CN114818101A

CN114818101A - Fuel oil shaking noise simulation analysis method, platform and computer storage medium

Info

Publication number: CN114818101A
Application number: CN202110087434.XA
Authority: CN
Inventors: 曾志新; 孙凯
Original assignee: Guangzhou Automobile Group Co Ltd
Current assignee: Guangzhou Automobile Group Co Ltd
Priority date: 2021-01-22
Filing date: 2021-01-22
Publication date: 2022-07-29

Abstract

The application discloses a fuel sloshing noise simulation analysis method, a platform and a computer storage medium, wherein the method comprises the following steps: establishing a noise simulation model according to input fuel tank data of the vehicle; wherein the fuel tank data at least comprises bandage data, shock pad data and breakwater data; acquiring fuel tank shell surface vibration data and node reaction forces of the surface of the shock pad and a binding band mounting point, which are correspondingly output by the noise simulation model, according to the input boundary conditions; the boundary conditions comprise the liquid level of the oil tank and the driving condition; and acquiring a fuel shaking noise value according to the vibration data of the surface of the fuel tank shell and the node counter force of the surface of the shock pad and the installation point of the binding band based on a preset calculation rule. The fuel shaking noise simulation analysis method, the fuel shaking noise simulation analysis platform and the computer storage medium can be used for rapidly and accurately predicting the fuel shaking noise without data of a whole vehicle, so that the vehicle research and development efficiency is improved, and the vehicle research and development cost is reduced.

Description

Fuel oil shaking noise simulation analysis method, platform and computer storage medium

Technical Field

The invention relates to the field of computer aided design, in particular to a simulation analysis method and a simulation analysis platform for fuel sloshing noise and a computer storage medium.

Background

In the field of automobiles, the objectionable sounds generated by the automobile during braking, turning, creeping and other working conditions are generally referred to as fuel sloshing noise. In the prior art, single product verification and subjective evaluation combined methods are generally adopted for monitoring fuel oil shaking noise, and if the fuel oil shaking noise exists, iterative optimization is realized by continuously changing the structure, but the method is time-consuming and labor-consuming and has an unsatisfactory effect. In the existing fuel oil shaking noise simulation analysis methods, the radiation sound of a fuel tank shell is used as an evaluation standard, the fuel oil shaking noise generation mechanism is not consistent, and the reliability of a calculation result is poor; and some vehicles need complete vehicle data to complete calculation, but in the early stage of actual vehicle research and development, the complete vehicle data is often difficult to obtain, and the vehicle research and development efficiency is influenced.

Disclosure of Invention

The invention aims to provide a fuel sloshing noise simulation analysis method, a fuel sloshing noise simulation analysis platform and a computer storage medium, which can quickly and accurately predict fuel sloshing noise without vehicle data, improve vehicle research and development efficiency and reduce vehicle research and development cost.

In order to achieve the purpose, the technical scheme of the invention is realized as follows:

in a first aspect, an embodiment of the present invention provides a fuel sloshing noise simulation analysis method, where the method includes:

establishing a noise simulation model according to input fuel tank data of the vehicle; wherein the fuel tank data at least comprises bandage data, shock pad data and breakwater data;

acquiring fuel tank shell surface vibration data and node reaction forces of the surface of the shock pad and a binding band mounting point, which are correspondingly output by the noise simulation model, according to the input boundary conditions; the boundary conditions comprise the liquid level of a fuel tank and the running condition;

and acquiring a fuel shaking noise value according to the vibration data of the surface of the fuel tank shell and the node counter force of the surface of the damping pad and the mounting point of the binding band based on a preset calculation rule.

As one embodiment, the acquiring fuel sloshing noise values according to the vibration data of the surface of the fuel tank shell and the node reaction forces of the surface of the shock absorption pad and the installation point of the binding band based on the preset calculation rule comprises:

acquiring a radiation noise value of the fuel tank shell according to the vibration data of the surface of the fuel tank shell;

and calculating a fuel sloshing noise value P according to a formula P (A X + B2Y), wherein A and B are preset weighting coefficients, X is a fuel tank shell radiation noise value, and Y is the maximum value between a node reaction force value on the surface of the shock pad and a node reaction force value of the binding band mounting point.

In one embodiment, a is 0.2 and B is 0.8.

As one of the implementation modes, the method further comprises the following steps:

when the fuel oil shaking noise value meets a preset condition, judging that the fuel oil shaking noise is qualified; and/or the presence of a gas in the gas,

and when the fuel oil shaking noise value does not meet the preset condition, judging that the fuel oil shaking noise is unqualified.

In one embodiment, the preset condition is that the fuel tank shell radiation noise value is smaller than or equal to a preset noise threshold value.

As one embodiment, before the building the noise simulation model according to the input fuel tank data of the vehicle, the method further includes:

the method comprises the steps of performing gridding division on input fuel tank data of a vehicle, and establishing a noise simulation model according to the fuel tank data after the gridding division.

As one embodiment, before the gridding the input fuel tank data of the vehicle, the method further includes:

and carrying out preset geometric processing on the input fuel tank data.

As one embodiment, the preset geometric processing includes at least coincidence surface processing and interface surface processing.

In a second aspect, an embodiment of the present invention provides a fuel sloshing noise simulation analysis platform, where the platform includes a processor and a memory for storing a program; when the program is executed by the processor, the processor implements the fuel sloshing noise simulation analysis method according to the first aspect.

In a third aspect, an embodiment of the present invention provides a computer storage medium, which stores a computer program, and when the computer program is executed by a processor, the method for simulation analysis of fuel sloshing noise according to the first aspect is implemented.

The embodiment of the invention provides a fuel oil shaking noise simulation analysis method, a platform and a computer storage medium, wherein the method comprises the following steps: establishing a noise simulation model according to input fuel tank data of the vehicle; wherein the fuel tank data at least comprises bandage data, shock pad data and breakwater data; acquiring fuel tank shell surface vibration data and node reaction forces of the surface of the shock pad and a binding band mounting point, which are correspondingly output by the noise simulation model, according to the input boundary conditions; the boundary conditions comprise the liquid level of a fuel tank and the running condition; and acquiring a fuel shaking noise value according to the vibration data of the surface of the fuel tank shell and the node counter force of the surface of the shock pad and the installation point of the binding band based on a preset calculation rule. Therefore, the fuel oil shaking noise value is directly calculated according to the fuel tank data of the vehicle and the input boundary condition, namely, the fuel oil shaking noise can be quickly and accurately predicted under the condition that two large transmission paths of the fuel oil shaking noise are included and the data of the whole vehicle is not needed, the vehicle research and development efficiency is improved, the vehicle research and development period is shortened, and the vehicle research and development cost is reduced.

Drawings

FIG. 1 is a schematic flow chart of a fuel sloshing noise simulation analysis method according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a fuel sloshing noise simulation analysis platform provided in an embodiment of the present invention.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element, and further, where similarly-named elements, features, or elements in different embodiments of the disclosure may have the same meaning, or may have different meanings, that particular meaning should be determined by their interpretation in the embodiment or further by context with the embodiment.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used in this specification, specify the presence of stated features, steps, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, steps, operations, elements, components, species, and/or groups thereof. The terms "or" and/or "as used herein are to be construed as inclusive or meaning any one or any combination. Thus, "A, B or C" or "A, B and/or C" means "any of the following: a; b; c; a and B; a and C; b and C; A. b and C ". An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some way.

It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, in different orders, and may be performed alternately or at least partially with respect to other steps or sub-steps of other steps.

It should be noted that step numbers such as S101 and S102 are used herein for the purpose of more clearly and briefly describing the corresponding contents, and do not constitute a substantial limitation on the sequence, and those skilled in the art may perform S102 first and then S101 in specific implementations, but these steps should be within the scope of the present application.

It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module", "component" or "unit" may be used mixedly.

Referring to fig. 1, a schematic flow diagram of a fuel sloshing noise simulation analysis method provided in an embodiment of the present invention is shown, where the fuel sloshing noise simulation analysis method may be executed by a fuel sloshing noise simulation analysis platform provided in an embodiment of the present invention, and the platform may be implemented in a software and/or hardware manner, and the fuel sloshing noise simulation analysis method includes the following steps:

step S101: establishing a noise simulation model according to input fuel tank data of the vehicle; wherein the fuel tank data at least comprises bandage data, shock pad data and breakwater data;

in the embodiment, the noise simulation model is established based on the simulation analysis software Intesim, and after the Intesim software is opened, the fuel tank data of the vehicle is input into the Intesim software, so that the noise simulation model is established. Here, the fuel tank data of the vehicle is 3D data.

In an embodiment, before the building the noise simulation model according to the input fuel tank data of the vehicle, the method may further include: the method comprises the steps of performing gridding division on input fuel tank data of a vehicle, and establishing a noise simulation model according to the fuel tank data after the gridding division. Here, the user may input a grid size as needed to grid the fuel tank data of the vehicle according to the input grid size, thereby improving the efficiency and accuracy of subsequent calculations. In the embodiment, the fuel tank data of the vehicle is subjected to grid division by Hypermesh based on simulation analysis software, and then the fuel tank data subjected to grid division is sent to Intesim software by the Hypermesh software to establish a noise simulation model. In addition, before the gridding the input fuel tank data of the vehicle, the method may further include: and carrying out preset geometric processing on the input fuel tank data. In the method, the Hypermesh software can be used for carrying out preset geometric processing on the input fuel tank data so as to improve the quality of the fuel tank data and further improve the efficiency of subsequent calculation. The preset geometric processing includes, but is not limited to, coincidence surface processing, interface processing and the like.

Step S102: acquiring fuel tank shell surface vibration data and node reaction forces of the surface of the shock pad and a binding band mounting point, which are correspondingly output by the noise simulation model, according to the input boundary conditions; the boundary conditions comprise the liquid level of a fuel tank and the running condition;

here, the oil tank liquid level with the operating mode of traveling can set up according to actual need, the oil tank liquid level can be for concrete numerical value such as 10L, 30L etc. also can be for relative numerical value such as one fifth of oil tank total height, quarter three etc. and the operating mode of traveling can be operating mode such as left turn, turn right, brake, high speed driving, low speed driving. In this embodiment, for example, based on simulation analysis software Intesim fuel tank shell surface vibration data and node reaction forces of the shock pad surface and the strap mounting point, after a boundary condition is input into the Intesim software, the Intesim software obtains fuel tank shell surface vibration data and node reaction forces of the shock pad surface and the strap mounting point, which are output by the noise simulation model correspondingly. Note that the nodal reaction force of the cushion surface and the nodal reaction force of the strap mounting point are both time-varying, having a maximum value and a minimum value, respectively.

Step S103: and acquiring a fuel shaking noise value according to the vibration data of the surface of the fuel tank shell and the node counter force of the surface of the shock pad and the installation point of the binding band based on a preset calculation rule.

Specifically, based on predetermine calculation rule, according to fuel tank shell surface vibration data and the node counter-force of shock pad surface and bandage mounting point obtains fuel and rocks noise value, include: acquiring a radiation noise value of the fuel tank shell according to the vibration data of the surface of the fuel tank shell; and calculating a fuel shaking noise value P according to a formula P, wherein A and B are preset weighting coefficients, X is a radiation noise value of the fuel tank shell, and Y is the maximum value between a node reaction value on the surface of the shock pad and a node reaction value of the binding belt mounting point.

It should be noted that the radiation noise value of the fuel tank shell refers to a numerical part of the radiation noise of the fuel tank shell and does not include a unit dB, and correspondingly, the node reaction force value of the surface of the shock pad and the node reaction force value of the strap mounting point both refer to a numerical part of the corresponding node reaction force and do not include a unit N. And Y is actually the maximum value between the maximum nodal reaction force value of the cushion surface and the maximum nodal reaction force value of the strap mounting point. The values of the preset weighting coefficients a and B may be set according to actual needs, and in this embodiment, for example, a is 0.2 and B is 0.8. In the embodiment, a fuel tank shell radiation noise value is obtained according to the surface vibration data of the fuel tank shell based on the Virtual Lab of the simulation analysis software, and the fuel sloshing noise value is calculated based on the Python of the simulation analysis software.

Optionally, the method may further include: when the fuel oil shaking noise value meets a preset condition, judging that the fuel oil shaking noise is qualified; and/or judging that the fuel shaking noise is unqualified when the fuel shaking noise value does not meet the preset condition. Specifically, after the fuel oil shaking noise value is obtained, whether the fuel oil shaking noise value meets a preset condition or not is judged, and if the fuel oil shaking noise value meets the preset condition, the fuel oil shaking noise is judged to be qualified; and if the fuel oil shaking noise value does not meet the preset condition, judging that the fuel oil shaking noise is unqualified. The preset condition may be set according to actual requirements, for example, the preset condition is that the fuel sloshing noise value is less than or equal to a preset noise threshold, and the preset noise threshold may be equal to or greater than 50.

In summary, in the fuel sloshing noise simulation analysis method provided by the embodiment, under the condition that the data of the whole vehicle is not needed, the noise simulation model is only needed to be established based on the fuel tank data of the vehicle, and then the fuel sloshing noise under different fuel tank liquid levels and different driving working conditions is obtained based on the noise simulation model, namely, under the condition that two transmission paths of the fuel sloshing noise are included and the data of the whole vehicle is not needed, the fuel sloshing noise can be predicted quickly and accurately, the vehicle research and development efficiency is improved, the vehicle research and development period is shortened, and the vehicle research and development cost is reduced.

Based on the same inventive concept of the foregoing embodiments, the present embodiment describes technical solutions of the foregoing embodiments in detail through specific examples. The specific flow of the fuel sloshing noise simulation analysis method provided by the embodiment of the invention mainly comprises the following steps:

1) importing fuel tank data (including a binding band, a shock pad, a wave-proof plate and the like) into simulation analysis pre-processing software Hypermesh to complete geometric processing and grid division;

2) importing the grid processed by simulation analysis preprocessing software Hypermesh into simulation analysis software Intesim to establish a simulation model, and calculating to obtain the vibration data of the surface of the fuel tank shell and the node counter force of the binding band mounting point and the damping pad surface after finishing boundary setting;

3) calculating the radiation noise of the fuel tank shell by using simulation analysis software Virtual Lab based on the vibration data of the surface of the fuel tank shell;

4) calculating fuel shaking noise P by using simulation analysis software Python based on a set fitting formula P (A X + B2Y), wherein A and B are preset weighting coefficients, A is 0.2, B is 0.8, X is fuel tank shell radiation noise, and Y is the maximum value between the node counter force on the surface of the shock pad and the node counter force of the binding band mounting point; here, X is generally 40dB to 60dB, and Y is generally 20N to 70N, and the numerical value part may be taken at the time of calculation.

4) And if the fuel oil shaking noise P is larger than 50, determining that the fuel oil shaking noise P is unqualified, and if the fuel oil shaking noise P is smaller than or equal to 50, determining that the fuel oil shaking noise P is qualified.

In conclusion, in the fuel sloshing noise simulation analysis method provided by the embodiment, complete vehicle body data is not needed, two transmission paths of the fuel sloshing noise are still included, the fuel sloshing noise can be accurately evaluated at the stage of incomplete vehicle body data, laboratory resources are saved, test cost is reduced, and engineering mechanisms are met; secondly, the efficiency of optimizing key parts of fuel oil shaking noise is improved, and the development cost is reduced; in addition, the fuel oil shaking noise risk level evaluation time in the whole vehicle development process is moved forward, the development period is shortened, and the iteration efficiency is improved.

Based on the same inventive concept of the foregoing embodiment, an embodiment of the present invention provides a fuel sloshing noise simulation analysis platform, as shown in fig. 2, including: a processor 110 and a memory 111 for storing computer programs capable of running on the processor 110; the processor 110 illustrated in fig. 2 is not used to refer to the number of the processors 110 as one, but is only used to refer to the position relationship of the processor 110 relative to other devices, and in practical applications, the number of the processors 110 may be one or more; similarly, the memory 111 illustrated in fig. 2 is also used in the same sense, that is, it is only used to refer to the position relationship of the memory 111 relative to other devices, and in practical applications, the number of the memory 111 may be one or more. The processor 110 is configured to implement the fuel sloshing noise simulation analysis method when running the computer program.

The platform may further comprise: at least one network interface 112. The various components in the platform are coupled together by a bus system 113. It will be appreciated that the bus system 113 is used to enable communications among the components. The bus system 113 includes a power bus, a control bus, and a status signal bus in addition to the data bus. For clarity of illustration, however, the various buses are labeled as bus system 113 in FIG. 2.

The memory 111 may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories. Among them, the nonvolatile Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a magnetic random access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced DRAM), Synchronous Dynamic Random Access Memory (SLDRAM), Direct Memory (DRmb Access), and Random Access Memory (DRAM). The memory 111 described in connection with the embodiments of the invention is intended to comprise, without being limited to, these and any other suitable types of memory.

The memory 111 in embodiments of the present invention is used to store various types of data to support the operation of the platform. Examples of such data include: any computer program for operation on the platform, such as operating systems and application programs; contact data; telephone book data; a message; a picture; video, etc. The operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is used for implementing various basic services and processing hardware-based tasks. The application programs may include various application programs such as a Media Player (Media Player), a Browser (Browser), etc. for implementing various application services. Here, a program that implements the method of the embodiment of the present invention may be included in the application program.

Based on the same inventive concept of the foregoing embodiments, this embodiment further provides a computer storage medium, where a computer program is stored, and the computer storage medium may be a Memory such as a magnetic random access Memory (FRAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Flash Memory (Memory), a magnetic surface Memory, a Flash Memory, or a Compact Disc Read Only Memory (CD-ROM), and the like; or may be a variety of devices including one or any combination of the above memories, such as a mobile phone, computer, tablet device, personal digital assistant, etc. When a computer program stored in the computer storage medium is run by a processor, the fuel sloshing noise simulation analysis method is realized. Please refer to the description of the embodiment shown in fig. 1 for a specific step flow realized when the computer program is executed by the processor, which is not described herein again.

The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

As used herein, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, including not only those elements listed, but also other elements not expressly listed.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims

1. A fuel sloshing noise simulation analysis method is characterized by comprising the following steps:

2. The method of claim 1, wherein obtaining the fuel sloshing noise value from the fuel tank shell surface vibration data and the nodal reactions of the shock pad surface and strap mounting points based on preset calculation rules comprises:

3. The method of claim 2, wherein a is 0.2 and B is 0.8.

4. The method of claim 1 or 2, further comprising:

5. The method of claim 4, wherein the predetermined condition is that the fuel slosh noise value is less than or equal to a predetermined noise threshold.

6. The method of claim 1, wherein prior to said building a noise simulation model from the input fuel tank data of the vehicle, further comprising:

7. The method of claim 6, wherein prior to said gridding the incoming vehicle fuel tank data, further comprising:

and carrying out preset geometric processing on the input fuel tank data.

8. The method according to claim 7, wherein the pre-set geometrical treatment comprises at least a coincidence plane treatment and an interface surface treatment.

9. A fuel sloshing noise simulation analysis platform is characterized by comprising a processor and a memory for storing a program; when the program is executed by the processor, the processor is caused to implement the fuel sloshing noise simulation analysis method according to any one of claims 1 to 8.

10. A computer storage medium, characterized in that a computer program is stored, which when executed by a processor implements the fuel sloshing noise simulation analysis method according to any one of claims 1 to 8.