Size parameterized body-in-white weight estimation method and system

Abstract

The invention provides a size parameterized body-in-white weight estimation method and system, and the method comprises the steps: constructing body-in-white finite element models of vehicle types with different wheelbase sizes, carrying out the fitting of the weight changes of different vehicle factors and the wheelbases of the finite element models, and obtaining a body-in-white weight change-wheelbase curve of the corresponding vehicle factors; based on the to-be-evaluated new vehicle model size parameters, matching corresponding preset basic vehicle model size parameters; obtaining a vehicle factor change coefficient based on the to-be-evaluated new vehicle model size parameter and a corresponding preset basic vehicle model size parameter; and on the basis of the body-in-white weight change-wheelbase curve of the corresponding vehicle factor and the vehicle factor change coefficient, body-in-white weight estimation is carried out on the new vehicle type to be evaluated, and a body-in-white weight estimation result of the new vehicle type to be evaluated is obtained. The full consideration of the change of the vehicle parameter factors is realized, and the vehicle weight estimation accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle weight estimation, and in particular to a dimensionally parameterized body-in-white weight estimation method and system. Background Art

[0002] The weight estimation of the body in white is an important part of the weight estimation of the whole vehicle. In order to achieve the rapid estimation of the weight of the whole vehicle, strict requirements are imposed on the accuracy of the rapid estimation of the body in white.

[0003] At present, the existing technology mainly determines the weight information of the white body of the standard model and the maximum projection area ratio in the whole vehicle coordinate system according to the three-dimensional data through the parameters such as the size of the basic model and the new model, the weight information of the basic model and the surface density of the basic model, and then obtains the white body weight of the new model. The weight estimation analysis method using the surface density tends to ignore the influence of the height direction, resulting in reduced accuracy of weight estimation and poor accuracy of weight estimation for large size changes. The weight estimation analysis method using the body density ignores the influence of the inconsistency between the tire size, the front and rear overhang height and the height of the whole vehicle, resulting in reduced accuracy of weight estimation. Therefore, the existing technology ignores the inconsistency of the vehicle parameter factors of the white body weight and the whole vehicle weight when estimating the white body weight, resulting in poor accuracy of vehicle weight estimation. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a dimensionally parameterized body-in-white weight estimation method and system, which fully considers the changes in vehicle parameter factors and improves the accuracy of vehicle weight estimation.

[0005] To achieve the above object, an embodiment of the present invention provides a method for estimating the weight of a body-in-white with dimension parameters, comprising:

[0006] Constructing finite element models of body-in-white of vehicles with different wheelbase sizes, fitting the weight changes of different vehicle factors and the wheelbase of the finite element model, and obtaining a body-in-white weight change-wheelbase curve corresponding to the vehicle factor;

[0007] Based on the size parameters of the new model to be evaluated, the size parameters of the corresponding preset basic model are matched;

[0008] Obtaining a vehicle factor variation coefficient based on the dimension parameters of the new vehicle model to be evaluated and the corresponding dimension parameters of the preset basic vehicle model;

[0009] Based on the body-in-white weight change-wheelbase curve corresponding to the vehicle factor and the vehicle factor change coefficient, the body-in-white weight of the new model to be evaluated is estimated to obtain a body-in-white weight estimation result of the new model to be evaluated.

[0010] The embodiment of the present invention proposes a size-parameterized body-in-white weight estimation method, which constructs a finite element model and uses different wheelbase sizes as references to fit the weight changes of different vehicle factors into a body-in-white weight change-wheelbase curve corresponding to the vehicle factor, thereby providing a data reference for subsequent weight estimation. By matching the corresponding preset basic vehicle model size parameters, the difference in vehicle factor change between the new model to be evaluated and the preset basic model can be calculated. When estimating the weight of the new model to be evaluated, in addition to considering the difference in vehicle factor change, the weight estimation result can also be dynamically adjusted through the body-in-white weight change-wheelbase curve corresponding to the vehicle factor. Therefore, by fully considering the difference in change between the model to be evaluated and the preset basic model, the accuracy of vehicle weight estimation is improved.

[0011] Furthermore, the body-in-white finite element model of the vehicle model with different wheelbase sizes is constructed, and the weight change of different vehicle factors and the wheelbase of the finite element model are fitted to obtain the body-in-white weight change-wheelbase curve corresponding to the vehicle factor, including:

[0012] Construct the first finite element model of the body-in-white of vehicles with different wheelbase sizes;

[0013] Based on the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes, the five factors of front overhang, rear overhang, wheelbase, height and width are parameterized to obtain the five vehicle factors of front overhang, rear overhang, wheelbase, height and width;

[0014] The weight change of the body-in-white with changes in five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, is obtained, and the wheelbase of the first finite element model is fitted one by one to obtain the weight change-wheelbase curve of the body-in-white corresponding to the vehicle factor.

[0015] The embodiment of the present invention proposes a dimensionally parameterized body-in-white weight estimation method, which constructs finite element models of body-in-white of vehicle models with different wheelbase sizes, and performs dimension parameterization on five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, and then analyzes the influence of each factor on the body-in-white weight. The body-in-white weight changes caused by the changes in the five vehicle factors are then fitted to the wheelbase one by one, and a weight change-wheelbase curve corresponding to each factor is obtained, which can accurately reflect the influence trend of the changes in vehicle factors on the vehicle weight, thereby improving the accuracy of vehicle weight estimation.

[0016] Furthermore, the body-in-white weight change of five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, is obtained, and the wheelbase of the first finite element model is fitted one by one to obtain the body-in-white weight change-wheelbase curve corresponding to the vehicle factor, including:

[0017] Based on the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes, five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, are subjected to tensile deformation by preset tensile deformation values ​​to obtain a second finite element model of the body-in-white of the vehicle model with different wheelbase sizes;

[0018] Subtracting the corresponding vehicle factors in the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes and the second finite element model of the body-in-white of the vehicle model with different wheelbase sizes, to obtain the weight change of the body-in-white when the five vehicle factors of front overhang, rear overhang, wheelbase, height and width are changed;

[0019] The body-in-white weight change due to changes in the five vehicle factors of front overhang, rear overhang, wheelbase, height and width is fitted one by one with the wheelbase of the first finite element model of the body-in-white of the vehicle models with different wheelbase sizes, so as to obtain the body-in-white weight change-wheelbase curve corresponding to the vehicle factor.

[0020] A dimensionally parameterized body-in-white weight estimation method proposed in an embodiment of the present invention obtains the front and rear weight difference by stretching and deforming the first finite element model, and fits the body-in-white weight change-wheelbase curve corresponding to the vehicle factor, fully considering the impact of the change of vehicle parameter factors on the vehicle weight, and improving the accuracy of vehicle weight estimation.

[0021] Furthermore, the matching of the corresponding preset basic vehicle size parameters based on the size parameters of the new vehicle model to be evaluated includes:

[0022] Obtaining the size parameters of the new model to be evaluated and the size parameters of several preset basic models;

[0023] Subtracting the dimension parameters of the new vehicle model to be evaluated from the dimension parameters of the plurality of preset basic vehicle models one by one to obtain a plurality of dimension parameter difference values;

[0024] Based on the plurality of size parameter difference values, preset basic vehicle model size parameters that meet preset difference requirements are matched.

[0025] A dimensionally parameterized body-in-white weight estimation method proposed in an embodiment of the present invention calculates the difference in dimension parameters between a new vehicle model to be evaluated and a number of preset basic vehicle models, provides a large amount of basic data as a reference, and matches the dimension parameters of the preset basic vehicle models that meet the difference requirements. This can ensure to the greatest extent that no other additional factors will affect the accuracy of the result during the vehicle weight estimation process, thereby improving the accuracy of the vehicle weight estimation.

[0026] Furthermore, based on the dimension parameters of the new vehicle model to be evaluated and the corresponding dimension parameters of the preset basic vehicle model, a vehicle factor variation coefficient is obtained, including:

[0027] Obtaining a vehicle factor change based on a size parameter difference between the size parameters of the new vehicle model to be evaluated and the size parameters of the corresponding preset basic vehicle model;

[0028] The vehicle factor change amount is divided by the preset tensile deformation value to obtain a vehicle factor change coefficient.

[0029] A dimensionally parameterized body-in-white weight estimation method proposed in an embodiment of the present invention can provide more objective data reflecting the changes in various vehicle factors by calculating the dimension parameter difference between the dimension parameters of a new vehicle model to be evaluated and the corresponding preset dimension parameters of a basic vehicle model, and then calculate the vehicle factor change coefficient through a preset tensile deformation value, which can also reflect the degree of influence of the vehicle factor change on the overall vehicle weight, fully consider the influence of the vehicle factor change on the vehicle weight, and improve the accuracy of vehicle weight estimation.

[0030] Furthermore, based on the body-in-white weight change-wheelbase curve corresponding to the vehicle factor and the vehicle factor change coefficient, the body-in-white weight of the new model to be evaluated is estimated to obtain a body-in-white weight estimation result of the new model to be evaluated, including:

[0031] Based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor, extracting the weight change value of the corresponding vehicle factor at the corresponding wheelbase;

[0032] Multiplying the weight change value of the corresponding vehicle factor at the corresponding wheelbase by the vehicle factor change coefficient to obtain a weight change estimate;

[0033] Based on the weight change estimate, the body-in-white weight of the new model to be evaluated is estimated to obtain a body-in-white weight estimation result of the new model to be evaluated.

[0034] Further, based on the weight change estimate, the body-in-white weight of the new model to be evaluated is estimated, and the body-in-white weight estimation result of the new model to be evaluated is obtained, including:

[0035] Obtaining a preset basic vehicle body-in-white weight whose size parameter difference value meets the preset difference requirement;

[0036] The weight change estimate value is added to the preset base vehicle body-in-white weight whose dimension parameter difference value meets the preset difference requirement to obtain the estimated result of the body-in-white weight of the new vehicle model to be evaluated.

[0037] A dimensionally parameterized body-in-white weight estimation method is proposed in an embodiment of the present invention. The weight change value of the corresponding vehicle factor under the corresponding wheelbase is extracted from the body-in-white weight change-wheelbase curve of the corresponding vehicle factor, and the vehicle factor change coefficient and the weight of the basic vehicle model are combined to finally estimate the body-in-white weight of the new vehicle model to be evaluated. The influence of the vehicle factor change on the vehicle weight is fully considered, thereby improving the accuracy of the vehicle weight estimation.

[0038] The embodiment of the present invention also provides a size parameterized body-in-white weight estimation system, comprising: a curve fitting module, a parameter matching module, a variation coefficient acquisition module and a weight estimation module;

[0039] The curve fitting module is used to construct a body-in-white finite element model of a vehicle model with different wheelbase sizes, and to fit the weight change of different vehicle factors and the wheelbase of the finite element model to obtain a body-in-white weight change-wheelbase curve corresponding to the vehicle factor;

[0040] The parameter matching module is used to match the corresponding preset basic vehicle size parameters based on the size parameters of the new vehicle to be evaluated;

[0041] The variation coefficient acquisition module is used to obtain the vehicle factor variation coefficient based on the dimension parameters of the new vehicle model to be evaluated and the corresponding preset basic vehicle model dimension parameters;

[0042] The weight estimation module is used to estimate the body-in-white weight of the new model to be evaluated based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor and the vehicle factor change coefficient, and obtain the body-in-white weight estimation result of the new model to be evaluated.

[0043] The embodiment of the present invention proposes a size-parameterized body-in-white weight estimation system, which constructs a finite element model through a curve fitting module and uses different wheelbase sizes as references to fit the weight changes of different vehicle factors into a body-in-white weight change-wheelbase curve corresponding to the vehicle factor, providing data reference for subsequent weight estimation, matching the corresponding preset basic vehicle model size parameters through a parameter matching module, and being able to calculate the difference in vehicle factor changes between a new model to be evaluated and a preset basic model through a change coefficient acquisition module. When the weight estimation module estimates the weight of the new model to be evaluated, in addition to considering the difference in vehicle factor changes, the weight estimation result can also be dynamically adjusted through the body-in-white weight change-wheelbase curve corresponding to the vehicle factor, thereby improving the accuracy of vehicle weight estimation by fully considering the difference in changes between the model to be evaluated and the preset basic model.

[0044] Furthermore, the curve fitting module is used to construct a body-in-white finite element model of a vehicle model with different wheelbase sizes, and to fit the weight change of different vehicle factors and the wheelbase of the finite element model to obtain a body-in-white weight change-wheelbase curve corresponding to the vehicle factor, including:

[0045] Finite element model building unit, vehicle factor acquisition unit and weight change-wheelbase fitting unit;

[0046] The finite element model building unit is used to build a first finite element model of the body-in-white of vehicle models with different wheelbase sizes;

[0047] The vehicle factor acquisition unit is used to perform dimension parameterization on five factors, namely, front overhang, rear overhang, wheelbase, height and width, based on the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes, to obtain five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width;

[0048] The weight change-wheelbase fitting unit is used to obtain the body-in-white weight change due to changes in five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, and to fit them one by one with the wheelbase of the first finite element model to obtain the body-in-white weight change-wheelbase curve corresponding to the vehicle factor.

[0049] The embodiment of the present invention proposes a size-parameterized body-in-white weight estimation system, which constructs a finite element model of the body-in-white of a vehicle model with different wheelbase sizes through a finite element model construction unit, and performs size parameterization on five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, through a vehicle factor acquisition unit, and then analyzes the influence of each factor on the body-in-white weight. Then, the weight change-wheelbase fitting unit fits the weight change of the body-in-white with the changes of the five vehicle factors to the wheelbase one by one, and obtains the weight change-wheelbase curve corresponding to each factor, which can accurately reflect the influence trend of the vehicle factor change on the vehicle weight, thereby improving the accuracy of vehicle weight estimation.

[0050] Further, the weight estimation module is used to estimate the body-in-white weight of the new model to be evaluated based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor and the vehicle factor change coefficient, and obtain the body-in-white weight estimation result of the new model to be evaluated, including:

[0051] A weight change value acquisition unit, a weight change estimated value acquisition unit and a vehicle body weight estimation unit;

[0052] The weight change value acquisition unit is used to extract the weight change value of the corresponding vehicle factor at the corresponding wheelbase based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor;

[0053] The weight change estimated value acquisition unit is used to multiply the weight change value of the corresponding vehicle factor at the corresponding wheelbase by the vehicle factor change coefficient to obtain the weight change estimated value;

[0054] The vehicle body weight estimation unit is used to estimate the body-in-white weight of the new vehicle model to be evaluated based on the weight change estimation value, and obtain a body-in-white weight estimation result of the new vehicle model to be evaluated. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 A schematic diagram of the steps of a method for estimating the weight of a body-in-white with dimension parameters provided in one embodiment of the present invention;

[0056] Figure 2 A schematic diagram of a body-in-white weight change-wheelbase curve of a height factor of a dimensionally parameterized body-in-white weight estimation method provided by a certain embodiment of the present invention;

[0057] Figure 3 A schematic diagram of the module structure of a dimensionally parameterized body-in-white weight estimation system provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] Example 1

[0060] See also Figure 1 , Figure 1 A schematic flow chart of the steps of a method for estimating the weight of a body-in-white with dimension parameters provided in an embodiment of the present invention; Figure 1 As shown, the embodiment of the present invention proposes a method including steps, each step is specifically as follows:

[0061] Step 101, constructing a body-in-white finite element model of a vehicle model with different wheelbase sizes, fitting the weight change of different vehicle factors and the wheelbase of the finite element model, and obtaining a body-in-white weight change-wheelbase curve corresponding to the vehicle factor;

[0062] As an example of this embodiment, a first finite element model of the body-in-white of a vehicle model with different wheelbase sizes is constructed; based on the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes, five factors, namely, front overhang, rear overhang, wheelbase, height and width, are dimensionally parameterized to obtain five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width; the weight change of the body-in-white with changes in the five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, is obtained, and the wheelbases of the first finite element model are fitted one by one to obtain a body-in-white weight change-wheelbase curve corresponding to the vehicle factors. Specifically, based on the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes, the five vehicle factors of the front overhang, rear overhang, wheelbase, height and width are stretched and deformed by preset stretch deformation values ​​to obtain the second finite element model of the body-in-white of the vehicle model with different wheelbase sizes; the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes and the second finite element model of the body-in-white of the vehicle model with different wheelbase sizes are subtracted from each other to obtain the weight change of the body-in-white with changes in the five vehicle factors of the front overhang, rear overhang, wheelbase, height and width; the weight change of the body-in-white with changes in the five vehicle factors of the front overhang, rear overhang, wheelbase, height and width are fitted one by one with the wheelbase of the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes to obtain the body-in-white weight change-wheelbase curve of the corresponding vehicle factor.

[0063] In view of the fact that the prior art lacks consideration of changes in vehicle factors, the embodiment of the present invention constructs a finite element model to perform dimension parameterization on five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width. Based on the above five factors, the finite element model is combined to analyze the influence of vehicle factors on the change of body-in-white weight, and by fitting the changes into a curve, the influence trend of vehicle factor changes on vehicle weight can be intuitively analyzed, and the accuracy of body-in-white weight estimation can be improved. A specific implementation method is to construct a body-in-white finite element model of different wheelbase size models according to different wheelbase size models, and on the basis of the body-in-white finite element model, the dimensions of the five factors, namely, front overhang, rear overhang, wheelbase, height and width, are parameterized, and the deformation areas corresponding to the five factors are locked. A more specific implementation method is to construct the basic components of the body-in-white model through implicit parameterization modeling software (such as SFE-Concept), including: control points, baselines and sections, where control points are used to determine the position of body parts, baselines are used to define the direction of parts, and sections are used to describe the shape of parts, and then through base points, baselines and sections, etc. The parametric model of the body-in-white (equivalent to the finite element model of the body-in-white) is established by parameters. During the modeling process, the position of the control point, the shape of the baseline and the size of the cross section can be adjusted as needed to achieve the change of the body shape. Thus, the finite element model of the body-in-white of the vehicle model with different wheelbase sizes can be obtained. Then, based on the parametric model of the body-in-white (equivalent to the finite element model of the body-in-white), five vehicle factors, namely the front overhang, rear overhang, wheelbase, height and width, are separated. Through these five vehicle factors, corresponding adjustments are made in the parametric model to divide the deformation areas corresponding to the five vehicle factors. In practical applications, the changes in the body shape and size can be observed in real time by changing the parameter values ​​of these factors. So far, the finite element model of the body-in-white of the vehicle model with different wheelbase sizes is constructed through the above steps. Then, by changing the five vehicle factors, the weight change of the body-in-white can be obtained. Based on the weight change of the body-in-white and the wheelbase of the finite element model of the body-in-white, the body-in-white weight change-wheelbase curve corresponding to the vehicle factor is obtained. It is worth mentioning that the finite element model can also be constructed by the existing mature explicit parametric modeling method, which will not be repeated here.

[0064] Further explanation: by stretching and deforming the vehicle factors, the weight change of the body-in-white is obtained, and then the curve is fitted, which fully considers the influence of the change of the vehicle parameter factors on the vehicle weight, and improves the accuracy of the vehicle weight estimation. A specific implementation method is to use the Morph tool to stretch and deform the five vehicle factors of the initial body-in-white finite element model (equivalent to the first finite element model of the body-in-white of the vehicle with different wheelbase sizes) by 50mm (equivalent to the preset stretch deformation value) to obtain a set of new body-in-white finite element models (equivalent to the second finite element model of the body-in-white of the vehicle with different wheelbase sizes), and record the weight difference between this set of new body-in-white finite element models (equivalent to the second finite element model of the body-in-white of the vehicle with different wheelbase sizes) and the original body-in-white finite element model (equivalent to the first finite element model of the body-in-white of the vehicle with different wheelbase sizes), and calculate the weight change of the body-in-white with the change of the five vehicle factors. For details, please refer to Table 1:

[0065] Table 1 Weight difference record between the new body-in-white finite element model and the original body-in-white finite element model

[0066]

[0067]

[0068] As can be seen from Table 1, 262.2kg, 336.9kg, 316.3kg, 277.8kg, 164.5kg, 354.6kg and 353kg are the body-in-white weights of models 1 to 7 corresponding to the initial body-in-white finite element models (equivalent to the first finite element models of the body-in-white of models with different wheelbase sizes), respectively. The table shows the weight changes of the body-in-white after stretching deformation of five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, for a total of seven different models, namely, models 1 to 7; after obtaining the weight changes of the body-in-white with changes in the five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, the weight changes of the body-in-white with changes in the vehicle factors can be fitted with the wheelbase of the first finite element models of the body-in-white of models with different wheelbase sizes to obtain the body-in-white weight change-wheelbase curve corresponding to the vehicle factor, for example, see Figure 2 , Figure 2 A schematic diagram of a body-in-white weight change-wheelbase curve of a height factor of a dimensionally parameterized body-in-white weight estimation method provided in an embodiment of the present invention; a curve is obtained by fitting the height factor, and the curve is represented by: Y=0.000002x 2 -0.0065x+8.3201, R 2 =0.783; Therefore, by deforming and stretching the vehicle factor and considering the influence of the vehicle factor change on the vehicle weight, the accuracy of vehicle weight estimation is improved.

[0069] Step 102, matching the corresponding preset basic vehicle model size parameters based on the size parameters of the new vehicle model to be evaluated;

[0070] As an example of this embodiment, the dimension parameters of a new vehicle model to be evaluated and several preset dimension parameters of basic vehicle models are obtained; the dimension parameters of the new vehicle model to be evaluated and the several preset dimension parameters of basic vehicle models are subtracted one by one to obtain several dimension parameter difference values; based on the several dimension parameter difference values, the preset basic vehicle model dimension parameters that meet the preset difference requirements are matched.

[0071] On the basis of fully considering the influence of vehicle factor changes on vehicle weight, in order to reduce the interference of other factors, the size parameters of the new model to be evaluated are matched with the size parameters of the preset basic model. In order to ensure to the greatest extent that no other additional factors will affect the accuracy of the result in the vehicle weight estimation process, a specific implementation method is based on a database of preset basic models, which includes: the body-in-white weights of various models and their corresponding size parameters (vehicle factor size parameters). According to the expected size parameters of the new model, the basic models with similar sizes to the new model to be evaluated are screened out in the database by making a difference one by one, and the comprehensive matching degree of multiple size parameters is considered during the screening, rather than just a single parameter; thereby reducing the accuracy of the results affected by other additional factors, thereby improving the accuracy of vehicle weight estimation;

[0072] Step 103, obtaining a vehicle factor variation coefficient based on the dimension parameters of the new vehicle model to be evaluated and the corresponding dimension parameters of the preset basic vehicle model;

[0073] As an example of this embodiment, based on the size parameter difference value between the size parameters of the new vehicle model to be evaluated and the corresponding preset basic vehicle model size parameters, the vehicle factor change is obtained; the vehicle factor change coefficient is obtained by dividing the vehicle factor change by the preset tensile deformation value.

[0074] In order to more objectively reflect the impact of vehicle factor changes on the overall weight of the vehicle, the size parameter difference between the size parameters of the new model to be evaluated and the corresponding preset basic model size parameters is calculated, and the vehicle factor change coefficient is calculated in combination with the preset tensile deformation value. The calculated vehicle factor change coefficient provides a guarantee for the accuracy of subsequent vehicle weight estimation, thereby improving the accuracy of vehicle weight estimation. A specific implementation method is to obtain the size parameter difference between the size parameters of the new model to be evaluated and the corresponding preset basic model size parameters by difference, and obtain the corresponding 5 vehicle factor changes according to the difference value, and divide the change by 50mm (equivalent to the preset tensile deformation value) to obtain the corresponding vehicle factor change coefficient. This coefficient can reflect the degree of change in size of the new model to be evaluated relative to the preset basic model.

[0075] Step 104 , based on the body-in-white weight change-wheelbase curve corresponding to the vehicle factor and the vehicle factor change coefficient, the body-in-white weight of the new model to be evaluated is estimated to obtain a body-in-white weight estimation result of the new model to be evaluated.

[0076] As an example of this embodiment, based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor, the weight change value of the corresponding vehicle factor under the corresponding wheelbase is extracted; the weight change value of the corresponding vehicle factor under the corresponding wheelbase is multiplied by the vehicle factor change coefficient to obtain a weight change estimate; based on the weight change estimate, the body-in-white weight of the new model to be evaluated is estimated to obtain a body-in-white weight estimate result of the new model to be evaluated. Specifically, the body-in-white weight of the preset basic model whose size parameter difference value meets the preset difference requirement is obtained; the weight change estimate value is added to the body-in-white weight of the preset basic model whose size parameter difference value meets the preset difference requirement to obtain a body-in-white weight estimate result of the new model to be evaluated.

[0077] In order to accurately estimate the body-in-white weight of the new model to be evaluated, the body-in-white weight change-wheelbase curve of the corresponding vehicle factor, the weight change value of the corresponding vehicle factor under the corresponding wheelbase and the vehicle factor change coefficient and other factors are combined to achieve this. Each factor is related to the change of the vehicle factor, so as to fully consider the impact of the change of the vehicle factor on the vehicle weight and improve the accuracy of the vehicle weight estimation. A specific implementation method is to select the required vehicle factor and the body-in-white weight change-wheelbase curve of its vehicle factor, obtain the weight change value of the vehicle factor under the corresponding wheelbase in the curve, multiply the value by the vehicle factor change coefficient, and finally add them together in combination with the preset basic model body-in-white weight to obtain the body-in-white weight estimation result of the new model to be evaluated. A specific implementation example is as follows: in a specific experiment, it is assumed that the size parameters of the preset basic vehicle model are as follows: length 4100mm, width 1700mm, height 1600mm, wheelbase 2600mm, front overhang 750mm and rear overhang 750mm, and the body weight in white is 250kg; it is assumed that the size parameters of the new vehicle model are: length 4280mm, width 1750mm, height 1650mm, wheelbase 2700mm, front overhang 800mm and rear overhang 780mm; by subtracting the size parameters of the new vehicle model from the size parameters of the preset basic vehicle model, the corresponding changes in the five vehicle factors are obtained: width 50mm, height 50mm, wheelbase 100mm, front overhang 50mm and rear overhang 30mm; The corresponding changes in the five vehicle factors are divided by 50mm, and the corresponding change coefficients are: width 1=50 / 50, height 1=50 / 50, wheelbase 2=100 / 50, front overhang 1=50 / 50 and rear overhang 0.6=30 / 50; select the corresponding wheelbase change in the five vehicle factor weight change-wheelbase curve, assuming the changes are: width 3.5kg, height 2kg, wheelbase 3kg, front overhang 1.5kg and rear overhang 2.5kg; then the weight change of the new model is: 14.5kg=width 1*3.5+height 1*2+wheelbase 2*3+front overhang 1*1.5+rear overhang 0.6*2.5; finally, the weight of the new model's body-in-white is 264.5kg=250+14.5.

[0078] The embodiment of the present invention proposes a size-parameterized body-in-white weight estimation method, which constructs a finite element model and uses different wheelbase sizes as references to fit the weight changes of different vehicle factors into a body-in-white weight change-wheelbase curve corresponding to the vehicle factor, thereby providing a data reference for subsequent weight estimation. By matching the corresponding preset basic vehicle model size parameters, the difference in vehicle factor change between the new model to be evaluated and the preset basic model can be calculated. When estimating the weight of the new model to be evaluated, in addition to considering the difference in vehicle factor change, the weight estimation result can also be dynamically adjusted through the body-in-white weight change-wheelbase curve corresponding to the vehicle factor. Therefore, by fully considering the difference in change between the model to be evaluated and the preset basic model, the accuracy of vehicle weight estimation is improved.

[0079] Example 2

[0080] See also Figure 3 , Figure 3 A schematic diagram of a module structure of a dimensionally parameterized body-in-white weight estimation system provided by an embodiment of the present invention. Figure 3 As shown, the embodiment of the present invention provides a size-parameterized body-in-white weight estimation system, comprising:

[0081] Curve fitting module 301, parameter matching module 302, variation coefficient acquisition module 303 and weight estimation module 304;

[0082] The curve fitting module 301 is used to construct a BIW finite element model of a vehicle model with different wheelbase sizes, and to fit the weight change of different vehicle factors and the wheelbase of the finite element model to obtain a BIW weight change-wheelbase curve corresponding to the vehicle factor;

[0083] As an example of an embodiment of the present invention, the curve fitting module 301 is used to construct a body-in-white finite element model of a vehicle model with different wheelbase sizes, and to fit the weight change of different vehicle factors and the wheelbase of the finite element model to obtain a body-in-white weight change-wheelbase curve corresponding to the vehicle factor, including:

[0084] A finite element model building unit 401, a vehicle factor acquisition unit 402 and a weight change-wheelbase fitting unit 403;

[0085] The finite element model building unit 401 is used to build a first finite element model of the body-in-white of vehicle models with different wheelbase sizes;

[0086] The vehicle factor acquisition unit 402 is used to perform dimension parameterization on five factors, namely, front overhang, rear overhang, wheelbase, height and width, based on the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes, to obtain five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width;

[0087] The weight change-wheelbase fitting unit 403 is used to obtain the body-in-white weight change of five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, and fit them one by one with the wheelbase of the first finite element model to obtain the body-in-white weight change-wheelbase curve of the corresponding vehicle factor.

[0088] The parameter matching module 302 is used to match the corresponding preset basic vehicle model size parameters based on the size parameters of the new vehicle model to be evaluated;

[0089] The variation coefficient acquisition module 303 is used to obtain the vehicle factor variation coefficient based on the dimension parameters of the new vehicle model to be evaluated and the corresponding preset basic vehicle model dimension parameters;

[0090] The weight estimation module 304 is used to estimate the body-in-white weight of the new model to be evaluated based on the body-in-white weight change-wheelbase curve corresponding to the vehicle factor and the vehicle factor change coefficient, and obtain the body-in-white weight estimation result of the new model to be evaluated.

[0091] As an example of an embodiment of the present invention, the weight estimation module 304 is used to estimate the body-in-white weight of the new model to be evaluated based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor and the vehicle factor change coefficient, and obtain the body-in-white weight estimation result of the new model to be evaluated, including:

[0092] A weight change value acquisition unit 501, a weight change estimated value acquisition unit 502 and a vehicle body weight estimation unit 503;

[0093] The weight change value acquisition unit 501 is used to extract the weight change value of the corresponding vehicle factor under the corresponding wheelbase based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor;

[0094] The weight change estimated value acquisition unit 502 is used to multiply the weight change value of the corresponding vehicle factor at the corresponding wheelbase by the vehicle factor change coefficient to obtain the weight change estimated value;

[0095] The vehicle body weight estimation unit 503 is used to estimate the body-in-white weight of the new vehicle model to be evaluated based on the weight change estimation value, and obtain a body-in-white weight estimation result of the new vehicle model to be evaluated.

[0096] The embodiment of the present invention proposes a body-in-white weight estimation system with dimension parameterization, which constructs a finite element model through a curve fitting module and uses different wheelbase dimensions as references to fit the weight changes of different vehicle factors into a body-in-white weight change-wheelbase curve corresponding to the vehicle factor, so as to provide data reference for subsequent weight estimation, and matches the corresponding preset basic vehicle model dimension parameters through a parameter matching module, and can calculate the difference in vehicle factor changes between the new model to be evaluated and the preset basic model through a variation coefficient acquisition module. When the weight estimation module estimates the weight of the new model to be evaluated, in addition to considering the difference in vehicle factor changes, the weight estimation result can also be obtained through the body-in-white weight change-wheelbase curve corresponding to the vehicle factor. The results are adjusted dynamically, thereby improving the accuracy of vehicle weight estimation by fully considering the differences between the model to be evaluated and the preset basic model; the finite element model of the body-in-white of models with different wheelbase sizes is constructed by the finite element model construction unit, and the size parameterization of the five vehicle factors of front overhang, rear overhang, wheelbase, height and width is performed through the vehicle factor acquisition unit, and then the influence of each factor on the body-in-white weight is analyzed, and then the weight change-wheelbase fitting unit is used to fit the body-in-white weight changes of the five vehicle factors with the wheelbase one by one, and the weight change-wheelbase curve corresponding to each factor is obtained, which can accurately reflect the influence trend of the vehicle factor change on the vehicle weight, thereby improving the accuracy of vehicle weight estimation.

[0097] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

[0098] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the described specific features, structures, materials or characteristics may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0099] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

Claims

1. A dimensionally parameterized body-in-white weight estimation method, characterized in that: include: Constructing finite element models of body-in-white of vehicles with different wheelbase sizes, fitting the weight changes of different vehicle factors and the wheelbase of the finite element model, and obtaining a body-in-white weight change-wheelbase curve corresponding to the vehicle factor; Based on the size parameters of the new model to be evaluated, the size parameters of the corresponding preset basic model are matched; Obtaining a vehicle factor variation coefficient based on the dimension parameters of the new vehicle model to be evaluated and the corresponding dimension parameters of the preset basic vehicle model; Based on the body-in-white weight change-wheelbase curve corresponding to the vehicle factor and the vehicle factor change coefficient, the body-in-white weight of the new model to be evaluated is estimated to obtain a body-in-white weight estimation result of the new model to be evaluated.

2. The method for estimating the weight of a body-in-white with dimension parameterization according to claim 1, characterized in that: The body-in-white finite element model of the vehicle model with different wheelbase sizes is constructed, and the weight change of different vehicle factors and the wheelbase of the finite element model are fitted to obtain the body-in-white weight change-wheelbase curve corresponding to the vehicle factor, including: Construct the first finite element model of the body-in-white of vehicles with different wheelbase sizes; Based on the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes, the five factors of front overhang, rear overhang, wheelbase, height and width are parameterized to obtain the five vehicle factors of front overhang, rear overhang, wheelbase, height and width; The weight change of the body-in-white with changes in five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, is obtained, and the wheelbase of the first finite element model is fitted one by one to obtain the weight change-wheelbase curve of the body-in-white corresponding to the vehicle factor.

3. The method for estimating the weight of a body-in-white with dimension parameterization according to claim 2, characterized in that: The step of obtaining the weight change of the body-in-white with changes in five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, and fitting them one by one with the wheelbase of the first finite element model to obtain the body-in-white weight change-wheelbase curve corresponding to the vehicle factors includes: Based on the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes, five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, are subjected to tensile deformation by preset tensile deformation values ​​to obtain a second finite element model of the body-in-white of the vehicle model with different wheelbase sizes; Subtracting the corresponding vehicle factors in the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes and the second finite element model of the body-in-white of the vehicle model with different wheelbase sizes, to obtain the weight change of the body-in-white when the five vehicle factors of front overhang, rear overhang, wheelbase, height and width are changed; The body-in-white weight change due to changes in the five vehicle factors of front overhang, rear overhang, wheelbase, height and width is fitted one by one with the wheelbase of the first finite element model of the body-in-white of the vehicle models with different wheelbase sizes, so as to obtain the body-in-white weight change-wheelbase curve corresponding to the vehicle factor.

4. The method for estimating the weight of a body-in-white with dimension parameterization according to claim 3, characterized in that: The matching of the corresponding preset basic vehicle size parameters based on the size parameters of the new vehicle model to be evaluated includes: Obtaining the size parameters of the new model to be evaluated and the size parameters of several preset basic models; Subtracting the dimension parameters of the new vehicle model to be evaluated from the dimension parameters of the plurality of preset basic vehicle models one by one to obtain a plurality of dimension parameter difference values; Based on the plurality of size parameter difference values, preset basic vehicle model size parameters that meet preset difference requirements are matched.

5. The method for estimating the weight of a body-in-white with dimension parameterization according to claim 4, characterized in that: Based on the dimension parameters of the new vehicle model to be evaluated and the corresponding dimension parameters of the preset basic vehicle model, a vehicle factor variation coefficient is obtained, including: Obtaining a vehicle factor change based on a size parameter difference between the size parameters of the new vehicle model to be evaluated and the size parameters of the corresponding preset basic vehicle model; The vehicle factor change amount is divided by the preset tensile deformation value to obtain a vehicle factor change coefficient.

6. The method for estimating the weight of a body-in-white with dimension parameters as claimed in claim 5, characterized in that: Based on the body-in-white weight change-wheelbase curve corresponding to the vehicle factor and the vehicle factor change coefficient, the body-in-white weight of the new model to be evaluated is estimated to obtain the body-in-white weight estimation result of the new model to be evaluated, including: Based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor, extracting the weight change value of the corresponding vehicle factor at the corresponding wheelbase; Multiplying the weight change value of the corresponding vehicle factor at the corresponding wheelbase by the vehicle factor change coefficient to obtain a weight change estimate; Based on the weight change estimate, the body-in-white weight of the new model to be evaluated is estimated to obtain a body-in-white weight estimation result of the new model to be evaluated.

7. The method for estimating the weight of a body-in-white with dimension parameterization according to claim 6, characterized in that: Based on the weight change estimate, the body-in-white weight of the new model to be evaluated is estimated, and the body-in-white weight estimation result of the new model to be evaluated is obtained, including: Obtaining a preset basic vehicle body-in-white weight whose size parameter difference value meets the preset difference requirement; The weight change estimate value is added to the preset base vehicle body-in-white weight whose dimension parameter difference value meets the preset difference requirement to obtain the estimated result of the body-in-white weight of the new vehicle model to be evaluated.

8. A dimensionally parameterized body-in-white weight estimation system, characterized in that: Executing a dimensionally parameterized body-in-white weight estimation method according to any one of claims 1 to 7, comprising: Curve fitting module, parameter matching module, variation coefficient acquisition module and weight estimation module; The curve fitting module is used to construct a body-in-white finite element model of a vehicle model with different wheelbase sizes, and to fit the weight change of different vehicle factors and the wheelbase of the finite element model to obtain a body-in-white weight change-wheelbase curve corresponding to the vehicle factor; The parameter matching module is used to match the corresponding preset basic vehicle size parameters based on the size parameters of the new vehicle to be evaluated; The variation coefficient acquisition module is used to obtain the vehicle factor variation coefficient based on the dimension parameters of the new vehicle model to be evaluated and the corresponding preset basic vehicle model dimension parameters; The weight estimation module is used to estimate the body-in-white weight of the new model to be evaluated based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor and the vehicle factor change coefficient, and obtain the body-in-white weight estimation result of the new model to be evaluated.

9. A dimensionally parameterized body-in-white weight estimation system as claimed in claim 8, characterized in that: The curve fitting module is used to construct a body-in-white finite element model of a vehicle model with different wheelbase sizes, and to fit the weight change of different vehicle factors and the wheelbase of the finite element model to obtain a body-in-white weight change-wheelbase curve corresponding to the vehicle factor, including: Finite element model building unit, vehicle factor acquisition unit and weight change-wheelbase fitting unit; The finite element model building unit is used to build a first finite element model of the body-in-white of vehicle models with different wheelbase sizes; The vehicle factor acquisition unit is used to perform dimension parameterization on five factors, namely, front overhang, rear overhang, wheelbase, height and width, based on the first finite element model of the body-in-white of the vehicle model with different wheelbase sizes, to obtain five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width; The weight change-wheelbase fitting unit is used to obtain the body-in-white weight change due to changes in five vehicle factors, namely, front overhang, rear overhang, wheelbase, height and width, and to fit them one by one with the wheelbase of the first finite element model to obtain the body-in-white weight change-wheelbase curve corresponding to the vehicle factor.

10. The body-in-white weight estimation system with dimension parameterization according to claim 8, characterized in that: The weight estimation module is used to estimate the body-in-white weight of the new model to be evaluated based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor and the vehicle factor change coefficient, and obtain the body-in-white weight estimation result of the new model to be evaluated, including: A weight change value acquisition unit, a weight change estimated value acquisition unit and a vehicle body weight estimation unit; The weight change value acquisition unit is used to extract the weight change value of the corresponding vehicle factor at the corresponding wheelbase based on the body-in-white weight change-wheelbase curve of the corresponding vehicle factor; The weight change estimated value acquisition unit is used to multiply the weight change value of the corresponding vehicle factor at the corresponding wheelbase by the vehicle factor change coefficient to obtain the weight change estimated value; The vehicle body weight estimation unit is used to estimate the body-in-white weight of the new vehicle model to be evaluated based on the weight change estimation value, and obtain a body-in-white weight estimation result of the new vehicle model to be evaluated.

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