CN114462144A

CN114462144A - Structure optimization method and device for automobile B column and computer storage medium

Info

Publication number: CN114462144A
Application number: CN202210066996.0A
Authority: CN
Inventors: 汪伟; 刘素红; 曾婷; 涂金刚; 余艳月; 毕诗宏; 李平; 李文凭
Original assignee: Chery Automobile Co Ltd
Current assignee: Chery Automobile Co Ltd
Priority date: 2022-01-20
Filing date: 2022-01-20
Publication date: 2022-05-10

Abstract

The embodiment of the application discloses a structural optimization method for an automobile B column, and belongs to the technical field of vehicle engineering. The method comprises the following steps: acquiring a structural model of an automobile B column and a whole automobile side collision model, wherein the whole automobile side collision model is used for simulating and simulating side collision of the automobile; determining a target weight based on the structural model and the whole vehicle side collision model, wherein the target weight is the minimum weight of the B column when the vehicle meets a collision constraint condition; and determining the B column structural parameter corresponding to the target weight as a first structural parameter after the B column is optimized. According to the embodiment of the application, the collision condition of the B column under different side working conditions is simulated through the structural model of the B column and the whole vehicle side collision model, and the structural parameter corresponding to the minimum weight of the B column when the vehicle meets the collision constraint condition is determined as the structural parameter after the B column is optimized, so that the optimized B column structure meets the collision resistance and also meets the light weight requirement of the vehicle.

Description

Structure optimization method and device for automobile B column and computer storage medium

Technical Field

The embodiment of the application relates to the technical field of vehicle engineering, in particular to a structural optimization method and device for an automobile B column and a computer storage medium.

Background

With the concern of people on the environment, the automobile lightweight technology becomes one of the development ways for realizing energy conservation and emission reduction and completing the goals of carbon peak reaching and carbon neutralization as soon as possible. However, when the weight of the vehicle is reduced, the collision safety performance of the vehicle must be considered, for example, when the B-pillar of the vehicle collides in front or rear, especially in side collision, the B-pillar plays an important role in the safety of the vehicle, and therefore, the structure of the B-pillar needs to have a certain strength to meet the collision requirement.

However, in order to make the B-pillar satisfy the requirements of rigidity and crashworthiness, the B-pillar is generally heavy and difficult to satisfy the requirements of lightweight automobile, and when the B-pillar satisfies the requirements of lightweight automobile, the B-pillar is difficult to satisfy the requirements of crashworthiness, so that a method for optimizing the structure of the B-pillar is needed to satisfy the requirements of lightweight automobile body and crashworthiness.

Disclosure of Invention

The embodiment of the application provides a structural optimization method and device of an automobile B-pillar and a computer storage medium, which can be used for solving the problem that the B-pillar structure in the related technology is difficult to meet the requirements of light weight and crashworthiness of an automobile body at the same time. The technical scheme is as follows:

in one aspect, a method for optimizing the structure of a B-pillar of an automobile is provided, the method comprising:

acquiring a structural model of an automobile B column and a whole automobile side collision model, wherein the whole automobile side collision model is used for simulating and simulating side collision of the automobile;

determining a target weight based on the structural model and the whole vehicle side collision model, wherein the target weight is the minimum weight of the B column when the vehicle meets a collision constraint condition;

and determining the B column structural parameter corresponding to the target weight as a first structural parameter after the B column is optimized.

In some embodiments, the obtaining a structural model of a B-pillar of an automobile comprises:

acquiring structural design information of the B column;

carrying out parametric representation on the structural design information of the B column to obtain a structural parametric model of the B column, and determining the structural parametric model of the B column as the structural model of the B column; alternatively, the first and second electrodes may be,

and building a structural model of the B column according to a preset proportion and the structural design information of the B column, wherein the preset proportion is the proportion between the structural model of the B column and the solid structure of the B column.

In some embodiments, said determining a target weight based on said structural model and said full vehicle side impact model comprises:

simulating and simulating collision parameters of the automobile under different side collision working conditions based on the structural model and the whole automobile side collision model;

determining the target weight of the B-pillar when the collision parameter meets the collision constraint condition.

In some embodiments, the simulating and simulating the collision parameters of the vehicle under different side collision conditions based on the structural model and the whole vehicle side collision model includes:

acquiring structural design experience data of the B column;

sampling design variables of the structural design empirical data to obtain design variable sampling data;

updating the structural model according to the data variable sampling data;

and simulating collision parameters of the automobile under different side collision working conditions based on the updated structure model and the whole automobile side collision model.

In some embodiments, after simulating the collision parameters of the vehicle under different side collision conditions based on the updated structural model and the entire vehicle side collision model, the method further includes:

constructing a mathematical proxy model based on the collision parameters, wherein the mathematical proxy model is used for replacing the whole vehicle side collision model to perform collision simulation;

and determining the second structure parameter after the B column optimization from the mathematical proxy model by optimizing a particle swarm optimization algorithm.

In some embodiments, before determining the second optimized structural parameter of the B-pillar from the mathematical proxy model by optimizing a particle swarm optimization algorithm, the method further includes:

performing precision verification on the mathematical proxy model;

and when the precision of the mathematical proxy model meets the precision requirement, executing the operation of determining the second structure parameter after the B column optimization from the mathematical proxy model by optimizing a particle swarm optimization algorithm.

obtaining reliability optimization design conditions;

correspondingly, the determining the second structure parameter after the B-pillar optimization from the mathematical proxy model by optimizing a particle swarm optimization algorithm includes:

and under the condition of meeting the reliability optimization design condition, determining the second structure parameter after the B column optimization from the mathematical proxy model through the optimization particle swarm optimization algorithm.

In some embodiments, after determining the second optimized structural parameter of the B-pillar from the mathematical proxy model by optimizing a particle swarm optimization algorithm, the method further includes:

substituting the second structural parameter into the whole vehicle side collision model for analog simulation to obtain a reference weight;

and when the error between the reference weight and the structural weight of the B column corresponding to the second structural parameter is within an error range, determining the second structural parameter as the optimized structural parameter of the B column.

In another aspect, there is provided a structural optimization device for a B-pillar of an automobile, the device including:

the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a structural model of a B column of an automobile and a whole automobile side collision model, and the whole automobile side collision model is used for simulating and simulating side collision of the automobile;

the first determination module is used for determining a target weight based on the structural model and the whole vehicle side collision model, wherein the target weight is the minimum weight of the B column when the vehicle meets a collision constraint condition;

and the second determining module is used for determining the B column structural parameters corresponding to the target weight as the first structural parameters after the B column is optimized.

In some embodiments, the obtaining module comprises:

the first acquisition submodule is used for acquiring structural design information of the B column;

the parameterization submodule is used for carrying out parameterization representation on the structural design information of the B column to obtain a structural parameterization model of the B column and determining the structural parameterization model of the B column as the structural model of the B column; alternatively, the first and second electrodes may be,

and the building submodule is used for building a structural model of the B column according to a preset proportion and the structural design information of the B column, wherein the preset proportion is the proportion between the structural model of the B column and the entity structure of the B column.

In some embodiments, the first determination submodule comprises:

the first simulation submodule is used for simulating and simulating collision parameters of the automobile under different side collision working conditions based on the structural model and the whole automobile side collision model;

a first determining submodule for determining a target weight of the B-pillar when the collision parameter satisfies the collision constraint condition.

In some embodiments, the first analog simulation sub-module is configured to:

acquiring structural design experience data of the B column;

updating the structural model according to the data variable sampling data;

In some embodiments, the first determining module further comprises:

the second construction submodule is used for constructing a mathematical proxy model based on the collision parameters, and the mathematical proxy model is used for replacing the whole vehicle side collision model to perform collision simulation;

and the second determining submodule is used for determining the second structure parameter after the B column is optimized from the mathematical proxy model through an optimization particle swarm optimization algorithm.

In some embodiments, the first determining module further comprises:

the verification submodule is used for performing precision verification on the mathematical proxy model;

and the triggering sub-module is used for triggering the second determining sub-module to determine the optimized second structural parameters of the B column from the mathematical proxy model by optimizing a particle swarm optimization algorithm when the precision of the mathematical proxy model meets the precision requirement.

In some embodiments, the first determining module further comprises:

the second obtaining submodule is used for obtaining reliability optimization design conditions;

accordingly, the second determination submodule is configured to:

In some embodiments, the first determining module further comprises:

the second simulation submodule is used for substituting the second structural parameter into the whole vehicle side collision model for simulation so as to obtain a reference weight;

and the third determining submodule is used for determining the second structural parameter as the optimized structural parameter of the B column when the error between the reference weight and the structural weight of the B column corresponding to the second structural parameter is within an error range.

In another aspect, a computer-readable storage medium is provided, which has instructions stored thereon, and the instructions, when executed by a processor, implement any one of the steps of the above-provided structural optimization method for a B-pillar of an automobile.

The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:

in the embodiment of the application, the collision condition of the B column under different side working conditions is simulated through the structural model of the B column and the side collision model of the whole automobile, and the structural parameter corresponding to the minimum weight of the B column when the automobile meets the collision constraint condition is determined as the optimized structural parameter of the B column, so that the optimized B column structure meets the collision resistance and also meets the light weight requirement of the automobile.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic structural diagram of a B-pillar of an automobile according to an embodiment of the present disclosure;

FIG. 2 is a flow chart of a method for optimizing the structure of a B-pillar of an automobile according to an embodiment of the present disclosure;

FIG. 3 is a flow chart of another method for optimizing the structure of a B-pillar of an automobile according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a structural parameterized model of a B-pillar provided in an embodiment of the present application;

FIG. 5 is a schematic structural diagram of a structural optimization device for a B-pillar of an automobile according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of an acquisition module according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of a first determination submodule provided in an embodiment of the present application;

fig. 8 is a schematic structural diagram of a terminal according to an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the embodiments of the present application more clear, the embodiments of the present application will be further described in detail with reference to the accompanying drawings.

Before explaining the structure optimization method of the B-pillar of the automobile provided by the embodiment of the present application in detail, an application scenario, a B-pillar structure and a B-pillar manufacturing method provided by the embodiment of the present application are explained first.

First, an application scenario provided in the embodiment of the present application is explained.

The B-pillar of an automobile, also called a center pillar, is disposed between a front door and a rear door of a cockpit and extends from a roof to a bottom of the automobile, and needs to simultaneously bear pressure from a roof and a door; meanwhile, the B column is additionally provided with some additional parts on one side of the interior of the vehicle body, such as a front safety belt; in addition, when the automobile is in a side collision, the B column of the automobile upwards transmits force to the A column upper edge beam and the roof of the automobile, and downwards loads are transmitted to the doorsill and the bottom of the automobile. Therefore, the B column has a key function of bearing the upper part and the lower part in the automobile, so that the B column needs to have enough strength and rigidity in order to meet the continuous force transmission requirement and the installation requirement, and meanwhile, on the premise of ensuring the side collision resistance, the structural weight of the B column needs to be reduced, the weight of the B column is reduced, and the development cost is reduced.

Based on the application scene, the embodiment of the application provides the structural optimization method of the automobile B column, which gives consideration to the crashworthiness and the light weight of the B column structure.

Next, a structure of a B-pillar of an automobile provided in an embodiment of the present application will be explained.

In the process of side collision of an automobile, in order to realize an ideal deformation model of an S-shaped B column, the upper part of the B column is generally required to be slightly deformed so as to strive for more space for the head of a passenger and reduce the head injury value; meanwhile, the root of the B column is required to bend and deform towards the inside of the vehicle, and the middle area of the B column is prevented from bending, so that enough passenger living space and enough side airbag unfolding space are ensured, and the chest injury value of passengers is reduced.

In order to meet the above requirements, the embodiments of the present application provide a structural schematic diagram of a B-pillar of an automobile, wherein the B-pillar is a TRB (continuous Rolled slab) structure, and the B-pillar is made of an ultra-high strength steel material. In order to achieve a reasonable stiffness distribution, the thickness of the B-pillar in each region of the Z-direction height is different. Referring to fig. 1, a Z-direction height 1/3 of the root of the B-pillar is taken as a reference line, and a plurality of functional areas with different thicknesses are divided for B, wherein the reference line is upward, namely area 1, area 2, area 3 and area 4, and the reference line is downward, namely area 5 and area 6, the thicknesses in the areas are the same, and the areas have different thicknesses according to different rigidity requirements. Transition regions are arranged between different functional regions, the continuous and uniform transition of the material thickness is realized through a flexible rolling process, and the ratio of the thickness difference of two adjacent functional regions to the Z-direction length of the corresponding transition region is 1: 100.

As an example, the region 2 at the upper middle of the B-pillar includes a door hinge mounting point, and therefore, the structure of the region 2 has a large thickness, so that the occurrence of plastic hinge bending can be avoided. The area 4 at the top of the B column and the A column boundary beam form a T-shaped and triangular lapping form, so that the load is transmitted to the upper part of the vehicle body from the B column, and the stability of the vehicle body is improved. Region 3 is a functional region between

regions

2 and 4, and has a thickness in between. The root of the B column is a functional area 6, and is also lapped with the threshold in a T-shaped and triangular combination mode, so that the load is stably transferred to the lower automobile body. To achieve the desired B-pillar deformation mode, the structure of region 6 has a minimum thickness, and the material thicknesses of region 2, region 1, region 5, and region 6 decrease in sequence to ensure that the buckling point of the B-pillar occurs at the root position in a side collision.

Next, a method for manufacturing a B-pillar structure provided in an embodiment of the present application will be explained.

In the embodiment of the application, the manufacturing and forming of the TRB structure B column are divided into two steps: step one, processing the plate with the selected specification through a flexible rolling process, and adjusting the rolling force, the rolling speed and the distance between rollers in real time according to the thickness parameters designed in different functional areas in the rolling process to obtain the continuous variable thickness plate required along the rolling direction. And step two, stamping forming, namely performing die stamping on the variable-thickness plate obtained by the flexible rolling process to finally obtain the functional part of the B-pillar TRB structure.

It is worth mentioning that the B-pillar in TRB structure form has the structural advantages over the combination of equal thickness sheet metal and reinforcing member: structural style is simple, can be used in suitable place with the material, weight reduction when improving material utilization rate compares in laser mosaic structure form B post, has realized the even transition of structure between different thickness functional areas, replaces the welding seam with continuous thickness variation transition region, and the structure has better surface quality and higher joint strength, more is favorable to the performance needs of high-speed collision.

In order to facilitate understanding of the outer B-pillar structure provided in the embodiments of the present application, the Z-direction related to the embodiments of the present application will now be explained.

In the embodiment of the application, when a user enters a driver seat of an automobile and correctly sits on the driver seat, the direction of the user who looks at the front windshield with two eyes is the automobile length direction, and can also be called as the X direction; the direction of the user looking at the copilot by eyes is the vehicle width direction, which can also be called as Y direction; the direction in which the user looks at the roof with both eyes is called the vehicle height direction, and may also be called the Z direction.

Fig. 2 is a flowchart of a method for optimizing a structure of a B-pillar of an automobile according to an embodiment of the present application, where the method for optimizing a structure of a B-pillar of an automobile may include the following steps:

step 201: and acquiring a structural model of the B column of the automobile and a whole automobile side collision model, wherein the whole automobile side collision model is used for simulating and simulating side collision of the automobile.

Step 202: and determining a target weight based on the structural model and the whole vehicle side collision model, wherein the target weight is the minimum weight of the B column when the vehicle meets the collision constraint condition.

Step 203: and determining the B-pillar structural parameter corresponding to the target weight as the first structural parameter after the B-pillar is optimized.

In some embodiments, obtaining a structural model of a B-pillar of an automobile comprises:

acquiring structural design information of the B column;

In some embodiments, determining a target weight based on the structural model and the full vehicle side impact model includes:

determining a target weight of the B-pillar when the collision parameter satisfies the collision constraint.

In some embodiments, simulating the collision parameters of the vehicle under different side collision conditions based on the structural model and the whole vehicle side collision model comprises:

acquiring structural design experience data of the B column;

sampling design variables of the structure design experience data to obtain design variable sampling data;

updating the structural model according to the data variable sampling data;

In some embodiments, after simulating the collision parameters of the vehicle under different side collision conditions based on the updated structural model and the whole vehicle side collision model, the method further includes:

performing precision verification on the mathematical proxy model;

obtaining reliability optimization design conditions;

correspondingly, determining the second structure parameter after the B column optimization from the mathematical proxy model by optimizing a particle swarm optimization algorithm, wherein the second structure parameter comprises the following steps:

bringing the second structural parameter into the vehicle side collision model for analog simulation to obtain a reference weight;

All the above optional technical solutions can be combined arbitrarily to form an optional embodiment of the present application, and the present application embodiment is not described in detail again.

Fig. 3 is a flowchart of a method for optimizing a structure of a B-pillar of an automobile according to an embodiment of the present application, where the method for optimizing a structure of a B-pillar of an automobile is applied to a terminal for example, and the method for optimizing a structure of a B-pillar of an automobile may include the following steps:

step 301: the terminal obtains a structural model of the B column of the automobile and a side collision model of the whole automobile.

It should be noted that the whole vehicle side impact model is used for simulating and simulating side impact on the vehicle. The structural model is used for simulating the B column structure of the automobile.

Since the structural model is used for simulating the structure of the automobile B, the structural model may be a virtual model in a proportional relationship with a solid structure, or may be a parameterized model described by parameters.

As an example, the operation of the terminal acquiring the structural model of the B-pillar of the automobile includes: acquiring structural design information of a B column; carrying out parametric representation on the structural design information of the B column to obtain a structural parametric model of the B column, and determining the structural parametric model of the B column as the structural model of the B column; or building a structural model of the B column according to a preset proportion and structural design information of the B column, wherein the preset proportion is the proportion between the structural model of the B column and the solid structure of the B column.

It should be noted that the structural design information of the B-pillar includes the material thickness of each of the plurality of functional regions included in the B-pillar, the region length of each functional region in the vehicle height direction, the transition length of the transition region between two adjacent functional regions in the vehicle height direction, and the like. The preset proportion is preset according to requirements, for example, the preset proportion is 1: 100. 1: 200, etc.

It is worth to be noted that the structure of the B column is a TRB structure, and after a parameterized modeling method is adopted for modeling, the rapid updating of a structural model is facilitated.

In some embodiments, in the structural parameterized model of the B-pillar, see FIG. 4, the material thickness of each functional region of the B-pillar is denoted by t_iThe position parameter of each region is represented by x_iAnd l_ijIs represented by, wherein x_iIs the Z-direction length of the region i, l_ijThe Z-direction length of the transition region between the two regions i and j of the vector is indicated.

In some embodiments, the terminal may build a structural model of the B-pillar of the automobile in the analog simulation application program when receiving the first building instruction, and build a side collision model of the whole automobile in the analog simulation application program when receiving the second building instruction.

In some embodiments, the simulation application program for building the structural model of the B-pillar and the simulation application program for building the side collision model of the whole vehicle may be the same application program or different application programs. The simulation application may be an Acar application, a Matlab application, or the like.

It should be noted that the terminal can not only build the structural model of the B-pillar of the automobile and the side collision model of the whole automobile in the simulation application program when receiving the first building instruction and the second building instruction, but also obtain the built structural model of the B-pillar of the automobile and the side collision model of the whole automobile from the storage file when receiving the obtaining instruction, and load the obtained structural model and the side collision model of the whole automobile into the corresponding simulation application program.

It should be noted that the first building instruction, the second building instruction, and the obtaining instruction can be triggered when a user acts on a display interface of a corresponding analog simulation application program through a specified operation, where the specified operation can be a click operation, a slide operation, a voice operation, and so on.

In some embodiments, before the terminal builds the structural model of the automobile B-pillar and the whole automobile side collision model in the simulation application program, the terminal can also receive a starting instruction and operate the simulation application program according to the starting instruction.

It should be noted that the start instruction can be triggered when a user acts on an identifier of an analog simulation application program displayed in the terminal through a specified operation, and the identifier of the analog simulation application program can be an image identifier and/or a character identifier.

In some embodiments, after the terminal obtains the whole vehicle side collision model, a benchmarking experiment may be performed on the whole vehicle side collision model to improve the precision of the whole vehicle side collision model. Or the terminal directly acquires the whole vehicle side collision model subjected to the benchmarking test.

It should be noted that, in the embodiment of the present application, the order of the structural model for building the B-pillar at the terminal and the whole vehicle side collision model is not limited. And the operation that the terminal builds the structural model of the B column in the simulation application program, the operation that the terminal builds the whole vehicle side collision model in the simulation application program, and the operation that the terminal carries out the benchmarking experiment on the whole vehicle side collision model can refer to the correlation technique, and this application embodiment is no longer repeated one by one.

Step 302: and the terminal determines the target weight based on the structural model and the whole vehicle side collision model.

The target weight is the minimum weight of the B-pillar when the vehicle satisfies the collision constraint condition.

The purpose of optimizing the B column structure is to ensure that the minimum weight of the B column structure is obtained on the premise that the collision resistance of the automobile under different side collision working conditions is met, so that the terminal can determine the target weight based on a structural model and an entire automobile side collision model.

In some embodiments, the crash constraints include constraints for each crash condition, such as maximum intrusion I into the B-pillar of the C-NCAP₁Maximum amount of B column invasion I in Euro-NCAP₂And the maximum passenger living space D in the C-IASI is taken as a constraint condition.

In some embodiments, the operation of determining the target weight by the terminal based on the structural model and the full vehicle side collision model includes: simulating collision parameters of the simulated automobile under different side collision working conditions based on the structural model and the whole automobile side collision model; and determining the target weight of the B column when the collision parameters meet the collision constraint conditions.

The collision parameters include the amount of B-pillar intrusion, the size of the passenger space, the structural weight of the B-pillar, and the thickness and position parameters of the respective regions of the B-pillar corresponding to each structural weight of the B-pillar.

In some embodiments, the terminal sets the thickness parameter and the position parameter of different functional regions as variables of the structural model of the B-pillar, and sets the thickness parameter and the position parameter to fluctuate within a certain range. In the process of analog simulation, the thickness parameter and the position parameter can be changed to perform analog simulation of different side impact working conditions.

To further optimize the B-pillar structure, the terminal may also expand the fluctuation range of the thickness parameter and the position parameter, as further described below.

As an example, the terminal is based on a structural model and a whole vehicle side collision model, and the operation of simulating collision parameters of the vehicle under different side collision working conditions comprises the following steps: acquiring structural design experience data of the B column; sampling design variables of the structural design empirical data to obtain design variable sampling data; updating the structural model according to the data variable sampling data; and simulating collision parameters of the simulated automobile under different side collision working conditions based on the updated structure model and the whole automobile side collision model.

It should be noted that the empirical data of the B-pillar structural design includes structural design parameters of the B-pillar of other types of automobiles, and the like.

As an example, the operation of the terminal to sample design variables from the structural design experience data includes: and sampling in the structural design empirical data by adopting an optimal Latin hypercube design method to obtain design variable sampling data, wherein the design variable sampling data comprises thickness parameters of all regions of the B column and position parameters of all regions.

It should be noted that, when sampling the thickness variable, the sampling is performed in the form of an integral number, for example, 1.0mm (millimeter), 1.05mm, 1.1mm, 2.95mm, 3.0mm, and the like.

In some embodiments, the terminal may also sample the structural design empirical data according to other manners, for example, a specified number of design variable sample data is selected from the structural design empirical data according to a random sampling manner.

It should be noted that, the terminal adopts the optimal latin hypercube design method to sample in the structure design empirical data, and the operation of obtaining design variable sampling data may refer to the related art, which is not described in detail in the embodiments of the present application.

In some embodiments, the terminal updating the structural model according to the data variable sampling data may be an update of a fluctuation range of a variable in the structural model.

In some embodiments, after the terminal obtains the collision parameters through simulation, the following operation of step 303 may be directly performed to obtain the structure parameters after the B-pillar structure is optimized. In order to further improve the accuracy of the optimization of the B-pillar structure, the terminal may not perform the operation of step 303, and further optimize the B-pillar structure through other operations.

As an example, the operation of the terminal to further optimize the B-pillar structure includes: constructing a mathematical proxy model based on the collision parameters, wherein the mathematical proxy model is used for replacing a whole vehicle side collision model to perform collision simulation; and determining a second structure parameter after the B column is optimized from the mathematical proxy model by optimizing a particle swarm optimization algorithm.

Because the collision parameters comprise the structural weight of the B column and the thickness parameters and the position parameters of each region of the B column corresponding to each structural weight of the B column, the terminal can perform numerical fitting on the thickness parameters and the position parameters corresponding to the target weight by adopting a Kelly model after the mixed function optimization to obtain a mathematical proxy model.

As an example, the mathematical proxy model may be a model shown in a first formula described below.

In the first formula (1), M (x, t) is a function of the structural weight of the B-pillar with respect to the design variables x and t, I₁(x，t)、I₂(x, t) and D (x, t) respectively represent response functions under three different side impact working conditions corresponding to design variables x and t, wherein x^UAnd x^LTo design the upper and lower limits of the variable x, t^UAnd t^LThe upper and lower limits of the variable t are designed.

In some embodiments, the terminal may also construct the mathematical proxy model in other ways, such as by a single kernel function based on the collision parameter.

It should be noted that, the operation of obtaining the mathematical agent model by performing numerical fitting on the thickness parameter and the position parameter corresponding to the target weight by using the kriging model after the hybrid function optimization by the terminal, and the operation of constructing the mathematical agent model by the single kernel function based on the collision parameter by the terminal may refer to related technologies, which are not described in detail in the embodiment of the present application.

In some embodiments, the terminal determines an optimal solution of the mathematical proxy model by optimizing a particle swarm optimization algorithm, where the optimal solution is a second structural parameter corresponding to the minimum structural weight of the B-pillar.

It should be noted that, the operation of determining the optimal solution of the mathematical proxy model by optimizing the particle swarm optimization algorithm by the terminal may also refer to the related art.

In some embodiments, before determining the second structure parameter after the optimization of the column B from the mathematical proxy model by the terminal through the optimization particle swarm optimization algorithm, the terminal may perform precision verification on the mathematical proxy model; and when the precision of the mathematical proxy model meets the precision requirement, executing the operation of determining the second structure parameters after the B column optimization from the mathematical proxy model by optimizing the particle swarm optimization algorithm. When the progress of the mathematical proxy model does not meet the precision requirement, the sample points of the collision parameters can be increased, and the mathematical proxy model is reconstructed according to the collision parameters of the increased sample points.

In some embodiments, the terminal may pass a deterministic coefficient (R)²) Root Mean Square Error (RMSE), and maximum absolute relative error (max (re)) to verify the accuracy of the mathematical proxy model. The mathematical expression of each error analysis index is as shown in the second formula below.

In the second formula (2), n is the number of verification sample points, and y is_iRepresenting the true response value of the ith verification sample point,

for the predicted response value at the ith verification sample point,

is the average of all true response values.

In some embodiments, generally the smaller the value of RMSE and max (RE), the smaller R²The closer to 1, the higher the accuracy of the mathematical proxy model. Therefore, R is usually set²And (4) not less than 0.9, and max (RE) not more than 5 percent is used as a standard for evaluating whether the mathematical agent model can meet the precision.

In some embodiments, the predicted response value may be obtained by verifying an approximate model set in the application program, and the operation of performing precision verification on the mathematical agent model may refer to related technologies, which are not described in detail in this embodiment of the present application.

In order to further improve the optimization effect of the B-pillar structure, the terminal can also obtain reliability optimization design conditions; and under the condition of meeting the reliability optimization design condition, determining the second structure parameter after the B column is optimized from the mathematical proxy model by optimizing the particle swarm optimization algorithm.

The influence of uncertain factors such as actual production, manufacturing, environmental errors and the like on an optimization result is not considered in the deterministic optimization design optimizing process, so that the optimal solution is easy to deviate from a constraint boundary and cannot meet the target requirement. Therefore, the reliability optimization design is introduced on the basis of the deterministic optimization design scheme, and an optimization design formula can be expressed as a third formula.

In the third formula (3), μ (M (x, t)) is a variance of the objective function M, and P is a probability that a constraint function under a given condition is satisfied. In the embodiment of the application, to ensure I₁(x，t)、I₂And (x, t) and D (x, t) as an example, determining the optimal solution (optimization scheme) of the mathematical proxy model with the minimum variance, wherein the constraint conditions of the three response functions of (x, t) and D (x, t) meet the condition of 95% probability.

In some embodiments, the terminal can also verify the accuracy of the second structural parameter, that is, the terminal can bring the second structural parameter into a vehicle side collision model for analog simulation to obtain the reference weight; and when the error between the reference weight and the weight of the B-pillar structure corresponding to the second structural parameter is within the error range, determining the second structural parameter as the optimized structural parameter of the B-pillar.

The reference weight is the minimum weight of the B-pillar structure obtained by substituting the second structure parameter into the simulation of the memorable different side impact conditions in the vehicle side impact model.

Since the optimization result has higher reliability and effectiveness when the error between the reference weight and the weight of the B-pillar structure corresponding to the second structural parameter is within the error range, the second structural parameter can be determined as the structural parameter after the B-pillar optimization.

In some embodiments, when the error between the reference weight and the weight of the B-pillar structure corresponding to the second structural parameter is outside the error range, the following operation of step 303 may be performed; or updating the structural design empirical data of the B column and re-executing the operation of sampling the structural design empirical data.

Step 303: and the terminal determines the B-pillar structural parameter corresponding to the target weight as a first structural parameter after the B-pillar is optimized.

Since the target weight is the minimum weight of the B-pillar when the vehicle satisfies the collision constraint condition, the structural parameter corresponding to the target weight may be the first structural parameter after the B-pillar is optimized.

Step 304: and the terminal prompts the optimized structural parameters of the B column through prompt information.

As can be seen from the above, the structural parameter after the structure of the B-pillar is optimized may be the first structural parameter or the second structural parameter, and therefore, the structural parameter after the B-pillar is optimized, which is prompted by the terminal through the prompt message, is the first structural parameter or the second structural parameter.

It should be noted that the prompt message may be in the form of voice, text, video, etc.

In the embodiment of the application, the collision condition of the B column under different side working conditions is simulated through the structural model of the B column and the side collision model of the whole automobile, the structural parameter corresponding to the minimum weight of the B column when the automobile meets the collision constraint condition is determined as the optimized structural parameter of the B column, in addition, in order to improve the optimization effect, the B column is further optimized through a mathematical proxy model after simulation, and therefore the optimized B column structure meets the collision resistance and also meets the light weight requirement of the automobile.

Fig. 5 is a schematic structural diagram of a structural optimization device of an automobile B-pillar provided in an embodiment of the present application, where the structural optimization device of the automobile B-pillar may be implemented by software, hardware, or a combination of the two. The structural optimization device of the B-pillar of the automobile can comprise: an acquisition module 501, a first determination module 502, and a second determination module 503.

The acquiring module 501 is used for acquiring a structural model of a B column of an automobile and a whole automobile side collision model, wherein the whole automobile side collision model is used for simulating and simulating side collision of the automobile;

a first determining module 502, configured to determine a target weight based on the structural model and the entire vehicle side collision model, where the target weight is a minimum weight of the B-pillar when the vehicle satisfies a collision constraint condition;

a second determining module 503, configured to determine the B-pillar structural parameter corresponding to the target weight as the first structural parameter after the B-pillar is optimized.

In some embodiments, referring to fig. 6, the obtaining module 501 includes:

a first obtaining submodule 5011 for obtaining structural design information of the column B;

the parameterization submodule 5012 is used for carrying out parameterization representation on the structural design information of the B column to obtain a structural parameterization model of the B column, and determining the structural parameterization model of the B column as the structural model of the B column; alternatively, the first and second liquid crystal display panels may be,

and the building submodule 5013 is used for building a structural model of the B column according to a preset proportion and the structural design information of the B column, wherein the preset proportion is the proportion between the structural model of the B column and the entity structure of the B column.

In some embodiments, referring to fig. 7, the first determination submodule 502 includes:

the first simulation submodule 5021 is used for simulating and simulating collision parameters of the automobile under different side collision working conditions based on the structural model and the whole automobile side collision model;

a first determination submodule 5022 is used to determine a target weight of the B-pillar when the crash parameters meet the crash constraints.

In some embodiments, the first simulation submodule 5021 is configured to:

acquiring structural design experience data of the B column;

updating the structural model according to the data variable sampling data;

In some embodiments, the first determining module 502 further comprises:

and the triggering submodule is used for triggering the second determining submodule to determine the optimized second structural parameter of the B column from the mathematical proxy model by optimizing a particle swarm optimization algorithm when the precision of the mathematical proxy model meets the precision requirement.

In some embodiments, the first determining module 502 further comprises:

accordingly, the second determination submodule is configured to:

In some embodiments, the first determining module 502 further comprises:

It should be noted that: in the structure optimization device for a B-pillar of an automobile provided in the above embodiment, when the structure optimization of the B-pillar of the automobile is performed, only the division of the above functional modules is illustrated, and in practical applications, the above functions may be distributed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. In addition, the structure optimization device for the automobile B-pillar provided by the embodiment and the structure optimization method embodiment for the automobile B-pillar belong to the same concept, and specific implementation processes are detailed in the method embodiment and are not described again.

Fig. 8 shows a block diagram of a terminal 800 according to an exemplary embodiment of the present application. The terminal 800 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a notebook computer or a desktop computer. The terminal 800 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, etc.

In general, the terminal 800 includes: a processor 801 and a memory 802.

The processor 801 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so forth. The processor 801 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), PLA (Programmable Logic Array). The processor 801 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 801 may be integrated with a GPU (Graphics Processing Unit) which is responsible for rendering and drawing the content required to be displayed by the display screen. In some embodiments, the processor 801 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.

Memory 802 may include one or more computer-readable storage media, which may be non-transitory. Memory 802 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 802 is used to store at least one instruction for execution by processor 801 to implement the structural optimization method for an automotive B-pillar provided by the method embodiments herein.

In some embodiments, the terminal 800 may further include: a peripheral interface 803 and at least one peripheral. The processor 801, memory 802 and peripheral interface 803 may be connected by bus or signal lines. Various peripheral devices may be connected to peripheral interface 803 by a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 804, a display screen 805, a camera assembly 806, an audio circuit 807, a positioning assembly 808, and a power supply 809.

The peripheral interface 803 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 801 and the memory 802. In some embodiments, the processor 801, memory 802, and peripheral interface 803 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 801, the memory 802, and the peripheral interface 803 may be implemented on separate chips or circuit boards, which are not limited by this embodiment.

The Radio Frequency circuit 804 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 804 communicates with a communication network and other communication devices via electromagnetic signals. The rf circuit 804 converts an electrical signal into an electromagnetic signal to be transmitted, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 804 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuit 804 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the radio frequency circuit 804 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.

The display screen 805 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 805 is a touch display, the display 805 also has the ability to capture touch signals on or above the surface of the display 805. The touch signal may be input to the processor 801 as a control signal for processing. At this point, the display 805 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 805 may be one, providing the front panel of the terminal 800; in other embodiments, the display 805 may be at least two, respectively disposed on different surfaces of the terminal 800 or in a folded design; in other embodiments, the display 805 may be a flexible display disposed on a curved surface or a folded surface of the terminal 800. Even further, the display 805 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display 805 can be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and other materials.

The camera assembly 806 is used to capture images or video. Optionally, camera assembly 806 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 806 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

The audio circuit 807 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 801 for processing or inputting the electric signals to the radio frequency circuit 804 to realize voice communication. For the purpose of stereo sound collection or noise reduction, a plurality of microphones may be provided at different portions of the terminal 800. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 801 or the radio frequency circuit 804 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuitry 807 may also include a headphone jack.

The positioning component 808 is used to locate the current geographic position of the terminal 800 for navigation or LBS (Location Based Service). The Positioning component 808 may be a Positioning component based on the GPS (Global Positioning System) in the united states, the beidou System in china, the graves System in russia, or the galileo System in the european union.

Power supply 809 is used to provide power to various components in terminal 800. The power supply 809 can be ac, dc, disposable or rechargeable. When the power source 809 comprises a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, terminal 800 also includes one or more sensors 810. The one or more sensors 810 include, but are not limited to: acceleration sensor 811, gyro sensor 812, pressure sensor 813, fingerprint sensor 814, optical sensor 815 and proximity sensor 816.

The acceleration sensor 811 may detect the magnitude of acceleration in three coordinate axes of the coordinate system established with the terminal 800. For example, the acceleration sensor 811 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 801 may control the display 805 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 811. The acceleration sensor 811 may also be used for acquisition of motion data of a game or a user.

The gyro sensor 812 may detect a body direction and a rotation angle of the terminal 800, and the gyro sensor 812 may cooperate with the acceleration sensor 811 to acquire a 3D motion of the user with respect to the terminal 800. From the data collected by the gyro sensor 812, the processor 801 may implement the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

Pressure sensors 813 may be disposed on the side frames of terminal 800 and/or underneath display 805. When the pressure sensor 813 is disposed on the side frame of the terminal 800, the holding signal of the user to the terminal 800 can be detected, and the processor 801 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 813. When the pressure sensor 813 is disposed at a lower layer of the display screen 805, the processor 801 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 805. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The fingerprint sensor 814 is used for collecting a fingerprint of the user, and the processor 801 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 814, or the fingerprint sensor 814 identifies the identity of the user according to the collected fingerprint. Upon identifying that the user's identity is a trusted identity, the processor 801 authorizes the user to perform relevant sensitive operations including unlocking a screen, viewing encrypted information, downloading software, paying for and changing settings, etc. Fingerprint sensor 814 may be disposed on the front, back, or side of terminal 800. When a physical button or a vendor Logo is provided on the terminal 800, the fingerprint sensor 814 may be integrated with the physical button or the vendor Logo.

The optical sensor 815 is used to collect the ambient light intensity. In one embodiment, processor 801 may control the display brightness of display 805 based on the ambient light intensity collected by optical sensor 815. Specifically, when the ambient light intensity is high, the display brightness of the display screen 805 is increased; when the ambient light intensity is low, the display brightness of the display 805 is reduced. In another embodiment, the processor 801 may also dynamically adjust the shooting parameters of the camera assembly 806 based on the ambient light intensity collected by the optical sensor 815.

A proximity sensor 816, also known as a distance sensor, is typically disposed on a front panel of the terminal 800. The proximity sensor 816 is used to collect the distance between the user and the front surface of the terminal 800. In one embodiment, when the proximity sensor 816 detects that the distance between the user and the front surface of the terminal 800 gradually decreases, the processor 801 controls the display 805 to switch from the bright screen state to the dark screen state; when the proximity sensor 816 detects that the distance between the user and the front surface of the terminal 800 becomes gradually larger, the display 805 is controlled by the processor 801 to switch from the breath-screen state to the bright-screen state.

Those skilled in the art will appreciate that the configuration shown in fig. 8 is not intended to be limiting of terminal 800 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

The embodiment of the application also provides a non-transitory computer readable storage medium, and when instructions in the storage medium are executed by a processor of the terminal, the terminal is enabled to execute the structural optimization method for the automobile B-pillar provided by the above embodiment.

The embodiment of the present application further provides a computer program product containing instructions, which when run on a terminal, causes the terminal to execute the structural optimization method for the B-pillar of the automobile provided in the foregoing embodiment.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only a preferred embodiment of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method of structurally optimizing a B-pillar of an automotive vehicle, the method comprising:

2. The method of claim 1, wherein the obtaining a structural model of a B-pillar of an automobile comprises:

acquiring structural design information of the B column;

3. The method of claim 1, wherein determining a target weight based on the structural model and the full vehicle side impact model comprises:

4. The method of claim 3, wherein simulating collision parameters of the vehicle under different side impact conditions based on the structural model and the full vehicle side impact model comprises:

acquiring structural design experience data of the B column;

updating the structural model according to the data variable sampling data;

5. The method of claim 4, wherein after simulating collision parameters of the vehicle under different side impact conditions based on the updated structural model and the full vehicle side collision model, further comprising:

6. The method of claim 5, wherein before determining the second B-pillar optimized structural parameters from the mathematical proxy model by optimizing a particle swarm optimization algorithm, further comprising:

performing precision verification on the mathematical proxy model;

7. The method of claim 5, wherein before determining the second B-pillar optimized structural parameters from the mathematical proxy model by optimizing a particle swarm optimization algorithm, further comprising:

obtaining reliability optimization design conditions;

8. The method of any one of claims 5-7, wherein said determining said second B-pillar optimized structural parameters from said mathematical proxy model by optimizing a particle swarm optimization algorithm further comprises:

9. A structural optimization device for a B-pillar of an automobile, the device comprising:

10. A computer-readable storage medium having stored thereon instructions which, when executed by a processor, carry out the steps of the method of any of claims 1 to 8.