CN109342076A - Vehicle acoustics ten point system evaluation method - Google Patents
Vehicle acoustics ten point system evaluation method Download PDFInfo
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- CN109342076A CN109342076A CN201811117523.9A CN201811117523A CN109342076A CN 109342076 A CN109342076 A CN 109342076A CN 201811117523 A CN201811117523 A CN 201811117523A CN 109342076 A CN109342076 A CN 109342076A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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Abstract
The present invention provides a kind of vehicle acoustics ten point system evaluation method.Internal car noise level is to evaluate an important indicator of vehicle performance.In general evaluation method, interior different location, different travel speeds correspond to different performances, it is difficult to provide whole evaluation result with a numerical value.Vehicle acoustics ten point system evaluation method proposed by the present invention directly may finally effectively embody interior acoustic characteristic with a numerical value by the weight of point of addition, operating condition and evaluation parameter based on the test result under interior different location, different operating conditions.
Description
Technical field
The present invention relates to the methods for evaluating interior acoustical behavior, belong to acoustic assessment method and technology field.
Background technique
Noise is one of main public hazards at present in the world.The problem of control automobile noise has become people's growing interest,
How heat subject that internal car noise when driving be always automobile industry is further decreased.Meanwhile the size of automobile noise is
Measure the important indicator of car mass level.But different travel speed and interior different position acoustics performance great disparity compared with
Greatly, the problem of how intuitively, effectively interior acoustics being evaluated, being always main engine plants' puzzlement.In addition, main engine plants at this stage
The performance of oneself vehicle is mainly improved by the way of Benchmark benchmark.In terms of the NVH of vehicle, main engine plants are same
It is that selection is good to mark vehicle, carries out the NVH performance improvement of vehicle.Traditional mode obtains more and complicated interior acoustics number
According to being difficult fast and effeciently to choose correctly improves mark vehicle.When carrying out internal car noise research to automobile, need pair
The acoustic levels of vehicle have more intuitive, effectively evaluating method.
Summary of the invention
It is an object of the present invention to overcome the shortcomings of the prior art and provide a kind of vehicle acoustics ten point system evaluation sides
Method can carry out intuitive, effectively evaluating to the acoustic levels of vehicle.The technical solution adopted by the present invention is that:
A kind of vehicle acoustics ten point system evaluation method, comprising the following steps:
Step S1 integrates the data of vehicle, establishes overall sound pressure level tables of data and lamprophonia degree for each car
According to table;Tables of data is classified according to multiple operating conditions and multiple test positions;
Adjust the sound pressure level data and speech articulation data for obtaining setpoint frequency range;
Step S2 carries out ten to the test data of each data cell in overall sound pressure level tables of data and speech articulation tables of data
Divide system scoring;
Step S3 respectively carries out each score data of overall sound pressure level tables of data and speech articulation tables of data according to position
Weighting, obtains comprehensive grading value at the corresponding all positions of each operating condition;
Step S4, to comprehensive grading value at all positions of overall sound pressure level tables of data and speech articulation tables of data, respectively
It is weighted according to operating condition, respectively obtains overall sound pressure level scoring and speech articulation scoring;
Parameter weighting: step S5 scores the two evaluation parameters in reality according to overall sound pressure level scoring and speech articulation
The corresponding weight of degree of concern reasonable distribution in life, then weighting finds out vehicle acoustics and finally scores.
Further, step S2 is specifically included:
It is a large amount of to choose test datas, calculate each single operating condition for choosing vehicle, test data at single test position
Numberical range;
For overall sound pressure level tables of data, the maxima and minima of test data is calculated each data cell in the table
Difference, calculated divided by 10 slopes that are linearly scored, establish the scoring relationship of score value Yu sound pressure level data;
For speech articulation tables of data, the maximum value and minimum of test data are calculated each data cell in the table
The difference of value, the slope linearly to be scored divided by 10 calculate, and establish the scoring relationship of score value Yu speech articulation data.
Further, step S3 is specifically included:
For overall sound pressure level tables of data, to the sound pressure level score data of multiple and different positions under an operating condition, each acoustic pressure
Grade score data with a multiplied by weight corresponding with position, is then added the product of each multiplication to get the operating condition is arrived respectively
Comprehensive grading value at corresponding all positions;
For speech articulation tables of data, to the speech articulation score data of multiple and different positions under an operating condition, often
A speech articulation score data with a multiplied by weight corresponding with position, is then added the product of each multiplication, i.e., respectively
Obtain comprehensive grading value at the corresponding all positions of the operating condition;
Further, in step S3, probability and each position of the numerical value of weight according to car owner using interior location
Place passenger's takes notice of degree to set, and probability or takes notice of that the higher respective weights of degree are bigger.
Further, test position is six: at position of driver or so ear, at copilot station or so ear, player No.5
At the left ear of passenger position, at back right passenger position auris dextra.
Advantages of the present invention is taken notice of: the present invention is based on the test results under interior different location, different operating conditions, pass through
The weight of point of addition, operating condition and evaluation parameter directly may finally effectively embody interior acoustic characteristic with a numerical value.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention.
Fig. 2 is test position schematic diagram of the invention.
Specific embodiment
Below with reference to specific drawings and examples, the invention will be further described.
The present invention proposes a kind of vehicle acoustics ten point system evaluation method, comprising the following steps:
Step S1 integrates the data of vehicle, establishes overall sound pressure level tables of data and lamprophonia degree for each car
According to table;
Tables of data is classified according to multiple operating conditions and multiple test positions, and in one example, operating condition includes 5: idle
Speed, 60kph, 80kph, 100kph, 120kph speed;Test position includes 6;It therefore, include 30 in overall sound pressure level tables of data
A sound pressure level data include 30 speech articulation data in speech articulation tables of data;Overall sound pressure level tables of data such as one institute of table
Show, speech articulation tables of data is similar with table one;
Sound pressure level | Position 1 | Position 2 | Position 3 | Position 4 | Position 5 | Position 6 |
Operating condition 1 | ||||||
Operating condition 2 | ||||||
Operating condition 3 | ||||||
Operating condition 4 | ||||||
Operating condition 5 |
Table one
Suitable frequency range is limited as needed, for example adjusts the sound pressure level and speech articulation for obtaining 50-10000Hz
Data;
Step S2 carries out ten to the test data of each data cell in overall sound pressure level tables of data and speech articulation tables of data
Divide system scoring;
A large amount of to choose test data, this test data includes the interior acoustic characteristic of different brackets vehicle, calculates selection
The numberical range of test data at each single operating condition of vehicle, single test position;Vehicle is chosen because vehicle rank configures not
There may be individual differences together and in manufacturing process, therefore the numberical range of test data can be different;
For some operating condition, the sound pressure level data of some test position, if preferable sound pressure level data area is 50dB
(A)~58dB (A), poor sound pressure level data area is 55dB (A)~75dB (A), then the numberical range of test data
50dB (A)~75dB (A);
For overall sound pressure level tables of data, the maxima and minima of test data is calculated each data cell in the table
Difference, calculated divided by 10 slopes that are linearly scored, establish the scoring relationship of score value Yu sound pressure level data;
For example, in overall sound pressure level tables of data, the numberical range of some data cell test data be 50dB (A)~
75dB (A), then the scoring relationship of sound pressure level score value and sound pressure level data are as follows:
10 points --- -- are less than 52.5dB (A)
9 points of --- --- 52.5dB (A)~55dB (A)
.
.
.
1 point of --- --- 72.5dB (A)~75dB (A)
0 point --- --- is greater than 75dB (A)
Similarly, for speech articulation tables of data, the maximum of test data is calculated each data cell in the table
The difference of value and minimum value, the slope linearly to be scored divided by 10 calculate, and the scoring for establishing score value and speech articulation data is closed
System;
Step S3 respectively carries out each score data of overall sound pressure level tables of data and speech articulation tables of data according to position
Weighting, obtains comprehensive grading value at the corresponding all positions of each operating condition;
The country drives seldom to be fully loaded with, and according to a large amount of investigational datas, passenger's takes notice of the reasons such as degree, to same travel speed
Interior each position under (operating condition) distributes different weights;The numerical value of weight uses the probability of interior location and every according to car owner
Passenger's takes notice of degree to set at a position.
For overall sound pressure level tables of data, to the sound pressure level score data of multiple and different positions under an operating condition, each acoustic pressure
Grade score data with a multiplied by weight corresponding with position, is then added the product of each multiplication to get the operating condition is arrived respectively
Comprehensive grading value at corresponding all positions;
For speech articulation tables of data, to the speech articulation score data of multiple and different positions under an operating condition, often
A speech articulation score data with a multiplied by weight corresponding with position, is then added the product of each multiplication, i.e., respectively
Obtain comprehensive grading value at the corresponding all positions of the operating condition;
Step S4, it is (following to comprehensive grading value at all positions of overall sound pressure level tables of data and speech articulation tables of data
Abbreviation position Synthesis score value), it is weighted respectively according to operating condition, respectively obtains overall sound pressure level scoring and speech articulation scoring;
The purpose of operating condition weighting is similar with position weighting, after the weighted calculation of position, it is contemplated that the influence of different operating conditions.
There are many domestic road speed limit section, so that the travel speed of driver mainly has idling, 60kph, 80kph, 100kph, 120kph
Deng, according to daily life needs, driver's friction speed travel probability specific gravity it is also different.Pass through a large amount of Social Surveys
And the driving operating condition of combination under normal circumstances, set the impact factor of each operating condition.
Such as:
Overall sound pressure level scoring=1 impact factor of position Synthesis score value 1x operating condition+...+position Synthesis score value n x operating condition n shadow
Ring the factor
N=5 in this example represents 5 operating conditions: idling, 60kph, 80kph, 100kph, 120kph;
Step S5, parameter weighting;
After operating condition weighted calculation, overall sound pressure level scoring and speech articulation scoring are respectively obtained;Speech articulation master
If the quantitative measurement of sound quality, and have certain relationship with the acoustic pressure under single frequency;The ten point system evaluation system of one vehicle
Final score value is based on the scoring of the two overall sound pressure levels and speech articulation scoring;
It is scored the degree of concern of the two evaluation parameters in real life according to overall sound pressure level scoring and speech articulation
The corresponding weight of reasonable distribution, then weighting finds out vehicle acoustics and finally scores.
For example, finally scoring=overall sound pressure level scoring x weight 1+ speech articulation scores x weight 2 vehicle acoustics
The present invention is based on the test results under interior different location, different operating conditions, by point of addition, operating condition and comment
The weight of valence parameter directly may finally effectively embody interior acoustic characteristic with a numerical value.
The present invention specifically measure when,
Firstly, vehicle is correctly bundled in rotating hub, and adjust the position of safety protection device;Vehicle external surface distance half is eliminated the noise
Room wedge is more than or equal to 1.5m;
Secondly, as shown in Fig. 2, arranging that 6 microphones, this 6 point positions are as follows in crew module: position of driver or so
(PLE, PRE) at (DLE, DRE), copilot station or so ear, (2nd_PLE), heel row at the left ear of player No.5's passenger position at ear
At right passenger position auris dextra (2nd_PRE);
PLE and the symmetrical median seating plane two sides PRE, and distance center face 20cm;2nd_PLE is distributed seat on the left of heel row
On the left of chair median plane, and distance center face 20cm;2nd_PRE is distributed on the left of heel row on the left of median seating plane, and distance center face
20cm;Each microphone is 0.7m apart from seat upper level;
The data of each vehicle are integrated into the frequency range, it is specified that unified, establish the overall sound pressure level tables of data of each car
And speech articulation tables of data;This two tables of data are logically separate, can be placed in a table in form;
Then it according to the above process of evaluation method, obtains vehicle acoustics and finally scores.
It should be noted last that the above specific embodiment is only used to illustrate the technical scheme of the present invention and not to limit it,
Although being described the invention in detail referring to example, those skilled in the art should understand that, it can be to the present invention
Technical solution be modified or replaced equivalently, without departing from the spirit and scope of the technical solution of the present invention, should all cover
In the scope of the claims of the present invention.
Claims (5)
1. a kind of vehicle acoustics ten point system evaluation method, which comprises the following steps:
Step S1 integrates the data of vehicle, establishes overall sound pressure level tables of data and speech articulation tables of data for each car;
Tables of data is classified according to multiple operating conditions and multiple test positions;
Adjust the sound pressure level data and speech articulation data for obtaining setpoint frequency range;
Step S2 carries out ten point system to the test data of each data cell in overall sound pressure level tables of data and speech articulation tables of data
Scoring;
Step S3 respectively adds each score data of overall sound pressure level tables of data and speech articulation tables of data according to position
Power, obtains comprehensive grading value at the corresponding all positions of each operating condition;
Step S4, to comprehensive grading value at all positions of overall sound pressure level tables of data and speech articulation tables of data, respectively according to
Operating condition is weighted, and respectively obtains overall sound pressure level scoring and speech articulation scoring;
Parameter weighting: step S5 scores the two evaluation parameters in actual life according to overall sound pressure level scoring and speech articulation
In the corresponding weight of degree of concern reasonable distribution, then weighting finds out vehicle acoustics and finally scores.
2. vehicle acoustics ten point system evaluation method as described in claim 1, which is characterized in that
Step S2 is specifically included:
It is a large amount of to choose test datas, calculate each single operating condition for choosing vehicle, at single test position test data numerical value
Range;
For overall sound pressure level tables of data, to each data cell in the table calculate test data maxima and minima it
Difference, the slope linearly to be scored divided by 10 calculate, and establish the scoring relationship of score value Yu sound pressure level data;
For speech articulation tables of data, to each data cell in the table calculate test data maxima and minima it
Difference, the slope linearly to be scored divided by 10 calculate, and establish the scoring relationship of score value Yu speech articulation data.
3. vehicle acoustics ten point system evaluation method as described in claim 1, which is characterized in that
Step S3 is specifically included:
For overall sound pressure level tables of data, to the sound pressure level score data of multiple and different positions under an operating condition, each sound pressure level is commented
Divided data with a multiplied by weight corresponding with position, is then added respectively the product of each multiplication to get corresponding to the operating condition
All positions at comprehensive grading value;
For speech articulation tables of data, to the speech articulation score data of multiple and different positions under an operating condition, Mei Geyu
Say that clarity score data with a multiplied by weight corresponding with position, is then added the product of each multiplication to get arriving respectively
Comprehensive grading value at the corresponding all positions of the operating condition.
4. vehicle acoustics ten point system evaluation method as claimed in claim 2, which is characterized in that
In step S3, the numerical value of weight takes notice of degree using passenger at the probability of interior location and each position according to car owner
It sets, probability or takes notice of that the higher respective weights of degree are bigger.
5. vehicle acoustics ten point system evaluation method as described in claim 1, which is characterized in that
Test position is six: at position of driver or so ear, at copilot station or so ear, the left ear of player No.5's passenger position
At place, back right passenger position auris dextra.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110672336A (en) * | 2019-09-20 | 2020-01-10 | 中国第一汽车股份有限公司 | Abnormal sound testing method, device, equipment and storage medium for vehicle |
CN112393910A (en) * | 2019-08-14 | 2021-02-23 | 北京新能源汽车股份有限公司 | Sound tightness performance analysis method and device and upper computer |
CN114878176A (en) * | 2021-02-05 | 2022-08-09 | 广州汽车集团股份有限公司 | Finished automobile sound insulation performance online evaluation method and system |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006030908A (en) * | 2004-07-21 | 2006-02-02 | Honda Motor Co Ltd | Voice recognition device for vehicle and moving body |
CN101672690A (en) * | 2009-09-27 | 2010-03-17 | 吉林大学 | Method for objectively and quantifiably evaluating noise fret degree in vehicle based on auditory model |
JP2012047483A (en) * | 2010-08-24 | 2012-03-08 | Railway Technical Research Institute | Evaluation method for noise in railway vehicle |
CN102589680A (en) * | 2012-02-29 | 2012-07-18 | 重庆长安汽车股份有限公司 | Method for quantitatively evaluating knocking noise of transmission system by using language definition |
CN103471709A (en) * | 2013-09-17 | 2013-12-25 | 吉林大学 | Method for predicting noise quality of noise inside passenger vehicle |
CN106840378A (en) * | 2017-02-23 | 2017-06-13 | 江铃汽车股份有限公司 | The evaluation method and system of automobile whistler |
CN108491999A (en) * | 2018-02-10 | 2018-09-04 | 山东国金汽车制造有限公司 | A kind of objective quantification method to electric vehicle steady-state noise subjective assessment |
CN108507793A (en) * | 2017-02-27 | 2018-09-07 | 华晨汽车集团控股有限公司 | A kind of test and evaluation method of vehicle different sound performance |
-
2018
- 2018-09-20 CN CN201811117523.9A patent/CN109342076A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006030908A (en) * | 2004-07-21 | 2006-02-02 | Honda Motor Co Ltd | Voice recognition device for vehicle and moving body |
CN101672690A (en) * | 2009-09-27 | 2010-03-17 | 吉林大学 | Method for objectively and quantifiably evaluating noise fret degree in vehicle based on auditory model |
JP2012047483A (en) * | 2010-08-24 | 2012-03-08 | Railway Technical Research Institute | Evaluation method for noise in railway vehicle |
CN102589680A (en) * | 2012-02-29 | 2012-07-18 | 重庆长安汽车股份有限公司 | Method for quantitatively evaluating knocking noise of transmission system by using language definition |
CN103471709A (en) * | 2013-09-17 | 2013-12-25 | 吉林大学 | Method for predicting noise quality of noise inside passenger vehicle |
CN106840378A (en) * | 2017-02-23 | 2017-06-13 | 江铃汽车股份有限公司 | The evaluation method and system of automobile whistler |
CN108507793A (en) * | 2017-02-27 | 2018-09-07 | 华晨汽车集团控股有限公司 | A kind of test and evaluation method of vehicle different sound performance |
CN108491999A (en) * | 2018-02-10 | 2018-09-04 | 山东国金汽车制造有限公司 | A kind of objective quantification method to electric vehicle steady-state noise subjective assessment |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112393910A (en) * | 2019-08-14 | 2021-02-23 | 北京新能源汽车股份有限公司 | Sound tightness performance analysis method and device and upper computer |
CN110672336A (en) * | 2019-09-20 | 2020-01-10 | 中国第一汽车股份有限公司 | Abnormal sound testing method, device, equipment and storage medium for vehicle |
CN114878176A (en) * | 2021-02-05 | 2022-08-09 | 广州汽车集团股份有限公司 | Finished automobile sound insulation performance online evaluation method and system |
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