Vehicle noise evaluation method and device, computer equipment and storage medium

Abstract

The invention provides a vehicle noise evaluation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining target noise curve information of a to-be-tested vehicle driving on a target road section, the target noise curve information being used for indicating decibel values of different noise frequencies; based on the target noise curve information and reference noise curve information corresponding to the target road section, noise evaluation scores of the to-be-tested vehicle in multiple frequency bands are determined, the reference noise curve information is generated by using multiple pieces of candidate noise curve information, and the reference noise curve information is generated by using multiple pieces of candidate noise curve information; the candidate noise curve is generated when a reference vehicle runs on the target road section; and generating a noise evaluation result of the to-be-tested vehicle based on the noise evaluation scores of the to-be-tested vehicle in the plurality of frequency bands.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a vehicle noise evaluation method, device, computer equipment and storage medium. Background Art

[0002] With the development of science and technology, vehicles have become an indispensable means of transportation for people to travel. In order to ensure the performance of the vehicle, it is necessary to test the vehicle to obtain the vehicle test results. Among them, the NVH performance of the vehicle is the general term for various indicators such as noise, vibration, and comfort.

[0003] The vibration and noise performance of a vehicle is mainly divided into powertrain noise, road noise and wind noise. Under the dual pressure of environmental pollution and energy crisis, electric vehicles have been recognized by the industry for their energy-saving and environmental protection characteristics. Compared with traditional internal combustion engines, electric vehicles do not have the masking effect of powertrain noise, making road noise particularly prominent in medium and low frequency noise. Among them, the energy of medium and low frequency road noise on rough roads is relatively large, which brings a poor experience to customers and is very likely to cause customer complaints. Therefore, it is particularly important to evaluate the noise of vehicles on rough roads. Summary of the invention

[0004] The embodiments of the present disclosure at least provide a vehicle noise evaluation method, apparatus, computer equipment and storage medium.

[0005] In a first aspect, an embodiment of the present disclosure provides a vehicle noise evaluation method, comprising:

[0006] Obtaining target noise curve information of the vehicle to be tested traveling on a target road section, wherein the target noise curve information is used to indicate decibel values ​​of different noise frequencies;

[0007] Determine the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section, wherein the reference noise curve information is generated using multiple candidate noise curve information, and the candidate noise curves are generated by the reference vehicle driving on the target road section;

[0008] A noise evaluation result of the vehicle to be tested is generated based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands.

[0009] In an optional implementation manner, generating a noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands includes:

[0010] Based on the weights corresponding to the multiple frequency bands and the noise evaluation scores, a first noise evaluation result of the vehicle to be tested is generated; wherein the first noise evaluation result is used to characterize the overall road noise performance of the vehicle to be tested, and the weight of the frequency band is determined based on the degree of influence of the noise in the frequency band after being perceived by the user, and / or the noise test component concerned by the test.

[0011] In an optional implementation manner, generating a noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands includes:

[0012] A second noise evaluation result of a local part of the vehicle to be tested is generated according to the noise evaluation score of the vehicle to be tested in at least one of the frequency bands, wherein the local part of the vehicle to be tested is related to the noise causing the frequency band.

[0013] In an optional implementation, determining the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section includes:

[0014] Based on the target noise curve information and the reference noise curve information, generating deviation curve information of the vehicle to be tested, the deviation curve information including decibel deviation values ​​at multiple noise frequencies;

[0015] Based on the deviation curve information, noise evaluation scores of the vehicle to be tested in multiple frequency bands are determined.

[0016] In an optional implementation manner, determining the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the deviation curve information includes:

[0017] For each of the frequency segments, determining a sum of decibel deviation values ​​of a plurality of noise frequencies within the frequency segment according to the deviation curve information;

[0018] Generate an adjusted deviation sum value based on a sum of decibel deviation values ​​of a plurality of noise frequencies within the frequency band and a preset coefficient;

[0019] Based on the preset score and the adjusted deviation and value, a noise evaluation score of the vehicle to be tested in the frequency band is generated.

[0020] In an optional implementation manner, determining the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the deviation curve information includes:

[0021] Adjusting the decibel deviation value in the deviation curve information that is less than the preset deviation value to generate adjusted deviation curve information;

[0022] Based on the adjusted deviation curve information, noise evaluation scores of the vehicle to be tested in multiple frequency bands are determined.

[0023] In an optional implementation manner, the reference noise curve information corresponding to the target road section is determined according to the following steps:

[0024] Acquire candidate noise curve information of a plurality of reference vehicles traveling on the target road section;

[0025] Averaging the decibel values ​​of the same noise frequency in the candidate noise curve information corresponding to the multiple reference vehicles, to generate average noise curve information corresponding to the target road section;

[0026] Based on the average noise curve information, reference noise curve information corresponding to the target road section is generated.

[0027] In an optional implementation manner, the multiple frequency segments include:

[0028] The first frequency band used to evaluate low-frequency ear pressure road noise performance;

[0029] The second frequency band is used to evaluate the performance of mid- and low-frequency road noise;

[0030] The third frequency band is used to evaluate the road noise performance of mid-frequency drum sounds;

[0031] The fourth frequency band is used to evaluate tire cavity sound road noise performance;

[0032] The fifth frequency band is used to evaluate high-frequency road noise performance.

[0033] In a second aspect, the present disclosure also provides a vehicle noise evaluation device, including:

[0034] An acquisition module, used to acquire target noise curve information of a vehicle to be tested traveling on a target road section, wherein the target noise curve information is used to indicate decibel values ​​of different noise frequencies;

[0035] A determination module, configured to determine the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section, wherein the reference noise curve information is generated using multiple candidate noise curve information, and the candidate noise curves are generated by the reference vehicle driving on the target road section;

[0036] A generating module is used to generate a noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands.

[0037] In a third aspect, an embodiment of the present disclosure provides a computer device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the vehicle noise evaluation method described in the first aspect or any one of the embodiments are performed.

[0038] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the vehicle noise evaluation method as described in the first aspect or any one of the embodiments are executed.

[0039] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and are not intended to limit the technical solutions of the present application.

[0040] The vehicle noise evaluation method, device, computer equipment and storage medium provided by the embodiments of the present disclosure obtain target noise curve information of the vehicle to be tested traveling on a target road section, wherein the target noise curve information is used to indicate decibel values ​​of different noise frequencies, and the target noise curve information can reflect the road noise generated by the vehicle to be tested when traveling on the target road section; since the reference noise curve information is generated based on candidate noise curve information of multiple reference vehicles on the target road section, the reference noise curve information can be used as a reference curve of the target road section, so based on the target noise curve information and the reference noise curve information corresponding to the target road section, the noise evaluation scores of the vehicle to be tested in multiple frequency bands can be determined more accurately, and then based on the noise evaluation scores of the vehicle to be tested in multiple frequency bands, the noise evaluation results of the vehicle to be tested can be generated, thereby achieving an objective evaluation of the road noise performance of the vehicle to be tested. At the same time, in the embodiment of the present disclosure, noise evaluation scores for multiple frequency bands are generated. From the perspective of different frequency bands, multiple noise evaluation scores for the vehicle to be tested are determined, so that noise evaluation results can be generated according to the noise evaluation scores for different frequency bands, and the road noise performance of the vehicle to be tested is comprehensively evaluated, thereby ensuring the accuracy of the noise evaluation results.

[0041] Since the embodiment of the present disclosure determines the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section, for the vehicles to be tested with a large difference in road noise performance, the target noise curve information has a large difference, and the noise evaluation scores of the multiple frequency bands obtained have a large difference. It can be seen that when the vehicle to be tested is tested through the embodiment of the present disclosure, the contrast of the noise evaluation results between the vehicles to be tested with different road noise performance is large, and the noise evaluation results of the vehicles are generated by using the noise evaluation scores, which can make the noise evaluation results more intuitive.

[0042] In order to make the above-mentioned objectives, features and advantages of the embodiments of the present disclosure more obvious and understandable, preferred embodiments are specifically cited below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the following briefly introduces the drawings required for use in the embodiments, which are incorporated into the specification and constitute a part of the specification, and these drawings illustrate embodiments consistent with the present disclosure, and together with the specification, are used to illustrate the technical solutions of the embodiments of the present disclosure. It should be understood that the following drawings only illustrate certain embodiments of the present disclosure, and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can also be obtained based on these drawings without paying creative work.

[0044] Figure 1 A schematic diagram showing a flow chart of a vehicle noise evaluation method provided in some embodiments of the present application;

[0045] Figure 2 A schematic diagram showing target noise curve information in a vehicle noise evaluation method provided in some embodiments of the present application;

[0046] Figure 3 A schematic diagram showing the structure of a vehicle noise evaluation device provided in some embodiments of the present application is shown;

[0047] Figure 4 A schematic diagram of the structure of a computer device provided in some embodiments of the present application is shown. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical scheme and advantages of the embodiments of the present disclosure clearer, the technical scheme in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. The components of the embodiments of the present disclosure generally described and shown herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure is not intended to limit the scope of the present disclosure claimed for protection, but merely represents the selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the embodiments of the present disclosure.

[0049] The vibration and noise performance of a vehicle is mainly divided into powertrain noise, road noise and wind noise. Under the dual pressure of environmental pollution and energy crisis, electric vehicles have been recognized by the industry for their energy-saving and environmental protection characteristics. Compared with traditional internal combustion engines, electric vehicles do not have the masking effect of powertrain noise, making road noise particularly prominent in medium and low frequency noise. Among them, the road noise on rough roads has a large energy in the medium and low frequencies, which brings a poor experience to customers and is very likely to cause customer complaints.

[0050] In the related art, the sound pressure level noise value is usually used as an objective evaluation index for the evaluation of road noise. However, the indicators using the sound pressure level noise value have the following problems: 1. The contrast is not enough, that is, the vehicles with large differences in road noise performance have small differences in corresponding sound pressure level noise, and they cannot correspond well to the subjective scores, and the evaluation indicators are not intuitive; 2. Low-frequency road noise can cause ear pressure, which is very likely to cause user complaints. The evaluation method of the sound pressure level noise value cannot carefully consider the road noise level of each frequency band, and the evaluation accuracy is inaccurate.

[0051] Based on the above research, an embodiment of the present disclosure provides a vehicle noise evaluation method, which obtains target noise curve information of a vehicle to be tested traveling on a target road section, and the target noise curve information is used to indicate the decibel values ​​of different noise frequencies. The target noise curve information can reflect the road noise generated by the vehicle to be tested when traveling on the target road section; since the reference noise curve information is generated based on candidate noise curve information of multiple reference vehicles on the target road section, the reference noise curve information can be used as a baseline curve of the target road section. Therefore, based on the target noise curve information and the reference noise curve information corresponding to the target road section, the noise evaluation scores of the vehicle to be tested in multiple frequency bands can be determined more accurately, and then based on the noise evaluation scores of the vehicle to be tested in multiple frequency bands, the noise evaluation results of the vehicle to be tested can be generated, thereby achieving an objective evaluation of the road noise performance of the vehicle to be tested. At the same time, in the embodiment of the present disclosure, noise evaluation scores for multiple frequency bands are generated. From the perspective of different frequency bands, multiple noise evaluation scores for the vehicle to be tested are determined, so that noise evaluation results can be generated according to the noise evaluation scores for different frequency bands, and the road noise performance of the vehicle to be tested is comprehensively evaluated, thereby ensuring the accuracy of the noise evaluation results.

[0052] Since the embodiment of the present disclosure determines the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section, for the vehicles to be tested with a large difference in road noise performance, the target noise curve information has a large difference, and the noise evaluation scores of the multiple frequency bands obtained have a large difference. It can be seen that when the vehicle to be tested is tested through the embodiment of the present disclosure, the contrast of the noise evaluation results between the vehicles to be tested with different road noise performance is large, and the noise evaluation results of the vehicles are generated by using the noise evaluation scores, which can make the noise evaluation results more intuitive.

[0053] The problems mentioned in the foregoing content are all the results obtained by the inventor after practice and careful research. Therefore, the process of discovering the above problems and the solutions proposed in the embodiments of the present disclosure for the above problems below should all be the contributions made by the inventor to the embodiments of the present disclosure in the process of the embodiments of the present disclosure.

[0054] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0055] To facilitate understanding of this embodiment, a vehicle noise evaluation method disclosed in the embodiment of the present disclosure is first introduced in detail. The execution subject of the vehicle noise evaluation method provided in the embodiment of the present disclosure is generally a computer device with certain computing capabilities, and the computer device includes, for example: a terminal device or a server, and the terminal device can be a user equipment (UE), a computing device, a vehicle-mounted device, etc. In some possible implementations, the vehicle noise evaluation method can be implemented by a processor calling a computer-readable instruction stored in a memory.

[0056] See also Figure 1 FIG. 1 is a flow chart of a vehicle noise evaluation method provided by an embodiment of the present disclosure, wherein the method comprises: S101-S103, wherein:

[0057] S101, obtaining target noise curve information of a vehicle to be tested traveling on a target road section, wherein the target noise curve information is used to indicate decibel values ​​of different noise frequencies;

[0058] S102, determining noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and reference noise curve information corresponding to the target road section, wherein the reference noise curve information is generated using information of multiple candidate noise curves, and the candidate noise curves are generated by a reference vehicle driving on the target road section;

[0059] S103: Generate a noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands.

[0060] The following describes S101 to S103 in detail.

[0061] For S101:

[0062] In actual evaluation, the target road section can be determined according to the evaluation requirements. For example, the target road section can be any road section with rough road surface. In implementation, the vehicle to be tested can be controlled to travel on the target road section, and the installed sensors can be used to collect the decibel values ​​of multiple noise frequencies generated by the vehicle to be tested during driving. According to the decibel values ​​of multiple noise frequencies, the target noise curve information corresponding to the vehicle to be tested is constructed. The target noise curve information can be sound pressure level noise curve information. Figure 2 The target noise curve information shown indicates decibel values ​​at different noise frequencies, and the decibel value may be a decibel value of the sound pressure level.

[0063] For S102:

[0064] During implementation, reference noise curve information of the target road section can be generated based on candidate noise curve information of multiple reference vehicles after driving on the target road section. For example, the best candidate noise curve information can be selected from multiple reference vehicles as the reference noise curve information; or, the best candidate noise curve information selected from multiple reference vehicles can be adjusted to obtain the reference noise curve information, and the adjustment process can be, for example, subtracting the preset value from the decibel value of different noise frequencies in the best candidate noise curve information.

[0065] In an optional implementation, the reference noise curve information corresponding to the target road section can be determined according to the following steps: obtaining candidate noise curve information of multiple reference vehicles traveling on the target road section; averaging the decibel values ​​of the same noise frequency in the candidate noise curve information corresponding to the multiple reference vehicles respectively, to generate average noise curve information corresponding to the target road section; based on the average noise curve information, generating reference noise curve information corresponding to the target road section.

[0066] During implementation, candidate noise curve information of multiple reference vehicles traveling on a target road section is obtained. Reference vehicles can be randomly selected as needed, for example, multiple vehicles of different types and shapes can be selected as reference vehicles. The decibel values ​​of the same noise frequency in the candidate noise curve information corresponding to the multiple reference vehicles are averaged to obtain the average decibel value of the noise frequency. Based on the average decibel values ​​corresponding to the respective noise frequencies, the average noise curve information corresponding to the target road section is generated.

[0067] Then, the average noise curve information can be directly determined as the reference noise curve information corresponding to the target road section; or, the average decibel value corresponding to each noise frequency in the average noise curve information can be subtracted from the preset decibel value to obtain the reference noise curve information of the target road section, wherein the preset decibel value can be set as needed, for example, when the road noise performance requirement is high, the preset decibel value can be set larger; conversely, when the road noise performance requirement is low, the preset decibel value can be set smaller. The reference noise curve information includes the reference decibel value at each noise frequency.

[0068] Here, by utilizing the candidate noise curve information of multiple reference vehicles, the reference noise curve information can be generated more accurately. Since the reference noise curve information can characterize the distribution of decibel values ​​of various noise frequencies when multiple reference vehicles are traveling on the target road section, the reference noise curve can be used to evaluate the road noise performance of the test vehicle more accurately.

[0069] After determining the reference noise curve information of the target road section, the noise evaluation scores of the vehicle to be tested in multiple frequency bands can be determined according to the target noise curve information and the reference noise curve information corresponding to the target road section. For example, for each frequency band, the decibel difference between the decibel value indicated by the target noise curve information and the decibel value indicated by the reference noise curve information corresponding to multiple noise frequencies in the frequency band can be determined; then the decibel differences under multiple noise frequencies are averaged to obtain the noise evaluation score under the frequency band.

[0070] The multiple frequency segments include: a first frequency segment for evaluating low-frequency ear pressure road noise performance; a second frequency segment for evaluating medium- and low-frequency road noise performance; a third frequency segment for evaluating medium-frequency drumming road noise performance; a fourth frequency segment for evaluating tire cavity sound road noise performance; and a fifth frequency segment for evaluating high-frequency road noise performance. The noise frequency range corresponding to the frequency segment is determined according to the purpose of the frequency segment.

[0071] During implementation, after selecting a target road section, the noise frequencies generated by multiple vehicles when traveling on the target road section can be used as prior knowledge, and the prior knowledge can be statistically analyzed to obtain the noise frequency range in which most of the road noise generated by the target road section is located. For example, when the target road section is a rough road section, if research finds that most of the road noise generated by the rough road section is between 20-1000Hz, and the decibel value corresponding to the frequency above 1000Hz is small, then 20-1000Hz can be used as the determined noise frequency range. When the target road section is a rough road section, the maximum noise frequency in the noise frequency range is related to the roughness of the road surface of the target road section. For example, the noise frequency range can be 20-1000Hz, 20-2000Hz, and so on.

[0072] For example, if the determined noise frequency range is 20-1000 Hz, the divided multiple frequency segments may include: the first frequency segment may be [20-45], the second frequency segment may be [46-70], the third frequency segment may be [71-170], the fourth frequency segment may be [171-300], and the fifth frequency segment may be [301-1000].

[0073] For another example, if the determined noise frequency range is 20-2000 Hz, the divided multiple frequency segments may include: the first frequency segment may be [20-45], the second frequency segment may be [46-70], the third frequency segment may be [71-170], the fourth frequency segment may be [171-300], and the fifth frequency segment may be [301-2000]; or, the divided multiple frequency segments may include: the first frequency segment may be [20-45], the second frequency segment may be [46-70], the third frequency segment may be [71-170], the fourth frequency segment may be [171-300], the fifth frequency segment may be [301-1000], and the sixth frequency segment may be [1001-2000]. The unit of the matching of the above frequency segments is Hz.

[0074] In an optional implementation manner, in step S102, based on the target noise curve information and the reference noise curve information corresponding to the target road section, determining the noise evaluation scores of the vehicle to be tested in multiple frequency bands specifically includes:

[0075] Step 21, generating deviation curve information of the vehicle to be tested based on the target noise curve information and the reference noise curve information, wherein the deviation curve information includes decibel deviation values ​​at multiple noise frequencies;

[0076] Step 22: Determine the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the deviation curve information.

[0077] In step 21, the decibel values ​​of the same noise frequency in the target noise curve information and the reference noise curve information may be subtracted to obtain decibel deviation values ​​corresponding to a plurality of noise frequencies; the decibel deviation values ​​corresponding to a plurality of noise frequencies constitute the deviation curve information.

[0078] The deviation curve information is generated exemplarily according to the following formula (1):

[0079] gg(x)=h(x)-g(x) (1)

[0080] Where h(x) is the target noise curve information of the vehicle to be tested, g(x) is the reference noise curve information, and gg(x) is the deviation curve information.

[0081] In step 22, for each frequency segment, the decibel deviation values ​​corresponding to the various noise frequencies in the frequency segment in the deviation curve information may be averaged to obtain a noise evaluation value.

[0082] In an optional implementation, in step 22, the noise evaluation score of the vehicle to be tested in multiple frequency bands is determined based on the deviation curve information, including: for each frequency band, according to the deviation curve information, determining the sum of decibel deviation values ​​of multiple noise frequencies located in the frequency band; based on the sum of decibel deviation values ​​of multiple noise frequencies located in the frequency band, and a preset coefficient, generating an adjusted deviation sum value; based on the preset score and the adjusted deviation sum value, generating the noise evaluation score of the vehicle to be tested in the frequency band.

[0083] For each frequency band, the sum of the decibel deviation values ​​of multiple noise frequencies within the frequency band can be determined based on the deviation curve information, that is, the decibel deviation values ​​of multiple noise frequencies within the frequency band are added. The sum of the decibel deviation values ​​of multiple noise frequencies within the obtained frequency band is multiplied by the preset coefficient to obtain the adjusted deviation sum value. Finally, the noise evaluation score of the vehicle to be tested in the frequency band can be obtained by subtracting the adjusted deviation sum value from the preset score. Different frequency bands can correspond to different preset coefficients, and the preset coefficients corresponding to the frequency bands can be obtained by statistics using prior knowledge, or can also be specifically set according to the actual application scenario.

[0084] Exemplarily, the noise evaluation score gga(x) of the first frequency band can be obtained according to the following formula (2):

[0085]

[0086] Where n1 is the preset coefficient corresponding to the first frequency band, and 100 is the preset score. It can be seen that the noise evaluation score obtained according to the above formula (2) is a percentage system.

[0087] Exemplarily, the noise evaluation score ggb(x) of the second frequency band can be obtained according to the following formula (3):

[0088]

[0089] Wherein n2 is the preset coefficient corresponding to the second frequency band.

[0090] The noise evaluation score ggc(x) of the third frequency band can be obtained according to the following formula (4):

[0091]

[0092] Wherein n3 is the preset coefficient corresponding to the third frequency band.

[0093] The noise evaluation score ggd(x) of the fourth frequency band can be obtained according to the following formula (5):

[0094]

[0095] Wherein n4 is the preset coefficient corresponding to the fourth frequency band.

[0096] The noise evaluation score gge(x) of the fifth frequency band can be obtained according to the following formula (6):

[0097]

[0098] Wherein n5 is the preset coefficient corresponding to the fifth frequency band.

[0099] Considering that there is a decibel threshold for the user's perception of sound, when the sound is low to a certain level, the user cannot perceive the sound, so the user's subjective score for vehicle noise will not decrease. Based on this consideration, when the decibel value of the noise frequency in the target noise curve is lower than the decibel value indicated by the reference noise curve information, the embodiment of the present disclosure determines that the noise evaluation score of the frequency band will not be increased.

[0100] In a specific implementation, the noise evaluation scores of the vehicle to be tested in multiple frequency bands are determined based on the deviation curve information, including: adjusting the decibel deviation value in the deviation curve information that is less than a preset deviation value to generate adjusted deviation curve information; based on the adjusted deviation curve information, the noise evaluation scores of the vehicle to be tested in multiple frequency bands are determined.

[0101] During implementation, after obtaining the deviation curve information, the decibel deviation value in the deviation curve information that is less than the preset deviation value may be adjusted to generate adjusted deviation curve information.

[0102] For example, the adjusted deviation curve information can be obtained by the following formula (7):

[0103]

[0104] Among them, the preset deviation value is set to 0.

[0105] Then, based on the adjusted deviation curve information, the noise evaluation scores of the vehicle to be tested in multiple frequency bands can be determined. That is, in specific implementation, gg(x) in the above formulas (2) to (6) can be replaced by gg(x)′.

[0106] Here, the decibel deviation value in the deviation curve information that is less than the preset deviation value is adjusted to generate adjusted deviation curve information, so that the noise evaluation score of each frequency band can be obtained more accurately by using the adjusted deviation curve information later.

[0107] For S103:

[0108] During implementation, the noise evaluation result of the vehicle to be tested can be generated according to the noise evaluation scores of the vehicle to be tested in multiple frequency bands. For example, if the noise evaluation score of the first frequency band is 90, the noise evaluation result of the vehicle to be tested generated can be that the road noise performance of the vehicle to be tested in the first frequency band is good. Alternatively, the noise evaluation scores of multiple frequency bands can be averaged to obtain an average score, and the noise evaluation result of the vehicle to be tested can be generated according to the average score. For example, the average score can be used as the noise evaluation result; or the noise evaluation result such as the excellent road noise performance of the vehicle to be tested can be generated according to the average score.

[0109] In an optional embodiment, generating a noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands includes: generating a first noise evaluation result of the vehicle to be tested based on the weights corresponding to the multiple frequency bands and the noise evaluation scores; wherein the first noise evaluation result is used to characterize the overall road noise performance of the vehicle to be tested, and the weight of the frequency band is determined based on the degree of influence of the noise in the frequency band after being perceived by the user, and / or the noise test component concerned by the test.

[0110] During specific implementation, the weight of the frequency band can be determined according to the degree of influence of the noise in the frequency band after being perceived by the user, and / or the noise test component of interest for the test. First, the process of determining the weight according to the degree of influence of the noise in the frequency band after being perceived by the user is explained. For example, since the low-frequency ear pressure road noise has the greatest impact on the user after being perceived by the user, the weight of the first frequency band can be set higher. For another example, the tire cavity sound road noise has a greater impact on the user after being perceived by the user, and the weight of the fourth frequency band can be set larger. For another example, the high-frequency road noise on the rough road section has a smaller impact on the user after being perceived by the user, so the weight of the fifth frequency band can be set smaller.

[0111] Secondly, an exemplary description is given of determining the weight of the frequency band according to the noise test component of interest in the test. According to prior knowledge, the first frequency band is related to the tailgate of the vehicle to be tested, so if the noise test component of interest in the test is the tailgate, the weight of the first frequency band can be set larger. If the noise test component of interest in the test is the tire, the weight of the fourth frequency band can be set larger, and so on.

[0112] When determining the weight of the frequency band based on the degree of influence of the noise in the frequency band after being perceived by the user and the noise test component that the test focuses on, the initial weight of each frequency band can be determined according to the degree of influence of the noise in the frequency band after being perceived by the user, and then the initial weight of one or more frequency bands can be adjusted using the noise test component that the test focuses on to obtain the weights corresponding to each frequency band.

[0113] Then, the weights corresponding to the multiple frequency bands can be used to perform weighted summation on the noise evaluation scores of the multiple frequency bands to obtain the road noise score of the vehicle to be tested. The first noise evaluation result of the vehicle to be tested is generated according to the road noise score. For example, the road noise score of the vehicle to be tested can be directly determined as the first noise evaluation result of the vehicle to be tested. Alternatively, the road noise score of the vehicle to be tested and the mapping relationship between the road noise score and the road noise performance level can be used to obtain the road noise performance level of the vehicle to be tested, and the road noise performance level is determined as the first noise evaluation result of the vehicle to be tested. Since the first noise evaluation result is obtained based on the weights and noise evaluation scores corresponding to the multiple frequency bands, it can be seen that the first noise evaluation result is used to characterize the overall road noise performance of the vehicle to be tested.

[0114] Here, a first noise evaluation result of the vehicle to be tested is generated based on the weights and noise evaluation scores corresponding to the multiple frequency bands, thereby achieving an evaluation of the overall road noise performance of the vehicle to be tested.

[0115] In another optional embodiment, the generating of the noise evaluation result of the vehicle to be tested based on the noise evaluation score of the vehicle to be tested in the multiple frequency bands includes: generating a second noise evaluation result of a local part of the vehicle to be tested according to the noise evaluation score of the vehicle to be tested in at least one of the frequency bands, wherein the local part of the vehicle to be tested is related to the noise causing the frequency band.

[0116] Since the noises of different frequency bands are generated by different local parts of the vehicle to be tested, there is a relationship between the frequency band and the local parts of the vehicle to be tested. Furthermore, after obtaining the noise evaluation scores corresponding to the multiple frequency bands, the second noise evaluation result of the local part of the vehicle to be tested can be generated according to the noise evaluation score of the vehicle to be tested in at least one frequency band. For example, the noise evaluation score of the frequency band can be directly used as the second noise evaluation result of the local part matching the frequency band; or based on the noise evaluation score of the frequency band, a second noise evaluation result for indicating the performance of the local part matching the frequency band can be generated.

[0117] During implementation, a second noise evaluation result of a local part of the vehicle to be tested that matches the frequency band can be generated based on the noise evaluation score of a frequency band. For example, since the noise of the first frequency band is related to the tailgate on the vehicle to be tested, a second noise evaluation result about the tailgate on the vehicle to be tested can be generated for the noise evaluation score of the first frequency band, and the second noise evaluation result can be the noise evaluation score of the first frequency band, that is, the second noise evaluation result can include: "The road noise performance of the tailgate is 90 points"; or the second noise evaluation result can also be the evaluation content generated based on the noise evaluation score of the first frequency band, that is, the second noise evaluation result can include: "The road noise performance of the tailgate is good" and so on. For another example, since the noise of the fourth frequency band is related to the tire cavity on the vehicle to be tested, a second noise evaluation result about the tire cavity on the vehicle to be tested can be generated for the noise evaluation score of the fourth frequency band, and so on.

[0118] During implementation, the second noise evaluation results of local parts of the vehicle to be tested that match the multiple frequency bands can also be generated based on the noise evaluation scores of the multiple frequency bands. For example, the second noise evaluation results of the tailgate and tire cavity of the vehicle to be tested can be generated based on the noise evaluation scores of the first frequency band and the fourth frequency band.

[0119] The second noise evaluation result of the embodiment of the present disclosure evaluates the road noise performance of the vehicle to be tested from the perspective of a local part of the vehicle to be tested, so as to more effectively highlight the problems existing in the vehicle to be tested.

[0120] Based on the same concept, a vehicle noise evaluation device corresponding to the vehicle noise evaluation method is also provided in the embodiment of the present disclosure. Since the principle of solving the problem by the device in the embodiment of the present disclosure is similar to the above-mentioned vehicle noise evaluation method in the embodiment of the present disclosure, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0121] Reference Figure 3 FIG. 3 is a schematic diagram of the structure of a vehicle noise evaluation device provided by an embodiment of the present disclosure, wherein the device comprises: an acquisition module 301, a determination module 302, and a generation module 303, wherein:

[0122] An acquisition module 301 is used to acquire target noise curve information of a vehicle to be tested traveling on a target road section, wherein the target noise curve information is used to indicate decibel values ​​of different noise frequencies;

[0123] A determination module 302 is used to determine the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section, wherein the reference noise curve information is generated using multiple candidate noise curve information, and the candidate noise curve is generated by the reference vehicle driving on the target road section;

[0124] The generating module 303 is used to generate a noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands.

[0125] In a possible implementation manner, the generating module 303, when generating the noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands, is used to:

[0126] Based on the weights corresponding to the multiple frequency bands and the noise evaluation scores, a first noise evaluation result of the vehicle to be tested is generated; wherein the first noise evaluation result is used to characterize the overall road noise performance of the vehicle to be tested, and the weight of the frequency band is determined based on the degree of influence of the noise in the frequency band after being perceived by the user, and / or the noise test component concerned by the test.

[0127] In a possible implementation manner, the generating module 303, when generating the noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands, is used to:

[0128] A second noise evaluation result of a local part of the vehicle to be tested is generated according to the noise evaluation score of the vehicle to be tested in at least one of the frequency bands, wherein the local part of the vehicle to be tested is related to the noise causing the frequency band.

[0129] In a possible implementation manner, the determination module 302, when determining the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section, is used to:

[0130] Based on the target noise curve information and the reference noise curve information, generating deviation curve information of the vehicle to be tested, the deviation curve information including decibel deviation values ​​at multiple noise frequencies;

[0131] Based on the deviation curve information, noise evaluation scores of the vehicle to be tested in multiple frequency bands are determined.

[0132] In a possible implementation manner, the determination module 302, when determining the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the deviation curve information, is used to:

[0133] For each of the frequency segments, determining a sum of decibel deviation values ​​of a plurality of noise frequencies within the frequency segment according to the deviation curve information;

[0134] Generate an adjusted deviation sum value based on a sum of decibel deviation values ​​of a plurality of noise frequencies within the frequency band and a preset coefficient;

[0135] Based on the preset score and the adjusted deviation and value, a noise evaluation score of the vehicle to be tested in the frequency band is generated.

[0136] In a possible implementation manner, the determination module 302, when determining the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the deviation curve information, is used to:

[0137] Adjusting the decibel deviation value in the deviation curve information that is less than the preset deviation value to generate adjusted deviation curve information;

[0138] Based on the adjusted deviation curve information, noise evaluation scores of the vehicle to be tested in multiple frequency bands are determined.

[0139] In a possible implementation manner, the determination module 302 is configured to determine the reference noise curve information corresponding to the target road section according to the following steps:

[0140] Acquire candidate noise curve information of a plurality of reference vehicles traveling on the target road section;

[0141] Averaging the decibel values ​​of the same noise frequency in the candidate noise curve information corresponding to the multiple reference vehicles, to generate average noise curve information corresponding to the target road section;

[0142] Based on the average noise curve information, reference noise curve information corresponding to the target road section is generated.

[0143] In one possible implementation, the multiple frequency segments include: a first frequency segment for evaluating low-frequency ear pressure road noise performance; a second frequency segment for evaluating mid- and low-frequency road noise performance; a third frequency segment for evaluating mid-frequency drum sound road noise performance; a fourth frequency segment for evaluating tire cavity sound road noise performance; and a fifth frequency segment for evaluating high-frequency road noise performance.

[0144] In some embodiments, the functions or templates contained in the device provided by the embodiments of the present disclosure can be used to execute the method described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0145] The description of the processing flow of each component in the device and the interaction flow between each component does not mean any limitation on the implementation process by strict processing flow and interaction flow. The processing flow and interaction flow of each component should be determined by its function and possible internal logic.

[0146] Based on the same technical concept, the embodiment of the present disclosure also provides a computer device. Figure 4 As shown, it is a schematic diagram of the structure of a computer device provided by an embodiment of the present disclosure, including a processor 401, a memory 402, and a bus 403. Among them, the memory 402 is used to store execution instructions, including a memory 4021 and an external memory 4022; the memory 4021 here is also called an internal memory, which is used to temporarily store the operation data in the processor 401, and the data exchanged with the external memory 4022 such as a hard disk. The processor 401 exchanges data with the external memory 4022 through the memory 4021. When the computer device 400 is running, the processor 401 communicates with the memory 402 through the bus 403, so that the processor 401 executes the following instructions:

[0147] Obtaining target noise curve information of the vehicle to be tested traveling on a target road section, wherein the target noise curve information is used to indicate decibel values ​​of different noise frequencies;

[0148] Determine the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section, wherein the reference noise curve information is generated using multiple candidate noise curve information, and the candidate noise curves are generated by the reference vehicle driving on the target road section;

[0149] A noise evaluation result of the vehicle to be tested is generated based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands.

[0150] In addition, the embodiment of the present disclosure further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the vehicle noise evaluation method described in the above method embodiment are executed. The storage medium can be a volatile or non-volatile computer-readable storage medium.

[0151] The embodiments of the present disclosure also provide a computer program product, including a computer program / instruction, which, when executed by a processor of the computer program / instruction, implements the vehicle noise evaluation method provided in the embodiments of the present disclosure.

[0152] The method in the embodiments of the present disclosure may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instruction is loaded and executed on a computer, the process or function described in the present application is executed in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, a network device, a user device, a core network device, an OAM or other programmable device.

[0153] The computer program or instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer program or instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired or wireless means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; it may also be an optical medium, such as a digital video disk; it may also be a semiconductor medium, such as a solid-state drive. The computer-readable storage medium may be a volatile or non-volatile storage medium, or may include both volatile and non-volatile types of storage media.

[0154] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A vehicle noise evaluation method, characterized in that: include: Obtaining target noise curve information of the vehicle to be tested traveling on a target road section, wherein the target noise curve information is used to indicate decibel values ​​of different noise frequencies; Determine the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section, wherein the reference noise curve information is generated using multiple candidate noise curve information, and the candidate noise curves are generated by the reference vehicle driving on the target road section; A noise evaluation result of the vehicle to be tested is generated based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands.

2. The method according to claim 1, characterized in that: The generating a noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands includes: Based on the weights corresponding to the multiple frequency bands and the noise evaluation scores, a first noise evaluation result of the vehicle to be tested is generated; wherein the first noise evaluation result is used to characterize the overall road noise performance of the vehicle to be tested, and the weight of the frequency band is determined based on the degree of influence of the noise in the frequency band after being perceived by the user, and / or the noise test component concerned by the test.

3. The method according to claim 1, characterized in that The generating a noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands includes: A second noise evaluation result of a local part of the vehicle to be tested is generated according to the noise evaluation score of the vehicle to be tested in at least one of the frequency bands, wherein the local part of the vehicle to be tested is related to the noise causing the frequency band.

4. The method according to claim 1, characterized in that: The step of determining the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section includes: Based on the target noise curve information and the reference noise curve information, generating deviation curve information of the vehicle to be tested, the deviation curve information including decibel deviation values ​​at multiple noise frequencies; Based on the deviation curve information, noise evaluation scores of the vehicle to be tested in multiple frequency bands are determined.

5. The method according to claim 4, characterized in that The step of determining the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the deviation curve information includes: For each of the frequency segments, determining a sum of decibel deviation values ​​of a plurality of noise frequencies within the frequency segment according to the deviation curve information; Generate an adjusted deviation sum value based on a sum of decibel deviation values ​​of a plurality of noise frequencies within the frequency band and a preset coefficient; Based on the preset score and the adjusted deviation and value, a noise evaluation score of the vehicle to be tested in the frequency band is generated.

6. The method according to claim 4 or 5, characterized in that: The step of determining the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the deviation curve information includes: Adjusting the decibel deviation value in the deviation curve information that is less than the preset deviation value to generate adjusted deviation curve information; Based on the adjusted deviation curve information, noise evaluation scores of the vehicle to be tested in multiple frequency bands are determined.

7. The method according to claim 1, characterized in that Determine the reference noise curve information corresponding to the target road section according to the following steps: Acquire candidate noise curve information of a plurality of reference vehicles traveling on the target road section; Averaging the decibel values ​​of the same noise frequency in the candidate noise curve information corresponding to the multiple reference vehicles, to generate average noise curve information corresponding to the target road section; Based on the average noise curve information, reference noise curve information corresponding to the target road section is generated.

8. The method according to claim 1, characterized in that The multiple frequency segments include: The first frequency band used to evaluate low-frequency ear pressure road noise performance; The second frequency band is used to evaluate the performance of mid- and low-frequency road noise; The third frequency band is used to evaluate the road noise performance of mid-frequency drum sounds; The fourth frequency band is used to evaluate tire cavity sound road noise performance; The fifth frequency band is used to evaluate high-frequency road noise performance.

9. A vehicle noise evaluation device, characterized in that: include: An acquisition module, used to acquire target noise curve information of a vehicle to be tested traveling on a target road section, wherein the target noise curve information is used to indicate decibel values ​​of different noise frequencies; A determination module, configured to determine the noise evaluation scores of the vehicle to be tested in multiple frequency bands based on the target noise curve information and the reference noise curve information corresponding to the target road section, wherein the reference noise curve information is generated using multiple candidate noise curve information, and the candidate noise curves are generated by the reference vehicle driving on the target road section; A generating module is used to generate a noise evaluation result of the vehicle to be tested based on the noise evaluation scores of the vehicle to be tested in the multiple frequency bands.

10. A computer device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the vehicle noise evaluation method according to any one of claims 1 to 8 are performed.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the vehicle noise evaluation method according to any one of claims 1 to 8 are executed.

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