CN108663115A - A kind of car inside idle noise objective quantification evaluation method - Google Patents
A kind of car inside idle noise objective quantification evaluation method Download PDFInfo
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Abstract
The invention discloses a kind of car inside idle noise objective quantification evaluation methods, the processing step of acquisition, subjective parameters including objective parameter, by carrying out correlation analysis to subjective evaluation result and each objective parameter, correlation model foundation is carried out using multiple linear regression, obtains the objective quantification mathematical model of idle noise subjective assessment.The subjective assessment situation that vehicle idling noiseproof feature can be obtained by this method, be it is comprehensive, direct, efficiently, effective test and evaluation method.The test method of this method application is simple, and thinking is clear, has very strong versatility, can adapt to the test and evaluation of a variety of models idle noise performance, of low cost.
Description
Technical field
The present invention relates to Vehicle Interior Noise performance tests and evaluation field, and in particular to a kind of car inside idle noise
Objective quantification evaluation method.
Background technology
Requirement with consumer to vehicle ride comfort is higher and higher, and car inside sound comfort is commented as consumer
One important indicator of valence vehicle performance.It is exactly to Automobile that consumer experiences most automotive performances during automobile is selected in purchase
The experience of interior idle noise.Therefore, the conceptual phase of each vehicle is proposed increasingly higher demands to the idle noise of vehicle.
However, people is extremely complex to the subjective feeling of sound, the quality of vehicle idling noise not can pass through letter
Single sound pressure level is judged.In the early period and later stage of vehicle NVH performance developments, how internal car noise performance is correctly assessed always
It is a problem.While considering vibration and noise reducing, it is particularly critical how to improve the ingredient that people is not pleasant in internal car noise frequency spectrum, this
And NVH engineer needs the content paid close attention to.
Currently, in terms of improving interior idle noise, stage of many manufacturers all also in simple noise reduction, internal car noise
Exploitation is also only using weighted sound pressure level as development goal.Since the subjective feeling of people is more complicated, will make an uproar in evaluation car
Occurs subjective and objective result inconsistent phenomenon when acoustic performance.In addition, subjective assessment is a time-consuming and laborious process, not only need
Subjective assessment personnel amount is more, also there are certain requirements to the professional standards of evaluation personnel.
Invention content
The purpose of the present invention is：A kind of car inside idle noise objective quantification evaluation method is provided, vehicle noise is solved
Subjective assessment can not problem corresponding with objective parameter, and then solve the problems, such as the subjective assessment of vehicle noise.
The present invention is achieved through the following technical solutions：A kind of car inside idle noise objective quantification evaluation method,
This approach includes the following steps：
The acquisition of S1, objective parameter
S1.1, vehicle idling is parked in place to be measured；
S1.2, arrangement acoustical signal harvester, acquire the data of the horizontal different vehicle of several idle noises；And to each of acquisition
Vehicle idling noise signal carries out the calculating of each objective parameter；
The processing of S2, subjective parameters
Several S2.1, selection subjective assessment personnel carry out playback evaluation to each acoustical signal sample of acquisition；
S2.2 simultaneously carries out statistical disposition according to following formula to subjective evaluation result：
In formula：For arbitrary score value,For the score value after normalization,It is effectively commented to be all under same acoustic environment
The minimum value of valence personnel marking,For the maximum value of all effective evaluation personnel marking under same acoustic environment；
S3, correlation analysis is carried out to subjective evaluation result and each objective parameter, correlation model is carried out using multiple linear regression
It establishes, obtains the objective quantification mathematical model of idle noise subjective assessment：
In formula：For sound quality,For loudness,For sharpness.
Further：Place to be measured is that totally disappeared sound or semianechoic room.
Further：The data of the horizontal different vehicle of acquisition no less than 20 idle noises；It is subjective to choose no less than 20
Evaluation personnel carries out playback evaluation to each acoustical signal sample of acquisition.
The beneficial effects of the invention are as follows：The subjective assessment situation of vehicle idling noiseproof feature can be obtained by this method,
Be it is comprehensive, direct, efficiently, effective test and evaluation method.The test method of this method application is simple, and thinking is bright
Really, reproducible, there is very strong versatility, can adapt to the test and evaluation of a variety of models idle noise performance, it is at low cost
It is honest and clean.
Description of the drawings
Fig. 1 is the operation principle block diagram of the present invention.
Specific implementation mode
As shown, the invention discloses a kind of car inside idle noise objective quantification evaluation method, including following step
Suddenly：
The acquisition of S1, objective parameter
S1.1, vehicle idling is parked in place to be measured；
S1.2, arrangement acoustical signal harvester, acquire the data of the horizontal different vehicle of several idle noises；And to each of acquisition
Vehicle idling noise signal carries out the calculating of each objective parameter；
The processing of S2, subjective parameters
Several S2.1, selection subjective assessment personnel carry out playback evaluation to each acoustical signal sample of acquisition；
S2.2 simultaneously carries out statistical disposition according to following formula to subjective evaluation result：
In formula：For arbitrary score value,For the score value after normalization,It is effectively commented to be all under same acoustic environment
The minimum value of valence personnel marking,For the maximum value of all effective evaluation personnel marking under same acoustic environment；
S3, correlation analysis is carried out to subjective evaluation result and each objective parameter, correlation model is carried out using multiple linear regression
It establishes, obtains the objective quantification mathematical model of idle noise subjective assessment：
In formula：SQ is sound quality, i.e. the impression of subjective assessment, and LD is loudness, and SP is sharpness.
Further：Place to be measured is that totally disappeared sound or semianechoic room, it is desirable that testing background noise will make an uproar less than vehicle idling
Sound 10dB（A）.
Further：The data of the horizontal different vehicle of acquisition no less than 20 idle noises；It is subjective to choose no less than 20
Evaluation personnel carries out playback evaluation to each acoustical signal sample of acquisition.
Specifically：If Fig. 1 is operation principle block diagram, noise signal in collecting vehicle is tested first, collected sound is believed
Number carry out the calculating of each objective parameter.Subjective assessment is carried out to each voice signal, and for statistical analysis to evaluation result.It will lead
It sees evaluation result and carries out correlation analysis and model foundation with each objective parameter.
Microphone can be used in test position in the present embodiment, at national standard position 4, acquisition 20 or more
Internal car noise signal for parameter calculate.Collected acoustical signal carries out the meter of each objective parameter using HEAD ArtemiS
It calculates, is used for model foundation.
Before test, vehicle is subjected to hot vehicle, takes around and vehicle is travelled into 20min, it is desirable that water temperature reaches Re Cheshui
It is flat.
Then, vehicle idling is parked in the smaller place of ambient noise, it is desirable that it is idle that testing background noise will be less than vehicle
Fast noise 10dB（A）, it is therefore desirable to it is tested in vehicle anechoic room.
The different vehicle idling noise signal of 20 level above is acquired, sound collection equipment is connected into microphone and front end
Collecting device, each sensitivity of microphone of software debugging, demarcates each microphone.Acquisition 10S is a sample, is acquired every time
4 samples and the consistency for checking signal retain the preferable one of which data of consistency, to each vehicle idling noise of acquisition
Signal carries out the calculating of each objective parameter.
The calculating of each objective parameter is carried out using HEAD ArtemiS.It is needed to signal when the weighted sound pressure level for calculating signal
A weighted processing is carried out, it, need not be to signal weighted when carrying out the calculating of psychoacoustic parameter.By each vehicle idling of calculating
Noise signal objective parameter value is recorded.
The subjective assessment personnel for choosing 20 people or more carry out playback evaluation to each acoustical signal sample of acquisition, and comment subjectivity
Valence result carries out statistical disposition
It first has to carry out aural training to each evaluation personnel, is familiar with evaluation place and environment, and explain evaluation rubric and evaluate and refer to
Target meaning.In the quantity of Appraising subject, the subjective assessment of most of psychologic acoustics is required for the evaluation personnel of 20 people or more
It can just obtain more accurately acoustic assessment result.The present invention recommends to choose 24 evaluation personnels, male to female ratio in evaluation personnel
It is 1:1, evaluation index of the present invention is the sound comfort level of sample sound, and sound is carried out by 0-10 score value using Numerical value method
Sample marking evaluation.It is the listening room for the reverberation time being less than 0.3S to evaluate environment, when playback near control evaluation personnel ear
For corresponding sound pressure level level.
The evaluation result of 24 evaluation personnels is counted, is examined into the related coefficient between administrative staff using SPSS softwares
It tests, proposes 4 smaller personnel of related coefficient.Although all having carried out relevant aural training to all subjective assessment personnel,
But it is all consistent to the understanding of each subjective index of sound quality and definition standard that each evaluation personnel can not be completely secured.Cause
This, should be normalized the data result of remaining 20 evaluation personnels, and the subjective marking value that each is tested all is controlled
For system between 1-9, method is as follows：
In formula：For arbitrary score value,For the score value after normalization,For lower 20 appraisers of same acoustic environment
The minimum value of member's marking,For the maximum value of the lower 20 evaluation personnels marking of same acoustic environment.
The final score of each acoustic environment subjective assessment is one group of data removal maxima and minima after normalization
Average afterwards.
Step 5：Correlation analysis is carried out to subjective evaluation result and each objective parameter, phase is carried out using multiple linear regression
Close model foundation.
Using the subjective evaluation result of model foundation as dependent variable, each objective evaluation parameter is independent variable, according to experimental test
Data and method of gradual regression carry out regression equation solution using SPSS applied statistics softwares.
The foundation of model is to return to obtain by two steps according to method of gradual regression, and the principle that variable is chosen is：F examines P
It is worth≤0.05 variations per hour to introduce, F examines the variations per hour of P values >=0.1 to remove.The model variable being introduced into this example is loudness and sharp
Degree.
Nonstandardized technique coefficient is corresponded to according to the constant term and each independent variable that often walk model in multiple linear regression.It will return
Coefficient brings equation into, just obtains the objective quantification mathematical model of idle noise subjective assessment：
In formula：For sound quality,For loudness,For sharpness.
Pass through the multiple decision coefficient of computation model, in the variation of sound quality value, can by sound quality with
Loudness, the ratio that the equation of linear regression of sharpness is explained are 94.2%, show that model has the good goodness of fit.This
Outside, the t of loudness, sharpness and constant term examines significance to be much smaller than 0.05 in model, shows independent variable and dependent variable
Between linear relationship it is notable.By examining, the sound quality objective quantification model that this example is established is statistically meaningful.
Above-described is only the preferred embodiments of the invention, to those of ordinary skill in the art, not
Under the premise of the technical characteristic for being detached from the present invention, several improvement can also be made, these improvement also should be regarded as the protection of the present invention
Range.
Claims (3)
1. a kind of car inside idle noise objective quantification evaluation method, this approach includes the following steps：
The acquisition of S1, objective parameter
S1.1, vehicle idling is parked in place to be measured；
S1.2, arrangement acoustical signal harvester, acquire the data of the horizontal different vehicle of several idle noises；And to each of acquisition
Vehicle idling noise signal carries out the calculating of each objective parameter；
The processing of S2, subjective parameters
Several S2.1, selection subjective assessment personnel carry out playback evaluation to each acoustical signal sample of acquisition；
S2.2 simultaneously carries out statistical disposition according to following formula to subjective evaluation result：
；
In formula：Xi is arbitrary score value, and Xi ' is the score value after normalization, and Xmin effectively comments to be all under same acoustic environment
The minimum value of valence personnel marking, Xmax are the maximum value of all effective evaluation personnel marking under same acoustic environment；
S3, correlation analysis is carried out to subjective evaluation result and each objective parameter, correlation model is carried out using multiple linear regression
It establishes, obtains the objective quantification mathematical model of idle noise subjective assessment：
；
In formula：SQ is sound quality, and LD is loudness, and SP is sharpness.
2. vapour car inside idle noise objective quantification evaluation method according to claim 1, it is characterised in that：Field to be measured
Ground is that totally disappeared sound or semianechoic room.
3. car inside idle noise objective quantification evaluation method according to claim 1, it is characterised in that：Acquisition is many
In the data of the horizontal different vehicle of 20 idle noises；Choose each acoustical signal for being no less than 20 subjective assessment personnel to acquisition
Sample carries out playback evaluation.
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| CN109668626A (en) * | 2018-12-25 | 2019-04-23 | 东莞材料基因高等理工研究院 | A kind of sound quality evaluation method based on human-computer interaction interface |
| CN109781245A (en) * | 2019-01-15 | 2019-05-21 | 江铃汽车股份有限公司 | A kind of method for objectively evaluating of diesel engine impulsive noise |
| CN110231087A (en) * | 2019-06-06 | 2019-09-13 | 江苏省广播电视集团有限公司 | A kind of high definition television audio loudness analysis alarm and normalization production method and equipment |
| CN110296847A (en) * | 2019-04-17 | 2019-10-01 | 开沃新能源汽车集团有限公司 | A kind of noise rating method of integral new-energy passenger |
| CN110567575A (en) * | 2019-08-12 | 2019-12-13 | 同济大学 | automobile door lock joint sound quality evaluation method |
| CN111751119A (en) * | 2020-06-10 | 2020-10-09 | 中国第一汽车股份有限公司 | Automobile acceleration sound quality evaluation method based on sound order frequency characteristics |
| CN111949942A (en) * | 2020-07-11 | 2020-11-17 | 中国第一汽车股份有限公司 | Evaluation method for accelerating linearity of noise in vehicle |
| CN112131662A (en) * | 2020-09-17 | 2020-12-25 | 东风汽车集团有限公司 | Passenger car wind noise subjective evaluation objective quantification method |
| CN112182742A (en) * | 2020-09-06 | 2021-01-05 | 东风汽车集团有限公司 | Optimization evaluation method and device for automobile ride comfort test |
| CN112729859A (en) * | 2020-12-02 | 2021-04-30 | 万向钱潮（上海）汽车系统有限公司 | Electronic parking noise quality evaluation system and method |
| CN112932489A (en) * | 2020-12-30 | 2021-06-11 | 广东电网有限责任公司电力科学研究院 | Transformer substation noise subjective annoyance degree evaluation model establishing method and model establishing system |
| CN113091875A (en) * | 2021-04-20 | 2021-07-09 | 中国汽车工程研究院股份有限公司 | System and method for detecting and evaluating abnormal sound in vehicle |
| CN113295267A (en) * | 2021-05-10 | 2021-08-24 | 江铃汽车股份有限公司 | Method and system for evaluating sound of intake air flow based on sound scene and readable storage medium |
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