CN109030014B - Prediction method for subjective scoring of noise in vehicle during vehicle acceleration - Google Patents

Prediction method for subjective scoring of noise in vehicle during vehicle acceleration Download PDF

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CN109030014B
CN109030014B CN201810572704.4A CN201810572704A CN109030014B CN 109030014 B CN109030014 B CN 109030014B CN 201810572704 A CN201810572704 A CN 201810572704A CN 109030014 B CN109030014 B CN 109030014B
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noise
mark
kurtosis
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acceleration
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CN109030014A (en
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袁卫平
郑建洲
宋恩栋
刘影
王媛文
石磊
孙明
吕宫
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SAIC Motor Corp Ltd
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Abstract

The invention discloses a method for predicting subjective scoring of noise in a vehicle during vehicle acceleration, which comprises the following steps: step 1: collecting and storing signals of the sound pressure level of the acceleration noise and the sound pressure level of multi-order acceleration noise varying with the rotating speed of the engine in the acceleration process of the vehicle; step 2: calculating noise kurtosis according to the current engine speed and the current sound pressure level, and calculating normalized noise kurtosis and maximum normalized noise kurtosis through the noise kurtosis; and step 3: and calculating the noise subjective prediction scores corresponding to different rotating speeds in the vehicle acceleration process and the total value of the synthesized subjective prediction score in the whole acceleration process according to the noise kurtosis, and obtaining the acceleration noise evaluation condition according to a score standard table. The invention is based on real vehicle measurement, uses a determined objective evaluation method, greatly reduces uncertainty for traditional subjective evaluation, can quickly and accurately identify problems or compare nuances, and has strong reference.

Description

Prediction method for subjective scoring of noise in vehicle during vehicle acceleration
Technical Field
The invention relates to an acoustics/noise measurement method in the automobile field, in particular to a prediction method for subjective scoring of noise in an automobile when the automobile accelerates.
Background
At present, the popularization rate of automobiles is very high, the acceleration performance of the automobiles is better and better along with the continuous development of automobile technology, but in the acceleration process of the automobiles, the high-speed rotation of an engine inevitably generates noise; for noise evaluation in an automobile acceleration process, the existing method mainly carries out noise evaluation by subjectively driving a vehicle, the evaluation has high consumption of manpower and material resources, meanwhile, the evaluation result is influenced by a plurality of influence factors, so that the deviation is large, particularly, when the sample size is small, the deviation of the subjective evaluation method is large due to the subjective tendency of people, and therefore, the referenceability of the existing scoring method on problem identification or performance comparison is greatly reduced.
Disclosure of Invention
The invention aims to provide a method for predicting subjective scoring of noise in a vehicle during vehicle acceleration, which is based on real vehicle measurement and uses a determined objective evaluation method, so that the uncertainty is greatly reduced for the traditional subjective evaluation, problems can be quickly and accurately identified or subtle differences can be compared, and the reference is strong.
The invention is realized by the following steps:
a prediction method for subjective scoring of noise in a vehicle during vehicle acceleration comprises the following steps:
step 1: collecting and storing signals of the sound pressure level of the total acceleration noise beside the ears and the sound pressure level of multi-order acceleration noise changing along with the rotating speed of the engine in the acceleration process of the vehicle;
step 2: calculating noise kurtosis according to the current engine speed and the current sound pressure level, and calculating normalized noise kurtosis and maximum normalized noise kurtosis through the noise kurtosis;
and step 3: and calculating the noise subjective prediction scores corresponding to different rotating speeds in the vehicle acceleration process and the total value of the synthesized subjective prediction score in the whole acceleration process according to the noise kurtosis, and obtaining the acceleration noise evaluation condition according to a score standard table.
In the step 2, the method further comprises the following sub-steps:
step 2.1: a point is taken as A on any one noise curve in the sound pressure level of the medium acceleration noise and the sound pressure level of the multi-order acceleration noisen（n，Lpn) Wherein n is AnEngine speed of point, LpnA sound pressure level corresponding to An;
step 2.2: respectively to AnBilateral extension of dots, polypeptide, and nucleic acidkThe rotating speed is taken as two extended rotating speed points An-½△nk（n-½△nk，Lpn-½△nk）、An+½△nk（n+½△nk，Lpn+½△nk) The difference between the two extended rotation speed points is delta nkObtaining sound pressure levels of the corresponding rotating speeds of the two extended rotating speed points, wherein k is any rotating speed and is an integer;
step 2.3: taking Deltan when calculating rotating speed nkThe noise kurtosis of the time is calculated according to the following formula:
Fnk=[ Lpn-½（Lpn-½△nk + Lpn+½△nk）]；
step 2.4: calculating the normalized noise kurtosis when the rotating speed is n, wherein the calculation formula is as follows:
Fnkr=Fnk/（△nk/△nr）
wherein Δ nrIs a normalized rotation speed;
step 2.5: calculating the maximum normalized noise kurtosis when the rotating speed is n, wherein the calculation formula is as follows:
Fnrmax=MAX（Fnrk）。
in the step 3, the method further comprises the following sub-steps:
step 3.1: calculating the subjective prediction score of the noise when the rotating speed corresponding to each noise curve in the step 2 is n:
when F is presentnrmax <At time 0:
Markn=10-0.5*| Fnrmax|，（10-0.5*| Fnrmax|≥0）；
Markn=0，（10-0.5*| Fnrmax|<0）；
when F is presentnrmaxWhen the ratio is more than or equal to 0:
Markn=10-Fnrmax，（10-Fnrmax≥0）；
Markn=0，（10-Fnrmax<0）；
step 3.2: and (3) calculating a synthesized subjective evaluation prediction score according to the following calculation formula:
Marknt=Markn-OA-
Figure DEST_PATH_IMAGE001
wherein L ispn-OAMark as total noise sound pressure leveln-OAPredicting scores for subjective evaluation corresponding to the total noise sound pressure level; markn-morderFor an arbitrary order noise sound pressure level Lpn-morderCorresponding subjective evaluation prediction scores, wherein m is the order, and m belongs to (0, + ∞); sigma represents that m-order noise which participates in the operation arbitrarily is operated and summed in a formula;
step 3.3: mark subjective scoring corresponding to multiple rotating speedsntThe average value and the sample estimation standard deviation value of (a) are calculated to predict the total value of the score for the synthetic subjective evaluation in the whole acceleration process, and the calculation formula is as follows:
Markt=average（Markn1t，Markn2t，Markn3t，…）-2*stdev（Markn1t，Markn2t，Markn3t，…）。
according to the method, the degree of the noise causing the human auditory sense complaining caused by the noise changing along with the rotating speed is directly evaluated through analyzing the objective data of the accelerated noise in the vehicle, the normalized noise kurtosis is taken as a key physical quantity, the score of the change of the human auditory sense along with the rotating speed is further calculated, and finally the total evaluation score of the kurtosis complaining is calculated for the noise in the whole accelerating process.
The method can quickly obtain a result consistent with subjective evaluation by adopting the normalized noise kurtosis, can be used for evaluating the noise level of the whole vehicle along with the change of the rotating speed, can also transversely compare the quality of noise in different accelerated vehicles, provides a tool for efficiently identifying problems for the NVH performance development of the whole vehicle, and can be used for setting an optimization target.
The invention is based on real vehicle measurement, uses a determined objective evaluation method, greatly reduces uncertainty for traditional subjective evaluation, can quickly and accurately identify problems or compare nuances, and has strong reference.
Drawings
FIG. 1 is an acceleration noise curve diagram of the sound pressure level of the noise in the vehicle corresponding to the rotation speed in the prediction method for subjective scoring of the noise in the vehicle when the vehicle is accelerated according to the present invention;
FIG. 2 is a graph showing a prediction curve of the in-vehicle noise and the subjective score of the prediction method of the subjective score of the in-vehicle noise when the vehicle is accelerated according to the present invention;
fig. 3 is a flowchart of a method for predicting subjective scoring of noise in a vehicle when the vehicle is accelerated according to the present invention.
Detailed Description
The invention is further described with reference to the following figures and specific examples.
Referring to fig. 3, a method for predicting subjective score of noise in a vehicle during vehicle acceleration includes the following steps:
step 1: signals of the total acceleration noise sound pressure level and the multi-order acceleration noise sound pressure level which are weighted by the A at the ear in the acceleration process of the vehicle and change along with the rotating speed of the engine are collected and stored, and a graph of the noise in the vehicle is shown in an attached figure 1.
Step 2: and calculating the noise kurtosis according to the current engine speed and the current sound pressure level, and calculating the normalized noise kurtosis and the maximum normalized noise kurtosis through the noise kurtosis.
Step 2.1: a point is taken as A on any one of the noise curves of the total acceleration noise sound pressure level and the multi-order acceleration noise sound pressure leveln（n，Lpn) Wherein n (r/min) is AnEngine speed of point, Lpn(dB (A)) is the sound pressure level corresponding to An point.
Step 2.2: respectively to AnBilateral extension of dots, polypeptide, and nucleic acidkThe rotating speed is taken as two extended rotating speed points An-½△nk（n-½△nk，Lpn-½△nk）、An+½△nk（n+½△nk，Lpn+½△nk) The difference between the two extended rotation speed points is delta nkAnd obtaining sound pressure levels of the corresponding rotating speeds of the two extended rotating speed points, wherein k is any integer and is the code of any rotating speed.
Step 2.3: taking Deltan when calculating rotating speed nkThe noise kurtosis of the time is calculated according to the following formula:
Fnk=[ Lpn-½（Lpn-½△nk + Lpn+½△nk）]。
step 2.4: calculating the normalized noise kurtosis when the rotating speed is n, wherein the calculation formula is as follows:
Fnkr=Fnk/（△nk/△nr）
wherein Δ nrIs a normalized rotation speed.
Step 2.5: calculating the maximum normalized noise kurtosis when the rotating speed is n, wherein the calculation formula is as follows:
Fnrmax=MAX（Fnrk）。
and step 3: and calculating the noise subjective scores corresponding to different rotating speeds in the vehicle acceleration process and the total value of the synthesized subjective evaluation prediction scores in the whole acceleration process according to the noise kurtosis, and obtaining the acceleration noise evaluation condition according to a score standard table.
Step 3.1: calculating the subjective prediction score of the noise when the rotating speed corresponding to each noise curve in the step 2 is n:
when F is presentnrmax <At time 0:
Markn=10-0.5*| Fnrmax|，（10-0.5*| Fnrmax|≥0）；
Markn=0，（10-0.5*| Fnrmax|<0）；
when F is presentnrmaxWhen the ratio is more than or equal to 0:
Markn=10-Fnrmax，（10-Fnrmax≥0）；
Markn=0，（10-Fnrmax<0）。
the above calculation method is applicable to various acceleration noise curves. To distinguish between total (OA) and different order (order) accelerated noise sound pressure levels and corresponding scores, the subscripts are used to distinguish and represent: l ispn-OAMark as total noise sound pressure leveln-OAPredicting scores for subjective evaluation corresponding to the total noise sound pressure level; markn-morderFor an arbitrary order noise sound pressure level Lpn-morderCorresponding subjective evaluation prediction score, m is order, m ∈ (0, + ∞)；
Step 3.2: and (3) calculating the comprehensive effect of the total noise (OA) and each order noise (order), namely synthesizing the subjective evaluation prediction score, wherein the calculation formula is as follows:
Marknt=Markn-OA-
Figure 541692DEST_PATH_IMAGE001
and sigma represents that any m-order noise participating in the operation is subjected to operation in the formula and summed. Mark to distinguish between noise subjective prediction scores calculated from single curvesnThe subscript increases by t.
Finally, the score can be plotted as a curve of the variation of the rotation speed, and the curve of the noise in the vehicle and the subjective score prediction is shown in the attached figure 2.
Step 3.3: mark subjective scoring corresponding to multiple rotating speedsntThe average value and the sample estimation standard deviation value of the total score of the synthetic subjective prediction in the whole acceleration process are calculated, and the calculation formula is as follows:
Markt=average（Markn1t，Markn2t，Markn3t，…）-2*stdev（Markn1t，Markn2t，Markn3t，…）
wherein n is taken to be all the rotation speeds tested in the rotation speed section.
Example 1:
taking normalized rotation speed delta nr=300 r/min, the interval of the revolution speed of the upspeed engine is 25r/min, and the following calculated revolution speed is n =2100r/min and Δ nk1Normalized noise kurtosis of =50r/min, 50r/min being the step size.
As can be seen from table 3, at a rotational speed of n =2100r/min, the sound pressure level is 67.54, the rotational speeds at the two spread rotational speed points are 2125r/min and 2075r/min, respectively, and the corresponding sound pressure levels are 67.99 and 65.36, respectively.
AnNoise kurtosis F of a pointnk=[ Lpn-½（Lpn-½△nk + Lpn+½△nk）]=67.54-½*（67.99+65.36）=0.865。
AnGrouping of pointsNormalized noise kurtosis Fnkr=Fnk/（△nk/△nr）=0.865/（50/300）=5.19。
Taking the following steps according to the step length of 50 r/min:
△nk2=100 r/min, corresponding Fnkr=4.85
△nk3=150 r/min, corresponding Fnkr=3.66
…
△nk20=1000 r/min, F corresponding theretonkr=1.57
20 normalized noise kurtosis F can be calculatednkrTo obtain the maximum normalized noise kurtosis Fnkrmax=5.19。
Due to FnkrmaxNot less than 0 and 10-FnkrmaxThe rotation speed is more than or equal to 0, so the subjective prediction score of the rotation speed of 2100r/min is as follows:
Markn=10-Fnrmax=10-5.19=4.81。
since this score is a subjective prediction score corresponding to OA, it is noted Mark2100-OA=4.81。
Referring to table 3, corresponding to the corresponding order noise at the rotation speed of 2100r/min, the subjective prediction scores of 2 th order, 4 th order, 6 th order and 8 th order are calculated in the same way:
Lp2100-2order=66.90dB(A)，Mark2100-2order=4.06；
Lp2100-4order=49.09dB(A)，Mark2100-4order=8.74；
Lp2100-6order=50.31dB(A)，Mark2100-6order=6.40；
Lp2100-8order=40.01dB(A)，Mark2100-8order=9.37。
the subjective noise prediction evaluation at the rotating speed of 2100r/min comprises the following steps:
Mark2100t=Markn-OA-
Figure 316662DEST_PATH_IMAGE001
=4.26。
the calculation at other rotational speeds is the same as the above calculation method.
In the whole acceleration process, the total value of the combined subjective evaluation and prediction score is calculated according to the following formula;
Markt=average（Markn1，Markn2，Markn3，…，Markn20）-2*stdev（Markn1，Markn2，Markn3，…，Markn20）=9.32-1.15*2=7.02。
for the present example, the subjective evaluation was performed by 10 testers at a rotation speed of 2100r/min and the whole acceleration process, and the actual subjective scores are shown in table 1 below:
personnel code 2100r/min actual subjective assessment score Actual total subjective evaluation score
Number 1 4 7.5
Number 2 5 7
No. 3 4.5 6.5
Number 4 4 7
Number 5 5 6.5
Number 6 4 6.5
No. 7 4.5 7
Number 8 5 6.5
Number 9 5 7
Number 10 4.5 7
Mean value 4.55 6.85
Standard deviation of 0.44 0.34
Wherein, the scoring criteria are shown in table 2:
Figure DEST_PATH_IMAGE003
comparing the subjective evaluation scores, wherein the difference value between the 2100r/min synthesized subjective prediction score (4.26) obtained by calculation through the method and the mean value (4.55) of the actual subjective evaluation score is 0.29, the value is smaller than the standard deviation of the actual subjective evaluation score, the standard deviation is that the standard uncertainty is 0.44, and the synthesized subjective prediction score is equal to the actual subjective score in terms of statistics, so that the predicted value is used for representing the actual subjective score, and the method has considerable scientific, reference and actual application values.
Similarly, the same is true for the evaluation of noise in the whole acceleration process, the difference value between the total value of the synthetic noise subjective prediction score (7.02) and the total value of the actual subjective score (6.85) is 0.17, the value is smaller than the standard deviation of the total value of the actual subjective evaluation score, the standard deviation is 0.34, and the synthetic noise subjective prediction score is equal to the total value of the actual subjective score in a statistical sense, so that the actual subjective score is represented by a predicted value, and the method has considerable scientific, reference and practical application values.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Table 3: relation table of engine speed, total acceleration noise sound pressure level (OA-level) and multi-order acceleration noise sound pressure level (m order)
Lp/dB(A) Lp/dB(A) Lp/dB(A) Lp/dB(A) Lp/dB(A)
Engine speed/r/min OA-level 2 order 4 order 6 order 8 order
1400 54.76 47.54 49.57 36.06 37.24
1425 56.96 51.97 49.07 39.75 39.03
1450 56.97 51.97 48.11 39.98 40.43
1475 56.98 51.93 46.36 40.96 42.60
1500 57.31 52.63 43.12 41.32 48.52
1525 57.45 52.99 41.34 41.13 49.04
1550 57.59 53.49 40.05 40.65 49.46
1575 57.61 53.70 40.67 40.89 45.20
1600 57.54 53.59 42.23 41.35 45.19
1625 57.31 52.85 44.63 40.78 45.98
1650 57.25 52.37 45.49 37.52 45.05
1675 57.28 52.07 45.85 35.36 44.28
1700 57.44 52.00 45.93 34.41 44.81
1725 57.84 52.39 45.93 35.46 45.78
1750 58.14 52.77 46.51 36.68 46.11
1775 58.54 53.19 47.23 38.99 43.96
1800 58.67 53.29 47.56 40.91 41.98
1825 58.73 53.30 47.70 42.70 39.83
1850 58.70 53.17 47.41 43.65 39.73
1875 58.50 52.65 46.76 44.66 41.70
1900 58.35 52.25 46.03 44.44 42.79
1925 58.44 52.53 45.61 44.03 43.15
1950 58.82 53.71 45.66 48.59 43.17
1975 60.97 58.34 47.17 50.80 41.69
2000 61.92 59.85 47.59 51.41 40.00
2025 62.70 61.01 47.80 51.59 39.52
2050 63.48 62.08 48.13 51.70 39.94
2075 65.36 64.43 48.67 51.33 39.68
2100 67.54 66.90 49.09 50.31 40.01
2125 67.99 67.39 49.09 48.09 40.13
2150 68.37 67.81 49.23 47.28 40.03
2175 68.72 68.17 49.43 47.30 39.96
2200 69.18 68.64 50.32 47.85 39.49
2225 69.68 69.14 52.04 48.85 39.71
2250 69.93 69.37 52.70 49.49 41.38
2275 70.16 69.59 53.71 50.07 42.25
2300 70.22 69.64 53.91 50.01 42.46
2325 70.29 69.69 54.18 50.41 43.41
2350 70.40 69.76 54.60 50.56 43.61
2375 70.00 69.07 55.86 51.20 43.60
2400 69.80 68.81 55.85 50.91 43.44
2425 69.66 68.61 55.94 49.27 43.55
2450 69.37 68.22 56.00 47.56 44.18
2475 68.89 67.57 55.83 46.43 43.53
2500 68.06 66.44 55.35 45.60 44.32
2525 67.70 65.96 55.28 45.93 45.42
2550 67.51 65.70 55.22 45.80 46.52
2575 67.31 65.44 55.16 45.58 46.73
2600 67.05 65.06 54.90 46.04 47.48
2625 66.93 64.87 55.31 46.19 48.07
2650 67.00 64.90 56.03 45.62 48.43
2675 67.09 64.95 56.61 45.63 48.67
2700 67.21 65.02 57.27 45.58 47.98
2725 67.35 65.11 57.92 45.71 47.57
2750 67.49 65.19 58.62 46.28 47.20
2775 67.74 65.33 59.66 45.94 46.28
2800 68.03 65.44 60.83 46.00 45.34
2825 68.11 65.45 61.17 45.66 44.64
2850 68.19 65.44 61.54 45.36 45.87
2875 68.23 65.41 61.77 44.79 46.98
2900 68.25 65.27 62.13 44.48 47.65
2925 68.09 64.89 62.30 43.20 49.73
2950 68.00 64.73 62.23 42.78 50.24
2975 67.82 64.43 62.01 41.97 51.09
3000 67.43 63.85 61.40 40.68 52.09
3025 67.12 63.37 60.78 41.13 52.78
3050 66.80 62.87 60.01 41.44 53.06
3075 66.50 62.35 59.26 41.45 53.16
3100 66.22 61.78 58.44 42.19 52.67
3125 66.04 61.31 57.92 42.62 51.99
3150 65.74 60.07 57.28 42.80 50.45
3175 65.70 59.54 57.27 43.22 49.90
3200 65.72 58.87 57.83 43.97 49.13
3225 65.84 58.39 58.61 45.11 48.93
3250 66.00 58.24 59.23 45.99 48.85
3275 66.20 58.34 59.77 46.69 49.26
3300 66.37 58.59 60.19 47.21 49.45
3325 66.77 59.54 60.83 48.11 50.68
3350 66.98 60.13 61.07 48.48 51.47
3375 67.29 61.00 61.29 49.04 51.81
3400 67.63 61.94 61.42 49.39 52.00
3425 68.04 63.02 61.39 50.31 52.03
3450 68.35 63.81 61.27 50.82 51.80
3475 68.66 64.56 61.08 51.28 51.26
3500 69.21 65.79 60.64 51.83 50.40
3525 69.55 66.49 60.31 52.21 50.16
3550 69.80 67.00 60.00 52.30 49.79
3575 69.96 67.33 59.75 52.38 49.69
3600 70.23 67.83 59.28 52.11 49.40
3625 70.52 68.36 58.62 52.08 49.01
3650 70.76 68.77 57.69 51.61 49.19
3675 70.83 68.87 57.00 51.27 49.96
3700 70.84 68.86 56.61 51.13 50.07
3725 70.80 68.77 56.17 50.59 50.44
3750 70.71 68.53 55.70 50.44 50.55
3775 70.52 68.08 55.33 50.43 50.22
3800 70.36 67.66 55.15 50.91 50.32
3825 70.15 67.05 55.12 50.65 51.23
3850 69.93 66.34 55.25 51.23 52.39
3875 69.70 65.42 55.63 51.62 54.74
3900 69.66 65.15 55.78 51.94 55.76
3925 69.65 64.98 55.90 52.18 57.22
3950 69.69 64.95 56.06 52.43 57.70
3975 69.83 65.13 56.28 52.66 58.26
4000 70.15 65.72 56.54 53.07 58.67

Claims (1)

1. A method for predicting subjective scoring of noise in a vehicle during vehicle acceleration is characterized by comprising the following steps: the method comprises the following steps:
step 1: collecting and storing signals of the sound pressure level of the total acceleration noise beside the ears and the sound pressure level of multi-order acceleration noise changing along with the rotating speed of the engine in the acceleration process of the vehicle;
step 2: calculating noise kurtosis according to the current engine speed and the current sound pressure level, and calculating normalized noise kurtosis and maximum normalized noise kurtosis through the noise kurtosis;
step 2.1: a point is taken as A on any one of the noise curves of the total acceleration noise sound pressure level and the multi-order acceleration noise sound pressure leveln(n，Lpn) Wherein n is AnEngine speed of point, LpnIs AnThe corresponding sound pressure level;
step 2.2: respectively to AnTwo-sided spread 1/2 Δ n of pointskThe rotating speed is taken as two extended rotating speed points An-1/2△nk(n-1/2△nk，Lpn-1/2△nk)、An+1/2△nk(n+1/2△nk，Lpn+1/2△nk) The difference between the two extended rotation speed points is delta nkObtaining sound pressure levels of the corresponding rotating speeds of the two extended rotating speed points, wherein k is any rotating speed and is an integer;
step 2.3: taking Deltan when calculating rotating speed nkThe noise kurtosis of the time is calculated according to the following formula:
Fnk＝[Lpn-1/2(Lpn-1/2△nk+Lpn+1/2△nk)]；
step 2.4: calculating the normalized noise kurtosis when the rotating speed is n, wherein the calculation formula is as follows:
Fnkr＝Fnk/(△nk/△nr)
wherein Δ nrIs a normalized rotation speed;
step 2.5: calculating the maximum normalized noise kurtosis when the rotating speed is n, wherein the calculation formula is as follows:
Fnrmax＝MAX(Fnrk)；
and step 3: calculating noise subjective prediction scores corresponding to different rotating speeds in the vehicle acceleration process and a total value of the synthesized subjective prediction scores in the whole acceleration process according to the noise kurtosis, and obtaining the acceleration noise evaluation condition according to a score standard table;
in the step 3, the method further comprises the following sub-steps:
step 3.1: calculating the subjective prediction score of the noise when the rotating speed corresponding to each noise curve in the step 2 is n:
when F is presentnrmax<At time 0:
Markn＝10-0.5*|Fnrmax|，10-0.5*|Fnrmax|≥0；
Markn＝0，10-0.5*|Fnrmax|<0；
when F is presentnrmaxWhen the ratio is more than or equal to 0:
Markn＝10-Fnrmax，10-Fnrmax≥0；
Markn＝0，10-Fnrmax<0；
step 3.2: and (3) calculating a synthesized subjective evaluation prediction score according to the following calculation formula:
Figure FDA0002703598430000011
wherein L ispn-OAMark as total noise sound pressure leveln-OAPredicting scores for subjective evaluation corresponding to the total noise sound pressure level; markn-morderFor an arbitrary order noise sound pressure level Lpn-morderCorresponding subjective evaluation prediction scores, wherein m is the order, and m belongs to (0, + ∞); sigma represents that m-order noise which participates in the operation arbitrarily is operated and summed in a formula;
step 3.3: mark subjective scoring corresponding to multiple rotating speedsntMean and sample estimation ofAnd calculating a total score of the synthesized subjective evaluation prediction in the whole acceleration process by the standard deviation value, wherein the calculation formula is as follows:
Markt＝average(Markn1t，Markn2t，Markn3t，…)-2*stdev(Markn1t，Markn2t，Markn3t，…)。
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