CN112417586A - Body-in-white optimization processing method, device and system for vehicle and storage medium - Google Patents
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Abstract
The embodiment of the specification discloses a body-in-white optimization processing method, a device, a system and a storage medium of a vehicle, wherein the method comprises the following steps: generating a white body basic model according to vehicle parameter information, wherein the vehicle parameter information comprises the parameters of plate unit of a vehicle body and the incidence relation between the plate units of the vehicle body; performing gridding processing on the white body basic model through preset grid generation operation to obtain a topology optimization model; determining parameters to be optimized in the topological optimization model by using a preset optimization processing program according to target optimization conditions; and optimizing the topology optimization model according to the parameters to be optimized. In the scheme, a parameter model construction mode based on the relation of the metal plate elements can be realized, the repeated process that in the prior art, 3D rendering is carried out through a sketch to obtain a three-dimensional model and then finite element modeling is carried out is not needed, the time required by the modeling process is saved, so that more time is used for optimizing the vehicle body, and the optimization effect can be improved.
Description
Technical Field
The embodiment of the specification relates to the technical field of automobiles, in particular to a body-in-white optimization processing method, device and system for a vehicle and a storage medium.
Background
Before mass production of the vehicle body, designers and simulation engineers are generally required to continuously optimize and improve the vehicle body, and the white vehicle body is always treated and realized in the optimization process. The Body-in-White (Body in White) is defined by the Body nomenclature standards and textbooks as a Body-structure and panel-welding assembly, including front wings, doors, hoods, trunk lids, but not including the unpainted Body of accessories and trim.
At present, in the process of optimizing a body-in-white, designers generally need to perform 3D modeling after providing a prophase sketch to obtain a 3D model, and a simulator performs gridding processing based on the 3D model to obtain a topological model, and then performs optimization processing based on the topological model. However, in practical application, the time period from design to production of the vehicle body is generally strict, and a large amount of time is consumed for the modeling process in the process of constructing the 3D model by the sketch and performing gridding processing when the optimization processing is performed in the prior art, so that the modeling time in the optimization process is too long, the optimization processing time in the optimization process of the vehicle body in white is crowded, and the overall optimization effect is influenced.
Disclosure of Invention
The embodiment of the specification provides a body-in-white optimization processing method, device and system of a vehicle and a storage medium.
In a first aspect, an embodiment of the present specification provides a body-in-white optimization processing method for a vehicle, including:
generating a white body basic model according to vehicle parameter information, wherein the vehicle parameter information comprises the sheet metal unit parameters of a vehicle body and the incidence relation between the sheet metal units of the vehicle body, and the sheet metal unit parameters of the vehicle body comprise a control point position, a linear curvature and a section shape; the body-in-white basic model is a parameterized model which is constructed based on the vehicle parameter information and contains the incidence relation between the plate element units in the body-in-white;
performing gridding processing on the white body basic model through preset grid generation operation to obtain a topology optimization model, wherein the topology optimization model is a three-dimensional model based on gridding;
determining parameters to be optimized in the topological optimization model by using a preset optimization processing program according to target optimization conditions;
and optimizing the topology optimization model according to the parameters to be optimized.
Optionally, the determining, by using a preset optimization processing program, a parameter to be optimized in the topology optimization model according to the target optimization condition includes:
setting an optimization target according to working condition parameters, wherein the working condition parameters comprise vehicle body torsional rigidity, bending rigidity, collision working conditions and combined working conditions;
setting an optimization constraint condition according to optimization requirements, wherein the optimization constraint condition comprises a quality target;
and determining parameters to be optimized in the topological optimization model by using the target optimization constraint conditions and the optimization targets through an OptiStruct optimization program.
Optionally, after the optimization constraint condition is set according to the optimization requirement, the method further includes:
setting a topology optimization dispersion parameter, wherein the topology optimization dispersion parameter is used for controlling the material density of the topology optimization model;
determining parameters to be optimized in the topology optimization model by using the target optimization constraint conditions and the optimization targets through an OptiStruct optimization program, wherein the determining parameters to be optimized in the topology optimization model comprises the following steps:
determining candidate parameters to be optimized by using the target optimization constraint conditions and the optimization targets through an OptiStruct optimization program;
and determining the parameters to be optimized in the topology optimization model from the candidate parameters to be optimized according to the topology optimization dispersion parameters.
Optionally, before optimizing the topology optimization model according to the parameter to be optimized, the method further includes:
and acquiring actual working condition conditions, verifying the parameters to be optimized according to the actual working condition conditions and the white body basic model, and determining target parameters to be optimized, wherein the target parameters to be optimized are parameters conforming to the white body basic model under the actual working condition conditions.
The optimizing the topology optimization model according to the parameter to be optimized includes:
and optimizing the topology optimization model according to the target parameter to be optimized.
Optionally, the obtaining of the actual working condition and verifying the parameter to be optimized according to the actual working condition and the body-in-white basic model, and determining the target parameter to be optimized includes:
determining material distribution information among the sheet metal unit in the body-in-white according to actual working conditions, wherein the material distribution information is used for representing the condition that the sheet metal unit in the body-in-white is influenced under the actual working conditions;
and determining a force transmission path area with the influence degree exceeding a preset limit value from the body-in-white according to the material distribution information, and determining a target parameter to be optimized according to the force transmission path area.
Optionally, the grid processing is performed on the body-in-white basic model through a preset grid generating operation, and obtaining the topology optimization model includes:
and performing gridding processing on the white vehicle body basic model by a fluid envelope body grid generating method to obtain a topology optimization model.
Optionally, the generating a body-in-white base model according to the vehicle parameter information includes:
acquiring vehicle parameter information;
generating a basic vehicle parametric model according to the plate element unit parameters of the vehicle body in the vehicle parameter information, wherein the basic vehicle parametric model is a model defined on the basis of the control point position, the curve rate and the section shape;
and constructing a parameterized model according to the parameterized model of the basic vehicle and the incidence relation between the plate element units of the vehicle body in the vehicle parameter information, and using the parameterized model as the white vehicle body basic model.
In a second aspect, an embodiment of the present specification provides a body-in-white optimization processing apparatus for a vehicle, including:
the vehicle parameter information comprises the parameters of the plate unit of the vehicle body and the incidence relation between the plate units of the vehicle body, and the parameters of the plate unit of the vehicle body comprise a control point position, a linear curvature and a section shape; the body-in-white basic model is a parameterized model which is constructed based on the vehicle parameter information and contains the incidence relation between the plate element units in the body-in-white;
the processing unit is used for executing gridding processing on the white body basic model through preset grid generation operation to obtain a topology optimization model, and the topology optimization model is a three-dimensional model based on gridding;
the determining unit is used for determining parameters to be optimized in the topological optimization model by using a preset optimization processing program according to target optimization conditions;
and the optimization unit is used for optimizing the topology optimization model according to the parameters to be optimized.
Optionally, the determining unit includes:
the first setting module is used for setting an optimization target according to working condition parameters, wherein the working condition parameters comprise vehicle body torsional rigidity, bending rigidity, collision working conditions and combined working conditions;
the second setting module is used for setting an optimization constraint condition according to the optimization requirement, wherein the optimization constraint condition comprises a quality target;
and the determining module is used for determining the parameters to be optimized in the topological optimization model by using the target optimization constraint conditions set by the second setting module and the optimization targets set by the first setting module through an OptiStruct optimization program.
Optionally, the determining unit further includes:
the third setting module is used for setting a topology optimization dispersion parameter, and the topology optimization dispersion parameter is used for controlling the material density of the topology optimization model;
the determining module may be further specifically configured to determine, through an OptiStruct optimization program, candidate parameters to be optimized by using the target optimization constraint condition and the optimization target, and determine, according to the topology optimization dispersion parameter set by the third setting module, the parameters to be optimized in the topology optimization model from the candidate parameters to be optimized.
Optionally, the apparatus further comprises:
and the verification unit is used for acquiring actual working condition conditions, verifying the parameters to be optimized determined by the determination unit according to the actual working condition conditions and the white body basic model, and determining target parameters to be optimized, wherein the target parameters to be optimized are parameters conforming to the white body basic model under the actual working condition conditions.
The optimization unit is further specifically configured to optimize the topology optimization model according to the target parameter to be optimized obtained after verification by the verification unit.
Optionally, the verification unit includes:
the first determining module is used for determining material distribution information among the plate unit units in the body-in-white according to actual working conditions, wherein the material distribution information is used for representing the condition that the plate unit units in the body-in-white are affected under the actual working conditions;
and the second determining module is used for determining a force transmission path area with the influence degree exceeding a preset limit value from the body-in-white according to the material distribution information determined by the first determining module, and determining a target parameter to be optimized according to the force transmission path area.
Optionally, the processing unit is specifically configured to perform meshing processing on the body-in-white basic model by using a fluid envelope mesh generation method to obtain a topology optimization model.
Optionally, the generating unit includes:
the acquisition module is used for acquiring vehicle parameter information;
the generating module is used for generating a basic vehicle parameterized model according to the plate element unit parameters of the vehicle body in the vehicle parameter information acquired by the acquiring module, wherein the basic vehicle parameterized model is a model defined based on the control point position, the curve rate and the section shape;
and the building module is used for building a parameterized model according to the generated module basic vehicle parameterized model and the incidence relation between the plate element units of the vehicle body in the vehicle parameter information, and the parameterized model is used as the white vehicle body basic model.
In a third aspect, embodiments of the present specification provide a body-in-white optimization processing system for a vehicle, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor performs the steps of any one of the above-mentioned methods.
In a fourth aspect, the present specification provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of any of the above methods.
The embodiment of the specification has the following beneficial effects:
in the embodiment of the present specification, the method, the apparatus, the system, and the storage medium for body-in-white optimization processing of a vehicle described above can generate a body-in-white base model according to vehicle parameter information, where the vehicle parameter information includes a sheet metal unit parameter of a vehicle body and an association relationship between sheet metal units of the vehicle body, and the sheet metal unit parameter of the vehicle body includes a control point position, a linear curvature, and a cross-sectional shape; the body-in-white basic model is a parameterized model which is constructed based on the vehicle parameter information and contains the incidence relation between the plate element units in the body-in-white; then, performing gridding processing on the white body basic model through preset grid generation operation to obtain a topology optimization model, wherein the topology optimization model is a three-dimensional model based on gridding; then, determining parameters to be optimized in the topological optimization model by using a preset optimization processing program according to target optimization conditions; and finally, optimizing the topological optimization model according to the parameters to be optimized, thereby realizing the body-in-white optimization processing of the vehicle. Compared with the prior art, the method provided by the embodiment of the specification obtains the topology optimization model through the white body basic model generated by the vehicle parameter information according to the preset grid generation operation, can realize a three-dimensional model construction mode based on the plate element unit relation of each vehicle body, does not need to perform repeated modeling process of CAE gridding after 3D rendering is performed on the three-dimensional model through a sketch in the prior art, saves the time required by the modeling process, thereby ensuring that more time can be used for optimization of the vehicle body in a fixed period before mass production of the vehicle body, and improving the optimization effect. Meanwhile, the topological optimization model in the method is constructed based on the incidence relation among the plate units of each vehicle body, so that the model of the vehicle body in white can be directly updated through parameters to be optimized in the optimization process, the model does not need to be constructed through 3D rendering every time in the updating process, the construction and the formation of the model in the optimization process every time are saved, particularly when multi-round sub-optimization needs to be executed, the optimization time can be greatly saved, and the optimization efficiency is improved.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the specification. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart of a body-in-white optimization processing method for a vehicle according to a first aspect of the embodiments of the present disclosure;
fig. 2 is a schematic view of a body-in-white optimization processing device of a vehicle according to a second aspect of an embodiment of the present disclosure;
fig. 3 is a schematic diagram of another body-in-white optimization processing device for a vehicle according to a second aspect of the embodiment of the present disclosure.
Detailed Description
In order to better understand the technical solutions, the technical solutions of the embodiments of the present specification are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features of the embodiments and embodiments of the present specification are detailed descriptions of the technical solutions of the embodiments of the present specification, and are not limitations of the technical solutions of the present specification, and the technical features of the embodiments and embodiments of the present specification may be combined with each other without conflict.
Specifically, an embodiment of the present invention provides a body-in-white optimization processing method for a vehicle, a specific implementation process of which can be shown in fig. 1, and the method includes the following steps:
101. and generating a body-in-white basic model according to the vehicle parameter information.
The vehicle parameter information comprises the parameters of the plate unit of the vehicle body and the incidence relation between the plate units of the vehicle body, wherein the parameters of the plate unit of the vehicle body comprise a control point position, a linear curvature and a section shape; the body-in-white basic model is a parameterized model which is constructed based on the vehicle parameter information and contains the incidence relation between the plate element units in the body-in-white.
102. And performing gridding processing on the white body basic model through preset grid generation operation to obtain a topology optimization model.
The topological optimization model is a gridding-based three-dimensional model.
103. And determining parameters to be optimized in the topological optimization model by using a preset optimization processing program according to target optimization conditions.
104. And optimizing the topology optimization model according to the parameters to be optimized.
In the embodiments of the present disclosure, the panel unit of the vehicle body may be understood as any one or more components in the body-in-white, and therefore, the body-in-white base model in this embodiment may be actually understood as a parameterized model formed by splicing the panel units of the respective vehicle bodies and the panel units of the vehicle bodies based on the association relationship therebetween. Based on the integrated model of the body-in-white basic model CAD and CAE, a corresponding meshed three-dimensional model can be directly generated in the process of executing the preset mesh generation operation in step 102, which has an obvious time-saving effect compared with the prior art that the model is obtained through sketch 3D rendering and then the mesh processing is performed.
In addition, in the step 103, in the process of determining the parameter to be optimized through the target optimization condition, the target optimization condition may be determined through an optimization instruction input from a user, specifically including but not limited to vehicle body torsional rigidity, bending rigidity, and the like. Meanwhile, after the parameters to be optimized are determined, when the topological optimization model is optimized in step 104, because the topological optimization model is obtained by gridding operation of a body-in-white basic model constructed based on the incidence relation between the plate element units of the vehicle body, wherein the topological optimization model comprises the connection relation between the plate element units of each vehicle body, the parameters in the corresponding body-in-white can be directly revised according to the parameters to be optimized during optimization, and therefore, the optimization effect is achieved.
Further, for the method in step 103, the process of determining the parameter to be optimized in the topology optimization model by using a preset optimization processing program under the target optimization condition may be specifically executed in the following manner, where the process includes:
firstly, setting an optimization target according to working condition parameters, wherein the working condition parameters comprise vehicle body torsional rigidity, bending rigidity, collision working conditions or combined working conditions, and other working condition parameters can be selected as supplements according to actual needs;
then, setting an optimization constraint condition according to optimization requirements, wherein the optimization constraint condition comprises a quality target;
and finally, determining parameters to be optimized in the topological optimization model by using the target optimization constraint conditions and the optimization targets through an OptiStruct optimization program.
In the process of determining the parameters to be optimized, because the optimization process mainly aims at improving the performance of the body-in-white under the condition of small mass change, that is, when the parameters to be optimized are determined, multiple parameters in a topology optimization model corresponding to the body-in-white need to be optimized according to certain constraint conditions based on simulation of different working conditions by a designer, in the process, an optimization target can be set by working condition parameters, wherein the working condition parameters can include all parameters for representing the performance of the body-in-white, in this example, several representative performance parameters including torsional rigidity, bending rigidity, collision working conditions and combined working condition parameters of multiple working conditions are specifically selected as the optimization target, and certainly, in practical application, the designer can select any one or more of the parameters to be combined according to actual needs, and is not particularly limited herein.
After any one or more of the working condition parameters required by the designer are selected to set the corresponding optimization target, the corresponding optimization constraint conditions are set based on the set optimization target, wherein the optimization constraint conditions include but are not limited to quality targets, and the optimization constraint conditions can be specifically selected based on actual needs. And determining parameters to be optimized in the topology optimization model through an OptiStruct optimization program after the optimization constraint conditions and the optimization targets are set. The OptiStruct optimization program can be understood as finite element structure analysis and optimization software, contains an accurate and rapid finite element solver, and is commonly used for conceptual design and detailed design. During the design of an automobile body, an optimal material distribution can be sought within a given design space by means of an OptiStruct optimization program. Shell elements or solid elements may be used to define the design space and material flow laws by homogenization and density methods. The optimal design scheme of the force transmission path can be determined by an advanced approximation method and a reliable optimization method in the OptiStruct. Therefore, the OptiStruct-based optimization program can achieve the effect of determining the parameters to be optimized based on the corresponding constraint targets under the optimization constraint conditions.
Meanwhile, when determining that the parameter to be optimized is determined based on the OptiStruct optimization program, in order to avoid a checkerboard phenomenon in the topology optimization model, in this example, a topology optimization dispersion parameter may be further set to screen the preliminarily obtained parameter to be optimized, wherein the topology optimization dispersion parameter is used for controlling the material density of the topology optimization model.
Therefore, the determining, by the OptiStruct optimization program, the parameter to be optimized in the topology optimization model by using the target optimization constraint condition and the optimization target may specifically be: firstly, determining candidate parameters to be optimized by using the target optimization constraint conditions and the optimization targets through an OptiStruct optimization program; and determining the parameters to be optimized in the topology optimization model from the candidate parameters to be optimized according to the topology optimization dispersion parameters.
Specifically, when the steps are executed, for the combined working condition, multiple optimization constraint conditions executed by an OptiStruct optimization program can be used for setting, that is, working condition parameters required to correspond under different working conditions are converted into optimization targets, and the overall quality score of the optimized topology model is set as the optimization constraint conditions. When the working condition parameters are body-in-white torsional rigidity and bending rigidity, on one hand, the torsional rigidity and the bending rigidity of the conceptual body structure are taken as optimization targets of the topological optimization model, namely the maximum deformation of a loading point or a required area is minimum; on the other hand, the quality change of the topological optimization model is smaller than 30% and is used as an optimization constraint condition for determining the parameters to be optimized, and then a force transmission path of a key area is determined by an OptiStruct optimization program according to an optimization target under the optimization constraint condition and is used as the parameters to be optimized. In addition, the density value of the material in the body-in-white can be controlled based on the dispersion parameter needing to be set for topological optimization, so that the density value of the material is gathered to the two ends of 0 and 1, the parameter to be optimized is determined based on a more definite force transmission path and structural material distribution, and the dispersion value is 0-3.
Further, before optimizing the topology optimization model based on the parameters to be optimized, in order to further determine the accuracy of the parameters to be optimized and ensure the actual optimization effect, before optimizing the topology optimization model according to the parameters to be optimized, the parameters to be optimized may be verified with respect to the body-in-white base model, and thus the method may further include, in the execution process:
and acquiring actual working condition conditions, verifying the parameters to be optimized according to the actual working condition conditions and the white body basic model, and determining target parameters to be optimized, wherein the target parameters to be optimized are parameters conforming to the white body basic model under the actual working condition conditions.
In this way, in the process of optimizing the topology optimization model according to the parameter to be optimized, the following optimization process is actually executed by specifically using the target parameter to be optimized, specifically: and optimizing the topology optimization model according to the target parameter to be optimized.
The basic model under the actual working condition is selected to verify the parameters to be optimized obtained in the previous step, and the obtained parameters to be optimized can be ensured to meet the requirements of the actual working condition in the parameters to be optimized, so that the subsequent topological optimization model based on the optimization of the parameters to be optimized meets the actual working condition, and the practicability and the accuracy of the optimization result are improved.
Further, in the process of obtaining the target parameter to be optimized by performing verification on the parameter to be optimized, obtaining an actual working condition, verifying the parameter to be optimized according to the actual working condition and the body-in-white basic model, and determining a specific execution mode of the target parameter to be optimized may include:
A. determining material distribution information among the sheet metal part units in the body-in-white according to actual working conditions, wherein the material distribution information is used for representing the condition that the sheet metal part units in the body-in-white are affected under the actual working conditions;
B. and determining a force transmission path area with the influence degree exceeding a preset limit value from the body-in-white according to the material distribution information, and determining a target parameter to be optimized according to the force transmission path area.
For example, in the above steps, based on the characteristic that the body-in-white basic model has a parameterized model, the force transmission path of the topological optimization can be quickly identified, and the force transmission path can be converted into an actual effective scheme according to engineering experience or a reference structure, so that the validity of the parameters to be optimized can be analyzed and verified based on the real finite element working condition (actual working condition), and the effective scheme (target parameters to be optimized) is finally screened out from the parameters to be optimized based on the verification result and then is implemented into the body design through subsequent optimization operation, so as to complete the optimization of the body-in-white. The specific operation process of the steps can be as follows: according to the optimization magic table, optimization analysis and finite element calculation are carried out on the topological optimization model, the material distribution condition which is greatly influenced by relevant working conditions on the body structure of the body in white is obtained, and the position with higher unit density in the material distribution which is greatly influenced by the relevant working conditions is used as a design area of a force transmission path after optimization, so that a body frame can be designed more pertinently, and the cross beam, the longitudinal beam, the reinforcing plate and the like in the body model are reasonably arranged. Wherein, the weld position greatly affected by the relevant performance may be a position where the density value of the corresponding structural material is in a range of more than 0.3 and less than 1. The optimization results can be directly realized in the parameterized model through adjusting the relevant parameters of the parameters to be optimized and can be quickly converted into finite element data, so that the effective scheme corresponding to the screened target parameters to be optimized is implemented in the design of the vehicle body under the relevant actual working conditions.
It should be noted that, in the above embodiment, the process of performing the meshing process on the body-in-white basic model may be performed based on a fluid envelope mesh generation method, so that in the process of obtaining the topology optimization model by performing the meshing process on the body-in-white basic model through the preset mesh generation operation, specifically, the process may be: and performing gridding processing on the white vehicle body basic model by a fluid envelope body grid generating method to obtain a topology optimization model. The process of performing the gridding process by the fluid enveloping body grid generating method can be understood as follows: based on early concept grass data, a parameterized concept model or a complete vehicle body finite element model, a process of rapidly generating a topological optimization space grid by using a fluid envelope volume grid generation method is adopted, namely, a 3D hexahedral solid grid is generated by envelope based on a basic model finite element 2D plane grid, and the solid grid and a shell unit are coupled after a contact relation is established through an incidence relation between plate element units of a vehicle body, so that a meshed three-dimensional topological optimization model is obtained, wherein the size of the generated space can be properly amplified according to the requirement of a design space.
Further, in the process of executing the above steps, the process of generating the body-in-white base model based on the vehicle parameters in step 101 may also be performed according to the following processes, which include:
a. acquiring vehicle parameter information;
b. generating a basic vehicle parametric model according to the parameters of the plate unit of the vehicle body in the vehicle parameter information;
the basic vehicle parameterized model is a model defined based on the control point position, the curve rate and the section shape;
c. and constructing a parameterized model according to the parameterized model of the basic vehicle and the incidence relation between the plate element units of the vehicle body in the vehicle parameter information, and using the parameterized model as the white vehicle body basic model.
Therefore, the vehicle parameter information can be used for generating a basic vehicle parametric model, namely the model is a parametric data model, so that when the parameters to be optimized need to be optimized, the parameters in the model can be directly modified and optimized to obtain an optimized vehicle body scheme, and compared with the prior art, the effect of rapidly updating the design scheme of the body-in-white can be realized.
In summary, the embodiments of the present disclosure provide a body-in-white optimization method for a vehicle, which can generate a body-in-white base model according to vehicle parameter information, where the vehicle parameter information includes parameters of plate units of a vehicle body and an association relationship between the plate units of the vehicle body, and the parameters of the plate units of the vehicle body include a control point position, a linear curvature, and a cross-sectional shape; the body-in-white basic model is a parameterized model which is constructed based on the vehicle parameter information and contains the incidence relation between the plate element units in the body-in-white; then, performing gridding processing on the white body basic model through preset grid generation operation to obtain a topology optimization model, wherein the topology optimization model is a three-dimensional model based on gridding; then, determining parameters to be optimized in the topological optimization model by using a preset optimization processing program according to target optimization conditions; and finally, optimizing the topological optimization model according to the parameters to be optimized, thereby realizing the body-in-white optimization processing of the vehicle. Compared with the prior art, the method provided by the embodiment of the specification obtains the topology optimization model through the white body basic model generated by the vehicle parameter information according to the preset grid generation operation, can realize a three-dimensional model construction mode based on the plate element unit relation of each vehicle body, does not need to perform repeated modeling process of CAE gridding after 3D rendering is performed on the three-dimensional model through a sketch in the prior art, saves the time required by the modeling process, thereby ensuring that more time can be used for optimization of the vehicle body in a fixed period before mass production of the vehicle body, and improving the optimization effect. Meanwhile, the topological optimization model in the method is constructed based on the incidence relation among the plate units of each vehicle body, so that the model of the vehicle body in white can be directly updated through parameters to be optimized in the optimization process, the model does not need to be constructed through 3D rendering every time in the updating process, the construction and the formation of the model in the optimization process every time are saved, particularly when multi-round sub-optimization needs to be executed, the optimization time can be greatly saved, and the optimization efficiency is improved.
In a second aspect, based on the same inventive concept of the above method, the embodiments of the present specification provide a body-in-white optimization processing apparatus for a vehicle, which implements the functions and effects of the method as described above, and specifically, refer to fig. 2, and the apparatus includes:
the generating unit 21 may be configured to generate a body-in-white base model according to vehicle parameter information, where the vehicle parameter information includes a sheet metal unit parameter of a vehicle body and an association relationship between sheet metal units of the vehicle body, and the sheet metal unit parameter of the vehicle body includes a control point position, a linear curvature, and a cross-sectional shape; the body-in-white basic model is a parameterized model which is constructed based on the vehicle parameter information and contains the incidence relation between the plate element units in the body-in-white;
the processing unit 22 may be configured to perform a gridding process on the body-in-white basic model obtained by the generating unit 21 through a preset grid generating operation to obtain a topology optimization model, where the topology optimization model is a three-dimensional model based on gridding;
the determining unit 23 may be configured to determine, according to a target optimization condition, a parameter to be optimized in the topology optimization model obtained by the processing unit 22 by using a preset optimization processing program;
the optimizing unit 24 may be configured to optimize the topology optimization model according to the parameter to be optimized determined by the determining unit 23.
Optionally, as shown in fig. 3, the determining unit 23 includes:
the first setting module 231 may be configured to set an optimization target according to working condition parameters, where the working condition parameters include vehicle body torsional rigidity, bending rigidity, collision working conditions, and combination working conditions;
a second setting module 232, which may be configured to set an optimization constraint according to an optimization requirement, where the optimization constraint includes a quality target;
the determining module 233 may be configured to determine, through an OptiStruct optimization program, a parameter to be optimized in the topology optimization model by using the target optimization constraint condition set by the second setting module 232 and the optimization target set by the first setting module 231.
Optionally, as shown in fig. 3, the determining unit 23 further includes:
a third setting module 234 operable to set a topology optimization dispersion parameter for controlling a material density of the topology optimization model;
the determining module 233 may be further specifically configured to determine, through an OptiStruct optimization program, candidate parameters to be optimized by using the target optimization constraint condition and the optimization target, and determine the parameters to be optimized in the topology optimization model from the candidate parameters to be optimized according to the topology optimization dispersion parameter set by the third setting module 234.
Optionally, as shown in fig. 3, the apparatus further includes:
the verification unit 25 may be configured to obtain an actual working condition, verify the parameter to be optimized determined by the determination unit 23 according to the actual working condition and the body-in-white basic model, and determine a target parameter to be optimized, where the target parameter to be optimized is a parameter that meets the requirements of the body-in-white basic model under the actual working condition.
The optimizing unit 24 may be further specifically configured to optimize the topology optimization model according to the target parameter to be optimized obtained after verification by the verifying unit 25.
Optionally, as shown in fig. 3, the verification unit 25 includes:
the first determining module 251 can be used for determining material distribution information among the sheet metal unit units in the body-in-white according to actual working conditions, wherein the material distribution information is used for representing the condition that the sheet metal unit units in the body-in-white are affected under the actual working conditions;
the second determining module 252 may be configured to determine, from the body-in-white, a force transmission path region affected by the degree exceeding a preset limit according to the material distribution information determined by the first determining module 251, and determine a target parameter to be optimized according to the force transmission path region.
Optionally, as shown in fig. 3, the processing unit 22 may be specifically configured to perform a meshing process on the body-in-white basic model by using a fluid envelope mesh generation method to obtain a topology optimization model.
Optionally, as shown in fig. 3, the generating unit 21 includes:
an obtaining module 211, which may be used to obtain vehicle parameter information;
a generating module 212, configured to generate a parametric basic vehicle model according to the sheet metal unit parameters of the vehicle body in the vehicle parameter information acquired by the acquiring module 211, where the parametric basic vehicle model is defined based on the control point position, the curve rate, and the section shape;
the building module 213 may be configured to build a parameterized model according to the basic vehicle parameterized model generated by the generating module 212 and the sheet metal unit association relationship of the vehicle body in the vehicle parameter information, as the body-in-white basic model.
In a third aspect, based on the same inventive concept as the body-in-white optimization processing method for the vehicle in the foregoing embodiments, the present specification embodiment further provides a body-in-white optimization processing system for the vehicle, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the steps of any one of the foregoing body-in-white optimization processing methods for the vehicle are implemented.
In a fourth aspect, based on the inventive concept of the body-in-white optimization processing method of the vehicle in the foregoing embodiments, the present specification embodiment further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of any one of the foregoing body-in-white optimization processing methods of the vehicle.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present specification have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all changes and modifications that fall within the scope of the specification.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present specification without departing from the spirit and scope of the specification. Thus, if such modifications and variations of the present specification fall within the scope of the claims of the present specification and their equivalents, the specification is intended to include such modifications and variations.
Claims (10)
1. A body-in-white optimization processing method for a vehicle is characterized by comprising the following steps:
generating a white body basic model according to vehicle parameter information, wherein the vehicle parameter information comprises the sheet metal unit parameters of a vehicle body and the incidence relation between the sheet metal units of the vehicle body, and the sheet metal unit parameters of the vehicle body comprise a control point position, a linear curvature and a section shape; the body-in-white basic model is a parameterized model which is constructed based on the vehicle parameter information and contains the incidence relation between the plate element units in the body-in-white;
performing gridding processing on the white body basic model through preset grid generation operation to obtain a topology optimization model, wherein the topology optimization model is a three-dimensional model based on gridding;
determining parameters to be optimized in the topological optimization model by using a preset optimization processing program according to target optimization conditions;
and optimizing the topology optimization model according to the parameters to be optimized.
2. The body-in-white optimization processing method of the vehicle according to claim 1, wherein the determining the parameters to be optimized in the topological optimization model by using a preset optimization processing program through target optimization conditions comprises:
setting an optimization target according to working condition parameters, wherein the working condition parameters comprise vehicle body torsional rigidity, bending rigidity, collision working conditions and combined working conditions;
setting an optimization constraint condition according to optimization requirements, wherein the optimization constraint condition comprises a quality target;
and determining parameters to be optimized in the topological optimization model by using the target optimization constraint conditions and the optimization targets through an OptiStruct optimization program.
3. The body-in-white optimization processing method for the vehicle according to claim 2, wherein after the optimization constraints are set according to optimization requirements, the method further comprises:
setting a topology optimization dispersion parameter, wherein the topology optimization dispersion parameter is used for controlling the material density of the topology optimization model;
determining parameters to be optimized in the topology optimization model by using the target optimization constraint conditions and the optimization targets through an OptiStruct optimization program, wherein the determining parameters to be optimized in the topology optimization model comprises the following steps:
determining candidate parameters to be optimized by using the target optimization constraint conditions and the optimization targets through an OptiStruct optimization program;
and determining the parameters to be optimized in the topology optimization model from the candidate parameters to be optimized according to the topology optimization dispersion parameters.
4. The body-in-white optimization processing method for a vehicle according to claim 1, wherein before optimizing the topology optimization model according to the parameter to be optimized, the method further comprises:
acquiring actual working condition conditions, verifying the parameters to be optimized according to the actual working condition conditions and the white body basic model, and determining target parameters to be optimized, wherein the target parameters to be optimized are parameters conforming to the white body basic model under the actual working condition conditions;
the optimizing the topology optimization model according to the parameter to be optimized includes:
and optimizing the topology optimization model according to the target parameter to be optimized.
5. The vehicle body-in-white optimization processing method according to claim 4, wherein the obtaining of the actual working condition and the verifying of the parameter to be optimized according to the actual working condition and the body-in-white base model comprise:
determining material distribution information among the sheet metal unit in the body-in-white according to actual working conditions, wherein the material distribution information is used for representing the condition that the sheet metal unit in the body-in-white is influenced under the actual working conditions;
and determining a force transmission path area with the influence degree exceeding a preset limit value from the body-in-white according to the material distribution information, and determining a target parameter to be optimized according to the force transmission path area.
6. The vehicle body-in-white optimization processing method according to claim 5, wherein the performing gridding processing on the body-in-white base model through a preset grid generating operation to obtain a topology optimization model comprises:
and performing gridding processing on the white vehicle body basic model by a fluid envelope body grid generating method to obtain a topology optimization model.
7. The body-in-white optimization processing method for the vehicle according to any one of claims 1 to 6, wherein the generating of the body-in-white base model according to the vehicle parameter information comprises:
acquiring vehicle parameter information;
generating a basic vehicle parametric model according to the plate element unit parameters of the vehicle body in the vehicle parameter information, wherein the basic vehicle parametric model is a model defined on the basis of the control point position, the curve rate and the section shape;
and constructing a parameterized model according to the parameterized model of the basic vehicle and the incidence relation between the plate element units of the vehicle body in the vehicle parameter information, and using the parameterized model as the white vehicle body basic model.
8. A body-in-white optimization processing device of a vehicle is applied to a vehicle-mounted end, and is characterized by comprising:
the vehicle parameter information comprises the parameters of the plate unit of the vehicle body and the incidence relation between the plate units of the vehicle body, and the parameters of the plate unit of the vehicle body comprise a control point position, a linear curvature and a section shape; the body-in-white basic model is a parameterized model which is constructed based on the vehicle parameter information and contains the incidence relation between the plate element units in the body-in-white;
the processing unit is used for executing gridding processing on the white body basic model through preset grid generation operation to obtain a topology optimization model, and the topology optimization model is a three-dimensional model based on gridding;
the determining unit is used for determining parameters to be optimized in the topological optimization model by using a preset optimization processing program according to target optimization conditions;
and the optimization unit is used for optimizing the topology optimization model according to the parameters to be optimized.
9. A body-in-white optimization processing system for a vehicle, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method according to any one of claims 1 to 7 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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