Acoustic package design optimization method and apparatus, computer device, and storage medium

Abstract

The application relates to the technical field of vehicle development and design, and discloses a design optimization method and device for an acoustic package, computer equipment and a storage medium, which comprises the following steps: obtaining an initial coverage rate and an initial acoustic package surface density of an acoustic package to be optimized; performing parameter combination solving under sound insulation amount constraints based on the initial coverage rate and the initial acoustic package surface density to obtain a target coverage rate and a target acoustic package surface density of the acoustic package to be optimized; and finally determining a target optimization scheme of the acoustic package to be optimized based on the target coverage rate, the target acoustic package surface density, the initial coverage rate and the initial acoustic package surface density to guide the design optimization of the acoustic package to be optimized. The acoustic package has the beneficial effects that, for the acoustic package which has completed preliminary selection and design, the initial design parameters are taken as the calculation benchmark, lightweight target design parameters are obtained by performing parameter combination solving under equal sound insulation constraints, and finally, a target optimization scheme which can be directly implemented is output. Under the premise of ensuring that the sound insulation performance is not reduced, the weight and material cost of the acoustic package can be effectively reduced.

Description

Technical Field

[0001] This application relates to the field of vehicle development and design technology, and in particular to a method, apparatus, computer equipment, and storage medium for designing and optimizing an acoustic package. Background Technology

[0002] Acoustic packages are material components that cover the surface of the body structure panels. As a core component in the development of automotive noise, vibration and acoustic roughness, they can improve the airborne sound insulation performance of the body structure through mechanisms such as sound absorption, sound insulation and vibration reduction.

[0003] However, optimization methods in related technologies often focus on the allocation and design of multi-material coverage in the early stages of solution development, aiming to meet vehicle-level sound insulation targets through material selection and layout planning. For acoustic package solutions that have already undergone preliminary selection, it is still impossible to effectively reduce weight and cost without compromising overall vehicle sound insulation performance.

[0004] Therefore, a method is needed to refine and optimize acoustic packages that have completed preliminary selection and design, so as to reduce weight and cost while ensuring sound insulation performance. Summary of the Invention

[0005] This application aims to at least partially solve one of the technical problems in related technologies. To this end, this application proposes a method, apparatus, computer device, and storage medium for optimizing the design of an acoustic package. The main technical solutions adopted in this application include: In a first aspect, this application provides a method for designing and optimizing an acoustic package. The method includes: obtaining initial design parameters of the acoustic package to be optimized; wherein the initial design parameters include the initial coverage rate and the initial areal density of the acoustic package to be optimized; solving for parameter combinations under sound insulation constraints based on the initial design parameters to obtain target design parameters of the acoustic package to be optimized; wherein the target design parameters include the target coverage rate and the target areal density of the acoustic package; and determining a target optimization scheme for the acoustic package to be optimized based on the target coverage rate, the target areal density of the acoustic package, the initial coverage rate, and the initial areal density of the acoustic package, to guide the design optimization of the acoustic package to be optimized.

[0006] For acoustic packages with preliminary selection and design completed, the initial design parameters are used as the calculation benchmark. The target design parameters for lightweighting are obtained by solving for parameter combinations under equal sound insulation constraints, ultimately outputting a directly implementable target optimization scheme. This entire method is suitable for fine-tuning and optimization in the later stages of project development. It eliminates the need for large-scale material selection and sound insulation performance verification, effectively reducing the weight and material costs of the acoustic package while ensuring no reduction in sound insulation performance, thereby improving the overall vehicle lightweighting level and development economy.

[0007] Optionally, the parameters under the constraint of sound insulation are solved based on the initial design parameters to obtain the target design parameters of the acoustic package to be optimized, including: using a preset coverage range, solving the parameter combination under the constraint of sound insulation based on the initial design parameters to obtain candidate parameter combinations; and determining the target design parameters of the acoustic package to be optimized from the candidate parameter combinations.

[0008] First, all candidate parameter combinations that satisfy the sound insulation constraints are obtained by batch solving. Then, the target design parameters are selected and determined in combination with the actual engineering situation. This ensures the sound insulation performance compliance of the optimized scheme, while also taking into account the feasibility of engineering implementation and the optimal cost-weight. It can efficiently obtain optimization results that are both theoretically reasonable and practically applicable.

[0009] Optionally, using a preset coverage range, the parameter combination solution is performed under the sound insulation constraint based on the initial design parameters to obtain the candidate parameter combination, including: performing equivalent sound insulation calculation based on the initial design parameters to obtain the target sound insulation; and using the target sound insulation as a sound insulation constraint based on the initial design parameters, the parameter solution is performed within the preset coverage range using the objective function to obtain the candidate parameter combination.

[0010] First, a unified sound insulation performance constraint benchmark is established. Then, the candidate parameters covering the entire feasible domain are solved in batches based on the objective function. This not only ensures that the sound insulation performance is not reduced before and after optimization, but also efficiently generates a complete set of candidate parameters, providing sufficient data support for the subsequent selection of the optimal solution.

[0011] Optionally, the initial design parameters also include the surface density of the board; equivalent sound insulation calculation is performed based on the initial design parameters to obtain the target sound insulation amount, including: within a preset frequency range, calculating the transmission coefficient corresponding to each frequency condition based on the initial acoustic cladding surface density and the surface density of the board to obtain a set of transmission coefficients; using pre-designed weighting coefficients, performing weighted calculations based on the set of transmission coefficients to obtain the equivalent transmission coefficients; and determining the target sound insulation amount based on the equivalent transmission coefficients.

[0012] In the above implementation, by calculating the transmission coefficient frequency by frequency and converting the single-value equivalent sound insulation, the sound insulation performance curve in the frequency domain is transformed into a unified quantitative constraint index. This not only conforms to the sound insulation performance evaluation habits in the engineering field, but also provides a clear and executable rigid constraint benchmark for subsequent parameter optimization, which can strictly ensure that the sound insulation performance level before and after optimization is consistent.

[0013] Optionally, within a preset frequency range, the transmission coefficients corresponding to each frequency condition are calculated based on the initial acoustic cladding density and the sheet material surface density to obtain a transmission coefficient set. This includes: determining the current sound insulation amount based on the initial acoustic cladding density, the sheet material surface density, and the current frequency condition for any frequency condition within the preset frequency range; calculating the current transmission coefficient based on the current sound insulation amount; traversing the preset frequency range and repeating the above steps of determining the current sound insulation amount and calculating the current transmission coefficient to integrate all current transmission coefficients to construct a transmission coefficient set.

[0014] By calculating the sound insulation at each frequency point and converting it into the transmission coefficient, we can accurately obtain the sound insulation characteristics data of the initial scheme across the entire frequency band, providing an accurate basic dataset for the subsequent weighted calculation of the equivalent sound insulation.

[0015] Optionally, the candidate parameter combination includes multiple sets of candidate design parameters; each set of candidate design parameters includes a candidate coverage rate and a candidate acoustic cladding density corresponding to the candidate coverage rate; based on the initial design parameters, the target sound insulation is used as a sound insulation constraint, and the parameters are solved using an objective function within a preset coverage range to obtain the candidate parameter combination, including: Candidate coverage rates are determined within a preset coverage range; the candidate coverage rate is determined by the increment of the initial coverage rate and the current coverage rate; the candidate acoustic surface density is determined using the candidate coverage rate, the initial coverage rate, the initial acoustic surface density, and the surface density of the board.

[0016] By discretely traversing the coverage values ​​and solving the corresponding surface density, all alternative parameter schemes that meet the sound insulation constraints can be quickly generated, providing a complete dataset for subsequent selection of the optimal design.

[0017] Optionally, the candidate acoustic package density can be determined by the following method: In the formula, Candidate acoustic surface density; For candidate coverage, The number of candidate design parameters; This represents the current coverage increment; This represents the initial coverage rate. The initial acoustic surface density; This refers to the surface density of the board.

[0018] By utilizing the above quantitative conversion relationship, the corresponding compliance surface density values ​​under different coverage rates can be quickly obtained without repeating sound insulation simulation calculations or experimental tests, which greatly improves the calculation efficiency of parameter optimization.

[0019] Secondly, this application provides a design optimization device for an acoustic package, the device comprising: The initial parameter acquisition module is used to acquire the initial design parameters of the acoustic package to be optimized; wherein, the initial design parameters include the initial coverage and the initial areal density of the acoustic package to be optimized. The parameter combination solution module is used to solve the parameter combination under the sound insulation constraint based on the initial design parameters, so as to obtain the target design parameters of the acoustic package to be optimized; among which, the target design parameters include the target coverage and the target acoustic package surface density; The optimization scheme determination module is used to determine the target optimization scheme of the acoustic package to be optimized based on the target coverage, target acoustic package surface density, initial coverage, and initial acoustic package surface density, so as to guide the design optimization of the acoustic package to be optimized.

[0020] Thirdly, this application also provides a computer device including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of any of the above methods.

[0021] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the methods described above. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0023] Figure 1a A schematic diagram of the acoustic package provided in this application; Figure 1b A line graph illustrating the quantitative impact of insertion loss on sound insulation according to this application; Figure 1c A line graph illustrating the quantitative impact of insertion loss on the increase in sound insulation, as provided in this application; Figure 1d A line graph quantized from the first derivative provided in this application; Figure 1e This is another quantitative line graph showing the impact of insertion loss on sound insulation provided in this application; Figure 1f A line graph illustrating the quantitative impact of the sound insulation increment provided in this application; Figure 1g This is a flowchart of a design optimization method for an acoustic package according to an embodiment of this application; Figure 2This is a flowchart of a method for determining target design parameters according to yet another embodiment of this application; Figure 3 A flowchart of a method for determining a target sound insulation level is provided according to another embodiment of this application; Figure 4 A flowchart of a method for determining areal density is provided according to another embodiment of this application; Figure 5 This is a structural block diagram of an acoustic package design optimization device provided according to an embodiment of this application; Figure 6 This is an internal structural diagram of a computer device provided according to an embodiment of this application. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] Understandably, in the actual development of vehicle noise, vibration and harshness (NVH), the predefinition of acoustic packages is an important task. Performance engineers will predefine the materials, dimensions, coverage, sound absorption and sound insulation performance of materials such as damping pads, carpets, and sound-absorbing cotton involved in the whole vehicle in the early stage of the project, and reach an agreement with the engineers responsible for the corresponding parts.

[0026] If we can start from the theory and comprehensively analyze the impact of acoustic cladding density and coverage on overall sound insulation, we can not only know what happens, but also why it happens, and better carry out various tasks such as acoustic development and weight reduction.

[0027] Based on this, according to an embodiment of this application, a method for designing and optimizing an acoustic package is provided. Before describing the technical solution of this application, relevant concepts will be explained first.

[0028] Sound insulation (denoted as) Sound insulation performance (SIP) is a physical quantity used to measure the sound insulation performance of a structure / material, measured in dB, and can be calculated using the following formula: In the formula, Represents the transmittance coefficient of the structure / material.

[0029] Transmission coefficient (denoted as) (), can measure the physical properties of structures / materials, with a value range of ) Based on the reverse transformation of the above equation, the formula for calculating the transmission coefficient can be obtained: .

[0030] Insertion loss (denoted as) ), defined as the increase in sound insulation of the corresponding area after acoustic material is covered on the board, that is, the difference between the sound insulation of the covered area and the original sound insulation of the board.

[0031] Coverage (denoted as) The area covered by the acoustic package is defined as the ratio of the area covered by the acoustic package to the total area of ​​the substrate, and can be calculated using the following formula: In the formula, Represents the area of ​​the board material; Represents the area of ​​the acoustic package, and 0 < ≤ .

[0032] areal density (denoted as ) ), defined as the mass of material per unit area.

[0033] After clarifying the above concepts, the first step is to model the total sound insulation of the composite structure.

[0034] For example, please refer to Figure 1a As shown, assuming the area of ​​the board is... Its original sound insulation is Furthermore, the board is covered with a single, specific type of acoustic packaging material, and the area covered by the acoustic packaging is... The insertion loss of the acoustic packet is The acoustic package coverage can be calculated based on the acoustic package area and the board material area. .

[0035] The areas of the board not covered by the acoustic coating rely solely on the board for sound insulation; their transmission coefficient can be denoted as... The area covered by the acoustic package provides sound insulation through the combined effect of the material and the acoustic package; its transmission coefficient can be denoted as... .

[0036] According to the principle of area superposition of transmitted sound energy, the total transmission coefficient of the above composite structure is the area-weighted average of the transmission coefficients of each region, which is expressed by the following formula: Due to coverage Deformation yields , will Substituting into the above formula, we get: Next, both terms in the molecule contain common factors. After extracting it, it is compared with the denominator. Canceling this gives the expression for the total transmittance coefficient: Next, based on the relationship between transmission coefficient and sound insulation, the transmission coefficient of the board is... The transmittance of the covered area is Substituting these two factors into the above expression for the total transmission coefficient, we obtain the following equation: Then it can be defined according to the sound insulation ( Substituting the total transmission coefficient mentioned above, the total sound insulation of the overall composite structure can be obtained. for: Extract the common factor from the two terms in the logarithm of the above equation. Then apply the exponentiation rule to the second term. Split into Then the expression within the logarithm can be rewritten as .

[0037] Substitute it into the total sound insulation. The calculation formula utilizes the logarithmic operation rule. Decompose and then combine with the logarithmic identity Simplifying the first term, we can finally obtain the following formula (1), which can be used to calculate the total sound insulation of the overall composite structure. : (1) In the formula, This represents the original sound insulation of the board material; This represents the coverage of the acoustic package; This represents the insertion loss of the acoustic packet.

[0038] As can be seen from equation (1), the total sound insulation of the board after covering the acoustic package is determined by the original sound insulation of the board, the insertion loss of the acoustic package, and the coverage rate of the acoustic package.

[0039] For example, an extreme case (coverage) can be selected. Taking the case where 100% is equal to 100% as an example, substituting into equation (1), we can obtain... That is, the total sound insulation is the linear superposition of the sound insulation of the board material and the insertion loss of the acoustic envelope. Please refer to... Figure 1b In the figure, the black line represents the sound insulation of the board material, the green line represents the acoustic insertion loss, and the blue line represents the total sound insulation. The results shown in the figure verify the correctness of the above theoretical derivation.

[0040] Further analysis of the sound insulation increment was conducted.

[0041] Based on the analysis results of the first step, we can continue the derivation. For example, by subtracting the original sound insulation of the board from equation (1), we can obtain the sound insulation increment brought by the acoustic package. The calculation relationship is as follows (2): In the formula, This represents the coverage of the acoustic package; This represents the insertion loss of the acoustic packet.

[0042] Based on equation (2), such as Figure 1c As shown, if the coverage As a fixed parameter, the sound insulation increment can be plotted. Insertion loss The curve showing the change. Figure 1c The four curves in the image correspond to four fixed coverage rates. (Orange line represents 60%, dark blue line represents 70%, sky blue line represents 80%, and green line represents 90%). The curves show that when the coverage remains constant, the increase in sound insulation increases with the increase in acoustic insertion loss. It continues to improve, but the growth rate is gradually decreasing, showing a decreasing contribution rate.

[0043] To quantitatively measure the contribution of the insertion loss improvement, we can analyze the sound insulation increment in equation (2). Make provisions for loss The first derivative yields the following measure of the sound insulation contribution rate. The formula: Then, plot the curve with insertion loss on the horizontal axis and sound insulation contribution rate on the vertical axis as shown below. Figure 1d As shown in the graph, the blue line represents 80% coverage, the green line represents 90% coverage, and the orange line represents 100% coverage. From... Figure 1d As can be clearly seen, the greater the insertion loss, the lower the contribution rate to sound insulation. That is, simply improving the sound insulation performance of the acoustic material itself will lead to a continuous decline in its benefits.

[0044] Having reached the above conclusions, we can further analyze and derive the theoretical limit of the sound insulation increment. That is, we consider the insertion loss of the acoustic envelope. When it approaches positive infinity, the increase in sound insulation It will approach a stable limit value, which is determined solely by the coverage. Therefore, we can take equation (2) as follows: The limit, at this point Therefore, we can obtain the following formula (3): in, The theoretical upper limit representing the increase in sound insulation. Represents coverage. This represents the increase in sound insulation.

[0045] Then, based on equations (2) and (3), curves can be further plotted, such as... Figure 1e As shown in the figure, the orange broken line represents the sound insulation increment at a coverage rate of 60%, and the orange dashed line represents the limit value of the sound insulation increment at a coverage rate of 60%; the dark blue broken line represents the sound insulation increment at a coverage rate of 70%, and the dark blue dashed line represents the limit value of the sound insulation increment at a coverage rate of 70%; the sky blue broken line represents the sound insulation increment at a coverage rate of 80%, and the sky blue dashed line represents the limit value of the sound insulation increment at a coverage rate of 80%; the green broken line represents the sound insulation increment at a coverage rate of 90%, and the green dashed line represents the limit value of the sound insulation increment at a coverage rate of 90%. It can be seen that the sound insulation increment curves at different coverage rates will eventually approach the limit value of the corresponding coverage rate and cannot exceed this upper limit. In other words, once the coverage rate of the acoustic package is determined, even if the insertion loss of the acoustic package is infinitely large, the overall sound insulation of the composite structure will be less than a fixed value. This means that simply improving the performance of acoustic materials themselves cannot infinitely increase the overall sound insulation.

[0046] However based on Figures 1c to 1e Another conclusion can be derived: under the same insertion loss conditions Below, coverage The higher the value, the greater the corresponding increase in sound insulation. The larger the coverage area, the better. In other words, after determining the acoustic package material to use, if you want to further increase the upper limit of sound insulation, you can also choose to increase the coverage area of ​​the acoustic package.

[0047] Furthermore, in practical engineering applications, for acoustic package solutions that have been initially selected and finalized, their sound insulation performance usually already meets the overall vehicle design requirements, and there is no need to pursue higher sound insulation indicators by improving material performance. Therefore, based on the parameter patterns derived above, it is possible to further explore lightweight optimization solutions by adjusting other parameters of the acoustic package, while ensuring that the overall sound insulation performance is not reduced, thereby achieving cost control.

[0048] Specifically, assuming the initial coverage of the acoustic package is... The initial insertion loss is So, increase the coverage increment The target coverage rate obtained afterwards was The corresponding increase in insertion loss increment The resulting target insertion loss is .

[0049] Based on equation (1), if the total sound insulation corresponding to two acoustic package schemes with different parameters is equal, then their logarithmic expressions must be equal. Therefore, when the total sound insulation under the initial design parameters and the target design parameters is equal, it should satisfy the following equation: Eliminate the constant term 1 from both sides of the equation and substitute it into... And by organizing, we can obtain: Taking the logarithm to base 10 of both sides of the equation and rearranging, we can finally derive the corresponding relationship between the insertion loss increment and the coverage increment (4): (4) In the formula, Represents the increment of insertion loss; Represents the initial coverage rate; Represents the increase in coverage; This represents the initial insertion loss.

[0050] Equation (4) above is the equivalent conversion formula for the change in coverage and the change in insertion loss under the constraint of equal sound insulation. Based on this formula, the insertion loss corresponding to different coverage can be calculated under given initial parameters, and the results are shown in Table 1 below.

[0051] Table 1 Different Coverage Rates The corresponding insertion loss Then, based on Table 1 and Equation (4), the initial coverage rate can be used. Calculate the increment of insertion loss for different coverage increments and plot the curves, as shown below. Figure 1f As shown in the figure. The red line represents an insertion loss of 1, the orange line represents an insertion loss of 3, the yellow line represents an insertion loss of 5, the turquoise line represents an insertion loss of 7, the sky blue line represents an insertion loss of 9, the dark blue line represents an insertion loss of 11, the purple line represents an insertion loss of 13, the black line represents an insertion loss of 15, and the grass green line represents an insertion loss of 17.

[0052] pass Figure 1f It can be seen that, under the baseline condition of an initial coverage rate of 70%, as the coverage rate increases... The increase of insertion loss The value continues to increase towards negative values, meaning the reduction in insertion loss allowed by the acoustic package continues to increase. And the initial insertion loss... The larger the curve, the more pronounced the downward trend.

[0053] In other words, while ensuring that the total sound insulation of the composite structure remains unchanged, increasing the coverage area of ​​the acoustic package can correspondingly reduce the requirements for the sound insulation performance of the acoustic materials themselves.

[0054] It should be noted that the law of sound insulation quality stipulates that: ,in This represents the frequency of the incident sound wave. The physical essence of this formula is: a homogeneous material vibrates and radiates sound energy outwards under the excitation of an incident sound wave; the greater the surface density and the higher the frequency of the incident sound wave, the greater the inertial resistance of the material's vibration, the less sound energy is transmitted, and the higher the sound insulation. In other words, it describes the change in the sound insulation performance of a homogeneous material when external noise of different frequencies passes through it.

[0055] In other words, based on the sound insulation quality law, the insertion loss of an acoustic package is determined by both the surface density of the substrate and the surface density of the acoustic package material. Therefore, assuming the substrate structure is finalized and the surface density remains fixed, the insertion loss can be adjusted by changing the surface density of the acoustic package material itself. Furthermore, surface density is a physical parameter that is easily and directly controllable in the engineering design of acoustic packages, and can be directly implemented by adjusting the material thickness or bulk density.

[0056] Specifically, assuming the surface density of the board is... The initial acoustic surface density is The target acoustic surface density is Therefore, based on the law of sound insulation quality, the original sound insulation of the board is: After the initial acoustic package covering the initial design parameters is applied, the total areal density of the covered area is: The corresponding initial sound insulation is: .

[0057] So, the initial insertion loss of the initial acoustic packet for: Similarly, the target insertion loss of the adjusted target acoustic package for: So, the increment of insertion loss The relationship with areal density is: Furthermore, the above-mentioned insertion loss increment Substituting the relationship with the surface density into equation (4), and after algebraic simplification, we can obtain the formula for calculating the surface density of the target acoustic package corresponding to the change in the target coverage rate under equal sound insulation constraints: In the formula, Target acoustic surface density; For target coverage; For the target coverage increment; This represents the initial coverage rate. The initial acoustic surface density; This refers to the surface density of the board.

[0058] Furthermore, based on the above formula (5), the weight reduction rate can be further analyzed to verify the actual cost reduction effect of this solution in engineering applications.

[0059] Assuming the total area of ​​the board is A, the total weight of the initial acoustic package can be: The total weight of the target acoustic package is denoted as Then there is .

[0060] The weight reduction rate η of the acoustic package after optimization can be calculated using the following formula: Based on the above formula, given the baseline parameters (e.g., assuming...), =7.8kg / ㎡, =3.5kg / ㎡, After reaching 70%, the incremental coverage for different candidate coverage rates can be calculated. Corresponding target surface density Based on the weight reduction rate η, the results are shown in Table 2 below: Table 2 Increment of Coverage for Different Candidates Corresponding target surface density With weight loss rate η As shown in Table 2, with the increase in coverage, there is more and more room for reducing the weight of acoustic packages, and the benefits of cost reduction and weight reduction of acoustic packages are quite considerable.

[0061] Ultimately, the conclusion drawn from the above derivations is that in the development of acoustic packages, we should not and cannot seek unlimited increases in the material and density of the acoustic package itself. Maximizing the coverage of the acoustic package is the most economical and practical solution.

[0062] Based on the above, this embodiment provides a method for designing and optimizing an acoustic package, such as... Figure 1g As shown, the method includes the following steps: S110. Obtain the initial design parameters of the acoustic package to be optimized.

[0063] Among them, the acoustic package to be optimized can refer to the vehicle acoustic package components that have completed the initial material selection and layout and need to be optimized for lightweighting; it can also be called the initial acoustic package.

[0064] Initial design parameters can refer to the material parameters of the acoustic package initially determined in its initial design state. Specifically, initial design parameters may include the initial coverage and initial areal density of the acoustic package to be optimized.

[0065] The initial coverage rate can refer to the percentage of the area covered by the acoustic package material on the surface of the board, that is, the ratio of the acoustic package coverage area to the total area of ​​the board.

[0066] The initial acoustic package areal density can refer to the mass of the acoustic package material per unit area initially determined, reflecting the thickness and weight of the acoustic package material. Optionally, the initial design parameters may also include the sheet material areal density, which can refer to the mass of the substrate sheet per unit area, reflecting the thickness and weight of the sheet material.

[0067] Specifically, the initial design document of the corresponding acoustic package to be optimized can be retrieved from the vehicle NVH design database, and the coverage value, material surface density value, and basic parameters of the corresponding sheet metal (such as the surface density of the sheet metal) can be extracted as initial design parameters.

[0068] For example, assuming the acoustic package to be optimized is a sound insulation pad for the front bulkhead of a vehicle, the initial design file of the sound insulation pad can be exported from the vehicle design system, and the initial coverage rate can be read. The initial acoustic surface density is The surface density of the board is The above parameters can be used as initial design parameters.

[0069] S120. Solve the parameter combination under the sound insulation constraint based on the initial design parameters to obtain the target design parameters of the acoustic package to be optimized.

[0070] It should be noted that after the initial selection of the acoustic package to be optimized is completed, its sound insulation performance usually meets the mandatory indicators of vehicle development, but there is still room for optimization in terms of material weight and cost. Therefore, based on the interchangeability rules of equal sound insulation parameters derived above, parameter optimization (adjusting the ratio of coverage and material surface density) can be performed to obtain the target design parameters of the acoustic package to be optimized, thereby achieving lightweight optimization of the acoustic package, while ensuring that the overall sound insulation is not reduced.

[0071] The target design parameters refer to the acoustic package design parameters obtained after optimization. Under these design parameters, the target acoustic package not only has good sound insulation performance, but also has lighter weight and lower cost.

[0072] Specifically, the target design parameters may include target coverage and target acoustic package surface density. The target coverage may refer to the proportion of the target acoustic package material covering the surface of the board, i.e., the adjusted acoustic package arrangement range. The target acoustic package surface density may refer to the mass of the acoustic package material per unit area of ​​the target acoustic package, i.e., the adjusted acoustic package material weight level.

[0073] The solution of parameter combination under the constraint of sound insulation amount refers to the calculation process of taking the sound insulation amount determined under the initial design parameters as a rigid constraint, calculating the acoustic cladding density that can be matched under different coverage rates within a preset coverage range (such as 70% to 100%), so as to obtain multiple sets of parameter combinations that meet the sound insulation requirements, and then selecting the optimal solution from them.

[0074] Specifically, firstly, the initial equivalent sound insulation can be calculated based on the initial design parameters and set as the sound insulation constraint threshold. Then, within a preset coverage range, multiple candidate coverage rates are generated at fixed step sizes. Next, for each candidate coverage rate, the corresponding candidate acoustic surface density is calculated based on the equal sound insulation conversion relationship, forming multiple sets of candidate parameter combinations. Finally, the set with the smallest weight is selected from all candidate parameter combinations, and the candidate coverage rate corresponding to this set is taken as the target coverage rate, and the candidate acoustic surface density of this set is taken as the target acoustic surface density, thus obtaining the final target design parameters.

[0075] S130. Based on the target coverage, target acoustic package surface density, initial coverage, and initial acoustic package surface density, determine the target optimization scheme for the acoustic package to be optimized, so as to guide the design optimization of the acoustic package to be optimized.

[0076] The target optimization plan can refer to a comprehensive adjustment plan that guides the optimization of the acoustic package's deployment. For example, it can include quantitative indicators such as coverage increase and acoustic package weight reduction rate, as well as suggestions for material and process adjustments and adjustments to the layout scope.

[0077] Specifically, taking the weight reduction rate as the target optimization scheme as an example, we can first calculate the total weight of the initial acoustic package in the initial state based on the initial coverage and initial areal density, and then calculate the total weight of the optimized target acoustic package based on the target coverage and target areal density. By the ratio of the difference between the two to the initial total weight, we can obtain the acoustic package weight reduction rate, which together with the parameter adjustment amount constitutes the target optimization scheme.

[0078] For example, the weight reduction rate η of the acoustic package can be calculated using the following formula: In the formula, Represents the weight reduction rate of the acoustic package; This represents the total weight of the initial acoustic package; Represents the total weight of the target acoustic package; Represents the initial coverage rate; Represents the initial acoustic envelope density; Represents target coverage; Represents the target acoustic surface density.

[0079] Furthermore, after obtaining the target optimization scheme, the material formula and molding process of the acoustic package can be adjusted according to the parameter indicators in the scheme, and the coverage area of ​​the acoustic package can be adjusted at the same time, so as to complete the update of the design scheme according to the target parameters.

[0080] For example, if the target coverage rate is calculated to be 80%, the target acoustic package surface density is 2.9 kg / m², and the corresponding weight reduction rate is 7.3%, then the acoustic package material can be thinned to the corresponding surface density based on the original design, while the coverage area of ​​the acoustic package material can be expanded to 80% of the board area, thereby achieving weight reduction while ensuring that the sound insulation performance remains unchanged.

[0081] In the above implementation, for the acoustic package whose preliminary selection and design have been completed, the initial design parameters are used as the calculation basis. The target design parameters for lightweighting are obtained by solving the parameter combination under the constraint of equal sound insulation, and finally, a target optimization scheme that can be directly implemented is output. The entire method is suitable for fine-tuning and optimization in the later stages of project development. It can effectively reduce the weight and material cost of the acoustic package without having to carry out large-scale material selection and sound insulation performance verification again, thereby improving the overall vehicle lightweighting level and development economy while ensuring that the sound insulation performance is not reduced.

[0082] In some implementation methods, please refer to the appendix. Figure 2 Based on the initial design parameters, the parameters under the sound insulation constraint are solved to obtain the target design parameters of the acoustic package to be optimized, including: S210. Using the preset coverage range, solve the parameter combination under the sound insulation constraint based on the initial design parameters to obtain the candidate parameter combination.

[0083] The preset coverage range can be a range of coverage values ​​that allow for parameter optimization. For example, if the initial coverage is 70%, then the preset coverage range can be from 70% to 100%.

[0084] Candidate parameter combinations can refer to a set of multiple acoustic package alternative design parameters that all meet the equivalent sound insulation constraint. Each set of parameters can ensure that the sound insulation performance of the composite structure is not lower than the sound insulation performance of the initial acoustic package under the initial design parameters.

[0085] Specifically, using a preset coverage range, the parameter combination is solved under the constraint of sound insulation based on the initial design parameters to obtain candidate parameter combinations. This includes: performing equivalent sound insulation calculation based on the initial design parameters to obtain the target sound insulation; and using the target sound insulation as a sound insulation constraint based on the initial design parameters, the parameter is solved using the objective function within the preset coverage range to obtain candidate parameter combinations.

[0086] It should be noted that the sound insulation is a frequency domain curve that varies with the sound wave frequency, and cannot be directly used as a unified constraint benchmark for parameter optimization. Therefore, it is necessary to convert it through weighting to obtain the target sound insulation under the initial design parameters (the equivalent sound insulation calculated based on the initial design parameters), and use this as a rigid constraint threshold to solve subsequent parameters.

[0087] Specifically, the transmission coefficient of the composite structure can be calculated point by point within a preset frequency range to form a set of transmission coefficients. Then, the set of transmission coefficients is weighted by pre-designed weighting coefficients to obtain the equivalent transmission coefficient. Finally, the equivalent transmission coefficient is converted into the corresponding equivalent sound insulation, which is the target sound insulation.

[0088] After obtaining the target sound insulation value, the target sound insulation value can be used as a sound insulation constraint based on the initial design parameters. The objective function can then be used to solve for the parameters within the preset coverage range to obtain candidate parameter combinations.

[0089] The objective function can be a coverage-area density conversion formula derived based on the principle of equal sound insulation, which can directly calculate the corresponding acoustic envelope density based on the input candidate coverage while ensuring that the overall sound insulation remains unchanged.

[0090] First, a unified sound insulation performance constraint benchmark is established. Then, the candidate parameters covering the entire feasible domain are solved in batches based on the objective function. This not only ensures that the sound insulation performance is not reduced before and after optimization, but also efficiently generates a complete set of candidate parameters, providing sufficient data support for the subsequent selection of the optimal solution.

[0091] S220. Determine the target design parameters of the acoustic package to be optimized from the candidate parameter combinations.

[0092] It is important to understand that the above parameter conversions are derived based on an ideal theoretical model. In actual engineering applications, due to the presence of pre-drilled holes, mounting clips, and assembly gaps on the surface of the sheet metal, coupled with limitations in material forming and layout processes, the coverage of the acoustic package often cannot reach the theoretical 100%. Therefore, when selecting the target design parameters for the acoustic package to be optimized, it is necessary to consider both actual engineering constraints and cost / weight targets to achieve a balance between lightweight benefits and engineering feasibility.

[0093] Specifically, the core screening objective is to minimize the total weight of the acoustic package. All candidate parameter combinations are sorted, and several alternative schemes with the lowest total weight are selected. Then, the alternative schemes are verified in combination with actual constraints such as engineering layout feasibility and material and process limitations. Finally, a set of parameters that are optimal in all aspects are determined as the target design parameters.

[0094] For example, in the optimization scenario of the vehicle front bulkhead sound insulation pad, the total weight of the acoustic package corresponding to all candidate parameter combinations is first calculated. After sorting the options from lowest to highest weight, the three options with the lowest weight are selected. Then, considering the actual layout conditions such as the opening position of the front bulkhead panel and the assembly gap of surrounding parts, options with excessive coverage that cannot be implemented are eliminated. Finally, the option with the lowest total weight and engineering feasibility is selected as the target design parameters for the acoustic package to be optimized.

[0095] In the above implementation method, all candidate parameter combinations that meet the sound insulation constraints are first solved in batches, and then the target design parameters are selected and determined in combination with the actual engineering situation. This not only ensures the sound insulation performance compliance of the optimized scheme, but also takes into account the feasibility of engineering implementation and the optimal cost weight, and can efficiently obtain optimization results that are both theoretically reasonable and practically applicable.

[0096] In some implementation methods, please refer to the appendix. Figure 3 Based on the initial design parameters, equivalent sound insulation calculations are performed to obtain the target sound insulation amount, including: S310. Within a preset frequency range, calculate the transmission coefficients corresponding to each frequency condition based on the initial acoustic cladding surface density and the surface density of the board material, so as to obtain a set of transmission coefficients.

[0097] The preset frequency range can refer to the frequency interval within which sound insulation performance calculations are allowed. It includes multiple discrete frequency conditions (frequency points) that cover the main sensitive frequency bands of vehicle noise. For example, according to GB / T50121-2005 "Standard for Evaluation of Sound Insulation of Buildings", 16 1 / 3 octave band frequency points in the range of 100Hz to 3150Hz can be selected as the preset frequency range.

[0098] Specifically, within a preset frequency range, the transmission coefficients corresponding to each frequency condition are calculated based on the initial acoustic cladding density and the board surface density to obtain a set of transmission coefficients. This includes: determining the current sound insulation amount based on the initial acoustic cladding density, the board surface density, and the current frequency condition for any frequency condition within the preset frequency range; calculating the current transmission coefficient based on the current sound insulation amount; traversing the preset frequency range and repeating the above steps of determining the current sound insulation amount and calculating the current transmission coefficient, and integrating all current transmission coefficients to construct a set of transmission coefficients.

[0099] The current sound insulation value can refer to the sound insulation value of the composite structure covering the initial acoustic package under the current single frequency condition, that is, the sound insulation value of the composite structure at that frequency point, which can be denoted as... .

[0100] Specifically, for a single frequency condition, the sound insulation of the pure board material can first be calculated using the sound insulation quality law based on the surface density of the board material and the current frequency. Then, combined with the initial surface density of the acoustic cladding, the composite sound insulation of the area covered by the acoustic cladding can be calculated as the current sound insulation.

[0101] For example, for a frequency condition of 500 Hz, assuming the surface density of the board... The initial acoustic cladding density is 7.8 kg / m². The initial coverage rate is 3.47 kg / m². It is 70%. First, use the formula. The original sound insulation of the board was calculated. Then through After calculating the initial acoustic package covering the initial design parameters, the total areal density of the coverage area is: The corresponding initial sound insulation This gives the current sound insulation level.

[0102] After obtaining the current sound insulation of the composite structure under the current frequency conditions, the current transmission coefficient corresponding to that frequency condition can be calculated further by using the conversion relationship between sound insulation and transmission coefficient.

[0103] For example, the conversion formula between transmission coefficient and sound insulation can be used ( Substitute the current sound insulation value into the value to calculate the current transmission coefficient corresponding to the frequency condition.

[0104] Subsequently, the preset frequency range can be traversed, and the steps of determining the current sound insulation and calculating the current transmission coefficient can be repeated to obtain the transmission coefficient corresponding to each frequency condition.

[0105] Finally, all current transmission coefficients are integrated to construct a transmission coefficient set. This transmission coefficient set fully covers the sound insulation characteristics at each frequency point within the preset frequency band.

[0106] By calculating the sound insulation at each frequency point and converting it into the transmission coefficient, we can accurately obtain the sound insulation characteristics data of the initial scheme across the entire frequency band, providing an accurate basic dataset for the subsequent weighted calculation of the equivalent sound insulation.

[0107] S320. Using pre-designed weighting coefficients, weighted calculations are performed based on the transmission coefficient set to obtain the equivalent transmission coefficient.

[0108] Among them, the pre-design weighting coefficient can refer to the weight value corresponding to each frequency point, which can be selected according to the corresponding national sound insulation evaluation standard, such as the weighting coefficient in GB / T 50121-2005.

[0109] For example, after obtaining the pre-design weighting coefficients, the equivalent transmission coefficient can be obtained by weighting calculation using the following formula: In the formula, Represents the equivalent transmission coefficient; N represents the total number of frequency points within the preset frequency range; i represents the i-th frequency condition; Represents the current transmittance coefficient; The current weighting factor represents the current transmittance coefficient.

[0110] The equivalent transmission coefficient can refer to the transmission coefficient obtained after weighted calculation, which is a quantitative index that can comprehensively characterize the sound insulation performance of the composite structure across the entire frequency band.

[0111] S330. Determine the target sound insulation amount based on the equivalent transmission coefficient.

[0112] After obtaining the equivalent transmission coefficient, the target sound insulation amount can be determined based on the equivalent transmission coefficient using the following formula: In the formula, Represents the target sound insulation level; This represents the equivalent transmission coefficient.

[0113] It should be noted that when calculating the sound insulation of a pure board material using the sound insulation quality law, the equivalent method described above can also be used. That is, first calculate the sound insulation and transmission coefficient of the pure board material at each frequency point, and then calculate the equivalent sound insulation of the pure board material by weighting.

[0114] For example, using the surface density of the board Taking a 1mm steel plate with a strength of 7.8kg / m² as an example, the sound insulation and corresponding transmission coefficient of the pure plate are calculated at 16 1 / 3 octave band frequency points from 100Hz to 3150Hz. By matching the weighting coefficients specified in the standard, the sound insulation performance calculation data of the pure plate can be constructed as shown in the table below.

[0115] Table 3. Calculation data of sound insulation performance of pure wood panels at various frequencies. Subsequently, using the same calculation logic as the equivalent sound insulation of the aforementioned composite structure, the transmission coefficient of the board material at each frequency point was weighted using weighting factors to obtain the equivalent transmission coefficient of the pure board material. Then, by substituting the values ​​into the sound insulation conversion formula, the equivalent sound insulation of the pure board material can be calculated. .

[0116] In the above implementation, by calculating the transmission coefficient frequency by frequency and converting the single-value equivalent sound insulation, the sound insulation performance curve in the frequency domain is transformed into a unified quantitative constraint index. This not only conforms to the sound insulation performance evaluation habits in the engineering field, but also provides a clear and executable rigid constraint benchmark for subsequent parameter optimization, which can strictly ensure that the sound insulation performance level before and after optimization is consistent.

[0117] In some implementation methods, please refer to the appendix. Figure 4 Based on the initial design parameters, the target sound insulation is used as a sound insulation constraint. The objective function is used to solve for the parameters within a preset coverage range to obtain candidate parameter combinations, including: S410. Determine the candidate coverage rate within the preset coverage range.

[0118] It should be noted that the candidate parameter combination includes multiple sets of candidate design parameters, each of which can be used independently as an alternative design scheme for the acoustic package. Furthermore, each set of candidate design parameters includes a candidate coverage rate and a candidate acoustic package areal density corresponding to that coverage rate.

[0119] Among them, the candidate coverage rate can refer to the coverage rate value of the group of alternative design schemes, while the candidate acoustic surface density is the surface density value of the material that can maintain the sound insulation amount by using the coverage rate value. Together, they form a complete set of candidate design parameters.

[0120] Specifically, candidate coverage can be determined by the initial coverage and the current coverage increment.

[0121] The current coverage increment can refer to the increase in candidate coverage relative to the initial coverage, i.e., the increase in candidate coverage. With initial coverage The difference .

[0122] Specifically, within a preset coverage range, the coverage can be increased from the initial coverage level by a fixed increment step. The values ​​are incremented sequentially to generate a series of discrete candidate coverage values. .

[0123] For example, if the preset coverage range is 70% to 99% and the incremental step size is set to 1%, multiple candidate coverage rates such as 71%, 72%, 73%...99% can be generated sequentially.

[0124] S420. Determine the candidate acoustic surface density using candidate coverage, initial coverage, initial acoustic surface density, and sheet surface density.

[0125] Furthermore, for each candidate coverage, the candidate acoustic envelope density can be determined as follows: In the formula, Candidate acoustic surface density; For candidate coverage, The number of candidate design parameters; This represents the current coverage increment; This represents the initial coverage rate. The initial acoustic surface density; This refers to the surface density of the board.

[0126] This formula can be derived based on the sound insulation theory of composite walls and the law of sound insulation quality (see the derivation process above, which will not be repeated here). It explains the quantitative conversion relationship between changes in coverage and changes in surface density, and can ensure that the overall sound insulation of the composite structure of the board and acoustic package remains consistent before and after the coverage adjustment.

[0127] By utilizing the above quantitative conversion relationship, the corresponding compliance surface density values ​​under different coverage rates can be quickly obtained without repeating sound insulation simulation calculations or experimental tests, which greatly improves the calculation efficiency of parameter optimization.

[0128] Furthermore, all candidate coverage rates within the preset coverage range can be traversed, and the candidate acoustic surface density corresponding to each candidate coverage rate can be calculated sequentially. By pairing and recording each set of candidate coverage rates with the corresponding candidate acoustic surface density, a complete combination of multiple candidate parameters can be obtained.

[0129] In the above implementation, by discretely traversing the coverage values ​​and solving the corresponding surface density, all alternative parameter schemes that meet the sound insulation constraints can be quickly generated, providing a complete dataset of options for subsequent selection of the optimal design.

[0130] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0131] This specification also provides an acoustic package design optimization device 500, such as... Figure 5 As shown, it includes: an initial parameter acquisition module 510, a parameter combination solution module 520, and an optimization scheme determination module 530, wherein: The initial parameter acquisition module 510 is used to acquire the initial design parameters of the acoustic package to be optimized; wherein, the initial design parameters include the initial coverage and the initial areal density of the acoustic package to be optimized.

[0132] The parameter combination solution module 520 is used to solve the parameter combination under the constraint of sound insulation based on the initial design parameters, so as to obtain the target design parameters of the acoustic package to be optimized; wherein, the target design parameters include the target coverage and the target acoustic package surface density.

[0133] The optimization scheme determination module 530 is used to determine the target optimization scheme of the acoustic package to be optimized based on the target coverage, target acoustic package surface density, initial coverage, and initial acoustic package surface density, so as to guide the design optimization of the acoustic package to be optimized.

[0134] In some implementations, the parameter combination solving module 520 is also used to solve the parameter combination under the sound insulation constraint using a preset coverage range and based on the initial design parameters to obtain candidate parameter combinations; and to determine the target design parameters of the acoustic package to be optimized from the candidate parameter combinations.

[0135] In some implementations, the parameter combination solution module 520 is also used to perform equivalent sound insulation calculation based on the initial design parameters to obtain the target sound insulation amount; based on the initial design parameters, the target sound insulation amount is used as a sound insulation amount constraint, and the objective function is used to solve the parameters within a preset coverage range to obtain candidate parameter combinations.

[0136] In some implementations, the initial design parameters also include the surface density of the board material; the parameter combination solution module 520 is also used to calculate the transmission coefficient corresponding to each frequency condition within a preset frequency range based on the initial acoustic cladding surface density and the surface density of the board material, so as to obtain a set of transmission coefficients; using the pre-design weighting coefficients, weighted calculations are performed based on the set of transmission coefficients to obtain the equivalent transmission coefficients; and the target sound insulation amount is determined based on the equivalent transmission coefficients.

[0137] In some implementations, the parameter combination solving module 520 is also used to determine the current sound insulation amount based on the initial acoustic cladding density, the sheet material surface density and the current frequency conditions for any frequency condition within a preset frequency range; calculate the current transmission coefficient based on the current sound insulation amount; traverse the preset frequency range, repeat the above steps of determining the current sound insulation amount and calculating the current transmission coefficient, and integrate all current transmission coefficients to construct a transmission coefficient set.

[0138] In some implementations, the candidate parameter combination includes multiple sets of candidate design parameters; each set of candidate design parameters includes a candidate coverage rate and a candidate acoustic surface density corresponding to the candidate coverage rate; the parameter combination solving module 520 is also used to determine the candidate coverage rate within a preset coverage rate range; wherein, the candidate coverage rate is determined by the initial coverage rate and the current coverage rate increment; the candidate acoustic surface density is determined using the candidate coverage rate, the initial coverage rate, the initial acoustic surface density, and the sheet surface density.

[0139] In some implementations, the parameter combination solving module 520 is also used to determine the candidate acoustic envelope density in the following manner: In the formula, Candidate acoustic surface density; For candidate coverage, The number of candidate design parameters; This represents the current coverage increment; This represents the initial coverage rate. The initial acoustic surface density; This refers to the surface density of the board.

[0140] Specific limitations regarding the design optimization device for an acoustic package can be found in the limitations of the design optimization method for an acoustic package described above, and will not be repeated here. Each module in the aforementioned acoustic package design optimization device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0141] In this embodiment, an acoustic package design optimization device is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0142] Please see Figure 6 , Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application, such as... Figure 6 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processor can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations. Figure 6 Take a processor 10 as an example.

[0143] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0144] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0145] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0146] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0147] The computer device also includes an input device 30 and an output device 40. The processor 10, memory 20, input device 30, and output device 40 can be connected via a bus or other means. Figure 6 Taking the example of a connection between China and Israel via a bus.

[0148] Input device 30 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the computer device, such as a touchscreen, keypad, mouse, trackpad, touchpad, joystick, one or more mouse buttons, trackball, joystick, etc. Output device 40 may include display devices, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors). The aforementioned display devices include, but are not limited to, liquid crystal displays, light-emitting diodes, displays, and plasma displays. In some alternative embodiments, the display device may be a touchscreen.

[0149] This application also provides a computer-readable storage medium. The methods described in this application can be implemented in hardware or firmware, or implemented as recordable on a storage medium, or implemented as computer code downloaded over a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium, and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the methods shown in the above embodiments are implemented.

[0150] This application provides a computer program product including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method of any embodiment of this application.

[0151] Although embodiments of this application have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of this application, and all such modifications and variations fall within the scope defined by the appended claims.

[0152] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0153] For ease of description, the above devices are described separately by function as various units. Of course, in implementing this application, the functions of each unit can be implemented in one or more software and / or hardware.

[0154] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0155] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in one or more blocks of the flowchart illustrations and / or one or more blocks of the block diagrams.

[0156] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means that implement the functions specified in one or more flowcharts and / or one or more block diagrams.

[0157] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, such that the instructions, which execute on the computer or other programmable apparatus, provide steps for implementing the functions specified in one or more flowcharts and / or one or more block diagrams.

[0158] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0159] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the apparatus embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0160] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

[0161] Although embodiments of this application have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of this application, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for designing and optimizing an acoustic package, characterized in that, The method includes: Obtain the initial design parameters of the acoustic package to be optimized; wherein, the initial design parameters include the initial coverage and the initial areal density of the acoustic package to be optimized; Based on the initial design parameters, the parameter combination solution under the sound insulation constraint is performed to obtain the target design parameters of the acoustic package to be optimized; wherein, the target design parameters include the target coverage and the target acoustic package surface density; Based on the target coverage, the target acoustic package surface density, the initial coverage, and the initial acoustic package surface density, a target optimization scheme for the acoustic package to be optimized is determined to guide the design optimization of the acoustic package to be optimized.

2. The method according to claim 1, characterized in that, The step of solving for the parameters under the sound insulation constraint based on the initial design parameters to obtain the target design parameters of the acoustic package to be optimized includes: Using a preset coverage range, the parameter combination solution is performed under the sound insulation constraint based on the initial design parameters to obtain candidate parameter combinations; The target design parameters of the acoustic package to be optimized are determined from the candidate parameter combinations.

3. The method according to claim 2, characterized in that, The step of using a preset coverage range and solving for parameter combinations under sound insulation constraints based on the initial design parameters to obtain candidate parameter combinations includes: Equivalent sound insulation calculations are performed based on the initial design parameters to obtain the target sound insulation amount; Based on the initial design parameters, the target sound insulation is used as a sound insulation constraint, and the objective function is used to solve for the parameters within the preset coverage range to obtain the candidate parameter combination.

4. The method according to claim 3, characterized in that, The initial design parameters also include the surface density of the board material; the equivalent sound insulation calculation based on the initial design parameters to obtain the target sound insulation includes: Within a preset frequency range, the transmission coefficients corresponding to each frequency condition are calculated based on the initial acoustic cladding density and the sheet material surface density to obtain a set of transmission coefficients. Using pre-designed weighting coefficients, weighted calculations are performed based on the set of transmission coefficients to obtain the equivalent transmission coefficients; The target sound insulation amount is determined based on the equivalent transmission coefficient.

5. The method according to claim 4, characterized in that, Within a preset frequency range, the transmission coefficients corresponding to each frequency condition are calculated based on the initial acoustic cladding surface density and the sheet material surface density to obtain a set of transmission coefficients, including: For any frequency condition within a preset frequency range, the current sound insulation is determined based on the initial acoustic cladding density, the board surface density, and the current frequency condition. Calculate the current transmission coefficient based on the current sound insulation level; Traverse the preset frequency range, repeat the steps of determining the current sound insulation and calculating the current transmission coefficient, and integrate all current transmission coefficients to construct the transmission coefficient set.

6. The method according to claim 3, characterized in that, The candidate parameter combination includes multiple sets of candidate design parameters; each set of candidate design parameters includes a candidate coverage rate and a candidate acoustic cladding density corresponding to the candidate coverage rate; based on the initial design parameters, the target sound insulation amount is used as a sound insulation constraint, and the objective function is used to solve for the parameters within the preset coverage range to obtain the candidate parameter combination, including: A candidate coverage rate is determined within the preset coverage rate range; wherein the candidate coverage rate is determined by the initial coverage rate and the current coverage rate increment; The candidate acoustic surface density is determined using the candidate coverage, the initial coverage, the initial acoustic surface density, and the sheet surface density.

7. The method according to claim 6, characterized in that, The candidate acoustic surface density is determined using the following method: In the formula, The candidate acoustic surface density; The candidate coverage rate, The number of candidate design parameters; This is the increment of the current coverage rate; The initial coverage rate; The initial acoustic surface density; The surface density of the board material is given.

8. A design optimization device for an acoustic package, characterized in that, The device includes: An initial parameter acquisition module is used to acquire the initial design parameters of the acoustic package to be optimized; wherein, the initial design parameters include the initial coverage and the initial areal density of the acoustic package to be optimized; The parameter combination solution module is used to solve the parameter combination under the sound insulation constraint based on the initial design parameters, so as to obtain the target design parameters of the acoustic package to be optimized; wherein, the target design parameters include the target coverage and the target acoustic package surface density; The optimization scheme determination module is used to determine the target optimization scheme of the acoustic package to be optimized based on the target coverage, the target acoustic package surface density, the initial coverage, and the initial acoustic package surface density, so as to guide the design optimization of the acoustic package to be optimized.

9. A computer device, characterized in that, include: A memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, the processor executing the computer instructions to perform the method of any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to perform the method of any one of claims 1 to 7.

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