Vehicle body side wall structure design architecture and method and storage medium

Abstract

The invention provides a vehicle body side structure design architecture and method and a storage medium, and the architecture comprises a whole vehicle definition unit which is used for determining the whole vehicle demand information of a to-be-designed vehicle, and determining frame features and part features according to first data information in a basic data layer; the performance definition unit is connected with the whole vehicle definition unit and used for determining performance demand information of the vehicle to be designed and determining index constraints according to second data information in the basic data layer; the intelligent decision-making unit is connected with the performance definition unit and is used for determining a first design parameter of the framework feature and a second design parameter of the part feature based on the index constraint and third data information in the basic data layer; and the generating and assembling unit is connected with the intelligent decision-making unit and used for generating a side wall structure model of the vehicle according to the first design parameters, the frame features, the second design parameters and the part features. By means of the method, the design efficiency of the vehicle body side wall structure can be improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of automobile design, and particularly relates to a vehicle body side structure design architecture, a method and a storage medium. BACKGROUND

[0002] In the field of automobile design, the design of a vehicle body side structure is an extremely complex system engineering, and the design result of the vehicle body side structure is crucial to the performance of the vehicle. In the related art, the design of the vehicle body side structure mainly relies on simulation and testing to achieve optimized design parameters.

[0003] However, due to a large number of design parameters in the complex structure of the vehicle body side, there is an interaction between different design parameters, and a large number of simulations and tests are required to obtain a better design result, resulting in low design efficiency of the vehicle body side structure. SUMMARY

[0004] Embodiments of the present application provide a vehicle body side structure design architecture, a method and a storage medium to solve the problem of low design efficiency of the vehicle body side structure.

[0005] In a first aspect, the embodiments of the present application provide a vehicle body side structure design architecture, which comprises a business application layer and a basic data layer in communication connection, the business application layer comprising: a vehicle definition unit configured to determine vehicle demand information corresponding to a vehicle to be designed, and determine frame features and component features corresponding to the vehicle demand information according to first data information in the basic data layer; a performance definition unit connected to the vehicle definition unit, configured to determine performance demand information corresponding to the vehicle to be designed, and determine index constraints corresponding to the performance demand information according to second data information in the basic data layer; an intelligent decision unit connected to the performance definition unit, configured to determine first design parameters corresponding to the frame features and second design parameters corresponding to the component features based on the index constraints and third data information in the basic data layer; and a generation assembly unit connected to the intelligent decision unit, configured to generate a side structure model corresponding to the vehicle according to the first design parameters and the frame features, and the second design parameters and the component features, the side structure model being used to design a vehicle body side structure of the vehicle, so that the vehicle body side structure meets the vehicle demand information and the performance demand information.

[0006] In some embodiments, the basic data layer comprises a configuration information library, a styling arrangement feature library and a design information library, the first data information comprises data in the configuration information library, the styling arrangement feature library and the design information library, and the whole vehicle definition unit is further configured to: parse the whole vehicle demand information to obtain configuration information and styling arrangement information; determine a configuration structure corresponding to the configuration information according to the configuration information and the configuration information library, and determine a styling arrangement feature corresponding to the styling arrangement information according to the styling arrangement information and the styling arrangement feature library; and determine a frame feature and a component feature corresponding to the whole vehicle demand information according to the configuration structure, the styling arrangement feature and the design information library.

[0007] In some embodiments, the basic data layer further comprises a function model library, the second data information comprises data in the function model library, and the performance definition unit is further configured to: determine a plurality of index items corresponding to the performance demand information according to a preset mapping relationship between index items and performance in the function model library; and determine an index constraint corresponding to each index item by using a preset index constraint decision model in the function model library.

[0008] In some embodiments, the basic data layer further comprises an intelligent decision algorithm library, the third data information comprises data in the intelligent decision algorithm library, and the intelligent decision unit is further configured to: determine a frame parameter corresponding to the frame feature; determine a first design parameter corresponding to the frame feature by using a frame parameter determination model in the intelligent decision algorithm library based on the index constraint and the frame parameter; determine a component parameter corresponding to the component feature; and determine a second design parameter corresponding to the component feature by using a component parameter determination model in the intelligent decision algorithm library based on the index constraint and the component parameter.

[0009] In some embodiments, the basic data layer further comprises a cross section parameter library and a function cross section parameter library, and the intelligent decision unit is further configured to: obtain a plurality of initial frame parameters corresponding to the frame feature according to the cross section parameter library; and select an initial frame parameter corresponding to a sensitivity value greater than or equal to a preset threshold value as the frame parameter corresponding to the frame feature according to the function cross section parameter library, the sensitivity value being used to indicate the sensitivity of the initial frame parameter to the performance demand information.

[0010] In some embodiments, the generating assembly unit comprises a model generating subunit and a model assembling subunit, the model generating subunit and the model assembling subunit are connected, the model generating subunit is configured to generate a frame model corresponding to the frame feature according to the first design parameter, and generate a part model corresponding to the part feature according to the second design parameter; and the model assembling subunit is configured to generate a side structure model corresponding to the vehicle according to the frame model and the part model.

[0011] In some embodiments, the basic data layer further comprises a design information library, and the model assembling subunit is further configured to determine a positional relationship between the frame model and the part model according to the design information library; and add the part model to the frame model according to the positional relationship to obtain the side structure model.

[0012] In a second aspect, the embodiments of the present application further provide a vehicle body side structure design method, applied to a vehicle body side structure design architecture, the method comprising: determining vehicle demand information and performance demand information corresponding to a vehicle to be designed; determining frame features and part features corresponding to the vehicle demand information, and determining index constraints corresponding to the performance demand information; determining first design parameters corresponding to the frame features and second design parameters corresponding to the part features based on the index constraints; and generating a side structure model corresponding to the vehicle according to the first design parameters and the frame features, and the second design parameters and the part features, the side structure model being used for designing a vehicle body side structure of the vehicle, so that the vehicle body side structure meets the vehicle demand information and the performance demand information.

[0013] In some embodiments, the determining of the first design parameters corresponding to the frame features and the second design parameters corresponding to the part features based on the index constraints comprises: determining frame parameters corresponding to the frame features; determining the first design parameters corresponding to the frame features based on the index constraints and the frame parameters by using a preset frame parameter determination model; determining part parameters corresponding to the part features; and determining the second design parameters corresponding to the part features based on the index constraints and the part parameters by using a preset part parameter determination model.

[0014] In some embodiments, the determining of the frame parameters corresponding to the frame features comprises: obtaining a plurality of initial frame parameters corresponding to the frame features; determining sensitivity values of the initial frame parameters corresponding to the performance demand information; and selecting an initial frame parameter corresponding to a sensitivity value greater than or equal to a preset threshold value as the frame parameter corresponding to the frame features.

[0015] In some embodiments, the generating the side structure model corresponding to the vehicle according to the first design parameter and the frame feature, and the second design parameter and the component feature comprises: generating a frame model corresponding to the frame feature according to the first design parameter, and generating a component model corresponding to the component feature according to the second design parameter; determining a positional relationship between the frame model and the component model; and adding the component model to the frame model according to the positional relationship to obtain the side structure model.

[0016] In a third aspect, the embodiments of the present application provide a computer device, which comprises a processor and a memory, and the processor is configured to execute a computer program stored in the memory to implement the vehicle body side structure design method.

[0017] In a fourth aspect, the embodiments of the present application provide a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the vehicle body side structure design method.

[0018] The vehicle body side structure design architecture provided by the embodiments of the present application comprises a business application layer and a basic data layer, the business application layer comprises a whole vehicle definition unit, a performance definition unit, an intelligent decision unit and a generation assembly unit, and the above-mentioned architecture can reduce the number of simulation and test in the optimization design process of the vehicle body side structure, reduce the development cost, and improve the design efficiency of the vehicle body side structure by the cooperation between the business application layer and the basic data layer, the analysis of the whole vehicle demand information according to the first data information in the basic data layer by the whole vehicle definition unit, the analysis of the performance demand information according to the second data information in the basic data layer by the performance definition unit, the determination of the design parameters required for the vehicle body side structure design according to the third data information in the basic data layer by the intelligent decision unit, and the determination of the vehicle body side structure model corresponding to the vehicle to be designed by the generation assembly unit, and the use of the vehicle body side structure model to guide the design of the vehicle body side structure. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 FIG. 1 is a computer device comprising a vehicle body side structure design architecture provided by the embodiments of the present application.

[0020] Figure 2 FIG. 2 is a schematic diagram of a vehicle body side structure design architecture provided by the embodiments of the present application.

[0021] Figure 3 FIG. 3 is a schematic diagram of a whole vehicle demand information analysis process provided by the embodiments of the present application.

[0022] Figure 4is a schematic diagram of a performance requirement information analysis process provided by an embodiment of the present application.

[0023] Figure 5 is a schematic diagram of a design parameter determination process provided by an embodiment of the present application.

[0024] Figure 6 is a schematic diagram of a side wall structure model generation process provided by an embodiment of the present application.

[0025] Figure 7 is a flowchart of a vehicle body side wall structure design method provided by an embodiment of the present application. DETAILED DESCRIPTION

[0026] It should be noted that the terms "first", "second" in the specification and claims of the present application and the drawings are used to distinguish similar objects, and are not used to describe a specific order or sequence.

[0027] In the embodiments of the present application, the words "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design presented as "exemplary" or "for example" in the embodiments of the present application should not be construed as being superior or more advantageous than other embodiments or design solutions. Rather, the use of "exemplary" or "for example" is intended to present concepts in a concrete manner. The embodiments described below and the features in the embodiments can be combined with each other without conflict, if possible.

[0028] The vehicle body side wall structure refers to a three-dimensional frame structure on the left and right sides of the vehicle body, extending from the front of the vehicle to the rear of the vehicle, covering the side area of the vehicle, and is an important part of the body in white (BIW). The design result of the vehicle body side wall structure is crucial to the performance of the vehicle, including the safety, lightweight, stiffness, durability, etc. of the vehicle, which will be affected by the vehicle body side wall structure.

[0029] In the related art, the design of the vehicle body side wall structure mainly relies on simulation and testing to achieve optimized design parameters. For example, first, a vehicle body side wall model is obtained by using computer aided design (CAD), and then the main performance of the vehicle body side wall model is verified by using computer aided engineering (CAE) to determine whether the design parameters meet the vehicle performance requirements. However, the above method needs to be iterated repeatedly until the vehicle performance meets various indicators, which not only consumes a large amount of computer simulation time, but also requires a large amount of expert experience to guide the determination of the design scheme, resulting in low design efficiency of the vehicle side wall structure.

[0030] In view of this, the application provides a vehicle body side structure design architecture, method and storage medium. The architecture includes a business application layer and a basic data layer. The business application layer includes a whole vehicle definition unit, a performance definition unit, an intelligent decision unit and a generation assembly unit. The whole vehicle definition unit is configured to determine whole vehicle demand information corresponding to a vehicle to be designed, and determine frame features and component features corresponding to the whole vehicle demand information based on first data information in the basic data layer. The performance definition unit is connected with the whole vehicle definition unit, and is configured to determine performance demand information corresponding to the vehicle to be designed, and determine index constraints corresponding to the performance demand information based on second data information in the basic data layer. The intelligent decision unit is connected with the performance definition unit, and is configured to determine first design parameters corresponding to the frame features and second design parameters corresponding to the component features based on the index constraints and third data information in the basic data layer. The generation assembly unit is connected with the intelligent decision unit, and is configured to generate a side structure model corresponding to the vehicle based on the first design parameters and the frame features, and the second design parameters and the component features. The side structure model is used to design a vehicle body side structure of the vehicle, so that the vehicle body side structure meets the whole vehicle demand information and the performance demand information.

[0031] In the embodiments of the application, the whole vehicle definition unit analyzes the whole vehicle demand information based on the first data information in the basic data layer, the performance definition unit analyzes the performance demand information based on the second data information in the basic data layer, the intelligent decision unit determines the design parameters required for designing the vehicle body side structure based on the third data information in the basic data layer, and the generation assembly unit determines the vehicle body side model corresponding to the vehicle to be designed. The vehicle body side model is used to guide the design of the vehicle body side structure, which can reduce the number of simulations and tests in the optimization design process of the vehicle body side structure, reduce the development cost, and improve the design efficiency of the vehicle body side structure.

[0032] Some embodiments will be described in detail below with reference to the accompanying drawings. In the case of no conflict, the embodiments described below and the features in the embodiments can be combined with each other.

[0033] In combination with Figure 1 The computer device diagram provided by the embodiments of the application is described. The vehicle body side structure design architecture can be applied to a computer device 10, which can include a computer, a mobile phone, a notebook computer, a tablet, a server and a vehicle-mounted device, etc. The server can be a cloud server or a server cluster, and the type of the computer device 10 is not limited in the application. As shown in FIG. 1, the computer device 10 can include a processor 100, a memory 200, a storage 300, a communication interface 400 and a bus 500. Figure 1As shown, the computer device 10 includes a communication module 101, a memory 102, a processor 103, an input / output (I / O) interface 104, and a bus 105. The processor 103 is coupled to the communication module 101, the memory 102, and the input / output interface 104 via the bus 105, respectively.

[0034] In some embodiments, the communication module 101 can include a wired communication module and / or a wireless communication module.

[0035] In some embodiments, the memory 102 is configured to store one or more computer programs. The one or more computer programs are configured to be executed by the processor 103. The one or more computer programs include a plurality of instructions which, when executed by the processor 103, implement the vehicle body side structure design method executed on the computer device 10.

[0036] In some embodiments, the processor 103 provides computing and control capabilities, for example, the processor 103 is configured to execute the computer programs stored in the memory 102 to implement the vehicle body side structure design method described above.

[0037] In some embodiments, the input / output interface 104 is configured to provide a channel for user input or output, for example, the input / output interface 104 can be configured to connect various input / output devices, such as a mouse, a keyboard, a touch device, a display screen, etc., so that the user can input information or make the information visualized.

[0038] In some embodiments, the bus 105 is configured to provide a channel for communication between the communication module 101, the memory 102, the processor 103, and the input / output interface 104 in the computer device 10.

[0039] In some embodiments, in the vehicle body side structure design scenario, a user (e.g., a designer) can input the whole vehicle demand information and performance demand information corresponding to a vehicle to be designed to the computer device 10 via the input / output interface 104. The processor 103 analyzes the whole vehicle demand information and the performance demand information to obtain the frame features and the component features corresponding to the whole vehicle demand information, and the index constraints corresponding to the performance demand information, and generates a side structure model corresponding to the vehicle according to the index constraints, the frame features, and the component features, wherein the side structure model is used to design a vehicle body side structure of the vehicle, so that the vehicle body side structure meets the whole vehicle demand information and the performance demand information.

[0040] In the computer device 10 provided in the embodiments of the present application, by analyzing the whole vehicle demand information and the performance demand information, the body side model corresponding to the vehicle to be designed is determined, and the body side model is used to guide the design of the body side structure, so that the simulation and test times of the body side structure in the optimization design process are reduced, the development cost is reduced, and the design efficiency of the body side structure is improved.

[0041] It can be understood that the structure illustrated in the embodiments of the present application does not constitute a specific limitation on the computer device 10. In other embodiments of the present application, the computer device 10 can include more or fewer components than the illustration, or combine certain components, or split certain components, or different component arrangements. The illustrated components can be implemented in hardware, software, or a combination of software and hardware.

[0042] Please refer to Figure 2 , Figure 2 is a schematic diagram of the body side structure design architecture provided in the embodiments of the present application. The body side structure design architecture 100 includes a business application layer 110 and a basic data layer 120, and the business application layer 110 and the basic data layer 120 are in communication connection. The basic data layer 120 is used to provide data information required for the design of the body side structure, and the business application layer 110 is used to realize the design of the body side structure according to the data information in the basic data layer 120.

[0043] In some embodiments, the business application layer 110 includes a whole vehicle definition unit 111, a performance definition unit 112, an intelligent decision unit 113, and a generation assembly unit 114. The performance definition unit 112 is connected with the whole vehicle definition unit 111 and the intelligent decision unit 113 respectively, and the intelligent decision unit 113 is connected with the generation assembly unit 114.

[0044] In some embodiments, the whole vehicle definition unit 111 is used to receive the whole vehicle demand information of the vehicle to be designed, and by querying the first data information in the basic data layer 120, the frame features and the part features that meet the whole vehicle demand information can be automatically matched. The performance definition unit 112 is used to receive the performance demand information corresponding to the vehicle to be designed, and by querying the second data information in the basic data layer 120, the index constraints of each index item corresponding to the performance demand information are determined. The intelligent decision unit 113 determines the first design parameters corresponding to the frame features and the second design parameters corresponding to the part features according to the index constraints and the third data information in the basic data layer. The generation assembly unit 114 processes the frame features according to the first design parameters to generate a frame model, and processes the part features according to the second design parameters to generate a part model. The generation assembly unit 114 can determine the positional relationship between the frame model and the part model by querying the design information library, so as to add the part model to the frame model to obtain a side structure model.

[0045] The embodiment of the application provides a vehicle body side structure design architecture 100, which analyzes vehicle demand information and performance demand information in a manner that a business application layer 110 cooperates with a basic data layer 120, determines a vehicle body side model corresponding to a vehicle to be designed, and guides the design of the vehicle body side structure by using the vehicle body side model, so that the number of simulations and tests of the vehicle body side structure in the optimization design process is reduced, the development cost is reduced, and the design efficiency of the vehicle body side structure is improved.

[0046] Please continue to refer to Figure 2 In some embodiments, the basic data layer 120 includes a configuration information library 121, a modeling arrangement feature library 122, and a design information library 123. In some embodiments, when the configuration information library 121, the modeling arrangement feature library 122, and the design information library 123 are built, a user designed feature (UDF) technology can be introduced, and by using the technology, a user can adjust the configuration structure in the configuration information library 121, the structure in the modeling arrangement feature library 122, and the frame template and the part template in the design information library 123 according to actual demand.

[0047] The configuration information library 121 is used for storing structures in the aspects of configuration, including vehicle body type, top modeling, side modeling, front modeling, and rear modeling. The vehicle body type can be classified into a car, a sport utility vehicle (SUV), a multi-purpose vehicle (MPV), a sports car, a pickup truck, and the like according to a functional purpose. The top modeling can include a sunroof design and a non-sunroof design, the sunroof design can include a fixed panoramic sunroof and an openable sunroof, and the non-sunroof design can include a metal hard top and a soft top convertible. The side modeling can include a flat door design, a sliding door design, a gull-wing door, a scissor door, and the like. The front modeling can include an engine cover design, a bumper design, an air intake grille design, a headlight design, and the like. The rear modeling can include a trunk design, a bumper design, a tail light design, and the like.

[0048] The modeling arrangement feature library 122 stores structures related to arrangement aspects, such as man-machine constraint points, opening and closing part stop, opening and closing part hinge and lock, and structures related to modeling aspects, such as modeling trend line, glass surface, water tangent line, and modeling block and joint line. The man-machine constraint point can represent a fixed reference point related to interaction with the occupant, for example, the height of the door handle and the position of the window control button. The opening and closing part stop can represent the flange structure matched with the vehicle body, such as the door and the hood. The opening and closing part hinge is used to determine the position of the door rotation axis, which affects the opening angle of the door. The opening and closing part lock is arranged at the engagement point of the door and the side wall, which needs to be coordinated with the collision force transmission path. The modeling trend line can represent the key edge line or curved surface transition line of the side wall surface of the vehicle body, for example, the waist line running through the vehicle body. The glass surface is used to represent the curved modeling and boundary of the side window glass. The water tangent line is used to represent the raised edge line on the upper part of the side wall of the vehicle body to guide the flow of rainwater. The modeling block and joint line is used to represent the part boundary of the outer panel of the side wall of the vehicle body, for example, the joint between the door and the fender.

[0049] The design information library 123 stores frame templates and part templates. The design information library 123 can be established according to the typical vehicle data obtained in advance. The typical vehicle data can represent a standardized data set of core parameters, performance indicators, and design features of a certain type of vehicle (for example, a car, an MPV, an SUV, etc.). The typical vehicle data can include material data, performance data, and process data of a certain type of vehicle.

[0050] In some embodiments, the whole vehicle definition unit 111 is configured to determine the whole vehicle demand information corresponding to the vehicle to be designed, and determine the frame features and part features corresponding to the whole vehicle demand information according to the first data information in the basic data layer 120. The first data information can include the data in the configuration information library 121, the modeling arrangement feature library 122, and the design information library 123.

[0051] In some embodiments, the whole vehicle demand information can be input into the computer device by the user. The whole vehicle demand information can include the body type, top modeling, side modeling, front modeling, and rear modeling of the vehicle to be designed. The related content of the configuration information has been described in detail above, and will not be repeated here. The whole vehicle demand information can also include the modeling arrangement information required for the design of the body side wall. The modeling arrangement information can include arrangement features such as man-machine constraint points, opening and closing part stops, opening and closing part hinges or locks, and modeling features such as modeling trend lines, glass surfaces, water tangent lines, and modeling block and joint lines. The related content of the arrangement features and the modeling features has been described in detail above, and will not be repeated here.

[0052] In some embodiments, the frame feature can represent a frame structure of the body side wall matched with the whole vehicle demand information, the component feature can represent a component structure of the body side wall matched with the whole vehicle demand information, and the frame feature and the component feature corresponding to the whole vehicle demand information can be determined by analyzing the whole vehicle demand information.

[0053] In some embodiments, the frame structure of the body side wall can include main structural members such as A-pillars, B-pillars, C-pillars, rocker beams, roof side rails, etc., and cover members such as front and rear fenders, door frames, side skirts, etc. Among them, the A-pillar represents the vertical column on both sides of the front windshield, used to connect the roof and the front body. The B-pillar represents the vertical column between the front and rear doors, used to support the roof and enhance the side collision strength. The C-pillar represents the vertical column connecting the roof and the rear of the car behind the rear door. The rocker beam represents the transverse reinforcing structure of the side edge of the body bottom. The roof side rail represents the longitudinal reinforcing beam on both sides of the roof. The front and rear fenders represent the sheet metal parts covering the top of the wheels. The door frame represents the opening structure connected with the side wall column. The side skirt represents the decorative / aerodynamic component of the side edge of the body bottom.

[0054] In some embodiments, the component structure can include reinforcing structures and mounting structures. Among them, the reinforcing structure is used to improve the rigidity, impact resistance and durability of the body side wall, and is the core component of the passive safety of the body. For example, the reinforcing structure can include reinforcing plates, reinforcing ribs, etc. The mounting structure is a connecting medium of functional parts and the body side wall, which directly affects the assembly accuracy, use convenience and reliability. For example, the mounting structure can include door hinge mounting seat, door lock buckle mounting plate, trim panel / seal strip buckle base, etc.

[0055] In some embodiments, the frame feature and the component feature corresponding to the whole vehicle demand information can be determined by combining the frame feature and the component feature corresponding to the whole vehicle demand information. Figure 3 The whole vehicle demand information analysis process provided by the embodiments of the present application is illustrated. As shown in Figure 3 The whole vehicle definition unit is also used to: analyze the whole vehicle demand information to obtain configuration information and styling arrangement information; determine the configuration structure corresponding to the configuration information according to the configuration information and the configuration information library, and determine the styling arrangement feature corresponding to the styling arrangement information according to the styling arrangement information and the styling arrangement feature library; and determine the frame feature and the component feature corresponding to the whole vehicle demand information according to the configuration structure, the styling arrangement feature and the design information library.

[0056] The configuration information can include a vehicle body category, a top configuration, a side configuration, a front configuration, a rear configuration, and the like, and the configuration arrangement information can include arrangement features such as a man-machine constraint point, an opening and closing part stop, an opening and closing part hinge or lock, and configuration trend lines, glass surfaces, water tangent lines, and configuration block joint lines. The vehicle definition unit can determine the configuration keywords and the configuration arrangement keywords in the vehicle demand information by analyzing the vehicle demand information, can determine the configuration information required by the vehicle to be designed according to the configuration keywords, and can determine the configuration arrangement information required by the vehicle to be designed according to the configuration arrangement keywords.

[0057] In some embodiments, according to the configuration information, the configuration information corresponding configuration structure can be determined by traversing the preset configuration information library 121 in the basic data layer 120, and according to the configuration arrangement information, the configuration arrangement information corresponding configuration arrangement feature can be determined by traversing the preset configuration arrangement feature library 122 in the basic data layer 120. Then, according to the first correspondence relationship between the configuration structure and the frame feature, and the second correspondence relationship between the configuration arrangement feature and the frame feature, the frame template (i.e., the frame feature) matched with the configuration structure and the configuration arrangement feature can be determined by traversing the preset design information library 123 in the basic data layer 120. According to the third correspondence relationship between the configuration structure and the part feature, the fourth correspondence relationship between the configuration arrangement feature and the part feature, and the fifth correspondence relationship between the frame feature and the part feature, the part template (i.e., the part feature) matched with the configuration structure, the configuration arrangement feature, and the frame feature can be determined by traversing the design information library 123.

[0058] The embodiments of the present application can optimize and improve the frame template and the part template according to the vehicle demand information of the user by constructing the frame template and the part template. Since the frame template and the part template have reusability and scalability, repeated modeling can be reduced, and the efficiency of the vehicle body side structure design is improved. In addition, the embodiments of the present application can improve the accuracy of the determination of the frame feature and the part feature by determining the frame feature and the part feature required by the user from the dimensions of the configuration information and the configuration arrangement information, thereby improving the accuracy of the vehicle body side structure design.

[0059] Please continue to refer to Figure 2 In some embodiments, the basic data layer further includes a function model library 124, the function model library 124 stores mapping relationships between indicators such as weight, cost, stiffness, modal, and collision and performance, and the function model library 124 further stores a preset indicator constraint decision model. The indicator constraint corresponding to each indicator item in the performance demand information can be determined by using the indicator constraint decision model.

[0060] In some embodiments, the performance defining unit 112 is configured to determine performance requirement information corresponding to the vehicle to be designed, and determine index constraints corresponding to the performance requirement information according to second data information in the basic data layer 120. The second data information can include data in the functional model library 124.

[0061] In some embodiments, the performance requirement information can be performance requirements that the vehicle to be designed needs to meet. For example, the performance requirement information can include power performance indexes, lightweight indexes, noise, vibration and harshness (NVH) indexes, safety indexes, and durability indexes. The above indexes can be set as excellent, general, and poor according to actual requirements, or the index range can include a numerical range, which is not limited herein.

[0062] In some embodiments, the performance defining unit 112 can obtain index constraints by analyzing multiple indexes in the performance requirement information. The index constraints can represent index ranges of various index items. The number of index items is multiple, for example, the index items can include weight, cost, stiffness, modal, and collision information. Each index item has a corresponding index range, and the index range can include a numerical range. For example, the performance requirement information can include that the power performance index of the vehicle to be designed is general, the lightweight index is general, the NVH index is excellent, and the safety index is excellent. By analyzing the performance requirement information, the above performance requirement information is converted into index ranges of multiple dimensions of index items such as weight, cost, stiffness, modal, and collision, so that the design of the body side structure is completed by using the index ranges of multiple index items.

[0063] In some embodiments, in combination with Figure 4 The performance requirement information analysis process provided by the embodiments of the present application is described. As shown in Figure 4 The performance defining unit 112 is further configured to determine multiple index items corresponding to the performance requirement information according to a preset mapping relationship between the index items and the performance in the functional model library 124, and determine index constraints corresponding to each index item by using a preset index constraint decision model in the functional model library 124.

[0064] The index items can include weight, cost, rigidity, modal, and collision information. The index constraint decision model is used to comprehensively analyze a plurality of index items according to performance requirement information, and determine an index constraint corresponding to each index item. The input data of the index constraint decision model is the performance requirement information, and the output data is the index constraint corresponding to each index item. The index constraint decision model can be a Convolutional Neural Networks (CNNs) model, a Recurrent Neural Networks (RNNs) model, and a Generative Adversarial Networks (GANs) model, and the like, which is not limited herein. The training mode of the index constraint decision model can include a supervised training mode and an unsupervised training mode, and the training process of the model can refer to related technologies, which will not be repeated here.

[0065] The embodiment of the present application analyzes the performance requirement information from the plurality of index item dimensions by using the index constraint decision model, determines the index constraint corresponding to each index item, and guides the completion of the design of the body side structure by using the index range of the plurality of index items, so that the body side structure can meet the performance requirements, and the accuracy of the design of the body side structure is improved.

[0066] Please continue to refer to Figure 2 In some embodiments, the basic data layer 120 further includes an intelligent decision algorithm library 125. The intelligent decision algorithm library 125 includes a frame parameter determination model and a component parameter determination model. The frame parameter determination model is used to determine a first design parameter of a frame feature, and the component parameter determination model is used to determine a second design parameter of a component feature. The frame feature can include A-pillar, B-pillar, C-pillar, rocker beam, roof side rail, and the like, and the main structural parts, and the front and rear fender, door frame, side skirt, and the like, covering parts. The component feature can include a reinforcing plate, a reinforcing rib, and the like, a reinforcing structure, and a door hinge mounting seat, a door lock buckle mounting plate, a trim panel / seal strip buckle base, and the like, mounting structure.

[0067] In some embodiments, the intelligent decision unit 113 is configured to determine the first design parameter corresponding to the frame feature and the second design parameter corresponding to the component feature based on the index constraint and third data information in the basic data layer 120. The third data information includes data in the intelligent decision algorithm library 125.

[0068] In some embodiments, the first design parameters can include section parameters of the frame features, the section of the frame features referring to a cross-sectional view formed by transversely cutting the frame structure, for showing the material distribution, structural composition and connection mode at the position. The first design parameters include material design parameters, geometric design parameters and process design parameters, etc. The second design parameters can include section parameters corresponding to the part features, the section of the part features referring to a cross-sectional view formed by transversely cutting the part structure, for showing the material distribution, structural composition and connection mode at the position. The second design parameters include material design parameters, geometric design parameters and process design parameters, etc. The material design parameters can include material thickness, material strength, material type, etc. The geometric design parameters can include cross-sectional shape, fillet radius, cavity size, etc. The process design parameters can include welding seam width, connection mode of the connection area and surface roughness, etc.

[0069] In some embodiments, the intelligent decision unit 113 is further configured to determine frame parameters corresponding to the frame features, and determine the first design parameters corresponding to the frame features based on the index constraints and the frame parameters by using a frame parameter determination model in the intelligent decision algorithm library 125. The intelligent decision unit 113 is further configured to determine part parameters corresponding to the part features, and determine the second design parameters corresponding to the part features based on the index constraints and the part parameters by using a part parameter determination model in the intelligent decision algorithm library 125.

[0070] The frame features can include main structural members such as A-pillar, B-pillar, C-pillar, rocker beam, roof side rail, etc., and cover members such as front and rear fender, door frame, side skirt, etc. Each structural member or cover member has corresponding section parameters, and the section parameters that have greater influence on the performance requirement information are taken as the frame parameters. The parameter values of the frame parameters can be initial values, which can be set according to actual requirements and are not limited herein. Taking the rocker beam as an example of the frame features, the frame parameters can include section type, size information, material properties, etc. The section type can include single / multi-cavity design, closed / open section, the size information can include height, width, wall thickness and fillet radius, etc., and the material properties can include coating material, etc. Figure 5 The design parameter determination process provided by the embodiments of the present application is illustrated. As shown in FIG. 1, the design parameter determination process includes the following steps. Figure 5As shown, the framework parameter determination model is pre-trained, the framework parameter determination model is used to determine the first design parameter corresponding to the framework feature, the input data of the framework parameter determination model is the index constraint and the framework parameter, and the output data is the first design parameter by means of parameter group conversion and parameter group analysis. The difference between the first design parameter and the framework parameter is that the parameter values of the two are different, that is, the parameter value of the framework parameter can be adjusted by the framework parameter determination model, and the framework parameter after the parameter value is adjusted is called the first design parameter. The parameter value of the first design parameter is a value that meets the vehicle demand information and the performance demand information. The framework parameter determination model can be a neural network model, and the training method of the model can include a supervised method and an unsupervised method, which is not limited here. The parameter group conversion is used for pre-processing the input data, so that the input data is converted into a structured feature that can be efficiently learned by the model. The parameter group analysis is used to evaluate the effectiveness of the converted input data, and further optimize the input data of the model.

[0071] Wherein, the part feature can include reinforcing structure such as reinforcing plate, reinforcing rib, and mounting structure such as door hinge mounting seat, door lock buckle mounting plate, and trim / seal strip buckle base. Each reinforcing structure or mounting structure has a corresponding section parameter, and the section parameter that has a greater impact on the performance demand information is used as a part parameter. The parameter value of the part parameter can be an initial value, which can be set according to actual needs, which is not limited here. Taking the rocker as an example, the part parameter can include the number and layout of reinforcing ribs, the structure of collapse induction groove, and the spacing of welding points / bolts. The part parameter determination model is pre-trained, the part parameter determination model is used to determine the second design parameter corresponding to the part feature, the input data of the part parameter determination model is the index constraint and the part parameter, and the output data is the second design parameter by means of parameter group conversion and parameter group analysis. The difference between the second design parameter and the part parameter is that the parameter values of the two are different, that is, the parameter value of the part parameter can be adjusted by the part parameter determination model, and the part parameter after the parameter value is adjusted is called the second design parameter. The parameter value of the second design parameter is a value that meets the vehicle demand information and the performance demand information. The part parameter determination model can be a neural network model, and the training method of the model can include a supervised method and an unsupervised method, which is not limited here.

[0072] The embodiments of the present application adjust the framework parameter corresponding to the framework feature and the part parameter corresponding to the part feature by using the index constraint, to obtain the first design parameter and the second design parameter that meet the vehicle demand information and the performance demand information, improve the accuracy of the side wall structure model construction, and then improve the accuracy of the body side wall structure design.

[0073] In some embodiments, the basic data layer 120 further comprises a section parameter library (not shown in the figure) and a functional section parameter library (not shown in the figure). The section parameter library includes section parameters of frame features corresponding to section parameters of part features, which have been described in detail above and are not limited herein. In some embodiments, a functional section parameter library can also be constructed according to the influence of section parameters on performance requirement information. The functional section parameter library includes section parameters of frame features corresponding to section parameters of part features that have a greater influence (i.e., higher sensitivity) on performance requirement information. Through the functional section parameter library, the embodiment of the present application stores section parameters of frame features corresponding to section parameters of part features that have a greater influence on performance requirement information, and through the query of the functional section parameter library, the frame parameters and part parameters with a sensitivity value greater than or equal to a preset threshold can be quickly and accurately determined, thereby improving the accuracy and efficiency of the body side structure design.

[0074] In some embodiments, the intelligent decision unit 113 is further configured to obtain a plurality of initial frame parameters corresponding to the frame feature according to the section parameter library; and select an initial frame parameter corresponding to a sensitivity value greater than or equal to a preset threshold as a frame parameter corresponding to the frame feature according to the functional section parameter library, the sensitivity value indicating the sensitivity of the initial frame parameter to the performance requirement information.

[0075] In some embodiments, the number of initial frame parameters (referred to as "initial frame parameters" for brevity) corresponding to frame features is multiple. In order to improve the efficiency of model processing, the initial frame parameters are screened, and the initial frame parameters with a greater influence (i.e., higher sensitivity) on performance requirement information are retained as frame parameters corresponding to frame features, and the initial frame parameters with a smaller influence on performance requirement information are deleted.

[0076] In some embodiments, the preset threshold can be set according to actual needs, which is not limited herein. Frame features have corresponding initial frame parameters, and different initial frame parameters have different sensitivity values to performance requirement information. The greater the sensitivity value of the initial frame parameter to performance requirement information, the greater the influence of the initial frame parameter on performance requirement information. The smaller the sensitivity value of the initial frame parameter to performance requirement information, the smaller the influence of the initial frame parameter on performance requirement information.

[0077] In some embodiments, the sensitivity value of the deleted initial framework parameter to the performance demand information can be determined by determining the satisfaction of the performance demand information by the initial framework parameter after the deletion of the certain initial framework parameter from the plurality of initial framework parameters.

[0078] The embodiments of the present application retain the initial framework parameters with greater impact on the performance demand information as the framework parameters corresponding to the framework features, delete the initial framework parameters with less impact on the performance demand information, and design the parameter values of the framework parameters with greater impact on the performance demand information, so that the designed framework model meets the performance demand information and improves the effect of the side structure model design.

[0079] In some embodiments, the number of initial component parameters corresponding to the component features (referred to as "initial component parameters" for brevity) is multiple. To improve the efficiency of model processing, the initial component parameters are screened, the initial component parameters with greater impact on the performance demand information (i.e., higher sensitivity) are retained as the component parameters corresponding to the component features, and the initial component parameters with less impact on the performance demand information are deleted.

[0080] In some embodiments, the intelligent decision unit 113 is further configured to obtain a plurality of initial component parameters corresponding to the component features according to the section parameter library, and select the initial component parameters corresponding to the sensitivity values greater than or equal to a preset threshold value as the component parameters corresponding to the component features according to the functional section parameter library, the sensitivity values being used to indicate the sensitivity of the initial component parameters to the performance demand information.

[0081] The preset threshold value can be set according to actual requirements, which is not limited herein. The component features have corresponding initial component parameters, different initial component parameters have different sensitivity values to the performance demand information, the greater the sensitivity value of the initial component parameter to the performance demand information, the greater the impact of the initial component parameter on the performance demand information, and the smaller the sensitivity value of the initial component parameter to the performance demand information, the smaller the impact of the initial component parameter on the performance demand information.

[0082] In some embodiments, the sensitivity value of the deleted initial component parameter to the performance demand information can be determined by determining the satisfaction of the performance demand information by the initial component parameter after the deletion of the certain initial component parameter from the plurality of initial component parameters. If the satisfaction of the performance demand information by the body side structure is poor after the deletion of the initial component parameter, it is determined that the deleted initial component parameter has greater impact on the performance demand information.

[0083] The embodiment of the present application retains the initial component parameter which has a greater influence on the performance requirement information as the component parameter corresponding to the part feature, deletes the initial component parameter which has a smaller influence on the performance requirement information, and designs the parameter value of the component parameter which has a greater influence on the performance requirement information, so that the designed component model meets the performance requirement information, and the effect of the side wall structure model design is improved.

[0084] In some embodiments, the generating assembly unit 114 is configured to generate the side wall structure model corresponding to the vehicle according to the first design parameters and the frame features, and the second design parameters and the part features, so that the side wall structure of the vehicle body is designed to meet the whole vehicle requirement information and the performance requirement information.

[0085] In some embodiments, the generating assembly unit 114 includes a model generating subunit (not shown in the figure) and a model assembling subunit (not shown in the figure), the model generating subunit is connected with the model assembling subunit, and the model generating subunit and the model assembling subunit are combined Figure 6 The generation of the side wall structure model provided by the embodiment of the present application is illustrated. As shown in Figure 6 The model generating subunit generates the frame model corresponding to the frame features according to the first design parameters, and generates the part model corresponding to the part features according to the second design parameters. The model assembling subunit is configured to generate the side wall structure model corresponding to the vehicle according to the frame model and the part model.

[0086] For example, the model assembling subunit determines the positional relationship between the frame model and the part model by querying the design information library 123, and adds the part model to the frame model according to the positional relationship to obtain the side wall structure model.

[0087] The frame generating model and the part generating model are pre-trained, and the frame generating model and the part generating model can be stored in the intelligent decision algorithm library 125. The frame generating model is configured to process the frame features according to the first design parameters to generate the frame model. The part generating model is configured to process the part features according to the second design parameters to generate the part model. The input data of the frame generating model is the first design parameters and the frame features, and the output data is the frame model. The input data of the part generating model is the second design parameters and the part features, and the output data is the part model. The frame generating model and the part generating model can be a convolutional neural network model, a recurrent neural network model, and a generative adversarial network model, etc., which are not limited herein. The training method of the frame generating model and the part generating model can include a supervised training method and an unsupervised training method, and the training process of the model can refer to related technologies, which are not described herein.

[0088] The part model can represent a simulation model of a part, and the frame model can represent a simulation model of a body side structure. The part model can be arranged at a specified position of the frame model, so as to connect and reinforce various structural members in the frame model, such as A-pillars, B-pillars, C-pillars, rocker beams, roof side beams, and the like. The position of the part model in the frame model can be pre-planned and systematically arranged based on functional requirements, engineering constraints, manufacturing processes, and regulatory requirements.

[0089] The embodiment of the present application generates a frame model by using first design parameters and frame features, and generates a part model by using second design parameters and part features, adds the part model to the frame model, and obtains a side structure model, which can guide the design of the body side structure, reduce the number of simulations and tests in the optimization design process of the body side structure, reduce development costs, and improve the design efficiency of the body side structure.

[0090] Figure 7 is a flowchart of a body side structure design method provided by the embodiment of the present application. The body side structure design method is applied to a computer device (for example, a computer device 10 in Figure 1 ). As shown in Figure 7 , the body side structure design method includes the following steps, and the order of the steps in the flowchart can be changed, and some steps can be omitted according to different requirements.

[0091] S11, determine the whole vehicle requirement information and performance requirement information corresponding to the vehicle to be designed.

[0092] In at least one embodiment of the present application, the whole vehicle requirement information and performance requirement information can be input into the computer device by a user. The whole vehicle requirement information can include configuration information required by the vehicle to be designed, such as a body type, a top shape, a side shape, a front shape, a rear shape, and the like, and modeling arrangement information required by the body side design, which can include arrangement features such as man-machine constraint points, opening and closing piece joints, opening and closing piece hinges or locks, and the like, and modeling features such as modeling trend lines, glass surfaces, water tangent lines, and modeling block joint lines.

[0093] In some embodiments, the performance requirement information can be performance requirements required to be met by the vehicle to be designed, for example, performance requirement information can include power indicators, lightweight indicators, noise (Noise), vibration (Vibration) and sound roughness (Harshness), referred to as NVH indicators, safety indicators, and durability indicators, and the like. The above indicators can be set as excellent, general, and poor according to actual requirements, or the indicator range can include a numerical range, which is not limited here.

[0094] S12, determine the frame features and the part features corresponding to the vehicle demand information, and determine the index constraints corresponding to the performance demand information.

[0095] In at least one embodiment of the present application, the frame features can represent the frame structure of the body side wall matched with the vehicle demand information, and the part features can represent the part structure of the body side wall matched with the vehicle demand information. By analyzing the vehicle demand information, the frame features and the part features corresponding to the vehicle demand information can be determined. The determination method of the frame features and the part features has been described in detail above, and will not be repeated here.

[0096] In some embodiments, by analyzing the multiple indexes in the performance demand information, the index constraints can be obtained. The index constraints can represent the index ranges of various index items. The number of index items is multiple, for example, the index items can include weight, cost, stiffness, modal and collision information, and each index item has a corresponding index range, which can include a numerical range. For example, the performance demand information can include that the power index of the vehicle to be designed is general, the lightweight index is general, the NVH index is excellent, and the safety index is excellent. By analyzing the performance demand information, the above performance demand information is converted into the index ranges of the multiple dimensions of the index items such as weight, cost, stiffness, modal and collision, so that the design of the body side wall structure is completed by using the index ranges of the multiple index items. The method for determining the index constraints corresponding to the performance demand information has been described in detail above, and will not be repeated here.

[0097] S13, determine the first design parameters corresponding to the frame features and the second design parameters corresponding to the part features based on the index constraints.

[0098] In at least one embodiment of the present application, the first design parameters can include the section parameters of the frame features. The section of the frame features refers to the sectional view formed by cutting the frame structure transversely, which is used to show the material distribution, structure composition and connection mode at this position. The first design parameters include material design parameters, geometric design parameters and process design parameters. The second design parameters can include the section parameters corresponding to the part features. The section of the part features refers to the sectional view formed by cutting the part structure transversely, which is used to show the material distribution, structure composition and connection mode at this position. The second design parameters include material design parameters, geometric design parameters and process design parameters. The material design parameters can include material thickness, material strength, material type and the like. The geometric design parameters can include section shape, fillet radius, cavity size and the like. The process design parameters can include welding seam width, connection mode of connection area and surface roughness and the like.

[0099] In some embodiments, the determining the first design parameter corresponding to the frame feature and the second design parameter corresponding to the part feature based on the index constraint comprises: determining a frame parameter corresponding to the frame feature; determining the first design parameter corresponding to the frame feature based on the index constraint and the frame parameter by using a preset frame parameter determination model; determining a part parameter corresponding to the part feature; and determining the second design parameter corresponding to the part feature based on the index constraint and the part parameter by using a preset part parameter determination model. The determination methods of the first design parameter and the second design parameter have been described in detail above, and will not be described here again.

[0100] The embodiments of the present application adjust the frame parameter corresponding to the frame feature and the part parameter corresponding to the part feature by using the index constraint, to obtain the first design parameter and the second design parameter that meet the vehicle demand information and the performance demand information, improve the accuracy of the side structure model construction, and then improve the accuracy of the side structure design of the vehicle body.

[0101] In some embodiments, the number of initial frame parameters (referred to as "initial frame parameters" for brevity of description) corresponding to the frame feature is multiple. In order to improve the efficiency of model processing, the initial frame parameters are screened, and the initial frame parameters that have a greater impact on the performance demand information are retained as the frame parameters corresponding to the frame feature, and the initial frame parameters that have a smaller impact on the performance demand information are deleted. In some embodiments, the determining the frame parameter corresponding to the frame feature comprises: obtaining multiple initial frame parameters corresponding to the frame feature; determining a sensitivity value of the initial frame parameter corresponding to the performance demand information; and selecting the initial frame parameter corresponding to a sensitivity value greater than or equal to a preset threshold as the frame parameter corresponding to the frame feature. The determination method of the frame parameter has been described in detail above, and will not be described here again.

[0102] The embodiments of the present application retain the initial frame parameters that have a greater impact on the performance demand information as the frame parameters corresponding to the frame feature, and delete the initial frame parameters that have a smaller impact on the performance demand information. The parameter values of the frame parameters that have a greater impact on the performance demand information are designed, so that the designed frame model meets the performance demand information, and the effect of the side structure model design is improved.

[0103] S14, generating a side structure model corresponding to the vehicle according to the first design parameter and the frame feature, and the second design parameter and the part feature, the side structure model being used for designing a side structure of a vehicle body of the vehicle, so that the side structure of the vehicle body meets the vehicle demand information and the performance demand information.

[0104] In at least one embodiment of the present application, a frame model can be constructed according to the first design parameters and the frame features, and a component model can be constructed according to the second design parameters and the component features, and the side structure model corresponding to the vehicle can be generated by adding the component model to the frame model.

[0105] In some embodiments, the side structure model corresponding to the vehicle is generated according to the first design parameters and the frame features, and the second design parameters and the component features, including: generating a frame model corresponding to the frame features according to the first design parameters, and generating a component model corresponding to the component features according to the second design parameters; determining the positional relationship between the frame model and the component model; adding the component model to the frame model according to the positional relationship to obtain the side structure model.

[0106] In some embodiments, the side structure model corresponding to the vehicle is generated according to the first design parameters and the frame features, and the second design parameters and the component features, including: generating a frame model corresponding to the frame features according to the first design parameters, and generating a component model corresponding to the component features according to the second design parameters; determining the positional relationship between the frame model and the component model; adding the component model to the frame model according to the positional relationship to obtain the side structure model.

[0107] In some embodiments, the side structure model corresponding to the vehicle is generated according to the first design parameters and the frame features, and the second design parameters and the component features, including: generating a frame model corresponding to the frame features according to the first design parameters, and generating a component model corresponding to the component features according to the second design parameters; determining the positional relationship between the frame model and the component model; adding the component model to the frame model according to the positional relationship to obtain the side structure model.

[0108] In some embodiments, after the side structure model corresponding to the vehicle is generated according to the first design parameters and the frame features, and the second design parameters and the component features, the side structure model can be used for simulation test to determine whether the side structure model meets the performance requirement information. If the result of the determination is that the side structure model meets the performance requirement information, the side structure of the vehicle is designed using the side structure model, so that the side structure of the vehicle meets the vehicle requirement information and the performance requirement information; if the result of the determination is that the side structure model does not meet the performance requirement information, the side structure model is adjusted until the side structure model meets the performance requirement information. The simulation test can include crash simulation, aerodynamic simulation, etc., without limitation.

[0109] The vehicle body side structure design method provided by the embodiment of the present application can determine the vehicle body side model corresponding to the vehicle to be designed by analyzing the whole vehicle demand information and performance demand information, and guide the design of the vehicle body side structure by using the vehicle body side model, so that the simulation and test times of the vehicle body side structure in the optimization design process can be reduced, the development cost can be reduced, and the design efficiency of the vehicle body side structure can be improved.

[0110] Next Figure 1 For the description of the computer device 10, the communication module 101 can include a wired communication module and / or a wireless communication module. The wired communication module can provide one or more of the following wired communication solutions: universal serial bus (USB), controller area network bus (CAN), etc. The wireless communication module can provide one or more of the following wireless communication solutions: wireless fidelity (Wi-Fi), Bluetooth (BT), mobile communication network, frequency modulation (FM), near field communication (NFC), infrared technology (IR), etc.

[0111] In some embodiments, the memory 102 can include one or more random access memories (RAMs) and one or more non-volatile memories (NVMs). The random access memory can be directly readable and writable by the processor 103, and can be used to store executable programs (such as machine instructions) of programs in running or other states, and can also be used to store user and application data, etc. The random access memory can include static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), etc.

[0112] In some embodiments, the non-volatile memory can also store executable programs and store data of users and applications, and the like, which can be loaded in advance into the random access memory for direct reading and writing by the processor 103. The non-volatile memory can include a magnetic disk storage device, a flash memory.

[0113] In other embodiments, the computer device 10 further includes an external memory interface for connecting an external memory to expand the storage capacity of the computer device 10.

[0114] In some embodiments, the processor 103 can include one or more processing units, for example: the processor 103 can include an application processor (AP), a modem processor, a graphics processing unit (GPU), an image signal processor (ISP), a controller, a video codec, a digital signal processor (DSP), and / or a neural-network processing unit (NPU), etc. Among them, different processing units can be independent devices, or can be integrated in one or more processors.

[0115] It can be understood that the structure illustrated in the embodiments of the present application does not constitute a specific limitation on the computer device 10. In other embodiments of the present application, the computer device 10 can include more or fewer components than the illustration, or combine certain components, or split certain components, or different component arrangements. The illustrated components can be implemented in hardware, software, or a combination of software and hardware.

[0116] The embodiments of the present application also provide a computer readable storage medium, and the computer readable storage medium stores a computer program. The computer program includes program instructions, and the method implemented by executing the program instructions can refer to the method in each of the above embodiments of the present application.

[0117] Among them, the computer readable storage medium can be the internal memory of the computer device as described in the above embodiments, for example, the hard disk or the memory of the computer device. The computer readable storage medium can also be an external storage device of the computer device, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc.

[0118] In some embodiments, the computer readable storage medium can include a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs required by at least one function, and the like; and the data storage area can store data created according to the use of the computer device, and the like.

[0119] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the described device embodiments are merely illustrative. For example, the division of the modules is merely logical function division. There can be another division manner in actual implementation.

[0120] The modules illustrated as separated components can or can not be physically separated, and the components illustrated as modules can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purposes of the embodiments.

[0121] In addition, each functional module in the various embodiments of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware, or in the form of hardware plus software function modules.

[0122] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and therefore all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present application. Any reference signs in the claims should not be regarded as limiting the claims involved.

[0123] In addition, it is obvious that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. The plurality of units or devices stated in the present application can also be implemented by one unit or device through software or hardware. The words first, second, etc. are used to indicate names and not to indicate any specific order.

[0124] Finally, it should be noted that the above embodiments are merely used to illustrate the technical solutions of the present application but not limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A vehicle body side panel structure design architecture, characterized in that, The vehicle body side panel structure design architecture includes a business application layer and a basic data layer for communication connectivity. The business application layer includes: The vehicle definition unit is used to determine the vehicle requirement information corresponding to the vehicle to be designed, and to determine the frame features and component features corresponding to the vehicle requirement information based on the first data information in the basic data layer. The performance definition unit, connected to the vehicle definition unit, is used to determine the performance requirement information corresponding to the vehicle to be designed, and to determine the index constraints corresponding to the performance requirement information based on the second data information in the basic data layer. The intelligent decision-making unit, connected to the performance definition unit, is used to determine, based on the indicator constraints and the third data information within the basic data layer, the first design parameters corresponding to the framework features and the second design parameters corresponding to the component features; and An assembly unit is generated and connected to the intelligent decision-making unit. It is used to generate a side structure model corresponding to the vehicle based on the first design parameters and the frame features, as well as the second design parameters and the component features. The side structure model is used to design the vehicle body side structure so that the vehicle body side structure meets the overall vehicle requirements information and the performance requirements information.

2. The vehicle body side panel structure design architecture as described in claim 1, characterized in that, The basic data layer includes a configuration information database, a styling layout feature database, and a design information database. The first data information includes data from the configuration information database, the styling layout feature database, and the design database. The vehicle definition unit is further used for: The vehicle requirements information is analyzed to obtain configuration information and styling layout information; Based on the configuration information and the configuration information database, the configuration structure corresponding to the configuration information is determined, and based on the styling arrangement information and the styling arrangement feature database, the styling arrangement feature corresponding to the styling arrangement information is determined; Based on the configuration structure, the styling layout features, and the design information database, the frame features and component features corresponding to the vehicle requirement information are determined.

3. The vehicle body side panel structure design architecture as described in claim 1, characterized in that, The basic data layer also includes a functional model library, the second data information includes data within the functional model library, and the performance definition unit is further used for: Based on the mapping relationship between preset indicator items and performance in the functional model library, determine multiple indicator items corresponding to the performance requirement information; The indicator constraints corresponding to each indicator item are determined by using the preset indicator constraint decision model in the functional model library.

4. The vehicle body side panel structure design architecture as described in claim 1, characterized in that, The basic data layer also includes an intelligent decision-making algorithm library, and the third data information includes data within the intelligent decision-making algorithm library. The intelligent decision-making unit is further used for: Determine the framework parameters corresponding to the framework features; based on the index constraints and the framework parameters, determine the model using the framework parameters in the intelligent decision-making algorithm library, and determine the first design parameters corresponding to the framework features; as well as Determine the component parameters corresponding to the component features; based on the index constraints and the component parameters, use the component parameter determination model in the intelligent decision-making algorithm library to determine the second design parameters corresponding to the component features.

5. The vehicle body side panel structure design architecture as described in claim 4, characterized in that, The basic data layer also includes a cross-sectional parameter library and a functional cross-sectional parameter library, and the intelligent decision-making unit is further used for: Based on the cross-section parameter library, obtain multiple initial frame parameters corresponding to the frame features; Based on the functional section parameter library, an initial frame parameter corresponding to a sensitivity value greater than or equal to a preset threshold is selected as the frame parameter corresponding to the frame feature. The sensitivity value is used to indicate the sensitivity of the initial frame parameter to the performance requirement information.

6. The vehicle body side panel structure design architecture as described in claim 1, characterized in that, The generation and assembly unit includes a model generation subunit and a model assembly subunit, which are connected. The model generation subunit is used to generate a frame model corresponding to the frame feature based on the first design parameters, and to generate a component model corresponding to the component feature based on the second design parameters. The model assembly subunit is used to generate a side structure model corresponding to the vehicle based on the frame model and the component model.

7. The vehicle body side panel structure design architecture as described in claim 6, characterized in that, The basic data layer also includes a design information database. The model assembly subunit is further used to determine the positional relationship between the frame model and the component model based on the design information database; and to add the component model to the frame model based on the positional relationship to obtain the side structure model.

8. A vehicle side panel structure design method, applied to the design framework of vehicle side panel structures, characterized in that, The method includes: Determine the overall vehicle requirements and performance requirements for the vehicle to be designed; Determine the framework features and component features corresponding to the vehicle demand information, and determine the index constraints corresponding to the performance demand information; Based on the aforementioned index constraints, the first design parameters corresponding to the frame features and the second design parameters corresponding to the component features are determined. Based on the first design parameters and the frame features, and the second design parameters and the component features, a side structure model corresponding to the vehicle is generated. The side structure model is used to design the vehicle body side structure so that the vehicle body side structure meets the overall vehicle requirements information and the performance requirements information.

9. The vehicle body side panel structure design method as described in claim 8, characterized in that, The step of determining the first design parameter corresponding to the frame feature and the second design parameter corresponding to the component feature based on the index constraint includes: Determine the framework parameters corresponding to the framework features; based on the index constraints and the framework parameters, determine the model using preset framework parameters, and determine the first design parameters corresponding to the framework features; and Determine the component parameters corresponding to the component features; based on the index constraints and the component parameters, use a preset component parameter determination model to determine the second design parameters corresponding to the component features.

10. The vehicle body side panel structure design method as described in claim 9, characterized in that, Determining the frame parameters corresponding to the frame features includes: Obtain multiple initial framework parameters corresponding to the framework features; Determine the sensitivity values ​​of the initial framework parameters corresponding to the performance requirement information; Select the initial frame parameters corresponding to the sensitivity values ​​that are greater than or equal to a preset threshold, and use them as the frame parameters corresponding to the frame features.

11. The vehicle body side panel structure design method as described in claim 8, characterized in that, Based on the first design parameters and the frame features, and the second design parameters and the component features, a side panel structure model corresponding to the vehicle is generated, including: Based on the first design parameters, a frame model corresponding to the frame feature is generated, and based on the second design parameters, a component model corresponding to the component feature is generated. Determine the positional relationship between the frame model and the component models; Based on the positional relationship, the component model is added to the frame model to obtain the side structure model.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor of a computer device, implements the vehicle body side panel structure design method as described in any one of claims 8 to 11.

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