Whole vehicle modular design method and system, electronic equipment and computer storage medium

Abstract

The invention relates to a whole vehicle modular design method and system, electronic equipment and a computer storage medium, and the method comprises the steps: determining the classification level of a standard part based on the characteristics of the standard part; determining the importance level of the whole vehicle block based on the whole vehicle block attribute; making a standard component modularization selection rule by using the standard component classification level and the whole vehicle block importance level; and mathematical modeling is carried out on the standard component modularization selection rule, and a standard component model selection decision model is constructed. According to the method, the standardization level and the safety performance of whole vehicle design are improved by constructing the standard part type selection decision model.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile whole vehicle design, and in particular to a whole vehicle modular design method, system, electronic equipment and computer storage medium. Background Art

[0002] The development of a complete vehicle usually requires more than 5,000 parts from multiple professional systems, and each system uses different specifications and types of standard parts. For example, some systems prefer hexagonal head bolts, some use cross pan heads, and some use hexagon socket bolts. This leads to a large number of redundant standard parts in the vehicle BOM structure, which brings high costs and complexity to procurement, manufacturing, maintenance and other links.

[0003] In the process of developing new products, existing mainstream vehicle manufacturers usually rely on experience to guide the selection of standard parts. Due to the lack of unified standards among different designers, different standard parts of different specifications are often repeatedly selected for the same functional position, which restricts the modularization, serialization and generalization of the vehicle. In addition, the existing selection of standard parts is relatively extensive, ignoring the impact of key factors such as safety. Some parts with higher safety requirements, such as engine suspension, may be selected with ordinary-grade standard parts, which poses certain potential safety hazards.

[0004] Therefore, how to balance the cost and safety requirements in vehicle design is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of this, it is necessary to provide a vehicle modular design method, system, electronic equipment and computer storage medium to balance the cost and safety requirements in vehicle design.

[0006] In order to solve the above problems, in a first aspect, the present invention provides a vehicle modular design method, comprising: Determine the classification level of standard parts based on the characteristics of standard parts; Determine the importance level of the vehicle block based on the attributes of the vehicle block; Formulate standard parts modular selection rules using the standard parts classification levels and the vehicle block importance levels; Mathematical modeling is performed on the modular selection rules of standard parts, a standard parts selection decision model is constructed, and modular design of the entire vehicle is performed based on the standard parts selection decision model.

[0007] In a possible implementation, determining the classification level of standard parts based on the characteristics of the standard parts includes: Based on the characteristics of standard parts, the standard parts grades are divided into special grade, primary grade, secondary grade, good grade, general grade, and secondary grade from high to low. The standard parts characteristics include strength, durability and protection level. Each standard parts grade can be divided into different categories according to the model.

[0008] In a possible implementation, determining the importance level of the vehicle block based on the importance of the vehicle block includes: Based on the importance factors of the whole vehicle blocks, the importance levels of the whole vehicle blocks are divided into critical safety level, important reliability level, general use level and non-functional level. Among them, the importance factors of the whole vehicle blocks include weight stress factors, functional importance factors, harsh environment factors and maintenance difficulty factors.

[0009] In a possible implementation, the formulating of standard parts modular selection rules using the standard parts classification level and the vehicle block importance level includes: Critical safety-level components use special-level and primary-level standard parts, important reliability-level components use primary-level, secondary-level and good-level standard parts, general-use-level components use good-level and general-level standard parts, and non-functional-level components use general-level and secondary-level standard parts.

[0010] In a possible implementation, mathematical modeling of modular selection rules for standard parts to construct a standard parts selection decision model includes: According to the modular selection rules of standard parts, the objective function and constraint conditions are designed to obtain the mathematical model; The mathematical model is solved based on a preset solution algorithm to obtain a standard part selection model.

[0011] In a possible implementation, the preset solution algorithm is an ant colony algorithm, and solving the mathematical model based on the preset solution algorithm includes: Initialize a preset number of individuals and randomly assign them to each block; Calculate the fitness value of each individual based on the modular selection rules of standard parts, and migrate between blocks according to the probability of the fitness value to select new types of standard parts; Record the individual with the highest fitness until the global optimal solution is found.

[0012] In a possible implementation, the method further includes: Set up an approval process for standard parts that cannot be processed by the standard parts selection decision model.

[0013] In a second aspect, the present invention further provides a vehicle modular design device, comprising: A first level determination module, used to determine the classification level of standard parts based on the characteristics of the standard parts; A second level determination module, used to determine the importance level of the whole vehicle block based on the attributes of the whole vehicle block; A rule-making module, used to make standard parts modular selection rules by using the standard parts classification level and the vehicle block importance level; The model building module is used to mathematically model the modular selection rules of the standard parts, build a standard parts selection decision model, and perform modular design of the entire vehicle based on the standard parts selection decision model.

[0014] In a third aspect, the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the above-mentioned vehicle modular design method when executing the computer program.

[0015] In a fourth aspect, the present invention further provides a computer storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned vehicle modular design method are implemented.

[0016] The beneficial effects of the present invention are as follows: the present invention determines the classification level of standard parts through the characteristics of standard parts, determines the importance level of vehicle blocks through the attributes of vehicle blocks, reasonably divides the classification level of standard parts, combines the classification data of vehicle block attributes, formulates scientific modular selection rules, and finally mathematically models the modular selection rules to construct a standard parts selection decision model, so as to improve the standardization level and safety performance of vehicle design. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A method flow chart of an embodiment of a vehicle modular design method provided by the present invention; Figure 2 for Figure 1 A method flow chart of an embodiment of step S104; Figure 3 A schematic structural diagram of an embodiment of a vehicle modular design method provided by the present invention; Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0020] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" and "second" may explicitly or implicitly include at least one of the features.

[0021] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] The specific embodiments are described in detail below: See also Figure 1 , Figure 1 A schematic diagram of a flow chart of an embodiment of a vehicle modular design method provided by the present invention. A specific embodiment of the present invention discloses a robot processing feasibility judgment method, including: Step 101: Determine the classification level of standard parts based on the characteristics of the standard parts; Step 102: Determine the importance level of the vehicle block based on the attributes of the vehicle block; Step 103: Formulate standard parts modular selection rules using standard parts classification levels and vehicle block importance levels; Step 104: mathematically modeling the standard parts modular selection rules, constructing a standard parts selection decision model, and performing vehicle modular design based on the standard parts selection decision model.

[0023] The present invention determines the classification level of standard parts through the characteristics of standard parts, determines the importance level of vehicle blocks through the attributes of vehicle blocks, reasonably divides the classification level of standard parts, combines the classification data of vehicle block attributes, formulates scientific modular selection rules, and finally mathematically models the modular selection rules to construct a standard parts selection decision model, so as to improve the standardization level and safety performance of vehicle design.

[0024] In one embodiment of the present invention, determining the classification level of standard parts based on the characteristics of the standard parts includes: Based on the characteristics of standard parts, the grades of standard parts are divided into special grade, primary grade, secondary grade, good grade, general grade and secondary grade from high to low. Among them, the characteristics of standard parts include strength, durability and protection level. Each standard part grade can be divided into different categories according to the model.

[0025] It is understandable that the characteristics of standard parts include strength, durability and protection level, which are divided into 6 levels from high to low according to the characteristics of standard parts: A0 is a special grade, A1 is a first grade, A2 is a second grade, B is a good grade, C is a general grade, and D is a secondary grade. Each grade is further divided into several subcategories according to the model. For example, grade A0 is a standard part for high-temperature resistant alloys, protective coatings, and ultra-high strength, grade A1 is a standard part for stainless steel, high strength / hardness, corrosion and wear resistance, grade A2 is a standard part for high-quality carbon steel, high strength / hardness, grade B is a standard part for ordinary carbon steel, medium strength / hardness, grade C is a standard part for ordinary low-carbon steel, lower strength / hardness, and grade D is a standard part for ordinary iron / aluminum / plastic and other low-cost and easy-to-disassemble materials. The classification and grade system straightens out the hierarchical affiliation of standard parts to avoid chaotic application.

[0026] In one embodiment of the present invention, determining the importance level of the vehicle block based on the importance of the vehicle block includes: Based on the importance factors of the whole vehicle blocks, the importance levels of the whole vehicle blocks are divided into critical safety level, important reliability level, general use level and non-functional level. Among them, the importance factors of the whole vehicle blocks include weight stress factors, functional importance factors, harsh environment factors and maintenance difficulty factors.

[0027] It is understandable that all the blocks of the vehicle can be classified into critical safety blocks, ordinary blocks, low-requirement blocks, etc. according to their importance levels. Factors to be considered include weight, force, protection, environment and other dimensions. For example, in the weight and force factors, the greater the weight and the higher the force, the higher the level, such as the engine assembly belongs to the critical safety level block. Among the important functional factors, the greater the impact on operational safety or cost, the more important it is, such as the brake components belong to the critical safety level block. Among the harsh environmental factors, the worse the working environment temperature, corrosion and other factors, the higher the requirement level. Among the factors of maintenance difficulty, the smaller the maintenance space and the more difficult the disassembly and assembly, the higher the requirement level.

[0028] In one embodiment of the present invention, the standard parts classification level and the vehicle block importance level are used to formulate standard parts modular selection rules, including: Critical safety-level components use special-level and primary-level standard parts, important reliability-level components use primary-level, secondary-level and good-level standard parts, general-use-level components use good-level and general-level standard parts, and non-functional-level components use general-level and secondary-level standard parts.

[0029] It is understandable that the hierarchical selection rules for standard parts are formulated according to the characteristics of each standard part grade and the importance level of the whole vehicle module. Specifically: For key safety modules, the highest special grade standard parts must be selected. When the standard parts are divided into grades and the hierarchical selection rules are followed during the design of a certain whole vehicle model, it can be found that at different levels of modules, the standard parts used are concentrated at the corresponding level, and there is no confusion such as the use of high-level standard parts in low-level modules. In addition, the hierarchical selection rules organically combine key performance requirements with factors such as cost, ensuring that what is necessary must be excellent, eliminating waste of resources, and greatly improving the level of standardization.

[0030] In one embodiment of the present invention, Figure 2 As shown, Figure 2 for Figure 1 The method flow chart of step 104 of an embodiment includes: Step 1041: designing objective functions and constraints according to the modular selection rules of standard parts to obtain a mathematical model; Step 1042: Solve the mathematical model based on a preset solution algorithm to obtain a standard part selection model.

[0031] Among them, the objective function is to minimize the total number of referenced standard parts types Z in the vehicle design, min(Z). The constraint condition is that all blocks meet the standard parts classification selection rules. Introducing the decision variable X={X1,X2,...Xn} to represent the standard parts type combination scheme, the objective function can be expressed as: min(Z)=min(Σ(aiXi)), where ai is the number of standard parts used. For each block Bj, let the standard parts level requirement be Lev(Bj), then there is a constraint condition: Xi∈{Lk|Level(Lk)>=Lev(Bj)}, that is, for block Bj, only standard parts with a level not lower than its required level can be selected.

[0032] The objective function can also be that the selected level meets the performance requirements. For example, for chunks with large weight, high-strength materials and standard parts with good anti-loosening performance should be selected; for harsh installation environments, standard parts with high reliability should be selected; for narrow spaces, small-sized standard parts that are convenient to operate should be selected; for important components, special-shaped tool disassembly and assembly standard parts should be selected; appropriate specifications of standard parts should be selected according to the specified length intervals of the system. And weights wi (Σwi = 1) are assigned to each influencing factor Fi, and the value range Fi = {0, 1} is defined, where 0 means the factor is not satisfied and 1 means it is satisfied. Taking a certain chunk j as an example, record its weight / installation / maintenance / anti-theft / length specification attributes as Fj1, Fj2, Fj3, Fj4, and Fj5 respectively. Let the objective function Zj = w1Fj1 + w2Fj2 + w3Fj3 + w4Fj4 + w5 * Fj5, then the corresponding standard part selection sj is: if Zj >= Z0 (threshold), then sj belongs to the modular standard part set A; if Zj < Z0, then sj can be used only after approval. By establishing a standard part selection decision model, the intelligence and modularization of standard part selection are realized, which can greatly improve the automation level and efficiency of standard part selection and effectively reduce the selection redundancy.

[0033] In an embodiment of the present invention, the preset solution algorithm is the ant colony algorithm, and the mathematical model is solved based on the preset solution algorithm, including: Initialize a preset number of individuals and randomly allocate them to each chunk; Calculate the fitness value of each individual based on the modular selection rules of standard parts and migrate between chunks according to the probability of the fitness value to select new types of standard parts; Record the individual with the highest fitness value until the global optimal solution is found.

[0034] It can be understood that compared with the situation where thousands of types of standard parts may appear in the traditional selection process, the present invention greatly compresses the types used through hierarchical levels and the ant colony algorithm, and finally the types of standard parts involved are reduced, reducing the operation complexity.

[0035] In an embodiment of the present invention, the above method further includes: Set an approval process for the standard parts that cannot be processed by the standard part selection decision model.

[0036] It can be understood that by setting an approval process for the standard parts that cannot be processed by the standard part selection decision model, key factors such as safety and reliability can be taken into consideration at the same time, reflecting the management concept of combining standardization and refinement, and coordinating science and flexibility. The standardization level and safety performance of the whole vehicle system are improved to the greatest extent.

[0037] In order to better implement the whole vehicle modular design method in the embodiments of the present invention, correspondingly, on the basis of the whole vehicle modular design method, such as Figure 3As shown, the embodiment of the present invention further provides a vehicle modular design device, and the vehicle modular design device 300 includes: A first level determination module 301 is used to determine the classification level of standard parts based on the characteristics of the standard parts; A second level determination module 302, for determining the importance level of the vehicle block based on the attributes of the vehicle block; A rule formulation module 303 is used to formulate standard parts modular selection rules using standard parts classification levels and vehicle block importance levels; The model building module 304 is used to mathematically model the modular selection rules of standard parts and build a standard part selection decision model.

[0038] The vehicle modular design device 300 provided in the above embodiment can implement the technical solution described in the above embodiment of the vehicle modular design method. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the vehicle modular design method, which will not be repeated here.

[0039] like Figure 4 As shown, the present invention also provides an electronic device 400. The electronic device 400 includes a processor 401, a memory 402 and a display 403. Figure 4 Only some components of the electronic device 400 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0040] In some embodiments, the processor 401 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 402, such as the vehicle modular design method of the present invention.

[0041] In some embodiments, processor 401 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, processor 401 may be local or remote. In some embodiments, processor 401 may be implemented in a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0042] In some embodiments, the memory 402 may be an internal storage unit of the electronic device 400, such as a hard disk or memory of the electronic device 400. In other embodiments, the memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the electronic device 400.

[0043] Furthermore, the memory 402 may include both an internal storage unit of the electronic device 400 and an external storage device. The memory 402 is used to store application software installed in the electronic device 400 and various data.

[0044] In some embodiments, the display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 403 is used to display information of the electronic device 400 and to display a visual user interface. The components 401-403 of the electronic device 400 communicate with each other via a system bus.

[0045] In some embodiments, when the processor 401 executes the vehicle modular design program in the memory 402, the following steps may be implemented: Determine the classification level of standard parts based on the characteristics of standard parts; Determine the importance level of the vehicle block based on the attributes of the vehicle block; Formulate modular selection rules for standard parts using standard parts classification levels and vehicle component importance levels; Mathematical modeling is performed on the modular selection rules of standard parts to build a standard parts selection decision model.

[0046] It should be understood that: when the processor 401 executes the vehicle modular design program in the memory 402, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0047] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 400 mentioned, and the electronic device 400 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic devices may 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 present invention, the electronic device 400 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0048] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the steps or functions in the vehicle modular design method provided by the above-mentioned method embodiments can be implemented.

[0049] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0050] The above are only preferred specific implementations of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. A vehicle modular design method, characterized in that: include: Determine the classification level of standard parts based on the characteristics of standard parts; Determine the importance level of the vehicle block based on the attributes of the vehicle block; Formulate standard parts modular selection rules using the standard parts classification levels and the vehicle block importance levels; Mathematical modeling is performed on the modular selection rules of standard parts, a standard parts selection decision model is constructed, and modular design of the entire vehicle is performed based on the standard parts selection decision model.

2. The vehicle modular design method according to claim 1, characterized in that: The step of determining the classification level of standard parts based on the characteristics of the standard parts includes: Based on the characteristics of standard parts, the grades of standard parts are divided into special grade, primary grade, secondary grade, good grade, general grade and secondary grade from high to low. The characteristics of standard parts include strength, durability and protection level. Each standard part grade can be divided into different categories according to the model.

3. The vehicle modular design method according to claim 2, characterized in that: The determining the importance level of the vehicle block based on the importance of the vehicle block includes: Based on the importance factors of the whole vehicle blocks, the importance levels of the whole vehicle blocks are divided into critical safety level, important reliability level, general use level and non-functional level. Among them, the importance factors of the whole vehicle blocks include weight stress factors, functional importance factors, harsh environment factors and maintenance difficulty factors.

4. The vehicle modular design method according to claim 3, characterized in that: The method of formulating standard parts modular selection rules by using the standard parts classification level and the vehicle block importance level includes: Critical safety-level components use special-level and primary-level standard parts, important reliability-level components use primary-level, secondary-level and good-level standard parts, general-use-level components use good-level and general-level standard parts, and non-functional-level components use general-level and secondary-level standard parts.

5. The vehicle modular design method according to claim 1, characterized in that: The method of mathematically modeling the modular selection rules of standard parts and constructing a standard parts selection decision model includes: According to the modular selection rules of standard parts, objective functions and constraints are designed to obtain a mathematical model; The mathematical model is solved based on a preset solution algorithm to obtain the standard part selection model.

6. The vehicle modular design method according to claim 1, characterized in that: The preset solution algorithm is an ant colony algorithm, and the mathematical model is solved based on the preset solution algorithm, including: Initialize a preset number of individuals and randomly assign them to each block; Calculate the fitness value of each individual based on the modular selection rules of standard parts, and migrate between blocks according to the probability of the fitness value to select new types of standard parts; Record the individual with the highest fitness until the global optimal solution is found.

7. The vehicle modular design method according to claim 1, characterized in that: The method further comprises: Set up an approval process for standard parts that cannot be processed by the standard parts selection decision model.

8. A vehicle modular design device, characterized in that: include: A first level determination module, used to determine the classification level of standard parts based on the characteristics of the standard parts; A second level determination module, used to determine the importance level of the whole vehicle block based on the attributes of the whole vehicle block; A rule-making module, used to make standard parts modular selection rules by using the standard parts classification level and the vehicle block importance level; The model building module is used to mathematically model the modular selection rules of the standard parts, build a standard parts selection decision model, and perform modular design of the entire vehicle based on the standard parts selection decision model.

9. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the vehicle modular design method described in any one of claims 1 to 7 above.

10. A computer-readable storage medium, characterized in that: Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the vehicle modular design method described in any one of claims 1 to 7 above.

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