Vehicle door opening and closing quality optimization method and device and electronic equipment

Abstract

The invention relates to a vehicle door opening and closing quality optimization method and device and electronic equipment, relates to the technical field of vehicles, and is used for improving the pertinence and accuracy of vehicle door opening and closing quality optimization. The method comprises the steps of obtaining index data of door opening and closing operation of a vehicle in different sensing dimensions; wherein the different perception dimensions comprise at least one of the following dimensions: an auditory dimension, a tactile dimension and a visual dimension; under the condition that the target index data of the target sensing dimension does not reach a first preset standard value, obtaining index data of parts of the vehicle corresponding to the target sensing dimension; wherein the target sensing dimension is any one or more sensing dimensions in a plurality of different sensing dimensions; the target index data is any one or more pieces of index data in multiple pieces of index data of the target sensing dimension; and optimizing the door opening and closing quality of the vehicle based on the index data of the parts of the vehicle corresponding to the target sensing dimension.

Description

Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a method, device and electronic equipment for optimizing the opening and closing quality of a vehicle door. Background Art

[0002] Door opening and closing sound quality is a comprehensive concept encompassing people's auditory perception, psychological cognition, and comprehensive evaluation of the physical properties of the sound produced by the moment a passenger car door opens and closes. From an acoustic perspective, it involves basic elements such as loudness, pitch, and timbre, which interweave to shape the overall characteristics of the door opening and closing sound. From a human perspective, it is also closely related to factors such as people's expectations, cultural background, and personal preferences. For example, people's preferences and acceptance of sound may vary across different cultural environments. Some cultures may prefer softer, more subdued sounds, while others may place greater emphasis on rhythm and power.

[0003] In the passenger car sector, the importance of door opening and closing sound quality is becoming increasingly prominent. First, it directly impacts the user's first impression. When consumers open the door, a pleasant, comfortable sound creates an initial perception of quality, enhancing their favorability towards the vehicle; a negative sound can reduce their purchase intention. Second, it is crucial for shaping the automotive brand image. High-end brands often meticulously tune the door opening and closing sound, making it a unique brand identity and conveying a sense of refinement and luxury. Furthermore, good door opening and closing sound quality is also a reflection of the vehicle's overall performance, reflecting the comprehensive level of design, manufacturing process, and component quality.

[0004] In related technologies, the loudness, sharpness, and vibration of a car door when closing it are used as evaluation indicators. A subjective evaluation system is used to evaluate the quality control of the car door, and an objective evaluation method is used for verification. In another related technology, the sound of the self-priming lock in the whole vehicle state is decomposed to obtain the sound of the self-priming lock during the self-priming process. Based on the decomposed sounds of each self-priming lock, a subjective evaluation is performed to determine the objective evaluation parameters, and the data of the quality perception dimension are analyzed and quantified by objective parameters. The sound of the self-priming lock is optimized. Based on the objective results of the optimization samples, rectification is organized and re-analyzed to determine the objective evaluation parameters, and the optimized amount of the objective parameters before and after optimization is obtained, ultimately optimizing the sound of the self-priming door lock. These two methods only evaluate and optimize the sound of the car door when opening and closing based on data from a single sound dimension. The evaluation factors are single, and when combined with the user's subjective evaluation of the sound of the car door when opening and closing, individual users have large differences and are easily affected by environmental factors, resulting in poor optimization effect on the quality of the door opening and closing sound. Summary of the Invention

[0005] The purpose of the present invention is to provide a method, device and electronic equipment for optimizing the opening and closing quality of a vehicle door, aiming to solve the technical problem that the existing technology has a poor optimization effect on the opening and closing sound quality of the door.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0007] In a first aspect, an embodiment of the present application provides a method for optimizing the quality of vehicle door opening and closing, the method comprising: obtaining index data of the vehicle's door opening and closing operations in different perception dimensions; wherein the different perception dimensions include at least one of the following: auditory dimension, tactile dimension, and visual dimension; when the target index data of the target perception dimension does not reach a first preset standard value, obtaining index data of the vehicle's components corresponding to the target perception dimension; wherein the target perception dimension is any one or more perception dimensions among a plurality of different perception dimensions; the target index data is any one or more index data among a plurality of index data of the target perception dimension; based on the index data of the vehicle's components corresponding to the target perception dimension, optimizing the vehicle's door opening and closing quality.

[0008] According to the above technical means, by obtaining index data of different perception dimensions of hearing, touch and vision, when the index data of different perception dimensions do not reach the preset standard value, the index data of the vehicle parts corresponding to the corresponding perception dimension are obtained, and then the vehicle's door opening and closing quality is optimized based on the index data of the vehicle parts in the target perception dimension. This method can comprehensively evaluate and optimize the vehicle's door opening and closing quality by integrating factors of multiple perception dimensions to improve the vehicle's door opening and closing quality.

[0009] In one possible embodiment, obtaining indicator data of the vehicle's door opening and closing operations in different perception dimensions includes: obtaining scores of the vehicle's door opening and closing operations in different perception dimensions; the scores are used to reflect the user's satisfaction with the vehicle's door opening and closing operations in different perception dimensions; when the scores of any one or more perception dimensions do not reach a second preset standard value, obtaining indicator data of the vehicle's door opening and closing operations in different perception dimensions.

[0010] Using this technical approach, we first obtain scores for the vehicle's door opening and closing operation across various perceptual dimensions. Then, if the scores for any one or more of these perceptual dimensions fail to meet a second, pre-set threshold, we obtain further indicator data for the vehicle's door opening and closing operation across these various perceptual dimensions. This scoring approach more intuitively reflects user satisfaction with the vehicle's door opening and closing operation, further refining the conditions and scope for optimizing the vehicle's door opening and closing quality, and improving the targetedness and accuracy of the optimization.

[0011] In one possible implementation, the vehicle's door closing quality is optimized based on index data of vehicle components corresponding to the target perception dimension, including: obtaining manufacturing and assembly index data of the vehicle; the manufacturing and assembly index data characterizes the manufacturing accuracy and assembly quality of the vehicle's doors; if the vehicle's manufacturing and assembly index data does not reach a third preset standard value, the vehicle's door opening and closing quality is optimized based on the index data of vehicle components and the vehicle's manufacturing and assembly index data corresponding to the target perception dimension.

[0012] According to the above technical means, by obtaining vehicle manufacturing and assembly index data, if the vehicle manufacturing and assembly index data does not meet the third preset standard value, the vehicle's door opening and closing quality is optimized based on the manufacturing and assembly index data. It can be understood that this application can evaluate and optimize the door opening and closing quality based on the manufacturing and assembly accuracy of the vehicle, enriching the richness of the evaluation factors of vehicle door opening and closing quality and further improving the optimization effect of vehicle door opening and closing quality.

[0013] In a possible implementation, the indicator data of the auditory dimension includes at least one of the following: ear pressure in the vehicle when the door is closed, loudness of the door opening sound, loudness of the door closing sound, and sharpness of the door closing sound.

[0014] Based on these technical measures, auditory metrics have been clarified, including in-vehicle ear pressure when closing the door, door opening sound loudness, door closing sound loudness, and door closing sound sharpness. By specifying these auditory metrics, the auditory quality of a vehicle's door opening and closing can be more accurately assessed and optimized.

[0015] In a possible implementation, the indicator data of the tactile dimension includes at least one of the following: unlocking force, opening force, minimum door closing speed, and minimum door closing energy.

[0016] Based on these technical measures, tactile metrics have been defined, including unlocking force, opening force, minimum door closing speed, and minimum door closing energy. By specifying these tactile metrics, the tactile quality of vehicle door opening and closing can be more accurately assessed and optimized.

[0017] In a possible implementation, the indicator data of the visual dimension includes at least one of the following: window angle decay time, rearview mirror vibration decay time.

[0018] Based on these technical measures, we have defined visual metrics, including window angle decay time and mirror flutter decay time. By specifying these visual metrics, we can more accurately assess and optimize the visual quality of vehicle door opening and closing.

[0019] In a possible embodiment, the components corresponding to the auditory dimension include at least one of the following: vehicle body, vehicle door, door lock assembly, pressure relief valve assembly, water-cut sealing strip, glass sealing strip, door interior panel sound-absorbing cotton, inner front panel sound insulation pad, carpet, and ceiling.

[0020] Using these technical approaches, we've identified components related to the auditory dimension, including the vehicle body, doors, door lock assemblies, pressure relief valve assemblies, water-tight seals, glass seals, door interior panel sound-absorbing foam, interior front wall sound insulation, carpets, and ceilings. By identifying components related to the auditory dimension, we can more specifically optimize the quality of vehicle door opening and closing.

[0021] In a possible implementation, the components corresponding to the tactile dimension include at least one of the following: a door hinge, a door sealing strip, a door opening sealing strip, a door limiter, a door buffer block, and a door lock assembly.

[0022] Using these technical approaches, we've identified components corresponding to tactile dimensions, including door hinges, door seals, door opening seals, door stoppers, door buffers, and door lock assemblies. By identifying components corresponding to tactile dimensions, we can more specifically optimize the quality of vehicle door openings and closings.

[0023] In a possible implementation, the components corresponding to the visual dimension include at least one of the following: a door window frame, a door assembly, and an exterior rearview mirror assembly.

[0024] Using these technical approaches, we've identified components corresponding to visual dimensions, including door and window frames, door assemblies, and exterior mirror assemblies. By clarifying the components corresponding to these visual dimensions, we can more specifically optimize the quality of vehicle door openings and closings.

[0025] In a possible implementation, the index data of the vehicle's door opening and closing operations in different perception dimensions are obtained based on measurements by a measuring device; or, the index data of the vehicle's door opening and closing operations in different perception dimensions are obtained based on simulation.

[0026] Based on the above technical means, it is clear that indicator data for vehicle door opening and closing operations in different sensory dimensions can be obtained through measurement devices or simulation. By providing multiple data acquisition methods, indicator data can be acquired more flexibly, ensuring data accuracy and reliability, and improving the optimization effect of vehicle door opening and closing quality.

[0027] In a second aspect, an embodiment of the present application provides a vehicle door opening and closing quality optimization device for implementing the vehicle door opening and closing quality optimization method involved in the first aspect above. The device includes: an acquisition module and an optimization module.

[0028] An acquisition module is used to obtain index data of the vehicle's door opening and closing operations in different perception dimensions; wherein the different perception dimensions include at least one of the following: auditory dimension, tactile dimension and visual dimension; the acquisition module is also used to obtain index data of vehicle components corresponding to the target perception dimension when the target index data of the target perception dimension does not reach a first preset standard value; wherein the target perception dimension is any one or more perception dimensions among multiple different perception dimensions; the target index data is any one or more index data among multiple index data of the target perception dimension; an optimization module is used to optimize the vehicle's door opening and closing quality based on the index data of the vehicle components corresponding to the target perception dimension.

[0029] In one possible implementation, the acquisition module is specifically used to obtain scores of the vehicle's door opening and closing operations in different perception dimensions; the scores are used to reflect the user's satisfaction with the vehicle's door opening and closing operations in different perception dimensions; when the scores of any one or more perception dimensions do not reach a second preset standard value, the indicator data of the vehicle's door opening and closing operations in different perception dimensions are obtained.

[0030] In one possible implementation, the acquisition module is specifically used to acquire manufacturing and assembly index data of the vehicle; the manufacturing and assembly index data characterize the manufacturing accuracy and assembly quality of the vehicle doors; the optimization module is specifically used to optimize the vehicle's door opening and closing quality based on the index data of the vehicle's parts corresponding to the target perception dimension and the vehicle's manufacturing and assembly index data when the vehicle's manufacturing and assembly index data does not reach a third preset standard value.

[0031] In a possible implementation, the indicator data of the auditory dimension includes at least one of the following: ear pressure in the vehicle when the door is closed, loudness of the door opening sound, loudness of the door closing sound, and sharpness of the door closing sound.

[0032] In a possible implementation, the indicator data of the tactile dimension includes at least one of the following: unlocking force, opening force, minimum door closing speed, and minimum door closing energy.

[0033] In a possible implementation, the indicator data of the visual dimension includes at least one of the following: window angle decay time, rearview mirror vibration decay time.

[0034] In a possible embodiment, the components corresponding to the auditory dimension include at least one of the following: vehicle body, vehicle door, door lock assembly, pressure relief valve assembly, water-cut sealing strip, glass sealing strip, door interior panel sound-absorbing cotton, inner front panel sound insulation pad, carpet, and ceiling.

[0035] In a possible implementation, the components corresponding to the tactile dimension include at least one of the following: a door hinge, a door sealing strip, a door opening sealing strip, a door limiter, a door buffer block, and a door lock assembly.

[0036] In a possible implementation, the components corresponding to the visual dimension include at least one of the following: a door window frame, a door assembly, and an exterior rearview mirror assembly.

[0037] In a possible implementation, the index data of the vehicle's door opening and closing operations in different perception dimensions are obtained based on measurements by a measuring device; or, the index data of the vehicle's door opening and closing operations in different perception dimensions are obtained based on simulation.

[0038] In a third aspect, an embodiment of the present application provides an electronic device comprising: a processor and a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the vehicle door opening and closing quality optimization method of any of the above embodiments.

[0039] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having computer program instructions stored thereon. When the computer program instructions are executed by a processor, the vehicle door opening and closing quality optimization method of any of the above embodiments is implemented.

[0040] In a fifth aspect, an embodiment of the present application provides a computer program product, which includes computer program instructions. When the computer program instructions are executed by a processor, the vehicle door opening and closing quality optimization method of any of the above embodiments is implemented.

[0041] It should be noted that the technical effects brought about by any implementation method in the second to fifth aspects can refer to the technical effects brought about by the corresponding implementation method in the first aspect, and will not be repeated here.

[0042] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application, and do not constitute an improper limitation on the present application.

[0044] Figure 1 is a schematic diagram of a vehicle door opening and closing quality optimization system according to an exemplary embodiment;

[0045] Figure 2 is a flow chart showing a method for optimizing vehicle door opening and closing quality according to an exemplary embodiment;

[0046] Figure 3 is a flow chart showing another method for optimizing vehicle door opening and closing quality according to an exemplary embodiment;

[0047] Figure 4 is a flow chart showing another method for optimizing vehicle door opening and closing quality according to an exemplary embodiment;

[0048] Figure 5 is a flow chart showing another method for optimizing vehicle door opening and closing quality according to an exemplary embodiment;

[0049] Figure 6 is a block diagram of a vehicle door opening and closing quality optimization device according to an exemplary embodiment;

[0050] Figure 7 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0051] In order to enable ordinary people in the art to better understand the technical solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0052] It should be noted that the terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments of the application described herein can be implemented in an order other than those illustrated or described herein. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0053] In the embodiments of the present application, the terms "comprises," "comprising," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, article, or device comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of other identical elements in the process, article, or device comprising the element.

[0054] In the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0055] Figure 1FIG. 1 is a schematic diagram of a vehicle door opening and closing quality optimization system according to an exemplary embodiment. Figure 1 As shown, the vehicle door opening and closing quality optimization system includes: a terminal device 101, an acquisition device 102, a processing device 103, and an optimization device 104.

[0056] The terminal device 101 is used to obtain the user's scores on the vehicle's door opening and closing operations in different perception dimensions on the human-computer interaction interface, and send the scores on the vehicle's door opening and closing operations in different perception dimensions to the processing device 103.

[0057] Exemplarily, the terminal device 101 may be a mobile phone, a cellular phone, a smartphone, a tablet computer, a wireless data card, a personal digital assistant (PDA), a wireless modem, a handheld device (handset), a machine type communication (MTC) terminal, a computer with wireless transceiver function, a virtual reality (VR) terminal, an augmented reality (AR) terminal, a wireless terminal in self-driving, a wireless terminal in a smart city, a wireless terminal in a smart home, a vehicle-mounted terminal, etc. The embodiment of the present application does not limit the type or category of the terminal device 101. Figure 1 In the figure, the terminal device 101 is shown as a computer as an example.

[0058] The acquisition device 102 is used to acquire index data of the vehicle's door opening and closing operations in different perception dimensions, wherein the different perception dimensions include at least one of the following: hearing, touch, and vision.

[0059] In some embodiments, the acquisition device 102 is further used to acquire index data of vehicle components corresponding to the target perception dimension; wherein the target perception dimension can be any one or more perception dimensions of hearing, touch, and vision.

[0060] In some embodiments, the acquisition device 102 is further used to acquire manufacturing and assembly index data of the vehicle.

[0061] In some embodiments, the acquisition device 102 is also used to send the index data of the vehicle's door opening and closing operations in different perception dimensions, the index data of the vehicle's parts corresponding to the target perception dimension, and the vehicle's manufacturing and assembly index data to the processing device 103.

[0062] For example, the acquisition device 102 may be a sensor (including various types of sensors, such as a force sensor, a sound sensor, etc.) or a high-speed camera. The embodiment of the present application does not limit the specific device form of the acquisition device 102. Figure 1 In the illustration, it is taken that the acquisition device 102 is a camera.

[0063] The processing device 103 is used to determine whether the scores of the vehicle's door opening and closing operations in different perception dimensions reach the preset standard values, and if the scores do not reach the preset standard values, notify the acquisition device 102 to obtain the indicator data of the vehicle's door opening and closing operations in different perception dimensions.

[0064] The processing device 103 is also used to notify the acquisition device 102 to obtain the index data of the vehicle components corresponding to the target perception dimension when it is determined that the target index data of the target perception dimension in multiple different perception dimensions does not reach the preset standard value.

[0065] The processing device 103 is also used to notify the optimization device 104 to optimize the vehicle's door opening and closing quality based on the index data of the vehicle's components corresponding to the target perception dimension and the preset standard values corresponding to the index data of the components when it is determined that the index data of the vehicle's components corresponding to the target perception dimension does not reach the preset standard value.

[0066] The processing device 103 is also used to notify the optimization device 104 to optimize the vehicle's door opening and closing quality based on the vehicle's manufacturing and assembly index data and the preset standard value corresponding to the vehicle's manufacturing and assembly index data when it is determined that the vehicle's manufacturing and assembly index data does not reach the preset standard value.

[0067] Exemplarily, the processing device 103 may be in any of the following forms: a server cluster consisting of multiple servers, a single server, a computer, a processor or processing chip in a server or computer, etc. The embodiment of the present application does not limit the specific device form of the processing device 103. Figure 1 In the figure, the processing device 103 is shown as a single server as an example.

[0068] The optimization device 104 is used to optimize the door opening and closing quality of the vehicle based on the index data of the vehicle components corresponding to the target perception dimension and the preset standard values corresponding to the index data of the components.

[0069] In some embodiments, the optimization device 104 is further configured to optimize the door opening and closing quality of the vehicle based on the vehicle's manufacturing and assembly index data and preset standard values corresponding to the vehicle's manufacturing and assembly index data.

[0070] Exemplarily, the optimization device 104 may be in any of the following forms: a server cluster consisting of multiple servers or a single server, or a computer, or a processor or processing chip in a server or computer, etc. The present embodiment does not limit the specific device form of the optimization device 104. Figure 1 In the figure, the optimization device 104 is shown as a single server as an example.

[0071] It should be noted that the system architecture described in the embodiments of the present application is intended to more clearly illustrate the technical solutions of the embodiments of the present application, and does not constitute a limitation on the technical solutions provided in the embodiments of the present application. A person skilled in the art will know that with the evolution of the system architecture, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0072] Figure 2 FIG. 1 is a flow chart showing a method for optimizing vehicle door opening and closing quality according to an exemplary embodiment. Figure 2 As shown, the vehicle door opening and closing quality optimization method includes the following steps:

[0073] S101. Obtain indicator data of vehicle door opening and closing operations in different perception dimensions.

[0074] Among them, different perception dimensions include at least one of the following: auditory dimension, tactile dimension and visual dimension.

[0075] In some embodiments, the indicator data of the auditory dimension includes at least one of the following: ear pressure in the car when the door is closed, loudness of the door opening sound, loudness of the door closing sound, and sharpness of the door closing sound.

[0076] In some embodiments, the indicator data of the tactile dimension includes at least one of the following: unlocking force, opening force, minimum door closing speed, and minimum door closing energy.

[0077] In some embodiments, the indicator data of the visual dimension includes at least one of the following: window angle decay time, rearview mirror vibration decay time.

[0078] In some embodiments, the indicator data of the vehicle door opening and closing operation in different perception dimensions is based on the measurement device (i.e. Figure 1 The acquisition device 102) is measured and obtained.

[0079] For example, for the indicator data of the auditory dimension, professional recording equipment can be used to record the vehicle door when it is opened and closed, and then the sound samples can be analyzed to obtain the corresponding indicator data; for the indicator data of the tactile dimension, the corresponding indicator data of the vehicle door during the opening and closing process can be obtained through a force sensor; for the indicator data of the visual dimension, a high-speed camera can be used to shoot the movement of the window corner and the rearview mirror during the door opening and closing process, and then the video data can be analyzed to obtain the corresponding indicator data.

[0080] In some embodiments, the indicator data of the vehicle's door opening and closing operations in different perception dimensions are obtained based on simulation.

[0081] S102. When the target index data of the target perception dimension does not reach a first preset standard value, obtain index data of vehicle components corresponding to the target perception dimension.

[0082] Among them, the first preset standard value is the value at which the target data of the target perception dimension reaches the standard. The specific value is determined according to the actual situation, and this application does not limit it.

[0083] The target perception dimension is any one or more perception dimensions among a plurality of different perception dimensions.

[0084] Among them, the above-mentioned target indicator data is any one or more indicator data among multiple indicator data of target perception dimensions.

[0085] For example, if the target index data of the auditory dimension does not reach the preset standard value, the target perception dimension is the auditory dimension, and it is necessary to obtain the index data of the vehicle components corresponding to the auditory dimension; if the target index data of the tactile dimension and the visual dimension do not reach the preset standard value, the target perception dimension is the tactile dimension and the visual dimension, and it is necessary to obtain the index data of the vehicle components corresponding to the tactile dimension and the visual dimension.

[0086] In some embodiments, the components of the vehicle corresponding to the auditory dimension include at least one of the following: vehicle body, door, door lock assembly, pressure relief valve assembly, water-cut sealing strip, glass sealing strip, door interior panel sound-absorbing cotton, inner front panel sound insulation pad, carpet, and ceiling.

[0087] Correspondingly, the index data of the vehicle components corresponding to the auditory dimension are shown in Table 1.

[0088] Table 1

[0089]

[0090]

[0091] In some embodiments, the components of the vehicle corresponding to the tactile dimension include at least one of the following: a door hinge, a door sealing strip, a door opening sealing strip, a door limiter, a door buffer block, and a door lock assembly.

[0092] Correspondingly, the index data of the vehicle components corresponding to the tactile dimension are shown in Table 2.

[0093] Table 2

[0094]

[0095]

[0096] In some embodiments, the components corresponding to the vehicle in the visual dimension include at least one of the following: a door window frame, a door assembly, and an exterior rearview mirror assembly.

[0097] Correspondingly, the index data of the vehicle components corresponding to the visual dimension are shown in Table 3.

[0098] Table 3

[0099]

[0100] S103. Optimize the door closing quality of the vehicle based on the index data of the vehicle components corresponding to the target perception dimension.

[0101] In some embodiments, it is first determined whether the index data of the vehicle components corresponding to the target perception dimension are within the preset standard value range, and the components whose index data are not within the preset standard value range are optimized and adjusted one by one to make the index data reach the preset standard value range.

[0102] In some embodiments, the optimization of the index data of the vehicle components can be performed in the following aspects: material selection of the components, structural design of the components, manufacturing process of the components, etc.

[0103] It's important to note that door design and manufacturing processes may differ across different vehicle models, leading to variations in door opening and closing quality. For example, luxury models may prioritize sealing performance and hinge design, while economy models may be relatively simple in these areas. When optimizing, it's necessary to develop a tailored optimization plan based on the characteristics of each vehicle model. Furthermore, the age of the vehicle can also impact door opening and closing quality. As a vehicle ages, door components may experience wear and aging, leading to a decline in door opening and closing quality. When optimizing, it's also important to consider the impact of vehicle age and develop appropriate optimization measures.

[0104] It can be understood that the vehicle door opening and closing quality optimization method provided by the present application obtains index data of different perception dimensions of hearing, touch and vision. When the index data of different perception dimensions do not reach the preset standard value, the index data of the vehicle components corresponding to the corresponding perception dimension are obtained, and then the vehicle door opening and closing straightness is optimized based on the index data of the vehicle components in the target perception dimension. This method can comprehensively evaluate and optimize the vehicle door opening and closing quality by integrating factors of multiple perception dimensions to improve the vehicle door opening and closing quality.

[0105] In some embodiments, as Figure 3As shown, the above step S101 can be specifically implemented through the following steps S1011-S1012:

[0106] S1011. Obtain scores of the vehicle's door opening and closing operations in different perception dimensions.

[0107] Among them, the above scores are used to reflect the user's satisfaction with the vehicle's door opening and closing operations in different perceptual dimensions.

[0108] In some embodiments, the above-mentioned users include professional evaluators and ordinary users.

[0109] In some embodiments, the professional evaluators may be engineers or technicians with extensive experience in vehicle evaluation and are familiar with the scoring criteria for vehicle door opening and closing quality, and are able to ensure objectivity and consistency in scoring.

[0110] In some embodiments, the selection of ordinary users can be classified and determined according to different demand groups. For example, the classification of different demand groups includes home users, business users, young users, and elderly users.

[0111] In some embodiments, the scores of the vehicle's door opening and closing operations in different perception dimensions can be determined based on the average of the scores of multiple users, or by setting certain weights for different users and then taking a weighted average of the scores of multiple users.

[0112] In some embodiments, the door opening and closing operations of the vehicle include door opening and closing operations on the front door and the rear door of the vehicle.

[0113] In some embodiments, the door opening and closing operations described above may be door opening and closing operations performed on an actual vehicle.

[0114] For example, in terms of hearing, there are two ways to obtain user ratings of door opening and closing operations. One method is to directly collect sound samples of the door closing, using professional recording equipment to record the vehicle door closing, and then play these sound samples to the user, allowing the user to rate the sound based on what they hear. The other method is to have the user listen to the actual sound of the vehicle door closing, feel the door closing sound in person next to the vehicle, and then rate it based on their own perception.

[0115] In other embodiments, the door opening and closing operations may be simulated door opening and closing operations performed by simulation software based on a series of basic data and specifications determined during the vehicle design phase.

[0116] For example, a car door model is established using professional simulation software to simulate the kinematics and dynamics of the door closing process, as well as the stress and deformation of the seal, and the door opening and closing operations under different conditions are simulated by adjusting the simulation parameters.

[0117] In some embodiments, when performing scoring, it is necessary to control some variables, such as the test environment, vehicle status, etc. For example, the test environment should be kept quiet to avoid external noise interference; the vehicle status should remain consistent, such as the cleanliness of the doors and the closed status of the windows.

[0118] S1012. When the scores of any one or more perception dimensions do not reach the second preset standard value, obtain index data of the vehicle's door opening and closing operations in different perception dimensions.

[0119] Among them, the second preset standard value is the value at which the score of any one or more perception dimensions reaches the standard. The specific value is determined according to the actual situation and this application does not impose any limitation on this.

[0120] For example, the vehicle's door opening and closing operation scores in different perception dimensions are set to a maximum score of 10 points, with a second preset standard value of 7.5 points. When the score is 7.5 points or above, it is determined that the user is relatively satisfied with the vehicle's door opening and closing quality and no further optimization is required. Otherwise, it is determined that the user believes that the vehicle's door opening and closing quality is poor and further optimization is required. The above-mentioned scoring regulations in this application can be determined based on actual circumstances and are not specifically limited.

[0121] The index data of the door opening and closing operations of the above-mentioned vehicle in different perception dimensions have been introduced in step S101 and will not be repeated here.

[0122] It is understood that the vehicle door opening and closing quality optimization method provided in this application first obtains scores for the vehicle's door opening and closing operations across different perceptual dimensions. Then, if the scores for any one or more of these perceptual dimensions fail to meet a second preset standard value, further indicative data for the vehicle's door opening and closing operations across these different perceptual dimensions is obtained. The introduction of these scores more intuitively reflects user satisfaction with the vehicle's door opening and closing operations, further refining the conditions and scope for optimizing vehicle door opening and closing quality, and improving the targetedness and accuracy of the optimization.

[0123] Figure 4 FIG. 1 is a flow chart showing a method for optimizing vehicle door opening and closing quality according to an exemplary embodiment. Figure 4 As shown, the above S103 can be specifically implemented as the following steps:

[0124] S1031. Obtain vehicle manufacturing and assembly index data.

[0125] Among them, the manufacturing and assembly index data of the above-mentioned vehicle represent the manufacturing accuracy and assembly quality of the vehicle doors and related components.

[0126] In some embodiments, the manufacturing and assembly index data of the above-mentioned vehicle include at least one of the following: door hinge nut hole accuracy, door lock nut hole accuracy, door sealing surface accuracy, door opening stop sealing surface accuracy, door hinge inclination and coaxiality, door and body surface difference and gap, door opening sealing gap tolerance.

[0127] S1032. When the manufacturing and assembly index data of the vehicle does not reach the third preset standard value, optimize the door opening and closing quality of the vehicle based on the index data of the vehicle parts corresponding to the target perception dimension and the manufacturing and assembly index data of the vehicle.

[0128] Among them, the third preset standard value is the value at which the preset vehicle manufacturing and assembly index data meets the standard. The specific value is determined according to actual conditions and is not limited in this application.

[0129] Exemplarily, a third preset standard value is set for the manufacturing and assembly index data of the vehicle. When the corresponding index data does not reach the third preset standard value, it is determined that the corresponding manufacturing and assembly index needs to be optimized and adjusted.

[0130] For example, in terms of the door hinge nut hole accuracy, door lock nut hole accuracy, door sealing surface accuracy, and door opening stop sealing surface accuracy, if the corresponding index data do not reach the preset standard values, the index can be optimized by improving the accuracy of the processing equipment or improving the assembly process, so that the corresponding index data reach the preset standard values, thereby optimizing the vehicle's door opening and closing quality; and in terms of the door hinge inclination and coaxiality, the surface difference and gap between the door and the body, and the door opening sealing gap tolerance, if the corresponding index data do not reach the preset standard values, the index can be optimized by adjusting the assembly position of the door or the body structure, so that the corresponding index data reach the preset standard values, thereby optimizing the vehicle's door opening and closing quality.

[0131] For ease of understanding, the vehicle door opening and closing quality optimization method provided by this application is introduced below through a complete embodiment.

[0132] Figure 5 FIG. 1 is a flow chart showing a method for optimizing vehicle door opening and closing quality according to an exemplary embodiment. Figure 5 As shown, the vehicle door opening and closing quality optimization method includes the following steps:

[0133] S301. Obtain scores of vehicle door opening and closing operations in different perception dimensions.

[0134] Among them, the perception dimension includes at least one of the following: auditory dimension, tactile dimension, and visual dimension.

[0135] S302: When the scores of any one or more perception dimensions do not reach a second preset standard value, obtain index data of the vehicle door opening and closing operations in different perception dimensions.

[0136] In some embodiments, as Figure 5 As shown, when the scores of all perception dimensions reach the second preset standard value, the process ends.

[0137] S303. When the target index data of the target perception dimension does not reach the first preset standard value, obtain index data of the vehicle components corresponding to the target perception dimension.

[0138] In some embodiments, as Figure 5 As shown, when the target indicator data of the target perception dimension reaches the first preset standard value, step S305 is directly executed.

[0139] S304: Optimize the door closing quality of the vehicle based on the index data of the vehicle components corresponding to the target perception dimension.

[0140] S305: Acquire vehicle manufacturing and assembly index data.

[0141] S306 : When the manufacturing and assembly index data of the vehicle does not reach a third preset standard value, optimizing the door opening and closing quality of the vehicle based on the manufacturing and assembly index data of the vehicle.

[0142] In some embodiments, as Figure 5 As shown, when the manufacturing and assembly index data of the vehicle reaches the third preset standard value, the process returns to step S301.

[0143] After completing the above steps S301-S306, Figure 5 As shown, return to step S301 and obtain the scores of the vehicle's door opening and closing operations in different perception dimensions again. If the scores obtained again still do not reach the preset standard value, repeat steps S302 to S306 for further optimization and adjustment until the indicator data and scores reach the preset standard value.

[0144] It can be understood that the vehicle door opening and closing quality optimization method provided in the embodiment of the present application obtains index data (including scores and specific indicators) of the vehicle door opening and closing in different perception dimensions such as hearing, touch and vision, and obtains index data of corresponding components when the index data does not reach the preset standard value, manufacturing and assembly index data, and optimizes based on this. This method integrates multi-perception dimension factors, comprehensively evaluates and improves the vehicle door opening and closing quality from the aspects of vehicle components and manufacturing and assembly accuracy, etc., has rich optimization methods, flexible data acquisition, and is highly targeted and accurate in optimizing the quality of vehicle door opening and closing.

[0145] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. In order to achieve the above functions, the vehicle door opening and closing quality optimization device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0146] In the embodiments of the present application, the vehicle door opening and closing quality optimization device can be divided into functional modules according to the above method. For example, the vehicle door opening and closing quality optimization device can include functional modules corresponding to the functional divisions, or two or more functions can be integrated into a single processing module. The above-mentioned integrated modules can be implemented in the form of hardware or software functional modules. It should be noted that the module division in the embodiments of the present application is illustrative and is merely a logical functional division. In actual implementation, other division methods may be used.

[0147] Figure 6 FIG. 1 is a block diagram of a vehicle door opening and closing quality optimization device according to an exemplary embodiment. Figure 6 As shown, the vehicle door opening and closing quality optimization device 500 includes: an acquisition module 501 and an optimization module 502.

[0148] The acquisition module 501 is used to obtain indicator data of the vehicle's door opening and closing operations in different perception dimensions; wherein the different perception dimensions include at least one of the following: auditory dimension, tactile dimension, and visual dimension.

[0149] The acquisition module 501 is also used to obtain the index data of the vehicle components corresponding to the target perception dimension when the target index data of the target perception dimension does not reach the first preset standard value; wherein the target perception dimension is any one or more perception dimensions among multiple different perception dimensions; the target index data is any one or more index data among multiple index data of the target perception dimension.

[0150] The optimization module 502 is used to optimize the door opening and closing quality of the vehicle based on the index data of the vehicle components corresponding to the target perception dimension.

[0151] In one possible implementation, the acquisition module 501 is specifically used to obtain scores of the vehicle's door opening and closing operations in different perception dimensions; the scores are used to reflect the user's satisfaction with the vehicle's door opening and closing operations in different perception dimensions; when the scores of any one or more perception dimensions do not reach the second preset standard value, the indicator data of the vehicle's door opening and closing operations in different perception dimensions are obtained.

[0152] In one possible implementation, the acquisition module 501 is specifically used to acquire manufacturing and assembly index data of the vehicle; the manufacturing and assembly index data characterize the manufacturing accuracy and assembly quality of the vehicle door; the optimization module 502 is specifically used to optimize the vehicle's door opening and closing quality based on the index data of the vehicle's parts corresponding to the target perception dimension and the vehicle's manufacturing and assembly index data when the vehicle's manufacturing and assembly index data does not reach a third preset standard value.

[0153] In a possible implementation, the indicator data of the auditory dimension includes at least one of the following: ear pressure in the vehicle when the door is closed, loudness of the door opening sound, loudness of the door closing sound, and sharpness of the door closing sound.

[0154] In a possible implementation, the indicator data of the tactile dimension includes at least one of the following: unlocking force, opening force, minimum door closing speed, and minimum door closing energy.

[0155] In a possible implementation, the indicator data of the visual dimension includes at least one of the following: window angle decay time, rearview mirror vibration decay time.

[0156] In a possible embodiment, the components corresponding to the auditory dimension include at least one of the following: vehicle body, vehicle door, door lock assembly, pressure relief valve assembly, water-cut sealing strip, glass sealing strip, door interior panel sound-absorbing cotton, inner front panel sound insulation pad, carpet, and ceiling.

[0157] In a possible implementation, the components corresponding to the tactile dimension include at least one of the following: a door hinge, a door sealing strip, a door opening sealing strip, a door limiter, a door buffer block, and a door lock assembly.

[0158] In a possible implementation, the components corresponding to the visual dimension include at least one of the following: a door window frame, a door assembly, and an exterior rearview mirror assembly.

[0159] In a possible implementation, the index data of the vehicle's door opening and closing operations in different perception dimensions are obtained based on measurements by a measuring device; or, the index data of the vehicle's door opening and closing operations in different perception dimensions are obtained based on simulation.

[0160] Figure 7 FIG. 1 is a block diagram of an electronic device according to an exemplary embodiment. Figure 7As shown, the electronic device 700 includes but is not limited to: a processor 701 and a memory 702 .

[0161] The memory 702 is used to store executable instructions of the processor 701. It is understandable that the processor 701 is configured to execute instructions to implement the vehicle door opening and closing quality optimization method in the above embodiment.

[0162] It should be noted that those skilled in the art can understand that Figure 7 The structure of the electronic device 700 shown in FIG. 7 does not limit the electronic device 700. The electronic device 700 may include Figure 7 More or fewer components may be shown, or certain components may be combined, or the components may be arranged differently.

[0163] The processor 701 is the control center of the electronic device 700. It connects the various components of the electronic device 700 using various interfaces and lines. By running or executing software programs and / or modules stored in the memory 702 and accessing data stored in the memory 702, it performs various functions of the electronic device 700 and processes data, thereby monitoring the electronic device 700 as a whole. The processor 701 may include one or more processing units. Optionally, the processor 701 may integrate an application processor and a modem processor, wherein the application processor primarily processes the operating system, user interface, and application programs, and the modem processor primarily handles wireless communications. It is understood that the modem processor may not be integrated into the processor 701.

[0164] The memory 702 can be used to store software programs and various data. The memory 702 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and application programs required by at least one functional module (such as a determination unit, a processing unit, etc.). Furthermore, the memory 702 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0165] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory 702 including instructions. The above instructions can be executed by the processor 701 of the electronic device 700 to implement the vehicle door opening and closing quality optimization method in the above embodiment.

[0166] In actual implementation, Figure 6 The functions of the acquisition module 501 and the optimization module 502 can be obtained by Figure 7 The processor 701 in the embodiment calls the computer program stored in the memory 702. The specific execution process can be referred to the description of the method part in the above embodiment, which will not be repeated here.

[0167] Optionally, the computer-readable storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0168] In an exemplary embodiment, the present application also provides a computer program product comprising one or more instructions, which can be executed by the processor 701 of the electronic device 700 to implement the vehicle door opening and closing quality optimization method in the above embodiment.

[0169] It should be noted that when the instructions in the above-mentioned computer-readable storage medium or one or more instructions in the computer program product are executed by the processor of the electronic device, the various processes of the above-mentioned method embodiment are implemented and the same technical effect as the above-mentioned method can be achieved. To avoid repetition, they will not be repeated here.

[0170] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete the full classification or partial functions described above.

[0171] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0172] The units described as separate components may or may not be physically separate, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0173] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0174] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or the full classification part or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to execute the full classification part or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard drives, ROM, RAM, magnetic disks or optical disks.

[0175] The above are only specific embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any changes or replacements within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for optimizing the quality of vehicle door opening and closing, characterized in that: The method comprises: Obtaining indicator data of the vehicle's door opening and closing operations in different perception dimensions; wherein the different perception dimensions include at least one of the following: an auditory dimension, a tactile dimension, and a visual dimension; When the target index data of the target perception dimension does not reach the first preset standard value, obtaining index data of the vehicle components corresponding to the target perception dimension; wherein the target perception dimension is any one or more perception dimensions among the multiple different perception dimensions; and the target index data is any one or more index data among the multiple index data of the target perception dimension; The door closing quality of the vehicle is optimized based on the index data of the vehicle components corresponding to the target perception dimension.

2. The vehicle door opening and closing quality optimization method according to claim 1, characterized in that: The acquisition of indicator data of the vehicle door opening and closing operation in different perception dimensions includes: Obtaining scores of the vehicle's door opening and closing operations in different perception dimensions; the scores are used to reflect the user's satisfaction with the vehicle's door opening and closing operations in different perception dimensions; When the scores of any one or more perception dimensions do not reach the second preset standard value, index data of the vehicle's door opening and closing operations in different perception dimensions are obtained.

3. The vehicle door opening and closing quality optimization method according to claim 1, characterized in that: The optimizing the door closing quality of the vehicle based on the index data of the vehicle components corresponding to the target perception dimension includes: Acquiring manufacturing and assembly index data of the vehicle; the manufacturing and assembly index data characterizes the manufacturing accuracy and assembly quality of the vehicle door; When the manufacturing and assembly index data of the vehicle does not reach a third preset standard value, the door opening and closing quality of the vehicle is optimized based on the index data of the vehicle parts corresponding to the target perception dimension and the manufacturing and assembly index data of the vehicle.

4. The vehicle door opening and closing quality optimization method according to claim 1, characterized in that: The indicator data of the auditory dimension includes at least one of the following: ear pressure inside the car when the door is closed, loudness of the door opening sound, loudness of the door closing sound, and sharpness of the door closing sound.

5. The vehicle door opening and closing quality optimization method according to claim 1, characterized in that: The indicator data of the tactile dimension includes at least one of the following: unlocking force, opening force, minimum door closing speed, and minimum door closing energy.

6. The vehicle door opening and closing quality optimization method according to claim 1, characterized in that: The indicator data of the visual dimension includes at least one of the following: window angle decay time, rearview mirror vibration decay time.

7. The vehicle door opening and closing quality optimization method according to claim 1, characterized in that: The components corresponding to the auditory dimension include at least one of the following: vehicle body, vehicle door, door lock assembly, pressure relief valve assembly, water-cut sealing strip, glass sealing strip, door interior panel sound-absorbing cotton, inner front panel sound insulation pad, carpet, and ceiling.

8. The vehicle door opening and closing quality optimization method according to claim 1, characterized in that: The components corresponding to the tactile dimension include at least one of the following: a door hinge, a door sealing strip, a door opening sealing strip, a door limiter, a door buffer block, and a door lock assembly.

9. The vehicle door opening and closing quality optimization method according to claim 1, characterized in that: The components corresponding to the visual dimension include at least one of the following: a door window frame, a door assembly, and an exterior rearview mirror assembly.

10. The vehicle door opening and closing quality optimization method according to claim 1, characterized in that: The index data of the vehicle's door opening and closing operations in different perception dimensions are obtained based on measurements by a measuring device; or, the index data of the vehicle's door opening and closing operations in different perception dimensions are obtained based on simulation.

11. A vehicle door opening and closing quality optimization device, characterized in that: The device comprises: an acquisition module and an optimization module; The acquisition module is configured to acquire index data of the vehicle door opening and closing operation in different perception dimensions; wherein the different perception dimensions include at least one of the following: hearing, touch, and vision; The acquisition module is further configured to, when the target index data of the target perception dimension does not reach a first preset standard value, acquire index data of the vehicle components corresponding to the target perception dimension; wherein the target perception dimension is any one or more perception dimensions among the plurality of different perception dimensions; and the target index data is any one or more index data among the plurality of index data of the target perception dimension; The optimization module is used to optimize the door opening and closing quality of the vehicle based on the index data of the vehicle components corresponding to the target perception dimension.

12. An electronic device, characterized in that: include: processor and memory; The memory is used to store instructions executable by the processor; The processor is configured to execute the instructions to implement the vehicle door opening and closing quality optimization method according to any one of claims 1 to 10.

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