Tailgate structure design methods, devices, equipment, storage media and program products

Abstract

This application provides a design method, apparatus, device, storage medium, and program product for a tailgate structure. The method includes: obtaining an initial tailgate structure and a preset tailgate performance optimization target; constructing a performance analysis model of the initial tailgate structure; the performance analysis model includes at least a modal analysis model and at least one attribute performance analysis model; the tailgate performance optimization target includes at least a preset modal target value and at least one attribute performance target value; using the preset modal target value and at least one attribute performance target value as constraints, and based on the modal analysis model and at least one attribute performance analysis model, determining the optimization parameters of the initial tailgate structure; and using the optimization parameters to perform structural optimization on the initial tailgate structure to obtain the optimized tailgate structure. This application enables the acquisition of a low-modal tailgate, thereby reducing road noise and ear pressure in the vehicle.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a design method, device, equipment, storage medium, and program product for a tailgate structure. Background Technology

[0002] Noise, Vibration, and Harshness (NVH) performance is a crucial indicator affecting in-vehicle comfort. With the increasing popularity of electric vehicles, NVH issues in vehicles based on pure electric architecture are becoming increasingly prominent. Because the new three-electric system (battery, motor, and electronic control) has replaced the internal combustion engine as the vehicle's power system, the masking effect of power system noise on road noise is weakened, resulting in more pronounced road noise in pure electric vehicles.

[0003] For Sport Utility Vehicles (SUVs) and Multi-Purpose Vehicles (MPVs), the tailgate's structural characteristics make it easily coupled with the vehicle's S-curve or the acoustic cavity's internal modes. Furthermore, the tailgate's proximity to the rear axle makes it susceptible to road noise excitation. These two factors significantly impact road noise pressure on the ears, especially in Battery Electric Vehicles (BEVs), where the noise masking effect of the powertrain is lost, making road noise pressure even more pronounced.

[0004] However, continuously strengthening the tailgate structure or adding a Tuning Vibration Absorber (TVA) to solve the problem of road noise suppressing the ear will not only lead to excessive weight increase in the tailgate, but also cause the tailgate cost to rise sharply. Summary of the Invention

[0005] This application provides a tailgate structure design method, device, equipment, storage medium, and program product. By optimizing the initial tailgate structure through preset modal target values ​​and constructed performance analysis models, a low-modal tailgate can be obtained, thereby reducing the road noise and ear pressure of the whole vehicle.

[0006] The technical solution of this application embodiment is implemented as follows:

[0007] This application provides a design method for a tailgate structure. The method includes: obtaining an initial tailgate structure and a preset tailgate performance optimization target; constructing a performance analysis model of the initial tailgate structure; the performance analysis model includes at least a modal analysis model and at least one attribute performance analysis model; the tailgate performance optimization target includes at least a preset modal target value and at least one attribute performance target value; using the preset modal target value and the at least one attribute performance target value as constraints, determining optimization parameters of the initial tailgate structure based on the modal analysis model and the at least one attribute performance analysis model; and using the optimization parameters to perform structural optimization on the initial tailgate structure to obtain an optimized tailgate structure.

[0008] This application provides a tailgate structure design apparatus, comprising: an acquisition module for acquiring an initial tailgate structure and a preset tailgate performance optimization target; a construction module for constructing a performance analysis model of the initial tailgate structure; the performance analysis model includes at least a modal analysis model and at least one attribute performance analysis model; the tailgate performance optimization target includes at least a preset modal target value and at least one attribute performance target value; and an optimization module for determining optimization parameters of the initial tailgate structure based on the modal analysis model and the at least one attribute performance analysis model, using the preset modal target value and the at least one attribute performance target value as constraints; and performing structural optimization on the initial tailgate structure using the optimization parameters to obtain an optimized tailgate structure.

[0009] This application provides an electronic device, which includes: a memory for storing computer-executable instructions; and a processor for executing the computer-executable instructions stored in the memory to implement the tailgate structure design method provided in this application.

[0010] This application provides a computer-readable storage medium storing a computer program or computer-executable instructions, which, when executed by a processor, implements the design method of the tailgate structure provided in this application.

[0011] This application provides a computer program product, including a computer program or computer executable instructions. When the computer program or computer executable instructions are executed by a processor, they implement the design method of the tailgate structure provided in this application.

[0012] The embodiments of this application have the following beneficial effects:

[0013] First, an initial tailgate structure and preset tailgate performance optimization targets are obtained. Then, a performance analysis model of the initial tailgate structure is constructed. Next, using preset modal target values ​​and at least one attribute performance target value as constraints, optimization parameters for the initial tailgate structure are determined based on the modal analysis model and at least one attribute performance analysis model. In this way, the tailgate structure can be continuously optimized towards the target direction defined by the constraints. Finally, the initial tailgate structure is structurally optimized using the optimization parameters to obtain the optimized tailgate structure. Through this application, the initial tailgate structure can be structurally optimized using preset modal target values ​​and the constructed performance analysis model to obtain a low-modal tailgate, thereby reducing road noise and ear pressure in the vehicle. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of an optional architecture of the tailgate structure design system provided in this application embodiment;

[0015] Figure 2 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application;

[0016] Figure 3 This is an optional flowchart illustrating the design method of the tailgate structure provided in this application embodiment;

[0017] Figure 4 This is a schematic diagram of the implementation process for constructing a performance analysis model provided in an embodiment of this application;

[0018] Figure 5 This is a schematic diagram illustrating the implementation process of constructing a modal analysis model provided in an embodiment of this application;

[0019] Figure 6 This is a schematic diagram of the implementation process for determining optimization parameters provided in the embodiments of this application;

[0020] Figure 7 This is a schematic diagram of the implementation process for determining optimization sub-parameters provided in an embodiment of this application;

[0021] Figure 8 This is a schematic diagram illustrating the theoretical analysis results of the relationship between tailgate modes and road noise provided in the embodiments of this application;

[0022] Figure 9 This is a schematic diagram of the real vehicle verification results of the relationship between tailgate mode and road noise provided in the embodiments of this application;

[0023] Figure 10 This is a schematic flowchart of the tailgate structure design provided in the embodiments of this application;

[0024] Figure 11 This is a schematic diagram of the optimized process of the tailgate structure provided in the embodiments of this application. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0027] In this application embodiment, the terms "module" or "unit" refer to a computer program or part of a computer program that has a predetermined function and works with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.

[0028] Unless otherwise defined, all technical and scientific terms used in the embodiments of this application have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in the embodiments of this application is for the purpose of describing the embodiments of this application only and is not intended to limit this application.

[0029] In the implementation of this application, the collection and processing of relevant data should strictly comply with the requirements of relevant national laws and regulations, obtain the informed consent or separate consent of the personal information subject, and carry out subsequent data use and processing within the scope of laws and regulations and the authorization of the personal information subject.

[0030] Before providing a further detailed description of the embodiments of this application, the nouns and terms involved in the embodiments of this application will be explained, and the nouns and terms involved in the embodiments of this application shall be interpreted as follows.

[0031] 1) Tailgate mode: refers to the vibration mode of a car tailgate due to its own elastic characteristics when subjected to external forces, including the natural frequency (modal frequency) and vibration shape (modal shape) of the tailgate structure. In the embodiments of this application, unless otherwise specified, tailgate mode refers to modal frequency.

[0032] 2) Modal frequency: refers to the natural vibration frequency of the tailgate during free vibration.

[0033] 3) Attribute Performance: In vehicle design, the tailgate, as a critical functional component, directly impacts the vehicle's reliability, durability, safety, and passenger comfort during daily use. To ensure the tailgate's overall performance meets high standards, its performance indicators encompass not only modal characteristics but also attribute performance. Attribute performance refers to the characteristics used to evaluate the tailgate's fundamental properties. These fundamental properties include, but are not limited to, fatigue durability, mechanical strength, surface matching accuracy, structural stability, bending stiffness, over-opening strength, operational strength of the power door, and resistance to top cracking. Correspondingly, attribute performance includes, but is not limited to, key performance parameters such as fatigue durability, mechanical strength, surface matching accuracy, structural stability, bending stiffness, over-opening strength, operational strength of the power door, and resistance to top cracking. These attribute performance characteristics must strictly meet established design specifications and functional requirements to ensure the tailgate exhibits excellent performance throughout the vehicle's lifespan. It is understood that attribute performance can be any tailgate performance characteristic other than modal performance.

[0034] In related technologies, the development strategy for tailgates of gasoline-powered vehicles typically involves raising the tailgate modality relative to the engine idle frequency. The corresponding tailgate design method generally involves the following steps: determining the structure of the inner and outer tailgate panels based on the external and internal styling surfaces; designing the taillight mounting plate based on the taillight's through-type design; designing a tailgate lock reinforcement plate based on the strength of the inner tailgate panel; designing the support structure between the inner tailgate panels based on the stiffness of the mounting points; designing the tailgate waist reinforcement based on the tailgate's bending stiffness and surface differences; designing tailgate hinge reinforcement based on the tailgate's over-opening and lateral deformation performance; conducting tailgate performance simulation analysis (modal and strength / durability performance), and reinforcing the tailgate structure for any deficiencies; designing weight-reduction holes for the inner tailgate panel and reinforcements to complete the tailgate structural design. The tailgate modality designed based on this strategy is typically around 30Hz. For mid-to-large SUVs and MPVs, the body S-bending mode is generally located around 30Hz, leading to strong coupling between the tailgate mode and the body S-bending mode, resulting in severe road noise and ear-splitting issues. However, the related technologies, in order to solve the problem of road noise suppressing the ear, usually result in a tailgate design that is expensive and adds too much weight.

[0035] Based on at least one of the aforementioned problems in the related technologies, embodiments of this application provide a tailgate structure design method, apparatus, device, storage medium, and program product. By optimizing the initial tailgate structure through preset modal target values ​​and constructed performance analysis models, a low-modal tailgate can be obtained, thereby reducing the road noise and ear pressure of the entire vehicle.

[0036] See Figure 1 , Figure 1This is an optional architecture diagram of the tailgate structure design system provided in the embodiments of this application. In order to support an application that reduces road noise and ear pressure on the whole vehicle, in system 100, terminal 400 is connected to server 200 through network 300. Network 300 can be a wide area network or a local area network, or a combination of both.

[0037] Terminal 400 is used to obtain the initial tailgate structure and the preset tailgate performance optimization target, and sends the initial tailgate structure and the preset tailgate performance optimization target to server 200.

[0038] Server 200 is used to construct a performance analysis model of the initial tailgate structure. The performance analysis model includes at least a modal analysis model and at least one attribute performance analysis model. The tailgate performance optimization objective includes at least a preset modal target value and at least one attribute performance target value. Based on the modal analysis model and at least one attribute performance analysis model, the optimization parameters of the initial tailgate structure are determined using the preset modal target value and at least one attribute performance target value as constraints. The initial tailgate structure is then optimized using the optimization parameters to obtain the optimized tailgate structure. Thus, by optimizing the initial tailgate structure using the preset modal target value and the constructed performance analysis model, a low-modal tailgate can be obtained, thereby reducing the road noise and ear pressure of the entire vehicle.

[0039] In some embodiments, server 200 may be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms. Terminals and servers can be connected directly or indirectly via wired or wireless communication, which is not limited in this embodiment.

[0040] See Figure 2 , Figure 2 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Figure 2 The illustrated electronic device 500 may be a server. The electronic device 500 includes at least one processor 510, a memory 540, and at least one network interface 520. The various components in the electronic device 500 are coupled together via a bus system 530. It is understood that the bus system 530 is used to implement communication between these components. In addition to a data bus, the bus system 530 also includes a power bus, a control bus, and a status signal bus. However, for clarity, ... Figure 2 The general labeled all buses as Bus System 530.

[0041] The processor 510 can be an integrated circuit chip with signal processing capabilities, such as a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc.

[0042] Memory 540 may be removable, non-removable, or a combination thereof. Exemplary hardware devices include solid-state memory, hard disk drives, optical disk drives, etc. Memory 540 may optionally include one or more storage devices physically located remote from processor 510. Memory 540 may include volatile memory or non-volatile memory, or both. Non-volatile memory may be read-only memory (ROM), and volatile memory may be random access memory (RAM). The memory 540 described in this application embodiment is intended to include any suitable type of memory. In some embodiments, memory 540 is capable of storing data to support various operations, examples of which include programs, modules, and data structures, or subsets or supersets thereof, as illustrated below.

[0043] Operating system 541 includes system programs for handling various basic system services and performing hardware-related tasks, such as a framework layer, core library layer, and driver layer, for implementing various basic business functions and handling hardware-based tasks; network communication module 542 is used to reach other electronic devices via one or more (wired or wireless) network interfaces 520, exemplary network interfaces 520 including Bluetooth, WiFi, and Universal Serial Bus (USB). In some embodiments, the tailgate structure design device provided in this application can be implemented in software. Figure 2 A design apparatus 543 for a tailgate structure stored in memory 540 is shown. This apparatus can be software in the form of programs and plug-ins, including the following software modules: an acquisition module 5431, a construction module 5432, and an optimization module 5433. These modules are logically related and can therefore be arbitrarily combined or further separated according to the functions they implement. The functions of each module will be described below.

[0044] In other embodiments, the tailgate structure design apparatus provided in this application can be implemented in hardware. As an example, the tailgate structure design apparatus provided in this application can be a processor in the form of a hardware decoding processor, which is programmed to execute the tailgate structure design method provided in this application. For example, the processor in the form of a hardware decoding processor can be one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic components.

[0045] The following describes exemplary applications of the electronic devices provided in the embodiments of this application. The electronic devices provided in the embodiments of this application can be implemented as various types of terminals such as laptops, tablets, desktop computers, set-top boxes, smartphones, smart speakers, smartwatches, smart TVs, and vehicle terminals, or they can be implemented as servers.

[0046] The design method of the tailgate structure provided in this application will be described in conjunction with exemplary applications and implementations of the electronic device provided in the embodiments of this application. Taking a server as the executing entity as an example, the design method of the tailgate structure in the embodiments of this application will be described, see [link to relevant documentation]. Figure 3 , Figure 3 This is an optional flowchart illustrating the design method of the tailgate structure provided in this application embodiment, which will be combined with... Figure 3 Steps 101 to 104 are described below.

[0047] In step 101, the initial tailgate structure and the preset tailgate performance optimization target are obtained.

[0048] In some embodiments, the structures of the tailgate inner panel, tailgate outer panel, and taillight mounting plate can be pre-designed based on the inner and outer styling surfaces of the tailgate and the taillight structure. Within the permissible spatial boundaries corresponding to the tailgate inner and outer panels and the taillight mounting plate, the structures of the lock reinforcement plate, inner and outer panel supports, waist reinforcement, and hinge reinforcement plate are designed. The tailgate inner and outer panels, taillight mounting plate, lock reinforcement plate, inner and outer panel supports, waist reinforcement, and hinge reinforcement plate are combined to obtain the entire tailgate structure. The pre-designed entire tailgate structure is used as the initial tailgate structure.

[0049] When optimizing the tailgate structure, it is necessary to determine the tailgate performance optimization target. The tailgate performance that needs to be considered may include: tailgate mode, tailgate durability, tailgate stability, tailgate appearance quality, tailgate stiffness, tailgate material toughness and structural integrity, etc. The above performance is only used for illustration and does not limit the embodiments of this application. According to the actual situation, the various performances that need to be considered for the tailgate structure can be determined, and then the corresponding optimization target can be determined based on these performances.

[0050] As an example, tailgate durability characterizes the fatigue life and durability of the tailgate under repeated loads. The optimization target for tailgate durability can be a fatigue life that exceeds the service life of the vehicle and withstand 50,000 to 100,000 opening and closing cycles.

[0051] In step 102, a performance analysis model of the initial tailgate structure is constructed.

[0052] The performance analysis model shall include at least a modal analysis model and at least one attribute performance analysis model; the tailgate performance optimization objective shall include at least a preset modal objective value and at least one attribute performance objective value.

[0053] In some embodiments, see Figure 4 , Figure 4 This is a schematic diagram illustrating the implementation process of constructing a performance analysis model provided in an embodiment of this application. Figure 3 Step 102 shown can be implemented through steps 1021 to 1023, which are explained in detail below.

[0054] In step 1021, the performance to be analyzed of the initial tailgate structure is determined, including modal performance and at least one attribute performance.

[0055] In some embodiments, the performance to be analyzed of the initial tailgate structure is determined according to a preset tailgate performance optimization target. The performance to be analyzed includes modal performance and at least one attribute performance. The tailgate modality is directly related to the noise generated by the vehicle, and modal analysis helps to control the vehicle's NVH performance and improve ride comfort.

[0056] As an example, some companies, in order to reduce vehicle manufacturing costs while ensuring passenger comfort, need to use the tailgate mode as a monitoring indicator. For instance, the body S-curve mode is generally located around 30Hz. In order to decouple the tailgate mode from the body S-curve mode, the tailgate mode can be higher or lower than 30Hz. If the tailgate mode is higher than 30Hz, the weight of the tailgate can be increased, but at the same time, the cost of the tailgate will also increase. To reduce costs, the tailgate mode can be lowered when designing the tailgate. In addition, considering that the tailgate also needs to ensure the personal safety of passengers, the following performance characteristics can be considered when designing the tailgate: such as strength (to ensure that the tailgate will not be damaged under normal use and extreme conditions (such as collisions), rigidity (to maintain the shape stability of the tailgate and prevent excessive deformation under load), collision safety (to ensure that the tailgate can provide sufficient passenger protection in a collision), durability (to ensure that the tailgate structure can withstand the test of long-term use without fatigue failure), opening and closing performance (to ensure that the tailgate opens and closes smoothly and with moderate force, without causing inconvenience to passengers), sealing performance (to ensure that the tailgate can effectively seal and prevent moisture and dust from entering the vehicle), and lightweight (to reduce the weight of the tailgate as much as possible while ensuring performance).

[0057] In step 1022, the key components and auxiliary parts in the initial tailgate structure are obtained, as well as the connection relationship between the key components and the auxiliary parts.

[0058] In some embodiments, key components in the initial tailgate structure are obtained, the structure of auxiliary parts in the initial tailgate structure is determined based on the structure of the key components, and the connection relationship between the key components and the auxiliary parts is determined based on the structure of the key components and the structure of the auxiliary parts.

[0059] As an example, key components could be the inner tailgate panel, outer tailgate panel, and taillight mounting plate, while auxiliary parts could be lock reinforcement plates, inner and outer panel supports, waist reinforcements, and hinge reinforcements. The structures of the inner and outer tailgate panels and taillight mounting plate can be determined in advance based on the tailgate's inner and outer profiles and the taillight structure. Then, the structures of the lock reinforcement plates, inner and outer panel supports, waist reinforcements, and hinge reinforcements can be determined based on these predetermined structures. For instance, if the spatial boundaries (i.e., the outer contours of the inner and outer tailgate panels) allow, designing the auxiliary parts as large and robust structures and connecting the key components with the auxiliary parts reveals the connection relationships between them, thus obtaining the entire tailgate structure.

[0060] In step 1023, based on key components, auxiliary parts, and connection relationships, a modal analysis model for analyzing modal performance and an attribute performance analysis model for analyzing the performance of each attribute are constructed.

[0061] In some embodiments, see Figure 5 , Figure 5 This is a schematic diagram illustrating the implementation process of constructing a modal analysis model provided in an embodiment of this application. Figure 4 The step 1023 shown, "constructing a modal analysis model for analyzing modal performance based on key components, auxiliary parts, and connection relationships," can be achieved through the following steps 10231 to 10232, which are explained in detail below.

[0062] In step 10231, the stiffness deviation range of the tailgate boundary fittings of the initial tailgate structure is determined based on key components, auxiliary parts, and connection relationships.

[0063] In some embodiments, step 10231 above can be implemented by the following technical solution: constructing a modal simulation model based on key components, auxiliary parts and connection relationships; determining the modal output result of the modal simulation model by adjusting the tailgate state of the initial tailgate structure; fitting the modal output result to obtain the modal dispersion range of the initial tailgate structure; and determining the stiffness deviation range of the tailgate boundary accessories based on the modal dispersion range.

[0064] As an example, a three-dimensional geometric model of the tailgate structure can be drawn based on the structural dimensions of key components, auxiliary parts, and their connection relationships. This three-dimensional geometric model is then imported into finite element analysis software, and modal analysis is selected to obtain a modal simulation model. Within the software, the tailgate state can be adjusted by modifying the tailgate boundary fittings in the initial tailgate structure, determining the modal output results of the modal simulation model under different tailgate states. The modal output results corresponding to the same tailgate boundary fitting are then fitted to obtain the modal dispersion range corresponding to the tailgate boundary fitting in the initial tailgate structure. Finally, the stiffness deviation range of the tailgate boundary fitting is determined based on the modal dispersion range.

[0065] For example, tailgate boundary components can be latches, limit blocks, buffer blocks, and sealing strips. Taking the buffer block as an example, the tailgate can be kept in its original state with the latch positioned furthest forward, while the limit block and buffer block are at their maximum compression positions, yielding the modal output of the modal simulation model. Alternatively, the tailgate can be kept in its original state with the latch positioned furthest back, while the limit block and buffer block are at their minimum compression positions, yielding the modal output of the modal simulation model. By fitting the two modal outputs, the range of modal dispersion caused by the buffer block stiffness deviation can be obtained. Then, for the initial tailgate structure, the modal simulation model is used to adjust the buffer block stiffness. This allows determining the buffer block stiffness when the modal values ​​of the initial tailgate structure match the maximum value in the modal dispersion range, and the buffer block stiffness when the modal values ​​of the initial tailgate structure match the minimum value in the modal dispersion range. Fitting the two buffer block stiffness values ​​yields the stiffness deviation range. It should be noted that the method for determining the stiffness deviation range of the latch, limit block, and sealing strip can refer to the implementation method of the buffer block, which will not be elaborated here.

[0066] The above technical solution can calculate the stiffness deviation range of the tailgate boundary components, so that the influence of the tailgate boundary components on the tailgate mode can be taken into account in the subsequent tailgate design stage, thereby reducing the risk that the tailgate mode in the actual vehicle stage exceeds the target mode in the design stage.

[0067] In step 10232, a modal analysis model for analyzing modal performance is constructed based on the stiffness deviation range.

[0068] In some embodiments, step 10232 above can be implemented by the following technical solution: determining the mapping relationship between the modal values ​​of the initial tailgate structure and the boundary stiffness of the tailgate boundary fittings based on the stiffness deviation range; and constructing a modal analysis model for analyzing modal performance based on the mapping relationship.

[0069] As an example, the mapping relationship between the modal values ​​of the initial tailgate structure and the boundary stiffness of the tailgate boundary components is determined based on the upper stiffness deviation (i.e., the maximum stiffness) within the stiffness deviation range of each tailgate boundary component. For instance, the upper stiffness deviation of each tailgate boundary component can be used as a boundary parameter, and modal analysis can be performed on multiple different tailgate structures in a modal simulation model, recording the modal values. Then, statistical analysis, such as linear regression or surface fitting, can be used to establish the mapping relationship between the modal values ​​and the stiffness of the boundary components. Finally, based on this mapping relationship, a modal analysis model is constructed to analyze modal performance.

[0070] The above technical solution allows for the consideration of the impact of tailgate boundary components on the tailgate modality during the tailgate design phase, thereby reducing the risk that the tailgate modality in the actual vehicle stage will exceed the target modality in the design phase.

[0071] Through steps 10231 to 10232, the stiffness deviation range of the tailgate boundary components can be calculated. This allows the influence of the tailgate boundary components on the tailgate mode to be taken into account during the tailgate design phase, reducing the risk that the tailgate mode in the actual vehicle stage will exceed the target mode in the design phase.

[0072] In some embodiments, a three-dimensional geometric model can be drawn based on the structural dimensions of key components and auxiliary parts, as well as their connection relationships. The three-dimensional geometric model is then imported into finite element analysis software, and the corresponding analysis type is selected according to the performance to be analyzed, thereby obtaining an attribute performance analysis model for analyzing each attribute performance.

[0073] Through steps 1021 to 1023, the performance to be analyzed in the initial tailgate structure can be determined. Then, based on the key components, auxiliary parts, and connection relationships, a performance analysis model corresponding to each performance is constructed. Specialized model construction and analysis are carried out for different performance indicators, thereby obtaining more accurate performance evaluation results of the tailgate structure.

[0074] See also Figure 3 Continuing from step 102 above.

[0075] In step 103, the optimization parameters of the initial tailgate structure are determined based on the modal analysis model and at least one attribute performance target value, constrained by the preset modal target value and at least one attribute performance analysis model.

[0076] In some embodiments, see Figure 6 , Figure 6 This is a schematic diagram illustrating the implementation process of determining optimization parameters provided in an embodiment of this application. Figure 3 Step 103 shown can be implemented through steps 1031 to 1032, which are explained in detail below.

[0077] In step 1031, with preset modal target values ​​and at least one attribute performance target value as constraints, the optimization sub-parameters of the initial tailgate structure are determined based on the modal analysis model and at least one attribute performance analysis model during at least one round of tailgate structure optimization.

[0078] In some embodiments, see Figure 7 , Figure 7 This is a schematic diagram illustrating the implementation process of determining optimization sub-parameters provided in an embodiment of this application. Figure 6 Step 1031 shown can be implemented through steps 10311 to 10314, which will be explained in detail below.

[0079] In step 10311, the optimization sub-parameters for the N-1th round of tailgate structure optimization are obtained, and the tailgate structure for the N-1th round of tailgate structure optimization is optimized based on the optimization sub-parameters to obtain the tailgate structure after the N-1th round of tailgate structure optimization.

[0080] Where N is an integer greater than 1.

[0081] As an example, optimizing the tailgate structure typically involves multiple rounds of optimization. During each round of optimization, the optimization sub-parameters from the (N-1)th round of tailgate structure optimization can be obtained. Based on these sub-parameters, the tailgate structure from the (N-1)th round of optimization is then further optimized to obtain the optimized tailgate structure from the (N-1)th round of optimization.

[0082] For example, taking the first round as an example, the optimization sub-parameters for the first round are obtained. The optimization sub-parameters can be optimization sub-parameters for the tailgate structure size. For example, if the tailgate structure size is too small, the optimization sub-parameter can be 1cm, which means that the length and width of the tailgate structure are increased by 1cm; if the tailgate structure size is too large, the optimization sub-parameter can be -1cm, which means that the length and width of the tailgate structure are decreased by 1cm. It should be noted that the above data is only used for illustrative purposes. The specific values ​​and forms of the optimization sub-parameters should be set according to the actual situation. This application embodiment does not limit this.

[0083] In step 10312, based on the modal analysis model and at least one attribute performance analysis model, the modal values ​​and at least one attribute performance value of the tailgate structure after optimization in the (N-1)th round are determined.

[0084] As an example, a modal analysis model and at least one attribute performance analysis model are used to perform performance analysis on the optimized tailgate structure of the (N-1)th wheel, obtaining the modal values ​​and at least one attribute performance value of the optimized tailgate structure. For example, taking the modal analysis model, fatigue durability analysis model, and tensile strength model as examples, the modal analysis model performs performance analysis on the optimized tailgate structure of the (N-1)th wheel and obtains the modal values; the fatigue durability analysis model performs performance analysis on the optimized tailgate structure of the (N-1)th wheel and obtains the service life of the tailgate structure; and the tensile strength model performs performance analysis on the optimized tailgate structure of the (N-1)th wheel and obtains the maximum stress that the tailgate structure material can withstand during tension.

[0085] In step 10313, in response to the modal value being greater than the preset modal target value, and / or at least one attribute performance value not satisfying the constraint condition with at least one attribute performance target value, the optimization sub-parameters for the Nth round of tailgate structure optimization are determined.

[0086] In some embodiments, when the modal value is greater than the preset modal target value, and / or at least one attribute performance value does not meet the constraint conditions with at least one attribute performance target value, it indicates that the tailgate structure after the N-1th round of tailgate structure optimization is unqualified and needs to be optimized in the next round, i.e., the optimization sub-parameters for the Nth round of tailgate structure optimization need to be determined. For example, taking the modal analysis model and fatigue durability analysis model as examples, for instance, the preset modal target value is 22Hz; the vehicle's scrap age is 10 years, and the tailgate service life corresponding to the fatigue durability performance needs to be greater than 10 years. The modal analysis model performs performance analysis on the tailgate structure after the N-1th round of tailgate structure optimization and obtains a modal value of 35Hz; the fatigue durability analysis model performs performance analysis on the tailgate structure after the N-1th round of tailgate structure optimization and obtains a tailgate structure service life of 15 years. Since the modal value is greater than the preset modal target value, the tailgate structure needs to be optimized further, and the optimization sub-parameters for the Nth round of tailgate structure optimization need to be determined.

[0087] In some embodiments, the "determining the optimization sub-parameters for the Nth round of tailgate structure optimization" in step 10313 above can be achieved through the following technical solution: obtaining the current size parameters, current thickness parameters, and reinforcing rib distribution parameters of the tailgate structure after the (N-1)th round of tailgate structure optimization; determining the structural size adjustment parameters, structural thickness adjustment parameters, and reinforcing rib distribution adjustment parameters for the Nth round of tailgate structure optimization based on the current size parameters, current thickness parameters, and reinforcing rib distribution parameters; and determining the structural size adjustment parameters, structural thickness adjustment parameters, and reinforcing rib distribution adjustment parameters as the optimization sub-parameters for the Nth round of tailgate structure optimization.

[0088] As an example, obtain the current dimensional parameters, current thickness parameters, and stiffener distribution parameters of each key component and auxiliary part in the tailgate structure after the (N-1)th round of tailgate structure optimization. Based on the current dimensional parameters, current thickness parameters, and stiffener distribution parameters of each key component and auxiliary part, determine the structural dimensional adjustment parameters, structural thickness adjustment parameters, and stiffener distribution adjustment parameters of each key component and auxiliary part in the tailgate structure during the Nth round of tailgate structure optimization. These structural dimensional adjustment parameters, structural thickness adjustment parameters, and stiffener distribution adjustment parameters are then defined as the optimization sub-parameters for the Nth round of tailgate structure optimization.

[0089] For example, key components could be the inner tailgate panel, outer tailgate panel, and taillight mounting plate, while auxiliary parts could be lock reinforcement plates, inner and outer panel supports, waist reinforcements, and hinge reinforcements. First, obtain the current dimensional and thickness parameters of the tailgate inner panel, outer tailgate panel, taillight mounting plate, lock reinforcement plate, inner and outer panel supports, waist reinforcements, and hinge reinforcements after the (N-1)th round of tailgate structure optimization, as well as the distribution parameters of the reinforcing ribs in the tailgate inner panel. Then, based on the current dimensional and thickness parameters of these components, as well as the distribution parameters of the reinforcing ribs in the tailgate inner panel, adjustments are made to them.

[0090] Taking the tailgate outer panel as an example, the current size and thickness parameters of the tailgate outer panel after the N-1th round of tailgate structure optimization are 1800mm in height, 1500mm in width, and 1.8mm in thickness. Since the dimensions of the tailgate outer panel must match the overall design of the vehicle, only the thickness of the tailgate outer panel is optimized. When the modal value of the tailgate is greater than the preset modal target value, the thickness of the tailgate outer panel can be reduced, for example, by 1mm. Therefore, the structural thickness adjustment parameter of the tailgate outer panel is -1mm. The determination methods for the structural size adjustment parameters, structural thickness adjustment parameters, and reinforcing rib distribution adjustment parameters of other parts can refer to the above implementation method and will not be elaborated here. Then, the structural size adjustment parameters, structural thickness adjustment parameters, and reinforcing rib distribution adjustment parameters of each part are collectively determined as the optimization sub-parameters for the Nth round of tailgate structure optimization.

[0091] Through the above technical solution, the optimization sub-parameters for the Nth round can be determined based on the optimization results of the (N-1)th round, so that the optimization process of the tailgate structure in the Nth round can make targeted improvements to the problems and deficiencies of the previous round, and achieve a gradual improvement in the various performance aspects of the tailgate structure.

[0092] In step 10314, in response to the modal value being less than or equal to the preset modal target value, and at least one attribute performance value satisfying the constraint condition with at least one attribute performance target value, the determination of optimization sub-parameters is stopped.

[0093] In some embodiments, step 10314 above can be implemented by the following technical solution: in response to the modal value being less than or equal to a preset modal target value, and at least one attribute performance value satisfying the constraint condition with at least one attribute performance target value, the current weight of the tailgate structure after the N-1th round of tailgate structure optimization is determined; the current weight is reduced according to a preset weight reduction parameter to obtain the tailgate structure after the Nth round of tailgate structure optimization; in response to the modal value of the tailgate structure after the Nth round of tailgate structure optimization being greater than the preset modal target value, or any attribute performance value of the tailgate structure after the Nth round of tailgate structure optimization not satisfying the constraint condition with the corresponding attribute performance target value, the optimization sub-parameters during the N-1th round of tailgate structure optimization are determined as the optimization sub-parameters during the last round of tailgate structure optimization, and the determination of optimization sub-parameters is stopped.

[0094] As an example, when the modal value is less than or equal to the preset modal target value, and at least one attribute performance value satisfies the constraint conditions with at least one attribute performance target value, it indicates that all performance aspects of the optimized tailgate structure for the (N-1)th round are qualified. At this point, the current weight of the optimized tailgate structure for the (N-1)th round is determined, and then the current weight is reduced according to the preset weight reduction parameters to obtain the optimized tailgate structure for the Nth round. When reducing the current weight, the dimensional parameters and reinforcing rib distribution parameters of the tailgate structure do not need to be changed; the thickness parameter of the tailgate structure can be adjusted; alternatively, the reinforcing rib distribution parameters and the thickness parameter of the tailgate structure can be kept unchanged while adjusting the dimensional parameters; or the reinforcing rib distribution parameters can be kept unchanged while adjusting the thickness and dimensional parameters. It should be noted that the specific method of reducing the current weight is not limited in this embodiment and can be adjusted according to the actual situation.

[0095] When the modal value of the tailgate structure after the Nth round of tailgate structure optimization is greater than the preset modal target value, or when any attribute performance value of the tailgate structure after the Nth round of tailgate structure optimization does not meet the constraint condition with the corresponding attribute performance target value, it indicates that at least one of the performance characteristics of the tailgate structure after the N-1th round of tailgate structure optimization is unqualified. At this time, the tailgate structure will no longer be optimized, and the optimization sub-parameters of the N-1th round of tailgate structure optimization will be determined as the optimization sub-parameters of the last round of tailgate structure optimization.

[0096] By employing the above technical solutions, and ensuring that all performance aspects of the tailgate structure are up to standard, the tailgate mass is minimized, reducing its weight and consequently its cost.

[0097] Through steps 10311 to 10314, the direction and objectives of tailgate structure optimization can be clarified by modal target values ​​and attribute performance target values, and the various performance aspects of tailgate structure can be gradually improved through iterative optimization.

[0098] In step 1032, the sum of the optimization sub-parameters from at least one round of tailgate structure optimization is determined as the optimization parameters of the initial tailgate structure.

[0099] In some embodiments, the optimization sub-parameters of each round of tailgate structure optimization are summed, and the sum of the optimization sub-parameters is determined as the optimization parameters of the initial tailgate structure.

[0100] As an example, let's take the tailgate outer panel as an example. The tailgate outer panel's dimensions are 1800mm in height, 1500mm in width, and 1.8mm in thickness. Since the tailgate outer panel's dimensions must match the overall design of the car, only the thickness of the tailgate outer panel is optimized. For example, after three rounds of optimization, the thickness is reduced by 0.5mm in the first round, 0.5mm in the second round, and increased by 0.3mm in the third round. Therefore, the optimized parameter for the tailgate outer panel is -0.7mm, meaning the initial tailgate structure's thickness is reduced by 0.7mm to 1.1mm. The determination of the optimization parameters for other parts can refer to the above implementation method and will not be repeated here. Finally, the sum of the structural dimension adjustment parameters, structural thickness adjustment parameters, and reinforcing rib distribution adjustment parameters for each part is used to determine the initial tailgate structure's optimized parameters.

[0101] Through steps 1031 to 1032, the direction and objective of tailgate structure optimization can be clarified by modal target value and attribute performance target value, and the performance of tailgate structure can be improved by combining the optimization results of each round through iterative optimization.

[0102] See also Figure 3 Continuing from step 103 above.

[0103] In step 104, the initial tailgate structure is optimized using optimization parameters to obtain the optimized tailgate structure.

[0104] In some embodiments, the initial tailgate structure is optimized using the finally determined optimization parameters to obtain an optimized tailgate structure. All performance parameters of the optimized tailgate structure meet the preset tailgate performance optimization targets. For example, in step 103, the final optimization parameters for each component are obtained. Based on these optimization parameters, the parameters of each component in the initial tailgate structure are adjusted to obtain the optimized tailgate structure.

[0105] Through the embodiments of this application, an initial tailgate structure and a preset tailgate performance optimization target can be obtained. Then, a performance analysis model of the initial tailgate structure is constructed. Subsequently, with preset modal target values ​​and at least one attribute performance target value as constraints, the optimization parameters of the initial tailgate structure are determined based on the modal analysis model and at least one attribute performance analysis model. In this way, the tailgate structure can be continuously optimized towards the target direction defined by the constraints. Finally, the initial tailgate structure is structurally optimized using the optimization parameters to obtain the optimized tailgate structure. The embodiments of this application optimize the initial tailgate structure by using preset modal target values ​​and the constructed performance analysis model to obtain a low-modal tailgate, thereby reducing the road noise and ear pressure of the entire vehicle.

[0106] The following will describe an exemplary application of the embodiments of this application in a real-world application scenario.

[0107] The tailgate structure design method provided in this application embodiment can be used to design the tailgate of medium and large-sized pure electric SUVs or MPVs.

[0108] First, to decouple the tailgate mode from the vehicle body's S-curve mode, a new target strategy can be proposed for the tailgate mode. Through theoretical analysis and real-world verification, as the tailgate mode decreases, the in-vehicle road noise pressure effect gradually improves. When the tailgate mode decreases to below 22Hz, the pressure effect caused by the tailgate essentially disappears. Therefore, for mid-to-large-sized pure electric SUVs / MPVs, the target for the tailgate mode is set to be below 22Hz. (See also...) Figure 8 , Figure 8 This is a schematic diagram illustrating the theoretical analysis results of the relationship between tailgate modes and road noise provided in an embodiment of this application. See also... Figure 9 , Figure 9 This is a schematic diagram illustrating the real-vehicle verification results of the relationship between tailgate mode and road noise provided in an embodiment of this application. According to... Figure 9 The tailgate mode and road noise relationship curves provided can determine the relationship between the tailgate mode and the root mean square (RMS) value of the sound pressure. Please refer to Table 1 for details. When the in-vehicle noise frequency is in the range of 20Hz to 60Hz, the RMS value of the sound pressure generated when the tailgate mode is at 28Hz is 62.1dBA. When the in-vehicle noise frequency is in the range of 20Hz to 60Hz, the RMS value of the sound pressure generated when the tailgate mode is at 22Hz is 60.6dBA. Please refer to Table 1 for details.

[0109] Table 1. Relationship between tailgate mode and root mean square value of sound pressure.

[0110]

[0111] One of the performance optimization goals for the tailgate is that the tailgate mode frequency can be less than 22Hz. The tailgate structure design method provided in this application can use 22Hz as a preset modal target value to achieve the tailgate modal target and avoid the ear-piercing noise problem. See also Figure 10 , Figure 10 This is a flowchart illustrating the tailgate structure design provided in an embodiment of this application, with the server as the executing entity for explanation:

[0112] In step 1001, the structure of the tailgate inner and outer panels and the taillight mounting plate is obtained.

[0113] The structure of the tailgate inner and outer panels and the taillight mounting plate can be determined in advance based on the inner and outer styling surfaces of the tailgate and the taillight structure. It should be noted that the inner panel does not need to consider the shape design and weight reduction hole design; that is, the conceptual design of the inner panel is sufficient.

[0114] In step 1002, the structures of the lock reinforcement plate, inner and outer plate supports, waist reinforcement, and hinge reinforcement are obtained.

[0115] Lock reinforcement plates, inner and outer panel supports, waist reinforcement plates, and hinge reinforcement plates can be pre-designed. Without considering performance conditions, these four parts can be designed as large and robust structures within the spatial boundaries (outer contours of the tailgate's inner and outer panels), thus completing the spatial concept design of these four parts. Combined with the structure from step 1001, the spatial concept design of the entire tailgate structure is completed.

[0116] In step 1003, the modal dispersion of the tailgate and the influence of boundary factors on the modality are tested and obtained.

[0117] The modal dispersion range of the tailgate is obtained, and the influence of each boundary (latch / limiting block / buffer block / sealing strip) on the tailgate mode is determined. Since tailgates often require adjustment of the buffer block or latch position to address issues like rattling or surface defects during the later stages of production, this leads to modal dispersion. Furthermore, the adjustment direction often causes the tailgate mode to increase. While this has little impact on achieving the modal target for traditional high-modal tailgate design strategies, it significantly affects the achievement of the low-modal target strategy in this application. Therefore, the potential dispersion range is considered. The modal dispersion range of the tailgate and the influence of each boundary factor on the mode can be obtained using the tailgate modal dispersion and boundary stiffness testing methods shown in Table 2. The testing methods in Table 2 provide the upper and lower deviation test results of the tailgate mode corresponding to the upper and lower deviation ranges of each boundary stiffness.

[0118] Table 2 Test methods for tailgate modal dispersion and boundary stiffness

[0119]

[0120] In step 1004, the stiffness range of each boundary factor of the tailgate is fitted.

[0121] By repeatedly adjusting the stiffness of each boundary based on the tailgate modal simulation model, the modal results of the simulation model are fitted with the upper and lower deviation test results of the tailgate mode in step 1003, thereby obtaining the upper and lower deviation range of the stiffness of each boundary factor.

[0122] In step 1005, the upper deviation stiffness of each boundary factor is used as input to redetermine the tailgate modal analysis model.

[0123] The stiffness deviation values ​​of each boundary factor are used as the boundaries of the latest tailgate modal simulation model for modal control. In this way, when a low-modal design strategy is adopted, the tailgate structure optimized based on this model can basically control the risks caused by dispersion in the actual vehicle stage.

[0124] In step 1006, the tailgate structure is optimized using a multidisciplinary optimization method based on the Hyperworks software's multi-model optimization analysis module.

[0125] Based on Hyperworks software, the Multi-Model Optimization (MMO) module was used to optimize the tailgate structure obtained in steps 1001 and 1002 using the Multidisciplinary Design Optimization (MDO) method. The optimization mainly consisted of three steps: First, topology optimization was performed on all parts except the outer panel and taillight mounting plate to find the optimal structural material distribution. Second, thickness matching optimization was performed on all parts. Third, morphological feature optimization was performed on the inner panel to determine the optimal arrangement of reinforcing ribs. Through these three steps, the tailgate structure can basically meet the modal and strength / durability requirements while minimizing structural weight. For the detailed optimization process, please refer to [link to optimization process]. Figure 11 , Figure 11 This is a schematic diagram of the optimized process of the tailgate structure provided in the embodiments of this application, with the server as the executing entity for explanation:

[0126] In step 1101, the analysis models corresponding to each performance of the tailgate are determined and imported into the multi-model optimization module.

[0127] First, determine the corresponding analysis models for each performance of the tailgate (modal analysis model, fatigue durability analysis model, pull-down strength model, surface difference matching model, lateral displacement analysis model, bending stiffness analysis model, over-opening strength analysis model, electric door opening and closing strength analysis model, and top cracking analysis model). Then, import the MMO modules corresponding to each tailgate performance analysis model into Hyperworks software.

[0128] In step 1102, the multidisciplinary optimization objective and constraint space are determined.

[0129] The optimization objectives of MDO are determined as follows: the tailgate mode frequency is less than 22Hz and the tailgate mass is minimized. The constraint space is that the performance indicators of the attributes other than the mode in step 1101 are within the target range. The target range is set according to the specifications of the actual vehicle. This application embodiment does not limit this.

[0130] In step 1103, the parts other than the outer panel and the taillight mounting plate are used as topology variables for multidisciplinary optimization to determine the optimal structural material distribution.

[0131] The distribution of structural materials for the tailgate's outer panel is limited by the actual appearance design requirements, and the distribution of structural materials for the taillight mounting plate is limited by the actual taillight structure. Therefore, the parts other than the outer panel and taillight mounting plate can be used as topological variables, and Hyperworks software can be used for multidisciplinary optimization to determine the optimal distribution of structural materials for each part.

[0132] In step 1104, the part thickness is used as a variable for multidisciplinary optimization to determine the optimal material thickness matching.

[0133] Using the material thickness of the tailgate outer panel, taillight mounting plate, and parts in step 1103 as variables, Hyperworks software is used for multidisciplinary optimization to determine the optimal material thickness matching for each part.

[0134] In step 1105, the inner plate is used as a morphology optimization variable for multidisciplinary optimization to determine the optimal distribution of stiffeners in the inner plate.

[0135] The inner plate was used as a morphology optimization variable, and Hyperworks software was used for multidisciplinary optimization to determine the optimal distribution of stiffeners in the inner plate.

[0136] In step 1106, the performance of the tailgate is checked to ensure that it meets the requirements.

[0137] Calculate the performance indicators of the tailgate structure determined in steps 1103 to 1105, and determine whether each performance indicator meets the requirements. If one or more of the performance indicators do not meet the requirements, repeat step 1105 in step 1101; if all performance indicators meet the requirements, proceed to step 1107.

[0138] In step 1107, the optimization ends.

[0139] The tailgate structure optimization is complete. The current tailgate structure is taken as the final structural optimization result.

[0140] See also Figure 10In step 1007, the tailgate structure is refined to obtain a complete tailgate structure.

[0141] Based on the structural optimization results in step 1006, and combined with the process, a refined structural design is carried out to obtain a complete tailgate structure.

[0142] Through the embodiments of this application, a new tailgate modal control strategy (i.e., tailgate modal <22Hz) can be used to decouple the tailgate modal from the vehicle body S-curve modal, solve the problem of road noise pressure on the ears caused by the tailgate, and ensure that the performance target is achieved while maximizing the weight reduction of the tailgate and reducing the tailgate cost.

[0143] The following continues to describe an exemplary structure of the tailgate structure design device 543 provided in the embodiments of this application, implemented as a software module. In some embodiments, such as... Figure 2 As shown, the software modules stored in the tailgate structure design device 543 in the memory 540 may include:

[0144] The acquisition module 5431 is used to acquire the initial tailgate structure and the preset tailgate performance optimization target; the construction module 5432 is used to construct the performance analysis model of the initial tailgate structure; the performance analysis model includes at least a modal analysis model and at least one attribute performance analysis model; the tailgate performance optimization target includes at least a preset modal target value and at least one attribute performance target value; the optimization module 5433 is used to determine the optimization parameters of the initial tailgate structure based on the modal analysis model and at least one attribute performance analysis model, with the preset modal target value and at least one attribute performance target value as constraints; and to perform structural optimization on the initial tailgate structure using the optimization parameters to obtain the optimized tailgate structure.

[0145] In some embodiments, the construction module 5432 is further configured to determine the performance to be analyzed of the initial tailgate structure, the performance to be analyzed including modal performance and at least one attribute performance; obtain key components, auxiliary parts in the initial tailgate structure, and the connection relationship between the key components and the auxiliary parts; and construct a modal analysis model for analyzing modal performance and an attribute performance analysis model for analyzing each attribute performance based on the key components, auxiliary parts and connection relationships.

[0146] In some embodiments, the construction module 5432 is further configured to determine the stiffness deviation range of the tailgate boundary fittings of the initial tailgate structure based on key components, auxiliary parts, and connection relationships; and to construct a modal analysis model for analyzing modal performance based on the stiffness deviation range.

[0147] In some embodiments, the construction module 5432 is further configured to construct a modal simulation model based on key components, auxiliary parts, and connection relationships; determine the modal output results of the modal simulation model by adjusting the tailgate state of the initial tailgate structure; fit the modal output results to obtain the modal dispersion range of the initial tailgate structure; and determine the stiffness deviation range of the tailgate boundary fittings based on the modal dispersion range.

[0148] In some embodiments, the construction module 5432 is further configured to determine the mapping relationship between the modal values ​​of the initial tailgate structure and the boundary stiffness of the tailgate boundary fittings based on the stiffness deviation range; and to construct a modal analysis model for analyzing modal performance based on the mapping relationship.

[0149] In some embodiments, the optimization module 5433 is further configured to determine the optimization sub-parameters of the initial tailgate structure during at least one round of tailgate structure optimization, based on the modal analysis model and at least one attribute performance analysis model, under the constraints of a preset modal target value and at least one attribute performance target value; and to determine the sum of the optimization sub-parameters during at least one round of tailgate structure optimization as the optimization parameters of the initial tailgate structure.

[0150] In some embodiments, the optimization module 5433 is further configured to obtain the optimization sub-parameters during the (N-1)th round of tailgate structure optimization, and optimize the tailgate structure during the (N-1)th round of tailgate structure optimization based on the optimization sub-parameters to obtain the tailgate structure after the (N-1)th round of tailgate structure optimization; wherein, N is an integer greater than 1; based on the modal analysis model and at least one attribute performance analysis model, determine the modal value and at least one attribute performance value of the tailgate structure after the (N-1)th round of tailgate structure optimization; in response to the modal value being greater than a preset modal target value, and / or, at least one attribute performance value not satisfying the constraint condition with at least one attribute performance target value, determine the optimization sub-parameters during the Nth round of tailgate structure optimization; in response to the modal value being less than or equal to the preset modal target value, and at least one attribute performance value satisfying the constraint condition with at least one attribute performance target value, stop determining the optimization sub-parameters.

[0151] In some embodiments, the optimization module 5433 is further configured to obtain the current size parameters, current thickness parameters, and stiffener distribution parameters of the tailgate structure after the (N-1)th round of tailgate structure optimization; based on the current size parameters, current thickness parameters, and stiffener distribution parameters, determine the structural size adjustment parameters, structural thickness adjustment parameters, and stiffener distribution adjustment parameters for the Nth round of tailgate structure optimization; and determine the structural size adjustment parameters, structural thickness adjustment parameters, and stiffener distribution adjustment parameters as optimization sub-parameters for the Nth round of tailgate structure optimization.

[0152] In some embodiments, the optimization module 5433 is further configured to: determine the current weight of the tailgate structure after optimization in the (N-1)th round if the modal value is less than or equal to a preset modal target value and at least one attribute performance value satisfies the constraint condition with respect to at least one attribute performance target value; reduce the current weight according to a preset weight reduction parameter to obtain the tailgate structure after optimization in the Nth round; and determine the optimization sub-parameters during the optimization of the tailgate structure in the (N-1)th round as the optimization sub-parameters during the last round of tailgate structure optimization, and stop determining the optimization sub-parameters, in response to the modal value of the tailgate structure after optimization in the Nth round being greater than the preset modal target value, or the constraint condition not being satisfied between any attribute performance value of the tailgate structure after optimization in the Nth round and the corresponding attribute performance target value.

[0153] This application provides a computer program product, which includes a computer program or computer-executable instructions stored in a computer-readable storage medium. The processor of an electronic device reads the computer-executable instructions from the computer-readable storage medium and executes the computer-executable instructions, causing the electronic device to perform the tailgate structure design method described above in this application.

[0154] This application provides a computer-readable storage medium storing computer-executable instructions or a computer program. When the computer-executable instructions or the computer program are executed by a processor, the processor will perform the method provided in this application embodiment, for example, such as... Figure 3 The design method of the tailgate structure is shown.

[0155] In some embodiments, the computer-readable storage medium may be a memory such as RAM, ROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or it may be a variety of devices including one or any combination of the above-mentioned memories.

[0156] In some embodiments, computer-executable instructions may take the form of programs, software, software modules, scripts, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as stand-alone programs or as modules, components, subroutines, or other units suitable for use in a computing environment.

[0157] As an example, computer-executable instructions may, but do not necessarily, correspond to files in a file system. They may be stored as part of a file that holds other programs or data, for example, in one or more scripts in a Hyper Text Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple co-located files (e.g., files that store one or more modules, subroutines, or code sections).

[0158] As an example, computer-executable instructions can be deployed to execute on a single electronic device, or on multiple electronic devices located at one location, or on multiple electronic devices distributed across multiple locations and interconnected via a communication network.

[0159] In summary, through the embodiments of this application, an initial tailgate structure and a preset tailgate performance optimization target can be obtained. Then, a performance analysis model of the initial tailgate structure is constructed. Subsequently, using preset modal target values ​​and at least one attribute performance target value as constraints, optimization parameters for the initial tailgate structure are determined based on the modal analysis model and at least one attribute performance analysis model. This allows the tailgate structure to continuously optimize towards the target direction defined by the constraints. Finally, the optimization parameters are used to perform structural optimization on the initial tailgate structure, resulting in an optimized tailgate structure. By optimizing the initial tailgate structure using preset modal target values ​​and the constructed performance analysis model, a low-modal tailgate can be obtained, thereby reducing road noise and ear-sound in the vehicle. The stiffness deviation range of the tailgate boundary components can be calculated, allowing the influence of tailgate boundary components on the tailgate modality to be considered during the tailgate design stage, reducing the risk that the tailgate modality in the actual vehicle stage will exceed the target modality in the design stage. The performance to be analyzed in the initial tailgate structure can be determined. Then, based on key components, auxiliary parts, and connection relationships, a performance analysis model corresponding to each performance characteristic is constructed. Specialized model construction and analysis are performed for different performance indicators to obtain more accurate performance evaluation results for the tailgate structure. Based on the optimization results of round N-1, the optimization sub-parameters for round N can be determined, allowing the optimization process of the tailgate structure in round N to address the problems and shortcomings of the previous round, achieving a gradual improvement in various performance aspects of the tailgate structure. Under the condition that all performance aspects of the tailgate structure are qualified, the tailgate mass is minimized, reducing the tailgate weight and thus lowering the tailgate cost. The direction and objectives of tailgate structure optimization can be clarified through modal target values ​​and attribute performance target values, and various performance aspects of the tailgate structure can be gradually improved through iterative optimization. Finally, the direction and objectives of tailgate structure optimization can be clarified through modal target values ​​and attribute performance target values, and the performance aspects of the tailgate structure can be improved by integrating the optimization results of each round through iterative optimization.

[0160] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, and improvements made within the spirit and scope of this application are included within the scope of protection of this application.

Claims

1. A design method for a tailgate structure, characterized in that, The method includes: Obtain the initial tailgate structure and preset tailgate performance optimization targets; Construct a performance analysis model for the initial tailgate structure; the performance analysis model includes at least a modal analysis model and at least one attribute performance analysis model; the tailgate performance optimization objective includes at least a preset modal objective value and at least one attribute performance objective value. Using the preset modal target value and the at least one attribute performance target value as constraints, the optimization parameters of the initial tailgate structure are determined based on the modal analysis model and the at least one attribute performance analysis model. The initial tailgate structure is optimized using the aforementioned optimization parameters to obtain the optimized tailgate structure.

2. The method according to claim 1, characterized in that, The performance analysis model for constructing the initial tailgate structure includes: Determine the performance to be analyzed of the initial tailgate structure, wherein the performance to be analyzed includes modal performance and at least one attribute performance; Obtain the key components and auxiliary parts in the initial tailgate structure, as well as the connection relationship between the key components and the auxiliary parts; Based on the key components, the auxiliary parts, and the connection relationships, a modal analysis model for analyzing the modal performance and an attribute performance analysis model for analyzing each of the attribute performances are constructed.

3. The method according to claim 2, characterized in that, The modal analysis model for analyzing modal performance, based on the key components, auxiliary parts, and connection relationships, includes: Based on the key components, the auxiliary parts, and the connection relationships, the stiffness deviation range of the tailgate boundary fittings of the initial tailgate structure is determined; Based on the stiffness deviation range, a modal analysis model is constructed for analyzing the modal performance.

4. The method according to claim 3, characterized in that, The determination of the stiffness deviation range of the tailgate boundary fittings of the initial tailgate structure based on the key components, auxiliary parts, and connection relationships includes: Based on the key components, auxiliary parts, and connection relationships, a modal simulation model is constructed. By adjusting the tailgate state of the initial tailgate structure, the modal output results of the modal simulation model are determined; The modal output results are fitted to obtain the modal dispersion range of the initial tailgate structure; The stiffness deviation range of the tailgate boundary fittings is determined based on the modal dispersion range.

5. The method according to claim 4, characterized in that, The modal analysis model for analyzing the modal performance, based on the stiffness deviation range, includes: Based on the stiffness deviation range, the mapping relationship between the modal values ​​of the initial tailgate structure and the boundary stiffness of the tailgate boundary components is determined; Based on the mapping relationship, a modal analysis model is constructed for analyzing the modal performance.

6. The method according to any one of claims 1 to 5, characterized in that, The step of determining the optimization parameters of the initial tailgate structure based on the modal analysis model and the at least one attribute performance analysis model, constrained by the preset modal target value and the at least one attribute performance target value, includes: Using the preset modal target value and the at least one attribute performance target value as constraints, and based on the modal analysis model and the at least one attribute performance analysis model, determine the optimization sub-parameters of the initial tailgate structure during at least one round of tailgate structure optimization; The sum of the optimization sub-parameters during the at least one round of tailgate structure optimization is determined as the optimization parameters of the initial tailgate structure.

7. The method according to claim 6, characterized in that, The step of determining the optimization sub-parameters of the initial tailgate structure during at least one round of tailgate structure optimization, based on the modal analysis model and the at least one attribute performance analysis model, under the constraints of the preset modal target value and the at least one attribute performance target value, includes: Obtain the optimization sub-parameters for the (N-1)th round of tailgate structure optimization, and optimize the tailgate structure for the (N-1)th round of tailgate structure optimization based on the optimization sub-parameters to obtain the tailgate structure after the (N-1)th round of tailgate structure optimization; where N is an integer greater than 1; Based on the modal analysis model and the at least one attribute performance analysis model, determine the modal value and at least one attribute performance value of the optimized tailgate structure for the (N-1)th round. In response to the modal value being greater than the preset modal target value, and / or the at least one attribute performance value not satisfying the constraint condition with the at least one attribute performance target value, the optimization sub-parameters for the Nth round of tailgate structure optimization are determined; In response to the modal value being less than or equal to the preset modal target value, and the constraint condition being satisfied between the at least one attribute performance value and the at least one attribute performance target value, the determination of the optimization sub-parameter is stopped.

8. The method according to claim 7, characterized in that, The optimization sub-parameters for determining the Nth round of tailgate structure optimization include: Obtain the current size parameters, current thickness parameters, and reinforcing rib distribution parameters of the optimized tailgate structure for the (N-1)th round. Based on the current size parameters, the current thickness parameters, and the stiffener distribution parameters, determine the structural size adjustment parameters, structural thickness adjustment parameters, and stiffener distribution adjustment parameters for the Nth round of tailgate structural optimization. The structural dimension adjustment parameters, the structural thickness adjustment parameters, and the stiffener distribution adjustment parameters are determined as the optimization sub-parameters for the Nth round of tailgate structural optimization.

9. The method according to claim 7, characterized in that, The step of stopping the determination of the optimization sub-parameter in response to the modal value being less than or equal to the preset modal target value, and the constraint condition being satisfied between the at least one attribute performance value and the at least one attribute performance target value, includes: In response to the modal value being less than or equal to the preset modal target value, and the constraint condition being satisfied between the at least one attribute performance value and the at least one attribute performance target value, the current weight of the tailgate structure after the tailgate structure optimization for the N-1th round is determined; The current weight is reduced according to the preset weight reduction parameters to obtain the tailgate structure after the Nth round of tailgate structure optimization; In response to the fact that the modal value of the tailgate structure after the Nth round of tailgate structure optimization is greater than the preset modal target value, or that any attribute performance value of the tailgate structure after the Nth round of tailgate structure optimization does not satisfy the constraint condition with the corresponding attribute performance target value, the optimization sub-parameters in the (N-1)th round of tailgate structure optimization are determined as the optimization sub-parameters in the last round of tailgate structure optimization, and the determination of the optimization sub-parameters is stopped.

10. A design device for a tailgate structure, characterized in that, The device includes: The acquisition module is used to acquire the initial tailgate structure and the preset tailgate performance optimization target; A construction module is used to construct a performance analysis model for the initial tailgate structure; the performance analysis model includes at least a modal analysis model and at least one attribute performance analysis model; the tailgate performance optimization objective includes at least a preset modal target value and at least one attribute performance target value. An optimization module is used to determine the optimization parameters of the initial tailgate structure based on the modal analysis model and the at least one attribute performance analysis model, using the preset modal target value and the at least one attribute performance target value as constraints; and to perform structural optimization on the initial tailgate structure using the optimization parameters to obtain the optimized tailgate structure.

11. An electronic device, characterized in that, The electronic device includes: Memory is used to store executable instructions for a computer; A processor, when executing computer-executable instructions or computer programs stored in the memory, implements the design method of the tailgate structure according to any one of claims 1 to 9.

12. A computer-readable storage medium storing computer-executable instructions or a computer program, characterized in that, When the computer-executable instructions or computer program are executed by a processor, the design method of the tailgate structure according to any one of claims 1 to 9 is implemented.

13. A computer program product comprising computer-executable instructions or a computer program, characterized in that, When the computer-executable instructions or computer program are executed by a processor, the design method of the tailgate structure according to any one of claims 1 to 9 is implemented.

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