Quantification method, device and equipment for abnormal sound of cdc shock absorber and medium
By acquiring subjective and objective data from test vehicles and calculating a comprehensive quantitative index of abnormal noise, the problem of poor consistency and low tuning efficiency in the evaluation of abnormal noise of CDC shock absorbers was solved, achieving accurate quantification and efficient tuning.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XIANGYANG DAAN AUTOMOBILE TEST CENT
- Filing Date
- 2026-04-29
- Publication Date
- 2026-08-04
AI Technical Summary
In existing technologies, the evaluation of abnormal noise in CDC shock absorbers relies on subjective feelings and lacks objective data correlation and quantitative standards, resulting in poor consistency of evaluation results, low calibration efficiency and high cost.
By deploying sensors on the test vehicle, subjective evaluations and vibration and sound signals are obtained. Combined with characteristic value calculations, a comprehensive quantitative index of abnormal noise is realized, and adjustment suggestions are output.
It achieves objective and accurate quantification of the degree of abnormal noise, quickly locates the root cause component and provides adjustment parameters, thereby improving adjustment efficiency and result reliability.
Smart Images
Figure CN122505604A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of automotive NVH (noise, vibration, and harshness) testing and diagnostic technology, specifically to a method, device, equipment, and medium for quantifying abnormal noises in a vehicle using a CDC shock absorber. Background Technology
[0002] CDC (Continuous Damping Control) shock absorbers are core components for improving vehicle handling and comfort; abnormal noises from them seriously affect overall vehicle quality and the driving experience. Currently, the industry's evaluation and solutions for abnormal noises in CDC shock absorbers mainly focus on the following prominent issues: (1) Subjective evaluation has great limitations: the evaluation of abnormal noise is highly dependent on the subjective feelings of engineers or evaluators. The sensitivity and evaluation criteria among individuals are significantly different, resulting in poor consistency of evaluation results (Kappa coefficient is often below 0.6), low repeatability, and difficulty in serving as a reliable basis for optimization. (2) Objective data are isolated and the root cause cannot be located: Existing technologies mostly use a single method, such as testing only the cabin noise or a single measuring point vibration. These data exist in isolation and fail to effectively link the complete path of "vibration source of shock absorber → structural transmission → in-vehicle acoustic response → human ear perception", making it impossible to accurately locate the root cause of abnormal noise (such as valve system, bushing or piston rod). (3) Lack of quantitative standards and efficient tuning guidelines: There are no unified and quantifiable indicators to measure the severity of abnormal noise, which makes it impossible to objectively compare the abnormal noise of shock absorbers of different models, batches and mileages. At the same time, tuning and optimization rely entirely on the experience of engineers to make trial and error, which is time-consuming, costly and difficult to guarantee the effect.
[0003] Therefore, how to integrate subjective and objective information to achieve accurate quantification of abnormal noises and directly guide the adjustment has become an urgent problem to be solved. Summary of the Invention
[0004] This application provides a method, device, equipment, and medium for quantifying abnormal noises in vehicles using CDC shock absorbers. Through multi-source data fusion and characteristic frequency analysis, it achieves objective and accurate quantification of the degree of abnormal noise.
[0005] In a first aspect, embodiments of this application provide a method for quantifying abnormal noises from a CDC shock absorber in a vehicle, the method comprising: Sensors were placed at specific locations on the test vehicle equipped with CDC shock absorbers to obtain subjective evaluations based on abnormal noise perception under different driving conditions, as well as vibration and sound signals measured by the sensors. Vibration feature values are obtained based on the vibration signal, sound feature values are obtained based on the sound signal, and the subjective evaluation is converted into a standardized subjective score value. Based on the vibration characteristic value and sound characteristic value, standardized vibration value and standardized sound value are calculated, and combined with the standardized subjective score value, a comprehensive quantitative index of abnormal noise is calculated. Based on the comprehensive quantitative index of abnormal noise, the abnormal noise level is classified. Combining the classified abnormal noise level with the vibration characteristic value, adjustment suggestions for the CDC shock absorber are output.
[0006] In conjunction with the first aspect, in one implementation, the step of arranging sensors at specific locations on a test vehicle equipped with CDC shock absorbers to acquire subjective evaluations based on abnormal noise perception under different driving conditions, as well as vibration and sound signals measured by the sensors, specifically includes: Obtain test vehicles equipped with CDC shock absorbers, wherein the test vehicles include multiple vehicles with different mileages; An acceleration sensor was placed at the connection point between the CDC shock absorber body and the vehicle body of the test vehicle, and a sound level meter was placed in the cockpit of the test vehicle. The test vehicle is controlled to travel at different speeds on a preset test route under different road conditions. Simultaneously, vibration signals measured by an accelerometer, sound signals measured by a sound level meter, and subjective evaluations based on abnormal noise perception are collected.
[0007] In conjunction with the first aspect, in one embodiment, obtaining vibration feature values based on the vibration signal and obtaining sound feature values based on the sound signal specifically includes: The maximum power spectral density within a set frequency range is extracted from the vibration signal and used as the vibration characteristic value. The maximum sound pressure level within a set frequency range is extracted from the sound signal and used as the sound characteristic value.
[0008] In conjunction with the first aspect, in one embodiment, the calculation of standardized vibration values and standardized sound values based on the vibration characteristic values and sound characteristic values specifically includes: The vibration value is calculated based on the vibration characteristic value, specifically: PSD std =(PSD max / PSD ref )×100 Among them, PSD std PSD represents the normalized vibration value. max Represents the vibration characteristic value, PSD ref This represents the baseline value of the vibration characteristics of a vehicle equipped with a CDC shock absorber in normal operating condition under the same driving conditions. Standardized sound values are calculated based on sound feature values. Specifically: L std =(L max / L ref )×100 Among them, L std L represents the standardized sound value. max L represents the sound characteristic value. ref This represents the baseline sound characteristic value of a vehicle equipped with a CDC shock absorber in normal operating condition under the same driving conditions.
[0009] In conjunction with the first aspect, in one implementation method, The method for determining the vibration characteristic value benchmark is as follows: select multiple vehicles of the same model that have been verified to have no abnormal noise in actual vehicles, drive them under the same driving conditions, measure the vibration signals to obtain the vibration characteristic value, and take the arithmetic mean of multiple vibration characteristic values as the vibration characteristic value benchmark. The method for determining the benchmark value of sound feature values is as follows: select multiple vehicles of the same model that have been verified to have no abnormal noise in actual vehicles, drive them under the same driving conditions, measure the sound signals to obtain sound feature values, and take the arithmetic mean of multiple sound feature values as the benchmark value of sound feature values.
[0010] In conjunction with the first aspect, in one implementation method, the calculation of the comprehensive quantitative index of abnormal noise is specifically as follows: NQI=W1×S std +W2×PSD std +W3×L std Wherein, NQI represents the comprehensive quantitative index of abnormal noise, W1, W2, and W3 represent weighting coefficients, and S... std PSD represents the standardized subjective rating. std L represents the standardized vibration value. std This represents the standardized sound value.
[0011] In conjunction with the first aspect, in one implementation, the step of classifying abnormal noise levels based on the comprehensive abnormal noise quantification index, and combining the obtained abnormal noise levels with the vibration characteristic values, outputs adjustment suggestions for the CDC vibration damper, specifically including: The abnormal noise levels are classified based on the comprehensive quantitative index of abnormal noise. There are multiple abnormal noise levels, and different abnormal noise levels correspond to different ranges of comprehensive quantitative index values. Based on the abnormal noise levels obtained from the classification and the characteristic frequency sub-intervals of the vibration characteristic values obtained from the vibration signals, combined with the pre-established calibration direction database, calibration suggestions for the CDC damper are output. The calibration direction database stores the mapping relationship between different characteristic frequency sub-intervals and potential fault causes and calibration methods of CDC shock absorbers under different abnormal noise levels.
[0012] Secondly, embodiments of this application provide a vehicle noise quantification device for CDC shock absorbers, the vehicle noise quantification device for CDC shock absorbers comprising: The data acquisition module is used to place sensors at specific locations on the test vehicle equipped with CDC shock absorbers to obtain subjective evaluations based on abnormal noise perception under different driving conditions, as well as vibration and sound signals measured by the sensors. The data processing module is used to obtain vibration feature values based on the vibration signal, obtain sound feature values based on the sound signal, and convert the subjective evaluation into a standardized subjective score value. The quantitative calculation module is used to calculate standardized vibration values and standardized sound values based on the vibration characteristic values and sound characteristic values, and to calculate the comprehensive quantitative index of abnormal noise by combining the standardized subjective score values. The adjustment guidance module is used to classify abnormal noise levels based on the comprehensive abnormal noise quantification index, and output adjustment suggestions for the CDC shock absorber by combining the obtained abnormal noise levels and the vibration characteristic values.
[0013] Thirdly, this application provides a CDC shock absorber whole vehicle noise quantification device. The CDC shock absorber whole vehicle noise quantification device includes a processor, a memory, and a CDC shock absorber whole vehicle noise quantification program stored in the memory and executable by the processor. When the CDC shock absorber whole vehicle noise quantification program is executed by the processor, it implements the steps of the CDC shock absorber whole vehicle noise quantification method described above.
[0014] Fourthly, embodiments of this application provide a computer-readable storage medium storing a CDC shock absorber whole-vehicle noise quantification program, wherein when the CDC shock absorber whole-vehicle noise quantification program is executed by a processor, the steps of the CDC shock absorber whole-vehicle noise quantification method described above are implemented.
[0015] The beneficial effects of the technical solutions provided in this application include: (1) Objective evaluation and precise quantification: By integrating subjective and objective data, individual subjective differences are effectively eliminated. The comprehensive quantitative index of abnormal noise achieves precise and unified quantification of the severity of abnormal noise, making the results under different test conditions comparable. (2) Efficient linkage between diagnosis and tuning: This application not only provides evaluation results, but also can quickly locate the root cause of abnormal noise through characteristic frequency analysis, and directly output specific tuning parameter suggestions, transforming the traditional experience trial and error into data-driven precise optimization, greatly improving tuning efficiency; (3) Strong versatility and good reproducibility: The defined test specifications, data processing methods and reference benchmark acquisition methods make this application applicable to the evaluation of CDC shock absorbers of different vehicle models. The process is standardized, the results are reliable, and it is easy to promote and apply it on a large scale in the whole vehicle R&D and quality control process. Attached Figure Description
[0016] Figure 1 This is a flowchart illustrating the method for quantifying abnormal noises in vehicles using CDC shock absorbers in this application. Figure 2 This is a schematic diagram of the functional modules of the CDC shock absorber vehicle noise quantification device in this application; Figure 3 This is a schematic diagram of the hardware structure of the CDC shock absorber vehicle noise quantification device in this application. Detailed Implementation
[0017] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.
[0018] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.
[0019] Firstly, this application provides a method for quantifying abnormal noises of CDC shock absorbers in vehicles, which is used to accurately quantify the degree of abnormal noise of CDC shock absorbers in vehicles and provide clear guidance for shock absorber adjustment. Specifically, through multi-source data fusion and characteristic frequency analysis, the method achieves objective and accurate quantification of the degree of abnormal noise and establishes a direct correlation between abnormal noise characteristics and adjustment measures, thereby effectively solving problems such as large subjective bias, low diagnostic efficiency, and blind adjustment.
[0020] In one embodiment, reference is made to Figure 1 , Figure 1 This is a flowchart illustrating the method for quantifying abnormal noises in vehicles using CDC shock absorbers, as described in this application. Figure 1 As shown, the method for quantifying abnormal noises from CDC shock absorbers in vehicles includes: S1: Sensors are placed at specific locations on the test vehicle equipped with CDC shock absorbers to obtain subjective evaluations based on abnormal noise perception under different driving conditions, as well as vibration and sound signals measured by the sensors; S2: Obtain vibration feature values based on the vibration signal, obtain sound feature values based on the sound signal, and convert the subjective evaluation into standardized subjective score values; S3: Based on the vibration characteristic value and sound characteristic value, calculate the standardized vibration value and standardized sound value, and combine them with the standardized subjective score value to calculate the comprehensive quantitative index of abnormal noise; S4: Based on the comprehensive quantitative index of abnormal noise, classify the abnormal noise level, and combine the obtained abnormal noise level with the vibration characteristic value to output adjustment suggestions for the CDC shock absorber.
[0021] Furthermore, in one embodiment, sensors are arranged at specific locations on a test vehicle equipped with CDC shock absorbers to acquire subjective evaluations based on abnormal noise perception under different driving conditions, as well as vibration and sound signals measured by the sensors. Specifically, this includes: S101: Obtain test vehicles equipped with CDC shock absorbers, wherein the test vehicles include multiple vehicles with different mileages; Specifically, the test vehicles will include at least three vehicles, covering the new car, mid-term and late-term mileage ranges respectively; S102: An acceleration sensor is installed at the connection point between the CDC shock absorber body and the vehicle body of the test vehicle, and a sound level meter is installed in the cockpit of the test vehicle; furthermore, a team of subjective evaluators with consistency verification can be configured to obtain subjective evaluation based on abnormal noise perception, and the consistency of the subjective evaluator team is verified by the Kappa coefficient, and the Kappa coefficient is not less than 0.75. S103: Control the test vehicle to travel at different speeds on a preset test route under different road conditions, simultaneously collecting vibration signals measured by an accelerometer, sound signals measured by a sound level meter, and subjective evaluations based on abnormal noise perception. It should be noted that the subjective evaluation uses a 1-5 level system, and the rules for converting it into standardized subjective scores are as follows: Level 1 corresponds to 0 points, Level 2 to 25 points, Level 3 to 50 points, Level 4 to 75 points, and Level 5 to 100 points. Converting the subjective evaluation into standardized subjective scores means converting the subjective evaluation into standardized subjective scores ranging from 0 to 100 points. Furthermore, in one embodiment, obtaining vibration feature values based on the vibration signal and obtaining sound feature values based on the sound signal specifically includes: S201: Extract the maximum power spectral density of a set frequency range from the vibration signal as the vibration characteristic value; specifically, extract the maximum power spectral density of the characteristic frequency range of 200-500Hz from the vibration signal as the vibration characteristic value. S202: Extract the maximum sound pressure level within a specified frequency range from the sound signal as a sound feature value. Specifically, extract the maximum sound pressure level within the 200-500Hz characteristic frequency range from the sound signal as a sound feature value.
[0022] Furthermore, in one embodiment, the standardized vibration value and standardized sound value are calculated based on the vibration characteristic value and sound characteristic value, specifically including: S301: Calculate standardized vibration values based on vibration characteristic values, specifically: PSD std =(PSD max / PSD ref )×100 Among them, PSD std PSD represents the normalized vibration value. max Represents the vibration characteristic value, PSD ref This represents the baseline value of the vibration characteristics of a vehicle equipped with a CDC shock absorber in normal operating condition under the same driving conditions. S302: Calculate standardized sound values based on sound feature values, specifically: L std =(L max / L ref )×100 Among them, L std L represents the standardized sound value. max L represents the sound characteristic value. ref This represents the baseline sound characteristic value of a vehicle equipped with a CDC shock absorber in normal operating condition under the same driving conditions.
[0023] It should be noted that the reference value for vibration characteristic is determined as follows: select multiple vehicles of the same model that have been verified to be free of abnormal noise in actual vehicles, drive them under the same driving conditions, measure the vibration signals to obtain vibration characteristic values, and take the arithmetic mean of multiple vibration characteristic values as the reference value for vibration characteristic; that is, use normal vehicles equipped with CDC shock absorbers, maintain the same test conditions as the vehicle being measured, and thus obtain the reference value for vibration characteristic. The reference value for sound characteristic values is determined as follows: Multiple vehicles of the same model, verified to be free of abnormal noise in actual vehicles, are selected and driven under identical driving conditions. Sound signals are measured to obtain sound characteristic values, and the arithmetic mean of these multiple sound characteristic values is used as the reference value. In other words, a normal vehicle equipped with CDC shock absorbers is used, maintaining the same test conditions as the vehicle being measured, thereby obtaining the reference value for sound characteristic values.
[0024] Furthermore, in one embodiment, the calculation of the comprehensive quantitative index of abnormal noise is specifically as follows: NQI=W1×S std +W2×PSD std +W3×L std Where NQI represents the comprehensive quantitative index of abnormal noise, W1, W2, and W3 represent weighting coefficients, and W1+W2+W3=1, S std PSD represents the standardized subjective rating. std L represents the standardized vibration value. std This represents the standardized sound value. In one possible implementation, W1 is 0.4, W2 is 0.3, and W3 is 0.3, and when PSD... std and L std If the calculation result exceeds 100, it will be taken as 100.
[0025] Furthermore, in one embodiment, the abnormal noise level is classified based on the comprehensive abnormal noise quantification index. Combining the classified abnormal noise level with the vibration characteristic value, adjustment suggestions for the CDC vibration damper are output, specifically including: S401: The abnormal noise level is classified based on the comprehensive quantitative index of abnormal noise. There are multiple abnormal noise levels, and different abnormal noise levels correspond to different ranges of comprehensive quantitative index values. For example, when the comprehensive quantitative index of abnormal noise is less than or equal to 20, it is an abnormal noise that does not require treatment; when the comprehensive quantitative index of abnormal noise is greater than 20 and less than or equal to 40, it is a slight abnormal noise; when the comprehensive quantitative index of abnormal noise is greater than 40 and less than or equal to 60, it is a moderate abnormal noise; and when the comprehensive quantitative index of abnormal noise is greater than 60, it is a severe abnormal noise. S402: Based on the abnormal noise level obtained from the division and the characteristic frequency sub-interval of the vibration characteristic value obtained from the vibration signal, combined with the pre-established calibration direction database, output calibration suggestions for the CDC shock absorber. The calibration direction database stores the mapping relationship between different characteristic frequency sub-ranges and potential fault causes and calibration methods of CDC shock absorbers under different abnormal noise levels. The characteristic frequency sub-ranges include 200-300Hz and 300-500Hz. The correspondence between characteristic frequency sub-ranges, fault causes, and calibration methods is shown in Table 1 below.
[0026] Table 1
[0027] In one possible implementation, a high-speed camera for observing the motion of the shock absorber can also be placed in the test vehicle. The high-speed camera has a frame rate of not less than 200fps and is positioned in front of / behind the vehicle with its lens pointed at the CDC shock absorber.
[0028] The proposed method for quantifying vehicle-wide abnormal noises from CDC shock absorbers utilizes multi-dimensional synchronous data acquisition, characteristic frequency focusing analysis, standardization based on reference benchmarks, and weighted fusion quantification. First, a test plan is designed, selecting vehicles covering different mileages. Sensors are precisely deployed at the connection points between the shock absorber and the vehicle body, as well as within the passenger compartment. A consensus-verified subjective evaluation team is assembled. Vehicles are driven under various conditions, including smooth roads, bumpy roads, washboard roads, and cornering, with simultaneous acquisition of vibration, sound, video, and subjective scoring data.
[0029] During the data processing phase, the focus is on the characteristic frequency range of 200-500Hz for abnormal noises in CDC dampers (such as valve flutter and bushing friction), extracting objective characteristic values (PSDs) of vibration and sound. max L max To eliminate the differences between vehicle condition and testing environment, this application innovatively introduces a reference baseline value (PSD). ref L ref Standardization is performed, and the benchmark value is obtained by averaging multiple identical vehicles that have been confirmed to have no abnormal noise under the same conditions.
[0030] Standardized subjective scores, vibration values, and sound values are weighted and fused using optimized weights (0.4, 0.3, 0.3) verified by extensive experimental data to calculate a comprehensive noise index ranging from 0 to 100. This index comprehensively reflects user perception, vibration source intensity, and acoustic performance. The noise level is determined based on the NQI value, and a pre-built calibration direction database is queried based on the characteristic frequency sub-intervals (200-300Hz, 300-500Hz) with the highest vibration energy. This allows for the output of specific and actionable calibration guidelines, such as optimizing valve plate thickness, changing bushing material, and correcting piston rod straightness, thus achieving a closed loop from diagnosis to calibration.
[0031] The following example illustrates the method for quantifying vehicle noise from the CDC shock absorber in this application.
[0032] First, test preparation was conducted. For vehicles and equipment, three SUVs from the same batch were selected, with mileages of 800km (new), 25,000km (mid-term), and 60,000km (late-term). Accelerometers were placed on the four shock absorber bodies and the connection point at the top of the struts, a sound level meter was placed near the driver's right ear, and a high-speed camera was mounted outside the vehicle, aimed at the shock absorbers. For evaluators, three NVH evaluators were used, with a Kappa compliance coefficient of 0.82. For baseline value acquisition, ten vehicles of the same model without abnormal noises (mileage 5000-15000km) were selected. These vehicles were driven at speeds of 30km / h, 60km / h, 80km / h, and 15km / h (steering) on the same test route (smooth asphalt road, bumpy gravel road, washboard road, and turning area). Data was collected, and the arithmetic mean of the vibration and sound characteristic values of all valid data within the 200-500Hz frequency band was calculated. The baseline value for the vibration characteristic value was 0.42m² / s³, and the baseline value for the sound characteristic value was 50dB.
[0033] Secondly, data collection and feature extraction were performed. Data was collected for 90 seconds under conditions of 60 km / h on a bumpy gravel road, repeated three times. For subjective data: three evaluators gave scores of 3, 3, and 4, with an average of 3.33, which were then converted into a standardized score S. std =58 points; Regarding objective data: Front left shock absorber body PSD max =0.85m² / s³, L in the cockpit max =62dB.
[0034] Secondly, there's data standardization and NQI calculation. PSD std =(0.85 / 0.42)*100≈202.38 (taking the upper limit of 100 according to the rules); L std =(62 / 50)*100=124 (take the upper limit of 100 according to the rules); NQI=0.4*58+0.3*100+0.3*100=23.2+30+30=83.2 points.
[0035] Finally, the results were assessed and adjustment guidelines were provided. The NQI score was 83.2, classifying it as a severe abnormal noise level. Further analysis revealed PSD (Pulse Damage). max The peak frequency was concentrated at 280Hz (within the 200-300Hz sub-range). A query of the calibration direction database (built based on historical fault cases, recording a strong correlation between abnormally high vibration in the 200-300Hz range and loose or improperly thick damping valve plates) yielded the following calibration suggestion: "Increase the thickness of the front shock absorber damping valve plates from 1.2mm to 1.4mm, and adjust the preload from 15N·m to 18N·m." After adjustment, verification was performed. Following the suggestion, a retest under the same operating conditions showed that the NQI value dropped to 18.5 (no abnormalities), and the abnormal noise problem was resolved.
[0036] Secondly, embodiments of this application also provide a device for quantifying abnormal noises in a vehicle using a CDC shock absorber.
[0037] In one embodiment, reference is made to Figure 2 , Figure 2 This is a functional module diagram of the CDC shock absorber vehicle noise quantification device of this application. Figure 2 As shown, the CDC shock absorber vehicle noise quantification device includes: a data acquisition module, a data processing module, a quantification calculation module, and an adjustment guidance module.
[0038] The data acquisition module is used to place sensors at specific locations on the test vehicle equipped with CDC shock absorbers to acquire subjective evaluations based on abnormal noise perception under different driving conditions, as well as vibration and sound signals measured by the sensors. The data processing module is used to obtain vibration characteristic values based on the vibration signals, obtain sound characteristic values based on the sound signals, and convert the subjective evaluations into standardized subjective scores. The quantification calculation module is used to calculate standardized vibration and sound values based on the vibration and sound characteristic values, and calculate a comprehensive abnormal noise quantification index in combination with the standardized subjective scores. The tuning guidance module is used to classify abnormal noise levels based on the comprehensive abnormal noise quantification index, and output tuning suggestions for the CDC shock absorbers based on the obtained abnormal noise levels and the vibration characteristic values.
[0039] Thirdly, this application provides a CDC shock absorber whole vehicle noise quantification device. The CDC shock absorber whole vehicle noise quantification device can be a personal computer (PC), laptop computer, server or other device with data processing function.
[0040] Reference Figure 3 , Figure 3 This is a schematic diagram of the hardware structure of the CDC shock absorber vehicle noise quantification device involved in the embodiments of this application. In the embodiments of this application, the CDC shock absorber vehicle noise quantification device may include a processor, a memory, a communication interface, and a communication bus.
[0041] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.
[0042] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces for interconnecting components within the CDC shock absorber vehicle noise quantification device, as well as interfaces for interconnecting the CDC shock absorber vehicle noise quantification device with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.
[0043] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.
[0044] The processor can be a general-purpose processor, which can call the CDC shock absorber whole-vehicle noise quantification program stored in the memory and execute the CDC shock absorber whole-vehicle noise quantification method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the CDC shock absorber whole-vehicle noise quantification program is called can refer to the various embodiments of the CDC shock absorber whole-vehicle noise quantification method of this application, and will not be repeated here.
[0045] Those skilled in the art will understand that Figure 3 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0046] Fourthly, embodiments of this application also provide a computer-readable storage medium.
[0047] The present application stores a CDC shock absorber whole vehicle noise quantification program on a computer-readable storage medium, wherein when the CDC shock absorber whole vehicle noise quantification program is executed by a processor, the steps of the CDC shock absorber whole vehicle noise quantification method described above are implemented.
[0048] The method implemented when the CDC shock absorber vehicle noise quantification procedure is executed can be referred to in various embodiments of the CDC shock absorber vehicle noise quantification method of this application, and will not be repeated here.
[0049] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.
[0050] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.
[0051] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.
[0052] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.
[0053] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.
[0054] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.
Claims
1. A method for quantifying abnormal noises from CDC shock absorbers in vehicles, characterized in that, The method for quantifying abnormal noises in vehicles using CDC shock absorbers includes: Sensors were placed at specific locations on the test vehicle equipped with CDC shock absorbers to obtain subjective evaluations based on abnormal noise perception under different driving conditions, as well as vibration and sound signals measured by the sensors. Vibration feature values are obtained based on the vibration signal, sound feature values are obtained based on the sound signal, and the subjective evaluation is converted into a standardized subjective score value. Based on the vibration characteristic value and sound characteristic value, standardized vibration value and standardized sound value are calculated, and combined with the standardized subjective score value, a comprehensive quantitative index of abnormal noise is calculated. Based on the comprehensive quantitative index of abnormal noise, the abnormal noise level is classified. Combining the classified abnormal noise level with the vibration characteristic value, adjustment suggestions for the CDC shock absorber are output.
2. The method for quantifying abnormal noises from a CDC shock absorber in a vehicle as described in claim 1, characterized in that, The process involves placing sensors at specific locations on a test vehicle equipped with CDC shock absorbers to acquire subjective evaluations based on abnormal noise perception under different driving conditions, as well as vibration and sound signals measured by the sensors. Specifically, this includes: Obtain test vehicles equipped with CDC shock absorbers, wherein the test vehicles include multiple vehicles with different mileages; An acceleration sensor was placed at the connection point between the CDC shock absorber body and the vehicle body of the test vehicle, and a sound level meter was placed in the cockpit of the test vehicle. The test vehicle is controlled to travel at different speeds on a preset test route under different road conditions. Simultaneously, vibration signals measured by an accelerometer, sound signals measured by a sound level meter, and subjective evaluations based on abnormal noise perception are collected.
3. The method for quantifying abnormal noises from a CDC shock absorber in a vehicle as described in claim 1, characterized in that, The process of obtaining vibration feature values based on the vibration signal and obtaining sound feature values based on the sound signal specifically includes: The maximum power spectral density within a set frequency range is extracted from the vibration signal and used as the vibration characteristic value. The maximum sound pressure level within a set frequency range is extracted from the sound signal and used as the sound characteristic value.
4. The method for quantifying abnormal noises from a CDC shock absorber in a vehicle as described in claim 1, characterized in that, The step of calculating standardized vibration values and standardized sound values based on the vibration characteristic values and sound characteristic values specifically includes: The vibration value is calculated based on the vibration characteristic value, specifically: PSD std =(PSD max / PSD ref )×100 Among them, PSD std PSD represents the normalized vibration value. max Represents the vibration characteristic value, PSD ref This represents the baseline value of the vibration characteristics of a vehicle equipped with a CDC shock absorber in normal operating condition under the same driving conditions. Standardized sound values are calculated based on sound feature values. Specifically: L std =(L max / L ref )×100 Among them, L std L represents the standardized sound value. max L represents the sound characteristic value. ref This represents the baseline sound characteristic value of a vehicle equipped with a CDC shock absorber in normal operating condition under the same driving conditions.
5. The method for quantifying abnormal noises in a vehicle using a CDC shock absorber as described in claim 4, characterized in that: The method for determining the vibration characteristic value benchmark is as follows: select multiple vehicles of the same model that have been verified to have no abnormal noise in actual vehicles, drive them under the same driving conditions, measure the vibration signals to obtain the vibration characteristic value, and take the arithmetic mean of multiple vibration characteristic values as the vibration characteristic value benchmark. The method for determining the benchmark value of sound feature values is as follows: select multiple vehicles of the same model that have been verified to have no abnormal noise in actual vehicles, drive them under the same driving conditions, measure the sound signals to obtain sound feature values, and take the arithmetic mean of multiple sound feature values as the benchmark value of sound feature values.
6. The method for quantifying abnormal noises from a CDC shock absorber in a vehicle as described in claim 1, characterized in that, The calculation of the comprehensive quantitative index for abnormal noise is as follows: NQI=W1×S std +W2×PSD std +W3×L std Wherein, NQI represents the comprehensive quantitative index of abnormal noise, W1, W2, and W3 represent weighting coefficients, and S... std PSD represents the standardized subjective rating. std L represents the standardized vibration value. std This represents the standardized sound value.
7. The method for quantifying abnormal noises from a CDC shock absorber in a vehicle as described in claim 1, characterized in that, The abnormal noise level is classified based on the comprehensive quantitative index of abnormal noise. Combining the classified abnormal noise level with the vibration characteristic value, adjustment suggestions for the CDC vibration damper are output, specifically including: The abnormal noise levels are classified based on the comprehensive quantitative index of abnormal noise. There are multiple abnormal noise levels, and different abnormal noise levels correspond to different ranges of comprehensive quantitative index values. Based on the abnormal noise levels obtained from the classification and the characteristic frequency sub-intervals of the vibration characteristic values obtained from the vibration signals, combined with the pre-established calibration direction database, calibration suggestions for the CDC damper are output. The calibration direction database stores the mapping relationship between different characteristic frequency sub-intervals and potential fault causes and calibration methods of CDC shock absorbers under different abnormal noise levels.
8. A device for quantifying abnormal noises in a vehicle using a CDC shock absorber, characterized in that, The CDC shock absorber vehicle noise quantification device includes: The data acquisition module is used to place sensors at specific locations on the test vehicle equipped with CDC shock absorbers to obtain subjective evaluations based on abnormal noise perception under different driving conditions, as well as vibration and sound signals measured by the sensors. The data processing module is used to obtain vibration feature values based on the vibration signal, obtain sound feature values based on the sound signal, and convert the subjective evaluation into a standardized subjective score value. The quantitative calculation module is used to calculate standardized vibration values and standardized sound values based on the vibration characteristic values and sound characteristic values, and to calculate the comprehensive quantitative index of abnormal noise by combining the standardized subjective score values. The adjustment guidance module is used to classify abnormal noise levels based on the comprehensive abnormal noise quantification index, and output adjustment suggestions for the CDC shock absorber by combining the obtained abnormal noise levels and the vibration characteristic values.
9. A device for quantifying abnormal noises in a vehicle using a CDC shock absorber, characterized in that, The CDC shock absorber vehicle noise quantification device includes a processor, a memory, and a CDC shock absorber vehicle noise quantification program stored in the memory and executable by the processor. When the CDC shock absorber vehicle noise quantification program is executed by the processor, it implements the steps of the CDC shock absorber vehicle noise quantification method as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a CDC shock absorber whole vehicle noise quantification program, wherein when the CDC shock absorber whole vehicle noise quantification program is executed by a processor, the steps of the CDC shock absorber whole vehicle noise quantification method as described in any one of claims 1 to 7 are implemented.