CN114076684A - Method and device for determining noise contribution amount, storage medium and electronic equipment - Google Patents
Method and device for determining noise contribution amount, storage medium and electronic equipment Download PDFInfo
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- CN114076684A CN114076684A CN202010838818.6A CN202010838818A CN114076684A CN 114076684 A CN114076684 A CN 114076684A CN 202010838818 A CN202010838818 A CN 202010838818A CN 114076684 A CN114076684 A CN 114076684A
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Abstract
The method determines a first main driving right ear sound pressure level and a second main driving right ear sound pressure level of a target detection position in a sound insulation state under the current working condition through a pre-established noise propagation simulation model, and determines the noise contribution amount at the target detection position according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level, so that the noise contribution amount at the target detection position is determined through the noise propagation simulation model, the detection efficiency of the noise contribution amount can be improved, the problem that more detection cost needs to be invested in entity detection can be avoided, and the manufacturing cost of the whole vehicle is reduced.
Description
Technical Field
The present disclosure relates to the field of vehicle technologies, and in particular, to a method and an apparatus for determining a noise contribution amount, a storage medium, and an electronic device.
Background
With the development of science and technology, the living standard is improved, and people have higher and higher requirements on vehicle performance, wherein vehicle noise is one of important indexes for representing the vehicle performance. In order to improve the vehicle performance and reduce the influence of noise on the vehicle user experience, the contribution amount of each part in the vehicle to the noise in the vehicle needs to be tested in the vehicle development process, so that a noise reduction measure is implemented according to the contribution amount of each part to the noise in the vehicle, the noise in the vehicle is reduced, and the vehicle user experience is improved.
At present, when the contribution amount of each part in a vehicle to noise in the vehicle is tested, a sample piece and special test equipment of the part need to be prepared, and the contribution amount of the part to the noise in the vehicle is tested through the special test equipment, so that the contribution amount of the part to the noise in the vehicle is obtained.
Disclosure of Invention
The purpose of the present disclosure is to provide a method, an apparatus, a storage medium, and an electronic device for determining a noise contribution amount.
To achieve the above object, a first aspect of the present disclosure provides a method of determining a noise contribution amount, the method including:
acquiring a first sound absorption and insulation parameter and a noise parameter of a vehicle under the current working condition;
determining a first main driving right ear sound pressure level under the current working condition through a pre-established noise propagation simulation model according to the first sound absorption and insulation parameter and the noise parameter;
acquiring a second sound absorption and insulation parameter, wherein the second sound absorption and insulation parameter is a sound absorption and insulation parameter when a target detection position in the vehicle is in a sound insulation state under the current working condition;
determining a sound pressure level of a second main driving right ear of the target detection position in a sound insulation state through a pre-established noise propagation simulation model according to the second sound absorption and insulation parameter and the noise parameter;
and determining the noise contribution amount at the target detection position according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level.
Optionally, the noise propagation simulation model is generated by:
acquiring sound absorption and insulation parameters of each part in the vehicle;
constructing an SEA flat plate model of the vehicle according to the sound absorption and insulation parameters;
generating an internal sound cavity inside the SEA flat plate model according to the sound transmission medium under the current working condition, and generating an external sound cavity outside the SEA flat plate model;
constructing a diffuse sound field on the surface of the external sound cavity;
acquiring noise parameters of the vehicle under any working condition;
and constructing a simulated sound source on the external sound cavity according to the noise parameters to form the noise propagation simulation model.
Optionally, the obtaining a second sound absorption and insulation parameter includes:
generating a target acoustic package model at the target detection location, the target acoustic package model being used to characterize the target detection location in the noise propagation simulation model as being in the acoustic isolation state;
and taking the sound absorption and insulation parameter of the target acoustic bag model as the second sound absorption and insulation parameter.
Optionally, the determining the noise contribution amount at the target detection position according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level includes:
acquiring a difference value between a first main driving right ear sound pressure level and a second main driving right ear sound pressure level;
and taking the ratio of the difference value to the sound pressure level of the first main driving right ear as the noise contribution amount at the target detection position.
In a second aspect of the present disclosure there is provided an apparatus for determining a noise contribution, the apparatus comprising:
the first acquisition module is used for acquiring a first sound absorption and insulation parameter and a noise parameter of the vehicle under the current working condition;
the first determining module is used for determining the sound pressure level of a first main driving right ear under the current working condition through a pre-established noise propagation simulation model according to the first sound absorption and insulation parameter and the noise parameter;
the second acquisition module is used for acquiring a second sound absorption and insulation parameter, wherein the second sound absorption and insulation parameter is a sound absorption and insulation parameter when a target detection position in the vehicle is in a sound insulation state under the current working condition;
the second determination module is used for determining the sound pressure level of a second main driving right ear of the target detection position in a sound insulation state through a pre-established noise propagation simulation model according to the second sound absorption and insulation parameter and the noise parameter;
a third determining module, configured to determine a noise contribution amount at the target detection position according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level.
Optionally, the noise propagation simulation model is generated by:
acquiring sound absorption and insulation parameters of each part in the vehicle;
constructing an SEA flat plate model of the vehicle according to the sound absorption and insulation parameters;
generating an internal sound cavity inside the SEA flat plate model according to the sound transmission medium under the current working condition, and generating an external sound cavity outside the SEA flat plate model;
constructing a diffuse sound field on the surface of the external sound cavity;
acquiring noise parameters of the vehicle under any working condition;
and constructing a simulated sound source on the external sound cavity according to the noise parameters to form the noise propagation simulation model.
Optionally, the second obtaining module includes:
a generation submodule for generating a target acoustic package model at the target detection location, the target acoustic package model being used to characterize the target detection location in the noise propagation simulation model as being in the acoustic isolation state;
and the first determining submodule is used for taking the sound absorption and insulation parameter of the target acoustic bag model as the second sound absorption and insulation parameter.
Optionally, the third determining module includes:
the acquisition submodule is used for acquiring a difference value between a first main driving right ear sound pressure level and the second main driving right ear sound pressure level;
and the second determination submodule is used for taking the ratio of the difference value to the sound pressure level of the first main driving right ear as the noise contribution amount at the target detection position.
In a third aspect of the present disclosure there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the method as set forth in the first aspect above.
In a fourth aspect of the present disclosure, there is provided an electronic device comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the method of the first aspect above.
According to the technical scheme, the sound pressure level of the first main driving right ear under the current working condition and the sound pressure level of the second main driving right ear of the target detection position under the sound insulation state are determined through the pre-established noise propagation simulation model, and the noise contribution amount at the target detection position is determined according to the sound pressure level of the first main driving right ear and the sound pressure level of the second main driving right ear, so that the noise contribution amount at the target detection position is determined through the noise propagation simulation model, the detection efficiency of the noise contribution amount can be improved, the problem that more detection cost needs to be invested in entity detection can be avoided, and the manufacturing cost of the whole vehicle can be reduced.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow chart illustrating a method of determining a noise contribution according to an exemplary embodiment of the present disclosure;
FIG. 2 is a flow chart illustrating a method of determining a noise contribution according to another example embodiment of the present disclosure;
FIG. 3 is a block diagram of an apparatus for determining a noise contribution amount, shown in yet another exemplary embodiment of the present disclosure;
FIG. 4 is a block diagram illustrating an electronic device in accordance with an example embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
Before describing the specific embodiments of the present disclosure in detail, the following description is first made on an application scenario of the present disclosure, and the present disclosure may be applied to a test process of a contribution amount of each component in a vehicle to noise in the vehicle, and generally, in order to improve user experience, a contribution amount of each component in the vehicle to noise in the vehicle needs to be tested in a vehicle development process, so as to implement a noise reduction measure according to the contribution amount of each component to noise in the vehicle (for example, a sound insulation layer is added at a component with a large noise contribution amount, or a material of a component with a large noise contribution amount is adjusted to increase a sound insulation effect of the component), so as to reduce noise in the vehicle. In the related art, when testing the contribution amount of each component in a vehicle to noise in the vehicle, it is generally required to test the noise contribution amount corresponding to a sample of the component by using a special testing device, and after a certain component in the vehicle is modified (for example, the shape, size and material of the component are modified), it is required to prepare a sample corresponding to the modified component and retest the noise contribution amount corresponding to the component. Since a sample of the component to be tested needs to be prepared for each test and a special test device is needed for the test, the test cost required for the test process of the whole noise contribution amount is too high, which is not favorable for reducing the manufacturing cost of the vehicle.
In order to solve the technical problems, the method determines a first main driving right ear sound pressure level and a second main driving right ear sound pressure level of a target detection position in a sound insulation state under the current working condition through a pre-established noise propagation simulation model, and determines the noise contribution amount at the target detection position according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level, so that the noise contribution amount at the target detection position is determined through the noise propagation simulation model, the detection efficiency of the noise contribution amount can be improved, the problem that more detection cost needs to be invested in entity detection can be avoided, and the manufacturing cost of the whole vehicle can be reduced.
FIG. 1 is a flow chart illustrating a method of determining a noise contribution according to an exemplary embodiment of the present disclosure; referring to fig. 1, the method may include the steps of:
The first sound absorption and insulation parameter can comprise the sound absorption coefficient and the sound insulation coefficient of each part of the vehicle in the current hardware configuration state, the sound absorption coefficient is used for representing the sound absorption capacity of a material or a structure, the sound insulation coefficient is used for representing the sound insulation capacity of the material or the structure, the parts comprise a sheet metal part of the vehicle, a vehicle interior part and a seat part, and the vehicle interior part can comprise a door inner protective surface, a carpet, a ceiling and the like. The noise parameters include the positions of sound sources emitting noise and the noise volume corresponding to each sound source position.
For example, the current operating condition may be at least one of starting, accelerating, uniform-speed running, decelerating running, ascending running, descending running, turning process, parking waiting and other running conditions of the vehicle in the current hardware configuration state, and may also be at least one of gear shifting, gear-out sliding, neutral sliding, accelerating sliding, parking sliding, emergency braking, speed control braking, brake braking, throttle speed control, steering, backing and other running conditions of the vehicle in the current hardware configuration state.
And 102, determining the sound pressure level of the first main driving right ear under the current working condition through a pre-established noise propagation simulation model according to the first sound absorption and insulation parameter and the noise parameter.
The sound pressure level of the first main driving right ear is used for representing the sound intensity which can be received in the area where the main driving right ear is located in the vehicle under the current working condition.
It should be noted that the noise propagation simulation model may be pre-established in the following manner: acquiring sound absorption and insulation parameters of each part in the vehicle; constructing an SEA (Statistical Energy Analysis) flat plate model of the vehicle according to the sound absorption and insulation parameters; generating an internal acoustic cavity inside the SEA flat plate model according to the sound transmission medium under the current working condition, and generating an external acoustic cavity outside the SEA flat plate model; constructing a diffused sound field on the surface of the external sound cavity; acquiring noise parameters of the vehicle under any working condition; and constructing a simulated sound source on the external sound cavity according to the noise parameters to form the noise propagation simulation model. The inner sound cavity is used for representing the propagation space of sound in the vehicle, the outer sound cavity is used for representing the propagation space of sound outside the vehicle, and the area (test point) where the main driving right ear is located in the inner sound cavity.
And 103, acquiring a second sound absorption and insulation parameter.
The second sound absorption and insulation parameter is a sound absorption and insulation parameter when a target detection position in the vehicle is in a sound insulation state under the current working condition, and the second sound absorption and insulation parameter comprises a sound absorption coefficient and a sound insulation coefficient when the target detection position is in the sound insulation state, and further comprises a sound absorption coefficient and a sound insulation coefficient of parts at other positions except the target detection position.
In this step, a target acoustic package model may be generated at the target detection position, the target acoustic package model being used to characterize that the target detection position is in the sound insulation state in the noise propagation simulation model; and taking the sound absorption and insulation parameter of the target acoustic bag model as the second sound absorption and insulation parameter.
It should be noted that the target detection position may be a corresponding position of any position in the vehicle in the noise propagation simulation model. Alternatively, the target detection position may be a corresponding position of any one of a floor, a door, a ceiling, or a rear wall in the noise propagation simulation model in the physical vehicle. And under the condition that the target detection position is the corresponding position of the floor in the vehicle, the corresponding sound absorption coefficient is zero when the floor in the vehicle is in a sound insulation state, and the sound insulation coefficient is infinite.
And 104, determining the sound pressure level of a second main driving right ear of the target detection position in a sound insulation state through a pre-established noise propagation simulation model according to the second sound absorption and insulation parameter and the noise parameter.
And the sound pressure level of the second main driving right ear is used for representing the sound intensity which can be received in the area where the main driving right ear is located in the vehicle under the condition that the target detection position in the vehicle is in a sound insulation state under the current working condition.
In one possible implementation manner of this step, the second sound absorption and insulation parameter and the noise parameter are input into a terminal running the noise propagation simulation model, so that the noise propagation simulation model outputs a second main driving right ear sound pressure level of the target detection position in a sound insulation state.
And 105, determining the noise contribution amount at the target detection position according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level.
One possible implementation manner in this step is: acquiring a difference value between the sound pressure level of a first main driving right ear and the sound pressure level of a second main driving right ear; and taking the ratio of the difference value to the first main driving right ear sound pressure level as the noise contribution amount at the target detection position.
According to the technical scheme, the first main driving right ear sound pressure level under the current working condition and the second main driving right ear sound pressure level of the target detection position in the sound insulation state are determined through the pre-established noise propagation simulation model, and the noise contribution amount of the target detection position is determined according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level, so that the noise contribution amount of the target detection position is determined through the noise propagation simulation model, the detection efficiency of the noise contribution amount can be improved, the problem that more detection cost needs to be invested in entity detection can be avoided, and the manufacturing cost of the whole vehicle is favorably reduced.
FIG. 2 is a flow chart illustrating a method of determining a noise contribution according to another example embodiment of the present disclosure; referring to fig. 2, the method may include the steps of:
The parts can comprise a sheet metal part, a vehicle interior part and a seat part of a vehicle, wherein the vehicle interior part can comprise parts such as a door inner protective surface, a carpet, a ceiling and the like, and the sound absorption and insulation parameters can comprise sound absorption coefficients and sound insulation coefficients of materials corresponding to the parts.
And 202, constructing an SEA flat plate model of the vehicle according to the sound absorption and insulation parameters.
It should be noted that the SEA flat model may be created in VAOne software, the VAOne software may be capable of simulating a full-band vibration noise analysis environment, a specific implementation manner for creating the SEA flat model in the VAOne software is common in the prior art, and the implementation manner for constructing the SEA flat model in this step may refer to an SEA flat model construction manner in the prior art, which is not limited by the present disclosure.
And 203, generating an internal sound cavity inside the SEA flat plate model according to the sound transmission medium under the current working condition, and generating an external sound cavity outside the SEA flat plate model.
Wherein the interior acoustic cavity is configured to characterize a propagation space of sound inside the vehicle and the exterior acoustic cavity is configured to characterize a propagation space of sound outside the vehicle.
It should be noted that the external acoustic cavity may be a region corresponding to a space within a preset distance range from the vehicle in the SEA flat model, and the internal acoustic cavity may be a region corresponding to a space inside the vehicle in the SEA flat model. The vehicle interior may be a space corresponding to a passenger compartment of the vehicle, and the vehicle exterior may be a space other than a sheet metal structure of the vehicle.
And step 204, constructing a diffuse sound field on the surface of the external sound cavity.
The noise parameters comprise sound source positions emitting noise and noise volumes corresponding to the sound source positions.
And step 206, constructing a simulated sound source on the external sound cavity according to the noise parameters to form the noise propagation simulation model.
The noise propagation simulation model is used for testing the sound size which can be received by a main driving right ear part in the vehicle, and the main driving right ear part is positioned in the internal sound cavity.
In this way, the noise propagation simulation model can be generated by the method described in the above steps 201 to 206, and after the noise propagation simulation model is generated, the detection of the noise contribution amount at the target detection position in the vehicle can be realized by the following steps 207 to 213.
And step 207, acquiring a first sound absorption and insulation parameter and a noise parameter of the vehicle under the current working condition.
The first sound absorption and insulation parameter may include a sound absorption coefficient and a sound insulation coefficient of each component of the vehicle in a current hardware configuration state, where the component includes a sheet metal component of the vehicle, a vehicle interior part, and a seat part, and the vehicle interior part may include a door trim, a carpet, a ceiling, and other parts. The noise parameters include the positions of sound sources emitting noise and the noise volume corresponding to each sound source position.
And 208, determining the sound pressure level of the first main driving right ear under the current working condition through a pre-established noise propagation simulation model according to the first sound absorption and insulation parameter and the noise parameter.
The first master driving right ear sound pressure level is used for representing the sound intensity which can be received in the area where the master driving right ear is located in the vehicle under the current working condition, and the noise propagation simulation model is generated in the steps 201 to 206. In this step, only the application of the noise propagation simulation model is performed, for example, the first sound absorption and insulation parameter and the noise parameter may be input in a terminal running the noise propagation simulation model, so that the noise propagation simulation model outputs the first main driving right ear sound pressure level of the target detection position in the sound insulation state.
At the target detection location, a target acoustic package model is generated, step 209.
Wherein the target acoustic envelope model is used to characterize the target detection location in the noise propagation simulation model as being in the acoustic isolation state. The target acoustic package model is used to simulate a target acoustic package added in a physical vehicle, wherein the target acoustic package belongs to a fully-soundproof acoustic package.
The acoustic Package (english Sound Package) is an acoustic material Package designed to achieve the performance of NVH (Noise Vibration Harshness) of the entire vehicle, for example, a front wall Sound insulation pad of an engine compartment, a Sound absorption material of an interior trim, a blockage of each leakage hole, a position of a sheet metal expansion glue, and the like.
And step 210, taking the sound absorption and insulation parameter of the target acoustic bag model as the second sound absorption and insulation parameter.
And the second sound absorption and insulation parameter is the sound absorption and insulation parameter when the target detection position in the vehicle is in a sound insulation state under the current working condition. The second sound absorption and insulation parameter comprises a sound absorption coefficient and a sound insulation coefficient when the target detection position is in a sound insulation state, and further comprises the sound absorption coefficient and the sound insulation coefficient of parts at other positions except the target detection position.
For example, the target detection position may be a corresponding position of any one of a floor, a door, a ceiling, or a rear wall in the physical vehicle in the noise propagation simulation model. Under the condition that the target detection position is the corresponding position of the floor in the vehicle, a target acoustic package model is generated at the floor in the vehicle in the noise propagation simulation model and used for simulating a target acoustic package, if the sound absorption coefficient corresponding to the target acoustic package is zero, the sound insulation coefficient is infinite, namely, the sound absorption and insulation parameter of the target acoustic package model is zero, the sound insulation coefficient is infinite, correspondingly, the second sound absorption and insulation parameter is zero, and the sound insulation coefficient is infinite.
And step 211, determining the sound pressure level of the second main driving right ear of the target detection position in a sound insulation state through a pre-established noise propagation simulation model according to the second sound absorption and insulation parameter and the noise parameter.
In this step, the second sound absorption and insulation parameter and the noise parameter are input into a terminal running the noise propagation simulation model, so that the noise propagation simulation model outputs a second main driving right ear sound pressure level of the target detection position in a sound insulation state.
In step 213, the ratio of the difference to the first primary right-ear sound pressure level is used as the noise contribution amount at the target detection position.
For example, if the first primary right-ear sound pressure level is V1 and the second primary right-ear sound pressure level is V2, the noise contribution amount at the target detection position is V2
According to the technical scheme, the first main driving right ear sound pressure level under the current working condition and the second main driving right ear sound pressure level of the target detection position in the sound insulation state are determined through the pre-established noise propagation simulation model, and the noise contribution amount of the target detection position is determined according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level, so that the noise contribution amount of the target detection position is determined through the noise propagation simulation model, the detection efficiency of the noise contribution amount can be improved, the problem that more detection cost needs to be invested in entity detection can be avoided, and the manufacturing cost of the whole vehicle is favorably reduced.
FIG. 3 is a block diagram of an apparatus for determining a noise contribution amount, shown in yet another exemplary embodiment of the present disclosure; referring to fig. 3, the apparatus may include:
the first obtaining module 301 is configured to obtain a first sound absorption and insulation parameter and a noise parameter of a vehicle under a current working condition;
a first determining module 302, configured to determine, according to the first sound absorption and insulation parameter and the noise parameter, a first master right ear sound pressure level under the current working condition through a pre-established noise propagation simulation model;
a second obtaining module 303, configured to obtain a second sound absorption and insulation parameter, where the second sound absorption and insulation parameter is a sound absorption and insulation parameter when a target detection position in the vehicle is in a sound insulation state under the current working condition;
a second determining module 304, configured to determine, according to the second sound absorption and insulation parameter and the noise parameter, a second main driving right ear sound pressure level of the target detection position in a sound insulation state through a pre-established noise propagation simulation model;
a third determining module 305 for determining a noise contribution at the target detection position based on the first primary right-ear driving sound pressure level and the second primary right-ear driving sound pressure level.
Therefore, the first main driving right ear sound pressure level under the current working condition and the second main driving right ear sound pressure level of the target detection position in the sound insulation state are determined through the pre-established noise propagation simulation model, and the noise contribution amount of the target detection position is determined according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level.
Optionally, the noise propagation simulation model is generated by:
acquiring sound absorption and insulation parameters of each part in the vehicle;
constructing an SEA flat plate model of the vehicle according to the sound absorption and insulation parameters;
generating an internal acoustic cavity inside the SEA flat plate model according to the sound transmission medium under the current working condition, and generating an external acoustic cavity outside the SEA flat plate model;
constructing a diffused sound field on the surface of the external sound cavity;
acquiring noise parameters of the vehicle under any working condition;
and constructing a simulated sound source on the external sound cavity according to the noise parameters to form the noise propagation simulation model.
Optionally, the second obtaining module 303 includes:
a generating submodule 3031 for generating a target acoustic package model at the target detection position, the target acoustic package model being used for representing that the target detection position is in the sound insulation state in the noise propagation simulation model;
and the first determining submodule 3032 is configured to use the sound absorption and insulation parameter of the target acoustic package model as the second sound absorption and insulation parameter.
Optionally, the third determining module 305 includes:
an obtaining sub-module 3051, configured to obtain a difference between the first main driving right ear sound pressure level and the second main driving right ear sound pressure level;
a second determination sub-module 3052, configured to use a ratio of the difference to the first primary right-ear sound pressure level as the noise contribution amount at the target detection position.
Therefore, the noise contribution amount of the target detection position is determined through the noise propagation simulation model, the detection efficiency of the noise contribution amount can be improved, the problem that the detection cost of entity detection needs to be invested much can be avoided, and the manufacturing cost of the whole vehicle is favorably reduced.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
FIG. 4 is a block diagram illustrating an electronic device in accordance with an example embodiment. For example, the electronic device 400 may be provided as a server. Referring to fig. 4, the electronic device 400 comprises a processor 422, which may be one or more in number, and a memory 432 for storing computer programs executable by the processor 422. The computer program stored in memory 432 may include one or more modules that each correspond to a set of instructions. Further, the processor 422 may be configured to execute the computer program to perform the above-described method of determining the noise contribution amount.
Additionally, electronic device 400 may also include a power component 426 and a communication component 450, the power component 426 may be configured to perform power management of the electronic device 400, and the communication component 450 may be configured to enable communication, e.g., wired or wireless communication, of the electronic device 400. The electronic device 400 may also include input/output (I/O) interfaces 458. The electronic device 400 may operate based on an operating system, such as Windows Server, stored in the memory 432TM，Mac OS XTM，UnixTM,LinuxTMAnd so on.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, carry out the steps of the above-described method of determining a noise contribution amount is also provided. For example, the computer readable storage medium may be the memory 432 described above that includes program instructions executable by the processor 422 of the electronic device 400 to perform the method of determining the noise contribution amount described above.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (10)
1. A method of determining a noise contribution, the method comprising:
acquiring a first sound absorption and insulation parameter and a noise parameter of a vehicle under the current working condition;
determining a first main driving right ear sound pressure level under the current working condition through a pre-established noise propagation simulation model according to the first sound absorption and insulation parameter and the noise parameter;
acquiring a second sound absorption and insulation parameter, wherein the second sound absorption and insulation parameter is a sound absorption and insulation parameter when a target detection position in the vehicle is in a sound insulation state under the current working condition;
determining a sound pressure level of a second main driving right ear of the target detection position in a sound insulation state through a pre-established noise propagation simulation model according to the second sound absorption and insulation parameter and the noise parameter;
and determining the noise contribution amount at the target detection position according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level.
2. The method of claim 1, wherein the noise propagation simulation model is generated by:
acquiring sound absorption and insulation parameters of each part in the vehicle;
constructing an SEA flat plate model of the vehicle according to the sound absorption and insulation parameters;
generating an internal sound cavity inside the SEA flat plate model according to the sound transmission medium under the current working condition, and generating an external sound cavity outside the SEA flat plate model;
constructing a diffuse sound field on the surface of the external sound cavity;
acquiring noise parameters of the vehicle under any working condition;
and constructing a simulated sound source on the external sound cavity according to the noise parameters to form the noise propagation simulation model.
3. The method of claim 1, wherein the obtaining a second sound absorption and insulation parameter comprises:
generating a target acoustic package model at the target detection location, the target acoustic package model being used to characterize the target detection location in the noise propagation simulation model as being in the acoustic isolation state;
and taking the sound absorption and insulation parameter of the target acoustic bag model as the second sound absorption and insulation parameter.
4. The method of claim 1, wherein determining the noise contribution amount at the target detection location based on the first primary right ear sound pressure level and the second primary right ear sound pressure level comprises:
acquiring a difference value between a first main driving right ear sound pressure level and a second main driving right ear sound pressure level;
and taking the ratio of the difference value to the sound pressure level of the first main driving right ear as the noise contribution amount at the target detection position.
5. An apparatus for determining a noise contribution, the apparatus comprising:
the first acquisition module is used for acquiring a first sound absorption and insulation parameter and a noise parameter of the vehicle under the current working condition;
the first determining module is used for determining the sound pressure level of a first main driving right ear under the current working condition through a pre-established noise propagation simulation model according to the first sound absorption and insulation parameter and the noise parameter;
the second acquisition module is used for acquiring a second sound absorption and insulation parameter, wherein the second sound absorption and insulation parameter is a sound absorption and insulation parameter when a target detection position in the vehicle is in a sound insulation state under the current working condition;
the second determination module is used for determining the sound pressure level of a second main driving right ear of the target detection position in a sound insulation state through a pre-established noise propagation simulation model according to the second sound absorption and insulation parameter and the noise parameter;
a third determining module, configured to determine a noise contribution amount at the target detection position according to the first main driving right ear sound pressure level and the second main driving right ear sound pressure level.
6. The apparatus of claim 5, wherein the noise propagation simulation model is generated by:
acquiring sound absorption and insulation parameters of each part in the vehicle;
constructing an SEA flat plate model of the vehicle according to the sound absorption and insulation parameters;
generating an internal sound cavity inside the SEA flat plate model according to the sound transmission medium under the current working condition, and generating an external sound cavity outside the SEA flat plate model;
constructing a diffuse sound field on the surface of the external sound cavity;
acquiring noise parameters of the vehicle under any working condition;
and constructing a simulated sound source on the external sound cavity according to the noise parameters to form the noise propagation simulation model.
7. The apparatus of claim 5, wherein the second obtaining module comprises:
a generation submodule for generating a target acoustic package model at the target detection location, the target acoustic package model being used to characterize the target detection location in the noise propagation simulation model as being in the acoustic isolation state;
and the first determining submodule is used for taking the sound absorption and insulation parameter of the target acoustic bag model as the second sound absorption and insulation parameter.
8. The apparatus of claim 5, wherein the third determining module comprises:
the acquisition submodule is used for acquiring a difference value between a first main driving right ear sound pressure level and the second main driving right ear sound pressure level;
and the second determination submodule is used for taking the ratio of the difference value to the sound pressure level of the first main driving right ear as the noise contribution amount at the target detection position.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 4.
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