Vehicle-mounted display screen random vibration simulation method and device, terminal and storage medium

Abstract

The present application belongs to the field of automobile technology, and specifically relates to a vehicle-mounted display screen random vibration simulation method, device, terminal and storage medium. The method comprises the following steps: step one, arranging an acceleration sensor; step two, testing and processing an accelerator signal; step three, setting the production and format of an acceleration envelope signal; step four, modeling a vehicle-mounted display screen; step five, setting a modal analysis load step; step six, setting a load step based on modal result response analysis; and step seven, evaluating a simulation result. The present application verifies the random vibration strength of a vehicle-mounted display screen structure by applying an analysis means, and can perform corresponding verification before product development and mold opening, and can also consider relevant connection parts of an interior according to the situation to ensure the actual use state as much as possible.

Description

Technical Field

[0001] This invention belongs to the field of automotive technology, specifically a method, device, terminal, and storage medium for simulating random vibration of an in-vehicle display screen. Background Technology

[0002] In recent years, with the upgrading of electronic products, in-vehicle displays have become increasingly popular among users. In the cabins of different levels of passenger vehicles, the shape, number, placement and size of the displays have become more and more diverse, and the strength and performance of the display installation structure have also attracted the attention of manufacturers.

[0003] Impacts during vehicle operation are one of the main load-bearing forms for interior components. Given the large span and uncertain installation location of modern displays, it is imperative to examine the impact resistance of in-vehicle displays.

[0004] The bumps and vibrations experienced by a car during driving are one of the main forms of load on interior components. Given the large span and uncertain installation positions of modern displays, it is imperative to examine the random vibration intensity of in-vehicle displays. Traditional methods rely primarily on testing. However, due to development limitations, the fixed position of the in-vehicle display is constrained within a rigid fixture, which differs significantly from actual usage conditions. Summary of the Invention

[0005] This invention provides a method, device, terminal, and storage medium for simulating random vibration of vehicle-mounted displays. By applying analytical methods, it verifies the random vibration intensity of the vehicle-mounted display structure. This verification can be performed during the product development concept stage and before mold making. At the same time, it can take into account the connecting parts related to the interior as needed, ensuring the actual usage condition as much as possible, thus overcoming the shortcomings of existing vibration test verification methods.

[0006] The embodiments of the present invention are described below in conjunction with the accompanying drawings:

[0007] In a first aspect, embodiments of the present invention provide a method for simulating random vibration of an in-vehicle display screen, comprising the following steps:

[0008] Step 1: Deploy the accelerometer;

[0009] Step 2: Test and process the accelerator signal;

[0010] Step 3: Set the format and structure of the acceleration envelope signal;

[0011] Step 4: Model the in-vehicle display screen;

[0012] Step 5: Set the load step for modal analysis;

[0013] Step 6: Set the load step based on the response analysis of the modal results;

[0014] Step 7: Evaluate the simulation results.

[0015] Furthermore, the specific method for step one is as follows:

[0016] Based on the installation characteristics of the vehicle display screen, the corresponding environmental components of the vehicle body connected to the vehicle display screen are cut off, and the cut-off boundary is used as the research boundary; at the location of the cut-off boundary line, the acceleration sensor is arranged.

[0017] Furthermore, the specific method for step two is as follows:

[0018] 21) In accordance with product development requirements and relevant standards and specifications, collect acceleration signals based on actual road conditions;

[0019] 22) After deburring and trend term processing of all acceleration signals, each acceleration sensor is divided into three directions (X, Y, Z), and then converted into signals with the vertical axis in the unit of gravitational acceleration g and the horizontal axis in the unit of time s.

[0020] 23) For each acceleration signal, the time-domain history signal A(t) is converted into a frequency-domain power spectral density (PSD) curve. The vertical axis of the PSD curve is in units of spectral density g^2 / Hz, and the horizontal axis is in units of frequency Hz.

[0021] The autocorrelation function of A(t) is given by equation (1):

[0022]

[0023] The power spectral density of (t) is obtained by performing a Fourier transform on (1), which yields (2):

[0024] Furthermore, the specific method for step three is as follows:

[0025] 31) Superimpose all acceleration PSD signals in the same direction into the same graph and create PSD envelopes, with separate envelopes created for the X, Y, and Z directions; and set the definition to the ABQUS computing platform format. The PSD envelope load spectrum for each of the X, Y, and Z directions is for load processing of random response analysis of a single channel.

[0026] Among them, the load processing for random response analysis of a single channel refers to the fact that the model system has only one excitation point, and the only excitation point has only one direction of excitation load. The excitation load in one direction is the acceleration PSD signal, which is obtained by converting the standard-specified or collected acceleration time-domain signal, and the unit is uniformly g^2 / Hz.

[0027] 32) Unify the intercept boundary of the model system to a single excitation point, and calculate the random response analysis in the X, Y, and Z directions respectively. The signal used is the PSD signal. Apply the keywords *PSD-DEFINITION, TYPE=BASE, G=g as input preparation.

[0028] 33) Based on the calculation, if the required excitation spectra in the X, Y, and Z directions are the same, then the keyword definition is applied only once, and the same PSD definition can be referenced in the subsequent random response load steps in the three directions; if the required excitation spectra in the X, Y, and Z directions are not the same, then the keywords are applied to define them separately, and the "NAME=XX" card is used to distinguish them. The required excitation spectra in the subsequent random response load steps in the three directions can be referenced separately.

[0029] Furthermore, the specific method for step four is as follows:

[0030] 41) Before analysis, determine the connection characteristics of the vehicle display screen and the impact of the connected vehicle body parts in three directions, select and cut the boundary of the local model, and the cut boundary is the position of the acceleration sensor; after processing, save it separately to proceed to step 42); the distance L from the cut boundary to the edge of the vehicle display screen is greater than 100mm.

[0031] 42) The extracted geometric data saved in step 41) is imported into the Hypermesh software platform. Based on the ABAQUS template environment, different parts are meshed with different types of features and the models are connected.

[0032] 43) After the mesh is generated, set the parameters; assign different types of attributes to different types of element groups, that is, assign solid attributes to solid elements and shell attributes to shell elements; and assign material information to different parts according to the design parameters. The material only needs to reflect the linear elastic parameter characteristics, that is, the material characteristics include density, elastic modulus and Poisson's ratio.

[0033] 44) Model the environmental components.

[0034] Furthermore, the specific method for step five is as follows:

[0035] 51) Constrain the research boundary, i.e. the intercept boundary, extract the constraint modes of the overall display model according to the frequency range of the PSD signal, and output the modal stress results as the input for analysis; on the ABAQUS platform, use the keyword *FREQUENCY to define the load step;

[0036] 52) For the overall model constraint state of modal analysis, the truncation boundary of the model system is uniformly constrained; the keyword *boundary is used to define the constraint state.

[0037] 53) For the frequency extraction range of modal analysis, set it to 0 to 100 Hz, or use the frequency range covered by the PSD signal as the extraction range;

[0038] 54) For the output of modal results, the modal stress input is required as the subsequent input, and other output indicators are selected according to actual needs.

[0039] Furthermore, the specific method for step six is ​​as follows:

[0040] 61) Based on specific modal damping, set the frequency domain response analysis step, multiply the modal stress vector with the acceleration PSD envelope vector, and output the mises stress RMS results in the X, Y, and Z directions; apply the keyword *RANDOM RESPONSE to set the frequency range to be consistent with the PSD signal coverage range and modal extraction range.

[0041] 62) Introduce the excitation signal, referencing the load excitation spectrum defined by *PSD-DEFINITION according to the current load step requirements, apply *CORRELATION and set TYPE=CORRELATED to define the signal introduction settings;

[0042] 63) Set the excitation method as "base motion" and use the keyword *base motion to define the excitation information. Set the excitation type as acceleration, set the direction of the excitation, and associate the excitation signal.

[0043] 64) Set the output to the RMS value of Mises stress to obtain the response analysis results;

[0044] Among them, the load step of the random response analysis is set once for each of the three directions of X, Y and Z;

[0045] Furthermore, the specific method for step seven is as follows:

[0046] The random vibration intensity of the structure is evaluated by comparing the obtained Mies stress RMS results with the target value.

[0047] The front and rear shells, other plastic structures, and metal sheet metal support structures are evaluated. If the RMS value of the maximum Mises stress in the X, Y, and Z directions is less than 0.4 times the material yield strength, the structure is considered qualified.

[0048] Secondly, embodiments of the present invention also provide a random vibration simulation device for an in-vehicle display screen, comprising:

[0049] The module is used to arrange the acceleration sensors;

[0050] The testing and processing module is used to test and process accelerator signals;

[0051] The first setting module is used to set the generation and format of the acceleration envelope signal;

[0052] The modeling module is used to model the in-vehicle display screen;

[0053] The second setting module is used to set the load step for modal analysis;

[0054] The third setting module is used to set the load step based on the response analysis of the modal results;

[0055] The evaluation module is used to evaluate the simulation results.

[0056] Thirdly, a terminal is provided, including:

[0057] One or more processors;

[0058] Memory for storing the one or more processor-executable instructions;

[0059] Wherein, the one or more processors are configured as follows:

[0060] Perform the method described in the first aspect of the embodiments of the present invention.

[0061] Fourthly, a non-transitory computer-readable storage medium is provided, wherein when instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to perform the method described in the first aspect of the present invention.

[0062] Fifthly, an application product is provided, which, when running on a terminal, causes the terminal to execute the method described in the first aspect of the present invention.

[0063] The beneficial effects of this invention are as follows:

[0064] This invention verifies the random vibration intensity of the vehicle display screen structure through application analysis, which can be performed during the product development concept stage and before mold making. At the same time, it can take into account the connecting parts related to the interior as needed, and ensure the actual use condition as much as possible, thus overcoming the shortcomings of existing vibration test verification methods. Attached Figure Description

[0065] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0066] Figure 1 This is a flowchart of a random vibration simulation method for an in-vehicle display screen according to the present invention;

[0067] Figure 2 This is a schematic diagram for defining the boundary.

[0068] Figure 3 This is a schematic diagram of the conversion;

[0069] Figure 4 This is a schematic diagram of the PDS envelope;

[0070] Figure 5 A schematic diagram illustrating the setting of load steps for random response analysis;

[0071] Figure 6 This is a schematic diagram of the structure of a random vibration simulation device for an in-vehicle display screen according to the present invention;

[0072] Figure 7 This is a schematic block diagram of a terminal structure. Detailed Implementation

[0073] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0074] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0075] Example 1

[0076] Figure 1 This is a flowchart of a random vibration simulation method for an in-vehicle display screen provided in Embodiment 1 of the present invention. This embodiment is applicable to the random vibration simulation of an in-vehicle display screen. The method can be executed by an in-vehicle display screen random vibration simulation device in this embodiment of the present invention, which can be implemented in software and / or hardware.

[0077] A method for simulating random vibration of an in-vehicle display screen includes the following steps:

[0078] Step 1: Deploy the accelerometer;

[0079] Set the research boundary and place the required acceleration sensors along the boundary line as needed.

[0080] Based on the installation characteristics of in-vehicle displays, corresponding environmental components of the vehicle body connected to the displays are cropped out, and the cropped boundary is used as the research boundary to make the simulation results closer to the actual vehicle usage characteristics. Figure 2 As shown.

[0081] At the location where the boundary line is intercepted, the accelerometer is arranged according to the conditions.

[0082] The location and number of acceleration sensors are determined based on the conditions and there are no specific requirements. In principle, the more acceleration sensors there are and the denser their arrangement, the better.

[0083] Step 2: Test and process the accelerator signal;

[0084] Conduct vehicle road tests, collect acceleration signals, and convert the acceleration signals from the deployed sensors into acceleration PSD curves (X, Y, and Z directions).

[0085] 21) In accordance with product development requirements and relevant standards and specifications, collect acceleration signals based on actual road conditions;

[0086] 22) After deburring and removing trend terms, all acceleration signals from each acceleration sensor in the X, Y, and Z directions are converted into signals with gravitational acceleration g on the vertical axis and time s on the horizontal axis.

[0087] 23) For each acceleration signal, convert the time-domain history signal A(t) into a frequency-domain power spectral density (PSD) curve. The vertical axis of the PSD curve is in units of spectral density g^2 / Hz, and the horizontal axis is in units of frequency Hz. The conversion diagram is shown below. Figure 3 As shown.

[0088] The autocorrelation function of A(t) is given by equation (1):

[0089]

[0090] The power spectral density of A(t) is obtained by performing a Fourier transform on (1), which yields (2):

[0091]

[0092] Step 3: Set the format and structure of the acceleration envelope signal;

[0093] 31) Superimpose all acceleration PSD signals in the same direction onto the same graph and create a PSD envelope, with separate envelopes created for the X, Y, and Z directions, as shown below. Figure 4As shown; and the definition is set to the ABQUS computing platform format, the PSD envelope load spectrum of each of the three directions X, Y, and Z is for load processing of random response analysis of a single channel;

[0094] Among them, the load processing for random response analysis of a single channel refers to the fact that the model system has only one excitation point, and the only excitation point has only one direction of excitation load. The excitation load in one direction is the acceleration PSD signal, which is obtained by converting the standard-specified or collected acceleration time-domain signal, and the unit is uniformly g^2 / Hz.

[0095] 32) Unify the intercept boundary of the model system to a single excitation point, and calculate the random response analysis in the X, Y, and Z directions respectively. The signal used is the PSD signal. Apply the keywords *PSD-DEFINITION, TYPE=BASE, G=g as input preparation.

[0096] 33) Based on the calculation, if the required excitation spectra in the X, Y, and Z directions are the same, then the keyword definition is applied only once, and the same PSD definition can be referenced in the subsequent random response load steps in the three directions; if the required excitation spectra in the X, Y, and Z directions are not the same, then the keywords are applied to define them separately, and the "NAME=XX" card is used to distinguish them. The required excitation spectra in the subsequent random response load steps in the three directions can be referenced separately.

[0097] Step 4: Model the in-vehicle display screen;

[0098] The geometric data of the display screen and environmental components are extracted according to the research boundary, meshed, and the necessary parameters are set on the ABAQUS platform.

[0099] 41) Before analysis, determine the connection characteristics of the vehicle display screen and the impact of the connected vehicle body parts in three directions, select and cut the boundary of the local model, and the cut boundary is the position of the acceleration sensor; after processing, save it separately to proceed to step 42); the distance L from the cut boundary to the edge of the vehicle display screen is greater than 100mm.

[0100] 42) The extracted geometric data saved in step 41) is imported into the Hypermesh software platform. Based on the ABAQUS template environment, different parts are meshed with different types of features and the models are connected. For example, the glass cover, TFT module, and PCB assembly use C3D8 type hexahedral elements; the front and rear shells and other plastic structures use C3D4 type tetrahedral elements; the sheet metal bracket uses S3 or S4 type shell elements, etc.

[0101] 43) After the mesh is generated, set the parameters; assign different types of attributes to different types of unit groups, that is, assign solid attributes to solid units and shell attributes to shell units; and assign material information to different parts according to the design parameters. The material only needs to reflect the linear elastic parameter characteristics, that is, the material characteristics include density, elastic modulus and Poisson's ratio; if the display screen has a snap-fit ​​connection, assign snap-fit ​​spring attributes and snap-fit ​​linear stiffness value.

[0102] 44) Model the environmental components. There are no special requirements. In principle, the principle of minimizing the number of elements should be followed.

[0103] Step 5: Set the load step for modal analysis;

[0104] 51) Constrain the research boundary, i.e. the intercept boundary, extract the constraint modes of the overall display model according to the frequency range of the PSD signal, and output the modal stress results as the input for analysis; on the ABAQUS platform, use the keyword *FREQUENCY to define the load step;

[0105] 52) For the overall model constraint state of modal analysis, the truncation boundary of the model system is uniformly constrained; the keyword *boundary is used to define the constraint state.

[0106] 53) For the frequency extraction range of modal analysis, set it to 0 to 100 Hz, or use the frequency range covered by the PSD signal as the extraction range;

[0107] 54) For the output of modal results, the modal stress input is required as the subsequent input, and other output indicators are selected according to actual needs.

[0108] Step 6: Set the load step based on the response analysis of the modal results;

[0109] 61) Based on specific modal damping, set the frequency domain response analysis step, multiply the modal stress vector with the acceleration PSD envelope vector, and output the mises stress RMS results in the X, Y, and Z directions; apply the keyword *RANDOM RESPONSE to set the frequency range to be consistent with the PSD signal coverage range and modal extraction range.

[0110] 62) Introduce the excitation signal, referencing the load excitation spectrum defined by *PSD-DEFINITION according to the current load step requirements, apply *CORRELATION and set TYPE=CORRELATED to define the signal introduction settings;

[0111] 63) Set the excitation method as "base motion" and use the keyword *base motion to define the excitation information. Set the excitation type as acceleration, set the direction of the excitation, and associate the excitation signal.

[0112] 64) Set the output to the RMS value of Mises stress to obtain the response analysis results;

[0113] In this process, the load step for the random response analysis is set once for each of the three directions: X, Y, and Z. Figure 5 As shown.

[0114] Step 7: Evaluate the simulation results.

[0115] The random vibration intensity of the structure is evaluated by comparing the obtained Mies stress RMS results with the target value.

[0116] The front and rear shells, other plastic structures, and metal sheet support structures are evaluated. If the RMS value of the maximum Mises stress in the X, Y, and Z directions is less than 0.4 times the material yield strength, the structure is considered qualified (units directly connected to rigid coupling are not considered within the scope of the evaluation).

[0117] Example 2

[0118] See Figure 6 A random vibration simulation device for an in-vehicle display screen, characterized in that it comprises:

[0119] The module is used to arrange the acceleration sensors;

[0120] The testing and processing module is used to test and process accelerator signals;

[0121] The first setting module is used to set the generation and format of the acceleration envelope signal;

[0122] The modeling module is used to model the in-vehicle display screen;

[0123] The second setting module is used to set the load step for modal analysis;

[0124] The third setting module is used to set the load step based on the response analysis of the modal results;

[0125] The evaluation module is used to evaluate the simulation results.

[0126] Example 3

[0127] Figure 7This is a structural block diagram of a terminal provided in an embodiment of this application. The terminal can be the terminal in the above embodiments. The terminal 300 can be a portable mobile terminal, such as a smartphone or tablet computer. The terminal 300 may also be referred to as user equipment, portable terminal, or other names.

[0128] Typically, terminal 300 includes a processor 301 and a memory 302.

[0129] Processor 301 may include one or more processing cores, such as a quad-core processor or an octa-core processor. Processor 301 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 301 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 301 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 301 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0130] The memory 302 may include one or more computer-readable storage media, which may be tangible and non-transitory. The memory 302 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 302 are used to store at least one instruction, which is executed by the processor 301 to implement a random vibration simulation method for an in-vehicle display screen provided in this application.

[0131] In some embodiments, the terminal 300 may also optionally include: a peripheral device interface 303 and at least one peripheral device. Specifically, the peripheral device includes at least one of: a radio frequency circuit 304, a touch display screen 305, a camera 306, an audio circuit 307, a positioning component 308, and a power supply 309.

[0132] The peripheral device interface 303 can be used to connect at least one I / O (Input / Output) related peripheral device to the processor 301 and the memory 302. In some embodiments, the processor 301, memory 302, and peripheral device interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, memory 302, and peripheral device interface 303 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0133] The radio frequency (RF) circuit 304 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 304 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 304 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. Optionally, the RF circuit 304 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, etc. The RF circuit 304 can communicate with other terminals through at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: the World Wide Web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 304 may also include circuitry related to NFC (Near Field Communication), which is not limited in this application.

[0134] The touch display screen 305 is used to display a UI (User Interface). This UI may include graphics, text, icons, videos, and any combination thereof. The touch display screen 305 also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to the processor 301 for processing. The touch display screen 305 is used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one touch display screen 305, which is located on the front panel of the terminal 300; in other embodiments, there may be at least two touch display screens, respectively located on different surfaces of the terminal 300 or in a folded design; in still other embodiments, the touch display screen 305 may be a flexible display screen, located on a curved or folded surface of the terminal 300. Furthermore, the touch display screen 305 may be configured as a non-rectangular, irregular shape, i.e., a non-rectangular screen. The touch display screen 305 may be made of materials such as LCD (Liquid Crystal Display) or OLED (Organic Light-Emitting Diode).

[0135] Camera assembly 306 is used to acquire images or videos. Optionally, camera assembly 306 includes a front-facing camera and a rear-facing camera. Typically, the front-facing camera is used for video calls or selfies, and the rear-facing camera is used for taking photos or videos. In some embodiments, there are at least two rear-facing cameras, which are any one of a main camera, a depth-sensing camera, and a wide-angle camera, to achieve background blurring by fusion of the main camera and the depth-sensing camera, and panoramic shooting and VR (Virtual Reality) shooting by fusion of the main camera and the wide-angle camera. In some embodiments, camera assembly 306 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash is a combination of a warm light flash and a cool light flash, which can be used for light compensation at different color temperatures.

[0136] Audio circuit 307 provides an audio interface between the user and terminal 300. Audio circuit 307 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, converting the sound waves into electrical signals that are input to processor 301 for processing, or input to radio frequency circuit 304 for voice communication. For stereo sound acquisition or noise reduction purposes, multiple microphones may be used, each located at a different part of terminal 300. The microphone may also be an array microphone or an omnidirectional microphone. The speaker is used to convert electrical signals from processor 301 or radio frequency circuit 304 into sound waves. The speaker may be a conventional diaphragm speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can convert electrical signals not only into audible sound waves but also into inaudible sound waves for purposes such as distance measurement. In some embodiments, audio circuit 307 may also include a headphone jack.

[0137] The positioning component 308 is used to determine the current geographic location of the terminal 300 in order to enable navigation or LBS (Location Based Service). The positioning component 308 can be a positioning component based on the US GPS (Global Positioning System), China's BeiDou system, or Russia's Galileo system.

[0138] The power supply 309 is used to power the various components in the terminal 300. The power supply 309 can be AC ​​power, DC power, a disposable battery, or a rechargeable battery. When the power supply 309 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged via a wired connection, while a wireless rechargeable battery is a battery that is charged via a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0139] Those skilled in the art will understand that Figure 7 The structure shown does not constitute a limitation on terminal 300, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0140] Example 4

[0141] In an exemplary embodiment, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements a method for simulating random vibration of an in-vehicle display screen as provided in all embodiments of the present application.

[0142] Any combination of one or more computer-readable media may be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device.

[0143] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including—but not limited to—electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of transmitting, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0144] The program code contained on a computer-readable medium may be transmitted using any suitable medium, including—but not limited to—wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0145] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0146] Example 5

[0147] In an exemplary embodiment, an application product is also provided, including one or more instructions that can be executed by the processor 301 of the aforementioned device to complete the aforementioned method for simulating random vibration of an in-vehicle display screen.

[0148] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. It can be applied to various fields suitable for the invention. Further modifications can be readily made by those skilled in the art. Therefore, without departing from the general concept defined by the claims and their equivalents, the invention is not limited to the specific details and illustrations shown and described herein.

Claims

1. A method for simulating random vibration of a vehicle-mounted display screen, characterized in that, Includes the following steps: Step 1: Deploy the accelerometer; Step 2: Test and process the accelerator signal; Step 3: Set the format and structure of the acceleration envelope signal; Step 4: Model the in-vehicle display screen; Step 5: Set the load step for modal analysis; Step 6: Set the load step based on the response analysis of the modal results; Step 7: Evaluate the simulation results; The specific method for step one is as follows: Based on the installation characteristics of the vehicle display screen, the corresponding environmental components of the vehicle body connected to the vehicle display screen are cut off, and the cut-off boundary is used as the research boundary; at the location of the cut-off boundary line, the acceleration sensor is arranged. The specific method for step two is as follows: 21) In accordance with product development requirements and relevant standards and specifications, collect acceleration signals based on actual road conditions; 22) After deburring and trend term processing of all acceleration signals, each acceleration sensor is divided into three directions (X, Y, Z), and then converted into signals with the vertical axis in the unit of gravitational acceleration g and the horizontal axis in the unit of time s. 23) For each acceleration signal, the time-domain history signal A(t) is converted into a frequency-domain power spectral density (PSD) curve. The vertical axis of the PSD curve is in units of spectral density g^2 / Hz, and the horizontal axis is in units of frequency Hz. The autocorrelation function of the time-domain signal A(t) is given by equation (1): The power spectral density of A(t) is obtained by performing a Fourier transform on (1), which yields (2): The specific method for step three is as follows: 31) Superimpose all acceleration PSD signals in the same direction into the same graph and create PSD envelopes, with separate envelopes created for the X, Y, and Z directions; and set the definition to the ABQUS computing platform format. The PSD envelope load spectrum for each of the X, Y, and Z directions is for load processing of random response analysis of a single channel. Among them, the load processing for random response analysis of a single channel refers to the fact that the model system has only one excitation point, and the only excitation point has only one direction of excitation load. The excitation load in one direction is the acceleration PSD signal, which is obtained by converting the standard-specified or collected acceleration time-domain signal, and the unit is uniformly g^2 / Hz. 32) Unify the boundary of the model system to a single excitation point, and calculate the random response analysis in the X, Y, and Z directions respectively. The signal used is the PSD signal; apply *PSD-DEFINITION. TYPE = BASE, G = g keyword definitions, used for input preparation; 33) Based on the calculation, if the required excitation spectra in the X, Y, and Z directions are the same, then the keyword definition is applied only once, and the same PSD definition can be referenced in the subsequent random response load steps in the three directions; if the required excitation spectra in the X, Y, and Z directions are not the same, then the keywords are applied to define them separately, and the "NAME=XX" card is used to distinguish them. The required excitation spectra in the subsequent random response load steps in the three directions can be referenced separately. The specific method for step four is as follows: 41) Before analysis, determine the connection characteristics of the vehicle display screen and the impact of the connected vehicle body parts in three directions, select and cut the boundary of the local model, and the cut boundary is the position of the acceleration sensor; after processing, save it separately to proceed to step 42); the distance L from the cut boundary to the edge of the vehicle display screen is greater than 100mm. 42) The extracted geometric data saved in step 41) is imported into the Hypermesh software platform. Based on the ABAQUS template environment, different parts are meshed with different types of features and the models are connected. 43) After the mesh is generated, set the parameters; assign different types of attributes to different types of element groups, that is, assign solid attributes to solid elements and shell attributes to shell elements; and assign material information to different parts according to the design parameters. The material only needs to reflect the linear elastic parameter characteristics, that is, the material characteristics include density, elastic modulus and Poisson's ratio. 44) Model the environmental components; The specific method for step five is as follows: 51) Constrain the research boundary, i.e. the intercept boundary, extract the constraint modes of the overall display model according to the frequency range of the PSD signal, and output the modal stress results as the input for analysis; on the ABAQUS platform, use the keyword *FREQUENCY to define the load step; 52) For the overall model constraint state of modal analysis, the truncation boundary of the model system is uniformly constrained; the keyword *boundary is used to define the constraint state. 53) For the frequency extraction range of modal analysis, set it to 0 to 100 Hz, or use the frequency range covered by the PSD signal as the extraction range; 54) For the output of modal results, the modal stress input is required as the subsequent input, and other output indicators are selected according to actual needs; The specific method for step six is ​​as follows: 61) Based on specific modal damping, set the frequency domain response analysis step, multiply the modal stress vector with the acceleration PSD envelope vector, and output the mises stress RMS results in the X, Y, and Z directions; apply the keyword *RANDOM RESPONSE to set the frequency range to be consistent with the PSD signal coverage range and modal extraction range. 62) Introduce the excitation signal, referencing the load excitation spectrum defined by *PSD-DEFINITION according to the current load step requirements, apply *CORRELATION and set TYPE=CORRELATED to define the signal introduction settings; 63) Set the excitation method to "base motion" and use the keyword *base motion to define the excitation information. Set the excitation type to acceleration, set the direction of the excitation, and associate the excitation signal. 64) Set the output to the RMS value of Mises stress to obtain the response analysis results; Among them, the load step of the random response analysis is set once for each of the three directions of X, Y and Z; The specific method for step seven is as follows: The random vibration intensity of the structure is evaluated by comparing the obtained Mies stress RMS results with the target value. The front and rear shells, other plastic structures, and metal sheet metal support structures are evaluated. If the RMS value of the maximum Mises stress in the X, Y, and Z directions is less than 0.4 times the material yield strength, the structure is considered qualified.

2. The method for simulating random vibration of a vehicle-mounted display screen according to claim 1, implemented using a mechanical impact simulation device for a vehicle-mounted display screen, is characterized in that... include: The module is used to arrange the acceleration sensors; The testing and processing module is used to test and process accelerator signals; The first setting module is used to set the generation and format of the acceleration envelope signal; The modeling module is used to model the in-vehicle display screen; The second setting module is used to set the load step for modal analysis; The third setting module is used to set the load step based on the response analysis of the modal results; The evaluation module is used to evaluate the simulation results.

3. A terminal, characterized in that, include: One or more processors; Memory for storing the one or more processor-executable instructions; Wherein, the one or more processors are configured as follows: Perform the random vibration simulation method for an in-vehicle display screen as described in claim 1.

4. A non-transitory computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the terminal's processor, the terminal is able to execute the random vibration simulation method for an in-vehicle display screen as described in claim 1.

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