Speaker optimization method, device, electronic device, storage medium and program product

Abstract

The present application relates to a loudspeaker optimization method, device, electronic device, computer-readable storage medium and computer program product, which obtains initial vibration structure parameters based on a loudspeaker system, obtains a target correlation relationship based on the initial vibration structure parameters through a finite element model, and the target correlation relationship is used to represent the target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model, and the target correlation relationship is used to optimize the initial vibration structure parameters of the loudspeaker system. The present application can effectively improve the performance of the loudspeaker system.

Description

Technical Field

[0001] The present application relates to the field of vehicle control, and in particular to a speaker optimization method, device, electronic device, computer-readable storage medium, and computer program product. Background Art

[0002] The vibration system of a car speaker is composed of a folding ring, a diaphragm, a centering support, a dust cover, a voice coil, and a frame. For a speaker, electrical energy is not directly converted into sound energy. It must first be converted into mechanical energy, and then from mechanical energy into sound energy. The vibration system is the transition stage of energy conversion and the link between the electric field and the sound field. Therefore, it is very important to optimize the design of the vibration system structure.

[0003] The current common method is that engineers optimize the vibration system structure based on experience, and then verify it through sample preparation, assembly and measurement, but this cannot guarantee the performance of the speaker. Summary of the invention

[0004] The embodiments of the present application provide a speaker optimization method, device, electronic device, computer-readable storage medium and computer program product to effectively improve the speaker performance to at least partially solve the above-mentioned technical problems.

[0005] In order to achieve the above object, according to a first aspect of the present application, a speaker optimization method is provided, comprising:

[0006] Acquiring initial vibration structure parameters, wherein the initial vibration structure parameters are obtained based on a loudspeaker system;

[0007] Through the finite element model, a target association relationship is obtained according to the initial vibration structure parameters, and the target association relationship is used to represent the target association relationship between the voice coil displacement and the stiffness coefficient in the finite element model, and the target association relationship is used to optimize the initial vibration structure parameters of the speaker system.

[0008] Optionally, the method further includes:

[0009] Fitting the target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model into a polynomial curve;

[0010] The polynomial coefficients in the polynomial curve are extracted as performance characteristic parameters, and the performance characteristic parameters are used to optimize the initial vibration structure parameters of the speaker system.

[0011] Optionally, after extracting the polynomial coefficients in the polynomial curve as performance characteristic parameters, it includes:

[0012] According to the performance characteristic parameters and a preset expected performance threshold, the initial vibration structure parameters are optimized to obtain target vibration structure parameters of the speaker system.

[0013] Optionally, the vibration structure parameters of the speaker system include parameters of a centering support structure, a diaphragm structure, a folding ring structure and a dust cover structure;

[0014] The step of optimizing the initial vibration structure parameters according to the performance characteristic parameters to obtain target vibration structure parameters of the speaker system includes:

[0015] If the performance characteristic parameter is greater than a preset expected performance threshold, at least one of the centering support structure parameter, the diaphragm structure parameter, the folding ring structure parameter, and the dust cover structure parameter is adjusted to obtain a corresponding adjusted finite element model;

[0016] In response to a simulation event triggered by the adjusted finite element model, a corresponding new performance characteristic parameter is obtained;

[0017] Until the difference between the new performance characteristic parameter and the expected performance threshold is less than the preset difference threshold, the target vibration structure parameter is obtained.

[0018] Optionally, obtaining a target vibration structure parameter until the new performance characteristic parameter is less than or equal to the expected performance threshold comprises:

[0019] Acquire at least two performance characteristic parameters whose difference with the expected performance threshold is less than a preset difference threshold, and acquire the minimum performance characteristic parameter of the at least two performance characteristic parameters;

[0020] The vibration structure parameter corresponding to the minimum performance characteristic parameter is used as the target vibration structure parameter.

[0021] Optionally, obtaining the target association relationship according to the initial vibration structure parameters through the finite element model includes:

[0022] Performing finite element analysis on the finite element model to adjust displacement information of the voice coil in the finite element model;

[0023] Get the stiffness coefficient corresponding to each bit displacement information;

[0024] According to the multiple groups of displacement information and the corresponding stiffness coefficients, a target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model is obtained.

[0025] Optionally, the method further includes:

[0026] constructing an initial finite element model according to the initial vibration structure parameters;

[0027] Defining material properties in the initial finite element model according to preset material characteristic parameters, wherein the material characteristic parameters include material elastic modulus, material Poisson's ratio, material density, and system loss factor;

[0028] According to the preset material edge constraints, edge constraints are applied to the defined initial finite element model to obtain a finite element model, wherein the material edge constraints include the outer edge constraints of the fold ring and the outer edge constraints of the centering support of the loudspeaker system.

[0029] Optionally, after optimizing the initial vibration structure parameters according to the performance characteristic parameters and a preset expected performance threshold to obtain target vibration structure parameters of the speaker system, the method further comprises:

[0030] Obtaining a vehicle model corresponding to the target vibration structure parameter;

[0031] The vehicle model is associated with the target vibration structure parameter and stored to obtain a vibration structure database of the vehicle speaker system;

[0032] In response to the vibration structure parameter query operation of the loudspeaker system of the target vehicle, the vibration structure database is queried according to the target vehicle model of the target vehicle to obtain the optimal vibration structure parameters of the loudspeaker system in the target vehicle.

[0033] According to a second aspect of the present application, a speaker optimization device is provided, comprising:

[0034] A first acquisition module is used to acquire initial vibration structure parameters, where the initial vibration structure parameters are obtained based on a loudspeaker system;

[0035] The second acquisition module is used to obtain a target association relationship based on the initial vibration structure parameters through a finite element model, wherein the target association relationship is used to represent the target association relationship between the voice coil displacement and the stiffness coefficient in the finite element model, and the target association relationship is used to optimize the initial vibration structure parameters of the speaker system.

[0036] According to a third aspect of the present application, there is also provided an electronic device, which includes a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above-mentioned speaker optimization method.

[0037] According to a fourth aspect of the present application, a computer-readable storage medium is also provided, which includes a computer program. When the computer program is run on an electronic device, the computer program is used to enable the electronic device to perform the steps of the above-mentioned speaker optimization method.

[0038] According to the fifth aspect of the present application, a computer program product is also provided, comprising a computer program, wherein the computer program is stored in a computer-readable storage medium; when a processor of an electronic device reads the computer program from the computer-readable storage medium, the processor executes the computer program, so that the electronic device performs the steps of the above method.

[0039] The speaker optimization method, device, electronic device, computer-readable storage medium and computer program product of the embodiments of the present application can obtain initial vibration structural parameters based on the speaker system, and then can obtain the target correlation relationship used to represent the relationship between the voice coil displacement and the stiffness coefficient in the finite element model according to the initial vibration structural parameters through the finite element model, so that the initial vibration structural parameters of the speaker system can be optimized by using the target correlation relationship. It can be seen that in the present application, on the one hand, the target correlation relationship between the voice coil displacement and the stiffness coefficient can be used as the optimization target to optimize the vibration structural parameters of the speaker system, which can flexibly and reliably evaluate the advantages and disadvantages of the speaker system structure, effectively reduce the low-frequency distortion of the speaker, and improve the performance of the speaker; on the other hand, there is no need to use a real speaker for testing, which helps to reduce costs and speed up the testing progress and efficiency of the speaker.

[0040] Other features and advantages of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and those skilled in the art can obtain other drawings based on these drawings without creative work.

[0042] In order to more completely understand the present application and its beneficial effects, the following description will be given in conjunction with the accompanying drawings, wherein the same figure numbers represent the same parts in the following description.

[0043] Figure 1 It is a first schematic diagram of a two-dimensional structure of initial vibration structural parameters of a loudspeaker provided in the background technology of this application;

[0044] Figure 2 is a first schematic diagram of a speaker optimization process provided in an exemplary embodiment of the present application;

[0045] Figure 3 is a schematic diagram of a curve of the initial vibration structural parameter stiffness coefficient Kms provided in an exemplary embodiment of the present application;

[0046] Figure 4is a second schematic diagram of a two-dimensional structure of initial vibration structural parameters of a loudspeaker provided in an exemplary embodiment of the present application;

[0047] Figure 5 is a schematic diagram of an optimized target vibration structure parameter stiffness coefficient Kms curve provided in an exemplary embodiment of the present application;

[0048] Figure 6 is a second schematic diagram of a speaker optimization process provided in an exemplary embodiment of the present application;

[0049] Figure 7 is a schematic diagram of a speaker optimization device provided in an embodiment of the present application;

[0050] Figure 8 It is a schematic diagram of the structure of the vehicle provided in the embodiment of the present application. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0052] The vibration system of a car speaker is composed of a folding ring, a diaphragm, a centering support, a dust cover, a voice coil, a frame, etc. For the working mechanism of the speaker, its electrical energy is not directly converted into sound energy. It first needs to be converted into mechanical energy, and then from mechanical energy to sound energy. The vibration system of the speaker is the transition stage of energy conversion and the link between the electric field and the sound field. Therefore, optimizing the design of the vibration system structure is very important and critical to the performance of the speaker and the whole vehicle.

[0053] The common method currently used is for engineers to optimize the vibration system structure based on experience, and then verify it through sample preparation, assembly and measurement. This method has at least the following shortcomings:

[0054] (1) Since each design improvement requires repeated sampling, repeated assembly, and repeated measurement, the cycle is long, the cost is high, and the efficiency is low;

[0055] (2) Since changes in the size, structure, process, material, etc. of each component of the vibration system will cause changes in the measured value, the stability is poor;

[0056] (3) Making speaker samples requires mold making, which is relatively expensive.

[0057] Therefore, in the present application, a speaker optimization method, device, vehicle, computer-readable storage medium and computer program product are proposed. Compared with the traditional empirical method of reverse sampling, repeated assembly, repeated measurement, long cycle, high cost and low efficiency, the present application can use numerical simulation method to optimize the design of the vibration system structure of the car speaker, use finite element software to simulate and analyze the vibration system of the car speaker, and according to the analysis results, make structural improvements to the vibration system, and perform finite element analysis and optimization on the improved structure again until the expected goal is met. The optimization plan is obtained through simulation, and there is no need to make actual speaker samples, which helps to reduce costs, speed up the design progress of the speaker, and improve efficiency.

[0058] The speaker system in the present application may be a vehicle speaker system, and the vehicle may be a fuel vehicle, a plug-in hybrid vehicle, or a new energy vehicle, etc., which is not specifically limited in the present application. In addition, the speaker system in the present application may also be a speaker system installed on other equipment or devices, which is not specifically limited in the present application.

[0059] like Figure 1 As shown, the vehicle speaker system in this embodiment may at least include a voice coil 1, a frame 2, a centering support 3, a diaphragm 4, a dust cover 5, a folding ring 6 and other accessories.

[0060] On this basis, the speaker optimization method in the embodiment of the present application can be applied to an electronic device, which can be equipped with a speaker system, and the electronic device can be an audio device, a vehicle, etc., and each embodiment will be described in detail later using a vehicle as an example. Figure 2 As shown, the method may specifically include the following steps:

[0061] S10, obtaining initial vibration structure parameters, wherein the initial vibration structure parameters are obtained based on the speaker system;

[0062] In this embodiment, if Figure 1 As shown, the initial vibration structure parameters may include a voice coil 1 , a frame 2 , a centering support 3 , a diaphragm 4 , a dust cover 5 , and a folding ring 6 .

[0063] In a specific embodiment, the voice coil 1 is wound on the frame 2, the inner edge of the centering support 3 and the inner edge of the diaphragm 4 are bonded to the frame 2, and the centering support 3 is located between the voice coil 1 and the diaphragm 4; the bottom of the dust cover 5 is bonded to the diaphragm 4, and the outer edge of the diaphragm 4 is bonded to the inner edge of the folding ring 6; the outer edge of the folding ring 6 and the outer edge of the centering support 3 are bonded to the speaker bracket. Considering that the bracket only provides a fixing function, this embodiment can simplify the bracket structure (not shown in FIG. 1 ). Figure 1 (marked in the middle).

[0064] It should be noted that, in the present embodiment, the initial loudspeaker structure may be a two-dimensional or three-dimensional structure, and the initial loudspeaker structure may be understood as a loudspeaker structure to be optimized. At this time, the structural parameters of accessories such as the voice coil 1, the skeleton 2, the centering support 3, the diaphragm 4, the dust cover 5, and the folding ring 6 may need to be optimized, such as the height and diameter of the centering support and other structural parameters, so that the loudspeaker performance of the optimized loudspeaker system is significantly improved, for example, the nonlinear distortion of the low frequency in the optimized vibration system structure is effectively reduced.

[0065] S20, obtaining a target association relationship based on the initial vibration structure parameters through a finite element model, wherein the target association relationship is used to represent a target association relationship between the voice coil displacement and the stiffness coefficient in the finite element model, and the target association relationship is used to optimize the initial vibration structure parameters of the speaker system.

[0066] In this embodiment, after the vehicle obtains the initial vibration structure parameters, the target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model can be obtained according to the initial vibration structure parameters through the finite element model.

[0067] It should be noted that, in this embodiment, the step of establishing the finite element model may at least include setting material parameters, meshing, boundary conditions, loading, etc. This embodiment may adopt the existing finite element model building method, but it is worth noting that the finite element model building process in this embodiment needs to meet the following conditions:

[0068] 1) Material characteristic parameters may at least include: elastic modulus, Poisson's ratio, density, and isotropic structural loss factor;

[0069] 2) Set fixed constraints on the outer edge of the folding ring and the outer edge of the centering support piece.

[0070] Furthermore, after the vehicle constructs the finite element model corresponding to the speaker system, the user can actively trigger the simulation operation of the finite element model, or the vehicle can automatically trigger the simulation operation.

[0071] In this way, the vehicle can respond to the simulation operation triggered above, perform finite element simulation analysis on the constructed finite element model, and obtain the target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model.

[0072] It should be noted that, compared with the prior art in which the frequency response curve is used as the optimization index of the sound system, in this embodiment, the stiffness coefficient of the vibration system can be used as the optimization index.

[0073] Considering that the stiffness coefficient is an important physical parameter of the speaker quality, it has a great influence on the nonlinear distortion of the low frequency of the speaker unit, and determines the resonance frequency F0 of the speaker and the lower limit of the low frequency response. The structural change of the vibration system can be well reflected in the stiffness coefficient curve. Therefore, in this embodiment, the stiffness coefficient can be used as an optimization index of the speaker vibration system to effectively reduce the low frequency distortion of the speaker and improve the performance of the speaker.

[0074] In addition, it can be understood that when current passes through the voice coil, according to the Lorentz force law, the voice coil will be subjected to a force to move in the magnetic field, and the displacement of this movement is the voice coil displacement, and the target correlation relationship between the voice coil displacement and the stiffness coefficient has a significant impact on the performance of the speaker system, which is mainly reflected in the efficiency, distortion size, dynamic characteristics and transient response of the speaker. Therefore, in this embodiment, the target correlation relationship between the voice coil displacement and the stiffness coefficient can be set as the simulation output result of the finite element model, and the simulation output structure is used to optimize the above-mentioned initial vibration structure parameters to obtain the target vibration structure parameters corresponding to the vibration system.

[0075] In this embodiment, the target correlation relationship between the voice coil displacement and the stiffness coefficient can be specifically based on the functional relationship formed by taking the voice coil displacement as the independent variable and the stiffness coefficient as the dependent variable.

[0076] In another embodiment, after obtaining the target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model, the vehicle can optimize the above-mentioned initial vibration structural parameters of the speaker system according to the target correlation relationship, and finally obtain the target vibration structural parameters of the speaker system. For example, this embodiment can directly adjust the structural parameters of accessories such as the voice coil 1, skeleton 2, centering support plate 3, diaphragm 4, dust cover 5, folding ring 6 in the initial vibration structural parameters according to the output results of the finite element model. The obtained target vibration structural parameters effectively reduce the low-frequency distortion problem of the speaker and improve the working performance of the speaker. There is no need to use a real speaker for testing, which helps to reduce costs and speed up the testing progress and efficiency of the speaker.

[0077] Therefore, in the embodiment of the present application, by determining the initial vibration structure parameters of the speaker system, the finite element model corresponding to the speaker system can be determined according to the initial vibration structure parameters and the preset model parameters, and then the constructed finite element model can be subjected to finite element simulation analysis to obtain the target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model, and the above-mentioned initial vibration structure parameters of the speaker system can be optimized according to the target correlation relationship, and finally the target vibration structure parameters of the speaker system can be obtained. It can be seen that, on the one hand, since the stiffness coefficient has a great influence on the nonlinear distortion of the low frequency in the speaker system, and determines the lower limit of the resonant frequency and low frequency response of the speaker, therefore, in the embodiment of the present application, the target correlation relationship between the voice coil displacement and the stiffness coefficient can be used as the optimization target to optimize the vibration structure parameters of the speaker system, which can flexibly and reliably evaluate the advantages and disadvantages of the speaker system structure, effectively reduce the low frequency distortion of the speaker, and improve the performance of the speaker; on the other hand, the present application does not need to use a real speaker for testing, which helps to reduce costs and speed up the testing progress and efficiency of the speaker.

[0078] In one embodiment, the speaker optimization method in this embodiment further includes:

[0079] S30, fitting the target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model into a polynomial curve;

[0080] S40, extracting polynomial coefficients in the polynomial curve as performance characteristic parameters, wherein the performance characteristic parameters are used to optimize initial vibration structure parameters of the speaker system.

[0081] In this embodiment, after obtaining the target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model, the vehicle may first fit the target correlation relationship between the voice coil displacement and the stiffness coefficient to obtain a corresponding polynomial curve.

[0082] Specifically, for example, Figure 3 As shown, in this embodiment, according to the voice coil displacement x and the stiffness coefficient K The corresponding polynomial curve obtained by fitting the target association relationship between ms can be , where a, b, and c are constants, and there is no specific restriction on the values ​​of a, b, and c.

[0083] It can be understood that the above polynomial curve is only one possible implementation, and there are other polynomial curves, which are not listed here one by one.

[0084] Furthermore, the vehicle can extract the polynomial coefficients in the polynomial curve as performance characteristic parameters, so that the performance characteristic parameters can be used to optimize the initial vibration structure parameters of the speaker system.

[0085] Furthermore, after the above S40, the following steps may also be included:

[0086] S50, optimizing the initial vibration structure parameters according to the performance characteristic parameters and a preset expected performance threshold, to obtain target vibration structure parameters of the speaker system.

[0087] In this embodiment, after obtaining the performance characteristic parameters, the vehicle can optimize the above initial vibration structure parameters according to the performance characteristic parameters and a preset expected performance threshold until the target vibration structure parameters of the speaker system are obtained.

[0088] Specifically, for example, it can be understood that the ideal stiffness coefficient is a straight line, the flatter the better, that is, in the above polynomial curve, the smaller a is, the better, the smaller a is, the better the linearity of the vibration system is, and the lower the distortion of the speaker system is. In this embodiment, the polynomial curve of the initial vibration structure parameters can be as follows: Figure 3 As shown, the polynomial coefficient a=0.0705, but the expected expected performance threshold a can be improved to below 0.05. At this time, the performance characteristic parameters are greater than the preset expected performance threshold. Therefore, it is determined that the initial vibration structure parameters do not meet the expected goals and need to be optimized. Therefore, the vehicle can compare the performance characteristic parameters with the preset expected performance threshold, optimize the initial vibration structure parameters, and obtain the target vibration structure parameters of the speaker system.

[0089] Furthermore, the vibration structure parameters of the speaker system include parameters of the centering support structure, the diaphragm structure, the folding ring structure and the dust cover structure;

[0090] On this basis, in the above S50, "optimizing the initial vibration structure parameters according to the performance characteristic parameters and the preset expected performance threshold to obtain the target vibration structure parameters of the speaker system" may include:

[0091] S501, if the performance characteristic parameter is greater than a preset expected performance threshold, adjusting at least one of the centering support structure parameters, the diaphragm structure parameters, the folding ring structure parameters, and the dust cover structure parameters to obtain a corresponding adjusted finite element model;

[0092] S502, responding to a simulation event triggered by the adjusted finite element model to obtain corresponding new performance characteristic parameters;

[0093] S503: until the difference between the new performance characteristic parameter and the expected performance threshold is less than a preset difference threshold, a target vibration structure parameter is obtained.

[0094] According to the above description, if Figure 1As shown, the vibration structure parameters include accessories such as voice coil 1, skeleton 2, centering support 3, diaphragm 4, dust cover 5, folding ring 6, etc., and the structures of voice coil 1, skeleton 2, centering support 3, diaphragm 4, dust cover 5, folding ring 6 will affect the performance of the speaker system to a certain extent. Therefore, if the vehicle determines that the performance characteristic parameter is greater than the preset expected performance threshold, that is, the current speaker system performance needs to be optimized, then at least one of the centering support structure parameters, diaphragm structure parameters, folding ring structure parameters and dust cover structure parameters can be adjusted to obtain a corresponding adjusted finite element model.

[0095] Specifically, for example, in this embodiment, the shape of the centering support (to reduce the resistance to the movement of the voice coil while maintaining sufficient rigidity to prevent deformation), the thickness and rigidity of the diaphragm (affecting its frequency response and damping characteristics), the geometry of the folding ring, the shape and size of the dust cover, etc. can be adjusted. In addition, the corresponding materials of the voice coil, skeleton, centering support, diaphragm, dust cover, and folding ring can also be adjusted.

[0096] Through the above-adjusted vibration structure parameters, this embodiment can reconstruct a new finite element model.

[0097] Furthermore, the vehicle can respond to the simulation event triggered by the above-mentioned adjusted finite element model to obtain new performance characteristic parameters output by the finite element model.

[0098] The above steps are repeated until the new performance characteristic parameter is infinitely close to the expected performance threshold (that is, the difference between the new performance characteristic parameter and the expected performance threshold is less than the preset difference threshold), at which time the target vibration structure parameter can be obtained.

[0099] For example, in a specific embodiment, Figure 4 As shown in the figure, the shape of the centering support piece of the vibration system can be optimized. The specific steps are as follows:

[0100] (1) Define the optimization area and constraints of the centering support;

[0101] (2) The optimization goal is to minimize the difference between the stiffness coefficient of the vibration system and the stiffness coefficient of the ideal line;

[0102] (3) After iterative optimization of the finite element model until convergence, the structure of the adjusted centering support is obtained, such as Figure 4 Compared with the initial vibration structure parameters, the height of the adjusted centering support piece increased by 0.17mm and the diameter increased by 0.8mm.

[0103] like Figure 5 , the solid line plus the circular label is the optimized stiffness coefficient K ms(x) curve, you can see the optimized stiffness coefficient KThe a in the binomial equation of the ms(x) curve is 0.0196. Compared with before optimization, a is lower after optimization, and the stiffness coefficient K The ms(x) curve has been significantly improved, the stiffness coefficient curve after optimization is flatter than before optimization, and the structural distortion of the optimized vibration system has been effectively reduced.

[0104] Furthermore, in the above S503, “until the difference between the new performance characteristic parameter and the expected performance threshold is less than a preset difference threshold, and the target vibration structure parameter is obtained” may include:

[0105] Step a, obtaining at least two performance characteristic parameters whose difference with the expected performance threshold is less than a preset difference threshold, and obtaining the minimum performance characteristic parameter of the at least two performance characteristic parameters;

[0106] Step b: taking the vibration structure parameter corresponding to the minimum performance characteristic parameter as the target vibration structure parameter.

[0107] It should be noted that, in this embodiment, according to the above description, the shape of the centering support, the thickness and stiffness of the diaphragm, the geometric shape of the folding ring, the shape and size of the dust cover, etc. can be adjusted. In addition, the materials corresponding to the voice coil, skeleton, centering support, diaphragm, dust cover, and folding ring can also be adjusted to reconstruct a new finite element model. According to the target correlation relationship between the voice coil displacement and the stiffness coefficient output by the model, a polynomial curve is fitted. If the difference between the polynomial coefficient in the polynomial curve and the expected performance threshold is less than the preset difference threshold, the corresponding target vibration structure parameters can be obtained.

[0108] Through the above method, this embodiment can obtain multiple optimized vibration structure parameters.

[0109] In order to screen out the optimal vibration structure parameters of the vibration system, the difference between multiple performance characteristic parameters and the expected performance threshold can be compared with the size of the preset difference threshold, and multiple performance characteristic parameters whose differences with the expected performance threshold are less than the preset difference threshold are obtained, and then the smallest performance characteristic parameter among the multiple performance characteristic parameters can be obtained.

[0110] It can be understood that, according to the above description, in the above polynomial curve, the smaller a is, the better, and the smaller a is, the better the linearity of the vibration system is, and the lower the distortion of the sound system is. Therefore, in this embodiment, the vibration structure parameter corresponding to the minimum performance characteristic parameter can be selected as the target vibration structure parameter, so that the sound performance of the vibration system is optimal.

[0111] Furthermore, in the above S20, “obtaining a target association relationship according to the initial vibration structure parameters through a finite element model” may include:

[0112] S201, performing finite element analysis on the finite element model, and adjusting displacement information of the voice coil in the finite element model;

[0113] S202, obtaining a stiffness coefficient corresponding to each bit shift information;

[0114] S203, obtaining a target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model according to the multiple sets of displacement information and the corresponding stiffness coefficients.

[0115] According to the above description, when current passes through the voice coil, according to the Lorentz force law, the voice coil will be subjected to a force to move in the magnetic field. The displacement of this movement is the voice coil displacement. The target correlation relationship between the voice coil displacement and the stiffness coefficient has a significant impact on the performance of the speaker system, which is mainly reflected in the efficiency, distortion size, dynamic characteristics and transient response of the speaker. Therefore, in this embodiment, the target correlation relationship between the voice coil displacement and the stiffness coefficient can be set as the simulation output result of the finite element model, and the simulation output structure is used to optimize the above initial vibration structure parameters to obtain the target vibration structure parameters corresponding to the vibration system.

[0116] On this basis, this embodiment can obtain the stiffness coefficient corresponding to each displacement information, the stiffness coefficient corresponding to each position of the voice coil, and then determine the following according to multiple sets of displacement information and corresponding stiffness coefficients: Figure 3 The target correlation between the voice coil displacement and the stiffness coefficient (i.e., the stiffness coefficient curve) is shown.

[0117] Therefore, in this embodiment, the stiffness coefficient is used as an evaluation index for the performance of the speaker system. The stiffness coefficient has a great influence on the low-frequency nonlinear distortion of the speaker system, and determines the resonant frequency and the lower limit of the low-frequency response of the speaker. By adopting the target correlation relationship between the voice coil displacement and the stiffness coefficient as the optimization target to optimize the vibration structure parameters of the speaker system, the advantages and disadvantages of the speaker system structure can be flexibly and reliably evaluated, the low-frequency distortion of the speaker is effectively reduced, and the performance of the speaker is improved.

[0118] In one embodiment, the speaker optimization method in this embodiment further includes:

[0119] S60, constructing an initial finite element model according to the initial vibration structure parameters;

[0120] S70, defining material properties in the initial finite element model according to preset material characteristic parameters, wherein the material characteristic parameters include material elastic modulus, material Poisson's ratio, material density, and system loss factor;

[0121] S80, applying edge constraints to the defined initial finite element model according to preset material edge constraints to obtain a finite element model, wherein the material edge constraints include the outer edge constraints of the fold ring and the outer edge constraints of the centering support of the speaker system.

[0122] In this embodiment, according to the above description, the steps of the finite element model in this embodiment may at least include setting material parameters, meshing, boundary conditions, loading, etc. The following conditions need to be met during the construction of the finite element model in this embodiment:

[0123] 1) Material characteristic parameters may at least include: elastic modulus, Poisson's ratio, density, and isotropic structural loss factor;

[0124] 2) Set fixed constraints on the outer edge of the folding ring and the outer edge of the centering support piece.

[0125] On this basis, this embodiment provides a specific method for constructing a finite element model. First, an initial finite element model can be constructed according to the initial vibration structure parameters of the vibration system, and then the material properties in the above initial finite element model can be defined according to the material characteristic parameters, wherein the material characteristic parameters include but are not limited to the material elastic modulus, the material Poisson's ratio, the material density, and the system loss factor. Finally, according to the material edge constraints, the edge constraints can be applied to the defined initial finite element model to obtain a finite element model, wherein the material edge constraints include but are not limited to the outer edge constraints of the folding ring of the sound system and the outer edge constraints of the centering support.

[0126] In a specific embodiment, the finite element model in this embodiment can use the stiffness coefficient as the optimization objective function. In the small displacement section, the vibration system is modeled as a spring whose stiffness coefficient changes with the voice coil displacement, forming a motion equation:

[0127]

[0128] Thus, the stiffness coefficient ,in, F is the axial load, K ms(x) is the stiffness coefficient of the vibrating system and x is the axial displacement of the voice coil.

[0129] It is understood that the speaker uses a vibration system to place the voice coil in the center of the magnetic gap and generate a restoring force F , which makes the moving voice coil move towards the equilibrium position. The movement of the vibrating system is like an ordinary spring, with a stiffness coefficient of K ms is a curve that changes with the displacement of the voice coil. In the small displacement range, it has an almost linear relationship, and the stiffness coefficient K ms is basically unchanged, but in the case of larger displacement, the restoring force F of the vibration system is larger than that of the linear spring, and the stiffness coefficient Kms increases with the increase of voice coil displacement.

[0130] In another embodiment, the target function stiffness coefficient may be constructed by specifying a displacement of the voice coil and then parametrically scanning the voice coil displacement x, or by adding a body load to the voice coil and then parametrically scanning the axial load F, without specific limitation.

[0131] In general, if Figure 6 As shown, the speaker optimization method in this embodiment includes: obtaining initial vibration structure parameters; establishing a finite element model, performing finite element analysis, and obtaining a stiffness coefficient curve; taking the stiffness coefficient as the optimization target, analyzing whether the initial vibration structure parameters meet the expected targets; if not, adjusting the structure of the vibration system components, re-performing finite element analysis, comparing multiple solutions, and selecting the optimal vibration structure parameters.

[0132] Therefore, in this embodiment, by modeling the vibration system, the constructed finite element model can output the target correlation relationship between the voice coil displacement and the stiffness coefficient, which serves as a theoretical support for the optimization of the vibration structure parameters. This achieves fine adjustment of the vibration system structure, so that the optimized vibration structure parameters have the best sound performance and avoids low-frequency distortion problems.

[0133] In one embodiment, after the above S50, "optimizing the initial vibration structure parameters according to the performance characteristic parameters and the preset expected performance threshold to obtain the target vibration structure parameters of the speaker system", the following may also be included:

[0134] S90, obtaining a vehicle type corresponding to the target vibration structure parameter;

[0135] S100, storing the vehicle type in association with the target vibration structure parameter to obtain a vibration structure database of a vehicle speaker system;

[0136] S110, in response to a vibration structure parameter query operation for a speaker system of a target vehicle, query the vibration structure parameter data according to a target vehicle type of the target vehicle to obtain optimal vibration structure parameters of the speaker system in the target vehicle.

[0137] In this embodiment, in order to improve the performance optimization efficiency of the vehicle's speaker system, after determining the optimal target vibration structure parameters of the vehicle's speaker system, the vehicle model and the corresponding target vibration structure parameters can be associated and stored to form a vibration structure database of the vehicle's speaker system.

[0138] On this basis, in response to the vibration structure parameter query operation of the target vehicle sound system, the vibration structure database can be directly queried according to the target vehicle model to obtain the optimal vibration structure parameters of the vibration system of the target vehicle.

[0139] In another embodiment, if the vibration structure parameters corresponding to the target vehicle model are not found in the vibration structure database, the speaker optimization method in the above embodiment can be executed, and the obtained target vibration structure parameters can be associated with the target vehicle signal and stored in the vibration structure database to update and expand the vibration structure database.

[0140] Through the above-mentioned manner, this embodiment can take into account both the speaker system performance and the debugging performance, thereby reducing the speaker system testing cost.

[0141] This embodiment also provides a speaker optimization device, which can be integrated into a terminal medical device, for example, Figure 7 As shown, the speaker optimization device may include:

[0142] A first acquisition module 1001 is used to acquire initial vibration structure parameters, where the initial vibration structure parameters are obtained based on a loudspeaker system;

[0143] The second acquisition module 1002 is used to obtain a target association relationship based on the initial vibration structure parameters through a finite element model, wherein the target association relationship is used to represent the target association relationship between the voice coil displacement and the stiffness coefficient in the finite element model, and the target association relationship is used to optimize the initial vibration structure parameters of the speaker system.

[0144] Optionally, the speaker optimization device may further include:

[0145] A curve fitting module, used for fitting the target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model into a polynomial curve;

[0146] The extraction module is used to extract the polynomial coefficients in the polynomial curve as performance characteristic parameters, and the performance characteristic parameters are used to optimize the initial vibration structure parameters of the speaker system.

[0147] Optionally, the speaker optimization device may further include:

[0148] The optimization module is used to optimize the initial vibration structure parameters according to the performance characteristic parameters and the preset expected performance threshold value to obtain the target vibration structure parameters of the speaker system.

[0149] Optionally, the vibration structure parameters of the speaker system include parameters of a centering support structure, a diaphragm structure, a folding ring structure and a dust cover structure;

[0150] The optimization module is also used for:

[0151] If the performance characteristic parameter is greater than a preset expected performance threshold, at least one of the centering support structure parameter, the diaphragm structure parameter, the folding ring structure parameter, and the dust cover structure parameter is adjusted to obtain a corresponding adjusted finite element model;

[0152] In response to a simulation event triggered by the adjusted finite element model, a corresponding new performance characteristic parameter is obtained;

[0153] Until the difference between the new performance characteristic parameter and the expected performance threshold is less than the preset difference threshold, the target vibration structure parameter is obtained.

[0154] Optionally, the optimization module is further used to:

[0155] Acquire at least two performance characteristic parameters whose difference with the expected performance threshold is less than a preset difference threshold, and acquire the minimum performance characteristic parameter of the at least two performance characteristic parameters;

[0156] The vibration structure parameter corresponding to the minimum performance characteristic parameter is used as the target vibration structure parameter.

[0157] Optionally, the second acquisition module 1002 is further used to:

[0158] Performing finite element analysis on the finite element model to adjust displacement information of the voice coil in the finite element model;

[0159] Get the stiffness coefficient corresponding to each bit displacement information;

[0160] Targeted correlation between voice coil displacement and the stiffness coefficient.

[0161] Optionally, the speaker optimization device may further include:

[0162] A model building module, used to build an initial finite element model according to the initial vibration structure parameters;

[0163] A property definition module, used to define material properties in the initial finite element model according to the material characteristic parameters, wherein the material characteristic parameters include material elastic modulus, material Poisson's ratio, material density, and system loss factor;

[0164] The constraint applying module is used to apply edge constraints to the defined initial finite element model according to the material edge constraints to obtain a finite element model, wherein the material edge constraints include the outer edge constraints of the fold ring and the outer edge constraints of the centering support of the loudspeaker system.

[0165] Optionally, the speaker optimization device further includes:

[0166] A model acquisition module, used to acquire the vehicle model corresponding to the target vibration structure parameter;

[0167] An association storage module, used for associating and storing the vehicle model with the target vibration structure parameter to obtain a vibration structure database of the vehicle speaker system;

[0168] The query module is used to respond to the query operation of the vibration structure parameters of the loudspeaker system of the target vehicle, query the vibration structure parameter data according to the target vehicle model of the target vehicle, and obtain the optimal vibration structure parameters of the loudspeaker system in the target vehicle.

[0169] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0170] Correspondingly, an embodiment of the present application also provides an electronic device, which may be a vehicle, such as a fuel vehicle, a plug-in hybrid vehicle, or a new energy vehicle, etc., and the present application does not make any specific limitation on this.

[0171] like Figure 8 As shown, Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device 1100 includes a processor 1101 having one or more processing cores, a memory 1102 having one or more computer-readable storage media, and a computer program stored in the memory 1102 and executable on the processor. The processor 1101 is electrically connected to the memory 1102. It will be understood by those skilled in the art that the vehicle structure shown in the figure does not constitute a limitation on the vehicle, and may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0172] The processor 1101 is the control center of the electronic device 1100, and uses various interfaces and lines to connect various parts of the electronic device 1100, and executes various functions and processes data of the electronic device 1100 by running or loading software programs and / or units stored in the memory 1102, and calling data stored in the memory 1102, so as to monitor the electronic device 1100 as a whole. The processor 1101 can be a processor CPU, a graphics processor GPU, a network processor (Network Processor, NP), etc., and can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application.

[0173] In the embodiment of the present application, the processor 1101 in the electronic device 1100 will load instructions corresponding to the processes of one or more application programs into the memory 1102 according to the following steps, and the processor 1101 will run the application programs stored in the memory 1102 to implement various functions, such as:

[0174] Acquiring initial vibration structure parameters, wherein the initial vibration structure parameters are obtained based on a loudspeaker system;

[0175] Through the finite element model, a target association relationship is obtained according to the initial vibration structure parameters, and the target association relationship is used to represent the target association relationship between the voice coil displacement and the stiffness coefficient in the finite element model, and the target association relationship is used to optimize the initial vibration structure parameters of the speaker system.

[0176] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0177] Optional, such as Figure 8 As shown, the electronic device 1100 further includes: a touch screen 1103, a radio frequency circuit 1104, an audio circuit 1105, an input unit 1106, and a power supply 1107. The processor 1101 is electrically connected to the touch screen 1103, the radio frequency circuit 1104, the audio circuit 1105, the input unit 1106, and the power supply 1107, respectively. Those skilled in the art can understand that Figure 8 The vehicle structure shown in the figure does not constitute a limitation on the vehicle, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0178] The touch display screen 1103 can be used to display a graphical user interface and receive operation instructions generated by the user acting on the graphical user interface. The touch display screen 1103 may include a display panel and a touch panel. Among them, the display panel can be used to display information input by the user or information provided to the user and various graphical user interfaces of the vehicle, which can be composed of graphics, text, icons, videos and any combination thereof. Optionally, the display panel can be configured in the form of a liquid crystal display (LCD, Liquid Crystal Display), an organic light-emitting diode (OLED, Organic Light-Emitting Diode), etc. The touch panel can be used to collect user touch operations on or near it (such as operations performed by users using fingers, styluses, or any other suitable objects or accessories on or near the touch panel), and generate corresponding operation instructions, and the operation instructions execute corresponding programs. Optionally, the touch panel may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into the touch point coordinates, and then sends it to the processor 1101, and can receive the command sent by the processor 1101 and execute it. The touch panel can cover the display panel. When the touch panel detects a touch operation on or near it, it is transmitted to the processor 1101 to determine the type of touch event, and then the processor 1101 provides a corresponding visual output on the display panel according to the type of touch event. In an embodiment of the present application, the touch panel and the display panel can be integrated into the touch display screen 1103 to realize the input and output functions. However, in some embodiments, the touch panel and the touch panel can be used as two independent components to realize the input and output functions. That is, the touch display screen 1103 can also be used as a part of the input unit 1106 to realize the input function.

[0179] The RF circuit 1104 may be used to send and receive RF signals to establish wireless communication with network devices or other vehicles through wireless communication, and to send and receive signals with network devices or other vehicles.

[0180] The audio circuit 1105 can be used to provide an audio interface between the user and the vehicle through a speaker and a microphone. The audio circuit 1105 can transmit the electrical signal converted from the received audio data to the speaker, which is converted into a sound signal for output; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 1105 and converted into audio data, and then the audio data is output to the processor 1101 for processing, and then sent to another vehicle through the radio frequency circuit 1104, or the audio data is output to the memory 1102 for further processing. The audio circuit 1105 may also include an earplug jack to provide communication between an external headset and the vehicle.

[0181] The input unit 1106 may be configured to receive input numbers, character information, or user feature information (such as fingerprint, iris, facial information, etc.), and generate keyboard, mouse, joystick, optical, or trackball signal inputs related to user settings and function control.

[0182] The power supply 1107 is used to supply power to various components of the electronic device 1100. Optionally, the power supply 1107 can be logically connected to the processor 1101 through a power management device, so that the power management device can manage charging, discharging, power consumption and other functions. The power supply 1107 can also include one or more DC or AC power supplies, recharging devices, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components.

[0183] although Figure 8 Not shown, the electronic device 1100 may also include a camera, a sensor, a wireless fidelity module, a Bluetooth module, etc., which will not be described in detail here.

[0184] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0185] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0186] To this end, an embodiment of the present application provides a computer-readable storage medium, in which a plurality of computer programs are stored. The computer program can be loaded by a processor to execute any one of the speaker optimization methods provided in the embodiments of the present application. The computer program can execute the following steps of the speaker optimization method:

[0187] Acquiring initial vibration structure parameters, wherein the initial vibration structure parameters are obtained based on a loudspeaker system;

[0188] Through the finite element model, a target association relationship is obtained according to the initial vibration structure parameters, and the target association relationship is used to represent the target association relationship between the voice coil displacement and the stiffness coefficient in the finite element model, and the target association relationship is used to optimize the initial vibration structure parameters of the speaker system.

[0189] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0190] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0191] Since the computer program stored in the computer-readable storage medium can execute any one of the speaker optimization methods provided in the embodiments of the present application, the beneficial effects that can be achieved by any one of the speaker optimization methods provided in the embodiments of the present application can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0192] In the above-mentioned speaker optimization device, electronic device, computer-readable storage medium and computer program product, the description of each embodiment has its own emphasis. For parts not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process and beneficial effects of the above-described speaker optimization device, computer-readable storage medium, computer program product, electronic device and its corresponding units can refer to the description of the speaker optimization method in the above embodiment, and will not be repeated here.

[0193] The above is a detailed introduction to a speaker optimization method, device, electronic device, computer-readable storage medium and computer program product provided in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

[0194] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0195] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0196] The embodiments, implementation methods and related technical features of the present application can be combined and replaced with each other without conflict.

[0197] The above are only preferred embodiments of the present application and do not constitute any form of limitation to the present application. However, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present application without departing from the content of the technical solution of the present application are still within the scope of the technical solution of the present application.

Claims

1. A speaker optimization method, characterized in that: The method comprises: Acquiring initial vibration structure parameters, wherein the initial vibration structure parameters are obtained based on a loudspeaker system; Obtaining a target association relationship according to the initial vibration structure parameters through a finite element model, wherein the target association relationship is used to represent a target association relationship between a voice coil displacement and a stiffness coefficient in the finite element model, and the target association relationship is used to optimize the initial vibration structure parameters of the speaker system, wherein the initial vibration structure parameters include structural parameters corresponding to the voice coil, the skeleton, the centering support, the diaphragm, the dust cover, and the folding ring; The method further comprises: Fitting a target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model into a polynomial curve; The polynomial coefficients in the polynomial curve are extracted as performance characteristic parameters, and the performance characteristic parameters are used to optimize the structural parameters corresponding to the voice coil, skeleton, centering support, diaphragm, dust cover and / or folding ring in the initial vibration structural parameters of the speaker system.

2. The speaker optimization method according to claim 1, characterized in that: After extracting the polynomial coefficients in the polynomial curve as performance characteristic parameters, the method further comprises: According to the performance characteristic parameters and a preset expected performance threshold, the initial vibration structure parameters are optimized to obtain target vibration structure parameters of the speaker system.

3. The speaker optimization method according to claim 2, characterized in that: The step of optimizing the initial vibration structure parameters according to the performance characteristic parameters and the preset expected performance threshold to obtain the target vibration structure parameters of the speaker system includes: If the performance characteristic parameter is greater than a preset expected performance threshold, at least one of the centering support structure parameters, the diaphragm structure parameters, the folding ring structure parameters, and the dust cover structure parameters is adjusted to obtain a corresponding adjusted finite element model; In response to a simulation event triggered by the adjusted finite element model, a corresponding new performance characteristic parameter is obtained; Until the difference between the new performance characteristic parameter and the expected performance threshold is less than the preset difference threshold, the target vibration structure parameter is obtained.

4. The speaker optimization method according to claim 3, characterized in that: The step of obtaining the target vibration structure parameter until the difference between the new performance characteristic parameter and the expected performance threshold is less than a preset difference threshold comprises: Acquire at least two performance characteristic parameters whose difference with the expected performance threshold is less than a preset difference threshold, and acquire the minimum performance characteristic parameter of the at least two performance characteristic parameters; The vibration structure parameter corresponding to the minimum performance characteristic parameter is used as the target vibration structure parameter.

5. The speaker optimization method according to claim 1, characterized in that: The method of obtaining the target association relationship according to the initial vibration structure parameters through the finite element model includes: Performing finite element analysis on the finite element model to adjust displacement information of the voice coil in the finite element model; Get the stiffness coefficient corresponding to each bit displacement information; According to the multiple groups of displacement information and the corresponding stiffness coefficients, a target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model is obtained.

6. The speaker optimization method according to claim 1, characterized in that: The method further comprises: constructing an initial finite element model according to the initial vibration structure parameters; Defining material properties in the initial finite element model according to preset material characteristic parameters, wherein the material characteristic parameters include material elastic modulus, material Poisson's ratio, material density and system loss factor; According to the preset material edge constraints, edge constraints are applied to the defined initial finite element model to obtain a finite element model, wherein the material edge constraints include the outer edge constraints of the fold ring and the outer edge constraints of the centering support of the loudspeaker system.

7. The speaker optimization method according to any one of claims 2 to 4, characterized in that: After optimizing the initial vibration structure parameters according to the performance characteristic parameters and the preset expected performance threshold to obtain the target vibration structure parameters of the speaker system, the method further comprises: Obtaining a vehicle model corresponding to the target vibration structure parameter; The vehicle model is associated with the target vibration structure parameter and stored to obtain a vibration structure database of the vehicle speaker system; In response to the vibration structure parameter query operation of the loudspeaker system of the target vehicle, the vibration structure database is queried according to the target vehicle model of the target vehicle to obtain the optimal vibration structure parameters of the loudspeaker system in the target vehicle.

8. A speaker optimization device, characterized in that: The speaker optimization device comprises: A first acquisition module is used to acquire initial vibration structure parameters, where the initial vibration structure parameters are obtained based on a loudspeaker system; A second acquisition module is used to obtain a target association relationship according to the initial vibration structure parameters through a finite element model, wherein the target association relationship is used to represent the target association relationship between the voice coil displacement and the stiffness coefficient in the finite element model, and the target association relationship is used to optimize the initial vibration structure parameters of the speaker system, wherein the initial vibration structure parameters include structural parameters corresponding to the voice coil, the skeleton, the centering support, the diaphragm, the dust cover and the folding ring; A curve fitting module, used for fitting the target correlation relationship between the voice coil displacement and the stiffness coefficient in the finite element model into a polynomial curve; An extraction module is used to extract polynomial coefficients in the polynomial curve as performance characteristic parameters, and the performance characteristic parameters are used to optimize the structural parameters corresponding to the voice coil, skeleton, centering support, diaphragm, dust cover and / or folding ring in the initial vibration structural parameters of the speaker system.

9. An electronic device, characterized in that: It comprises a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of any one of the methods of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: It comprises a computer program, and when the computer program is run on a vehicle, the computer program is used to make the vehicle execute the steps of any one of the methods of claims 1 to 7.

11. A computer program product, characterized in that It includes a computer program, which is stored in a computer-readable storage medium; when a processor of an electronic device reads the computer program from the computer-readable storage medium, the processor executes the computer program, so that the electronic device performs the steps of any method described in claims 1 to 7.

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