 FIG. 1 is a structural block diagram of another injector optimization system provided by an embodiment of the present invention. Figure 5 Based on the illustrated embodiment, the system further includes: a generating unit 50;

[0104] The generating unit 50 is used to obtain sample fault data, wherein the sample fault data is a failure sample report and image data of a historical failure sample of the injector; starting from the causes of the failure of the injector, including wear problems and non-wear problems, the sample fault data is logically classified to obtain a correspondence between the causes of the failure of the historical failure sample of the injector and the sample fault data and a solution, wherein the solution is a solution for solving the failure problem of the historical failure sample of the injector; and based on the correspondence, a problem database is generated.

[0105] Optionally, the generating unit 50 is further used to standardize the failure sample report and operating parameters of the injector sample; and update the problem database based on the structural improvement plan and the standardized failure sample report and operating parameters.

[0106] Optionally, the second processing unit 30 is specifically configured to:

[0107] Based on the preset multi-physics field coupling model, combined with the injector fluid model, injector mechanical model and injector electromagnetic model, through multi-physics field coupling simulation, combined with the interaction between electricity, magnetism and fluid when the injector sample is working, the cause of the fault is reproduced.

[0108] Optionally, the execution unit 40 is specifically configured to:

[0109] Based on the structural design defects, determine the structural improvement factors for the injector sample;

[0110] Determine the weight of each structural improvement factor for the injector sample based on the influence of each structural improvement factor on the quality of the improved injector sample;

[0111] Generate structural improvement plans based on weights and preset cost requirements.

[0112] Optionally, the execution unit 40 is more specifically configured to:

[0113] Based on the structural design defects, define the objective function;

[0114] Based on the objective function, the response surface design method is used to determine the structural improvement factors for the injector sample in the design space.

[0115] Optionally, structural improvement factors include: configuration, clearance, spring force and driving method.

[0116] Optionally, an embodiment of the present invention further provides an alternative fuel vehicle, the fuel injector of the alternative fuel vehicle is optimized by the fuel injector optimization method provided in any of the above embodiments.

[0117] Below, reference Figure 7 To describe the electronic device provided by the embodiment of the present application, the electronic device provided by the embodiment may include: at least one processor 100, at least one communication interface 200, at least one memory 300 and at least one communication bus 400;

[0118] In the embodiment of the present invention, the number of the processor 100, the communication interface 200, the memory 300, and the communication bus 400 is at least one, and the processor 100, the communication interface 200, and the memory 300 communicate with each other through the communication bus 400; obviously, Figure 7 The communication connections shown for the processor 100, the communication interface 200, the memory 300, and the communication bus 400 are merely optional;

[0119] Optionally, the communication interface 200 may be an interface of a communication module, such as an interface of a GSM module; the processor 100 may be a central processing unit CPU, or an application specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement an embodiment of the present invention.

[0120] The memory 300 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0121] The processor 100 is specifically used to execute the application program in the memory to implement the steps of the above-mentioned injector optimization method.

[0122] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0123] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0124] It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0125] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0126] It should be understood that the qualifiers "first", "second", "third", "fourth", "fifth" and "sixth" used in the description of the embodiments of the present application are only used to more clearly explain the technical solutions and cannot be used to limit the scope of protection of the present application.

[0127] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A method for optimizing a fuel injector, characterized in that: include: Acquiring fault data of the injector sample, wherein the fault data includes a failure sample report and operating parameters of the injector sample; Determining the cause of the failure of the injector sample based on the failure data and a preset problem database; Based on the preset multi-physics field coupling model, the cause of the fault is reproduced in combination with the injector fluid model, the injector mechanical model and the injector electromagnetic model to determine the structural design defects of the injector sample; Based on the structural design defects, a structural improvement plan for the injector sample is generated.

2. The method according to claim 1, characterized in that The method for generating the question database comprises: Acquiring sample fault data, wherein the sample fault data is a failure sample report and image data of a historical failure sample of the injector; Starting from the two directions of the causes of injector failure, which include wear-related problems and non-wear-related problems, the sample fault data is logically classified to obtain the corresponding relationship between the causes of the failure of the injector historical failure sample and the sample fault data and the solution, wherein the solution is a solution for solving the failure problem of the injector historical failure sample; Based on the corresponding relationship, the question database is generated.

3. The method according to claim 2, characterized in that After generating a structural improvement plan for the injector sample based on the structural design defects, the method further includes: Standardizing the failure sample report and operating parameters of the injector sample; Based on the structural improvement plan and the failure sample report and operating parameters after the standardization process, the problem database is updated.

4. The method according to claim 1, characterized in that The method of reproducing the fault cause based on the preset multi-physics field coupling model, in combination with the injector fluid model, the injector mechanical model and the injector electromagnetic model, includes: Based on the preset multi-physics field coupling model, combined with the injector fluid model, injector mechanical model and injector electromagnetic model, through multi-physics field coupling simulation, combined with the interaction between electricity, magnetism and fluid when the injector sample is working, the cause of the fault is reproduced.

5. The method according to claim 1, characterized in that The generating of a structural improvement plan for the injector sample based on the structural design defects includes: Based on the structural design defects, determining structural improvement factors for the injector sample; Determining the weight of each structural improvement factor for the fuel injector sample based on the degree of influence of each structural improvement factor on improving the quality of the fuel injector sample; Based on the weights and preset cost requirements, the structural improvement plan is generated.

6. The method according to claim 5, characterized in that Determining the structural improvement factors for the injector sample based on the structural design defects includes: Based on the structural design defects, an objective function is defined; Based on the objective function, the response surface design method is used to determine the structural improvement factors for the injector sample in the design space.

7. The method according to claim 6, characterized in that The structural improvement factors include: configuration, gap, spring force and driving method.

8. A fuel injector optimization system, characterized in that: include: A collection unit, used for acquiring fault data of the injector sample, wherein the fault data includes a failure sample report and operating parameters of the injector sample; A first processing unit, configured to determine a fault cause of the injector sample based on the fault data and a preset problem database; A second processing unit is used to reproduce the cause of the fault based on a preset multi-physics field coupling model in combination with an injector fluid model, an injector mechanical model, and an injector electromagnetic model to determine the structural design defects of the injector sample; An execution unit is used to generate a structural improvement plan for the injector sample based on the structural design defects.

9. An alternative fuel vehicle, characterized in that: The fuel injector of the alternative fuel vehicle is optimized by the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; The processor is used to execute the method according to any one of claims 1 to 7.

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