Vehicle water pump noise evaluation method and device, vehicle and storage medium
By combining objective testing with subjective evaluation, a water pump noise evaluation method has been developed, which addresses the lack of water pump noise evaluation in new energy vehicles and enables accurate assessment and optimization guidance for water pump noise.
Patent Information
- Application Number
- CN202511723096.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-21
- Publication Date
- 2026-02-13
AI Technical Summary
The lack of a unified and effective method for evaluating water pump noise in new energy vehicles makes it difficult to accurately predict and assess water pump noise performance in the early stages of vehicle development, thus affecting user auditory comfort.
By combining objective testing and subjective evaluation, pump operating noise and speed signals are collected, order analysis is performed, and a mapping relationship between order noise difference and subjective score is established to obtain pump noise evaluation results.
A systematic method for evaluating water pump noise is provided, which can accurately assess the noise level of water pumps, guide subsequent optimization, and improve user experience.
Smart Images
Figure CN121521498A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vehicle technology, and in particular to a method, apparatus, vehicle, and storage medium for evaluating vehicle water pump noise. Background Technology
[0002] With the rapid development of new energy vehicles, users are paying increasing attention to the overall NVH (Noise, Vibration, Harshness) performance of vehicles. In new energy vehicles, the elimination of the traditional internal combustion engine means the loss of the engine's masking effect on the noise of other components, making the noise from auxiliary systems, which was previously masked, particularly prominent. Among these, the electric water pump, as a core component of the thermal management system, generates noise and vibration during operation that enters the passenger compartment through structural transmission and airborne propagation, directly impacting the user's auditory comfort.
[0003] Currently, there is a lack of unified and effective standard methods for evaluating the noise of water pumps in new energy vehicles. In the early stages of vehicle development, the absence of a mature evaluation system makes it difficult to accurately predict and assess the noise performance of water pumps, resulting in the inability to effectively address subsequent water pump noise issues. Summary of the Invention
[0004] This application provides a method, device, vehicle, and storage medium for evaluating vehicle water pump noise. By combining objective testing with subjective evaluation, it fills the gap in the evaluation method for water pump noise of new energy vehicles and provides a target basis for subsequent optimization of water pump noise.
[0005] The first aspect of this application provides a method for evaluating vehicle water pump noise, comprising the following steps: The water pump noise of the target vehicle was tested, and the noise and speed signals of the water pump during operation were collected. Based on the rotational speed signal, the noise signal is analyzed by order to obtain the total noise value and multiple order noise values at multiple rotational speeds. The maximum value among all order noise values at each rotational speed is calculated to obtain the order noise envelope. The order noise difference curve is obtained based on the difference between the order noise envelope and the total noise value at the corresponding speed. The system obtains the user's subjective rating of the in-vehicle noise, generates a subjective rating curve, establishes a subjective-objective mapping relationship based on the order noise difference curve and the subjective rating curve, and obtains the water pump noise evaluation result of the target vehicle based on the subjective-objective mapping relationship.
[0006] According to one embodiment of this application, establishing a subjective-objective mapping relationship based on the order noise difference curve and the subjective rating curve includes: Based on each rotational speed, the order noise difference curve is aligned with the subjective scoring curve; Extract the order noise difference and subjective score at the same speed to obtain multiple sets of data pairs; Collect data pairs at all speeds and generate a two-dimensional scatter plot of order noise difference - subjective score based on the data at all speeds; The data points in the two-dimensional scatter plot of the order noise difference-subjective rating value are fitted with a function to obtain the order noise difference-subjective rating value mapping curve, and the subjective-objective mapping relationship is obtained based on the order noise difference-subjective rating value mapping curve.
[0007] According to one embodiment of this application, the step of performing a water pump noise test on the target vehicle and collecting noise and speed signals during water pump operation includes: An external water pump drive device is used to provide the target operating voltage to the water pump of the target vehicle, and the speed of the water pump is controlled to linearly increase from a first speed to a second speed based on a preset speed-up program; During the process of controlling the water pump speed to linearly increase from a first speed to a second speed, the noise signal is collected using a preset acoustic sensing component, and the water pump speed signal is collected using a preset speed sensing component.
[0008] According to one embodiment of this application, the step of performing order analysis on the noise signal based on the rotational speed signal to obtain the total noise value at multiple rotational speeds includes: The rotational speed signal is resampled at equal angles to obtain the resampled angular domain signal; Based on the resampled angular domain signal, the noise signal is subjected to order tracking analysis to calculate the noise spectrum at a preset frequency resolution. The energy of all frequency bands in the noise spectrum is superimposed using A-weighting to obtain the total noise value at the corresponding rotational speed.
[0009] According to one embodiment of this application, obtaining the water pump noise evaluation result of the target vehicle based on the subjective-objective mapping relationship includes: Extract the target order noise difference value for the target speed range from the order noise difference curve; The target order noise difference is input into the subjective-objective mapping relationship to obtain the predicted subjective score value; The predicted subjective score is compared with the preset evaluation level threshold, and the water pump noise evaluation result of the target vehicle is obtained based on the comparison result. The evaluation level threshold is divided based on the user acceptance corresponding to different score intervals in the subjective rating curve.
[0010] According to the vehicle water pump noise evaluation method provided in this application embodiment, water pump noise is tested on the target vehicle, and order analysis is performed on the noise signal based on the rotational speed signal to obtain the total noise value and multiple order noise values at multiple rotational speeds. The maximum value among all order noise values at each rotational speed is calculated to obtain the order noise envelope. An order noise difference curve is obtained based on the difference between the order noise envelope and the total noise value at the corresponding rotational speed. A subjective-objective mapping relationship is established based on the order noise difference curve and the subjective scoring curve, and the water pump noise evaluation result of the target vehicle is obtained based on this mapping relationship. Therefore, by combining objective testing with subjective evaluation, the lack of a comprehensive water pump noise evaluation method for new energy vehicles is compensated for, providing a target basis for subsequent optimization of water pump noise.
[0011] A second aspect of this application provides a device for evaluating vehicle water pump noise, comprising: The data acquisition module is used to test the water pump noise of the target vehicle and to collect noise and speed signals during the operation of the water pump. The calculation module is used to perform order analysis on the noise signal based on the rotation speed signal, obtain the total noise value and multiple order noise values at multiple rotation speeds, and calculate the maximum value among all order noise values at each rotation speed to obtain the order noise envelope. The processing module is used to obtain the order noise difference curve based on the difference between the order noise envelope and the total noise value at the corresponding speed. The evaluation module is used to obtain the user's subjective rating of the in-vehicle noise, obtain the subjective rating curve, establish a subjective-objective mapping relationship based on the order noise difference curve and the subjective rating curve, and obtain the water pump noise evaluation result of the target vehicle based on the subjective-objective mapping relationship.
[0012] According to one embodiment of this application, the evaluation module is used for: Based on each rotational speed, the order noise difference curve is aligned with the subjective scoring curve; Extract the order noise difference and subjective score at the same speed to obtain multiple sets of data pairs; Collect data pairs at all speeds and generate a two-dimensional scatter plot of order noise difference - subjective score based on the data at all speeds; The data points in the two-dimensional scatter plot of the order noise difference-subjective rating value are fitted with a function to obtain the order noise difference-subjective rating value mapping curve, and the subjective-objective mapping relationship is obtained based on the order noise difference-subjective rating value mapping curve.
[0013] According to one embodiment of this application, the acquisition module is used for: An external water pump drive device is used to provide the target operating voltage to the water pump of the target vehicle, and the speed of the water pump is controlled to linearly increase from a first speed to a second speed based on a preset speed-up program; During the process of controlling the water pump speed to linearly increase from a first speed to a second speed, the noise signal is collected using a preset acoustic sensing component, and the water pump speed signal is collected using a preset speed sensing component.
[0014] According to one embodiment of this application, the computing module is used for: The rotational speed signal is resampled at equal angles to obtain the resampled angular domain signal; Based on the resampled angular domain signal, the noise signal is subjected to order tracking analysis to calculate the noise spectrum at a preset frequency resolution. The energy of all frequency bands in the noise spectrum is superimposed using A-weighting to obtain the total noise value at the corresponding rotational speed.
[0015] According to one embodiment of this application, the evaluation module is used for: Extract the target order noise difference value for the target speed range from the order noise difference curve; The target order noise difference is input into the subjective-objective mapping relationship to obtain the predicted subjective score value; The predicted subjective score is compared with the preset evaluation level threshold, and the water pump noise evaluation result of the target vehicle is obtained based on the comparison result. The evaluation level threshold is divided based on the user acceptance corresponding to different score intervals in the subjective rating curve.
[0016] According to the vehicle water pump noise evaluation device provided in this application embodiment, water pump noise is tested on a target vehicle, and order analysis is performed on the noise signal based on the rotational speed signal to obtain the total noise value and multiple order noise values at multiple rotational speeds. The maximum value among all order noise values at each rotational speed is calculated to obtain the order noise envelope. An order noise difference curve is obtained based on the difference between the order noise envelope and the total noise value at the corresponding rotational speed. A subjective-objective mapping relationship is established based on the order noise difference curve and the subjective scoring curve, and the water pump noise evaluation result of the target vehicle is obtained based on this mapping relationship. Therefore, by combining objective testing with subjective evaluation, the lack of a comprehensive water pump noise evaluation method for new energy vehicles is compensated for, providing a target basis for subsequent optimization of water pump noise.
[0017] A third aspect of this application provides a vehicle, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle water pump noise evaluation method as described in the above embodiments.
[0018] A fourth aspect of this application provides a computer-readable storage medium storing computer instructions for causing the computer to perform the vehicle water pump noise evaluation method as described in the above embodiments.
[0019] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description
[0020] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of a method for evaluating vehicle water pump noise according to an embodiment of this application; Figure 2 This is a schematic diagram showing the arrangement of noise measurement points according to an embodiment of this application; Figure 3 This is a graph showing the total noise values at multiple rotational speeds according to an embodiment of this application; Figure 4 This is an envelope diagram of the maximum order noise of a water pump according to an embodiment of this application; Figure 5 This is a graph showing the difference between order noise and total noise according to an embodiment of this application. Figure 6 This is a schematic diagram illustrating subjective evaluation scores for different water pump speeds according to an embodiment of this application; Figure 7 This is a diagram showing the correspondence between subjective evaluations and objective data according to an embodiment of this application; Figure 8 A block diagram of a vehicle water pump noise evaluation device according to an embodiment of this application; Figure 9 This is a schematic diagram of the vehicle structure provided in an embodiment of this application. Detailed Implementation
[0021] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.
[0022] The following description, with reference to the accompanying drawings, outlines a method, apparatus, vehicle, and storage medium for evaluating vehicle water pump noise according to embodiments of this application. This invention analyzes vehicle water pump noise data, proposes a dimensional judgment of the difference between order noise and total noise, and correlates this difference with subjective evaluation results, ultimately forming a complete water pump noise evaluation method. This method not only evaluates the acceptability of water pump noise in new energy vehicles but also, through data analysis results, clarifies the direction and specific measures for subsequent improvements to water pump noise quality.
[0023] Specifically, Figure 1 This is a flowchart illustrating a method for evaluating vehicle water pump noise provided in an embodiment of this application.
[0024] like Figure 1 As shown, the evaluation method for the vehicle's water pump noise includes the following steps: In step S101, a water pump noise test is performed on the target vehicle, and noise and speed signals during water pump operation are collected.
[0025] Furthermore, in some embodiments, a water pump noise test is performed on the target vehicle, and noise signals and speed signals during the operation of the water pump are collected, including: providing a target operating voltage to the water pump of the target vehicle using an external water pump drive device, and controlling the speed of the water pump to linearly increase from a first speed to a second speed based on a preset speed-up program; during the process of controlling the speed of the water pump to linearly increase from the first speed to the second speed, noise signals are collected using a preset acoustic sensing component, and the speed signal of the water pump is collected using a preset speed sensing component.
[0026] Specifically, in this application embodiment, the test site for testing the water pump noise of the target vehicle can be a semi-anechoic chamber with a background noise level not exceeding 25 dB(A). The instruments and equipment in this application embodiment may include noise testing equipment, data acquisition equipment, a test computer, water pump drive equipment, and water pump speed testing equipment.
[0027] The noise testing equipment can be a sound sensor, requiring it to collect sound test frequencies of at least 20 Hz to 20 kHz. The data acquisition equipment must convert the sound signals collected by the sound sensor into sound files and save them, requiring an A / D conversion resolution of at least 24 bits and a data sampling capability of at least 20 kHz. The test computer is connected to the data acquisition equipment via a network cable to control the data acquisition equipment for noise acquisition and storage. The water pump drive equipment provides power and control signals to the water pump, driving it to operate at different speeds. The water pump speed testing equipment is used to collect water pump speed information.
[0028] Furthermore, the target vehicle in this application embodiment can be a new energy prototype vehicle, and the prototype vehicle's water pump can be driven by an external water pump drive device.
[0029] For example, such as Figure 2 As shown, the noise measurement point in this embodiment can be located on the right ear side of the left front seat of the vehicle. The vertical distance of the noise measurement point from the seat surface is (0.7±0.05) m, and the horizontal distance from the center surface of the seat is (0.2±0.02) m.
[0030] Furthermore, during the water pump noise test on the target vehicle, the vehicle is stationary with doors, windows, and other electrical appliances closed. The water pump is externally driven using a water pump drive device to ensure the voltage across the pump is at its rated voltage. The pump speed is controlled to increase uniformly from the lowest stable speed to the highest stable speed over a period of at least 150 seconds. Water pump noise and speed signals are collected during this speed increase process. Optionally, in this embodiment, a sound sensor can be used to collect noise signals at a sampling frequency of at least 20,000 Hz, and a speed sensor can be used to collect signals at a sampling frequency of at least 200 Hz.
[0031] In step S102, the noise signal is analyzed based on the rotation speed signal to obtain the total noise value and multiple order noise values at multiple rotation speeds, and the maximum value among all order noise values at each rotation speed is calculated to obtain the order noise envelope.
[0032] Furthermore, in some embodiments, order analysis is performed on the noise signal based on the rotation speed signal to obtain the total noise value at multiple rotation speeds, including: resampling the rotation speed signal at equal angles to obtain the resampled angular domain signal; performing order tracking analysis on the noise signal based on the resampled angular domain signal, calculating the noise spectrum at a preset frequency resolution, and performing A-weighted superposition of the energy of all frequency bands in the noise spectrum to obtain the total noise value at the corresponding rotation speed.
[0033] In step S103, the order noise difference curve is obtained based on the difference between the order noise envelope and the total noise value at the corresponding speed.
[0034] Specifically, the noise data analysis frequency in this application embodiment can be 1Hz, such as... Figure 3 As shown, the total noise and order noise of the water pump during the pump speed-up process are calculated using test analysis software, with the curves showing the changes in pump speed from low to high, in dB(A).
[0035] In detail, the rotational speed signal is resampled at equal angles to convert the time-domain noise signal into an angular-domain signal synchronized with the pump's rotation angle, thereby eliminating the frequency ambiguity effect caused by rotational speed changes in the spectral analysis. A Fast Fourier Transform (FFT) is then performed on the resampled angular-domain noise signal to calculate the order spectrum. On this spectrum, noise related to the pump's fundamental frequency and its harmonics (such as blade frequency and bearing passing frequency) will appear as a clear, diagonal line that varies with rotational speed; this is the order noise.
[0036] After obtaining the order spectrum, the total noise value is calculated. Within each small speed range (e.g., every 1 Hz or every 10 rpm), the sound pressure levels of all frequency components at that speed are A-weightedly superimposed to obtain the total noise curve as a function of speed. This curve reflects the combined sound pressure level of all noise sources (including water pumps, other electrical appliances, background noise, etc.) at that measurement point.
[0037] Further, order noise data processing is performed. First, the maximum order noise value of the water pump at each speed is calculated, and an envelope of the maximum order noise value is plotted, such as... Figure 4 As shown. Finally, the difference between the envelope and the total noise is calculated, and an order noise difference curve is plotted, as shown. Figure 5 As shown in the figure. All curves in the above description are two-dimensional curves, with the horizontal axis representing the pump speed in r / min and the vertical axis representing the noise level in dBA.
[0038] In step S104, the user's subjective rating of the in-vehicle noise is obtained, and a subjective rating curve is obtained. A subjective-objective mapping relationship is established based on the order noise difference curve and the subjective rating curve, and the water pump noise evaluation result of the target vehicle is obtained based on the subjective-objective mapping relationship.
[0039] Specifically, this application embodiment is a subjective evaluation of water pump noise. The evaluation site requirements are the same as the test site described above. The evaluator sits in the driver's seat and evaluates the noise level inside the vehicle throughout the process of the water pump speed increasing uniformly from the lowest stable speed to the highest stable speed.
[0040] Optionally, this application embodiment may adopt a 10-point scoring method. The subjective evaluation levels are shown in Table 1. The evaluators score according to their subjective feelings, and the smallest unit of evaluation score is 0.25 points.
[0041] Table 1
[0042] It is recommended that at least two professionals with vibration and noise assessment qualifications or who have received relevant training be included in the assessment. The water pump noise of the vehicle should be evaluated according to the above assessment method, and the final score is the average score of all evaluators. Figure 6 As shown.
[0043] Furthermore, in some embodiments, establishing a subjective-objective mapping relationship based on the order noise difference curve and the subjective rating curve includes: aligning the order noise difference curve with the subjective rating curve for each rotational speed; extracting the order noise difference and subjective rating value at the same rotational speed to obtain multiple sets of data pairs; collecting the data pairs at all rotational speeds and generating a two-dimensional scatter plot of order noise difference-subjective rating value based on the data at all rotational speeds; performing function fitting on the data points in the two-dimensional scatter plot of order noise difference-subjective rating value to obtain the order noise difference-subjective rating value mapping curve, and obtaining the subjective-objective mapping relationship based on the order noise difference-subjective rating value mapping curve.
[0044] Specifically, firstly, based on each common speed point, the order noise difference curve is aligned with the subjective rating curve. Since the two curves originate from the same test process, their horizontal axis (speed) reference is consistent, ensuring that objective data and subjective feelings are linked at the same operating conditions.
[0045] Furthermore, two aligned values are extracted at the same speed: one is the order noise difference (unit: dB(A)) at that speed point, and the other is the subjective rating (unit: points) at that speed point. This pair of values constitutes a basic data unit, which quantitatively describes the correspondence between the degree to which the most prominent tonal noise of the water pump exceeds the total background noise at that speed and the degree of annoyance felt by a person at that moment. This operation is repeated throughout the entire speed range to obtain data pairs covering the low, medium, and high speed ranges.
[0046] After compiling data pairs across all rotational speeds, a novel two-dimensional coordinate system was created to analyze the intrinsic relationship between these two variables. In this coordinate system, the horizontal axis represents the order noise difference, and the vertical axis represents the subjective rating value. Each data pair is represented as a discrete data point in this coordinate system, and all these points together form a two-dimensional scatter plot of order noise difference versus subjective rating value. This scatter plot visually reveals the trend of subjective perception as objective physical quantities change.
[0047] To extract universal, predictable mathematical relationships from discrete data points, an appropriate algorithm (such as least squares) is used to fit a function to the data points in the scatter plot. The result of the fitting is a smooth curve that best passes through or approximates all data points, i.e., the "order noise difference - subjective rating value mapping curve". This curve function (such as a linear function, polynomial function, or logarithmic function) is ultimately defined as the subjective-objective mapping relationship.
[0048] Furthermore, in some embodiments, obtaining the water pump noise evaluation result of the target vehicle based on the subjective-objective mapping relationship includes: extracting the target order noise difference value in the target speed range from the order noise difference curve; inputting the target order noise difference value into the subjective-objective mapping relationship to obtain a predicted subjective score value; comparing the predicted subjective score value with a preset evaluation level threshold, and obtaining the water pump noise evaluation result of the target vehicle based on the comparison result; wherein, the evaluation level threshold is divided based on the user acceptance corresponding to different score ranges in the subjective score curve.
[0049] Specifically, the target order noise difference within a key target speed range is extracted from the order noise difference curve of the vehicle under evaluation. For example, the focus can be on the commonly used operating speed range of the water pump (e.g., 2500-4000 rpm), or specific resonance speed points identified in the preliminary analysis where subjective evaluators have generally reported a high concentration of problems. Extracting this target difference aims to transform the complex full-speed curve into one or more of the most representative key indicators, making the evaluation process more focused and efficient.
[0050] Furthermore, this or these target order noise differences are used as input values and substituted into the aforementioned established subjective-objective mapping relationship. This mapping relationship, as a data-validated conversion model, can automatically output a corresponding predicted subjective rating value. It realizes the cross-domain conversion from physical signal (noise difference) to psychological perception (rating), and can scientifically predict the subjective feeling score that drivers and passengers may give based solely on objective test data, greatly improving the evaluation efficiency.
[0051] Finally, the calculated predicted subjective scores are compared with preset evaluation level thresholds to arrive at the final water pump noise evaluation conclusion. For example, in a 10-point scoring system, scores above 8.0 can be classified as "Excellent / No Improvement Required," scores between 6.0 and 8.0 as "Acceptable / Optimization Recommended," and scores below 6.0 as "Unacceptable / Improvement Required." These thresholds strictly correspond to the "user acceptance" represented by different score ranges, thus providing a direct and reliable basis for subsequent NVH performance decisions and optimization directions.
[0052] For example, in this application embodiment, the order noise difference in the objective test data analysis results and the subjective score results in the subjective evaluation results can be plotted on a single graph using a scatter plot to obtain the final water pump order noise evaluation result, such as... Figure 7 As shown.
[0053] Therefore, this application proposes a method for evaluating water pump noise in a vehicle configuration. It introduces the difference between order noise and total noise as an objective data evaluation basis for water pump noise, establishing a link between objective test results and subjective evaluation results. This method finds the objective data expression corresponding to subjective perception, providing a target basis for subsequent optimization of water pump noise. By mapping subjective evaluation results to objective data, the water pump noise can be achieved at a controllable level. This invention, through external drive, can test and evaluate the noise level of an electric water pump at any speed. Furthermore, the subjective evaluation method and objective test method for water pump noise of this invention can be used independently.
[0054] According to the vehicle water pump noise evaluation method proposed in this application, water pump noise is tested on the target vehicle, and order analysis is performed on the noise signal based on the rotational speed signal to obtain the total noise value and multiple order noise values at multiple rotational speeds. The maximum value among all order noise values at each rotational speed is calculated to obtain the order noise envelope. The order noise difference curve is obtained based on the difference between the order noise envelope and the total noise value at the corresponding rotational speed. A subjective-objective mapping relationship is established based on the order noise difference curve and the subjective scoring curve, and the water pump noise evaluation result of the target vehicle is obtained based on the subjective-objective mapping relationship. Thus, by combining objective testing with subjective evaluation, the lack of a comprehensive water pump noise evaluation method for new energy vehicles is filled, providing a target basis for subsequent optimization of water pump noise.
[0055] Next, referring to the accompanying drawings, an evaluation device for vehicle water pump noise according to an embodiment of this application is described.
[0056] Figure 8 This is a block diagram of a vehicle water pump noise evaluation device according to an embodiment of this application.
[0057] like Figure 8 As shown, the vehicle water pump noise evaluation device 10 includes: a data acquisition module 100, a calculation module 200, a processing module 300, and an evaluation module 400.
[0058] The system includes: a data acquisition module 100 for testing the water pump noise of the target vehicle and acquiring noise and speed signals during water pump operation; a calculation module 200 for performing order analysis on the noise signal based on the speed signal to obtain the total noise value and multiple order noise values at multiple speeds, and calculating the maximum value among all order noise values at each speed to obtain the order noise envelope; a processing module 300 for obtaining the order noise difference curve based on the difference between the order noise envelope and the total noise value at the corresponding speed; and an evaluation module 400 for obtaining the user's subjective rating of the in-vehicle noise, obtaining the subjective rating curve, establishing a subjective-objective mapping relationship based on the order noise difference curve and the subjective rating curve, and obtaining the water pump noise evaluation result of the target vehicle based on the subjective-objective mapping relationship.
[0059] Furthermore, in some embodiments, the evaluation module 400 is used to: align the order noise difference curve with the subjective rating curve based on each rotational speed; extract the order noise difference and subjective rating value at the same rotational speed to obtain multiple sets of data pairs; aggregate the data pairs at all rotational speeds and generate a two-dimensional scatter plot of order noise difference-subjective rating value based on the data at all rotational speeds; perform function fitting on the data points in the two-dimensional scatter plot of order noise difference-subjective rating value to obtain the order noise difference-subjective rating value mapping curve, and obtain the subjective-objective mapping relationship based on the order noise difference-subjective rating value mapping curve.
[0060] Furthermore, in some embodiments, the acquisition module 100 is used to: provide a target operating voltage to the water pump of the target vehicle using an external water pump drive device, and control the water pump speed to linearly increase from a first speed to a second speed based on a preset speed-up program; during the process of controlling the water pump speed to linearly increase from the first speed to the second speed, acquire noise signals using a preset acoustic sensing component, and acquire the water pump speed signal using a preset speed sensing component.
[0061] Furthermore, in some embodiments, the calculation module 200 includes: performing equal-angle resampling on the rotation speed signal to obtain a resampled angular domain signal; performing order tracking analysis on the noise signal based on the resampled angular domain signal, calculating the noise spectrum at a preset frequency resolution, and performing A-weighted superposition of the energy of all frequency bands in the noise spectrum to obtain the total noise value at the corresponding rotation speed.
[0062] Furthermore, in some embodiments, the evaluation module 400 is used to: extract the target order noise difference value of the target speed range from the order noise difference curve; input the target order noise difference value into the subjective-objective mapping relationship to obtain the predicted subjective score value; compare the predicted subjective score value with the preset evaluation level threshold, and obtain the water pump noise evaluation result of the target vehicle based on the comparison result; wherein, the evaluation level threshold is divided based on the user acceptance corresponding to different score ranges in the subjective score curve.
[0063] It should be noted that the explanation of the aforementioned method for evaluating vehicle water pump noise also applies to the vehicle water pump noise evaluation device of this embodiment, and will not be repeated here.
[0064] According to the vehicle water pump noise evaluation device proposed in this application, water pump noise is tested on a target vehicle, and order analysis is performed on the noise signal based on the rotational speed signal to obtain the total noise value and multiple order noise values at multiple rotational speeds. The maximum value among all order noise values at each rotational speed is calculated to obtain the order noise envelope. An order noise difference curve is obtained based on the difference between the order noise envelope and the total noise value at the corresponding rotational speed. A subjective-objective mapping relationship is established based on the order noise difference curve and the subjective scoring curve, and the water pump noise evaluation result of the target vehicle is obtained based on this mapping relationship. Therefore, by combining objective testing with subjective evaluation, the lack of a comprehensive water pump noise evaluation method for new energy vehicles is compensated for, providing a target basis for subsequent optimization of water pump noise.
[0065] Figure 9 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle may include: The memory 901, the processor 902, and the computer program stored on the memory 901 and capable of running on the processor 902.
[0066] When the processor 902 executes the program, it implements the vehicle water pump noise evaluation method provided in the above embodiments.
[0067] Furthermore, the vehicle also includes: Communication interface 903 is used for communication between memory 901 and processor 902.
[0068] The memory 901 is used to store computer programs that can run on the processor 902.
[0069] The memory 901 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.
[0070] If the memory 901, processor 902, and communication interface 903 are implemented independently, then the communication interface 903, memory 901, and processor 902 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 9 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.
[0071] Optionally, in a specific implementation, if the memory 901, processor 902, and communication interface 903 are integrated on a single chip, then the memory 901, processor 902, and communication interface 903 can communicate with each other through an internal interface.
[0072] The processor 902 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.
[0073] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for evaluating vehicle water pump noise.
[0074] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0075] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0076] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.
[0077] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.
[0078] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0079] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
[0080] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
[0081] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.
Claims
1. A method for evaluating vehicle water pump noise, characterized in that, Includes the following steps: The water pump noise of the target vehicle was tested, and the noise and speed signals of the water pump during operation were collected. Based on the rotational speed signal, the noise signal is analyzed by order to obtain the total noise value and multiple order noise values at multiple rotational speeds. The maximum value among all order noise values at each rotational speed is calculated to obtain the order noise envelope. The order noise difference curve is obtained based on the difference between the order noise envelope and the total noise value at the corresponding speed. The system obtains the user's subjective rating of the in-vehicle noise, generates a subjective rating curve, establishes a subjective-objective mapping relationship based on the order noise difference curve and the subjective rating curve, and obtains the water pump noise evaluation result of the target vehicle based on the subjective-objective mapping relationship.
2. The method according to claim 1, characterized in that, The step of establishing a subjective-objective mapping relationship based on the order noise difference curve and the subjective rating curve includes: Based on each rotational speed, the order noise difference curve is aligned with the subjective scoring curve; Extract the order noise difference and subjective score at the same speed to obtain multiple sets of data pairs; Collect data pairs at all speeds and generate a two-dimensional scatter plot of order noise difference - subjective score based on the data at all speeds; The data points in the two-dimensional scatter plot of the order noise difference-subjective rating value are fitted with a function to obtain the order noise difference-subjective rating value mapping curve, and the subjective-objective mapping relationship is obtained based on the order noise difference-subjective rating value mapping curve.
3. The method according to claim 1, characterized in that, The process of conducting a water pump noise test on the target vehicle and collecting noise and speed signals during water pump operation includes: An external water pump drive device is used to provide the target operating voltage to the water pump of the target vehicle, and the speed of the water pump is controlled to linearly increase from a first speed to a second speed based on a preset speed-up program; During the process of controlling the water pump speed to linearly increase from a first speed to a second speed, the noise signal is collected using a preset acoustic sensing component, and the water pump speed signal is collected using a preset speed sensing component.
4. The method according to claim 1, characterized in that, The order analysis of the noise signal based on the rotational speed signal to obtain the total noise value at multiple rotational speeds includes: The rotational speed signal is resampled at equal angles to obtain the resampled angular domain signal; Based on the resampled angular domain signal, the noise signal is subjected to order tracking analysis to calculate the noise spectrum at a preset frequency resolution. The energy of all frequency bands in the noise spectrum is superimposed using A-weighting to obtain the total noise value at the corresponding rotational speed.
5. The method according to claim 1, characterized in that, The step of obtaining the water pump noise evaluation result of the target vehicle based on the subjective-objective mapping relationship includes: Extract the target order noise difference value for the target speed range from the order noise difference curve; The target order noise difference is input into the subjective-objective mapping relationship to obtain the predicted subjective score value; The predicted subjective score is compared with the preset evaluation level threshold, and the water pump noise evaluation result of the target vehicle is obtained based on the comparison result. The evaluation level threshold is divided based on the user acceptance corresponding to different score intervals in the subjective rating curve.
6. A device for evaluating vehicle water pump noise, characterized in that, include: The data acquisition module is used to test the water pump noise of the target vehicle and to collect noise and speed signals during the operation of the water pump. The calculation module is used to perform order analysis on the noise signal based on the rotation speed signal, obtain the total noise value and multiple order noise values at multiple rotation speeds, and calculate the maximum value among all order noise values at each rotation speed to obtain the order noise envelope. The processing module is used to obtain the order noise difference curve based on the difference between the order noise envelope and the total noise value at the corresponding speed. The evaluation module is used to obtain the user's subjective rating of the in-vehicle noise, obtain the subjective rating curve, establish a subjective-objective mapping relationship based on the order noise difference curve and the subjective rating curve, and obtain the water pump noise evaluation result of the target vehicle based on the subjective-objective mapping relationship.
7. The apparatus according to claim 6, characterized in that, The evaluation module is used for: Based on each rotational speed, the order noise difference curve is aligned with the subjective scoring curve; Extract the order noise difference and subjective score at the same speed to obtain multiple sets of data pairs; Collect data pairs at all speeds and generate a two-dimensional scatter plot of order noise difference - subjective score based on the data at all speeds; The data points in the two-dimensional scatter plot of the order noise difference-subjective rating value are fitted with a function to obtain the order noise difference-subjective rating value mapping curve, and the subjective-objective mapping relationship is obtained based on the order noise difference-subjective rating value mapping curve.
8. The apparatus according to claim 6, characterized in that, The acquisition module is used for: An external water pump drive device is used to provide the target operating voltage to the water pump of the target vehicle, and the speed of the water pump is controlled to linearly increase from a first speed to a second speed based on a preset speed-up program; During the process of controlling the water pump speed to linearly increase from a first speed to a second speed, the noise signal is collected using a preset acoustic sensing component, and the water pump speed signal is collected using a preset speed sensing component.
9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to implement the method for evaluating vehicle water pump noise as described in any one of claims 1-5.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program is executed by a processor to implement the method for evaluating vehicle water pump noise as described in any one of claims 1-5.