Automobile part weight evaluation method, device, equipment, medium and product

Abstract

The invention discloses an automobile part weight evaluation method, device and equipment, a medium and a product. The method comprises the following steps: receiving designation of a target part in a to-be-developed automobile model and structural parameters input for the target part; and estimating the weight of the target part based on a weight estimation model of the target part according to the structure parameters. The weight of each part can be evaluated at the initial stage of vehicle model development, and then control over the weight of the whole vehicle is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle weight control, and in particular relates to a method, device, equipment, medium and product for evaluating the weight of automobile parts. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] In the early stages of vehicle project development, a weight target needs to be set to ensure that the weight of the vehicle is at the leading level in the market after the development model is launched, which is conducive to improving the power economy of the vehicle. The industry currently has a complete vehicle weight target setting process, but there is a lack of basis for how to reasonably decompose the vehicle weight target set based on this process into each subsystem.

[0004] Patent document CN118862208A provides a vehicle weight tracking weight reduction control analysis method, which obtains the weight information of each component of the vehicle to be tested, and classifies them according to predefined groups, and then measures the changes in components of each group and the weight of the vehicle with reference to the reference vehicle, and then determines whether the weight reduction design of the vehicle to be tested is qualified. Although this method achieves the design optimization of component weight, this method can only be used after the vehicle design is completed and the weight of all components can be obtained. Therefore, it is not suitable for the initial stage of vehicle development and the stage where component parameters cannot be accurately obtained. Summary of the invention

[0005] In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a method, device, equipment, medium and product for evaluating the weight of automobile parts, which can evaluate the weight of each component in the early stage of vehicle model development, thereby achieving control of the weight of the entire vehicle.

[0006] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions:

[0007] A method for evaluating the weight of an automobile component comprises the following steps:

[0008] Receiving the designation of a target component in a vehicle model to be developed and input structural parameters for the target component;

[0009] According to the structural parameters, based on the weight estimation model of the target component, the weight of the target component is estimated.

[0010] In some embodiments, the structural parameters include screenable structural parameters and quantitative structural parameters; the screenable structural parameters are used to determine screening conditions, and each screening condition corresponds to a weight estimation model of the target component.

[0011] In some embodiments, the method for determining the weight estimation model includes:

[0012] Obtain structural parameters and weight information of target parts in multiple competing models as sample data;

[0013] For target parts, screen weight influencing factors;

[0014] According to whether the key influencing factors are quantifiable, they are distinguished as screening items or fitting items;

[0015] For each given screening condition, obtain sample data of the fitting item under the condition and the corresponding target component weight data;

[0016] According to the sample data, the target component weight estimation model under this condition is established with the fitting term as the independent variable and the target component weight data as the dependent variable.

[0017] In some embodiments, the target component weight estimation model is constructed using a regression model.

[0018] In some embodiments, the method further includes: determining whether the weight of the target component meets the standard according to a standard range set for the target component.

[0019] In some embodiments, the method further includes: the standard interval is determined based on the industry average level, and based on the industry average level, a set ratio is increased and decreased, respectively, as an upper limit and a lower limit of the standard interval.

[0020] A second aspect of the present invention provides an automobile component weight assessment device, comprising:

[0021] A structural parameter input module is configured to receive the designation of a target component in a vehicle model to be developed and structural parameters input for the target component;

[0022] The component weight estimation module is configured to estimate the weight of the target component according to the structural parameters and based on the weight estimation model of the target component.

[0023] A third aspect of the present invention provides an electronic device, comprising a processor and a memory, wherein the memory stores computer instructions, and when the computer instructions are executed by the processor, the electronic device executes the method described.

[0024] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the program implements the method described when executed by a processor.

[0025] A fifth aspect of the present invention provides a computer program product, the computer program product comprising a computer program, and when the computer program is executed by a processor, the method described is implemented.

[0026] One or more of the above technical solutions can evaluate the weight of each component based on some available structural parameters in the early stage of vehicle development, and obtain a design solution that keeps the weight of each component to a minimum in the early stage of development, which can fundamentally achieve weight optimization, thereby controlling the weight of the entire vehicle and improving the power economy of the entire vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0028] Figure 1 This is a flow chart of a method for evaluating the weight of automobile parts in an embodiment of the present invention;

[0029] Figure 2 Flow chart of a method for determining an automobile parts weight estimation model in an embodiment of the present invention;

[0030] Figure 3 Schematic diagram of a user interface for automobile parts weight assessment in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be construed as being limited to the embodiments described herein. Instead, these embodiments are provided to provide a more thorough and complete understanding of the present application. It should be understood that the drawings and embodiments of the present application are only for exemplary purposes and are not intended to limit the scope of protection of the present application.

[0032] In the description of the embodiments of the present application, the term “including” and similar terms should be understood as open inclusion, that is, “including but not limited to.” The term “based on” should be understood as “based at least in part on.”

[0033] Generally speaking, after the weight target of the whole vehicle is determined, the designer will distribute the weight of the whole vehicle to each component. However, in the early stage of design, it is impossible to clearly know the clear parameter values ​​of each structure in the component. If the weight of the component is optimized after the whole vehicle design is completed, since the structural design of each component has been determined, the range of optimization is limited. In order to solve the above problem, one or more embodiments of the present invention provide a method for evaluating the weight of automobile components, which can estimate the weight of each component based on limited structural parameters in the early stage of vehicle development, which is beneficial to the weight control of each component and the weight control of the whole vehicle. Figure 1 As shown, the method comprises the following steps:

[0034] Step 1: receiving the designation of a target component in a vehicle model to be developed and inputting structural parameters for the target component;

[0035] Step 2: Estimate the weight of the target component according to the structural parameters and based on the weight estimation model of the target component.

[0036] In step 1, generally speaking, some of the weight influencing factors of the target parts can be quantified, while others cannot be quantified. Therefore, for the influencing factors that cannot be quantified, they are used as screening items, and the conditions of the screening items are set. For the influencing factors that can be quantified, the actual parameter values ​​are input by the user.

[0037] The structural parameters include screenable structural parameters and quantitative structural parameters; the screenable structural parameters may be the type and form of the structure, etc. The screenable structural parameters are used to determine the screening conditions, and each screening condition corresponds to a weight estimation model of the target component.

[0038] Among them, Figure 2 As shown, the method for determining the weight estimation model includes:

[0039] (1) Obtaining structural parameters and weight information of target parts in multiple competing models as sample data;

[0040] (2) Screening weight influencing factors for target parts;

[0041] (3) Based on whether the key influencing factors are quantifiable, distinguish whether they are screening items or fitting items;

[0042] (4) For each given screening condition, obtain sample data of the fitting item under the condition and the corresponding target component weight data;

[0043] (5) Based on the sample data, the target component weight estimation model under this condition is established with the fitting term as the independent variable and the target component weight data as the dependent variable.

[0044] Taking the intake system as an example, the following collects the intake system weight information of 80 models on the market and explains the method for determining the weight estimation model of the intake system:

[0045] The structure of the intake system includes an air filter, an air bleed pipe, an intake hose, etc. The factors affecting its weight are evaluated, and the key influencing factors are determined to include: air filter volume, air filter housing wall thickness, air bleed pipe length, air bleed pipe wall thickness, intake pipe length, intake pipe wall thickness, etc. Since the vehicle model to be developed is in the early stage of project development, some information cannot be accurately obtained. Therefore, the key influencing factors are optimized in combination with the structural parameters that can be obtained in the early stage of project development. Specifically, the wall thickness of the air bleed pipe and the wall thickness of the intake pipe are excluded because they cannot be defined in the early stage; the air filter volume is defined by the engine displacement and the intake form, which can be obtained in the early stage of the project; the length of the air bleed pipe and the length of the intake hose are defined by the interface layout position, which can be obtained in the early stage of the project.

[0046] After determining the key influencing factors, they are distinguished as screening items or fitting items according to whether they are quantifiable. Specifically, since the engine intake form and pipeline interface layout position cannot be quantified, they are used as conditional screening items; the engine displacement parameters can be quantified and are used as independent variables for data fitting analysis.

[0047] For each given screening condition, such as the engine intake form is turbocharged and the pipeline interface layout is the same, the fitting item is used as the independent variable and the target component weight data is used as the dependent variable to establish the intake system weight estimation model under this condition. Those skilled in the art will understand that the model can adopt any existing suitable model building method. As an example, the LINEST function can be used to combine the intake system weight and engine displacement database of existing models in the market for regression analysis to obtain the slope value m and intercept value b, and the correlation is greater than 85%; of course, depending on the number of independent variables, choose to use univariate regression or multivariate regression.

[0048] After the intake system weight estimation model is obtained, the weight of the intake system can be estimated based on the model in the early stage of the intake system design according to the structural parameters that can be determined.

[0049] The data validation of the weight estimation model for the intake system is as follows:

[0050] The weights of the intake systems of eight 1.5T models were selected for data verification. The maximum deviation between the actual system weight and the analyzed calculated weight was 7.74%, which met the verification standard of ≤15%. The data analysis determined that the system was qualified. See Table 2 for details.

[0051] Table 1 Data validation of intake system weight estimation model

[0052] Serial number Model Engine displacement Actual system weight Estimated weight Deviation rate 1 Model 1 1.5 2.474581 2.589740 -4.65％ 2 Model 2 1.5 2.474581 2.589740 -4.65％ 3 Model 3 1.5 2.474581 2.589740 -4.65％ 4 Model 4 1.5 2.474581 2.589740 -4.65％ 5 Model 5 1.5 2.597597 2.589740 0.30％ 6 Model 6 1.5 2.711542 2.589740 4.49％ 7 Model 7 1.5 2.792728 2.589740 7.27％ 8 Model 8 1.5 2.806890 2.589740 7.74％

[0053] Based on the above method, weight estimation models of components such as the half-axle system, subframe system, brake system, and sunroof system are constructed respectively.

[0054] The method further includes step 3: determining whether the weight of the target component meets the standard according to a standard range set for the target component.

[0055] The standard range can be determined by comprehensively considering multiple competing models. Specifically, the weight information of each component of multiple competing models is obtained; for each component, based on its weight in multiple competing models, its industry average level is found. At the same time, it is necessary to meet the following requirements: the sum of the industry average levels of each component must be less than or equal to the vehicle weight target of the model to be developed.

[0056] The standard range is determined based on the industry average level. Specifically, based on the industry average level, the set ratio is increased and decreased respectively as the upper and lower limits of the standard range. For example, by analyzing the weight of the intake system in multiple competing models, the industry average level is 2.589740g, which is the industry average level. Based on the industry average level, the set ratio is increased and decreased by α%, respectively, to obtain the standard range [2.589740 (1-α%), 2.589740 (1+α%)].

[0057] It can be understood that the standard range can also be used to divide the market competitiveness level range. Assuming that the market competitiveness level is divided into four levels: L, A, C, and M, then α% better than the industry average is L+, and α% lower than the industry average is M-, as shown in Table 2.

[0058] Table 2 LACM interval division of market competitiveness level

[0059]

[0060] Based on the above method, in the early stage of design of each component, the weight of each component can be estimated according to the weight estimation model, and combined with the standard range, it can be determined whether it can meet the standard. If it does not meet the standard, the various structural parameters can be adjusted as needed until it meets the standard.

[0061] Based on the above method, in the early stage of project development, when the parameters of components are not yet clear, the weight of components can be estimated through a limited number of key parameters that have a significant impact on weight, and the weight can be optimized fundamentally. This is more effective than performing optimization after the entire vehicle design is completed.

[0062] It is understandable that in the actual production implementation stage, there will be various reasons that cause the weight of parts to be inconsistent with expectations. Therefore, in order to improve the economic efficiency of the vehicle power, in the early stage of the design of each component of the vehicle, it is necessary to reduce the weight of each component as much as possible, and then control the weight of the vehicle within the target weight range of the vehicle.

[0063] It can assist design developers in finding the design solution that minimizes the weight of components and then carry out subsequent development.

[0064] Based on the above method, one or more embodiments of the present invention further provide an automobile parts weight assessment device, comprising:

[0065] A structural parameter input module is configured to receive the designation of a target component in a vehicle model to be developed and structural parameters input for the target component;

[0066] The component weight estimation module is configured to estimate the weight of the target component according to the structural parameters and based on the weight estimation model of the target component.

[0067] It can be understood that the above structural parameter input module can be implemented through a user interface, such as Figure 3 As shown, select the intake form, air inlet layout position, and air filter position according to the vehicle project requirements, input the influencing factor engine displacement, and click "Calculate" to automatically evaluate the weight of the intake system.

[0068] In addition, one or more embodiments of the present invention further provide an electronic device that can be used to implement the automobile parts weight assessment method in the above embodiments. The electronic device includes one or more processors, one or more memories coupled to the processors, and a communication module coupled to the processors.

[0069] The memory may include one or more non-volatile memories and one or more volatile memories. Examples of non-volatile memories include, but are not limited to, at least one of the following: read-only memory (ROM), erasable programmable read only memory (EPROM), flash memory, hard disk, compact disc (CD), digital video disc (DVD) or other magnetic storage and / or optical storage. Examples of volatile memories include, but are not limited to, at least one of the following: random access memory (RAM), or other volatile memory that does not last during the power outage duration. The computer program may be stored in the ROM. When the processor executes the computer program, the above-mentioned automobile parts weight assessment method is implemented.

[0070] In some embodiments, the program may be tangibly contained in a computer-readable medium, which may be included in a device (such as in a memory) or other storage device accessible by the device. The program may be loaded from the computer-readable medium to the RAM for execution. The computer-readable medium may include any type of tangible non-volatile memory, such as ROM, EPROM, flash memory, hard disk, and the computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned automobile parts weight assessment method.

[0071] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a server or terminal, the process or function described in the embodiment of the present application is generated in whole or in part. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a server or terminal or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (such as a floppy disk, a hard disk and a tape, etc.), an optical medium (such as a digital video disk (digital video disk, DVD), etc.), or a semiconductor medium (such as a solid-state hard disk, etc.).

[0072] In addition, although each operation is described in a specific order, this should be understood as requiring such operation to be performed in the specific order shown or in a sequential order, or requiring that all illustrated operations should be performed to obtain desired results. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the application. Some features described in the context of a separate embodiment can also be implemented in a single implementation in combination. On the contrary, the various features described in the context of a single implementation can also be implemented in multiple implementations individually or in any suitable sub-combination mode.

[0073] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A method for evaluating the weight of automobile parts, characterized in that: The following steps are involved: Receiving the designation of a target component in a vehicle model to be developed and input structural parameters for the target component; According to the structural parameters, based on the weight estimation model of the target component, the weight of the target component is estimated.

2. The automobile parts weight assessment method according to claim 1, characterized in that: The structural parameters include screenable structural parameters and quantitative structural parameters; the screenable structural parameters are used to determine screening conditions, and each screening condition corresponds to a weight estimation model of the target component.

3. The automobile parts weight assessment method according to claim 1, characterized in that: The method for determining the weight estimation model includes: Obtain structural parameters and weight information of target parts in multiple competing models as sample data; For target parts, screen weight influencing factors; According to whether the impact factor is quantifiable, it is distinguished as a screening item or a fitting item; For each given screening condition, obtain sample data of the fitting item under the condition and the corresponding target component weight data; According to the sample data, the target component weight estimation model under this condition is established with the fitting term as the independent variable and the target component weight data as the dependent variable.

4. The automobile parts weight assessment method according to claim 3, characterized in that: The target component weight estimation model is constructed using a regression model.

5. The automobile parts weight assessment method according to claim 1, characterized in that: The method further includes: determining whether the weight of the target component meets the standard according to a standard range set for the target component.

6. The automobile parts weight assessment method according to claim 5, characterized in that: The method also includes: the standard interval is determined based on the industry average level, and based on the industry average level, the set ratio is increased and decreased respectively as the upper limit and lower limit of the standard interval.

7. An automobile parts weight assessment device, characterized in that: include: A structural parameter input module is configured to receive the designation of a target component in a vehicle model to be developed and structural parameters input for the target component; The component weight estimation module is configured to estimate the weight of the target component according to the structural parameters and based on the weight estimation model of the target component.

8. An electronic device comprising a processor and a memory, wherein the memory stores computer instructions, characterized in that: When the computer instructions are executed by the processor, the electronic device executes the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

Images