Part weight change evaluation model construction method and weight change evaluation method

By establishing a component weight change evaluation model based on multiple vehicle model data, the problems of low accuracy and low efficiency of weight change evaluation in the development of new vehicle models are solved, and a more accurate and efficient vehicle weight change evaluation is achieved.

CN119691883APending Publication Date: 2025-03-25BEIJING CHEHEJIA AUTOMOBILE TECH CO LTD
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Patent Information

Application Number
CN202311229239.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-22
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

In the development of new models, the weight change evaluation accuracy and low efficiency are low, and the impact of dimensional changes on the weight of parts cannot be quickly and accurately reflected.

Method used

By obtaining the dimension data and weight data of the target components in various vehicle models, a weight change evaluation model for the components is established, and the weight change amount of the target components is evaluated based on this model, thereby determining the total weight change amount of the vehicle.

Benefits of technology

The accuracy and efficiency of vehicle parts weight change evaluation is improved, and the vehicle weight change can be quickly and accurately determined, solving the problems of low accuracy and low efficiency in existing methods.

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Abstract

The invention discloses a part weight change evaluation model construction method and a weight change evaluation method, and the method comprises the steps: obtaining and determining the size data of a target size parameter corresponding to a target part in a plurality of vehicle types, and obtaining the weight data of the target part in the plurality of vehicle types, and establishing a weight change evaluation model corresponding to the target part based on the size data and the weight data, wherein the weight change evaluation model is used for evaluating the weight variation of the target part based on the size variation of the target size parameter. According to the embodiment of the invention, based on the thinking of big data, the weight change evaluation model of the target part is constructed according to the related data of various vehicle types, and the important variable quantity of the target part in the vehicle can be accurately and quickly determined based on the weight change evaluation model, so that the weight variable quantity of the vehicle can be determined; therefore, the problems of low precision and low efficiency of the existing evaluation method are effectively improved.
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Description

Technical Field

[0001] The present application belongs to the field of vehicle development technology, and in particular relates to a component weight change assessment model construction method and a weight change assessment method. Background Art

[0002] Usually during the development of new models, small adjustments to the dimensional definition often occur, and the weight management team needs to quickly assess the weight changes based on the impact of the dimensional changes.

[0003] The current methods for evaluating weight changes mainly include: estimation based on industry experience values ​​and estimation based on relevant data of the company's own vehicle models.

[0004] Among them, the method based on industry experience does not distinguish the size differences of the evaluated models when making estimates. For the same size changes of different models, it will give the same weight change estimate based on experience. For example, for vehicles with different heights, the weight change value of the same wheelbase increase of 10mm is obviously different, but this method uniformly gives a fixed value, which makes the evaluation accuracy low. The method based on the relevant data of the company's own models requires data collection for the company's own models. Since the number of vehicles is limited and relatively simple, the amount of data is small, resulting in low accuracy in the estimation based on the collected data. Summary of the invention

[0005] The embodiments of the present application provide a method for constructing a component weight change assessment model and a weight change assessment method, device, equipment and computer storage medium, which can improve the problems of low accuracy and low efficiency in vehicle weight change assessment.

[0006] In a first aspect, an embodiment of the present application provides a method for constructing a component weight change assessment model, comprising:

[0007] Obtaining dimension data of target dimension parameters corresponding to target components in various vehicle models; the target components are components in the vehicle associated with dimension changes, and the target dimension parameters are dimension parameters that affect the weight of the target components;

[0008] Obtain weight data of target parts in various vehicle models;

[0009] A weight change evaluation model corresponding to the target component is established based on the size data and the weight data. The weight change evaluation model is used to evaluate the weight change of the target component based on the size change of the target size parameter.

[0010] In a second aspect, an embodiment of the present application provides a weight change assessment method, which is applied to a vehicle including N target parts, where N is a positive integer, and the method includes:

[0011] Obtaining a dimensional change amount of a first dimensional parameter in the vehicle, where the first dimensional parameter is a dimensional parameter that has undergone dimensional change;

[0012] Inputting the size change of the first size parameter into a weight change assessment model corresponding to a first target component to obtain the weight change of the first target component output by the weight change assessment model, wherein the first target component is a target component whose corresponding target size parameter includes the first size parameter among the N target components;

[0013] The weight change of the vehicle is determined based on the weight change of the first target component.

[0014] In a third aspect, an embodiment of the present application provides a component weight change assessment model construction device, comprising:

[0015] The first acquisition module is used to acquire the size data of the target size parameter corresponding to the target component in multiple vehicle models; the target component is a component in the vehicle associated with size change, and the target size parameter is a size parameter that affects the weight of the target component;

[0016] The second acquisition module is used to obtain weight data of target parts in various vehicle models;

[0017] The model building module is used to build a weight change evaluation model corresponding to the target component based on the size data and weight data. The weight change evaluation model is used to evaluate the weight change of the target component based on the size change of the target size parameter.

[0018] In a fourth aspect, an embodiment of the present application provides a weight change assessment device, which is applied to a vehicle including N target parts, where N is a positive integer, and the device includes:

[0019] An acquisition module, used for acquiring a size change amount of a first size parameter in the vehicle, where the first size parameter is a size parameter that has undergone a size change;

[0020] A model evaluation module is used to input the size change of the first size parameter into a weight change evaluation model corresponding to the first target component to obtain the weight change of the first target component output by the weight change evaluation model, wherein the first target component is a target component whose corresponding target size parameter includes the first size parameter among the N target components;

[0021] The change amount determination module is used to determine the weight change amount of the vehicle according to the weight change amount of the first target component.

[0022] In a fifth aspect, an embodiment of the present application provides an electronic device, the device comprising: a processor and a memory storing computer program instructions;

[0023] When the processor executes the computer program instructions, the method for constructing a component weight change evaluation model according to the first aspect is implemented.

[0024] In a sixth aspect, an embodiment of the present application provides a computer-readable storage medium having computer program instructions stored thereon. When the computer program instructions are executed by a processor, a method for constructing a component weight change assessment model as in the first aspect is implemented.

[0025] In a seventh aspect, an embodiment of the present application provides an electronic device, the device comprising: a processor and a memory storing computer program instructions;

[0026] When the processor executes the computer program instructions, the weight change evaluation method according to the second aspect is implemented.

[0027] In an eighth aspect, an embodiment of the present application provides a computer-readable storage medium having computer program instructions stored thereon. When the computer program instructions are executed by a processor, the weight change assessment method of the second aspect is implemented.

[0028] In a ninth aspect, an embodiment of the present application provides a vehicle, comprising the electronic device of the fifth aspect or the seventh aspect.

[0029] The component weight change assessment model construction method and weight change assessment method of the embodiment of the present application obtain the dimension data of the target dimension parameters corresponding to the target component in multiple vehicle models, obtain the weight data of the target component in multiple vehicle models, and establish the weight change assessment model corresponding to the target component based on the dimension data and the weight data. The weight change assessment model is used to assess the weight change of the target component based on the dimension change of the target dimension parameter. According to this embodiment, the weight change assessment model of the target component is constructed based on the relevant data of multiple vehicle models. Based on the weight change assessment model, the important change amount of the target component in the vehicle can be accurately and quickly determined, and then the weight change amount of the vehicle can be determined, thereby effectively improving the low precision problem of the existing assessment method. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solution of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0031] Figure 1 It is a flow chart of a method for constructing a component weight change assessment model provided in an embodiment of the present application;

[0032] Figure 2The present invention provides a flowchart of establishing a weight change assessment model based on dimension data and weight data;

[0033] Figure 3 The embodiment of the present application provides a schematic diagram of a vehicle body coordinate system;

[0034] Figure 4 It is a schematic diagram of cutting a whole vehicle provided by an embodiment of the present application;

[0035] Figure 5 The embodiment of the present application provides a Figure 4 A schematic diagram of the corresponding relationship between multiple groups of vehicle cross-sectional areas and unit length weight of target parts obtained by the cutting method shown;

[0036] Figure 6 It is a flow chart of a weight change evaluation method provided in an embodiment of the present application;

[0037] Figure 7 It is a structural schematic diagram of a component weight change assessment model building device provided in an embodiment of the present application;

[0038] Figure 8 is a schematic diagram of the structure of a weight change assessment device provided in an embodiment of the present application;

[0039] Fig. 9 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by illustrating the examples of the present application.

[0041] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0042] The embodiment of the present application provides a method for constructing a component weight change assessment model, a weight change assessment method, a device, a equipment, a medium and a vehicle. A model for assessing the weight change of components in a vehicle is established based on the thinking of big data. Based on the constructed model, the weight change of components in the vehicle can be accurately and efficiently assessed, and then the weight change of the vehicle can be accurately and efficiently determined based on the weight change of the components, solving the problem of low accuracy and low efficiency in weight change assessment.

[0043] See also Figure 1 , a flow chart of a method for constructing a component weight change assessment model provided in an embodiment of the present application. Figure 1 As shown, the method may include the following steps S11-S13.

[0044] S11. Obtaining dimensional data of target dimensional parameters corresponding to target parts in various vehicle models.

[0045] The target component is a component in the vehicle that is associated with a size change, and the target size parameter is a size parameter that affects the weight of the target component. The target component will undergo a design change due to the size change of the target size parameter, which will lead to a weight change. Therefore, the target size parameter can also be understood as a size parameter that affects the weight of the target component.

[0046] For any target component in the vehicle, the component weight change assessment model construction method provided in the embodiment of the present application can be used to construct a corresponding weight change assessment model.

[0047] The target parts in the vehicle can be determined by big data analysis based on the vehicle model database. The vehicle model database is a database of massive vehicle data of various models, including but not limited to vehicle size information, weight information, parts and material information, etc. Among them, the vehicle model refers to the product model of the vehicle.

[0048] As an example, for each vehicle, when determining the target parts, the parts bill of materials corresponding to the vehicle model can be obtained from the vehicle model database of the benchmark company, and then each part can be analyzed through big data analysis algorithms such as regression analysis to identify the parts whose design changes will be affected by the changes in vehicle size as target parts. Regression analysis is a widely used statistical analysis method. Regression analysis can use data statistics principles to perform mathematical processing on a large amount of statistical data to determine whether there is a correlation between variables. Based on this, regression analysis can determine the target parts that are correlated with vehicle size. According to prior knowledge, the vehicle size parameters of the vehicle may usually affect the weight of the parts in the vehicle. Therefore, for each target part, its corresponding target size parameters can be determined based on the vehicle size parameters.

[0049] The vehicle's overall size parameters mainly include front overhang size, rear overhang size, wheelbase size, vehicle width size, and vehicle height size. Based on this, when determining the target size parameters corresponding to the target component, it is possible to identify which size parameters of the front overhang size, rear overhang size, wheelbase size, vehicle width size, and vehicle height size the weight of the target component is associated with, and determine the associated size parameters as the target size parameters corresponding to the target component. It can be seen that the target size parameters corresponding to the target component usually include at least one of the following: front overhang size, rear overhang size, wheelbase size, vehicle width size, and vehicle height size.

[0050] As an example, for any target component, when determining its corresponding target size parameter, a data mining algorithm can be used based on the vehicle model database to identify the size parameters associated with the design change of the target component in the front overhang size, rear overhang size, wheelbase size, vehicle width size and vehicle height size. Data mining is a decision support process, which is mainly based on artificial intelligence, machine learning, pattern recognition, statistics, database, visualization technology, etc., to analyze a large amount of data in a highly automated manner and search for information hidden therein. Data mining mainly includes three steps: data preparation, pattern finding and pattern expression. Data preparation is to select the required data from relevant data sources and integrate them into a data set for data mining. In this embodiment, the data in the vehicle model database is mainly used as a data set for data mining; pattern finding is to use machine learning, statistical analysis, artificial intelligence and other methods to find the rules contained in the data set. In this embodiment, the main purpose is to find the target size parameters associated with the target component; and pattern expression is to express the found rules in a user-friendly way (such as visualization) as much as possible. Since the installation positions and functions of different target components are usually different, the target size parameters corresponding to different target components may also be different.

[0051] As an example, see Table 1, which is a correspondence table between multiple target components and target size parameters in a vehicle.

[0052] Table 1:

[0053]

[0054] Y in Table 1 represents including, as shown in Table 1, wherein the target size parameters corresponding to component 1 include front overhang size, wheelbase size, rear overhang size, vehicle width size and vehicle height size, the target size parameters corresponding to component 2 include wheelbase size and vehicle height size, the target size parameters corresponding to component 3 include front overhang size, wheelbase size, and vehicle width size, the target size parameters corresponding to component 4 include wheelbase size, rear overhang size and vehicle width size, and the target size parameters corresponding to component 5 include wheelbase size and vehicle height size.

[0055] In this embodiment, the dimension data of the target dimension parameters in various vehicle models may be obtained from the vehicle model database.

[0056] As an example, the dimension data of the target dimension parameters corresponding to all vehicle models can be derived from the vehicle model database of the vehicle dismantling benchmarking company. See Table 2 for the correspondence table between the derived vehicle models and dimension data.

[0057] Table 2:

[0058]

[0059] S12. Obtain weight data of target parts in various vehicle models.

[0060] In this embodiment, the dimension data of the target component in various vehicle models may be obtained from the vehicle model database.

[0061] As an example, the weight data of the target parts in all models can be exported from the model database of the vehicle dismantling benchmarking company. See Table 3, which is a table of the correspondence between the weight of the exported part 1 and various models.

[0062] Table 3:

[0063]

[0064] S13. A weight change evaluation model corresponding to the target component is established based on the size data and the weight data. The weight change evaluation model is used to evaluate the weight change of the target component based on the size change of the target size parameter.

[0065] In this embodiment, after obtaining the dimensional data and weight data through S11 and S12, training data can be constructed based on the dimensional data and weight data, and model training can be performed based on the constructed training data, so as to obtain a weight change evaluation model with the dimensional change of the target dimensional parameter as the independent variable and the weight change of the target component as the dependent variable.

[0066] After obtaining the weight change assessment model, the dimensional change of the target dimensional parameter can be input into the weight change assessment model to obtain the weight change output by the model, which is the weight change of the target component caused by the dimensional change.

[0067] The method for constructing a component weight change assessment model provided in this embodiment obtains dimension data of target dimension parameters corresponding to a target component in multiple vehicle models, obtains weight data of the target component in multiple vehicle models, and establishes a weight change assessment model corresponding to the target component based on the dimension data and weight data. The weight change assessment model is used to assess the weight change of the target component based on the dimension change of the target dimension parameter. According to this embodiment, based on the thinking of big data, a weight change assessment model of the target component is constructed based on relevant data of multiple vehicle models. Based on the weight change assessment model, the important change amount of the target component in the vehicle can be accurately and quickly determined, and then the weight change amount of the vehicle can be determined, thereby effectively improving the low precision problem of existing assessment methods.

[0068] In addition, the existing method of estimating weight change based on the relevant data of the company's own vehicle models is mainly to obtain the overall weight change of the vehicle by cutting the surface at the front overhang, wheelbase, rear overhang, etc., based on the cross-sectional area and the density of different materials, combined with the size change value. The premise of using the cut surface method for evaluation is to have a complete mathematical model of the vehicle and information such as material properties, which requires a lot of manpower to collect and process relevant information, and the output efficiency is low. In this embodiment, the weight change evaluation model of each target component can be constructed based on the existing vehicle model database, and then the weight change of the vehicle is determined based on the weight change evaluation model, without the need for manual data collection and processing, which is more efficient.

[0069] In some embodiments, participating Figure 2 , establishing a weight change assessment model based on the dimension data and weight data may include the following steps:

[0070] S21. Determine at least one dimension change direction corresponding to the target dimension parameter, where the dimension change direction includes at least one of the following: length direction, width direction, and height direction.

[0071] The dimensional change direction corresponding to the target dimensional parameter is the dimensional change direction that will affect the weight of the target component, that is, when the vehicle changes in size in the dimensional change direction, the size of the target component will change.

[0072] Usually the size of a vehicle can change in three directions: length, width and height, so the size change direction can be divided into length, width and height. The length direction refers to the direction of the X-axis in the body coordinate system, the width direction refers to the direction of the Y-axis in the body coordinate system, and the height direction refers to the direction of the Z-axis in the body coordinate system. The body coordinate system is defined as a coordinate system established with the vehicle itself as the reference system. In the body coordinate system, the forward direction of the vehicle is defined as the positive direction of the X-axis, the left side of the vehicle is defined as the positive direction of the Y-axis, and the top of the vehicle is defined as the positive direction of the Z-axis. See Figure 3 , which is a schematic diagram of the vehicle body coordinate system.

[0073] The length dimension of the vehicle body refers to the length of the vehicle body, which refers to the distance from the front bumper to the rear bumper. The length of the vehicle body is usually expressed by the front overhang dimension, rear overhang dimension and wheelbase dimension. The front overhang dimension refers to the horizontal distance between the front bumper and the center of the front wheel, the rear overhang dimension refers to the horizontal distance between the rear bumper and the center of the rear wheel, and the wheelbase dimension refers to the horizontal distance from the center of the front wheel to the center of the rear wheel. That is, the sum of the front overhang dimension, rear overhang dimension and wheelbase dimension is the length of the vehicle body. It can be seen that the length dimension of the vehicle body will be affected by the front overhang dimension, rear overhang dimension and wheelbase dimension. As long as any of the front overhang dimension, rear overhang dimension and wheelbase dimension changes, the length dimension of the vehicle body will change.

[0074] Based on this, determining at least one size change direction corresponding to the target size parameter may include:

[0075] When the target size parameters include front overhang size, rear overhang size and / or wheelbase size, determining the length direction as the size change direction;

[0076] When the target size parameter includes the vehicle width, the width direction is determined as the size change direction;

[0077] When the target size parameter includes a vehicle height dimension, the height direction is determined as the size change direction.

[0078] S22. For each dimensional change direction, a cross-sectional weight relationship model corresponding to the dimensional change direction is established based on the dimensional data and the weight data to obtain at least one cross-sectional weight relationship model.

[0079] Among them, the cross-sectional weight relationship model is used to indicate the relationship between the vehicle's cross-sectional area and the unit length weight of the target component in the direction of dimensional change.

[0080] The cross-sectional area of ​​the vehicle in the direction of dimensional change refers to the area of ​​the cross section of the vehicle in the direction of dimensional change, and the cross-sectional area of ​​the vehicle in the direction of dimensional change can be abstractly understood as the cross-section obtained by cutting the vehicle using a plane perpendicular to the direction of dimensional change.

[0081] For example, if the current dimension change direction is the length direction, the cross section of the vehicle in this dimension change direction refers to the cross section obtained by cutting the vehicle with a plane perpendicular to the Y axis in the vehicle body coordinate system. If the current dimension change direction is the width direction, the cross section of the vehicle in this dimension change direction refers to the cross section obtained by cutting the vehicle with a plane perpendicular to the X axis in the vehicle body coordinate system. If the current dimension change direction is the height direction, the cross section of the vehicle in this dimension change direction refers to the cross section obtained by cutting the vehicle with a plane perpendicular to the Z axis in the vehicle body coordinate system.

[0082] The weight per unit length of the target component in the direction of dimensional change can be understood as when the entire vehicle is cut using a plane perpendicular to the direction of dimensional change, the target component is cut into multiple parts at the same time, and the weight of each part is the weight per unit length.

[0083] When the whole vehicle is cut using a plane perpendicular to the direction of dimensional change, the whole vehicle is cut once every unit length, and the cross-sectional area of ​​the whole vehicle obtained by each cutting corresponds to the unit length weight of the target component obtained by cutting. In this way, multiple sets of corresponding whole vehicle cross-sectional areas and unit length weights of target components can be obtained. By analyzing multiple sets of corresponding whole vehicle cross-sectional areas and unit length weights of target components, the relationship between the whole vehicle cross-sectional area and the unit length weight of the target component in the direction of dimensional change can be obtained. Among them, the unit length can be set according to actual conditions, for example, it can be set to 1 mm.

[0084] As an example, see Figure 4 , is a schematic diagram of cutting the whole vehicle, where the dimension change direction is the width direction, and the unit length is 1 mm, such as Figure 4 As shown in the figure, the target component is cut into multiple pieces along the width direction, and the weight M / W of each piece is the weight per unit length of the target component in the width direction. Figure 5 , based on Figure 4 Schematic diagram of the corresponding relationship between multiple groups of vehicle cross-sectional areas and unit length weight of target parts obtained by the cutting method shown.

[0085] Usually, in different directions of dimensional change, the corresponding relationship between the cross-sectional area of ​​the whole vehicle and the weight per unit length of the target component is usually different. Therefore, in this embodiment, a corresponding cross-sectional weight relationship model is established for each direction of dimensional change. That is, if the target component corresponds to one direction of dimensional change, only one cross-sectional weight relationship model is established. If the target component corresponds to multiple directions of dimensional change, multiple cross-sectional weight relationship models must be established to analyze the relationship between the weight change and dimensional change of the target component from multiple dimensions.

[0086] S23. Establish a weight change evaluation model based on at least one cross-sectional weight relationship model.

[0087] The cross-sectional weight relationship model corresponding to each dimensional change direction reflects the relationship between the cross-sectional area of ​​the vehicle and the unit length weight of the target component in that dimensional change direction. It can also be understood as the weight change of the target component corresponding to a unit length change in that dimensional change direction. Based on this, a weight change evaluation model for evaluating the weight change of the target component based on the dimensional change of the target dimensional parameter can be established according to at least one cross-sectional weight relationship model corresponding to at least one dimensional change direction.

[0088] In some embodiments, establishing a cross-section weight relationship model corresponding to the dimension change direction according to the dimension data and the weight data may include the following steps:

[0089] Determine the vehicle cross-sectional area of ​​each vehicle type in the dimension change direction according to the dimension data, and obtain multiple vehicle cross-sectional areas;

[0090] According to the weight data, the unit weight of the target component in the dimension direction in each of the multiple vehicle models is determined to obtain multiple unit weights in the dimension direction, where the unit weight in the dimension direction is the weight per unit length of the target component in the dimension change direction;

[0091] According to multiple vehicle cross-sectional areas and unit weights in multiple dimensional directions, a cross-sectional weight relationship model corresponding to the dimensional change direction is established.

[0092] Among them, for each vehicle model, when determining the vehicle cross-sectional area of ​​the vehicle model in the direction of dimensional change based on the dimensional data, the dimensional data corresponding to the vehicle model can be screened out from the dimensional data, and then the dimension corresponding to the second dimensional parameter can be extracted from the screened data, and the corresponding vehicle cross-sectional area can be calculated based on the dimension of the second dimensional parameter according to the existing vehicle cross-sectional area calculation method, wherein the second dimensional parameter is the dimensional parameter in the target dimensional parameter corresponding to the current dimensional change direction.

[0093] For each vehicle model, when determining the unit weight of the target component in the vehicle model based on the weight data, the weight of the target component in the vehicle model can be filtered out from the weight data, and then the unit weight in the dimension direction can be determined based on the filtered weight and the size of the second dimension parameter.

[0094] As an example, the unit weight of the target component in the dimension direction can be obtained by dividing the weight of the target component by the dimension value of the vehicle in the dimension change direction. For example, if the dimension change direction is the width direction, the weight of the target component is divided by the vehicle width dimension of the vehicle to obtain the corresponding unit weight in the dimension direction. If the dimension change direction is the height direction, the weight of the target component is divided by the vehicle height dimension of the vehicle to obtain the corresponding unit weight in the dimension direction. If the dimension change direction is the width direction, the weight of the target component is divided by the vehicle length dimension of the vehicle to obtain the corresponding unit weight in the dimension direction. Among them, the vehicle length dimension refers to the total dimension of the dimension parameters corresponding to the length direction in the target dimension parameters. For example, if the dimension parameters corresponding to the length direction in the target dimension parameters are only the front overhang dimension, the vehicle length dimension refers to the front overhang dimension. If the dimension parameters corresponding to the length direction in the target dimension parameters are the front overhang dimension and the wheelbase dimension, the vehicle length dimension refers to the sum of the front overhang dimension and the wheelbase dimension. And so on, which will not be listed here one by one.

[0095] In some embodiments, establishing a cross-sectional weight relationship model corresponding to a dimension change direction based on multiple vehicle cross-sectional areas and multiple unit weights in dimension directions may include the following steps:

[0096] Construct a linear regression model, which includes dependent variables, independent variables and parameters. The dependent variable is the unit weight in the dimension direction, and the independent variable is the cross-sectional area of ​​the vehicle.

[0097] Construct multiple sets of training data based on multiple vehicle cross-sectional areas and unit weights in multiple dimensional directions, each set of training data includes dependent variables and independent variables;

[0098] Use multiple sets of training data to train the linear regression model to adjust the parameters;

[0099] When the training end condition is met, the training is stopped, and the linear regression model obtained from the last training is determined as the cross-sectional weight relationship model corresponding to the size change direction.

[0100] As an example, constructing a linear regression model may include: applying a univariate linear regression analysis method to establish a univariate linear regression model based on one independent variable and one dependent variable.

[0101] The mathematical formula for the linear regression model is as follows:

[0102] y=a1x1+b

[0103] Among them, y represents the dependent variable, x1 represents the independent variable, a1 represents the regression coefficient, and b represents the constant.

[0104] a1 and b in the linear regression model are the parameters of the model and need to be adjusted through model training.

[0105] When conducting model training, multiple groups of training data are first constructed based on multiple vehicle cross-sectional areas and unit weights in multiple dimensional directions, wherein the dependent variables and independent variables in each group of training data are corresponding, that is, based on the above analysis of the cross-sectional area of ​​the whole vehicle and the unit length weight of the target parts, the dependent variables and independent variables in each group of training data in the same group are the cross-sectional area of ​​the whole vehicle and the unit length weight of the target parts obtained by the same cutting.

[0106] The training end conditions can be set according to actual conditions, for example, including that the number of training times reaches a preset number and / or the error rate of the trained model is lower than a preset value.

[0107] The cross-sectional weight relationship model is determined by model training, so that the accuracy of the cross-sectional weight relationship model can be ensured.

[0108] In some embodiments, establishing a weight change assessment model based on at least one cross-sectional weight relationship model may include the following steps:

[0109] For each dimensional change direction, multiply the cross-sectional weight relationship model corresponding to the dimensional change direction by the dimensional change amount in the dimensional change direction to obtain a weight change model corresponding to the dimensional change direction;

[0110] The weight change models corresponding to all dimensional change directions are added together to obtain the weight change evaluation model.

[0111] In some embodiments, a vehicle may include multiple target components, and the weight change assessment model corresponding to each target component may be based on multiple cross-sectional weight relationship models. As a result, a cross-sectional weight model contains multiple parameters. Furthermore, considering that the vehicle structure of the same model is consistent, in order to facilitate the use of the weight change assessment model, a coefficient library can be established for each model. The coefficient library is used to store the parameters of the weight change assessment model corresponding to the target components in the model.

[0112] As an example, see Table 4, which is a schematic diagram of the coefficient library corresponding to a certain vehicle model.

[0113] Table 4:

[0114]

[0115] By constructing a coefficient library corresponding to the vehicle model, it is convenient to manage the weight change evaluation model corresponding to the vehicle model.

[0116] The component weight change assessment model constructed by the component weight change assessment model construction method provided in the embodiment of the present application can quickly provide the weight change when the vehicle model size input changes, whether in the early stage of project development or in process development, and support downstream stakeholders who need to use weight parameters to evaluate the impact of size changes, so that the project can quickly make correct decisions.

[0117] Based on the component weight change assessment model construction method provided in the above-mentioned embodiment, the present application also provides a weight change assessment method, which is used to evaluate the vehicle weight change caused by the vehicle size change based on the weight change assessment model constructed by the above-mentioned component weight change assessment model construction method.

[0118] See also Figure 6 , is a flow chart of a weight change evaluation method provided in an embodiment of the present application, the method is applied to a vehicle including N target parts, and is used to evaluate the vehicle weight change caused by the vehicle size change, N is a positive integer greater than or equal to 1, such as Figure 6 As shown, the method includes the following steps S61-S63.

[0119] S61. Obtain a dimensional change amount of a first dimensional parameter in the vehicle, where the first dimensional parameter is a dimensional parameter that has undergone dimensional change.

[0120] S62. Input the dimensional change of the first dimensional parameter into the weight change assessment model corresponding to the first target component, and obtain the weight change of the first target component output by the weight change assessment model.

[0121] The first target component is a target component whose corresponding target size parameters include the first size parameters among the N target components.

[0122] The weight change assessment model corresponding to each target component can be constructed using the component weight change assessment model construction method provided in the above embodiment, and the specific construction process will not be repeated here.

[0123] S63. Determine the weight change of the vehicle according to the weight change of the first target component.

[0124] Among them, the number of first target components may be one or more. When the number of first target components is multiple, the weight change of the vehicle can be directly determined by the weight change of the first target components. When the number of first target components is multiple, the sum of the weight changes of multiple first target components is determined as the weight change of the vehicle.

[0125] As an example, take a vehicle model whose length, width and height are L0, W0 and H0 respectively. If it includes k target parts, and the dimensional change direction corresponding to each target part includes the length direction and the height direction, then when the length dimension of the vehicle of the model increases by Nmm and the height dimension increases by Zmm, the vehicle weight change value MD of the model can be calculated based on the following formula:

[0126] MD=MD L *N+MD W *0+MD H *Z

[0127] MD L =(a 1_L *(W0*H0)+b 1_L )+(a 2_L *(W0*H0)+b 2_L )+…+(a k_L *(W0*H0)+b k_L )

[0128] MD W =(a 1_W *(L0*H0)+b 1_W )+(a 2_W *(L0*H0)+b 2_W )+…+(a k_W *(L0*H0)+b k_W )

[0129] MD H =(a 1_H *(W0*L0)+b 1_H )+(a 2_H *(W0*L0)+b 2_H )+…+(a k_H *(W0*L0)+b k_H )

[0130] The weight change estimation method provided in this embodiment estimates the weight change of the vehicle caused by the size change based on the weight change evaluation model corresponding to the target component in the vehicle, and has high accuracy and efficiency.

[0131] Based on the component weight change evaluation model construction method provided in the above embodiment, the present application also provides a specific implementation of the component weight change evaluation model construction device. Please refer to the following embodiment.

[0132] See also Figure 7 The component weight change assessment model building device provided in the embodiment of the present application includes the following modules:

[0133] The first acquisition module 701 is used to acquire the size data of the target size parameter corresponding to the target component in multiple vehicle models; the target component is a component in the vehicle associated with size change, and the target size parameter is a size parameter that affects the weight of the target component;

[0134] The second acquisition module 702 is used to acquire weight data of target parts in various vehicle models;

[0135] The model building module 703 is used to build a weight change evaluation model corresponding to the target component based on the size data and the weight data. The weight change evaluation model is used to evaluate the weight change of the target component based on the size change of the target size parameter.

[0136] In some embodiments, the model building module 703 includes:

[0137] A direction determination submodule is used to determine at least one size change direction corresponding to the target size parameter, where the size change direction includes at least one of the following: length direction, width direction, and height direction;

[0138] A relational model establishment submodule is used to establish, for each dimension change direction, a cross-section weight relational model corresponding to the dimension change direction according to the dimension data and the weight data, to obtain at least one cross-section weight relational model, wherein the cross-section weight relational model is used to indicate the relationship between the cross-sectional area of ​​the vehicle and the unit length weight of the target component in the dimension change direction;

[0139] The evaluation model establishment submodule is used to establish a weight change evaluation model based on at least one cross-sectional weight relationship model.

[0140] In some embodiments, the relationship model building submodule includes:

[0141] A cross-sectional area determination unit, used to determine the cross-sectional area of ​​a vehicle of each of the multiple vehicle models in a dimension change direction according to the dimension data, to obtain multiple cross-sectional areas of the vehicle;

[0142] A unit length weight determination unit is used to determine the unit weight of the target component in the dimension direction of each of the multiple vehicle models according to the weight data, and obtain multiple unit weights in the dimension direction, where the unit weight in the dimension direction is the unit length weight of the target component in the dimension change direction;

[0143] The model building unit is used to build a cross-sectional weight relationship model corresponding to a dimension change direction according to multiple vehicle cross-sectional areas and unit weights in multiple dimension directions.

[0144] In some embodiments, the model building unit is specifically configured to:

[0145] Construct a linear regression model, which includes dependent variables, independent variables and parameters. The dependent variable is the unit weight in the dimension direction, and the independent variable is the cross-sectional area of ​​the vehicle.

[0146] Construct multiple sets of training data based on multiple vehicle cross-sectional areas and unit weights in multiple dimensional directions, each set of training data includes dependent variables and independent variables;

[0147] Use multiple sets of training data to train the linear regression model to adjust the parameters;

[0148] When the training end condition is met, the training is stopped, and the linear regression model obtained from the last training is determined as the cross-sectional weight relationship model corresponding to the size change direction.

[0149] In some embodiments, the evaluation model establishment submodule is specifically used to:

[0150] For each dimensional change direction, multiply the cross-sectional weight relationship model corresponding to the dimensional change direction by the dimensional change amount in the dimensional change direction to obtain a weight change model corresponding to the dimensional change direction;

[0151] The weight change models corresponding to all dimensional change directions are added together to obtain the weight change evaluation model.

[0152] In some embodiments, the target size parameter includes at least one of the following:

[0153] Front overhang dimensions, rear overhang dimensions, wheelbase dimensions, vehicle width dimensions, and vehicle height dimensions.

[0154] The component weight change assessment model construction device provided in the embodiment of the present application can realize each process implemented in the component weight change assessment model construction method embodiment, and will not be described again here to avoid repetition.

[0155] Based on the weight change evaluation method provided in the above embodiment, the present application also provides a specific implementation of a weight change evaluation device. Please refer to the following embodiment.

[0156] See also Figure 8 The weight change assessment device provided in the embodiment of the present application includes the following modules:

[0157] An acquisition module 801 is used to acquire a size change amount of a first size parameter in a vehicle, where the first size parameter is a size parameter that has undergone a size change;

[0158] The model evaluation module 802 is used to input the size change of the first size parameter into a weight change evaluation model corresponding to the first target component to obtain the weight change of the first target component output by the weight change evaluation model, wherein the first target component is a target component whose corresponding target size parameter includes the first size parameter among the N target components;

[0159] The change amount determination module 803 is used to determine the weight change amount of the vehicle according to the weight change amount of the first target component.

[0160] The weight change assessment device provided in the embodiment of the present application can implement each process implemented in the embodiment of the weight change assessment method. To avoid repetition, it will not be repeated here.

[0161] Fig. 9 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application is shown.

[0162] The electronic device may include a processor 901 and a memory 902 storing computer program instructions.

[0163] Specifically, the processor 901 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0164] The memory 902 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 902 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, the memory 902 may include a removable or non-removable (or fixed) medium. In appropriate cases, the memory 902 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 902 is a non-volatile solid-state memory. The memory 902 may include a read-only memory (ROM), a random access memory (RAM), a disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical, or other physical / tangible memory storage device. Therefore, typically, the memory 902 includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it can perform the operations described in any of the component weight change assessment model building methods or weight change assessment methods in the above-mentioned embodiments.

[0165] The processor 901 reads and executes computer program instructions stored in the memory 902 to implement any one of the component weight change assessment model construction methods or weight change assessment methods in the above embodiments.

[0166] In one example, the electronic device may further include a communication interface 903 and a bus 910. Fig. 9 As shown, the processor 901, the memory 902, and the communication interface 903 are connected via a bus 910 and communicate with each other.

[0167] The communication interface 903 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0168] Bus 910 includes hardware, software or both, and the parts of online data flow billing equipment are coupled to each other. For example, but not limitation, bus may include accelerated graphics port (AGP) or other graphics bus, enhanced industrial standard architecture (EISA) bus, front-end bus (FSB), hypertransport (HT) interconnection, industrial standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 910 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the present application considers any suitable bus or interconnection.

[0169] In addition, in combination with the component weight change assessment model construction method or weight change assessment method in the above embodiments, the present application embodiment can provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any component weight change assessment model construction method or weight change assessment method in the above embodiments is implemented.

[0170] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0171] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0172] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.

[0173] Aspects of the present disclosure are described above with reference to the flowchart and / or block diagram of the method, device (system) and computer program product according to the embodiment of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the function / action specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It can also be understood that each box in the block diagram and / or flowchart and the combination of boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs a specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0174] The above is only a specific implementation of the present application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present application is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the protection scope of this application.

Claims

1. A method for constructing a component weight change assessment model, characterized in that: include: Obtain the dimensional data of target dimensional parameters corresponding to target parts in various vehicle models; The target component is a component in a vehicle that is associated with a size change, and the target size parameter is a size parameter that affects the weight of the target component; Obtaining weight data of the target component in the multiple vehicle models; A weight change evaluation model corresponding to the target component is established based on the size data and the weight data, and the weight change evaluation model is used to evaluate the weight change of the target component based on the size change of the target size parameter.

2. The method according to claim 1, characterized in that The step of establishing a weight change assessment model based on the size data and the weight data comprises: Determine at least one dimension change direction corresponding to the target dimension parameter, where the dimension change direction includes at least one of the following: length direction, width direction, and height direction; For each of the dimensional change directions, a cross-section weight relationship model corresponding to the dimensional change direction is established according to the dimensional data and the weight data to obtain at least one cross-section weight relationship model, wherein the cross-section weight relationship model is used to indicate the relationship between the cross-sectional area of ​​the vehicle in the dimensional change direction and the weight per unit length of the target component; The weight change evaluation model is established based on the at least one cross-sectional weight relationship model.

3. The method according to claim 2, characterized in that The step of establishing a cross-section weight relationship model corresponding to the dimension change direction according to the dimension data and the weight data includes: Determine, according to the dimension data, a whole vehicle cross-sectional area of ​​each vehicle type in the plurality of vehicle types in the dimension change direction, to obtain a plurality of whole vehicle cross-sectional areas; Determine, according to the weight data, a unit weight of the target component in a dimension direction in each of the multiple vehicle models, and obtain a plurality of unit weights in the dimension direction, wherein the unit weight in the dimension direction is a unit length weight of the target component in the dimension change direction; A cross-sectional weight relationship model corresponding to the dimensional change direction is established according to the multiple vehicle cross-sectional areas and the multiple unit weights in the dimensional directions.

4. The method according to claim 3, characterized in that The step of establishing a cross-sectional weight relationship model corresponding to the dimension change direction according to the multiple vehicle cross-sectional areas and the multiple dimension direction unit weights includes: Constructing a linear regression model, wherein the linear regression model includes a dependent variable, an independent variable and a parameter, wherein the dependent variable is the unit weight in the dimension direction, and the independent variable is the cross-sectional area of ​​the whole vehicle; Constructing multiple sets of training data according to the multiple vehicle cross-sectional areas and the multiple unit weights in the dimensional directions, each set of the training data includes the dependent variable and the independent variable; Using the multiple sets of training data to train the linear regression model to adjust the parameters; When the training end condition is met, the training is stopped, and the linear regression model obtained from the last training is determined as the cross-sectional weight relationship model corresponding to the dimension change direction.

5. The method according to claim 2, characterized in that: The step of establishing the weight change evaluation model according to the at least one cross-sectional weight relationship model comprises: For each of the dimensional change directions, multiplying the cross-sectional weight relationship model corresponding to the dimensional change direction by the dimensional change amount in the dimensional change direction to obtain a weight change model corresponding to the dimensional change direction; The weight change models corresponding to all the dimensional change directions are added together to obtain the weight change evaluation model.

6. The method according to any one of claims 1 to 5, characterized in that: The target size parameter includes at least one of the following: Front overhang dimensions, rear overhang dimensions, wheelbase dimensions, vehicle width dimensions, and vehicle height dimensions.

7. A weight change assessment method, characterized in that: Applied to a vehicle including N target parts, where N is a positive integer, the method comprises: Acquire a dimensional change amount of a first dimensional parameter in the vehicle, where the first dimensional parameter is a dimensional parameter that has undergone dimensional change; Inputting the size change of the first size parameter into a weight change assessment model corresponding to a first target component to obtain the weight change of the first target component output by the weight change assessment model, wherein the first target component is a target component among the N target components whose corresponding target size parameter includes the first size parameter; The weight change of the vehicle is determined according to the weight change of the first target component.

8. A component weight change assessment model construction device, characterized in that: include: The first acquisition module is used to acquire the size data of the target size parameters corresponding to the target parts in various vehicle models; The target component is a component in a vehicle that is associated with a size change, and the target size parameter is a size parameter that affects the weight of the target component; A second acquisition module is used to acquire weight data of the target component in the multiple vehicle models; A model building module is used to build a weight change evaluation model corresponding to the target component based on the size data and the weight data, and the weight change evaluation model is used to evaluate the weight change of the target component based on the size change of the target size parameter.

9. A weight change evaluation device, characterized in that: Applied to a vehicle including N target parts, where N is a positive integer, the device comprises: An acquisition module, used for acquiring a size change amount of a first size parameter in the vehicle, where the first size parameter is a size parameter that has undergone size change; a model evaluation module, configured to input the size change of the first size parameter into a weight change evaluation model corresponding to a first target component, and obtain the weight change of the first target component output by the weight change evaluation model, wherein the first target component is a target component among the N target components, the corresponding target size parameter of which includes the first size parameter; The change amount determination module is used to determine the weight change amount of the vehicle according to the weight change amount of the first target component.

10. An electronic device, characterized in that: The device comprises: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, the method for constructing a component weight change assessment model as described in any one of claims 1 to 6 is implemented.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the method for constructing a component weight change assessment model as described in any one of claims 1 to 6 is implemented.

12. A vehicle, characterized in that: Comprising the electronic device as claimed in claim 10.