CN104679926A - Method and system for evaluating shaking caused by braking of automobile - Google Patents
Method and system for evaluating shaking caused by braking of automobile Download PDFInfo
- Publication number
- CN104679926A CN104679926A CN201310635177.4A CN201310635177A CN104679926A CN 104679926 A CN104679926 A CN 104679926A CN 201310635177 A CN201310635177 A CN 201310635177A CN 104679926 A CN104679926 A CN 104679926A
- Authority
- CN
- China
- Prior art keywords
- vibration data
- characteristic parameter
- vibration
- data
- mean
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Abstract
The invention discloses a method and a system for evaluating shaking caused by braking of an automobile. The method comprises the steps of acquiring vibration data generated by braking of the automobile, generating feature parameters according to the vibration data; obtaining scoring grade of shaking according to the feature parameters through a regression equation, wherein the regression equation can be obtained from a basic database; the basic database is used for storing the feature parameters obtained from the test and the corresponding specified scoring grade.
Description
Technical field
The present invention relates to CALCULATION OF VEHICLE RIDING, and the method and system of the shake produced when particularly relating to assessment automobile brake.
Background technology
Automobile brake shake is the embodiments of the vibration environment of automobile in braking procedure residing for occupant.At present the assessment of brake judder is only relied on to the subjective scoring of indivedual appraiser.But owing to there is individual difference, different to the susceptibility of vibration, therefore subjective scoring can not react level and the feature of brake judder preferably, there is certain limitation.Therefore need a kind of method and system of the shake produced when assessing automobile brake, it scientifically can evaluate brake judder.
Summary of the invention
According to one object of the present invention, disclose a kind of method of the shake produced when assessing automobile brake, comprise the following steps:
The vibration data produced when gathering automobile brake,
Characteristic parameter is produced from this vibration data,
Application regression equation obtains the grading system of shaking from this characteristic parameter, wherein, this regression equation produces from basic database, and this basic data library storage is by testing the characteristic parameter and corresponding appointed grading system that obtain.
Preferably, described vibration data is steering wheel vibration data, brake pedal vibration data, one or more in floor vibration data.
Preferably, the corresponding human body position of described vibration data.
Preferably, described vibration data is vibration acceleration.
Preferably, characteristic parameter is produced by following steps from vibration acceleration:
Calculate the auto-power spectrum of vibration acceleration,
Calculate the 1/3 octave component root-mean-square value of this auto-power spectrum,
Characteristic parameter is obtained to this 1/3 octave component root-mean-square value applying frequency weighting function.
According to one object of the present invention, disclose a kind of system of the shake produced when assessing automobile brake, comprising:
Collecting unit, the vibration data produced during for gathering automobile brake,
First computing unit, for producing characteristic parameter from this vibration data,
Second computing unit, its application regression equation obtains the grading system of shaking from this characteristic parameter, wherein, this regression equation produces from basic database, and
Basic database, this basic data library storage is by testing the characteristic parameter and corresponding appointed grading system that obtain.
Preferably, described vibration data is steering wheel vibration data, brake pedal vibration data, one or more in floor vibration data.
Preferably, the corresponding human body position of described vibration data.
Preferably, described vibration data is vibration acceleration.
Preferably, described first computing unit produces characteristic parameter by following steps from vibration acceleration:
Calculate the auto-power spectrum of vibration acceleration,
Calculate the 1/3 octave component root-mean-square value of this auto-power spectrum,
Characteristic parameter is obtained to this 1/3 octave component root-mean-square value applying frequency weighting function.
Accompanying drawing explanation
After having read the specific embodiment of the present invention with reference to accompanying drawing, those skilled in the art will become apparent various aspects of the present invention.One skilled in the art will appreciate that these accompanying drawings only for coordinating embodiment that technical scheme of the present invention is described, and and be not intended to be construed as limiting protection scope of the present invention.
The step schematic diagram of the method for the shake that Fig. 1 produces when being the assessment automobile brake according to the embodiment of the present invention.
The structural representation of the system of the shake that Fig. 2 produces when being the assessment automobile brake according to the embodiment of the present invention.
Embodiment
With reference to the accompanying drawings, the specific embodiment of the present invention is described in further detail.In the following description, in order to the object explained, state many details to provide the thorough understanding of the one or more aspects to embodiment.But, can it is evident that for those skilled in the art, the less degree of these details can come one or more aspects of practicing various embodiments.Therefore the description below is not regarded as circumscribed, but limits protection domain by claims.
The step schematic diagram of the method for the shake that Fig. 1 produces when being the assessment automobile brake according to the embodiment of the present invention.As shown in the figure, the method comprising the steps of S100-S300.
S100: the vibration data produced when gathering automobile brake.Such as, described vibration data can be steering wheel vibration data, brake pedal vibration data, one or more in floor vibration data.Vibration data can correspond to human body position, the bearing circle rotational vibration that such as both hands are experienced, and collects together before and after the flutter of the brake pedal that feel is subject to or vehicle body.
S200: produce characteristic parameter from this vibration data.In one example, vibration data is vibration acceleration, and the frequency such as gathering vibration acceleration can be 2000Hz.In one example, characteristic parameter can be produced by following steps from vibration acceleration:
S201: the auto-power spectrum calculating vibration acceleration.
S202: the 1/3 octave component root-mean-square value calculating this auto-power spectrum.
S203: characteristic parameter is obtained to this 1/3 octave component root-mean-square value applying frequency weighting function.The sensitivity that frequency weighting reflection human body vibrates different frequency.In one case, can classify to 1/3 octave component root-mean-square value according to human body position, then frequency weighting is carried out to the 1/3 octave component root-mean-square value of classification, thus obtain the characteristic parameter that associates with specific human body position.
S300: application regression equation obtains the grading system of shaking from this characteristic parameter.Wherein, this regression equation produces from basic database, and this basic data library storage is by testing the characteristic parameter and corresponding appointed grading system that obtain.Such as, the data of basic database storing frequencies weighted root mean square and scoring, as at 2m/s
2frequency weighting root-mean-square value correspondence scoring be 7.
The structural representation of the system of the shake that Fig. 2 produces when being the assessment automobile brake according to the embodiment of the present invention.As shown in the figure, the system of the shake produced when assessing automobile brake comprises collecting unit, the first computing unit, the second computing unit and basic database.
Collecting unit, the vibration data produced during for gathering automobile brake, first computing unit, for producing characteristic parameter from this vibration data, second computing unit, its application regression equation obtains the grading system of shaking from this characteristic parameter, wherein, this regression equation produces from basic database, and this basic data library storage is by testing the characteristic parameter and corresponding appointed grading system that obtain.
In a technical scheme, described first computing unit produces characteristic parameter by following steps from vibration acceleration:
Calculate the auto-power spectrum of vibration acceleration,
Calculate the 1/3 octave component root-mean-square value of this auto-power spectrum,
Characteristic parameter is obtained to this 1/3 octave component root-mean-square value applying frequency weighting function.
By the description of above embodiment, those skilled in the art can understand, and when without departing from the spirit and scope of the present invention, can also do various change and replacement to the specific embodiment of the present invention.These change and replace and all drop in claims of the present invention limited range.
Claims (10)
1. a method for the shake produced when assessing automobile brake, is characterized in that, comprises the following steps:
The vibration data produced when gathering automobile brake,
Characteristic parameter is produced from this vibration data,
Application regression equation obtains the grading system of shaking from this characteristic parameter, wherein, this regression equation produces from basic database, and this basic data library storage is by testing the characteristic parameter and corresponding appointed grading system that obtain.
2. the method for claim 1, is characterized in that, described vibration data is steering wheel vibration data, brake pedal vibration data, one or more in floor vibration data.
3. the method for claim 1, is characterized in that, the corresponding human body position of described vibration data.
4. the method for claim 1, is characterized in that, described vibration data is vibration acceleration.
5. method as claimed in claim 4, is characterized in that, produce characteristic parameter by following steps from vibration acceleration:
Calculate the auto-power spectrum of vibration acceleration,
Calculate the 1/3 octave component root-mean-square value of this auto-power spectrum,
Characteristic parameter is obtained to this 1/3 octave component root-mean-square value applying frequency weighting function.
6. a system for the shake produced when assessing automobile brake, is characterized in that, comprising:
Collecting unit, the vibration data produced during for gathering automobile brake,
First computing unit, for producing characteristic parameter from this vibration data,
Second computing unit, its application regression equation obtains the grading system of shaking from this characteristic parameter, wherein, this regression equation produces from basic database, and
Basic database, this basic data library storage is by testing the characteristic parameter and corresponding appointed grading system that obtain.
7. system as claimed in claim 6, it is characterized in that, described vibration data is steering wheel vibration data, brake pedal vibration data, one or more in floor vibration data.
8. system as claimed in claim 6, is characterized in that, the corresponding human body position of described vibration data.
9. system as claimed in claim 6, it is characterized in that, described vibration data is vibration acceleration.
10. system as claimed in claim 9, it is characterized in that, described first computing unit produces characteristic parameter by following steps from vibration acceleration:
Calculate the auto-power spectrum of vibration acceleration,
Calculate the 1/3 octave component root-mean-square value of this auto-power spectrum,
Characteristic parameter is obtained to this 1/3 octave component root-mean-square value applying frequency weighting function.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310635177.4A CN104679926A (en) | 2013-12-03 | 2013-12-03 | Method and system for evaluating shaking caused by braking of automobile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310635177.4A CN104679926A (en) | 2013-12-03 | 2013-12-03 | Method and system for evaluating shaking caused by braking of automobile |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104679926A true CN104679926A (en) | 2015-06-03 |
Family
ID=53314966
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310635177.4A Pending CN104679926A (en) | 2013-12-03 | 2013-12-03 | Method and system for evaluating shaking caused by braking of automobile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104679926A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107525679A (en) * | 2016-06-21 | 2017-12-29 | 上汽通用汽车有限公司 | Test method for the braking shake evaluation of motor vehicle |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5345402A (en) * | 1992-02-25 | 1994-09-06 | Automotive Systems Laboratory, Inc. | Vehicle crash simulator system for testing crash sensors |
| CN101476933A (en) * | 2008-12-09 | 2009-07-08 | 西安交通大学 | Dynamic environment human-machine system vibration performance monitoring device |
| CN101672690A (en) * | 2009-09-27 | 2010-03-17 | 吉林大学 | Method for objectively and quantifiably evaluating noise fret degree in vehicle based on auditory model |
| CN202648904U (en) * | 2012-05-25 | 2013-01-02 | 上海第二工业大学 | Vehicle vibration test analysis system based on virtual instrument |
-
2013
- 2013-12-03 CN CN201310635177.4A patent/CN104679926A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5345402A (en) * | 1992-02-25 | 1994-09-06 | Automotive Systems Laboratory, Inc. | Vehicle crash simulator system for testing crash sensors |
| CN101476933A (en) * | 2008-12-09 | 2009-07-08 | 西安交通大学 | Dynamic environment human-machine system vibration performance monitoring device |
| CN101672690A (en) * | 2009-09-27 | 2010-03-17 | 吉林大学 | Method for objectively and quantifiably evaluating noise fret degree in vehicle based on auditory model |
| CN202648904U (en) * | 2012-05-25 | 2013-01-02 | 上海第二工业大学 | Vehicle vibration test analysis system based on virtual instrument |
Non-Patent Citations (2)
| Title |
|---|
| 中华人民共和国国家质量监督检验检疫总局中国国家标准化管理委员会: "《机械振动与冲击 人体暴露于全身振动的评价》", 30 April 2007 * |
| 马泽升，李鹏，宋德朝: "基于模糊综合评价法对汽车振动舒适性评价的研究", 《机械 设计与研究》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107525679A (en) * | 2016-06-21 | 2017-12-29 | 上汽通用汽车有限公司 | Test method for the braking shake evaluation of motor vehicle |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Fauriat et al. | Estimation of road profile variability from measured vehicle responses | |
| Wang et al. | Study of the factors affecting road roughness measurement using smartphones | |
| Nitsche et al. | Comparison of machine learning methods for evaluating pavement roughness based on vehicle response | |
| KR20190020097A (en) | Machine monitoring | |
| Stender et al. | Complex machine dynamics: systematic recurrence quantification analysis of disk brake vibration data | |
| Lee et al. | Objective evaluation of interior noise booming in a passenger car based on sound metrics and artificial neural networks | |
| CN112685836A (en) | Method for evaluating fatigue degree of welding spot of car body, storage medium and equipment | |
| Karen et al. | A design tool to evaluate the vehicle ride comfort characteristics: modeling, physical testing, and analysis | |
| Johannesson et al. | Laplace distribution models for road topography and roughness | |
| Chin et al. | Durability prediction of coil spring through multibody-dynamics-based strain generation | |
| Johnsson et al. | A new test track for automotive squeak and rattle (S&R) detection | |
| JP5180519B2 (en) | Vehicle sound quality evaluation apparatus and vehicle sound quality evaluation method | |
| CN104679926A (en) | Method and system for evaluating shaking caused by braking of automobile | |
| Holland et al. | Measurement point selection and modal damping identification for bladed disks | |
| Peng et al. | Research on the virtual reality of vibration characteristics in vehicle cabin based on neural networks | |
| CN102270249B (en) | Method for identifying characteristic frequency of parts | |
| Klapka et al. | Twilight of the EUSAMA diagnostic methodology | |
| Mange et al. | Identify challenges in vibration measurements for rotating tyres using a finite element model | |
| Tsokaktsidis et al. | Time domain full vehicle interior noise calculation from component level data by machine learning | |
| Senthil Kumar et al. | Vibration analysis and improvement of a vehicle chassis structure | |
| JP4844502B2 (en) | Vibration analysis system and vibration analysis method | |
| Taluja et al. | Methodology to Quantitatively Evaluate the Secondary Ride Characteristics of a Vehicle | |
| CN110807920B (en) | Emotion determining and reporting method and device for vehicle driving, server, terminal and vehicle | |
| JP2018063637A (en) | Parameter identification device | |
| Ogunoiki et al. | Characterisation of the effects of vehicle parameter variations on vehicle road load data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150603 |
|
| RJ01 | Rejection of invention patent application after publication |