A method for determining a single abnormal vibration cause during actual vehicle driving

Abstract

This invention relates to the field of vibration detection technology, and more particularly to a method for determining the cause of a single abnormal vibration during actual vehicle operation. The method includes: acquiring several sets of experimental vibration data and converting them into experimental waterfall plots; obtaining the experimental vibration order and amplitude percentage from the waterfall plots; constructing a correspondence table and determining scoring rules; collecting real-time vibration data and converting it into a real-time waterfall plot, obtaining the real-time vibration order and amplitude percentage; determining possible causes of abnormal vibration based on the real-time vibration order and the correspondence table; calculating a vibration score; and determining the cause of the abnormal vibration based on the vibration score. This invention calculates vibration scores using scoring rules corresponding to the magnitude of vibration orders, and compares the vibration scores with corresponding score intervals for each abnormal vibration cause in the correspondence table, thereby obtaining the cause of the abnormal vibration and increasing the accuracy of the detection results.

Description

Technical Field

[0001] This invention relates to the field of vibration detection technology, and in particular to a method for determining the cause of a single abnormal vibration during actual vehicle operation. Background Technology

[0002] With continuous economic development and rising living standards, the number of vehicles on the road is increasing year by year. Abnormal vibrations during vehicle operation are a significant factor affecting safety and comfort. If the cause of abnormal vibrations during vehicle operation cannot be accurately determined, it will not only accelerate component wear but may also lead to serious safety accidents such as tire blowouts and suspension failures.

[0003] There are three main methods for determining the causes of abnormal vehicle vibrations: offline laboratory testing, manual on-vehicle assessment, and automatic detection based on vibration data. However, offline laboratory testing requires removing the vehicle's tires and conducting tests in a laboratory, which cannot simulate the dynamic coupling conditions from the road surface to the tires and chassis during actual vehicle operation, often resulting in inaccurate test results. Manual on-vehicle assessment relies on the repair personnel's experience to identify the causes of abnormal vibrations, making it highly subjective and susceptible to human error. Automatic detection based on vibration data only collects vibration data in one or two directions, ignoring the three-dimensional coupling of vibrations in the front-rear, left-right, and up-down directions. Furthermore, since there are many causes of abnormal vibrations, the resulting abnormal vibration data overlaps, making it impossible to accurately determine the cause of abnormal vibrations, leading to inaccurate test results.

[0004] Therefore, the existing technology has defects and urgently needs improvement. Summary of the Invention

[0005] The purpose of this invention is to provide a method for determining the cause of a single abnormal vibration during actual vehicle operation. This addresses the problems of existing offline laboratory testing methods, which require removing vehicle tires for testing in a laboratory, failing to simulate the dynamic coupling conditions from the road surface to the tires and chassis during actual vehicle operation, resulting in test results that often do not match reality; manual judgment methods based on maintenance personnel's experience to identify the cause of abnormal vibration, which are highly subjective and greatly influenced by human factors; and automatic detection methods based on vibration data, which only collect vibration data in one or two directions, ignoring the three-dimensional coupling of vibrations in the front-back, left-right, and up-down directions, and since there are many causes of abnormal vibration, the resulting abnormal vibration data overlaps, making it impossible to accurately determine the cause of abnormal vibration based on the abnormal vibration data, leading to inaccurate test results.

[0006] This invention provides a method for determining the cause of a single abnormal vibration during actual vehicle operation, comprising:

[0007] Several sets of experimental vibration data of vehicles in the front-back, left-right, and up-down directions during driving were obtained for a single known cause of abnormal vibration. Fourier transform was used to convert the experimental vibration data into an experimental waterfall plot. Based on the experimental waterfall plot, the experimental vibration order and the amplitude ratio of the vibration in the front-back, left-right, and up-down directions during driving were obtained.

[0008] A corresponding relationship table is constructed based on the magnitude relationship of experimental vibration orders and the corresponding causes of abnormal vibrations. The scoring rules are determined based on the corresponding relationship table, experimental vibration orders, and amplitude proportions.

[0009] Real-time vibration data of the vehicle under test in the front-back, left-right, and up-down directions during the vehicle's operation is collected. The real-time vibration data is converted into a real-time waterfall plot based on Fourier transform. The real-time vibration order and the percentage of real-time amplitude of the vehicle under test in the front-back, left-right, and up-down directions during the vehicle's operation are obtained from the real-time waterfall plot.

[0010] Possible causes of abnormal vibration are determined based on the real-time vibration order and the corresponding relationship table. A vibration score is calculated based on the scoring rules, the real-time vibration order, and the proportion of real-time amplitude. The cause of abnormal vibration is determined based on the vibration score.

[0011] As a preferred technical solution for determining the cause of a single abnormal vibration during actual vehicle operation, the causes of the abnormal vibration include: uneven tread wear, tire dynamic imbalance, damage to the cord layer or tire carcass, abnormal tread pitch, abnormal air pressure, tire eccentricity, wheel hub deformation, wheel hub bolt problems, bearing damage, four-wheel alignment deviation, suspension looseness, and steering system failure.

[0012] As a preferred technical solution for determining the cause of a single abnormal vibration during actual vehicle operation, the method involves converting experimental vibration data into an experimental waterfall plot using Fourier transform, and obtaining the experimental vibration order and amplitude proportions in the front-back, left-right, and up-down directions of the vehicle during operation based on the experimental waterfall plot, including:

[0013] The experimental data were frequency domain transformed using Fourier transform to generate a three-dimensional experimental waterfall plot of frequency-time-vibration amplitude.

[0014] The peak values ​​in the front-back, left-right, and up-down directions of the experimental waterfall diagram are collected. The maximum peak values ​​in the front-back, left-right, and up-down directions are extracted respectively, and the vibration order in the front-back, left-right, and up-down directions is calculated respectively. The magnitude relationship of the vibration order is determined based on the vibration order in the front-back, left-right, and up-down directions.

[0015] Calculate the sum of the amplitudes of the maximum peak values ​​in the front-back, left-right, and up-down directions and record it as the total amplitude. Calculate the ratio of the amplitude of the maximum peak values ​​in the front-back, left-right, and up-down directions to the total amplitude and record it as the amplitude percentage.

[0016] As a preferred technical solution for determining the cause of a single abnormal vibration during actual vehicle operation, the step of constructing a correspondence table based on the magnitude relationship of experimental vibration orders and the corresponding causes of abnormal vibration includes:

[0017] The corresponding relationship table has several sets of data fields. Each set of data fields includes: the cause of abnormal vibration and the corresponding vibration order of the vehicle in the front-back, left-right and up-down directions during the driving process, the relationship between the vibration order and the amplitude ratio in the front-back, left-right and up-down directions, and the corresponding interval.

[0018] As a preferred technical solution for determining the cause of a single abnormal vibration during actual vehicle operation, the scoring rules are determined based on a correspondence table, the experimental vibration order, and the amplitude ratio. The determination of the scoring rules includes the following steps:

[0019] Select several vibration causes with the same vibration order magnitude from the corresponding relationship table;

[0020] Obtain the experimental vibration order and amplitude percentage corresponding to each abnormal vibration cause, and determine the scoring rules based on the experimental vibration order and amplitude percentage corresponding to each abnormal vibration cause, so that the score range corresponding to each abnormal vibration cause is different.

[0021] As a preferred technical solution for determining the cause of a single abnormal vibration during actual vehicle operation, the step of determining possible causes of abnormal vibration based on the real-time vibration order and the corresponding relationship table, calculating a vibration score based on the scoring rules, the real-time vibration order, and the real-time amplitude ratio, and determining the cause of abnormal vibration based on the vibration score includes:

[0022] The magnitude relationship of the real-time vibration order is determined based on the real-time vibration order, and the corresponding scoring rules and the scoring intervals corresponding to each possible cause of abnormal vibration are determined in the corresponding relationship table based on the magnitude relationship of the real-time vibration order.

[0023] Calculate the current vibration score according to the scoring rules;

[0024] The current vibration score is compared with the score intervals corresponding to each possible cause of abnormal vibration. If the current vibration score matches the score interval, then the cause of abnormal vibration is the possible cause of abnormal vibration corresponding to the score interval that matches the current vibration score.

[0025] As a preferred technical solution for determining the cause of a single abnormal vibration during actual vehicle operation, the method involves acquiring several sets of experimental vibration data of the vehicle in the front-back, left-right, and up-down directions during operation for known single abnormal vibration causes, and performing standardized preprocessing on the experimental vibration data. The standardized preprocessing includes converting the experimental vibration data into a 16-bit digital signal and removing interference data with abrupt amplitude changes using a median filtering algorithm, so that the signal-to-noise ratio of the preprocessed data is greater than or equal to 35dB.

[0026] As a preferred technical solution for determining the cause of a single abnormal vibration during actual vehicle operation, the acquisition of peak values ​​in the front-back, left-right, and up-down directions in the experimental waterfall plot includes:

[0027] Use a peak detection algorithm to identify effective peak values ​​in each direction;

[0028] In response to the existence of multiple valid peaks in the same direction, the amplitude ratio of each peak is calculated, and the peak with the highest amplitude ratio is taken as the peak in that direction;

[0029] A peak value is considered a valid peak value if it meets all of the following conditions:

[0030] The peak amplitude is greater than or equal to twice the average amplitude in that direction;

[0031] The duration is greater than or equal to three sampling periods.

[0032] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention acquires experimental vibration data of vehicles in three directions (front-back, left-right, and up-down) during driving, based on known causes of abnormal vibration. This data is then converted into experimental waterfall plots using Fourier transform. The waterfall plots identify the vibration order and amplitude percentage in each direction during vehicle movement, establishing a corresponding relationship table. This table contains several data fields, each including the corresponding cause of abnormal vibration, the vibration order in each direction, the magnitude relationship of the vibration orders, and the amplitude percentage in each direction. Several data fields with the same magnitude relationship of vibration orders are obtained from the relationship table. Scoring rules are determined based on the data in each field, ensuring that each cause of abnormal vibration corresponds to a specific score range. The relationship table is then searched based on the magnitude relationship of vibration orders during actual driving to identify abnormal vibration causes that satisfy this relationship. Vibration scores are calculated using the scoring rules corresponding to the magnitude relationships of vibration orders. These scores are then compared with the corresponding score ranges in the relationship table to determine the cause of the abnormal vibration. In the process of determining the cause of abnormal vibration, computer software can be used to automate the process, reduce the impact of human factors on the test results, shorten the time for determining the cause of abnormal vibration, and improve the test efficiency.

[0033] Furthermore, the technical solution of the present invention is based on vibration data obtained in the front-to-back, left-to-right, and up-down directions during actual vehicle driving. It does not require tire removal, avoids the problem of offline laboratory testing methods being out of touch with actual conditions, and increases the accuracy of determining the cause of a single abnormal vibration. Attached Figure Description

[0034] Figure 1 This is a flowchart illustrating the steps of a method for determining the cause of a single abnormal vibration during actual vehicle operation, as described in an embodiment of the present invention. Detailed Implementation

[0035] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0036] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0037] Please see Figure 1 The diagram shows a flowchart of the steps in a method for determining the cause of a single abnormal vibration during actual vehicle operation, according to an embodiment of the present invention. The steps include:

[0038] Step S1: Obtain experimental vibration data of the vehicle in the front-back, left-right, and up-down directions during driving for several sets of known single abnormal vibration causes. Use Fourier transform to convert the experimental vibration data into an experimental waterfall plot. Based on the experimental waterfall plot, obtain the experimental vibration order and amplitude ratio of the vehicle in the front-back, left-right, and up-down directions during driving.

[0039] Step S2: Construct a corresponding relationship table based on the magnitude relationship of experimental vibration orders and the corresponding causes of abnormal vibrations; determine the scoring rules based on the corresponding relationship table, experimental vibration orders, and amplitude proportions.

[0040] Step S3: Real-time vibration data of the vehicle under test in the front-back, left-right, and up-down directions during the vehicle's operation is collected. The real-time vibration data is converted into a real-time waterfall plot according to the Fourier transform. The real-time vibration order of the vehicle under test in the front-back, left-right, and up-down directions during the vehicle's operation is obtained from the real-time waterfall plot.

[0041] Step S4: Determine possible causes of abnormal vibration based on the real-time vibration order and the corresponding relationship table; calculate the vibration score based on the scoring rules, the real-time vibration order, and the proportion of real-time amplitude; and determine the cause of abnormal vibration based on the vibration score.

[0042] In practice, vibration electrical signals are collected by vibration acceleration sensors installed on the vehicle's lower suspension rocker arms, suspension, or other locations requiring measurement, in the vehicle's forward / backward, left / right, and up / down directions during operation, generating raw time-domain signal data. The raw time-domain signal data collected by the vibration acceleration sensors is then processed in real-time and converted into a waterfall plot using pre-set data processing equipment or software. In this embodiment, a Siemens noise and vibration device installed on the vehicle is used to process and store the raw time-domain signal data collected by the vibration acceleration sensors in real-time. This Siemens noise and vibration device also controls parameters such as sampling period, sampling frequency, and domain width. The data stored in the Siemens noise and vibration device is then converted into a waterfall plot using Simcenter Testlab software installed on a computer and the FFT (Fourier Transform) algorithm. In this embodiment of the invention, the data acquisition conditions are: standard asphalt road surface, neutral (N) gear coasting speed of 80-120 km / h, acquisition duration greater than or equal to 30 seconds, and sampling frequency of 2000 Hz or higher. Since the vehicle is coasting in neutral gear, its speed gradually decreases within the 80-120 km / h range. During this gradual decrease, vibration electrical signals in three directions are continuously acquired and corresponding waterfall diagrams are generated. If, during the gradual decrease in vehicle speed, a point on the waterfall diagram in a certain direction has a vibration frequency greater than a preset frequency, it is determined that the tire is experiencing abnormal vibration. The preset frequency is determined based on actual conditions. In this embodiment, the preset frequency is the maximum value of the vibration frequency at the corresponding vehicle speed during tire operation when no abnormal vibration is present. The tire rotation speed is calculated using data such as vehicle speed and tire rolling circumference recorded synchronously by computer software. The formula for calculating the vibration order n is: in: The peak value in the waterfall chart corresponds to the frequency in Hz. This refers to the tire's rolling circumference, expressed in meters. The vehicle speed is expressed in meters per second. The calculation of the experimental vibration order and the real-time vibration order differs only in the values ​​substituted; the calculation formula and process are the same as those for calculating the vibration order. The calculation process for the amplitude ratio includes: calculating the sum of the amplitudes of the peak values ​​in the front-back, left-right, and up-down directions and recording it as the total amplitude; and calculating the proportion of the peak values ​​in the front-back, left-right, and up-down directions in the total amplitude and recording it as the amplitude ratio.

[0043] Furthermore, this invention acquires experimental vibration data of vehicles in three directions (front-back, left-right, and up-down) during driving, based on known causes of abnormal vibration. This data is then converted into experimental waterfall plots using Fourier transform. The waterfall plots identify the vibration order and amplitude percentage in each direction during driving, establishing a corresponding relationship table. This table contains several data fields, each including the corresponding cause of abnormal vibration, the vibration order in each direction, the magnitude relationship of the vibration orders, and the amplitude percentage in each direction. Several data fields with the same vibration order magnitude relationship are selected from the table. Scoring rules are determined based on the data in each field, ensuring that each abnormal vibration cause corresponds to a specific score range. The table is then searched based on the magnitude relationship of the vibration orders during actual driving to identify abnormal vibration causes that satisfy this relationship. Vibration scores are calculated using the scoring rules corresponding to the vibration order magnitude relationship. These scores are then compared with the corresponding score ranges in the table to determine the cause of the abnormal vibration. In the process of determining the cause of abnormal vibration, computer software can be used to automate the process, reduce the impact of human factors on the test results, shorten the time for determining the cause of abnormal vibration, and increase the test efficiency.

[0044] Furthermore, the causes of abnormal vibration include: uneven tread wear, tire dynamic imbalance, damage to the cord layer or tire carcass, abnormal tread pitch, abnormal air pressure, tire eccentricity, wheel hub deformation, wheel hub bolt problems, bearing damage, four-wheel alignment deviation, loose suspension, and steering system failure.

[0045] It should be noted that the criteria for determining the cause of abnormal vibration are determined based on the actual situation. In this embodiment, the criteria for determining the cause of abnormal vibration are as follows:

[0046] Uneven tread wear: The wear on one side of the tread is greater than or equal to 3mm;

[0047] Tire dynamic imbalance: The amount of dynamic imbalance of the tire is greater than or equal to ;

[0048] Cord layer or carcass damage: exposed cord layer on the sidewall, and more than two bulges with a diameter greater than 2 cm on the carcass;

[0049] Abnormal tread pattern pitch: The deviation of the tread pattern pitch is greater than or equal to 10% (for example, if the standard pitch is 5cm, a deviation greater than or equal to 0.5cm is considered an abnormal tread pattern pitch).

[0050] Abnormal tire pressure: Tire pressure is 30% lower than the standard value;

[0051] Tire eccentricity: The radial runout of the tire is greater than or equal to 0.5 mm;

[0052] Wheel hub deformation: The radial runout of the wheel hub is greater than or equal to 0.3mm;

[0053] Wheel hub bolt issues: Insufficient preload of wheel hub bolts, loose bolts, inconsistent bolt lengths;

[0054] Bearing damage: There is a gap in the hub bearing, which is greater than or equal to 0.2mm and is accompanied by abnormal noise when rotating;

[0055] Four-wheel alignment deviation: Front wheel toe-in deviation is greater than or equal to 0.5°;

[0056] Suspension looseness: The lower control arm ball joint is loose, with a clearance greater than or equal to 0.3mm;

[0057] Steering system malfunction: The steering tie rod ball joint is loose, with a clearance greater than or equal to 0.2 mm.

[0058] Furthermore, Fourier transform was used to convert the experimental vibration data into an experimental waterfall plot. Based on the waterfall plot, the experimental vibration order and the amplitude proportions in the front-back, left-right, and up-down directions of the vehicle during operation were obtained, including:

[0059] Fourier transform was used to perform frequency domain transformation on the experimental data to generate a three-dimensional experimental waterfall plot of frequency-time-vibration amplitude.

[0060] The peak values ​​in the front-back, left-right, and up-down directions of the experimental waterfall diagram are collected. The maximum peak values ​​in the front-back, left-right, and up-down directions are extracted respectively, and the vibration order in the front-back, left-right, and up-down directions is calculated respectively. The magnitude relationship of the vibration order is determined based on the vibration order in the front-back, left-right, and up-down directions.

[0061] Calculate the sum of the amplitudes of the maximum peak values ​​in the front-back, left-right, and up-down directions and record it as the total amplitude. Calculate the ratio of the amplitude of the maximum peak values ​​in the front-back, left-right, and up-down directions to the total amplitude and record it as the amplitude percentage.

[0062] It should be noted that the order of vibration orders is based on the order of vibration orders in the front-back, left-right, and up-down directions. For example, if the vibrations in the front-back, left-right, and up-down directions end at order 3, 2, and 1 respectively, then the order of vibration orders is front-back > left-right > up-down. Those skilled in the art will understand that the same order of vibration orders may correspond to multiple causes of abnormal vibration. A scoring rule assigns a corresponding score range to each cause of abnormal vibration. By calculating the current vibration score, the corresponding score range is determined, and the corresponding cause of abnormal vibration is determined based on the score range.

[0063] Furthermore, a corresponding relationship table was constructed based on the magnitude relationship of the experimental vibration orders and the corresponding causes of abnormal vibrations, including:

[0064] The corresponding relationship table contains several sets of data fields. Each set of data fields includes: the cause of abnormal vibration and the corresponding vibration order of the vehicle in the front-back, left-right, and up-down directions during driving, the relationship between the vibration order and the amplitude ratio in the front-back, left-right, and up-down directions, and the corresponding interval.

[0065] Furthermore, this invention establishes a corresponding relationship table by setting several sets of data fields, each set including the corresponding cause of abnormal vibration, the vibration order in each direction, the relationship between the vibration orders, and the amplitude ratio in each direction. The system can then retrieve data from the corresponding relationship table based on the relationship between the vibration orders during actual driving, thereby shortening the diagnosis time during real-time diagnosis.

[0066] Furthermore, the scoring rules are determined based on the correspondence table, the experimental vibration order, and the amplitude proportion. The determination of the scoring rules includes the following steps:

[0067] Select several vibration causes that have the same relationship between vibration orders from the corresponding relationship table;

[0068] Obtain the experimental vibration order and amplitude percentage corresponding to each abnormal vibration cause, and determine the scoring rules based on the experimental vibration order and amplitude percentage corresponding to each abnormal vibration cause, so that the score range corresponding to each abnormal vibration cause is different.

[0069] It should be noted that the scoring rules can be calculated by following multi-dimensional interval coverage scoring rules, normalizing the experimental vibration order and amplitude ratio corresponding to each abnormal vibration cause and assigning corresponding weight coefficients, and constructing feature vectors based on the experimental order and amplitude ratio of each abnormal vibration cause. The scoring process is based on existing technology, which can satisfy that several vibration causes with the same vibration order have specific, non-overlapping scoring intervals. Furthermore, the scoring rules can be configured by computer, so the specific content of the scoring rules is not limited here.

[0070] Furthermore, this invention determines the scientific validity and rationality of interval division based on experimental data, avoiding the ambiguity of rules or deviation from actual conditions caused by artificially determined rules. Moreover, the score intervals calculated according to the scoring rules do not overlap with each other, ensuring the uniqueness of the result of determining the cause of abnormal vibration based on the score and improving the accuracy of the diagnostic results.

[0071] In detail, possible causes of abnormal vibration are determined based on the real-time vibration order and corresponding relationship table. Vibration scores are calculated according to scoring rules, real-time vibration order, and the proportion of real-time amplitude. The causes of abnormal vibration are then determined based on the vibration scores, including:

[0072] The magnitude relationship of the real-time vibration order is determined based on the real-time vibration order. The corresponding scoring rules and the scoring intervals corresponding to each possible cause of abnormal vibration are determined in the corresponding relationship table based on the magnitude relationship of the real-time vibration order.

[0073] Calculate the current vibration score according to the scoring rules;

[0074] The current vibration score is compared with the score intervals corresponding to each possible cause of abnormal vibration. If the current vibration score matches the score interval, the cause of abnormal vibration is the possible cause of abnormal vibration corresponding to the score interval that matches the current vibration score.

[0075] Furthermore, this invention determines the corresponding scoring rules based on experimental data, thereby accurately scoring the abnormal vibration causes with the same vibration order and the vibration scores calculated according to the corresponding scoring rules. In actual detection, the calculated vibration scores can be quickly matched with the vibration causes, shortening the time required to determine the causes of abnormal vibrations.

[0076] Furthermore, several sets of experimental vibration data of vehicles with known single abnormal vibration causes in the front-back, left-right, and up-down directions during driving were obtained. The experimental vibration data were then subjected to standardized preprocessing, which included converting the experimental vibration data into 16-bit digital signals and removing interference data with abrupt amplitude changes using a median filtering algorithm, so that the signal-to-noise ratio of the preprocessed data was greater than or equal to 35dB.

[0077] In practice, the experimental vibration data collected by the triaxial vibration sensor is an analog voltage signal, which is converted into a 16-bit digital signal by the A / D conversion module of the data acquisition unit.

[0078] Furthermore, the peak values ​​in the real-time waterfall plot are collected in three directions: front-back, left-right, and up-down, including:

[0079] Use a peak detection algorithm to identify effective peak values ​​in each direction;

[0080] In response to the existence of multiple valid peaks in the same direction, the amplitude ratio of each peak is calculated, and the peak with the highest amplitude ratio is taken as the peak in that direction;

[0081] A peak value is considered a valid peak value if it meets all of the following conditions:

[0082] The peak amplitude is greater than or equal to twice the average amplitude in that direction;

[0083] The duration is greater than or equal to three sampling periods.

[0084] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art can make other variations or modifications based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A method for determining a single abnormal vibration cause during actual vehicle travel, characterized by, The application relates to a method for detecting abnormal vibration reasons of a vehicle. Obtaining experimental vibration data of vehicles with known single abnormal vibration reasons in front-rear, left-right and up-down directions during driving, converting the experimental vibration data into experimental waterfall diagrams by using Fourier transform, obtaining experimental vibration orders of the vibrations of the vehicles in the front-rear, left-right and up-down directions during driving and amplitude proportion of the vibrations in the front-rear, left-right and up-down directions according to the experimental waterfall diagrams; According to the size relationship of the experimental vibration orders and the corresponding abnormal vibration reasons, a corresponding relationship table is constructed, and a scoring rule is determined according to the corresponding relationship table, the experimental vibration orders and the amplitude proportion; Real-time vibration data of a vehicle to be detected in front-rear, left-right and up-down directions during driving is collected, real-time waterfall diagrams are obtained by converting the real-time vibration data into the real-time waterfall diagrams according to Fourier transform, and real-time vibration orders of the vibrations of the vehicle to be detected in the front-rear, left-right and up-down directions during driving and real-time amplitude proportion are obtained according to the real-time waterfall diagrams; Possible abnormal vibration reasons are determined according to the real-time vibration orders and the corresponding relationship table, vibration scores are calculated according to the scoring rule, the real-time vibration orders and the real-time amplitude proportion, and the abnormal vibration reasons are determined according to the vibration scores.

2. The method for determining a single abnormal vibration cause during actual running according to claim 1, characterized by, The abnormal vibration reasons include uneven tire tread wear, tire dynamic imbalance, cord layer or tire body damage, abnormal pattern pitch, abnormal air pressure, tire eccentricity, hub deformation, hub bolt problems, bearing damage, four-wheel positioning deviation, suspension loosening and steering system failure.

3. The method for determining a single abnormal vibration cause during actual running according to claim 2, characterized by, The experimental vibration data is converted into experimental waterfall diagrams by using Fourier transform, and experimental vibration orders of the vibrations of the vehicles in the front-rear, left-right and up-down directions during driving and amplitude proportion of the vibrations in the front-rear, left-right and up-down directions are obtained according to the experimental waterfall diagrams. The experimental vibration data is converted into experimental waterfall diagrams by using Fourier transform, and experimental vibration orders of the vibrations of the vehicles in the front-rear, left-right and up-down directions during driving and amplitude proportion of the vibrations in the front-rear, left-right and up-down directions are obtained according to the experimental waterfall diagrams. The corresponding relationship table is constructed according to the size relationship of the experimental vibration orders and the corresponding abnormal vibration reasons. The corresponding relationship table is constructed according to the size relationship of the experimental vibration orders and the corresponding abnormal vibration reasons.

4. The method for determining a single abnormal vibration cause during actual running according to claim 3, characterized by, The scoring rule is determined according to the corresponding relationship table, the experimental vibration orders and the amplitude proportion, and the scoring rule determination comprises the following steps: A plurality of vibration reasons with the same vibration order size relationship in the corresponding relationship table are selected.

5. The method for determining a single abnormal vibration cause during actual running according to claim 1, characterized by, ​ ​ The experimental vibration order and amplitude ratio corresponding to each abnormal vibration cause are obtained, and a scoring rule is determined according to the experimental vibration order and amplitude ratio corresponding to each abnormal vibration cause, so that the scoring intervals corresponding to each abnormal vibration cause are different.

6. The method for determining a single abnormal vibration cause during actual running according to claim 5, characterized by, The possible abnormal vibration causes are determined according to the real-time vibration order and the corresponding relationship table, the vibration score is calculated according to the scoring rule, the real-time vibration order and the real-time amplitude ratio, the abnormal vibration cause is determined according to the vibration score, and the method comprises the following steps: The size relationship of the real-time vibration order is determined according to the real-time vibration order, and the corresponding scoring rule and the scoring interval corresponding to each possible abnormal vibration cause are determined in the corresponding relationship table according to the size relationship of the real-time vibration order; The current vibration score is calculated according to the scoring rule; The current vibration score is compared with the scoring interval corresponding to each possible abnormal vibration cause, and if the current vibration score and the scoring interval are consistent, the abnormal vibration cause is the possible abnormal vibration cause corresponding to the scoring interval consistent with the current vibration score.

7. The method for determining a single abnormal vibration cause during actual running according to claim 6, characterized by, The experimental vibration data of vehicles with known single abnormal vibration causes in front, back, left, right, up and down directions during driving is obtained, and the experimental vibration data is standardized and pretreated, wherein the standardized pretreatment comprises: converting the experimental vibration data into 16-bit digital signals, and removing interference data with sudden amplitude change through a median filtering algorithm, so that the signal-to-noise ratio of the pretreated data is greater than or equal to 35 dB.

8. The method for determining a single abnormal vibration cause during actual running according to claim 3, characterized by, The peak values in the front, back, left, right, up and down directions of the experimental waterfall chart are collected, comprising: An effective peak value in each direction is identified using a peak value detection algorithm; In response to the existence of multiple effective peak values in the same direction, the amplitude ratio corresponding to each peak value is calculated, and the peak value with the highest amplitude ratio is taken as the peak value in the direction; The following conditions are met simultaneously to determine that the peak value is an effective peak value: The peak value amplitude is greater than or equal to twice the average amplitude in the direction; The duration is greater than or equal to three sampling periods.

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