CN112380485B - Method for objectively evaluating consistency of NVH (noise, vibration and harshness) of new energy automobile electric drive assembly - Google Patents
Method for objectively evaluating consistency of NVH (noise, vibration and harshness) of new energy automobile electric drive assembly Download PDFInfo
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- CN112380485B CN112380485B CN202011170038.5A CN202011170038A CN112380485B CN 112380485 B CN112380485 B CN 112380485B CN 202011170038 A CN202011170038 A CN 202011170038A CN 112380485 B CN112380485 B CN 112380485B
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Abstract
The invention discloses a method for objectively evaluating consistency of NVH (noise, vibration and harshness) of a new energy automobile electric drive assembly, which comprises the following steps: performing data processing on characteristic orders of the motor and the speed reducer by using different order bandwidths to respectively obtain order slices with different order widths, namely masking noise with wider bandwidth and tunable noise with narrower bandwidth; carrying out mathematical subtraction on the results of the two different order widths to obtain the masking degree of the corresponding order noise relative to the environmental noise, and if the difference value is larger, indicating that the order noise is easy to be masked by the environmental noise; if the difference is larger, it means that the order noise is not easily masked by the environmental noise, i.e., subjective feeling is more prominent. The method accurately identifies the related order problem vehicle speed of the electric drive assembly, thereby preparing the order noise difference value level based on the masking effect, namely, determining the subjective scoring standard of the vehicle. And the consistency of objective data and subjective evaluation results is ensured by determining subjective scoring standards.
Description
Technical Field
The invention relates to a method for objectively evaluating consistency of NVH (noise, vibration and noise) of a new energy automobile electric drive assembly in the field of automobile vibration noise.
Background
The main NVH problem of the existing new energy electric drive assembly is the squeal problem, and specifically comprises motor electromagnetic noise, gear squeal of a reduction gearbox and the like. At present, NVH objective data acquisition and analysis means aiming at new energy electric drive are mature, but a subjective evaluation method based on the whole new energy is mainly based on subjective comfort evaluation, and the evaluation method can be based on different subjective evaluation staff, so that different evaluation results are generated.
The objective data can reflect the near-field noise of the electric drive assembly and also reflect the noise in the vehicle, and the subjective evaluation is mainly based on subjective feeling of the noise in the vehicle, the subjective feeling and the subjective feeling are different, the absolute value of the noise is different, and the noise in the vehicle is influenced by the transmission path of the whole vehicle and the acoustic environment of the whole vehicle.
Disclosure of Invention
The invention aims at: the method for objectively evaluating the consistency of the NVH of the electric drive assembly of the new energy automobile solves the problem that the consistency between the subjective evaluation and the objective data is different based on the whole automobile platform of the new energy automobile.
The technical scheme of the invention is as follows:
a method for objectively evaluating consistency of NVH (noise, vibration and harshness) of a new energy automobile electric drive assembly comprises the following steps:
S1, carrying out data processing on characteristic orders of a motor and a speed reducer according to different order bandwidths to respectively obtain order slices with different order widths, namely obtaining shielding noise with wider bandwidth and tunable noise with narrower bandwidth;
s2, carrying out mathematical subtraction on the results of the two different order widths to obtain the masking degree of corresponding order noise relative to the environmental noise, and if the difference value is larger, indicating that the order noise is easy to mask by the environmental noise; if the difference is larger, it means that the order noise is not easily masked by the environmental noise, i.e., subjective feeling is more prominent.
Preferably, the method for selecting the order bandwidth comprises the following steps:
The lower limit frequency of shielding noise takes (1-11%) of center frequency, the upper limit frequency takes (1 plus 11%) of center frequency, and the order bandwidth is 22% of center frequency;
The lower limit frequency of the modulated noise is (1-1.5%) center frequency, the upper limit frequency is (1+1.5%) center frequency, and the order bandwidth is 3% center frequency.
Preferably, two sets of data with different order bandwidths are put into a data chart Dataset of F1 and F2, wherein F1 is shielding noise data with 22% order bandwidth, and F2 is tunable noise data with 3% order bandwidth; a function f3=f1-F2 is written, and a noise curve at each vehicle speed is calculated through the function F3.
Preferably, filtering analysis is carried out on noise data of the right ear of a driver in the vehicle according to a noise curve, and a problem vehicle speed section of characteristic orders of a motor and a speed reducer is identified, so that a standard line acceptable for subjective evaluation is defined.
Preferably, the step of filtering and analyzing the problematic vehicle speed section aiming at the characteristic orders of the motor and the speed reducer comprises the following steps:
a. finding out more prominent order noise according to a noise color chart of the right ear of a driver in the vehicle;
b. filtering and replaying the test audio signal of the right ear of the driver in the vehicle, and judging and confirming that the noise of a certain order is obvious when the noise of a certain order is at what rotating speed by continuously replaying different rotating speed sections and the filter with the increased order;
c. And defining subjective scoring standards according with subjective and objective consistency principles by combining bandwidth subtraction results of different orders.
The invention has the advantages that:
The method accurately identifies the related order problem vehicle speed of the electric drive assembly, thereby preparing the order noise difference value level based on the masking effect, namely, determining the subjective scoring standard of the vehicle. And the consistency of objective data and subjective evaluation results is ensured by determining subjective scoring standards.
Drawings
The invention is further described below with reference to the accompanying drawings and examples:
FIG. 1 is a graph of noise at a vehicle speed of 10-120km/h for different order width noise;
Fig. 2 is a right ear noise plot of the driver in the vehicle.
Detailed Description
The invention discloses a method for objectively evaluating consistency of NVH (noise, vibration and harshness) of a new energy automobile electric drive assembly, which comprises the following steps:
S1, carrying out data processing on characteristic orders of a motor and a speed reducer according to different order bandwidths to respectively obtain order slices with different order widths, namely obtaining shielding noise with wider bandwidth and tunable noise with narrower bandwidth;
s2, carrying out mathematical subtraction on the results of the two different order widths to obtain the masking degree of corresponding order noise relative to the environmental noise, and if the difference value is larger, indicating that the order noise is easy to mask by the environmental noise; if the difference is larger, it means that the order noise is not easily masked by the environmental noise, i.e., subjective feeling is more prominent.
The method for selecting the order bandwidth comprises the following steps:
The lower limit frequency of shielding noise takes (1-11%) of center frequency, the upper limit frequency takes (1 plus 11%) of center frequency, and the order bandwidth is 22% of center frequency;
The lower limit frequency of the modulated noise is (1-1.5%) center frequency, the upper limit frequency is (1+1.5%) center frequency, and the order bandwidth is 3% center frequency.
In step S1, the subtraction result of different order bandwidths of the noise test data of the right ear of the driver in the vehicle is imported into table 1.
The purpose of carrying out the bandwidth subtraction of different orders is to obtain the prominence of the corresponding order relative to the environmental noise, namely, the larger the bandwidth subtraction result of different orders is, the better the masking effect of the environmental noise on the order noise is, and the smaller the subtraction result is, the more obvious the order noise is, and the environment is not easy to mask. The specific operation is as follows:
a. Two groups of data with different order bandwidths are put into a data chart Dataset of F1 and F2, as shown in table 1, F1 is shielding noise data with 22% order bandwidth, and F2 is tunable noise data with 3% order bandwidth;
TABLE 1
B. The function f3=f1-F2 is written as shown in table 2.
TABLE 2
C. And clicking a calculation through a function F3, and storing a calculation result to obtain a noise curve at the speed of 10-120km/h, as shown in figure 1.
And (3) carrying out filtering analysis on noise data of the right ear of a driver in the vehicle according to the noise curve, and identifying a problem vehicle speed section of the characteristic orders of the motor and the speed reducer, thereby defining a standard line acceptable for subjective evaluation. As shown in fig. 1, the acceptance criterion is an order bandwidth difference of 6dB, i.e., considered as a subjective rating score of 6 (acceptance).
Aiming at the characteristic orders of the motor and the speed reducer, the filtering and analyzing step of the speed segment comprises the following steps:
a. finding out more prominent order noise according to a noise color chart of the right ear of a driver in the vehicle; as shown in fig. 2, the 22 nd and 48 th order noise are more prominent;
b. filtering and replaying the test audio signal of the right ear of the driver in the vehicle, and judging and confirming that the noise of a certain order is obvious when the noise of a certain order is at what rotating speed by continuously replaying different rotating speed sections and the filter with the increased order;
c. And defining subjective scoring standards according with subjective and objective consistency principles by combining bandwidth subtraction results of different orders. Subjective evaluation scoring criteria are shown in table 3.
TABLE 3 Table 3
The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement the same according to the content of the present invention, and are not intended to limit the scope of the present invention. All modifications made according to the spirit of the main technical proposal of the invention should be covered in the protection scope of the invention.
Claims (3)
1. The method for objectively evaluating the consistency of NVH of the electric drive assembly of the new energy automobile is characterized by comprising the following steps of:
S1, carrying out data processing on characteristic orders of a motor and a speed reducer according to different order bandwidths to respectively obtain order slices with different order widths, namely obtaining shielding noise with wider bandwidth and tunable noise with narrower bandwidth;
S2, carrying out mathematical subtraction on the results of the two different order widths to obtain the masking degree of corresponding order noise relative to the environmental noise, and if the difference value is larger, indicating that the order noise is easy to mask by the environmental noise; if the difference value is smaller, the order noise is not easy to be covered by the environmental noise, namely subjective feeling is more prominent;
According to the noise curve, filtering analysis is carried out on noise data of the right ear of a driver in the vehicle, and a problem vehicle speed section of the characteristic orders of the motor and the speed reducer is identified, so that a standard line acceptable for subjective evaluation is defined; the method comprises the steps of carrying out filtering analysis on noise data of a right ear of a driver in a vehicle, and identifying a problem vehicle speed section of characteristic orders of a motor and a speed reducer:
a. finding out more prominent order noise according to a noise color chart of the right ear of a driver in the vehicle;
b. filtering and replaying the test audio signal of the right ear of the driver in the vehicle, and judging and confirming that the noise of a certain order is obvious when the noise of a certain order is at what rotating speed by continuously replaying different rotating speed sections and the filter with the increased order;
c. And defining subjective scoring standards according with subjective and objective consistency principles by combining bandwidth subtraction results of different orders.
2. The method for objectively evaluating consistency of NVH (noise, vibration and harshness) of a new energy automobile electric drive assembly according to claim 1, wherein the method for selecting the order bandwidth is as follows:
The lower limit frequency of shielding noise takes 1-11% of the center frequency, the upper limit frequency takes 1 plus 11% of the center frequency, and the order bandwidth is 22% of the center frequency;
The lower limit frequency of the modulated noise is 1-1.5% of the center frequency, the upper limit frequency is 1 plus 1.5% of the center frequency, and the order bandwidth is 3% of the center frequency.
3. The method for objectively evaluating consistency of NVH of a new energy automobile electric drive assembly according to claim 2, wherein two sets of data with different order bandwidths are put into a data chart Dataset of F1 and F2, F1 is masking noise data with 22% order bandwidth, and F2 is tunable noise data with 3% order bandwidth; a function f3=f1-F2 is written, and a noise curve at each vehicle speed is calculated through the function F3.
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