Method, device and equipment for controlling door closing speed and storage medium

Abstract

Embodiments of the present application disclose a vehicle door closing speed control method, device, equipment and storage medium, wherein the control method comprises: determining at least one performance parameter affecting the minimum closing speed of the vehicle door; generating a correlation model between the minimum closing speed and the at least one performance parameter; determining an optimal solution of each performance parameter based on a preset optimization target and the correlation model; and verifying the actually collected vehicle door closing speed based on the optimal solution. Embodiments of the present application determine the parameters affecting the minimum closing speed of the vehicle door through parameterized design, establish a correlation model between the minimum closing speed and the performance parameters, and then positively design the minimum vehicle door closing speed to achieve the initial design target and avoid the cost and cycle risk of the traditional method of designing first and then optimizing.

Description

Technical Field

[0001] This application relates to, but is not limited to, the field of automotive engineering technology, and in particular to a method, apparatus, device, and storage medium for controlling the closing speed of a vehicle door. Background Technology

[0002] As competition intensifies in the vehicle market and body technology advances, new energy vehicles are shifting from policy support to market-driven growth. Product and intelligent experiences have become increasingly important due to the younger generation of car buyers. While scissor doors and falcon-wing doors have been introduced, considering reliability and cost-effectiveness, side-opening and rotating manual opening and closing remains the preferred configuration for mainstream models. Implementing economical and reliable design solutions, providing users with the most comfortable and effortless door opening and closing experience, can greatly enhance a vehicle's selling points and user satisfaction. Therefore, user experience and intuitive feel have become the most important guiding principles in automotive design.

[0003] In today's market, with a wide variety of vehicles to choose from and extended usage time, users are paying increasing attention to the sound quality of car doors and the comfort of operation. Door closing speed is a crucial indicator of door quality. In related technologies, door closing speed is typically measured only during the actual vehicle production stage, and any deviations are corrected as needed. Summary of the Invention

[0004] In view of this, embodiments of this application provide at least one method, apparatus, device, and storage medium for controlling the closing speed of a vehicle door.

[0005] The technical solution of this application embodiment is implemented as follows:

[0006] In a first aspect, embodiments of this application provide a method for controlling the closing speed of a vehicle door, the method comprising:

[0007] Determine at least one performance parameter that affects the minimum closing speed of the vehicle door; generate a correlation model between the minimum closing speed and the at least one performance parameter; determine the optimal solution for each performance parameter based on a preset optimization objective and the correlation model; and verify the actual door closing speed based on the optimal solution.

[0008] In some implementations, determining at least one performance parameter affecting the minimum closing speed of the vehicle door includes: performing a force analysis on the door closing process to determine the corresponding door closing force; and determining at least one performance parameter related to the minimum closing speed based on the door closing force.

[0009] In this way, since the minimum closing speed indirectly reflects the door closing force, the performance parameters affecting the minimum closing speed of the door can be determined by analyzing the force during the door closing process, thus achieving the goal of parametrically designing the minimum closing speed of the door.

[0010] In some implementations, generating a correlation model between the minimum shutdown speed and the performance parameters includes: generating an actual test plan based on the respective value ranges of the at least one performance parameter; performing simulation analysis according to the actual test plan to obtain analysis results; and generating a correlation model between the minimum shutdown speed and the performance parameters based on the analysis results.

[0011] In this way, by selecting the performance parameters related to the performance response and setting the range of values ​​for the performance parameters, an actual test plan is generated. Based on the experimental design method, the causal relationship between the performance response and each performance parameter is established, and the correlation model between the minimum shutdown speed and the performance parameters is obtained.

[0012] In some implementations, generating an actual test plan based on the value range of each of the at least one performance parameter includes: determining N levels for each performance parameter based on the value range of each performance parameter; wherein N is greater than or equal to 3; and combining the N levels of each of the at least one performance parameter to obtain the actual test plan.

[0013] In this way, by using response surface design to arrange the actual test plan, multiple test plans can be obtained by combining at least three levels of each performance parameter, which is convenient for subsequent simulation analysis to accurately estimate the parameters of the model.

[0014] In some implementations, verifying the actual door closing speed based on the optimal solution includes: testing the actual door closing speed based on the optimal solution; comparing the difference between the actual closing speed and the minimum closing speed; and adjusting the optimal solution for each performance parameter based on the difference.

[0015] In this way, by utilizing the difference between the actual closing speed and the minimum closing speed, the optimal value of a certain performance parameter can be increased or decreased, and the minimum closing speed Y value that meets the design intent can be calculated.

[0016] In some embodiments, the method further includes: selecting a key parameter from the at least one performance parameter based on product functional requirements; wherein the product functional requirements are used to characterize the target expectation of the minimum closing speed of the door; correspondingly, generating a correlation model between the minimum closing speed and the performance parameter includes: generating a correlation model between the minimum closing speed and the key parameter.

[0017] In this way, by prioritizing at least one performance parameter according to the product's functional requirements and identifying key parameters, computational complexity can be reduced and a correlation model between minimum shutdown speed and key parameters can be quickly established.

[0018] In some implementations, selecting key parameters from the at least one performance parameter based on product functional requirements includes: determining a relationship matrix between the at least one performance parameter and the product functional requirements; wherein each element in the relationship matrix represents the degree of correlation between each performance parameter and the product functional requirements; determining the total score percentage of each performance parameter based on a preset importance and the relationship matrix; wherein the importance is related to the product functional requirements; and selecting the key parameters from the at least one performance parameter based on the total score percentage.

[0019] In this way, by calculating the total score ratio of the product of importance and each element in the relationship matrix, the priority order of parameters affecting product functional requirements can be determined, thereby accurately screening out the key parameters affecting the minimum closing speed, which facilitates the rapid establishment of functional models of the minimum closing speed and performance parameters of the car door.

[0020] Secondly, embodiments of this application provide a door closing speed control device, the device comprising:

[0021] The parameter determination module is used to determine at least one performance parameter that affects the minimum closing speed of the door;

[0022] A model building module is used to generate a correlation model between the minimum shutdown speed and the at least one performance parameter;

[0023] The parameter solving module is used to determine the optimal solution for each of the performance parameters based on the preset optimization objective and the correlation model.

[0024] The effect verification module is used to verify the actual door closing speed collected based on the optimal solution.

[0025] Thirdly, embodiments of this application provide an electronic device, including a memory and a processor. The memory stores a computer program that can run on the processor, and the processor executes the program to implement some or all of the steps in the above-described method.

[0026] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements some or all of the steps in the above-described method.

[0027] The beneficial effects of this application are:

[0028] In this embodiment, at least one performance parameter affecting the minimum closing speed of the car door is first determined; then, a correlation model between the minimum closing speed and the at least one performance parameter is generated; next, based on a preset optimization objective and the correlation model, the optimal solution for each performance parameter is determined; finally, based on the optimal solution, the actual collected car door closing speed is verified. In this way, by parametric design, the parameters affecting the minimum closing speed of the car door are sought, and a functional relationship between the minimum closing speed and the performance parameter is established, thereby forward designing the minimum car door closing speed, achieving the initial design objective, and avoiding the cost and cycle risks of the traditional method of designing first and then optimizing.

[0029] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and are not intended to limit the technical solutions of this disclosure. Attached Figure Description

[0030] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with this application and, together with the specification, serve to explain the technical solutions of this application.

[0031] Figure 1 A schematic flowchart of an optional door closing speed control method provided in an embodiment of this application;

[0032] Figure 2 A logic flowchart of the door closing speed control method provided in the embodiments of this application;

[0033] Figure 3 This is a schematic diagram of the side-opening rotating door system provided in an embodiment of this application;

[0034] Figure 4A A schematic diagram of the closing force of a side-opening rotating door provided in an embodiment of this application;

[0035] Figure 4B A schematic diagram of the door limiter resistance in the door closing force provided in this application embodiment;

[0036] Figure 5 A schematic diagram of the frame of a quality house provided for an embodiment of this application;

[0037] Figure 6 A schematic diagram of the minimum shut-off speed measurement system provided in the embodiments of this application;

[0038] Figure 7 A schematic diagram of the composition structure of the door closing speed control device provided in the embodiments of this application;

[0039] Figure 8 This is a schematic diagram of the hardware entity of an electronic device provided in an embodiment of this application.

[0040] Among them, 1—door welding assembly, 2—upper door hinge 21 and lower door hinge 22, 3—door limiter, 4—door sealing strip 41 and door frame sealing strip 42, 5—door lock, 6—outward opening handle. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application are further described in detail below with reference to the accompanying drawings and embodiments. 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.

[0042] 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.

[0043] The terms “first / second / third” are used merely to distinguish similar objects and do not represent a specific ordering of objects. It is understood that “first / second / third” may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0044] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terminology used herein is for descriptive purposes only and is not intended to limit the scope of this application.

[0045] One related technology provides a method for determining the closing speed of an automatic car door. First, the vehicle's ventilation status is assessed, and a corresponding speed is configured to ensure a stable automatic door closing speed. This method requires an automatic door controller to collect signals and determine the speed. The door drive mechanism controls the door to close at the specified speed. This method requires a high-configuration system, with the controller and drive motor occupying significant internal door space. It also makes the installation of anti-collision beams and internal cable harnesses difficult, and the high cost limits its application.

[0046] Related technologies also provide a door closing force measuring device, which provides a measuring system that integrates pressure and time, displays the calculated value on the device, and quantifies the door closing force. The force sensor of this system is connected to the inside of the palm of the glove, which is not the same as the point of force applied by a person manually closing the door, and can only measure the force value of a specific hand gesture when closing the door.

[0047] The above methods all involve measurement and matching during the physical stage after the door design is completed. They do not involve the accessories and design that affect the minimum closing speed of the door, and cannot accurately parameterize them in the early stage of design. This affects the cycle and cost of door verification and rectification, and there is a risk of delay and design change, which contradicts the concept of interleaving design and verification.

[0048] This application provides a method for controlling the closing speed of a vehicle door, which can be executed by a processor of an electronic device. The electronic device can be a server, laptop, tablet, desktop computer, smart TV, set-top box, mobile device (e.g., mobile phone, portable video player, personal digital assistant, dedicated messaging device, portable gaming device), or any other device capable of controlling the closing speed of a vehicle door. Figure 1 The following is a schematic diagram of an optional process for controlling the door closing speed provided in an embodiment of this application, such as... Figure 1 As shown, the method includes the following steps S110 to S140:

[0049] Step S110: Determine at least one performance parameter that affects the minimum closing speed of the door.

[0050] Here, the vehicle door includes, but is not limited to, a side-opening revolving door of a car. In some embodiments, the vehicle door is an automatically opening and closing door, and in some embodiments, the vehicle door is a manually opening and closing door.

[0051] It should be noted that during the closing process, a car door needs to overcome resistance from its own weight, hinges, limiters, the reverse force of the sealing strip, and the contact resistance of the door lock. Since the direction and magnitude of these resistances change during the closing process, they cannot be continuously measured and are generally assessed indirectly using the door speed. As psychoacoustic performance indicators that accurately describe human sound perception, the loudness and sharpness of the car door's sound quality are measured under the condition of the door's minimum closing speed. Therefore, the minimum closing speed indirectly reflects the door's closing force.

[0052] By analyzing the closing force of the car door, at least one performance parameter that affects the minimum closing speed of the car door can be determined, including but not limited to the gravity component of the car door, the resistance of the car door hinge, the resistance of the car door limiter, the sealing reaction force, the door lock reaction force, and the air resistance.

[0053] Step S120: Generate a correlation model between the minimum shutdown speed and the at least one performance parameter.

[0054] Here, the minimum shutdown speed is used as the performance response and the performance parameters are used as quality characteristics. The correlation between the minimum shutdown speed and the performance parameters is analyzed by constructing a house of quality, thereby generating a correlation model.

[0055] Step S130: Based on the preset optimization objective and the correlation model, determine the optimal solution for each of the performance parameters.

[0056] Here, the preset optimization target is determined based on the product's functional requirements, such as the minimum shutdown speed that meets the user's subjective evaluation.

[0057] Assume the correlation model is Y = AX1 + BX2 + CX3 + DX4 + E, where Y is the minimum closing speed of the car door, A, B, C, and D are fitting coefficients, and E is a constant. A, B, C, D, and E are obtained based on the correlation analysis results between the minimum closing speed and performance parameters.

[0058] Step S140: Based on the optimal solution, verify the actual collected door closing speed.

[0059] Here, the verification refers to physical verification or simulation verification, and the purpose of the verification is to adjust various performance parameters in order to design performance parameters that meet the optimization objectives.

[0060] In some implementations, the optimal solution for each performance parameter is substituted into a correlation model to calculate the expected minimum closing speed. Then, the door closing speed in actual scenarios is measured and recorded to verify whether the door closing speed meets the expected minimum closing speed. In other implementations, the optimal solution for each performance parameter is substituted into a correlation model to calculate the expected minimum closing speed. Simultaneously, simulation analysis software is used to perform simulation analysis under preset operating conditions to obtain the predicted minimum closing speed, thus verifying whether the door closing speed meets the expected minimum closing speed.

[0061] In this embodiment, at least one performance parameter affecting the minimum closing speed of the car door is first determined; then, a correlation model between the minimum closing speed and the at least one performance parameter is generated; next, based on a preset optimization objective and the correlation model, the optimal solution for each performance parameter is determined; finally, based on the optimal solution, the actual collected car door closing speed is verified. In this way, by parametric design, the parameters affecting the minimum closing speed of the car door are sought, and a functional relationship between the minimum closing speed and the performance parameter is established, thereby forward designing the minimum car door closing speed, achieving the initial design objective, and avoiding the cost and cycle risks of the traditional method of designing first and then optimizing.

[0062] In some embodiments, step S110, "determining at least one performance parameter affecting the minimum closing speed of the door," may include the following steps S111 to S112:

[0063] Step S111: Perform a force analysis on the door closing process to determine the corresponding door closing force.

[0064] Here, we analyze the components that affect the quality of door opening and closing from the perspective of the door system's composition, such as the door welding assembly, door sealing strip, door frame sealing strip, limiter, hinge, door lock, and outward-opening handle. During the door closing process, it needs to resist the limiter's holding state under the action of external force, overcome the door's own weight to rotate, first contact the sealing strip to compress it, and finally the pawl and lock pin on the lock body contact each other, entering the locked and closed state.

[0065] Therefore, the resistance that a car door needs to overcome during the closing process includes, but is not limited to: the weight of the door, hinges, limiter resistance, the reverse force of the sealing strip, door lock contact resistance, and air resistance. Since the direction and magnitude of these forces change during the door closing process and cannot be continuously measured, statistical data and experience have shown that the door closing force is directly proportional to the minimum closing speed. Therefore, the minimum closing speed is used as an equivalent measure of the door closing force.

[0066] In some implementations, when the door is closed to near the fully closed position, the door closing force is calculated as: door frame seal reaction force + door seal reaction force + door lock reaction force - limiter resistance - gravity component + hinge resistance. In some implementations, the door closing force is calculated as: door frame seal reaction force + door seal reaction force + door lock reaction force - limiter resistance - gravity component + hinge resistance + air resistance.

[0067] Step S112: Based on the door closing force, determine at least one performance parameter related to the minimum closing speed.

[0068] Here, since the door closing force is directly proportional to the minimum closing speed of the door, and the minimum closing speed indirectly reflects the door closing force, the performance parameters affecting the minimum closing speed of the door are determined by analyzing the door closing force, such as the door gravity component, the resistance of the door hinge, the resistance of the door limiter, the sealing reaction force, and the door lock reaction force.

[0069] In the above embodiments, by analyzing the forces during the door closing process, the performance parameters affecting the minimum closing speed of the door are determined, thus achieving the goal of parametrically designing the minimum closing speed of the door.

[0070] In some embodiments, step S130, "generating a correlation model between the minimum shutdown speed and the performance parameter," includes the following steps S131 to S133:

[0071] Step S131: Generate an actual test plan based on the value range of each of the at least one performance parameter.

[0072] Here, after using parametric design to determine the minimum closing speed of the car door and analyzing the performance parameters affecting the door closing sound performance, the range of values ​​for these performance parameters can be further determined. For example, the range of sealing reaction force is 10 N (Newtons) to 50 N (Newtons), and the range of limiter resistance is -8 N (Newtons) to -2 N (Newtons), etc. This application embodiment does not limit these values.

[0073] In some implementations, based on the value range of each performance parameter, M levels of the corresponding performance parameter are determined; wherein M is greater than or equal to 3; the M levels of each of the at least one performance parameter are combined to obtain the actual test plan.

[0074] Here, the actual experimental plan (DOE) is arranged using response surface design. Usually, the number of experiments is greater than the number of parameters, and it is generally considered that it should be at least 3 times the number of parameters. The values ​​of each parameter of the correlation model are estimated by least squares method.

[0075] Different levels can be designed for different performance parameters. For example, parameter 1 can be set with one level above and one below the median value, resulting in a total of 3 levels. Parameter 2 can be set with two levels above and one below the median value, resulting in a total of 5 levels. Thus, parameters 1 and 2 can be combined to obtain 15 sets of actual test plans.

[0076] For example, by adding or removing sealing strips, the sealing reaction force can be set to 5 levels, each 20N upwards and downwards from the midpoint. The X3 limit switch has a first-level limit resistance with a negative closing direction. The limit resistance can be adjusted by increasing or decreasing friction, and set to 3 levels upwards and downwards according to standard parameters.

[0077] In this way, by using response surface design to arrange the actual test plan, multiple test plans can be obtained by combining at least three levels of each performance parameter, which is convenient for subsequent simulation analysis to accurately estimate the parameters of the model.

[0078] Step S132: Perform simulation analysis according to the actual test plan and obtain the analysis results.

[0079] Here, simulation analysis software is used to perform simulation analysis under preset working conditions according to the generated DOE test plan, and the analysis results of the DOE test design are obtained.

[0080] Step S133: Based on the analysis results, generate a correlation model between the minimum shutdown speed and the performance parameters.

[0081] Here, the analysis results of the obtained DOE experimental design are substituted into the functional relationship between the minimum shutdown speed and the performance parameters to solve for the fitting coefficients and constants of each performance parameter, thus obtaining the final correlation model.

[0082] In the above embodiments, by selecting performance parameters related to performance response and setting the value range of the performance parameters, an actual test plan is generated. Based on the experimental design method, a causal relationship between performance response and each performance parameter is established, and a correlation model between minimum shutdown speed and the performance parameters is obtained.

[0083] In some embodiments, step S140, "verifying the actual collected door closing speed based on the optimal solution," includes the following steps S141 to S143:

[0084] Step S141: Based on the optimal solution, test the actual closing speed of the car door.

[0085] Step S142: Compare the difference between the actual closing speed and the minimum closing speed.

[0086] Step S143: Based on the differences, adjust the optimal solution for each performance parameter.

[0087] In implementation, the optimal solution of each performance parameter is substituted into the correlation model to calculate the expected minimum shutdown speed. Then, the actual shutdown speed in the real scenario is measured and recorded. The difference between the expected minimum shutdown speed and the actual shutdown speed is calculated. This difference is used to increase or decrease the optimal solution value of a certain performance parameter to calculate the minimum shutdown speed Y value that meets the design intent.

[0088] In some embodiments, after determining at least one performance parameter affecting the minimum closing speed of the door, the method further includes step S150: selecting a key parameter from the at least one performance parameter based on product functional requirements; wherein the product functional requirements are used to characterize the target expectation of the minimum closing speed of the door, and correspondingly, step S130 may be further implemented to generate a correlation model between the minimum closing speed and the key parameter.

[0089] In the above embodiments, determining the priority of at least one performance parameter according to the product functional requirements and identifying key parameters can reduce computational complexity and quickly establish a correlation model between minimum shutdown speed and key parameters.

[0090] In some embodiments, step S150 further includes steps S151 to S153, wherein:

[0091] Step S151: Determine the relationship matrix between the at least one performance parameter and the product functional requirements.

[0092] Here, each element in the relationship matrix represents the degree of correlation between each performance parameter and the product functional requirement. The product functional requirement refers to the door closing speed set by the customer. The element value Rij in the relationship matrix describes the degree to which the j-th quality characteristic responds to the i-th customer requirement.

[0093] Step S152: Based on the preset importance and the relationship matrix, determine the total score percentage of each performance parameter.

[0094] Here, the importance level is related to the product functional requirements. Based on experience, each customer requirement has an importance level, which can be marked by 10 levels from 0 to 9. The higher the value, the higher the importance. For example, 0 means no relationship, 1 means that the quality characteristics have a slight impact on the customer's requirements, 3 means a moderate impact, and 9 means a direct and significant impact.

[0095] In implementation, the House of Quality tool is used to list performance parameters in a relational matrix and calculate the product of importance and each element in the relational matrix to determine the total score percentage of the corresponding performance parameter.

[0096] Step S153: Based on the total score percentage, select the key parameters from the at least one performance parameter.

[0097] Here, by sorting the total score percentage of each performance parameter, the key parameters with the least impact on shutdown speed are selected. It is worth noting that when determining the causal relationship between performance characteristics and product functional requirements, engineering experience often assigns higher scores to key parameters.

[0098] In the above embodiments, by calculating the total score ratio of the product of importance and each element in the relationship matrix, the priority order of parameters affecting product functional requirements can be determined, thereby accurately screening out the key parameters affecting the minimum closing speed, which facilitates the rapid establishment of a function model for the minimum closing speed and performance parameters of the car door.

[0099] The method for controlling the closing speed of the car door described above will be explained below with reference to a specific embodiment. However, it should be noted that this specific embodiment is only for better illustration of this application and does not constitute an improper limitation of this application.

[0100] This application provides a parameterized design method and measurement method for the minimum closing speed of a side-opening rotary car door. By parameterized design, the method seeks the parameters that affect the minimum closing speed of the car door, and uses the DOE experimental method to study the relationship between the minimum closing speed and the parameters. In this way, the minimum closing speed of the car door is designed in the forward direction to achieve the initial design goal and avoid the cost and cycle risks of the traditional method of designing first and then optimizing.

[0101] Figure 2A logic flowchart of the door closing speed control method provided in the embodiments of this application is shown below. Figure 2 As shown, the method includes the following steps S210 to S240:

[0102] Step S210: Determine the minimum closing speed that affects the sound quality of the car door.

[0103] Here, we first analyze the forces acting on the side-opening rotary door during the closing process to determine the minimum closing speed of the Y value that affects the door's sound quality;

[0104] Figure 3 This is a schematic diagram of the side-opening rotating door system provided in the embodiments of this application, such as... Figure 3 The side-opening revolving door includes a door welding assembly 1, upper and lower door hinges 21 and 22, a door limiter 3, a sealing strip 4, and a door lock 5. The sealing strip 4 includes a door sealing strip 41 installed on the door welding assembly and a door frame sealing strip 42 installed on the side panel stop. Referring to Figure 4, during the closing process of the side-opening revolving door, the resistance that needs to be overcome includes the door's weight component G2, the resistance of the door hinges F21 and F22, the resistance of the door limiter F3, the sealing reaction forces F41 and F42, and the door lock reaction force F5.

[0105] Force analysis during the door closing process reveals that the door closing force F = F21 + F22 - F3 + F41 + F42 + F5 - G2. In this embodiment, the limiter is a rubber slider type limiter with a 5-degree tilt angle. During opening, the limiter's main arm slides within a rubber spring, compressing the spring and generating frictional resistance. During closing, the component of the frictional resistance aligns with the closing direction, acting as a beneficial force. To ensure self-closing during door closure, the door hinge axis is generally designed to tilt inwards. During opening, the door's center of gravity rises in height, overcoming gravity to open. During closing, the door's center of gravity lowers in height, and the component of the door's weight aligns with the closing direction, facilitating closure. Since the direction and magnitude of these forces change during door closing, continuous measurement is impossible. Statistical data and experience show that the door closing force is directly proportional to the minimum closing speed; therefore, the minimum closing speed is used as an equivalent measure of the door closing force.

[0106] Here, through the analysis of the closing force of the S1 door, the performance parameters affecting the minimum closing speed of the door are the door gravity component G2, the resistance of the door hinge F11 and F12, the resistance of the door limiter F3, the sealing reaction force F21 and F22, and the door lock reaction force F4.

[0107] In implementation, the House of Quality tool is used to list these performance parameters in a relation matrix. Each element Rij in the relation estimation represents the degree of correlation between customer demand (equivalent to the door closing speed of this application) and quality characteristics (equivalent to the performance parameters of this application). The size of Rij represents the magnitude of the j-th quality characteristic in response to the ith customer demand.

[0108] Figure 5 A schematic diagram of the frame of a quality house provided in this application embodiment is shown below. Figure 5 As shown, the product functional requirements, i.e. customer requirements, are set on the roof. These are usually measurable indicators. In this application, they are specifically the door closing speed that meets the user's subjective evaluation. The larger the value, the better; the closer the value is to the target value, the better; and the smaller the value, the better. The door weight, door lifting height, sealing force, hinge friction resistance, limiter resistance, and air resistance are all performance parameters. The technical indicator score is the total score percentage of the performance parameter indicators. Among them, the door lifting height, sealing reaction force, and limiter resistance have relatively high scores and relative importance, and can therefore be identified as key parameters.

[0109] The total score percentage of performance parameters is obtained by multiplying the importance of each element in the relationship matrix. Key parameters affecting the minimum closing speed are then selected, including but not limited to: limiter first-gear center of gravity rise X1, door sealing reaction force X2, and limiter resistance X3. Based on design experience, a median value for X1 is set, with three levels of X1 set up, increasing and decreasing by 2 mm each. X2, door sealing reaction force, includes the door sealing strip reaction force, door frame sealing strip reaction force, and door lock reaction force. By adding or removing sealing strips, the sealing reaction force is set up at five levels, increasing and decreasing by 20 N each, based on the median value. X3, limiter first-gear limit resistance, is negative in the closing direction. The limit resistance is adjusted by increasing or decreasing friction, with three levels set up, increasing and decreasing by 3 N each, based on conventional parameters.

[0110] Step S230: Based on the experimental design method, obtain the correlation model between the minimum closing speed of the car door and the performance parameters.

[0111] Here, based on the design of experiments method, a causal relationship between the performance index Y (i.e., the minimum closing speed of the car door) and the key parameters X1, X2, and X3 is established, resulting in a functional model of the minimum closing speed of the car door and the key parameters. Response surface methodology is used to arrange experimental plans, resulting in 45 experimental plans based on 3 levels of parameter X1, 5 levels of X2, and 3 levels of X3. The minimum closing speed of the car door is measured in 45 sets. Using the DOE (Design of Response Surfaces) module of MINITAB, the correlation model between the performance index Y and the parameter X is obtained as follows: Y = 1.216 - 0.01577*X1 - 0.00725*X2 + 0.00822*X3 + 0.000044*X2*X2.

[0112] Before measuring the Y-values ​​of 45 sets of car doors, the capability of the door minimum closing speed measurement system needs to be evaluated. The instrument used is a door closing speed measuring instrument, referring to... Figure 6 The minimum closing speed measurement system shown is illustrated on the left and right sides, respectively, with a sample diagram and a physical diagram. The measuring rod 61 is mounted on the movable door, and the sensor 62 is mounted on the stationary door or the outer side panel. Two operators close 10 doors, increasing or decreasing the closing speed until the door just closes or just fails to close. The speed is read by the speed measuring instrument 63 and taken as the minimum closing speed of the door. This process is repeated twice, with each operator obtaining three sets of data. The system's capability is evaluated using statistical data; if the capability is insufficient, improvements must be made.

[0113] Step S240: Based on the preset optimization objective and correlation model, determine and verify the optimal solution for each performance parameter.

[0114] Using the minimum closing speed that meets user subjective evaluation as the optimization objective, the optimal solutions X1, X2, and X3 for each performance parameter are sought based on the function model of S3. Substituting X1, X2, and X3 obtained from S4 into the function model of S3, the minimum closing speed Y is calculated. Based on this, a set of data (Y, X1, X2, X3) is designed. The door parameters are adjusted according to this designed data (X1, X2, X3), and the minimum closing speed is measured using a door minimum closing speed measurement system, with the values ​​recorded. The measured minimum closing speed Y1 is compared with the calculated value Y2 from the function model. If the difference between Y1 and Y2 is less than 10%, the function model is considered reliable.

[0115] Using the method and model of this application, when the minimum closing speed Y value of the target door is input, the minimum closing speed Y value that meets the design intent can be calculated by adjusting the relative relationships of X1 (the center of gravity rise of the limiter at the first stage), X2 (the door sealing reaction force), and X3 (the limiter resistance), increasing or decreasing one of these values. After actual vehicle assembly, a physical comparison can be performed to obtain a measured value that differs from the design value by 10%. This allows the design goal to be achieved in the early stages of small-batch verification, shortening the verification cycle and reducing the risk and cost of part design changes.

[0116] Door engineers can use the function model of this application to set and select parameters during the design phase, and can also use the door minimum closing speed measurement system of this application to measure and read data. Furthermore, they can use the derivation method of the function model of this application to perform parametric design of other door performance targets. Any simple substitutions and modifications made by designers in this technical field based on this application are within the scope of protection of this application.

[0117] Based on the foregoing embodiments, this application provides a door closing speed control device. The device includes various modules, sub-modules, and units included in each module, which can be implemented by a processor in an electronic device; of course, it can also be implemented by specific logic circuits. In the implementation process, the processor can be a central processing unit (CPU), a microprocessor unit (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA), etc.

[0118] Figure 7 This is a schematic diagram of the structure of the door closing speed control device provided in the embodiments of this application, as shown below. Figure 7 As shown, the control device 700 includes: a parameter determination module 710, a model building module 720, a parameter solving module 730, and an effect verification module 740, wherein:

[0119] The parameter determination module 710 is used to determine at least one performance parameter that affects the minimum closing speed of the door.

[0120] The model building module 720 is used to generate a correlation model between the minimum shutdown speed and the at least one performance parameter.

[0121] The parameter solving module 730 is used to determine the optimal solution for each performance parameter based on the preset optimization objective and the correlation model.

[0122] The effect verification module 740 is used to verify the actual door closing speed based on the optimal solution.

[0123] In some possible embodiments, the parameter determination module 710 includes: a first determination submodule, used to perform force analysis on the door closing process and determine the corresponding door closing force; and a second determination submodule, used to determine at least one performance parameter related to the minimum closing speed based on the door closing force.

[0124] In some possible embodiments, the model building module 720 includes: a plan generation submodule, used to generate an actual test plan based on the respective value range of the at least one performance parameter; a simulation submodule, used to perform simulation analysis according to the actual test plan and obtain analysis results; and a model generation submodule, used to generate a correlation model between the minimum shutdown speed and the performance parameter based on the analysis results.

[0125] In some possible embodiments, the plan generation submodule includes: a determination unit, configured to determine M levels of the corresponding performance parameter based on the value range of each performance parameter; wherein M is greater than or equal to 3; and a combination unit, configured to combine the M levels of each of the at least one performance parameter to obtain the actual test plan.

[0126] In some possible embodiments, the effect verification module 740 includes: a testing submodule for testing the actual closing speed of the door based on the optimal solution; a comparison submodule for comparing the difference between the actual closing speed and the minimum closing speed; and a parameter adjustment submodule for adjusting the optimal solution of each performance parameter based on the difference.

[0127] In some possible embodiments, the device further includes a parameter filtering module for selecting key parameters from the at least one performance parameter based on product functional requirements; wherein the product functional requirements are used to characterize the target expectation of the minimum closing speed of the door; correspondingly, the model building module 720 is also used to generate a correlation model between the minimum closing speed and the key parameter.

[0128] In some possible embodiments, the parameter filtering module includes: a first determining submodule, configured to determine a relationship matrix between the at least one performance parameter and the product functional requirements; wherein each element in the relationship matrix represents the degree of correlation between each performance parameter and the product functional requirements; a second determining submodule, configured to determine the total score percentage of each performance parameter based on a preset importance and the relationship matrix; wherein the importance is related to the product functional requirements; and a selecting submodule, configured to filter out the key parameters from the at least one performance parameter based on the total score percentage.

[0129] The descriptions of the apparatus embodiments above are similar to those of the method embodiments above, and have similar beneficial effects. In some embodiments, the functions or modules included in the apparatus provided in this disclosure can be used to perform the methods described in the method embodiments above. For technical details not disclosed in the apparatus embodiments of this application, please refer to the descriptions of the method embodiments of this application for understanding.

[0130] It should be noted that, in this application embodiment, if the above-mentioned door closing speed control method is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application embodiment, in essence, or the part that contributes to related technologies, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause an electronic device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, mobile hard drives, read-only memory (ROM), magnetic disks, or optical disks. Thus, this application embodiment is not limited to any specific hardware, software, or firmware, or any combination of hardware, software, and firmware.

[0131] This application provides an electronic device, including a memory and a processor. The memory stores a computer program that can run on the processor. When the processor executes the program, it implements some or all of the steps in the above-described method.

[0132] This application provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements some or all of the steps in the above-described method. The computer-readable storage medium can be transient or non-transient.

[0133] This application provides a computer program including computer-readable code, wherein when the computer-readable code is executed in an electronic device, a processor in the electronic device performs some or all of the steps in the above-described method.

[0134] This application provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program. When the computer program is read and executed by a computer, it implements some or all of the steps in the above-described method. This computer program product can be implemented specifically through hardware, software, or a combination thereof. In some embodiments, the computer program product is specifically embodied as a computer storage medium; in other embodiments, the computer program product is specifically embodied as a software product, such as a software development kit (SDK), etc.

[0135] It should be noted that the descriptions of the various embodiments above tend to emphasize the differences between them, while their similarities or commonalities can be referred to interchangeably. The descriptions of the above embodiments of the device, storage medium, computer program, and computer program product are similar to the descriptions of the above method embodiments and have similar beneficial effects. For technical details not disclosed in the embodiments of the device, storage medium, computer program, and computer program product of this application, please refer to the descriptions of the method embodiments of this application for understanding.

[0136] It should be noted that, Figure 8 This is a schematic diagram of a hardware entity of an electronic device in an embodiment of this application, such as... Figure 8 As shown, the hardware entity of the electronic device 800 includes: a processor 801, a communication interface 802, and a memory 803, wherein:

[0137] The processor 801 typically controls the overall operation of the electronic device 800.

[0138] Communication interface 802 enables electronic devices to communicate with other terminals or servers via a network.

[0139] The memory 803 is configured to store instructions and applications executable by the processor 801, and can also cache data to be processed or already processed (e.g., image data, audio data, voice communication data, and video communication data) in the processor 801 and various modules in the electronic device 800. It can be implemented using flash memory or random access memory (RAM). Data transfer between the processor 801, the communication interface 802, and the memory 803 can be performed via bus 804.

[0140] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. It should be understood that in the various embodiments of this application, the sequence numbers of the above steps / processes do not imply a sequential order of execution; the execution order of each step / process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application. The sequence numbers of the above embodiments of this application are merely descriptive and do not represent the superiority or inferiority of the embodiments.

[0141] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0142] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0143] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0144] In addition, each functional unit in the various embodiments of this application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0145] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media that can store program code, such as mobile storage devices, read-only memory (ROM), magnetic disks, or optical disks.

[0146] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence or the part that contributes to related technologies, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause an electronic device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, magnetic disks, or optical disks.

[0147] The above description is merely an embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A method for controlling the closing speed of a vehicle door, characterized in that, The method includes: Determine at least one performance parameter that affects the minimum closing speed of the vehicle door; Generate a correlation model between the minimum shutdown speed and the at least one performance parameter; Based on the preset optimization objective and the correlation model, the optimal solution for each performance parameter is determined; Based on the optimal solution, the actual collected door closing speed is verified; The method further includes: A relationship matrix is ​​determined between the at least one performance parameter and the product functional requirements; wherein each element in the relationship matrix represents the degree of correlation between each performance parameter and the product functional requirements; the product functional requirements are used to represent the target expectation of the minimum closing speed of the vehicle door; Based on the preset importance and the relationship matrix, the total score percentage of each performance parameter is determined; wherein, the importance is related to the product functional requirements; Based on the total score percentage, key parameters are selected from the at least one performance parameter; Accordingly, generating the correlation model between the minimum shutdown speed and the at least one performance parameter includes: generating the correlation model between the minimum shutdown speed and the key parameter.

2. The method according to claim 1, characterized in that, The determination of at least one performance parameter affecting the minimum closing speed of the vehicle door includes: Perform a force analysis on the door closing process to determine the corresponding door closing force; Based on the door closing force, at least one performance parameter related to the minimum closing speed is determined.

3. The method according to claim 1, characterized in that, The generation of the correlation model between the minimum shutdown speed and the at least one performance parameter includes: Based on the value range of each of the at least one performance parameter, an actual test plan is generated; Simulation analysis was performed according to the actual test plan, and the analysis results were obtained. Based on the analysis results, a correlation model is generated between the minimum shutdown speed and the at least one performance parameter.

4. The method according to claim 3, characterized in that, The step of generating an actual test plan based on the value range of each of the at least one performance parameter includes: Based on the value range of each performance parameter, M levels of the corresponding performance parameter are determined; wherein M is greater than or equal to 3. The actual test plan is obtained by combining the M levels of each of the at least one performance parameter.

5. The method according to any one of claims 1 to 4, characterized in that, The process of verifying the actual door closing speed based on the optimal solution includes: Based on the optimal solution, the actual closing speed of the car door is tested; Compare the difference between the actual closing speed and the minimum closing speed; Based on the aforementioned differences, the optimal solution for each of the aforementioned performance parameters is adjusted.

6. A control device for the closing speed of a vehicle door, characterized in that, The control device includes: The parameter determination module is used to determine at least one performance parameter that affects the minimum closing speed of the door; A model building module is used to generate a correlation model between the minimum shutdown speed and the at least one performance parameter; The parameter solving module is used to determine the optimal solution for each of the performance parameters based on the preset optimization objective and the correlation model. The effect verification module is used to verify the actual collected door closing speed based on the optimal solution; The first determining submodule in the parameter filtering module is used to determine the relationship matrix between the at least one performance parameter and the product functional requirements; wherein, each element in the relationship matrix represents the degree of correlation between each performance parameter and the product functional requirements; the product functional requirements are used to represent the target expectation of the minimum closing speed of the car door; The second determining submodule in the parameter filtering module is used to determine the total score percentage of each performance parameter based on a preset importance and the relationship matrix; wherein, the importance is related to the product functional requirements; The selection submodule in the parameter filtering module is used to filter key parameters from the at least one performance parameter based on the total score percentage. The model building module is also used to generate a correlation model between the minimum shutdown speed and the key parameters.

7. An electronic device comprising a memory and a processor, the memory storing a computer program executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method according to any one of claims 1 to 5.

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