CN109977570B - Vehicle body noise determination method, device and storage medium - Google Patents

Vehicle body noise determination method, device and storage medium Download PDF

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CN109977570B
CN109977570B CN201910257001.7A CN201910257001A CN109977570B CN 109977570 B CN109977570 B CN 109977570B CN 201910257001 A CN201910257001 A CN 201910257001A CN 109977570 B CN109977570 B CN 109977570B
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sound pressure
noise sound
sheet metal
material thickness
metal part
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CN109977570A (en
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孙敏
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Chery Automobile Co Ltd
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Chery Automobile Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/15Vehicle, aircraft or watercraft design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/10Noise analysis or noise optimisation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

Abstract

The application discloses a method and device for determining vehicle body noise and a storage medium, and belongs to the technical field of vehicle engineering. The method comprises the following steps: acquiring initial body noise sound pressure of a target automobile, and material thickness variation and sensitivity coefficient corresponding to at least one sheet metal part in the target automobile; and determining the noise sound pressure of the body of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient. According to the method and the device, the noise sound pressure of the target automobile body is determined through the material thickness variation of the sheet metal part, so that the noise sound pressure of the target automobile body corresponding to different material thickness variation can be obtained, the design scheme is not required to be subjected to simulation analysis, judgment and verification by a designer and a simulation analyzer one by one, the determination efficiency of the noise sound pressure of the automobile body is improved, the whole automobile development period is shortened, and the time cost is reduced.

Description

Vehicle body noise determination method, device and storage medium
Technical Field
The present disclosure relates to the field of vehicle engineering technologies, and in particular, to a method and an apparatus for determining noise of a vehicle body, and a storage medium.
Background
With the improvement of the living standard of people, the requirements of passengers on the comfort of the automobile are also higher and higher, and the noise in the automobile is one of important aspects affecting the comfort of the passengers. Among them, high noise not only impairs physical and mental health of a passenger car, but also causes rapid fatigue, confusion, distraction, etc. of a driver, thereby causing various traffic accidents. Therefore, in order to avoid damage to occupants from high noise and interference with the driver, it is often necessary to determine and evaluate the noise of the vehicle body at different stages of overall vehicle development, such as a pre-evaluation stage and a body weight reduction stage.
Currently, noise determination and analysis can be performed by CAE (Computer Aided Engineering ), with the following specific steps: first, various design schemes of a vehicle body are provided to a simulation analysis department by a design department; secondly, the simulation analysis department carries out simulation analysis on sound pressure of ears of a driver and a passenger on each design scheme through a computer so as to judge and verify whether each design scheme is feasible or not; thirdly, the design department redesigns the design scheme with poor feasibility, and then repeats the two steps until the new design scheme reaches the design requirement.
However, in the related art, the designer and the simulation analyst all propose improved design schemes according to their own experiences and attention points, so that a plurality of design schemes may need to be subjected to simulation analysis, judgment and verification one by one, the efficiency is low, the whole vehicle development period is long, and the time cost is increased.
Disclosure of Invention
The embodiment of the application provides a vehicle body noise determining method, a vehicle body noise determining device and a storage medium, which are used for solving the problems of low vehicle body noise determining efficiency, long whole vehicle development period and high time cost in the related technology. The technical scheme is as follows:
In a first aspect, there is provided a vehicle body noise determination method, the method including:
acquiring initial body noise sound pressure of a target automobile, and material thickness variation and sensitivity coefficient corresponding to at least one sheet metal part in the target automobile;
and determining the noise sound pressure of the body of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient.
Optionally, the obtaining the material thickness variation corresponding to the at least one sheet metal part in the target automobile includes:
receiving a vehicle body noise determination request, wherein the determination request carries a material thickness variation corresponding to the at least one sheet metal part; or alternatively, the process may be performed,
and displaying a parameter input interface, and determining the material thickness variation carried in the parameter confirmation instruction as the material thickness variation of the at least one sheet metal part when the parameter confirmation instruction is received by the parameter input interface.
Optionally, the determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part, and the sensitivity coefficient includes:
determining the noise sound pressure of the body of the target automobile through the following first formula based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient;
P j =P 0 +nλ i *Δt i
Wherein the P is j For the noise sound pressure of the vehicle body, the P is 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part, and lambda is i Is the nth sheet metal partSensitivity coefficient corresponding to current material thickness of i sheet metal parts, delta t i And the material thickness variation of the ith sheet metal part is obtained.
Optionally, the determining the body noise sound pressure of the target automobile based on the initial noise sound pressure and the material thickness variation corresponding to the at least one sheet metal part includes:
determining the average change of the material thickness of the change of the material thickness corresponding to the at least one sheet metal part and the sensitivity average coefficient of the sensitivity coefficient corresponding to the at least one sheet metal part;
and determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the average change amount of the material thickness and the sensitivity average coefficient.
Optionally, the determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the average variation of the material thickness and the sensitivity average coefficient includes:
determining the body noise sound pressure of the target automobile through the following second formula based on the initial noise sound pressure, the average variation of the material thickness and the sensitivity average coefficient;
Figure BDA0002014038960000031
Wherein the P is j For the noise sound pressure of the vehicle body, the P is 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part, the
Figure BDA0002014038960000032
For the sensitivity average coefficient, the +.>
Figure BDA0002014038960000033
The average variation of the material thickness is obtained.
Optionally, after determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part, and the sensitivity coefficient, the method further includes:
determining whether the body noise sound pressure of the target automobile is matched with a body design standard;
and when the noise sound pressure of the automobile body is not matched with the automobile body design standard, returning to the operation of acquiring the material thickness variation and the sensitivity coefficient corresponding to at least one sheet metal part in the target automobile until the noise sound pressure of the automobile body is matched with the automobile body design standard.
In a second aspect, there is provided a vehicle body noise determination apparatus including:
the acquisition module is used for acquiring initial body noise sound pressure of a target automobile, the material thickness variation corresponding to at least one sheet metal part in the target automobile and the sensitivity coefficient;
and the first determining module is used for determining the noise sound pressure of the body of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient.
Optionally, the acquiring module is configured to:
receiving a vehicle body noise determination request, wherein the determination request carries a material thickness variation corresponding to the at least one sheet metal part; or alternatively, the process may be performed,
and displaying a parameter input interface, and determining the material thickness variation carried in the parameter confirmation instruction as the material thickness variation of the at least one sheet metal part when the parameter confirmation instruction is received by the parameter input interface.
Optionally, the first determining module includes:
the first determining submodule is used for determining the noise sound pressure of the body of the target automobile through the following first formula based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient;
P j =P 0 +nλ i *Δt i
wherein the P is j For the noise sound pressure of the vehicle body, the P is 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part, and lambda is i To be the instituteThe sensitivity coefficient corresponding to the current material thickness of the ith sheet metal part in the n sheet metal parts is delta t i And the material thickness variation of the ith sheet metal part is obtained.
Optionally, the first determining module includes:
the second determining submodule is used for determining the average change amount of the material thickness of the change amount of the material thickness corresponding to the at least one sheet metal part and the sensitivity average coefficient of the sensitivity coefficient corresponding to the at least one sheet metal part;
And the third determining submodule is used for determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the average change amount of the material thickness and the sensitivity average coefficient.
Optionally, the third determining submodule is configured to:
determining the body noise sound pressure of the target automobile through the following second formula based on the initial noise sound pressure, the average variation of the material thickness and the sensitivity average coefficient;
Figure BDA0002014038960000041
wherein the P is j For the noise sound pressure of the vehicle body, the P is 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part, the
Figure BDA0002014038960000043
For the sensitivity average coefficient, the +.>
Figure BDA0002014038960000042
The average variation of the material thickness is obtained.
Optionally, the apparatus further comprises:
the second determining module is used for determining whether the noise sound pressure of the automobile body of the target automobile is matched with the automobile body design standard or not;
and the triggering module is used for triggering the acquisition module to acquire the material thickness variation and the sensitivity coefficient corresponding to at least one sheet metal part in the target automobile when the noise sound pressure of the automobile body is not matched with the automobile body design standard until the noise sound pressure of the automobile body is matched with the automobile body design standard.
In a third aspect, a computer readable storage medium is provided, in which a computer program is stored, which, when executed by a processor, implements the method according to any of the first aspects.
In a fourth aspect, there is provided a terminal comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the steps of any of the methods provided in the first aspect above.
In a fifth aspect, there is provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the steps of any of the methods provided in the first aspect above.
The beneficial effects that technical scheme that this application embodiment provided include at least:
in the embodiment of the application, the initial body noise sound pressure of the target automobile, the material thickness variation corresponding to at least one sheet metal part in the target automobile and the sensitivity coefficient can be obtained, and the body noise sound pressure of the target automobile is determined based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient. Because the noise sound pressure of the target automobile can be determined through the material thickness variation of the sheet metal part, the noise sound pressure of the target automobile corresponding to different material thickness variation can be obtained, the design scheme does not need to be subjected to simulation analysis, judgment and verification by a designer and a simulation analyzer one by one, the determination efficiency of the noise sound pressure of the automobile is improved, the whole automobile development period is shortened, and the time cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for determining noise of a vehicle body according to an embodiment of the present application;
FIG. 2 is a flowchart of another method for determining vehicle body noise according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a vehicle body noise determining device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a first determining module provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of another first determining module provided in an embodiment of the present application;
fig. 6 is a schematic structural view of another vehicle body noise determination device provided in an embodiment of the present application;
fig. 7 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Before explaining the embodiment of the present application in detail, an explanation is made on an application scenario related to the embodiment of the present application.
With the improvement of the living standard of people, the requirements of passengers on the comfort of the automobile are also higher and higher, and the noise in the automobile is one of important aspects affecting the comfort of the passengers. In order to avoid damage to passengers and disturbances to the driver by high noise, noise determination and analysis can be performed at different stages of the overall vehicle development. The method comprises the following specific steps: first, various design schemes of a vehicle body are provided to a simulation analysis department by a design department; secondly, the simulation analysis department carries out simulation analysis on sound pressure of ears of a driver and a passenger on each design scheme through a computer so as to judge and verify whether each design scheme is feasible or not; thirdly, the design department redesigns the design scheme with poor feasibility, and then repeats the two steps until the new design scheme reaches the design requirement. However, because the designer and the simulation analyst all propose improved design schemes according to their own experience and attention points, a plurality of design schemes may need to be subjected to simulation analysis, judgment and verification one by one, so that the efficiency is low, the whole vehicle development period is long, and the time cost is increased.
Based on such a scenario, the embodiment of the application provides a vehicle body noise determination method for improving the design efficiency of the whole vehicle and shortening the development period of the whole vehicle.
After an application scenario of the embodiment of the present application is described, a detailed description will be given next of a vehicle body noise determination method provided in the embodiment of the present application with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for determining noise of a vehicle body, which is provided in an embodiment of the present application, and is referred to fig. 1, and the method is applied to a terminal, and includes the following steps.
Step 101: and acquiring the initial body noise sound pressure of the target automobile, the material thickness variation corresponding to at least one sheet metal part in the target automobile and the sensitivity coefficient.
Step 102: and determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient.
In the embodiment of the application, the initial body noise sound pressure of the target automobile, the material thickness variation corresponding to at least one sheet metal part in the target automobile and the sensitivity coefficient can be obtained, and the body noise sound pressure of the target automobile is determined based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient. Because the noise sound pressure of the target automobile can be determined through the material thickness variation of the sheet metal part, the noise sound pressure of the target automobile corresponding to different material thickness variation can be obtained, the design scheme does not need to be subjected to simulation analysis, judgment and verification by a designer and a simulation analyzer one by one, the determination efficiency of the noise sound pressure of the automobile is improved, the whole automobile development period is shortened, and the time cost is reduced.
Optionally, obtaining a material thickness variation corresponding to at least one sheet metal part in the target automobile includes:
receiving a vehicle body noise determination request, wherein the determination request carries a material thickness variation corresponding to the at least one sheet metal part; or alternatively, the process may be performed,
and displaying a parameter input interface, and determining the material thickness variation carried in the parameter confirmation instruction as the material thickness variation of the at least one sheet metal part when the parameter confirmation instruction is received by the parameter display interface.
Optionally, determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient includes:
determining the noise sound pressure of the body of the target automobile through the following first formula based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient;
P j =P 0 +nλ i *Δt i
wherein P is j For the noise sound pressure of the car body, P 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part, lambda i For the sensitivity coefficient delta t corresponding to the current material thickness of the ith sheet metal part in the n sheet metal parts i The material thickness variation of the ith sheet metal part is obtained.
Optionally, determining the body noise sound pressure of the target automobile based on the initial noise sound pressure and the material thickness variation corresponding to the at least one sheet metal part includes:
Determining the average change of the material thickness of the change of the material thickness corresponding to the at least one sheet metal part and the sensitivity average coefficient of the sensitivity coefficient corresponding to the at least one sheet metal part;
and determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the average variation of the material thickness and the sensitivity average coefficient.
Optionally, determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the average variation of the material thickness, and the sensitivity average coefficient includes:
determining the body noise sound pressure of the target automobile through the following second formula based on the initial noise sound pressure, the average variation of the material thickness and the sensitivity average coefficient;
Figure BDA0002014038960000071
wherein P is j For the noise sound pressure of the car body, P 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part,
Figure BDA0002014038960000072
for the sensitivity average coefficient, < >>
Figure BDA0002014038960000073
The average variation of the thickness of the material was obtained.
Optionally, after determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part, and the sensitivity coefficient, the method further includes:
determining whether the body noise sound pressure of the target automobile is matched with a body design standard;
And when the noise sound pressure of the automobile body is not matched with the automobile body design standard, returning to the operation of acquiring the material thickness variation and the sensitivity coefficient corresponding to at least one sheet metal part in the target automobile until the noise sound pressure of the automobile body is matched with the automobile body design standard.
All the above optional technical solutions may be combined according to any choice to form an optional embodiment of the present application, which is not described in detail herein.
Fig. 2 is a flowchart of a method for determining noise of a vehicle body according to an embodiment of the present application, and referring to fig. 2, the method includes the following steps.
Step 201: the terminal acquires initial body noise sound pressure of a target automobile, the material thickness variation corresponding to at least one sheet metal part in the target automobile and the sensitivity coefficient.
In general, noise of an automobile not only deteriorates physical and mental health of a passenger, but also causes rapid fatigue, confusion, distraction, etc. of a driver, thereby causing various traffic accidents. Therefore, in order to avoid damage to passengers due to noise and disturbance to drivers, it is generally necessary to control noise of an automobile within a certain range. And it is common to determine the noise of the car at the stage of the development of the whole car to determine whether the noise of the car has been controlled within a certain range. While in the vehicle development phase, it is often necessary to obtain some parameters when determining vehicle noise. Therefore, the terminal can acquire the initial body noise sound pressure of the target automobile, the material thickness variation corresponding to at least one sheet metal part in the target automobile and the sensitivity coefficient.
The terminal obtains the material thickness variation corresponding to at least one sheet metal part in the target automobile, and the operation can be as follows: receiving a vehicle body noise determination request, wherein the determination request carries a material thickness variation corresponding to at least one sheet metal part; or displaying the parameter input interface, and determining the material thickness variation carried in the parameter confirmation instruction as the material thickness variation of at least one sheet metal part when the parameter confirmation instruction is received by the parameter display interface.
Since the design department may be generally required to cooperate with the simulation department in the noise of the target car, the terminal may receive a car body noise determination request transmitted from other devices. And because the simulation department and the design department can use the same terminal, when the body noise of the target automobile needs to be determined, the terminal can display a parameter input interface, a worker can input the material thickness variation corresponding to at least one sheet metal part through specified operation, and after a confirmation instruction is triggered, the terminal can acquire the input material thickness variation from the confirmation instruction. The designation operation may be an input operation, a click operation, a slide operation, a voice operation, or the like.
In addition, the thickness variation generally floats within a preset range, which may be set in advance, for example, the preset range may be 10%, 5% or the like of an initial thickness of the sheet metal part, which is a value of each sheet metal part in an initial design scheme.
Because the material thickness of sheet metal parts is different, the sensitivity coefficient that the sheet metal parts correspond also is different, therefore, when the material thickness of at least one sheet metal part changes, the terminal not only needs to obtain the material thickness variation that the at least one sheet metal part corresponds, but also needs to obtain the sensitivity coefficient that the sheet metal part corresponds to the current material thickness.
The terminal can acquire the sensitivity coefficient corresponding to the at least one sheet metal part from the corresponding relation between the pre-stored material thickness variation and the sensitivity coefficient according to the material thickness variation corresponding to the at least one sheet metal part. Or the terminal can determine the corresponding sensitivity coefficient in real time according to the material thickness variation of at least one sheet metal part.
It should be noted that, the operation of acquiring the noise sound pressure of the initial body of the target automobile by the terminal and the operation of determining the corresponding sensitivity coefficient in real time according to the material thickness variation of at least one sheet metal part may refer to the related art, which is not described in detail in this embodiment of the present application. The initial body noise sound pressure refers to the body noise sound pressure of the target automobile in the initial design.
Step 202: the terminal determines the noise sound pressure of the body of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient.
After the material thickness of at least one sheet metal part in the target automobile is changed, the noise sound pressure of the body of the target automobile may be changed, so that the terminal needs to determine the noise sound pressure of the body of the target automobile based on the initial noise sound pressure, the material thickness change amount corresponding to the at least one sheet metal part and the sensitivity coefficient.
The operation of determining the noise sound pressure of the body of the target automobile by the terminal based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient at least comprises the following two modes.
In the first mode, the terminal may determine the body noise sound pressure of the target automobile according to the following first formula based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part, and the sensitivity coefficient.
P j =P 0 +nλ i *Δt i (1)
In the first formula (1), P j P is the noise sound pressure of the vehicle body 0 For the initial noise sound pressure, n is the number of at least one sheet metal part, lambda i Is the sensitivity coefficient delta t corresponding to the current material thickness of the ith sheet metal part in the n sheet metal parts i The material thickness variation of the ith sheet metal part.
It should be noted that, the ith sheet metal part may be any sheet metal part of at least one sheet metal part, or may be a sheet metal part with the largest material thickness variation, or may be a sheet metal part with the smallest material thickness variation, or may be another sheet metal part conforming to a rule. That is, the terminal may determine the noise sound pressure of the vehicle body according to the sensitivity coefficient and the material thickness variation corresponding to any one of the at least one sheet metal part through the first formula (1), or may determine the noise sound pressure of the vehicle body according to the sensitivity coefficient and the material thickness variation corresponding to the sheet metal part with the largest material thickness variation among the at least one sheet metal part through the first formula (1).
In the second mode, the terminal can determine the average change of the material thickness of the change of the material thickness corresponding to at least one sheet metal part and the sensitivity average coefficient of the sensitivity coefficient corresponding to at least one sheet metal part; the body noise sound pressure of the target automobile is determined based on the initial noise sound pressure, the average variation of the material thickness and the sensitivity average coefficient.
Because the variation of the material thicknesses of different sheet metal parts affects the noise sound pressure of the body of the target automobile to different degrees, in order to improve the accuracy of determining the noise sound pressure of the body of the target automobile, the terminal can firstly determine the average variation of the material thickness and the average sensitivity coefficient, and then determine the noise sound pressure of the body of the target automobile based on the initial noise sound pressure, the average variation of the material thickness and the average sensitivity coefficient.
The terminal may determine the body noise sound pressure of the target automobile according to the following second formula based on the initial noise sound pressure, the average variation of the material thickness, and the sensitivity average coefficient.
Figure BDA0002014038960000101
In the second formula (2), P j P is the noise sound pressure of the vehicle body 0 For the initial noise sound pressure, n is the number of at least one sheet metal part,
Figure BDA0002014038960000102
for sensitivity average coefficient, +.>
Figure BDA0002014038960000103
Is the average variation of the material thickness.
Step 203: the terminal prompts the noise sound pressure of the currently determined automobile body of the target automobile through prompt information.
In order to facilitate understanding of the body noise sound pressure of the target automobile in the current design scheme to the staff, the terminal can prompt the staff of the body noise sound pressure of the target automobile in a mode of playing and/or displaying prompt information.
Further, in order to enable the target automobile to meet comfort requirements of passengers, that is, in order to obtain the target automobile with the noise sound pressure of the automobile body meeting the comfort requirements, after the terminal determines the noise sound pressure of the automobile body of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient, whether the noise sound pressure of the automobile body of the target automobile is matched with the automobile body design standard or not can be determined; when the vehicle body noise sound pressure does not match the vehicle body design criteria, the operation of step 201 is returned until the vehicle body noise sound pressure matches the vehicle body design criteria. When the noise sound pressure of the automobile body is matched with the automobile body design standard, the design scheme of the current target automobile is determined to meet the comfort requirement.
Because when the noise sound pressure of the automobile body is not matched with the design standard of the automobile body, the current design scheme of the target automobile is described, namely the thickness of the current sheet metal part of the target automobile does not meet the comfort requirement, the safety of passengers is likely to be affected, therefore, the terminal needs to acquire the material thickness variation and the sensitivity coefficient corresponding to at least one sheet metal part again, and the material thickness variation and the sensitivity coefficient corresponding to the at least one sheet metal part acquired again are not identical with the material thickness variation and the sensitivity coefficient corresponding to the at least one sheet metal part acquired before.
It should be noted that the matching of the vehicle noise sound pressure and the vehicle design standard may mean that the vehicle noise sound pressure is located in a sound pressure threshold range, and the sound pressure threshold range may be set in advance, for example, the sound pressure threshold range may be [5,10] db, or the like. The design of the target vehicle may be a design of the thickness of the at least one sheet metal part of the target vehicle by means of a pointer.
In addition, the terminal may stop performing the operation of step 201 when the vehicle body noise sound pressure matches the vehicle body design criteria, or may stop performing the operation of step 201 when a preset number of vehicle body noise sound pressures match the vehicle body design criteria. That is, when the noise sound pressure of the vehicle body is matched with the design standard of the vehicle body, the number of design schemes of the target vehicle, which are matched with the design standard of the vehicle body, of the current noise sound pressure of the vehicle body is determined, and when the noise sound pressure of the vehicle body is matched with the design standard of the vehicle body in the preset number of design schemes, the terminal can acquire the design scheme with the minimum noise sound pressure of the vehicle body from the preset number of design schemes, and the acquired design scheme is determined as the optimal design scheme of the target vehicle.
In the embodiment of the application, the initial body noise sound pressure of the target automobile, the material thickness variation corresponding to at least one sheet metal part in the target automobile and the sensitivity coefficient can be obtained, and the body noise sound pressure of the target automobile is determined based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient. Because the noise sound pressure of the target automobile can be determined through the material thickness variation of the sheet metal part, the noise sound pressure of the target automobile corresponding to different material thickness variation can be obtained, the design scheme does not need to be subjected to simulation analysis, judgment and verification by a designer and a simulation analyzer one by one, the determination efficiency of the noise sound pressure of the automobile is improved, the whole automobile development period is shortened, and the time cost is reduced.
After explaining a vehicle body noise determination method provided in the embodiment of the present application, a vehicle body noise determination apparatus provided in the embodiment of the present application is described next.
Fig. 3 is a block diagram of a vehicle body noise determination apparatus provided by an embodiment of the present disclosure, and referring to fig. 3, the apparatus may be implemented by software, hardware, or a combination of both. The device comprises: an acquisition module 301 and a first determination module 302.
The acquiring module 301 is configured to acquire an initial body noise sound pressure of a target automobile, a material thickness variation corresponding to at least one sheet metal part in the target automobile, and a sensitivity coefficient;
the first determining module 302 is configured to determine a body noise sound pressure of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part, and the sensitivity coefficient.
Optionally, the acquiring module 301 is configured to:
receiving a vehicle body noise determination request, wherein the determination request carries a material thickness variation corresponding to the at least one sheet metal part; or alternatively, the process may be performed,
and displaying a parameter input interface, and determining the material thickness variation carried in the parameter confirmation instruction as the material thickness variation of the at least one sheet metal part when the parameter confirmation instruction is received by the parameter input interface.
Optionally, referring to fig. 4, the first determining module 302 includes:
a first determining submodule 3021, configured to determine a body noise sound pressure of the target automobile according to the following first formula based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part, and the sensitivity coefficient;
P j =P 0 +nλ i *Δt i
wherein the P is j For the noise sound pressure of the vehicle body, the P is 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part, and lambda is i For the sensitivity coefficient corresponding to the current material thickness of the ith sheet metal part in the n sheet metal parts, the delta t is i And the material thickness variation of the ith sheet metal part is obtained.
Optionally, referring to fig. 5, the first determining module 302 includes:
a second determining submodule 3022, configured to determine an average variation of the material thickness variation corresponding to the at least one sheet metal part and an average sensitivity coefficient of the sensitivity coefficient corresponding to the at least one sheet metal part;
a third determining submodule 3023 for determining a body noise sound pressure of the target automobile based on the initial noise sound pressure, the average variation of the material thickness, and the sensitivity average coefficient.
Optionally, the third determining submodule 3023 is configured to:
determining the body noise sound pressure of the target automobile through the following second formula based on the initial noise sound pressure, the average variation of the material thickness and the sensitivity average coefficient;
Figure BDA0002014038960000121
wherein the P is j For the noise sound pressure of the vehicle body, the P is 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part, the
Figure BDA0002014038960000122
For the sensitivity average coefficient, the +.>
Figure BDA0002014038960000123
The average variation of the material thickness is obtained.
Optionally, referring to fig. 6, the apparatus further includes:
a second determining module 303, configured to determine whether a body noise sound pressure of the target automobile matches a body design criterion;
and the triggering module 304 is configured to trigger the obtaining module to obtain a material thickness variation and a sensitivity coefficient corresponding to at least one sheet metal part in the target automobile when the noise sound pressure of the automobile body is not matched with the automobile body design standard until the noise sound pressure of the automobile body is matched with the automobile body design standard.
In summary, in the embodiment of the present application, the terminal may obtain an initial body noise sound pressure of the target automobile, a material thickness variation corresponding to at least one sheet metal part in the target automobile, and a sensitivity coefficient, and determine the body noise sound pressure of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part, and the sensitivity coefficient. Because the noise sound pressure of the target automobile can be determined through the material thickness variation of the sheet metal part, the noise sound pressure of the target automobile corresponding to different material thickness variation can be obtained, the design scheme does not need to be subjected to simulation analysis, judgment and verification by a designer and a simulation analyzer one by one, the determination efficiency of the noise sound pressure of the automobile is improved, the whole automobile development period is shortened, and the time cost is reduced.
It should be noted that: the vehicle body noise determining device provided in the above embodiment only illustrates the division of the above functional modules when determining the vehicle body noise, and in practical application, the above functional allocation may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the functions described above. In addition, the vehicle body noise determining device provided in the above embodiment and the vehicle body noise determining method embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, and will not be repeated here.
Fig. 7 shows a block diagram of a terminal 700 according to an exemplary embodiment of the present application. The terminal 700 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion picture expert compression standard audio plane 3), an MP4 (Moving Picture Experts Group Audio Layer IV, motion picture expert compression standard audio plane 4) player, a notebook computer, or a desktop computer. Terminal 700 may also be referred to by other names of user devices, portable terminals, laptop terminals, desktop terminals, etc.
In general, the terminal 700 includes: a processor 701 and a memory 702.
Processor 701 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 701 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 701 may also include a main processor, which is a processor for processing data in an awake state, also referred to as a CPU (Central Processing Unit ); a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 701 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content required to be displayed by the display screen. In some embodiments, the processor 701 may also include an AI (Artificial Intelligence ) processor for processing computing operations related to machine learning.
Memory 702 may include one or more computer-readable storage media, which may be non-transitory. The memory 702 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 702 is used to store at least one instruction for execution by processor 701 to implement the body noise determination method provided by the method embodiments herein.
In some embodiments, the terminal 700 may further optionally include: a peripheral interface 703 and at least one peripheral. The processor 701, the memory 702, and the peripheral interface 703 may be connected by a bus or signal lines. The individual peripheral devices may be connected to the peripheral device interface 703 via buses, signal lines or a circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 704, touch display 705, camera 706, audio circuitry 707, positioning component 708, and power supply 709.
A peripheral interface 703 may be used to connect I/O (Input/Output) related at least one peripheral device to the processor 701 and memory 702. In some embodiments, the processor 701, memory 702, and peripheral interface 703 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 701, the memory 702, and the peripheral interface 703 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.
The Radio Frequency circuit 704 is configured to receive and transmit RF (Radio Frequency) signals, also referred to as electromagnetic signals. The radio frequency circuitry 704 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 704 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 704 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuitry 704 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: metropolitan area networks, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity ) networks. In some embodiments, the radio frequency circuitry 704 may also include NFC (Near Field Communication ) related circuitry, which is not limited in this application.
The display screen 705 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 705 is a touch display, the display 705 also has the ability to collect touch signals at or above the surface of the display 705. The touch signal may be input to the processor 701 as a control signal for processing. At this time, the display 705 may also be used to provide virtual buttons and/or virtual keyboards, also referred to as soft buttons and/or soft keyboards. In some embodiments, the display 705 may be one, providing a front panel of the terminal 700; in other embodiments, the display 705 may be at least two, respectively disposed on different surfaces of the terminal 700 or in a folded design; in still other embodiments, the display 705 may be a flexible display disposed on a curved surface or a folded surface of the terminal 700. Even more, the display 705 may be arranged in a non-rectangular irregular pattern, i.e. a shaped screen. The display 705 may be made of LCD (Liquid Crystal Display ), OLED (Organic Light-Emitting Diode) or other materials.
The camera assembly 706 is used to capture images or video. Optionally, the camera assembly 706 includes a front camera and a rear camera. Typically, the front camera is disposed on the front panel of the terminal and the rear camera is disposed on the rear surface of the terminal. In some embodiments, the at least two rear cameras are any one of a main camera, a depth camera, a wide-angle camera and a tele camera, so as to realize that the main camera and the depth camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting and Virtual Reality (VR) shooting function or other fusion shooting functions. In some embodiments, camera assembly 706 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The dual-color temperature flash lamp refers to a combination of a warm light flash lamp and a cold light flash lamp, and can be used for light compensation under different color temperatures.
The audio circuit 707 may include a microphone and a speaker. The microphone is used for collecting sound waves of users and environments, converting the sound waves into electric signals, and inputting the electric signals to the processor 701 for processing, or inputting the electric signals to the radio frequency circuit 704 for voice communication. For the purpose of stereo acquisition or noise reduction, a plurality of microphones may be respectively disposed at different portions of the terminal 700. The microphone may also be an array microphone or an omni-directional pickup microphone. The speaker is used to convert electrical signals from the processor 701 or the radio frequency circuit 704 into sound waves. The speaker may be a conventional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only the electric signal can be converted into a sound wave audible to humans, but also the electric signal can be converted into a sound wave inaudible to humans for ranging and other purposes. In some embodiments, the audio circuit 707 may also include a headphone jack.
The location component 708 is operative to locate the current geographic location of the terminal 700 for navigation or LBS (Location Based Service, location-based services). The positioning component 708 may be a positioning component based on the United states GPS (Global Positioning System ), the Beidou system of China, the Granati system of Russia, or the Galileo system of the European Union.
A power supply 709 is used to power the various components in the terminal 700. The power supply 709 may be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 709 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, the terminal 700 further includes one or more sensors 710. The one or more sensors 710 include, but are not limited to: acceleration sensor 711, gyroscope sensor 712, pressure sensor 713, fingerprint sensor 714, optical sensor 715, and proximity sensor 716.
The acceleration sensor 711 can detect the magnitudes of accelerations on three coordinate axes of the coordinate system established with the terminal 700. For example, the acceleration sensor 711 may be used to detect the components of the gravitational acceleration in three coordinate axes. The processor 701 may control the touch display screen 705 to display a user interface in a landscape view or a portrait view according to the gravitational acceleration signal acquired by the acceleration sensor 711. The acceleration sensor 711 may also be used for the acquisition of motion data of a game or a user.
The gyro sensor 712 may detect a body direction and a rotation angle of the terminal 700, and the gyro sensor 712 may collect a 3D motion of the user to the terminal 700 in cooperation with the acceleration sensor 711. The processor 701 may implement the following functions based on the data collected by the gyro sensor 712: motion sensing (e.g., changing UI according to a tilting operation by a user), image stabilization at shooting, game control, and inertial navigation.
The pressure sensor 713 may be disposed at a side frame of the terminal 700 and/or at a lower layer of the touch display screen 705. When the pressure sensor 713 is disposed at a side frame of the terminal 700, a grip signal of the user to the terminal 700 may be detected, and the processor 701 performs left-right hand recognition or quick operation according to the grip signal collected by the pressure sensor 713. When the pressure sensor 713 is disposed at the lower layer of the touch display screen 705, the processor 701 controls the operability control on the UI interface according to the pressure operation of the user on the touch display screen 705. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.
The fingerprint sensor 714 is used to collect a fingerprint of the user, and the processor 701 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 714, or the fingerprint sensor 714 identifies the identity of the user according to the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the processor 701 authorizes the user to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 714 may be provided on the front, back or side of the terminal 700. When a physical key or vendor Logo is provided on the terminal 700, the fingerprint sensor 714 may be integrated with the physical key or vendor Logo.
The optical sensor 715 is used to collect the ambient light intensity. In one embodiment, the processor 701 may control the display brightness of the touch display 705 based on the ambient light intensity collected by the optical sensor 715. Specifically, when the intensity of the ambient light is high, the display brightness of the touch display screen 705 is turned up; when the ambient light intensity is low, the display brightness of the touch display screen 705 is turned down. In another embodiment, the processor 701 may also dynamically adjust the shooting parameters of the camera assembly 706 based on the ambient light intensity collected by the optical sensor 715.
A proximity sensor 716, also referred to as a distance sensor, is typically provided on the front panel of the terminal 700. The proximity sensor 716 is used to collect the distance between the user and the front of the terminal 700. In one embodiment, when the proximity sensor 716 detects that the distance between the user and the front face of the terminal 700 gradually decreases, the processor 701 controls the touch display 705 to switch from the bright screen state to the off screen state; when the proximity sensor 716 detects that the distance between the user and the front surface of the terminal 700 gradually increases, the processor 701 controls the touch display screen 705 to switch from the off-screen state to the on-screen state.
That is, the embodiments of the present application provide not only a terminal including a processor and a memory for storing processor-executable instructions, wherein the processor is configured to perform the method in the embodiments shown in fig. 1 and 2, but also a computer-readable storage medium having stored therein a computer program that, when executed by the processor, can implement the body noise determination method in the embodiments shown in fig. 1 and 2.
Those skilled in the art will appreciate that the structure shown in fig. 7 is not limiting of the terminal 700 and may include more or fewer components than shown, or may combine certain components, or may employ a different arrangement of components.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.

Claims (9)

1. A vehicle body noise determination method, characterized in that the method comprises:
acquiring initial noise sound pressure of a target automobile, a material thickness variation corresponding to at least one sheet metal part in the target automobile and a sensitivity coefficient;
determining the noise sound pressure of the body of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient;
The determining the body noise sound pressure of the target automobile based on the initial noise sound pressure and the material thickness variation corresponding to the at least one sheet metal part comprises the following steps:
determining the average change of the material thickness of the change of the material thickness corresponding to the at least one sheet metal part and the sensitivity average coefficient of the sensitivity coefficient corresponding to the at least one sheet metal part;
and determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the average change amount of the material thickness and the sensitivity average coefficient.
2. The method of claim 1, wherein the obtaining the change in the thickness of the sheet metal part in the target automobile comprises:
receiving a vehicle body noise determination request, wherein the determination request carries a material thickness variation corresponding to the at least one sheet metal part; or alternatively, the process may be performed,
and displaying a parameter input interface, and determining the material thickness variation carried in the parameter confirmation instruction as the material thickness variation of the at least one sheet metal part when the parameter input interface receives the parameter confirmation instruction.
3. The method of claim 1, wherein the determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part, and the sensitivity coefficient comprises:
Determining the noise sound pressure of the body of the target automobile through the following first formula based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient;
P j =P 0 +nλ i *Δt i
wherein the P is j For the noise sound pressure of the vehicle body, the P is 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part, and lambda is i For the sensitivity coefficient corresponding to the current material thickness of the ith sheet metal part in the n sheet metal parts, the delta t is i And the material thickness variation of the ith sheet metal part is obtained.
4. The method of claim 1, wherein the determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the stock-thickness average variation, and the sensitivity average coefficient comprises:
determining the body noise sound pressure of the target automobile through the following second formula based on the initial noise sound pressure, the average variation of the material thickness and the sensitivity average coefficient;
Figure FDA0003939641500000021
wherein the P is j For the noise sound pressure of the vehicle body, the P is 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part, the
Figure FDA0003939641500000022
For the sensitivity average coefficient, the +.>
Figure FDA0003939641500000023
The average variation of the material thickness is obtained.
5. The method of claim 1, wherein after determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part, and the sensitivity coefficient, further comprises:
determining whether the body noise sound pressure of the target automobile is matched with a body design standard;
and when the noise sound pressure of the automobile body is not matched with the automobile body design standard, returning to the operation of acquiring the material thickness variation and the sensitivity coefficient corresponding to at least one sheet metal part in the target automobile until the noise sound pressure of the automobile body is matched with the automobile body design standard.
6. A vehicle body noise determination apparatus, characterized by comprising:
the acquisition module is used for acquiring initial noise sound pressure of a target automobile, the material thickness variation corresponding to at least one sheet metal part in the target automobile and the sensitivity coefficient;
the first determining module is used for determining the noise sound pressure of the body of the target automobile based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient;
the first determining module is configured to:
determining the average change of the material thickness of the change of the material thickness corresponding to the at least one sheet metal part and the sensitivity average coefficient of the sensitivity coefficient corresponding to the at least one sheet metal part; and determining the body noise sound pressure of the target automobile based on the initial noise sound pressure, the average change amount of the material thickness and the sensitivity average coefficient.
7. The apparatus of claim 6, wherein the acquisition module is to:
receiving a vehicle body noise determination request, wherein the determination request carries a material thickness variation corresponding to the at least one sheet metal part; or alternatively, the process may be performed,
and displaying a parameter input interface, and determining the material thickness variation carried in the parameter confirmation instruction as the material thickness variation of the at least one sheet metal part when the parameter input interface receives the parameter confirmation instruction.
8. The apparatus of claim 6, wherein the first determination module comprises:
the first determining submodule is used for determining the noise sound pressure of the body of the target automobile through the following first formula based on the initial noise sound pressure, the material thickness variation corresponding to the at least one sheet metal part and the sensitivity coefficient;
P j =P 0 +nλ i *Δt i
wherein the P is j For the noise sound pressure of the vehicle body, the P is 0 For the initial noise sound pressure, n is the number of the at least one sheet metal part, and lambda is i For the sensitivity coefficient corresponding to the current material thickness of the ith sheet metal part in the n sheet metal parts, the delta t is i And the material thickness variation of the ith sheet metal part is obtained.
9. A computer readable storage medium, characterized in that the storage medium has stored therein a computer program which, when executed by a processor, implements the method of any of claims 1-5.
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