Pickup truck container tail door fatigue life prediction method and device, electronic equipment and medium

Abstract

The invention relates to the technical field of simulation prediction, and discloses a method and device for predicting the fatigue life of a tail door of a pickup truck container, electronic equipment and a medium. According to the technical scheme, rotation impact simulation can be carried out by adopting the established simulation model based on the calculated initial angular velocity, the simulation result meeting the preset condition is screened out, the corresponding stress-strain information is obtained for fatigue life prediction, and the fatigue life prediction value is obtained. Fatigue life prediction of the pickup truck container tail door is realized, prediction verification by using a real truck is avoided, and verification time and cost are greatly saved. Meanwhile, the opening and closing durability of the cargo tank tail door is simulated by applying a simulation technology, the opening and closing durability life of the cargo tank tail door can be obtained in advance in the structural design stage, effective theoretical data support is provided for design of the cargo tank tail door, the failure problem is avoided, and the verification period and cost of a later real vehicle experiment are reduced.

Description

Technical Field

[0001] The present application relates to the technical field of simulation prediction, and in particular to a method, device, electronic equipment and medium for predicting fatigue life of a tailgate of a pickup truck cargo box. Background Art

[0002] With the diversification of modern life needs and the development of automobile technology, pickup trucks are becoming more and more widely used, and the cargo box structure is crucial in pickup truck models.

[0003] During the use of the cargo box, the tailgate is often opened and closed. As the frequency of use increases, failure problems such as cracking and deformation will occur. Therefore, in the process of project development, in order to verify whether it can meet the use requirements during its life cycle, physical tests of the tailgate opening and closing durability will be carried out, but actual vehicle tests not only waste cycles but also bring greater cost requirements. Summary of the invention

[0004] In view of the above problems, the present application provides a method, device, electronic device and medium for predicting the fatigue life of the tailgate of a pickup truck cargo box, which are used to solve the technical problems of wasting time and cost in actual vehicle verification in the prior art. Based on the calculated initial angular velocity, a rotational impact simulation is performed using an established simulation model, and the simulation results that meet the preset conditions are screened out, and the corresponding stress-strain information is obtained for fatigue life prediction, and the fatigue life prediction value is obtained, thereby realizing the fatigue life prediction of the tailgate of the pickup truck cargo box, avoiding the use of an actual vehicle for prediction verification, and greatly saving verification time and cost.

[0005] According to one aspect of an embodiment of the present application, a method for predicting fatigue life of a pickup truck tailgate is provided, the method comprising: establishing a simulation model of the pickup truck tailgate according to preset model data; wherein the preset model data is the model data of the pickup truck tailgate imported by a user; calculating the initial angular velocity of the pickup truck tailgate for rotational impact according to a preset opening angle and a preset linear velocity; wherein the preset opening angle is the opening angle of the pickup truck tailgate input by the user; based on the initial angular velocity, performing rotational impact simulation of the pickup truck tailgate using the simulation model to obtain simulation results; filtering out the simulation results that meet the preset conditions as target simulation results, and obtaining stress-strain information corresponding to the target simulation results; predicting the fatigue life of the pickup truck tailgate according to the stress-strain information to obtain a predicted value of the fatigue life of the pickup truck tailgate.

[0006] In an optional manner, the preset model data includes multiple components and the connection methods between each of the components; the components include non-active power components and active power components; the step of establishing a simulation model of the pickup truck cargo box tailgate according to the preset model data further includes: establishing a sub-model corresponding to the component in the preset simulation software, and setting the material properties of the sub-model according to the different component types corresponding to the sub-model; wherein the material properties include true material properties and false material properties, and the false material properties are used as the starting material properties of each of the sub-models; setting a material property switching switch; wherein the material property switching switch is a switch for switching the material properties of each of the sub-models; according to the connection methods between the components, connecting each of the sub-models to obtain an initial model; constructing a simulation model of the pickup truck cargo box tailgate according to the initial model, the material property switching switch and the material properties of each of the sub-models.

[0007] In an optional manner, the component includes one or more connected mechanisms; the step of establishing a sub-model corresponding to the component in the preset simulation software further includes: dividing the mechanism of the component into necessary mechanisms and simplified mechanisms according to whether there is a force acting on the tailgate of the pickup truck when undergoing a rotational impact; wherein the necessary mechanism is a mechanism with a force acting on it, and the simplified mechanism is a mechanism with no force acting on it; screening out the simplified mechanisms in the component to obtain a target component, and establishing a corresponding sub-model based on the target component.

[0008] In an optional manner, the step of calculating the initial angular velocity of the pickup truck cargo box tailgate for rotational impact according to a preset opening angle and a preset linear velocity further includes: calculating the initial linear velocity of the pickup truck cargo box tailgate for rotational impact according to the preset opening angle, the preset linear velocity, gravity and the turning radius; wherein the preset linear velocity is the linear velocity of the outer edge of the pickup truck cargo box tailgate at the closing moment; the turning radius is the distance between the center of mass of the pickup truck cargo box tailgate and the turning axis of the pickup truck cargo box tailgate; and calculating the initial angular velocity of the pickup truck cargo box tailgate according to the initial linear velocity and the turning radius.

[0009] In an optional manner, the sub-model includes a non-active power component sub-model and an active power component sub-model; the true material properties and false material properties of the non-active power component sub-model are both rigid; the true material property of the active power component sub-model is flexible, and the false material property of the active power component is rigid; the step of using the simulation model to perform a pickup truck cargo box tailgate rotation impact simulation based on the initial angular velocity to obtain a simulation result further includes: based on the initial angular velocity, using the simulation model to perform a pickup truck cargo box tailgate impact simulation to obtain a motion trajectory of the pickup truck cargo box tailgate impact simulation; wherein the material properties of each sub-model in the simulation model are false material properties; triggering a material property switching switch to switch the material properties of the sub-model from false material properties to true material properties to obtain a switched simulation model; based on the initial angular velocity, using the switched simulation model to perform a pickup truck cargo box tailgate impact simulation to obtain an energy curve of the pickup truck cargo box tailgate impact simulation; obtaining the simulation result according to the motion trajectory and the energy curve.

[0010] In an optional manner, the sub-model includes a lock tongue sub-model and a lock ring sub-model; the simulation result also includes a locking state; the locking state is determined according to the current position between the lock tongue sub-model and the lock ring sub-model; the method also includes: detecting whether the locking state is a locked state, detecting whether the trajectory curve of the motion trajectory fits the preset trajectory curve, and detecting whether the distribution of the energy curve meets the preset distribution conditions; if all are yes, the simulation result meets the preset conditions; if any is no, the simulation result does not meet the preset conditions.

[0011] In an optional manner, the energy curve includes a total energy curve, a kinetic energy curve, an internal energy curve and an hourglass energy curve; the step of detecting whether the distribution of the energy curve meets the preset distribution conditions further includes: according to the internal energy curve, detecting whether the values ​​corresponding to each internal energy are all positive; if so, obtaining the maximum internal energy value corresponding to the peak value of the internal energy curve, and calculating the target value based on the maximum internal energy value; obtaining the maximum hourglass energy value corresponding to the peak value of the hourglass energy curve, and detecting whether the maximum hourglass energy value is less than the target value; if so, detecting whether the value fluctuation range of the total energy curve is within a preset range; if so, detecting whether the distribution of the energy curve meets the preset distribution.

[0012] According to another aspect of an embodiment of the present application, a device for predicting fatigue life of a pickup truck's cargo box tailgate is provided, comprising: a simulation modeling module, for establishing a simulation model of the pickup truck's cargo box tailgate according to preset model data; wherein the preset model data is the model data of the pickup truck's cargo box tailgate imported by a user; an angular velocity calculation module, for calculating the initial angular velocity of the pickup truck's cargo box tailgate for rotational impact according to a preset opening angle and a preset linear velocity; wherein the preset opening angle is the opening angle of the pickup truck's cargo box tailgate input by a user; a simulation module, for performing a rotational impact simulation of the pickup truck's cargo box tailgate using the simulation model based on the initial angular velocity to obtain a simulation result; a simulation screening module, for screening out the simulation results that meet preset conditions as target simulation results, and obtaining stress-strain information corresponding to the target simulation results; a fatigue prediction module, for predicting the fatigue life of the pickup truck's cargo box tailgate according to the stress-strain information to obtain a fatigue life prediction value of the pickup truck's cargo box tailgate.

[0013] According to another aspect of an embodiment of the present application, an electronic device is provided, comprising: a controller; and a memory for storing one or more programs, wherein when the one or more programs are executed by the controller, the controller implements the method for predicting fatigue life of a tailgate of a pickup truck cargo box as described in any one of the above claims.

[0014] According to another aspect of an embodiment of the present application, a computer-readable storage medium is provided, wherein at least one executable instruction is stored in the storage medium, and when the executable instruction is executed on a device / electronic device, the device / electronic device executes the operation of the pickup truck cargo box tailgate fatigue life prediction method as described in any one of the above claims.

[0015] The embodiment of the present application uses the established simulation model to perform rotational impact simulation based on the calculated initial angular velocity, and screens out the simulation results that meet the preset conditions, obtains the corresponding stress-strain information for fatigue life prediction, and obtains the fatigue life prediction value, thereby realizing the fatigue life prediction of the pickup truck cargo box tailgate, avoiding the use of real vehicles for prediction verification, and greatly saving the time and cost of verification. At the same time, by applying simulation technology to simulate the durability of the cargo box tailgate opening and closing, the durability of the cargo box tailgate opening and closing can be obtained in advance during the structural design stage, providing effective theoretical data support for the cargo box tailgate design, avoiding failure problems, and reducing the later real vehicle experimental verification cycle and cost.

[0016] The above description is only an overview of the technical solution of the embodiment of the present application. In order to more clearly understand the technical means of the embodiment of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the embodiment of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present application. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings. In the accompanying drawings:

[0018] Figure 1 A schematic flow chart of an embodiment of a method for predicting fatigue life of a pickup truck cargo box tailgate provided in the present application is shown;

[0019] Figure 2 A schematic flow chart showing another embodiment of a method for predicting fatigue life of a pickup truck cargo box tailgate provided in the present application;

[0020] Figure 3 A schematic flow chart showing another embodiment of a method for predicting fatigue life of a pickup truck cargo box tailgate provided in the present application;

[0021] Figure 4 A simplified structural diagram showing a comparison of the mechanism of a lock component in one embodiment is shown;

[0022] Figure 5 A schematic flow chart showing another embodiment of a method for predicting fatigue life of a pickup truck cargo box tailgate provided in the present application;

[0023] Figure 6 A schematic flow chart showing another embodiment of a method for predicting fatigue life of a pickup truck cargo box tailgate provided in the present application;

[0024] Figure 7 A schematic flow chart showing another embodiment of a method for predicting fatigue life of a pickup truck cargo box tailgate provided in the present application;

[0025] Figure 8 shows a distribution diagram of an energy curve in one embodiment;

[0026] Fig. 9 A schematic flow chart showing another embodiment of a method for predicting fatigue life of a pickup truck cargo box tailgate provided in the present application;

[0027] Fig.10 A schematic structural diagram of an embodiment of a pickup truck cargo box tailgate fatigue life prediction device provided by the present application is shown;

[0028] Fig.11 A schematic structural diagram of an embodiment of an electronic device provided by the present application is shown. DETAILED DESCRIPTION

[0029] Here, exemplary embodiments will be described in detail, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are only examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims.

[0030] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0031] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0032] The term "multiple" as used in this application refers to two or more than two. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the related objects are in an "or" relationship.

[0033] With the diversification of modern life needs and the development of automobile technology, pickup trucks are increasingly widely used, and the cargo box structure is crucial in pickup trucks. During the use of the cargo box, the tailgate is often opened and closed. As the frequency of use increases, cracking, deformation and other failure problems will occur. Therefore, in order to verify whether it can meet the use requirements during its life cycle, physical tests on the tailgate opening and closing durability are carried out during the project development process, but actual vehicle tests not only waste cycles but also bring greater cost requirements.

[0034] Therefore, it is necessary to provide a method, device, equipment and storage medium for predicting the fatigue life of a pickup truck tailgate, and use simulation to predict the opening and closing durability of the tailgate (i.e., fatigue life prediction). By applying simulation technology to simulate the opening and closing durability of the tailgate, the opening and closing durability of the tailgate can be obtained in advance during the structural design stage, providing effective theoretical data support for the design of the tailgate, avoiding failure problems, and reducing the later actual vehicle test verification cycle and cost. In order to further illustrate this solution, the following embodiments are used to describe this solution in detail.

[0035] Figure 1A flowchart of an embodiment of the method for predicting fatigue life of a pickup truck cargo box tailgate of the present invention is shown, and the method is executed by a computer device. Figure 1 As shown, the method comprises the following steps:

[0036] Step S110: Establishing a simulation model of the pickup truck cargo box tailgate according to preset model data.

[0037] Among them, the preset model data is the model data of the pickup truck cargo box tailgate imported by the user.

[0038] Specifically, the 3D model of the pickup truck cargo box tailgate is imported into the Hypermesh LsDyna module, and the finite element mesh is established to generate the cargo box tailgate SLAM analysis dynamic model. The cargo box tailgate analysis model includes the cargo box tailgate assembly model and the cargo box local model. The tailgate assembly includes the white door, the door cover, etc. The pre-processing software uses the Hypermesh LsDyna module. The model sheet metal parts are simulated using shell elements with a size of 8mm. The welding points are of mat100 (hexa) type, and the glue is created in the form of upper and lower common nodes. Hypermesh is a high-performance finite element pre-processing software developed by Altair, which is widely used in engineering analysis and simulation. LsDyna is a powerful nonlinear finite element analysis software suitable for the simulation of dynamic and transient events. The LsDyna module of Hypermesh is the product of the combination of the two, providing an integrated environment for model construction, meshing and result analysis.

[0039] Step S120: Calculate the initial angular velocity of the pickup truck cargo box tailgate for rotational impact according to the preset opening angle and the preset linear velocity.

[0040] The preset opening angle is the opening angle of the pickup truck cargo box tailgate input by the user. The preset linear speed is the linear speed of the outermost edge of the door at the moment of closing required by the test, and is generally set to 1.5 m / s.

[0041] Specifically, in the process of calculating the initial angular velocity of the cargo box tailgate's rotational impact at a preset opening angle, the initial angular velocity of the cargo box tailgate is calculated based on the law of conservation of energy and the final cargo box tailgate linear velocity. By inputting the "preset opening angle", the applied initial force can be effectively derived without the need for additional user input. This method not only simplifies user operations, but also provides accurate force and stress analysis through physical models and dynamic simulations, thereby optimizing the cargo box tailgate design and evaluating its service life.

[0042] Step S130: Based on the initial angular velocity, a simulation model is used to perform a rotation impact simulation of the tailgate of the pickup truck to obtain a simulation result.

[0043] Specifically, the initial angular velocity is the initial angular velocity corresponding to the initial force applied to the pickup truck cargo box tailgate during the rotation impact simulation. The cargo box tailgate closing impact analysis is performed to obtain the corresponding simulation results.

[0044] Step S140: Filter out simulation results that meet preset conditions as target simulation results, and obtain stress-strain information corresponding to the target simulation results.

[0045] Among them, the preset conditions include whether the lock tongue is stuck during the rotational impact simulation, whether the movement process conforms to the normal actual door closing process, and whether the energy distribution is reasonable and correct.

[0046] Specifically, in the process of obtaining the stress-strain level during the closing process of the cargo box tailgate, it is necessary to determine whether the closing process is reasonable. The selected target simulation results are simulation results with reasonable simulation processes.

[0047] Step S150: predicting the fatigue life of the pickup truck cargo box tailgate according to the stress-strain information to obtain a predicted value of the fatigue life of the pickup truck cargo box tailgate.

[0048] Specifically, in the process of conducting a durability analysis of the cargo box tailgate and judging whether the durability of the cargo box tailgate meets expectations, the correct stress analysis results obtained need to be imported into the Ncode software to conduct sheet metal fatigue durability analysis. Ncode is an engineering analysis and data processing software developed by HBM Prenscia, mainly used in fatigue analysis, vibration analysis and signal processing. It is widely used in the automotive, aerospace, machinery manufacturing and other industries to help engineers evaluate and optimize the reliability and durability of products during the design phase.

[0049] Beneficial effect: Based on the calculated initial angular velocity, the established simulation model is used to perform rotational impact simulation, and the simulation results that meet the preset conditions are screened out. The corresponding stress-strain information is obtained for fatigue life prediction, and the fatigue life prediction value is obtained. This realizes the fatigue life prediction of the pickup truck tailgate, avoids the use of real vehicles for prediction verification, and greatly saves verification time and cost.

[0050] At the same time, by applying simulation technology to simulate the opening and closing durability of the cargo box tailgate, the opening and closing durability life of the cargo box tailgate can be obtained in advance during the structural design stage, providing effective theoretical data support for the cargo box tailgate design, avoiding failure problems, and reducing the subsequent actual vehicle experimental verification cycle and cost.

[0051] In some embodiments, Figure 2 As shown, the preset model data includes multiple components and connection modes between the components; the components include non-active power components and active power components; step S110 further includes:

[0052] Step S111: creating a sub-model corresponding to the component in the preset simulation software, and setting the material properties of the sub-model according to the different component types corresponding to the sub-model.

[0053] Among them, material properties include true material properties and pseudo material properties, and pseudo material properties are used as the starting material properties of each sub-model. Setting material properties as rigid, elastic or flexible is an important concept in engineering design, material science and mechanics, and is usually used to describe the behavior characteristics of materials when subjected to force. Rigid materials hardly deform when external forces are applied. Their shape and volume remain unchanged under normal operating conditions. Rigid materials do not deform by default during simulation analysis. Flexible materials can deform more under small external forces, but may partially or completely recover their shape once the external forces are removed. The analysis of flexible materials is usually more complex and needs to consider nonlinear behavior and plastic deformation. Computational methods such as finite element analysis (FEA) can be used to simulate their deformation and stress distribution.

[0054] Specifically, in the simulation software, a sub-model corresponding to each component is established, and a finite element mesh is established. Material properties need to be set during modeling. Setting them to rigidity is for better analysis of motion trajectories, while setting them to flexibility allows for more accurate calculation of stress and stress relationships. The simulation software may be a common simulation software.

[0055] Step S112: Setting the material property switching switch.

[0056] Among them, the material property switching switch is a switch for switching the material properties of each sub-model.

[0057] Specifically, a material property switching switch is set during modeling. Before the switching switch is triggered, the initial material properties of each sub-model default to false material properties so that the motion trajectory can be quickly analyzed; and when the material property switching switch is triggered, the material properties of each sub-model are switched from false material properties to true material properties so that stress and stress relationship can be analyzed more accurately.

[0058] Step S113: Connect the sub-models according to the connection mode between the components to obtain an initial model.

[0059] Specifically, according to the connection mode between components, the connection mode between each sub-model is set, so as to obtain an initial model including components and component connection relationships.

[0060] Step S114: construct a simulation model of the pickup truck cargo box tailgate according to the initial model, the material property switching switch, and the material properties of each sub-model.

[0061] Specifically, a simulation model of the pickup truck tailgate is finally constructed based on the initial model and the set material property switching switch, as well as the true and false material properties of each sub-model in the corresponding initial model.

[0062] Beneficial effect: By building a simulation model of the pickup truck tailgate according to the preset model data, the material properties of each sub-model are defined during the modeling process, and a material property switching switch is set, and finally a simulation model capable of switching material properties is obtained. By switching between true and false material properties of the sub-models in the simulation model, a faster and more comprehensive simulation analysis of the pickup truck tailgate is achieved.

[0063] In some embodiments, Figure 3 As shown, the component includes one or more connected mechanisms; the step of establishing a sub-model corresponding to the component in the preset simulation software in step S111 further includes:

[0064] Step S210: According to whether there is a force acting on the pickup truck's tailgate during rotational impact, the mechanism of the component is divided into a necessary mechanism and a simplified mechanism.

[0065] Among them, the necessary mechanism is a mechanism with an applied force, and the simplified mechanism is a mechanism without an applied force.

[0066] Specifically, for example Figure 4 As shown in the figure, the lock component includes a lock body, a lock tongue, a lock ring, a connecting rod, a spring, a positioning pin and other mechanisms. Based on whether there is an applied force during the rotation impact of the pickup truck tailgate, the lock body, lock tongue and lock ring in the lock component are all necessary mechanisms with applied force, while other mechanisms such as connecting rods, springs, and positioning pins are simplified mechanisms without applied force. Since the purpose of this simulation is to predict fatigue life, the spring in the lock mechanism is only used to stretch the lock tongue, which can be simplified.

[0067] Step S220: Screen out the simplifiable structures in the components to obtain the target components, and establish the corresponding sub-model according to the target components.

[0068] Specifically, for example Figure 4 As shown, Figure 4 a is a lock component that simplifies the previous structure, and Figure 4 b is the simplified structure of the lock component. After simplifying the lock mechanism (lock component), the lock mechanism (lock component) and hinge (the connection method between components) are modeled. In the process of creating the model contact pair, the lock mechanism (lock component) is specifically simplified to retain the lock body, lock tongue, and lock ring. Different contact pairs need to be set for the SLAM analysis of the cargo box tailgate, as shown in Table 1, and the same group of contact pairs can only be set once.

[0069] Table 1

[0070]

[0071] Beneficial effect: If the model is mainly used for prediction, it may not be necessary to capture all the details. This embodiment can reduce unnecessary modeling details by simplifying the mechanisms in each component and modeling based on the simplified components, thereby greatly saving the time cost of modeling and greatly improving the modeling efficiency while ensuring the effectiveness of the model.

[0072] In some embodiments, Figure 5 As shown, step S120 further includes:

[0073] Step S121: Calculate the initial linear velocity of the pickup truck cargo box tailgate for rotational impact according to the preset opening angle, preset linear velocity, gravity and rotation radius.

[0074] Among them, the preset linear speed is the linear speed of the outer edge of the pickup truck cargo box tailgate at the closing moment; the turning radius is the distance between the center of mass of the pickup truck cargo box tailgate and the rotation axis of the pickup truck cargo box tailgate.

[0075] Specifically, according to the law of conservation of energy and the final linear velocity of the cargo box tailgate, the initial angular velocity of the cargo box tailgate is calculated.

[0076]

[0077] Among them, m is the mass of the cargo box tailgate; h1 and h2 are the centroid heights of the cargo box tailgate in the open and closed states respectively; v1 and v2 are the linear velocities of the cargo box tailgate in the open and closed states respectively;

[0078] Since h1=cosθ·r, h2=r,

[0079] Where θ is the opening angle of the cargo door; v2 is the preset linear velocity; v1 is the initial linear velocity to be calculated; r is the radius of gyration, that is, the distance between the center of mass of the cargo door and the axis of rotation; substituting h1=cosθ·r and h2=r into the above formula, the following formula can be obtained after simplification:

[0080]

[0081] Since the preset linear velocity v2=1.5 m / s is known, by substituting it into the above formula, the value of the initial linear velocity v1 can be calculated.

[0082] Step S122: Calculate the initial angular velocity of the pickup truck cargo box tailgate according to the initial linear velocity and the turning radius.

[0083] Specifically, according to w is the angular velocity, v is the linear velocity, and r is the radius (here it is the radius of gyration), that is Substitute the value of v1 obtained by the above calculation into the formula to obtain the angular velocity value w1 of the cargo door in the initial open state.

[0084] Beneficial effect: By inputting a preset opening angle and a preset linear speed, the initial force applied can be effectively derived without the need for additional user input. This method not only simplifies user operation, but also provides accurate force and stress analysis through physical models and dynamic simulations, thereby optimizing door design and evaluating service life.

[0085] In some embodiments, Figure 6 As shown, the sub-model includes a non-active power component sub-model and an active power component sub-model; the true material property and the false material property of the non-active power component sub-model are both rigid; the true material property of the active power component sub-model is flexible, and the false material property of the active power component is rigid; step S130 further includes:

[0086] Step S131: Based on the initial angular velocity, a simulation model is used to perform a pickup truck cargo box tailgate impact simulation to obtain a motion trajectory of the pickup truck cargo box tailgate impact simulation.

[0087] Among them, the material properties of each sub-model in the simulation model are pseudo material properties.

[0088] Specifically, when the material attribute of each sub-model is a pseudo material attribute, the material attribute of each sub-model is rigidity. By performing impact simulation based on the rigid simulation model, the motion trajectory of the pickup truck cargo box tailgate impact simulation can be quickly obtained by simulation analysis.

[0089] Step S132: triggering the material property switching switch to switch the material properties of the sub-model from the false material properties to the true material properties, thereby obtaining a simulation model after switching.

[0090] Among them, by triggering the material property switching switch, the material property of the sub-model can be switched from the original material property to another material property, that is, switching between the false material property and the true material property.

[0091] Specifically, during simulation, the initial material properties of the sub-model are fake material properties. After the user triggers the material property switch, the material properties of the sub-model are switched from fake material properties to real material properties. The real material properties of some sub-models are flexible, while the real material properties of some sub-models are still rigid. The sub-models with real material properties are more in line with the original cargo box tailgate design.

[0092] Step S133: Based on the initial angular velocity, the switched simulation model is used to perform a pickup truck cargo box tailgate impact simulation to obtain an energy curve of the pickup truck cargo box tailgate impact simulation.

[0093] Specifically, based on the true material properties, the simulation model is used to simulate the impact again, and the resulting capacity curve (i.e., the corresponding extracted stress and stress relationship) is more accurate and fits the design of the cargo box tailgate.

[0094] Step S134: obtaining simulation results according to the motion trajectory and energy curve.

[0095] Specifically, based on the motion trajectory and energy curve, a complete simulation result can be obtained, including both the motion trajectory obtained by quick analysis based on the false material properties, and the energy curve obtained by accurate analysis based on the true material properties.

[0096] Beneficial effects: The combination of rigid body and flexible body can be effectively realized in the prediction of tailgate opening and closing life, reducing the number of models and time cost. By using the functions of modern simulation software, parametric modeling and multi-body dynamics technology, the model characteristics can be flexibly adjusted to ensure accurate analysis results in simulations at different stages. This method not only improves efficiency, but also optimizes the design and analysis process while ensuring accuracy.

[0097] In some embodiments, the sub-model includes a lock tongue sub-model and a lock ring sub-model; the simulation result also includes a locking state; the locking state is determined according to the current position between the lock tongue sub-model and the lock ring sub-model; Figure 7 As shown, the method also includes:

[0098] Step S310: Detect whether the locking state is the locked state, detect whether the trajectory curve of the motion trajectory matches the preset trajectory curve, and detect whether the distribution of the energy curve meets the preset distribution condition.

[0099] Among them, in the process of analyzing the closing impact of the cargo box tailgate and obtaining the stress and strain level during the closing process of the cargo box tailgate, it is necessary to judge whether the closing process is reasonable. In other words, it is necessary to judge whether the simulation results meet the preset conditions, that is, whether the closing process of the cargo box tailgate is reasonable.

[0100] Specifically, to judge whether the closing process is reasonable, after completing the impact analysis, first check whether the lock tongue is stuck during the tailgate closing process and whether the movement process conforms to the normal actual closing process; secondly, check the energy curve to ensure that the internal energy is positive, the hourglass energy is less than 10% of the maximum peak value of the internal energy, and the ratio of the total energy to the initial energy is close to 1.

[0101] Step S320: If both are yes, the simulation result meets the preset conditions.

[0102] Specifically, if the test results are all yes, it means that the motion and energy distribution are reasonable and correct, so the simulation results meet the preset conditions, and reasonable stress-strain information can be obtained during the closing process of the cargo box tailgate.

[0103] Step S330: If any of the above conditions is no, the simulation result does not meet the preset conditions.

[0104] Specifically, if any of the test results is negative, it means that the motion and energy distribution are unreasonable or incorrect, so the simulation result does not meet the preset conditions, that is, the reasonable stress and strain information in the closing process of the corresponding cargo box tailgate is also problematic and cannot be used. It should be noted that the steps S320 and S330 here are performed simultaneously, regardless of order, and are numbered here for distinction.

[0105] Beneficial effect: By detecting whether the locking state is in the locked state, detecting whether the trajectory curve of the motion trajectory fits the preset trajectory curve, and detecting whether the distribution of the energy curve meets the preset distribution conditions, it is verified whether the simulation results meet the preset conditions. While refining the method of verifying the simulation results, it also improves the accuracy of subsequent predictions based on the simulation results.

[0106] In some embodiments, Figure 8 As shown, Figure 8 It is an energy curve diagram obtained by simulation test based on the present application, wherein the energy curve includes a total energy curve (i.e., Total Energy-Energy in the figure), a kinetic energy curve (i.e., Kinetic Energy-Energy in the figure), an internal energy curve (i.e., Internal Energy-Energy in the figure) and an hourglass energy curve (i.e., Hourglass Energy-Energy in the figure); Fig. 9 As shown, the step of detecting whether the distribution of the energy curve meets the preset distribution condition in step S310 further includes:

[0107] Step S311: According to the internal energy curve, detect whether the values ​​corresponding to the internal energies are all positive.

[0108] Specifically, Figure 8 For example, first you need to detect Figure 8 Are the values ​​corresponding to the internal energy all positive, that is, are they all above the horizontal axis?

[0109] Step S312: If yes, then obtain the maximum internal energy value corresponding to the peak of the internal energy curve, and calculate the target value based on the maximum internal energy value.

[0110] Specifically, when the internal energy is positive, the maximum internal energy value corresponding to the peak value of the internal energy curve is obtained and multiplied by 10% to obtain the target value.

[0111] Step S313: obtaining the maximum hourglass energy value corresponding to the peak of the hourglass energy curve, and detecting whether the maximum hourglass energy value is less than the target value.

[0112] Specifically, the maximum hourglass energy value is obtained, and it is determined whether the maximum hourglass energy value is less than the target value, that is, whether it is less than 10% of the maximum peak value of the internal energy.

[0113] Step S314: If yes, then check whether the value fluctuation range of the total energy curve is within a preset range.

[0114] Specifically, the ratio of the total energy to the initial energy is detected to be close to 1, and the initial energy is the total energy at time 0. That is, the value fluctuation range corresponding to the total energy curve detected cannot exceed the preset range. If it exceeds, energy loss occurs, which indicates that the data is abnormal.

[0115] Step S315: If yes, then check whether the distribution of the energy curve meets the preset distribution.

[0116] Specifically, only when all the answers are yes can it be determined that the distribution of the capability curve conforms to the preset distribution.

[0117] Beneficial effect: The steps of determining whether the distribution of the energy curve conforms to the preset distribution are further refined, and the energy curve distribution is comprehensively and detailedly detected by combining the total energy curve, kinetic energy curve, internal energy curve and hourglass energy curve in the capacity curve, thereby improving the accuracy of energy curve distribution detection.

[0118] In some embodiments, step S150 further includes: calculating a stress-life curve and various constant-amplitude cyclic loads based on stress-strain information; cyclically calculating damage values ​​corresponding to various constant-amplitude cyclic loads based on the stress-life curve and a preset number of cycles, and detecting whether the damage value is greater than or equal to 1; if the damage value is detected to be greater than or equal to 1, determining the number of cycles corresponding to the current stress amplitude as the fatigue life prediction value of the pickup truck cargo box tailgate.

[0119] Among them, the linear fatigue cumulative damage theory means that the damage of the structure under different cyclic loads is linear. When multiple loads are applied, the fatigue damage is directly accumulated and independent of each other. The loads do not affect each other. When the damage accumulates to a certain value, the structure will fail due to fatigue. Constant amplitude cyclic load is defined in the linear fatigue cumulative damage theory, that is, multiple cycles of the same amplitude of load are applied.

[0120] Specifically, in the process of conducting a durability life analysis on the cargo box tailgate and judging whether the durability life of the cargo box tailgate meets expectations, the correct stress analysis results obtained need to be imported into the Ncode software to conduct sheet metal fatigue durability analysis. When conducting a durability analysis, input the SN fatigue life curve information (i.e., stress life curve) of all materials, submit the analysis and calculation, and output the fatigue life of the sheet metal. If the fatigue life of the sheet metal meets the expected design requirements, a report is compiled and filed; if the fatigue life of the sheet metal does not meet the requirements, an optimization plan needs to be completed and fed back to the product design, and the final plan is accepted and an analysis and optimization report is filed.

[0121] In some embodiments, an example of prediction using the method mentioned in the above embodiments is used. In this embodiment, a SLAM analysis model of the cargo box tailgate is created, in which the model sheet metal is simulated by shell elements, the size is 8mm, the welding point is of mat100 (hexa) type, and the gluing is created in the form of upper and lower common nodes. Different units are given corresponding attributes and material information in model creation. The model contains 195,000 units and 249,000 nodes. The boundary conditions for the transient closing analysis of the cargo box tailgate are: the cargo box interception section constrains 123 degrees of freedom, the cargo box door is rotated outward along the hinge axis by a certain angle, and the cargo box tailgate assembly is applied with a rotational angular velocity, the size of which corresponds to the linear velocity of 1.5m / s at the edge of the cargo box tailgate in the closed state. Material nonlinearity and geometric nonlinearity are considered. During the analysis, the door collides and locks in a very short time of 0.02S, and then the overall movement tends to be stable, and the movement is reasonable. Referring to the energy curve, the total energy of this analysis is basically unchanged, the kinetic energy decreases, and the internal energy increases, which is also reasonable. Thus, the transient impact analysis of the cargo box tailgate is completed, and the overall stress distribution of the cargo box tailgate is obtained. Then the stress result of a transient impact is cycled 50,000 times, and the fatigue damage value is calculated using the Miner fatigue cumulative damage theory to obtain the sheet metal fatigue damage value and life cycle. The results of the cargo box tailgate opening and closing durability analysis show that the maximum sheet metal damage value is 0.015, as shown below Figure 5 As shown, theoretically, the damage value is 1, which means that the component will fail due to fatigue, so the durability design requirements are met. And after the final actual vehicle test feedback, the sheet metal did not crack during the durability test of the cargo box tailgate opening and closing, verifying that the solution is effective.

[0122] Practicality description: By applying the simulation calculation method of the present invention, the problem of sheet metal cracking of the cargo box tailgate can be avoided in advance, and the fatigue life can be significantly improved. Therefore, the fatigue simulation analysis method of the cargo box tailgate is feasible and can be used for simulation prediction of the design structure, providing reference and basis for the design of the cargo box tailgate structure.

[0123] Fig.10 The schematic diagram of the structure of the embodiment of the fatigue life prediction device for the tailgate of a pickup truck of the present invention is shown. Fig.10 As shown, the device 400 includes: a simulation modeling module 410 , an angular velocity calculation module 420 , a simulation module 430 , a simulation screening module 440 and a fatigue prediction module 450 .

[0124] The simulation modeling module 410 is used to establish a simulation model of the pickup truck cargo box tailgate according to preset model data; wherein the preset model data is the model data of the pickup truck cargo box tailgate imported by the user;

[0125] The angular velocity calculation module 420 is used to calculate the initial angular velocity of the pickup truck cargo box tailgate for rotational impact according to a preset opening angle and a preset linear velocity; wherein the preset opening angle is the opening angle of the pickup truck cargo box tailgate input by the user;

[0126] A simulation module 430 is used to perform a rotation impact simulation of a pickup truck cargo box tailgate using a simulation model based on an initial angular velocity to obtain a simulation result;

[0127] A simulation screening module 440 is used to screen out simulation results that meet preset conditions as target simulation results, and obtain stress-strain information corresponding to the target simulation results;

[0128] The fatigue prediction module 450 is used to predict the fatigue life of the pickup truck cargo box tailgate according to the stress-strain information to obtain a predicted value of the fatigue life of the pickup truck cargo box tailgate.

[0129] Beneficial effect: Based on the calculated initial angular velocity, the established simulation model is used to perform rotational impact simulation, and the simulation results that meet the preset conditions are screened out. The corresponding stress-strain information is obtained for fatigue life prediction, and the fatigue life prediction value is obtained. This realizes the fatigue life prediction of the pickup truck tailgate, avoids the use of real vehicles for prediction verification, and greatly saves verification time and cost.

[0130] At the same time, by applying simulation technology to simulate the opening and closing durability of the cargo box tailgate, the opening and closing durability life of the cargo box tailgate can be obtained in advance during the structural design stage, providing effective theoretical data support for the cargo box tailgate design, avoiding failure problems, and reducing the subsequent actual vehicle experimental verification cycle and cost.

[0131] It should be noted that the pickup truck tailgate fatigue life prediction device provided in the above embodiment and the pickup truck tailgate fatigue life prediction method provided in the above embodiment belong to the same concept, and the specific way in which each module and unit performs the operation has been described in detail in the method embodiment and will not be repeated here.

[0132] Fig.11A schematic diagram of the structure of an embodiment of the electronic device of the present application is shown, which shows a schematic diagram of the structure of a computer system suitable for implementing the device of the embodiment of the present application. The specific embodiment of the present application does not limit the specific implementation of the device.

[0133] See also Fig.11 As shown, the electronic device includes: a controller; a memory for storing one or more programs, and when the one or more programs are executed by the controller, the above-mentioned pickup truck cargo box tailgate fatigue life prediction method is executed.

[0134] Please continue reading Fig.11 As shown, the computer system 500 of the electronic device includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage part 508 to the random access memory (RAM) 503, such as executing the method in the above embodiment. In RAM 503, various programs and data required for system operation are also stored. CPU 501, ROM 502 and RAM 503 are connected to each other through bus 504. Input / output (I / O) interface 505 is also connected to bus 504.

[0135] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed so that a computer program read therefrom is installed into the storage section 508 as needed.

[0136] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 509, and / or installed from a removable medium 511. When the computer program is executed by a central processing unit (CPU) 501, various functions defined in the system of the present application are executed.

[0137] Another aspect of the present application provides a computer-readable storage medium, which stores at least one executable instruction. When the executable instruction is executed on a device / electronic device, the device / electronic device executes the pickup truck cargo box tailgate fatigue life prediction method as in the above-mentioned embodiment.

[0138] Beneficial effect: Based on the calculated initial angular velocity, the established simulation model is used to perform rotational impact simulation, and the simulation results that meet the preset conditions are screened out. The corresponding stress-strain information is obtained for fatigue life prediction, and the fatigue life prediction value is obtained. This realizes the fatigue life prediction of the pickup truck tailgate, avoids the use of real vehicles for prediction verification, and greatly saves verification time and cost.

[0139] At the same time, by applying simulation technology to simulate the opening and closing durability of the cargo box tailgate, the opening and closing durability life of the cargo box tailgate can be obtained in advance during the structural design stage, providing effective theoretical data support for the cargo box tailgate design, avoiding failure problems, and reducing the subsequent actual vehicle experimental verification cycle and cost.

[0140] It should be noted that the computer-readable medium shown in the embodiment of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. In the present application, a computer-readable signal medium can include a data signal propagated in a baseband or as a part of a carrier wave, wherein a computer-readable computer program is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0141] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0142] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0143] According to one aspect of an embodiment of the present application, a computer system is also provided, including a central processing unit (CPU), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) or a program loaded from a storage portion into a random access memory (RAM), such as executing the method in the above embodiment. In RAM, various programs and data required for system operation are also stored. CPU, ROM and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0144] The following components are connected to the I / O interface: an input part including a keyboard, a mouse, etc.; an output part including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage part including a hard disk, etc.; and a communication part including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication part performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface as needed. Removable media, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., are installed on the drive as needed so that the computer program read therefrom is installed into the storage part as needed.

[0145] The above content is only a preferred exemplary embodiment of the present application and is not intended to limit the implementation scheme of the present application. A person skilled in the art can easily make corresponding changes or modifications based on the main concept and spirit of the present application. Therefore, the scope of protection of the present application shall be based on the scope of protection required by the claims.

Claims

1. A method for predicting fatigue life of a pickup truck cargo box tailgate, characterized in that: The method comprises: According to the preset model data, a simulation model of the pickup truck cargo box tailgate is established; wherein the preset model data is the model data of the pickup truck cargo box tailgate imported by the user; Calculating the initial angular velocity of the pickup truck cargo box tailgate for rotational impact according to a preset opening angle and a preset linear velocity; wherein the preset opening angle is the opening angle of the pickup truck cargo box tailgate input by the user; Based on the initial angular velocity, the simulation model is used to perform a rotation impact simulation of the tailgate of a pickup truck to obtain a simulation result; Filtering out the simulation results that meet the preset conditions as target simulation results, and obtaining stress-strain information corresponding to the target simulation results; The fatigue life of the pickup truck cargo box tailgate is predicted according to the stress-strain information to obtain a predicted value of the fatigue life of the pickup truck cargo box tailgate.

2. The method according to claim 1, characterized in that The preset model data includes a plurality of components and connection modes between the components; the components include non-active power components and active power components; The step of establishing a simulation model of the pickup truck cargo box tailgate according to the preset model data further includes: Establishing a sub-model corresponding to the component in a preset simulation software, and setting the material properties of the sub-model according to the different component types corresponding to the sub-model; wherein the material properties include true material properties and false material properties, and the false material properties are used as the starting material properties of each sub-model; Setting a material property switching switch; wherein the material property switching switch is a switch for switching the material properties of each of the sub-models; Connecting the sub-models according to the connection mode between the components to obtain an initial model; A simulation model of the pickup truck cargo box tailgate is constructed based on the initial model, the material property switching switch, and the material properties of each sub-model.

3. The method according to claim 2 is characterized in that: The component includes one or more connected mechanisms; the step of establishing a sub-model corresponding to the component in the preset simulation software further includes: According to whether there is a force acting on the pickup truck tailgate during rotational impact, the mechanism of the component is divided into a necessary mechanism and a simplifiable mechanism; wherein the necessary mechanism is a mechanism with a force acting on it, and the simplifiable mechanism is a mechanism without a force acting on it; The simplifiable mechanisms in the components are screened out to obtain target components, and a corresponding sub-model is established according to the target components.

4. The method according to claim 1, characterized in that: The step of calculating the initial angular velocity of the pickup truck cargo box tailgate for rotational impact according to the preset opening angle and the preset linear velocity further includes: The initial linear velocity of the pickup truck cargo box tailgate for rotational impact is calculated based on the preset opening angle, the preset linear velocity, gravity and the rotation radius; wherein the preset linear velocity is the linear velocity of the outer edge of the pickup truck cargo box tailgate at the closing moment; and the rotation radius is the distance between the center of mass of the pickup truck cargo box tailgate and the rotation axis of the pickup truck cargo box tailgate; The initial angular velocity of the pickup truck cargo box tailgate is calculated based on the initial linear velocity and the turning radius.

5. The method according to claim 2, characterized in that: The sub-model includes a non-active power component sub-model and an active power component sub-model; the true material property and the false material property of the non-active power component sub-model are both rigid; the true material property of the active power component sub-model is flexible, and the false material property of the active power component is rigid; The step of using the simulation model to perform a pickup truck cargo box tailgate rotation impact simulation based on the initial angular velocity to obtain a simulation result further includes: Based on the initial angular velocity, the simulation model is used to perform a pickup truck cargo box tailgate impact simulation to obtain a motion trajectory of the pickup truck cargo box tailgate impact simulation; wherein the material properties of each of the sub-models in the simulation model are pseudo material properties; Triggering a material property switching switch to switch the material property of the sub-model from a false material property to a true material property, thereby obtaining a switched simulation model; Based on the initial angular velocity, using the switched simulation model to perform a pickup truck cargo box tailgate impact simulation to obtain an energy curve of the pickup truck cargo box tailgate impact simulation; The simulation result is obtained according to the motion trajectory and the energy curve.

6. The method according to claim 5, characterized in that The sub-model includes a lock tongue sub-model and a lock ring sub-model; the simulation result also includes a locking state; the locking state is determined according to the current position between the lock tongue sub-model and the lock ring sub-model; The method further comprises: Detecting whether the locking state is the locked state, detecting whether the trajectory curve of the motion trajectory fits the preset trajectory curve, and detecting whether the distribution of the energy curve meets the preset distribution condition; If both are yes, then the simulation result meets the preset conditions; If any of the above conditions is no, then the simulation result does not meet the preset condition.

7. The method according to claim 6, characterized in that The energy curves include a total energy curve, a kinetic energy curve, an internal energy curve and an hourglass energy curve; The step of detecting whether the distribution of the energy curve meets the preset distribution condition further comprises: According to the internal energy curve, detecting whether the values ​​corresponding to each internal energy are all positive; If yes, then obtain the maximum internal energy value corresponding to the peak value of the internal energy curve, and calculate the target value based on the maximum internal energy value; Obtaining a maximum hourglass energy value corresponding to the peak value of the hourglass energy curve, and detecting whether the maximum hourglass energy value is less than the target value; If yes, detecting whether the value fluctuation range of the total energy curve is within a preset range; If so, whether the distribution of the energy curve conforms to the preset distribution.

8. A pickup truck cargo box tailgate fatigue life prediction device, characterized in that: The device comprises: A simulation modeling module, used to establish a simulation model of the pickup truck cargo box tailgate according to preset model data; wherein the preset model data is the model data of the pickup truck cargo box tailgate imported by the user; An angular velocity calculation module, used to calculate the initial angular velocity of the pickup truck cargo box tailgate for rotational impact according to a preset opening angle and a preset linear velocity; wherein the preset opening angle is the opening angle of the pickup truck cargo box tailgate input by the user; A simulation module, for performing a rotation impact simulation of a pickup truck cargo box tailgate using the simulation model based on the initial angular velocity to obtain a simulation result; A simulation screening module, used to screen out the simulation results that meet the preset conditions as target simulation results, and obtain stress-strain information corresponding to the target simulation results; The fatigue prediction module is used to predict the fatigue life of the pickup truck cargo box tailgate according to the stress-strain information to obtain a predicted value of the fatigue life of the pickup truck cargo box tailgate.

9. An electronic device, characterized in that: include: Controller; A memory for storing one or more programs, which, when executed by the controller, enables the controller to implement the pickup truck cargo box tailgate fatigue life prediction method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The storage medium stores at least one executable instruction, and when the executable instruction is executed on the device / electronic device, the device / electronic device executes the operation of the pickup truck cargo box tailgate fatigue life prediction method as described in any one of claims 1 to 7.

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