Automobile Reliability Design Method, Device, Equipment and Readable Storage Medium

Abstract

The present application discloses a method, device, apparatus and readable storage medium for automotive reliability design. The method includes the steps of: obtaining historical record data of a product; determining, based on the historical record data, the information to be optimized for the product; determining, based on the information to be optimized, a first design solution and a first test verification solution for improving the reliability of the product; optimizing the product based on the first design solution and the first test verification solution to obtain an optimized product, and performing reliability testing on the optimized product. The present application proposes a mature, systematic and widely applicable method for automotive reliability design.

Description

Technical Field

[0001] This application relates to the field of automobiles, and particularly to an automobile reliability design method, device, apparatus, and readable storage medium. Background Art

[0002] Reliability is the ability of a product to successfully complete its specified functions under specified conditions and within a specified time. With the continuous improvement of the automation level of modern production technologies, people's requirements for product reliability are getting higher and higher. Improving product reliability can effectively prevent failures and obtain higher economic benefits.

[0003] The design and development of reliability involve a very wide range, covering mechanical structures, electronic and electrical appliances, software calibration, production, supplier quality management, and after-sales, etc. However, in the current automotive industry, the design and development of reliability only involve some steps or components, and there is no mature, systematic, and widely applicable design method. Summary of the Invention

[0004] The main purpose of this application is to provide an automobile reliability design method, device, apparatus, and readable storage medium, aiming to provide a set of mature, systematic, and widely applicable design methods for improving automobile reliability.

[0005] Exemplarily, to achieve the above object, this application provides an automobile reliability design method, and the method includes:

[0006] Obtain the historical record data of the product;

[0007] Based on the historical record data, determine the information to be optimized for the product;

[0008] Based on the information to be optimized, determine a first design scheme and a first test verification scheme for improving the reliability of the product;

[0009] Based on the first design scheme and the first test verification scheme, optimize the product to obtain an optimized product, and perform reliability testing on the optimized product.

[0010] Exemplarily, the step of determining a first design scheme and a first test verification scheme for improving the reliability of the product based on the information to be optimized includes:

[0011] Based on the information to be optimized, determine the function to be optimized, and determine the functional module that executes the information to be optimized;

[0012] Perform module analysis on the functional module to determine the first environmental information of the functional module;

[0013] Based on the first environmental information, determine a first design solution and a first test verification solution for improving the reliability of the product.

[0014] Exemplarily, the step of performing module analysis on the functional module to determine the first environmental information of the functional module includes:

[0015] Based on the physical connection process information of the functional module, determine adjacent modules that have a boundary relationship with the functional module;

[0016] Based on the adjacent modules, determine the first environmental information of the functional module, where the first environmental information includes noise factors and interaction relationships.

[0017] Exemplarily, when the first environmental information is the noise factor, the step of determining the first environmental information of the functional module based on the adjacent modules includes:

[0018] Obtain the performance parameters of the functional module and the adjacent modules, analyze the performance parameters, and summarize the noise factors that affect the functional module.

[0019] Exemplarily, when the first environmental information is the interaction relationship, the step of determining the first environmental information of the functional module based on the adjacent modules includes:

[0020] Identify and quantify the interaction between the functional module and the adjacent modules to obtain the interaction relationship between the functional module, the adjacent modules, and the environment.

[0021] Exemplarily, the step of performing reliability detection on the optimized product includes:

[0022] Obtain the first experimental data of the virtual experiment of the optimized product and the second experimental data of the physical experiment;

[0023] Compare the first experimental data and the second experimental data with the historical record data to obtain a first comparison result and a second comparison result respectively, for the R & D personnel to determine whether the reliability of the optimized product has been improved based on the first comparison result and the second comparison result.

[0024] Exemplarily, after the step of optimizing the product based on the first design solution and the first test verification solution to obtain an optimized product and performing reliability detection on the optimized product, it includes:

[0025] When performing reliability detection on the optimized product, if a failed module appears, perform reverse verification on the failed module to obtain a second design solution and a second test verification solution.

[0026] Exemplarily, to achieve the above object, the present application provides an automotive reliability design device, and the automotive reliability design device includes:

[0027] An acquisition module, configured to acquire historical record data of a product;

[0028] A first determination module, configured to determine, based on the historical record data, the information to be optimized of the product;

[0029] A second determination module, configured to determine, based on the information to be optimized, a first design scheme and a first test verification scheme for improving the reliability of the product;

[0030] A detection module, configured to optimize the product based on the first design scheme and the first test verification scheme to obtain an optimized product, and perform reliability detection on the optimized product.

[0031] Exemplarily, to achieve the above object, the present application further provides an automotive reliability design device, and the automotive reliability design device includes a memory, a processor, and an automotive reliability design program stored on the memory and executable on the processor. When the automotive reliability design program is executed by the processor, the steps of the above-mentioned automotive reliability design method are implemented.

[0032] Exemplarily, to achieve the above object, the present application further provides a computer-readable storage medium, and an automotive reliability design program is stored on the computer-readable storage medium. When the automotive reliability design program is executed by the processor, the steps of the above-mentioned automotive reliability design method are implemented.

[0033] In the prior art, the automotive industry only involves the design and development of the reliability of some modules or components, and the first design scheme is only applicable to the part of the modules or components and cannot be applied to other modules or components. In contrast, the solution adopted by the present application is to acquire the historical record data of the product, determine the information to be optimized of the product, and perform module analysis on the information to be optimized step by step, accurately locate the reliability improvement module, optimize the module to obtain an optimized product, and perform tests on the reliability of the optimized product, forming a mature and systematic design method, and this design method can be widely applicable to improving the reliability of products in the automotive industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic flowchart of the first embodiment of the automotive reliability design method of the present application;

[0035] Figure 2 It is a schematic structural diagram of the hardware operating environment involved in the solution of the embodiment of the present application;

[0036] The realization, functional features and advantages of the present application will be further described in conjunction with the embodiments with reference to the accompanying drawings. Detailed implementation manners

[0037] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0038] The embodiments of the present application provide embodiments of an automotive reliability design method. It should be noted that the method of automotive reliability design can be applied to the device of automotive reliability design. The device of automotive reliability design belongs to the equipment of automotive reliability design, and the equipment of automotive reliability design belongs to the system of automotive reliability design.

[0039] The present application provides an automotive reliability design method, with reference to Figure 1 , Figure 1 which is a schematic flowchart of the first embodiment of the automotive reliability design method of the present application. In the embodiments of the automotive reliability design method of the present application, the automotive reliability design method includes:

[0040] Step S10: Obtain the historical record data of the product;

[0041] Step S20: Based on the historical record data, determine the information to be optimized for the product;

[0042] Step S30: Based on the information to be optimized, determine the first design scheme and the first test verification scheme for improving the reliability of the product;

[0043] Step S40: Based on the first design scheme and the first test verification scheme, optimize the product to obtain an optimized product, and perform reliability detection on the optimized product.

[0044] The specific steps are as follows:

[0045] Step S10: Obtain the historical record data of the product.

[0046] In this embodiment, the product includes a whole vehicle, electronic devices, mechanical connection devices, etc., and is not specifically limited.

[0047] Exemplarily, the historical record data includes the historical record data of this product and the historical record data of competing products.

[0048] Exemplarily, historical record data of this product and market competitors are obtained, where the historical record data includes the product's historical problems, user usage data, market demands, technological development trends, etc., and is not specifically limited. For example, a car body-in-white mainly includes front fenders, doors, hoods, and trunk lids. When designing a solution to improve the reliability of the body-in-white, historical record data such as the overall sealing performance, anti-corrosion performance, collision performance, and body stiffness of this product and market competitor body-in-whites, as well as the anti-corrosion performance, collision performance, stiffness, etc. of components such as front fenders, doors, hoods, and trunk lids are obtained.

[0049] Exemplarily, before obtaining the historical record data of the product, it includes: forming a team.

[0050] In this embodiment, as a whole vehicle product, a car includes several major systems such as the body, chassis, and power. The body, chassis, etc. can be further decomposed into subsystems, and the subsystems can be further decomposed into sub-assemblies. When designing a solution to improve the reliability of the car, first, R & D engineers such as those for the chassis, electrical appliances, body, interior and exterior trims, and powertrain are required. Secondly, test personnel, as well as other supporting personnel such as those for procurement, quality, after-sales, SQE, and finance and project management are needed.

[0051] Step S20, based on the historical record data, determine the information to be optimized for the product.

[0052] In this embodiment, the information to be optimized includes mechanical structure information, electronic device parameter information, product production, transportation, sales, and after-sales service information, etc., and is not specifically limited.

[0053] Exemplarily, analyze the historical problems, potential problems, and technological trends of this product, and conduct a horizontal comparison of the performance, quality, price, market demand, service, etc. of the whole and components of this product and competitors to obtain the information to be optimized for the product. For example, after performance testing of the body-in-white, analyzing user feedback usage data, and conducting a vertical comparison with the historical record data of competitor body-in-whites, it is determined that the information to be optimized for this product is to optimize the NVH (Noise, Vibration, Harshness) performance.

[0054] Step S30, based on the information to be optimized, determine the first design solution and the first test verification solution for improving the reliability of the product.

[0055] In this embodiment, through module analysis of the information to be optimized, gradually analyze from the whole to the system to the module to the components to determine the reliability improvement modules, and continuously check and update to obtain the first design solution. The first design solution is set according to the needs of different products, and is not specifically limited in this embodiment.

[0056] Exemplarily, the first test verification scheme is set according to different products, and no specific limitation is made in this embodiment.

[0057] Exemplarily, determining a first design scheme and a first test verification scheme for improving the reliability of the product based on the information to be optimized includes:

[0058] Step a: Based on the information to be optimized, determine the function to be optimized and determine the functional module that executes the information to be optimized.

[0059] In this embodiment, the information to be optimized is related to the function of the product. When the function fails, there is information to be optimized. That is, when there is information to be optimized, it is necessary to optimize its corresponding function. By performing functional analysis on the information to be optimized, determine the function to be optimized of the product, and determine the module or component that executes the function to be optimized through the function to be optimized. For example, the information to be optimized for the white body is to optimize the NVH performance. Perform functional analysis on this information to be optimized, and determine that the functions to be optimized for optimizing the NVH performance include sealing, sound insulation, vibration isolation, and frequency matching. If the sound insulation effect of the white body is optimized, it is necessary to optimize the sound insulation and sound absorption effects of parts such as doors, rear side panels, and trunks, and optimize the sound insulation effects of the inner side of the roof and the inner side of the engine hood.

[0060] Specifically, the functional analysis includes: determining the function, that is, expressing the function or role of the product with accurate and concise vocabulary; functional arrangement, that is, clarifying the scope and determining the module or component that executes each function; functional evaluation, that is, calculating the ratio of the required cost to the actual cost of a specific function, and ranking the value of each function based on this ratio. The larger the ratio, the higher the value, and the economic effect is improved.

[0061] Step b: Perform module analysis on the functional module to determine the first environmental information of the functional module.

[0062] In this embodiment, the automobile is a large assembly, and there are complex interaction relationships with other modules, and there will be more and more complex problems. Moreover, due to changes in conditions such as vehicle models and usage areas, the first environmental information of the same module also changes accordingly.

[0063] Exemplarily, the module analysis includes boundary diagram analysis, parameter diagram analysis, and interaction matrix analysis.

[0064] Exemplarily, performing module analysis on the functional module to determine the first environmental information of the functional module includes:

[0065] Step b1: Based on the physical connection process information of the functional module, determine the adjacent modules that have a boundary relationship with the functional module.

[0066] Exemplarily, the physical connection process information includes bolt connection, suction connection, button connection, self-structure connection, welding, and bonding.

[0067] In this embodiment, by statistically analyzing the physical connection process information of a functional module or functional component and the surrounding modules, the survival environment of the functional module and the boundary relationship with other components are determined. For example, in a body-in-white assembly, the front-end module, rear-end module, left-side module, right-side module, roof module, and floor module are connected to each other by welding. The windshield is connected to the front-end module, rear-end module, and left-side module by bonding. Components such as seats, headlights, tipping mechanisms, and instrument panels are connected to the floor module by bolts.

[0068] Step b2 determines the first environmental information of the functional module based on the adjacent modules, where the first environmental information includes noise factors and interaction relationships.

[0069] Exemplarily, the determining of the first environmental information of the functional module based on the adjacent modules, where the first environmental information includes noise factors and interaction relationships, includes:

[0070] Step b21 obtains the performance parameters of the functional module and the adjacent modules, analyzes the performance parameters, and summarizes the noise factors that affect the functional module.

[0071] Exemplarily, the parameters include the self-performance, usage environment, driving environment, control factors, system interaction, etc. of the functional module, which are not specifically limited in this embodiment. For example, the parameters in terms of the driving environment include temperature, humidity, and pollutants.

[0072] Step b22 identifies and quantifies the interactions between the functional module and the adjacent modules and the environment to obtain the interaction relationships between the functional module and the adjacent modules and the environment.

[0073] In this embodiment, an interaction matrix analysis is performed on the functional module to determine the interaction relationships and interaction intensities between the functional module and the adjacent systems and the environment.

[0074] Exemplarily, the interactions include the connection form, connection quantity, energy transfer form, and transfer direction between the functional module and the adjacent modules and the environment. For example, in a body-in-white assembly, the connection form between the door and the side panel assembly is physical contact, the number of physical contacts is 9, and the connection form between the door and the side panel assembly also includes energy exchange, and the type of energy exchange is 1.

[0075] Exemplarily, after the module analysis of the functional module to determine the first environmental information of the functional module, it includes:

[0076] Step c, based on the first environmental information, determine a first design solution and a first test verification solution for improving the reliability of the product.

[0077] Exemplarily, the determining a first design solution and a first test verification solution for improving the reliability of the product based on the first environmental information includes:

[0078] Step c1, perform a robustness analysis on the first environmental information, update the first environmental information, and obtain second environmental information.

[0079] Obtain the first environmental information through module analysis, check the first environmental information, and check whether there is any missing environmental information that affects the module or component to be optimized. If there is environmental information that affects the module or component to be optimized but is not included in the first environmental information, then update the first environmental information to obtain the second environmental information.

[0080] Step c2, based on the second environmental information, obtain a first design solution and a first test verification solution for improving the reliability of the product.

[0081] In this embodiment, by analyzing the information to be optimized, obtain the function to be optimized, and further determine the module or component to be optimized. The module or component to be optimized is affected by its own performance and the environment. Based on the second environmental information, analyze the influencing factors of the performance of the module or component to be optimized itself and the environment on it, design a first design solution that can optimize the performance of the module or component itself and weaken the adverse effects of the environment on it, and design a corresponding first test verification solution to verify the feasibility of improving the reliability of the product by this first design solution. For example, when improving the anti-corrosion performance of a white body in white, perform module analysis on it, and determine that the influencing factors of the anti-corrosion performance of the white body in white are the electrophoretic coating thickness in the inner cavity of the sheet metal and the overlapping area of the sheet metal blocks. Then the first design solution includes increasing the electrophoretic film thickness in the inner cavity of the sheet metal by combining with the cost, reducing the large-area zero paste of the sheet metal blocks, and design a first test verification solution for this first design solution. The first test verification solution includes using QC / T732-2005 as the test standard, taking 8 basic working conditions including service braking, parking on slope, salt spray, driving on a strengthened corrosion road, driving on a reliability road, car washing, drying, and high-temperature and high-humidity chamber (temperature 50°C, humidity 98%) as a test cycle, and performing tests with 24 hours as 1 test cycle to test the anti-corrosion ability of the optimized product.

[0082] Step S40, based on the first design solution and the first test verification solution, optimize the product to obtain an optimized product, and perform a reliability test on the optimized product.

[0083] Exemplarily, the performing a reliability test on the optimized product includes:

[0084] Step d: Obtain the first experimental data of the virtual experiment of the optimized product and the second experimental data of the physical experiment.

[0085] In this embodiment, the virtual experiment is an advanced computer test simulation technology. The first experimental data of the product is obtained, and a simulation model is established to replace all or part of the hardware to implement various virtual test environments, and the first experimental data close to or equivalent to the real test is obtained. The test scheme is set according to different products and is not specifically limited in this embodiment. For example, in the virtual fatigue test of an automotive white body, analysis models are established for the body, suspension, and tires as modules in a VPG (Virtual Proving Ground) environment, and each assembly is assembled and debugged. At the same time, referring to GB7031, a reliability-level road surface is created and verified using the harmonic superposition method, and a complete virtual test field simulation model is constructed together with the vehicle model. Among them, the size range of the scene model meets the requirements of the driving distance of the test vehicle, and the fatigue life of the body opening parts under this level of road surface before and after the improvement of the support structure is calculated.

[0086] Exemplarily, the physical experiment includes component tests and vehicle tests on actual road conditions. The test scheme is set according to different products and is not specifically limited in this embodiment. For example, in the physical fatigue test of a white body, the component tests include the six-degree-of-freedom test of the body assembly, the door opening and closing durability test, and the white body torsional fatigue test. After obtaining the data of the component tests, a vehicle test is carried out, and the vehicle test includes the vehicle four-pillar lift test, the comprehensive reliability road test, and the customer condition durability test.

[0087] Step e: Compare the first experimental data and the second experimental data with the historical record data to obtain a first comparison result and a second comparison result respectively, so that R & D personnel can determine whether the reliability of the optimized product has been improved based on the first comparison result and the second comparison result.

[0088] Compare the historical data of the virtual experiment before optimization with the first experimental data of the virtual experiment after optimization to obtain a first comparison result. Compare the second experimental data of the components and the third experimental data of the vehicle in the physical experiment before optimization to obtain a second comparison result and a third comparison result. R & D personnel comprehensively consider the first comparison result, the second comparison result, and the third comparison result to determine whether the reliability of the optimized product has been improved. For example, after optimizing the support structure of a white body, the life of the optimized structure in the virtual experiment and the physical experiment is significantly improved, and both pass the subsequent road tests. Then, R & D personnel can determine through this result that the first design scheme can effectively improve the product performance and enhance the reliability of the vehicle.

[0089] In the prior art, the reliability design and development in the automotive industry only involve some modules or components, and the first design solution is only applicable to the said partial modules or components and cannot be applied to other modules or components. In contrast, the solution adopted in this application is to obtain the historical record data of the product, determine the information to be optimized for the product, and conduct module analysis on the information to be optimized step by step, accurately locate the modules for reliability improvement, optimize the modules to obtain an optimized product, and conduct tests on the reliability of the optimized product, thus forming a mature and systematic design method, and this design method can be widely applied to improving the reliability of automotive industry products.

[0090] Exemplarily, based on the first embodiment of the automotive reliability design method of this application above, a second embodiment is proposed. The method includes:

[0091] Step f, when conducting reliability detection on the optimized product, if a failed module appears, conduct reverse verification on the failed module to obtain a second design solution and a second test verification solution.

[0092] In this embodiment, an automobile involves a large number of components. When improving the reliability of an automobile, there may be a situation where not all problems can be optimized through one design solution, and failure problems may occur during the process of conducting reliability verification experiments. Then, it is necessary to conduct reverse verification on the first design solution or the first test verification solution, and gradually optimize to obtain a second design solution and a second test verification solution.

[0093] Exemplarily, the failure problems include wear failure, deformation failure, fatigue failure, corrosion failure, etc., and this embodiment does not make specific limitations.

[0094] When conducting reverse verification, first analyze the failure cause, determine the second information to be optimized, conduct module analysis on the second information to be optimized, and obtain a second design solution and a second test verification solution. The specific implementation manner is basically the same as that of the above first embodiment and will not be elaborated here.

[0095] Compared with the prior art where the design solutions for improving the reliability of automobiles only involve some methods, in addition to the forward design solution for improving the reliability of automobiles, this solution also conducts reverse verification on the failed modules in the first design solution, gradually improves the accuracy of the second design solution and the second test verification solution by updating the adjacent modules of the functional modules and updating the noise factors and interaction relationships of the functional modules through the adjacent modules.

[0096] Exemplarily, to achieve the above object, this application provides an automotive reliability design device. The automotive reliability design device includes:

[0097] An acquisition module, used for acquiring the historical record data of the product;

[0098] A first determination module, configured to determine the information to be optimized for the product based on the historical record data;

[0099] A second determination module, configured to determine a first design solution and a first test verification solution for improving the reliability of the product based on the information to be optimized;

[0100] A detection module, configured to optimize the product based on the first design solution and the first test verification solution to obtain an optimized product, and perform reliability detection on the optimized product.

[0101] Exemplarily, the second determination module includes:

[0102] A first determination sub-module, configured to determine the function to be optimized based on the information to be optimized, and determine the functional module that executes the information to be optimized;

[0103] A second determination sub-module, configured to perform module analysis on the functional module to determine the first environmental information of the functional module;

[0104] A third determination sub-module, configured to determine a first design solution and a first test verification solution for improving the reliability of the product based on the first environmental information.

[0105] Exemplarily, the second determination sub-module includes:

[0106] A first determination unit, configured to determine the adjacent modules having a boundary relationship with the functional module based on the physical connection process information of the functional module;

[0107] A second determination unit, configured to determine the first environmental information of the functional module based on the adjacent modules, where the first environmental information includes noise factors and interaction relationships.

[0108] Exemplarily, the second determination unit includes:

[0109] An acquisition subunit, configured to acquire the performance parameters of the functional module and the adjacent modules, analyze the performance parameters, and summarize the noise factors that affect the functional module;

[0110] An identification subunit, configured to identify and quantify the interaction between the functional module and the adjacent modules to obtain the interaction relationship between the functional module and the adjacent modules and the environment.

[0111] Exemplarily, the detection module includes:

[0112] An acquisition sub-module, configured to acquire the first experimental data of the virtual experiment of the optimized product and the second experimental data of the physical experiment;

[0113] A comparison sub-module, configured to compare the first experimental data and the second experimental data with historical record data, respectively obtaining a first comparison result and a second comparison result, for a R & D personnel to determine whether the reliability of the optimized product is improved based on the first comparison result and the second comparison result.

[0114] Exemplarily, to achieve the above object, the present application provides an automotive reliability design device, the automotive reliability design device further includes:

[0115] A verification module, configured to, when performing a reliability test on the optimized product, if a failure module appears, perform reverse verification on the failure module to obtain a second design solution and a second test verification solution.

[0116] The specific implementation manner of the automotive reliability design device of the present application is basically the same as that of each embodiment of the above automotive reliability design method, and will not be elaborated herein.

[0117] In addition, the present application further provides an automotive reliability design device. As Figure 2 shown, Figure 2 is a schematic structural diagram of a hardware operating environment involved in the solution of an embodiment of the present application.

[0118] Exemplarily, Figure 2 it can be a schematic structural diagram of a hardware operating environment of an automotive reliability design device.

[0119] As Figure 2 shown, the automotive reliability design device may include a processor 201, a communication interface 202, a memory 203, and a communication bus 204. Among them, the processor 201, the communication interface 202, and the memory 203 communicate with each other through the communication bus 204. The memory 203 is used to store a computer program. The processor 201 is configured to, when executing the program stored in the memory 203, implement the steps of automotive reliability design.

[0120] The communication bus 204 mentioned in the above automotive reliability design device may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus 204 can be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, only a thick line is shown in the figure, but it does not mean that there is only one bus or one type of bus.

[0121] The communication interface 202 is used for communication between the above automotive reliability design device and other devices.

[0122] The memory 203 may include a Random Access Memory (RAM), and may also include a non-volatile memory (NM), such as at least one disk memory. Optionally, the memory 203 may also be at least one storage device located far from the aforementioned processor 201.

[0123] The aforementioned processor 201 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0124] The specific implementation manner of the passive visible light positioning device of this application is basically the same as that of each embodiment of the above-mentioned automotive reliability design method, and will not be elaborated here.

[0125] In addition, an embodiment of this application also proposes a computer-readable storage medium, on which an automotive reliability design program is stored. When the automotive reliability design program is executed by a processor, the steps of the automotive reliability design method described above are implemented.

[0126] The specific implementation manner of the computer-readable storage medium of this application is basically the same as that of each embodiment of the above-mentioned automotive reliability design method, and will not be elaborated here.

[0127] It should be noted that in this article, the term "including", "comprising", or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article, or device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of another identical element in the process, method, article, or device including that element.

[0128] The serial numbers of the above embodiments of this application are only for description and do not represent the superiority or inferiority of the embodiments.

[0129] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described example methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, device, or network device, etc.) to execute the methods described in the various embodiments of the present application.

[0130] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. An automotive reliability design method, characterized in that, the method comprises the following steps: Obtain the historical record data of this product and the historical record data of the competing products of this product; Conduct a horizontal comparison of the historical record data of this product and the competing products to determine the information to be optimized for this product; Based on the information to be optimized, determine a first design plan and a first test verification plan for improving the reliability of this product. Among them, the first design plan is determined based on the second environmental information of the functional module corresponding to the information to be optimized. The second environmental information is obtained by updating the first environmental information based on the environmental information that is not included in the first environmental information but affects the functional module. The first environmental information includes interaction relationships. Among them, identify and quantify the interactions between the functional module and adjacent modules and the environment to obtain the interaction relationships between the functional module and adjacent modules and the environment. Among them, based on the physical connection process information of the functional module, determine the adjacent modules that have a boundary relationship with the functional module; Based on the first design plan and the first test verification plan, optimize this product to obtain an optimized product, and conduct reliability testing on the optimized product.

2. The automotive reliability design method according to claim 1, characterized in that, Based on the information to be optimized, determining a first design plan and a first test verification plan for improving the reliability of this product includes: Based on the information to be optimized, determine the function to be optimized and determine the functional module that executes the information to be optimized; Conduct a module analysis on the functional module to determine the first environmental information of the functional module; Based on the first environmental information, determine a first design plan and a first test verification plan for improving the reliability of this product.

3. The automotive reliability design method according to claim 2, characterized in that, The conducting a module analysis on the functional module to determine the first environmental information of the functional module includes: Based on the physical connection process information of the functional module, determine the adjacent modules that have a boundary relationship with the functional module; Based on the adjacent modules, determine the first environmental information of the functional module, where the first environmental information includes noise factors and interaction relationships.

4. The automotive reliability design method according to claim 3, characterized in that, The first environmental information is the noise factor. The determining the first environmental information of the functional module based on the adjacent modules includes: Obtain the performance parameters of the functional module and the adjacent modules, analyze the performance parameters and summarize the noise factors that affect the functional module.

5. The automotive reliability design method according to claim 3, characterized in that, The first environmental information is the interaction relationship. The determining the first environmental information of the functional module based on the adjacent modules includes: Identify and quantify the interactions between the functional module and adjacent modules to obtain the interaction relationships between the functional module and adjacent modules and the environment.

6. The automotive reliability design method according to claim 1, characterized in that, Perform reliability testing on the optimized product as described above, including: Obtain the first experimental data of the virtual experiment of the optimized product and the second experimental data of the physical experiment; Compare the first experimental data and the second experimental data with the historical record data to obtain a first comparison result and a second comparison result respectively, for the R & D personnel to determine whether the reliability of the optimized product has been improved based on the first comparison result and the second comparison result.

7. The automotive reliability design method according to claim 1, characterized in that After optimizing the product based on the first design scheme and the first test verification scheme to obtain an optimized product and performing reliability testing on the optimized product, it includes: When performing reliability testing on the optimized product, if a failed module appears, perform reverse verification on the failed module to obtain a second design scheme and a second test verification scheme.

8. An automotive reliability design device, characterized in that The device includes: An acquisition module for acquiring the historical record data of the product and the historical record data of the competing products of the product; A first determination module for performing a horizontal comparison on the historical record data of the product and the competing products to determine the information to be optimized for the product; A second determination module for determining a first design scheme and a first test verification scheme for improving the reliability of the product based on the information to be optimized, wherein the first design scheme is determined based on the second environmental information of the functional module corresponding to the information to be optimized, and the second environmental information is obtained by updating the first environmental information based on the environmental information that is not included in the first environmental information but affects the functional module, and the first environmental information includes interaction relationships; wherein, identify and quantify the interactions between the functional module and adjacent modules and the environment to obtain the interaction relationships between the functional module and adjacent modules and the environment; wherein, based on the physical connection process information of the functional module, determine the adjacent modules that have a boundary relationship with the functional module; A detection module for optimizing the product based on the first design scheme and the first test verification scheme to obtain an optimized product and performing reliability testing on the optimized product.

9. An automotive reliability design device, characterized in that The device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, characterized in that when the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that An automotive reliability design program is stored on the storage medium, and when the automotive reliability design program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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