New energy automobile electric drive assembly noise test method and system

Abstract

The invention is suitable for the technical field of noise testing, and particularly relates to a noise testing method and system for an electric drive assembly of a new energy automobile, and the method comprises the steps: constructing an electric drive noise testing platform, delimiting a testing region, drawing a traffic network distribution diagram in the testing region, marking all road sections, and collecting a live-action image of each road section. Generating environment data, wherein the environment data at least comprises road condition information, types and traffic flow; and through the test platform, obtaining the data reading authority of the test vehicle, selecting the deployment position of the pickup device at the electric drive assembly, collecting audio data, positioning the real-time position of the test vehicle, and passing through a preset timestamp. By generating the test report, the road section corresponding to the noise can be intuitively displayed, and the noise data and the road attribute are subjected to correlation analysis, so that the concentrated area of the abnormal noise is quickly identified, and the accuracy and readability of the noise test result are improved.

Description

Technical Field

[0001] The present invention relates to the field of noise testing technology, and in particular to a noise testing method and system for an electric drive assembly of a new energy vehicle. Background Art

[0002] The electric drive assembly is the core drive system of new energy vehicles, usually including components such as motors, reducers and inverters. In order to improve the overall comfort of new energy vehicles, the electric drive assembly is usually tested for noise during vehicle use to evaluate the noise performance during use.

[0003] In the existing technology, such tests are usually conducted on a test bench or bench environment in the laboratory. The test environment has good enclosure and load stability, which is conducive to controlling variables and obtaining highly repeatable data. However, due to the significant differences between the test environment and actual road driving conditions, such as factors such as uneven road surface, vehicle acceleration and deceleration, ambient temperature changes, and the coupling between the electric drive system and the vehicle structure, laboratory tests cannot fully reflect the impact of these dynamic changes on noise, resulting in a certain deviation between the obtained noise data and the noise generated during actual vehicle driving. This deviation makes it difficult to evaluate the noise of the electric drive assembly under actual operating conditions using laboratory test data.

[0004] Therefore, “how to perform noise testing on the electric drive assembly of road vehicles” is the technical problem that the present invention needs to solve. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for testing the noise of an electric drive assembly of a new energy vehicle, so as to solve the problem of "how to perform noise testing on the electric drive assembly of a road vehicle" raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions: A method for testing noise of an electric drive assembly of a new energy vehicle, the method comprising: Construct an electric drive noise test platform, delineate a test area, draw a traffic network distribution map within the test area, mark all road sections, collect real-life images of each road section, and generate environmental data, wherein the environmental data includes at least road condition information, type, and traffic volume; Obtaining data read permission from the test vehicle via the test platform, selecting the deployment location of the sound pickup device at the electric drive assembly, collecting audio data, locating the real-time location of the test vehicle, and establishing a correspondence between the audio data and the real-time location via a preset timestamp; Determine whether there is a sound source signal in the audio data. If so, traverse the road section corresponding to the sound source signal through the corresponding relationship and define it as the target road section. Intercept the audio data under the target road section to obtain a segment. When the speed of the test vehicle is 0, write the segment into a preset verification pop-up window and send it to the central control device of the test vehicle. Play the segment, receive the verification result uploaded by the user, integrate the segment, verification result and target road section, generate a test report, and synchronize the test report to the test platform.

[0007] Furthermore, the step of collecting the real scene image of each road section and generating environmental data includes: Using sensor equipment pre-deployed in the test vehicle, sensor data is collected to configure driving behaviors, wherein the driving behaviors include: sudden acceleration, sudden deceleration, and sudden steering; Establish a mapping between driving behaviors and segments.

[0008] Furthermore, the method further comprises: Based on the environmental data, a standard segment is selected from the road segment, and audio data corresponding to the standard segment is defined as feature data; The feature data are clustered into several categories and integrated to generate a feature set.

[0009] Furthermore, the step of obtaining data reading permission of the test vehicle via the test platform, selecting the deployment position of the sound pickup device at the electric drive assembly, and collecting audio data includes: Inserting an abnormal set consisting of a plurality of abnormal features into the feature set to determine whether the audio data contains abnormal features, wherein the abnormal features include at least: abnormal electromagnetic noise, bearing failure, and gear meshing abnormality; Edit emergency rules that correspond one-to-one to the abnormal features.

[0010] Furthermore, the step of intercepting the audio data of the target road section to obtain a segment includes: Integrate all pickup devices and build a pickup array; Record the recording time of different pickup devices and determine the approximate location of the clip.

[0011] Furthermore, the step of intercepting the audio data of the target road section to obtain a segment includes: Embedding a community module into the test platform and publishing the fragment into the community module; The comment data in the community module is read out, compared with the pre-built literal dictionary, a response strategy is generated, and the response strategy is pushed to the central control device.

[0012] Furthermore, the method further comprises: Traversing the correspondence and mapping, and calculating the number of segments corresponding to each environmental data and driving behavior; Based on the above quantity, risk factors are defined, driving recommendations are generated, and sent to the central control device.

[0013] Furthermore, the system includes: A generation module is used to build a test platform for electric drive noise, delineate a test area, draw a traffic network distribution map within the test area, mark all road sections, collect real-life images of each road section, and generate environmental data, wherein the environmental data includes at least road condition information, type, and traffic volume; An establishment module is used to obtain data reading permission of the test vehicle through the test platform, select the deployment position of the sound pickup device at the electric drive assembly, collect audio data, locate the real-time position of the test vehicle, and establish a correspondence between the audio data and the real-time position using a preset timestamp; The synchronization module is used to determine whether there is a sound source signal in the audio data. If so, through the corresponding relationship, the road section corresponding to the sound source signal is traversed and defined as the target section. The audio data under the target section is intercepted to obtain a segment. When the speed of the test vehicle is 0, the segment is written into a preset verification pop-up window and sent to the central control device of the test vehicle, the segment is played, the verification result uploaded by the user is received, the segment, verification result and target section are integrated, a test report is generated, and the test report is synchronized to the test platform.

[0014] Furthermore, the generation module includes: A configuration unit, configured to collect sensor data using sensor equipment pre-deployed in the test vehicle and configure driving behaviors, wherein the driving behaviors include: sudden acceleration, sudden deceleration, and sudden steering; A mapping unit is used to establish a mapping between driving behaviors and segments.

[0015] Furthermore, the establishment module includes: a judgment unit, configured to insert an abnormality set consisting of a plurality of abnormal features into the feature set, and judge whether the audio data contains abnormal features, wherein the abnormal features include at least abnormal electromagnetic noise, bearing failure, and gear meshing abnormality; The editing unit is used to edit emergency rules corresponding to the abnormal features one by one.

[0016] Compared with the prior art, the present invention has the following beneficial effects: By determining the road sections and corresponding environmental data, the representativeness and comprehensiveness of the test data can be improved, ensuring that the test vehicles can cover a variety of real driving scenarios and obtaining more comprehensive and realistic noise data. By deploying sound pickup equipment, the noise data of the test vehicles during driving can be accurately collected to assist in locating the noise source and improve the accuracy of noise testing in real scenarios. By pushing a verification pop-up window to the central control device, the noise data can be manually verified, further improving the efficiency of sound source signal recognition. By generating a test report, the road sections where noise is frequently generated can be intuitively displayed. By correlating and analyzing the noise data with road properties, concentrated areas of abnormal noise can be quickly identified, improving the accuracy and readability of the noise test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flowchart of a noise testing method for an electric drive assembly of a new energy vehicle provided by an embodiment of the present invention; Figure 2 A block diagram of the first sub-process of the method for testing noise of an electric drive assembly of a new energy vehicle provided by an embodiment of the present invention; Figure 3 A block diagram of the second sub-process of the method for testing noise of an electric drive assembly of a new energy vehicle provided by an embodiment of the present invention; Figure 4 A block diagram of the third sub-flow of the method for testing noise of an electric drive assembly of a new energy vehicle provided by an embodiment of the present invention; Figure 5 A block diagram of the noise testing system for electric drive assemblies of new energy vehicles provided by an embodiment of the present invention; Figure 6 A block diagram of the composition of the generation module in the new energy vehicle electric drive assembly noise test system provided by an embodiment of the present invention; Figure 7 A block diagram of the components of the establishment module in the new energy vehicle electric drive assembly noise test system provided by an embodiment of the present invention; Figure 8 This is a block diagram of the composition of the synchronization module in the new energy vehicle electric drive assembly noise test system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] In Example 1, Figure 1 The following is a detailed description of the noise testing method for the electric drive assembly of a new energy vehicle provided by an embodiment of the present invention. S100: Constructing an electric drive noise test platform, demarcating a test area, drawing a traffic road network distribution map within the test area, marking all road sections, collecting real-life images of each road section, and generating environmental data, wherein the environmental data includes at least: road condition information, type, and traffic volume.

[0020] A test platform is constructed, where the test platform is mainly used to process noise data and manage test reports, similar to the road test system in the existing technology; a test area is delineated, which can be an administrative area or a manually delineated area; traffic network information of the test area is collected from public data, and environmental data such as main roads, secondary roads, intersections, tunnels and bridges are identified; by labeling environmental data, not only can a detailed basis be provided for the correlation analysis between noise and the external environment, but it can also assist in road section classification, test condition division, abnormal condition screening and noise cause tracing, thereby improving the data analysis accuracy of the test platform.

[0021] Using traffic network information, draw a traffic network distribution map, and divide each road into several sections in the map, with traffic lights and important facilities as intervals. The advantage of doing this is that it can refine the granularity of noise testing and determine the degree of impact of road conditions on noise testing. Collect real-life images of each road section from map service providers or using the on-board camera of the test vehicle, and analyze the image content using image recognition and computer vision technology to extract key environmental data, including road condition information of the section (such as whether there are potholes, cracks, and wetness), road type (such as urban roads, highways, tunnels, bridges, and intersections, etc.), and traffic volume (through vehicle number statistics, speed estimation, etc.).

[0022] S200: Obtain data reading permission for the test vehicle via the test platform, select the deployment position of the sound pickup device at the electric drive assembly, collect audio data, locate the real-time position of the test vehicle, and establish a correspondence between the audio data and the real-time position via a preset timestamp.

[0023] In the test platform, drivers who are willing to participate in the electric drive assembly noise test are selected, and the corresponding vehicles are defined as test vehicles. The test vehicles should be new energy vehicles. Before the test, it is necessary to install a sound pickup device in the test vehicle and obtain data reading permission for the test vehicle. Furthermore, according to the structural layout of the electric drive system, it is preferred to install the sound pickup device near the main source of noise, where the sound pickup device can be a magnetic microphone or a stick-on sound pickup device. The specific installation location can be: near the motor housing, gearbox housing, one side of the inverter or around the drive axle. The installation location should avoid overlapping with high-frequency vibration sources or strong wind noise areas to reduce interference and improve the signal-to-noise ratio.

[0024] During actual deployment, the sound pickup equipment is installed in a location with a stable structure and a short propagation path to collect audio data from the test vehicle during driving, locate the real-time position of the test vehicle, and synchronize the real-time position with the collected audio data through a preset timestamp. The specific approach is: use high-precision GPS to record the latitude and longitude coordinates of the vehicle in the test area in real time, and at the same time bind a timestamp in a unified format to each sound pickup device, align the real-time position with the audio data, and thus establish a one-to-one correspondence in time sequence.

[0025] S300: Determine whether there is a sound source signal in the audio data. If so, traverse the road section corresponding to the sound source signal through the corresponding relationship and define it as a target road section. Intercept the audio data under the target road section to obtain a segment. When the speed of the test vehicle is 0, write the segment into a preset verification pop-up window and send it to the central control device of the test vehicle. Play the segment, receive the verification result uploaded by the user, integrate the segment, verification result and target road section, generate a test report, and synchronize the test report to the test platform. It should be noted that in this application, the user refers to the driver of the test vehicle.

[0026] The audio data is processed using spectrum analysis, short-time Fourier transform, or a deep learning-based sound source identification algorithm to detect the presence of characteristic sound source signals (such as howling, electromagnetic noise, structural resonance, or rupture). If a sound source signal is identified, the road section where the vehicle was located when the sound source signal was generated is determined based on the corresponding relationship and defined as the target section. The audio data generated in the target section is defined as a segment.

[0027] When the test vehicle's speed is detected to be 0, that is, the test vehicle is stationary, the noise fragment previously identified and intercepted is written into a preset verification pop-up window and sent to the test vehicle's central control device through the on-board communication module; after the central control device receives the fragment, it immediately plays the corresponding audio, allowing the test vehicle's driver to perform subjective auditory verification (whether noise is heard) when the vehicle is stationary and safe; in addition, the test vehicle's driver can also provide feedback on the specific noise perception through the verification pop-up window, upload the test vehicle driver's subjective auditory verification and noise perception to the test platform, obtain the verification result, write the fragment, verification result and target road section into the preset template, generate a test report, and synchronize it to the test platform.

[0028] Professionals in the test platform query verification results and clips, extract characteristic signals from the corresponding audio data, determine the specific noise type, and develop specific noise treatment methods based on the environmental data and actual experience of the target road section.

[0029] In Example 2, Figure 2The implementation process of the noise testing method for the electric drive assembly of a new energy vehicle provided by an embodiment of the present invention is shown. The steps of collecting the real-scene image of each road section and generating environmental data are described in detail below: S101: Utilizing sensor equipment pre-deployed in a test vehicle, sensor data is collected to configure driving behaviors, wherein the driving behaviors include: sudden acceleration, sudden deceleration, and sudden steering.

[0030] In the test platform, sensor equipment pre-deployed in the test vehicle, such as accelerometers, gyroscopes, steering wheel angle sensors, throttle / brake pedal position sensors, etc., is used to collect dynamic sensor data of the test vehicle in real time. Based on the changing trends of the sensor data, specific driving behaviors are configured, including sudden acceleration, sudden deceleration, and sudden steering.

[0031] S102: Establish a mapping between driving behaviors and segments.

[0032] From the audio data, we read out the fragments of each driving behavior and establish a mapping. The benefit of doing this is to capture the environmental data that is most likely to excite abnormal noise, thereby improving the accuracy of sound source identification.

[0033] In Example 3, Figure 3 The implementation process of the electric drive assembly noise testing method for new energy vehicles provided by an embodiment of the present invention is shown. The following details the steps of obtaining data read permission for the test vehicle via the test platform, selecting the deployment position of the sound pickup device on the electric drive assembly, and collecting audio data. S201: inserting an abnormal set consisting of several abnormal features into the feature set to determine whether the audio data contains abnormal features, wherein the abnormal features at least include: abnormal electromagnetic noise, bearing failure, and gear meshing abnormality.

[0034] Create an anomaly set consisting of abnormal features and integrate this anomaly set into the feature set; the anomaly set can be obtained through historical test data, laboratory simulation tests or driver annotations, covering typical fault noise characteristics; among them, abnormal features include electromagnetic abnormal noise (such as stator eccentricity, periodic howling caused by electromagnetic force fluctuations), bearing faults (such as impact-type high-frequency noise caused by rolling element damage), gear meshing abnormalities (such as meshing periodic vibration sound caused by tooth surface wear or poor meshing), etc. These abnormal features usually have specific frequency domain, time domain or envelope spectrum characteristics.

[0035] S202: Edit emergency rules corresponding to the abnormal features one by one.

[0036] When there are abnormal features in the audio data, the corresponding emergency rules are activated, where the emergency rules are: triggering an alarm sound to remind the driver to stop immediately.

[0037] In Example 4, Figure 4 The implementation process of the noise testing method for the electric drive assembly of a new energy vehicle provided by an embodiment of the present invention is shown. The steps of intercepting the audio data of the target road section and obtaining the fragments are described in detail as follows: S301: Integrate all sound pickup devices and build a sound pickup array.

[0038] Integrate all the sound pickup devices deployed in the test vehicle to build a sound pickup array; a sound pickup array refers to a collection of multiple sound pickup devices deployed in a preset geometric layout (such as a linear array, a planar array, or a circular array). The sound pickup array should cover the key areas of the electric drive assembly, including the motor, gearbox, inverter, and its surrounding structures. The advantage of doing this is that it can achieve sound source localization, enhance the sound signal in the target direction, and suppress noise interference from other directions, thereby obtaining clearer and more stable audio data.

[0039] S302: Record the sound pickup time of different sound pickup devices and determine the approximate location where the clip was generated.

[0040] Since the sound pickup devices are distributed in different positions on the test vehicle according to the sound pickup array, there will be slight differences in the time when each sound pickup device receives the audio data. Based on these time differences, the time difference positioning algorithm in the existing technology is applied to calculate the relative distance from the sound source to each sound pickup device. Combined with the known spatial coordinates of the sound pickup devices, the approximate location where the audio data was generated is inferred.

[0041] In Example 5, Figure 4 The implementation process of the noise testing method for the electric drive assembly of a new energy vehicle provided by an embodiment of the present invention is shown. The steps of intercepting the audio data of the target road section and obtaining the fragments are described in detail as follows: S303: Embed a community module into the test platform, and publish the fragment to the community module.

[0042] A community module is embedded in the test platform, and the detected fragments are published to the community module. The community module serves as an interactive and knowledge sharing space within the platform, supporting test engineers, acoustic experts, and ordinary users to centrally browse, evaluate, comment, and label the fragments.

[0043] S304: Read the comment data in the community module, compare it with the pre-built literal dictionary, generate a response strategy, and push the response strategy to the central control device.

[0044] Using natural language processing technology, the content words in the comment data are extracted, where the content words are words with actual meaning. The content words are compared with the pre-built content dictionary, which contains a large number of phrases related to noise types, fault characteristics, user experience and recommended measures; the content words are grouped according to their meanings. For example, words such as "harsh", "metal friction feeling" and "motor whistling" are classified as high-risk sound source groups, and words such as "recommended to adjust gear meshing" and "reducing electromagnetic excitation frequency" are matched into response strategy groups. The response strategy is the method of handling the fault corresponding to different content words; in actual operation, after the clip is released, the response strategy corresponding to the content words in the comment data is read, and the response strategy is pushed to the central control device to provide a reference for the driver to make adjustments.

[0045] In Example 6, different from Example 1, in this embodiment of the present invention, the method further includes: Based on the environmental data, a standard segment is selected from the road segment, and audio data corresponding to the standard segment is defined as feature data; The feature data are clustered into several categories and integrated to generate a feature set.

[0046] A standard section is a typical road environment, such as a straight and dry urban road, a highway section with low traffic volume, a short uphill slope or a long uphill slope. Such sections are defined as standard sections. When the test vehicle is in the standard section, the audio data of the electric drive assembly is defined as feature data. The feature data is classified according to category, integrated and stored to obtain a feature set; for example, the feature data is divided into: smooth road category, bumpy road category and long uphill road category. Each category represents a typical noise pattern or sound source type. The advantage of this is that it facilitates subsequent noise identification, model training, anomaly detection or sound source information comparison.

[0047] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes: Traversing the correspondence and mapping, and calculating the number of segments corresponding to each environmental data and driving behavior; Based on the above quantity, risk factors are defined, driving recommendations are generated, and sent to the central control device.

[0048] The number of fragments under each type of environmental data and driving behavior is counted. The larger the number, the more likely the environment or driving behavior is to trigger the electric drive assembly to generate noise. When the number is greater than the threshold, the corresponding environmental data and driving behavior are defined as risk factors. Using this risk factor, driving suggestions are generated and sent to the central control device.

[0049] For example, the electric drive assembly of a new energy vehicle recorded a total of 420 audio data segments on an uphill road, which is much higher than the downhill (170 segments) and flat roads (230 segments). The risk factor is the uphill section. By analyzing the audio data, it was determined that the motor output power increased and a more obvious electromagnetic howling sound appeared. The corresponding driving recommendation is: try to avoid sudden acceleration or deep pressing of the accelerator when going uphill, and adopt a smooth linear acceleration method.

[0050] Figure 5 The following is a structural block diagram of a new energy vehicle electric drive assembly noise test system according to an embodiment of the present invention. The new energy vehicle electric drive assembly noise test system 1 includes: A generation module 11 is configured to construct a test platform for electric drive noise, delineate a test area, draw a traffic network map within the test area, mark all road sections, collect real-world images of each road section, and generate environmental data, wherein the environmental data includes at least road condition information, type, and traffic volume; Establishing module 12, for obtaining data reading permission of the test vehicle via the test platform, selecting the deployment position of the sound pickup device at the electric drive assembly, collecting audio data, locating the real-time position of the test vehicle, and establishing a correspondence between the audio data and the real-time position using a preset timestamp; The synchronization module 13 is used to determine whether there is a sound source signal in the audio data. If so, through the corresponding relationship, the road section corresponding to the sound source signal is traversed and defined as the target road section. The audio data under the target road section is intercepted to obtain a segment. When the speed of the test vehicle is 0, the segment is written into a preset verification pop-up window and sent to the central control device of the test vehicle, the segment is played, the verification result uploaded by the user is received, the segment, verification result and target road section are integrated, a test report is generated, and the test report is synchronized to the test platform.

[0051] Figure 6 The following is a structural block diagram of a noise test system for an electric drive assembly of a new energy vehicle provided by an embodiment of the present invention. The generating module 11 includes: The configuration unit 111 is configured to collect sensor data using sensor equipment pre-deployed in the test vehicle and configure driving behaviors, wherein the driving behaviors include: sudden acceleration, sudden deceleration, and sudden steering; The mapping unit 112 is configured to establish a mapping between driving behaviors and segments.

[0052] Figure 7 The following is a structural block diagram of a noise test system for an electric drive assembly of a new energy vehicle provided by an embodiment of the present invention. The establishment module 12 includes: A judging unit 121 is configured to insert an abnormality set consisting of a plurality of abnormal features into the feature set to judge whether the audio data contains abnormal features, wherein the abnormal features include at least abnormal electromagnetic noise, bearing failure, and gear meshing abnormality; The editing unit 122 is used to edit emergency rules corresponding to the abnormal features.

[0053] Figure 8 The following is a structural block diagram of a noise test system for an electric drive assembly of a new energy vehicle provided by an embodiment of the present invention. The synchronization module 13 includes: An integration unit 131 is used to integrate all sound pickup devices to construct a sound pickup array; The determination unit 132 is used to record the sound pickup time of different sound pickup devices and determine the approximate location of the segment; Publishing unit 133, used to embed the community module into the test platform and publish the fragment to the community module The push unit 134 is used to read the comment data in the community module, compare it with the pre-built literal dictionary, generate a response strategy, and push the response strategy to the central control device.

[0054] The generation module 11 is mainly used to complete step S100, the establishment module 12 is mainly used to complete step S200, and the synchronization module 13 is mainly used to complete step S300; The configuration unit 111 is mainly used to complete step S101, and the mapping unit 112 is mainly used to complete step S102; The judging unit 121 is mainly used to complete step S201, and the editing unit 122 is mainly used to complete step S202; The integration unit 131 is mainly used to complete step S301, the determination unit 132 is mainly used to complete step S302, the publishing unit 133 is mainly used to complete step S303, and the pushing unit 134 is mainly used to complete step S304.

[0055] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0056] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0057] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A new energy vehicle electric drive assembly noise testing method, characterized in that: The method comprises: Construct an electric drive noise test platform, delineate a test area, draw a traffic network distribution map within the test area, mark all road sections, collect real-life images of each road section, and generate environmental data, wherein the environmental data includes at least road condition information, type, and traffic volume; Obtaining data read permission from the test vehicle via the test platform, selecting the deployment location of the sound pickup device at the electric drive assembly, collecting audio data, locating the real-time location of the test vehicle, and establishing a correspondence between the audio data and the real-time location via a preset timestamp; Determine whether there is a sound source signal in the audio data. If so, traverse the road section corresponding to the sound source signal through the corresponding relationship and define it as the target road section. Intercept the audio data under the target road section to obtain a segment. When the speed of the test vehicle is 0, write the segment into a preset verification pop-up window and send it to the central control device of the test vehicle. Play the segment, receive the verification result uploaded by the user, integrate the segment, verification result and target road section, generate a test report, and synchronize the test report to the test platform.

2. The noise testing method for electric drive assembly of new energy vehicle according to claim 1, characterized in that: The step of collecting the real scene image of each road section and generating environmental data includes: Using sensor equipment pre-deployed in the test vehicle, sensor data is collected to configure driving behaviors, wherein the driving behaviors include: sudden acceleration, sudden deceleration, and sudden steering; Establish a mapping between driving behaviors and segments.

3. The noise testing method for electric drive assembly of new energy vehicle according to claim 1, characterized in that: The method further comprises: Based on the environmental data, a standard segment is selected from the road segment, and audio data corresponding to the standard segment is defined as feature data; The feature data are clustered into several categories and integrated to generate a feature set.

4. The noise testing method for electric drive assembly of new energy vehicle according to claim 3, characterized in that: The steps of obtaining data reading permission of the test vehicle via the test platform, selecting the deployment position of the sound pickup device at the electric drive assembly, and collecting audio data include: Inserting an abnormal set consisting of a plurality of abnormal features into the feature set to determine whether the audio data contains abnormal features, wherein the abnormal features include at least: abnormal electromagnetic noise, bearing failure, and gear meshing abnormality; Edit emergency rules that correspond one-to-one to the abnormal features.

5. The noise testing method for electric drive assembly of new energy vehicle according to claim 1, characterized in that: The step of intercepting the audio data of the target road section to obtain a segment includes: Integrate all pickup devices and build a pickup array; Record the recording time of different pickup devices and determine the approximate location of the clip.

6. The noise testing method for electric drive assembly of new energy vehicle according to claim 1, characterized in that: The step of intercepting the audio data of the target road section to obtain a segment includes: Embedding a community module into the test platform and publishing the fragment into the community module; The comment data in the community module is read out, compared with the pre-built literal dictionary, a response strategy is generated, and the response strategy is pushed to the central control device.

7. The noise testing method for electric drive assembly of new energy vehicle according to claim 2, characterized in that: The method further comprises: Traversing the correspondence and mapping, and calculating the number of segments corresponding to each environmental data and driving behavior; Based on the above quantity, risk factors are defined, driving recommendations are generated, and sent to the central control device.

8. A new energy vehicle electric drive assembly noise test system, characterized in that: The system comprises: A generation module is used to build a test platform for electric drive noise, delineate a test area, draw a traffic network distribution map within the test area, mark all road sections, collect real-life images of each road section, and generate environmental data, wherein the environmental data includes at least road condition information, type, and traffic volume; An establishment module is used to obtain data reading permission of the test vehicle through the test platform, select the deployment position of the sound pickup device at the electric drive assembly, collect audio data, locate the real-time position of the test vehicle, and establish a correspondence between the audio data and the real-time position using a preset timestamp; The synchronization module is used to determine whether there is a sound source signal in the audio data. If so, through the corresponding relationship, the road section corresponding to the sound source signal is traversed and defined as the target section. The audio data under the target section is intercepted to obtain a segment. When the speed of the test vehicle is 0, the segment is written into a preset verification pop-up window and sent to the central control device of the test vehicle, the segment is played, the verification result uploaded by the user is received, the segment, verification result and target section are integrated, a test report is generated, and the test report is synchronized to the test platform.

9. The new energy vehicle electric drive assembly noise testing system according to claim 8, characterized in that: The generation module includes: A configuration unit, configured to collect sensor data using sensor equipment pre-deployed in the test vehicle and configure driving behaviors, wherein the driving behaviors include: sudden acceleration, sudden deceleration, and sudden steering; A mapping unit is used to establish a mapping between driving behaviors and segments.

10. The new energy vehicle electric drive assembly noise testing system according to claim 9, characterized in that: The establishment module includes: a judgment unit, configured to insert an abnormality set consisting of a plurality of abnormal features into the feature set, and judge whether the audio data contains abnormal features, wherein the abnormal features include at least abnormal electromagnetic noise, bearing failure, and gear meshing abnormality; The editing unit is used to edit emergency rules corresponding to the abnormal features one by one.

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