CN104773155A - Initial failure diagnosis method for automobile braking system - Google Patents
Initial failure diagnosis method for automobile braking system Download PDFInfo
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- CN104773155A CN104773155A CN201510167522.5A CN201510167522A CN104773155A CN 104773155 A CN104773155 A CN 104773155A CN 201510167522 A CN201510167522 A CN 201510167522A CN 104773155 A CN104773155 A CN 104773155A
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- Prior art keywords
- automobile
- brake system
- car
- braking system
- diagnosis method
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
- B60T17/00—Component parts, details, or accessories of power brake systems not covered by groups B60T8/00, B60T13/00 or B60T15/00, or presenting other characteristic features
- B60T17/18—Safety devices; Monitoring
- B60T17/22—Devices for monitoring or checking brake systems; Signal devices
- B60T17/221—Procedure or apparatus for checking or keeping in a correct functioning condition of brake systems
Abstract
The invention discloses an initial failure diagnosis method for an automobile braking system. The method comprises the following specific steps: acquiring and analyzing the brake pedal displacement value x of an automobile in the running process of the automobile; acquiring and calculating an automobile acceleration value y (heading direction acceleration) corresponding to x; constructing and storing a (x, y) sample; continuously acquiring, calculating and storing in the running process of the automobile to obtain a plurality of (x, y) samples; fitting a plurality of (x, y) samples in a certain time period by adopting an exponential function y=a*bx+c; performing braking system degradation state classification on characteristic values (a, b and c) by using a trained support vector machine; judging whether or not the automobile braking system encounters an initial failure based on a degradation state classification result. According to the initial failure diagnosis method, an initial failure judgment is made according to the input and output of the braking system, so that the problem in safety traveling caused by failure of automobile braking can be well solved.
Description
Technical field
Patent of the present invention relates to a kind of brake system of car Incipient Fault Diagnosis method, particularly a kind of a kind of brake system of car Incipient Fault Diagnosis method based on car brakeing brief acceleration information change.
Background technology
Brake system is the key ensureing vehicle safe driving, and the traffic accident caused due to braking system faults occurs often.Most current vehicle all adopts regular method to carry out inspection and maintenance maintenance to brake system.But because car owner maintains not in place or subjective randomness, the daily service of motor vehicle braking system is often incured loss through delay or ignores, the very big potential safety hazard causing vehicle to use.Whether what existing vehicle had is provided with braking liquid sensor, but can only the storage of monitoring system hydrodynamic transfinite, and declines and the fault of other parts of brake system cannot detect for braking liquid quality.Therefore, need to monitor thus guarantee driving safety brake system function by new technological means.
Patent of invention " brake servo unit trouble diagnosing " (application publication number CN103818373A) proposes a kind of method for diagnosing faults of motor vehicle braking system servo-unit.Patent of invention " trouble-shooter of brake system and the method for diagnosing faults of brake system " (application publication number CN103786713A) can realize the trouble diagnosing of brake system vacuum pump.
Above-mentioned technology can only realize the trouble diagnosing of the section components of brake system of car, and cannot be used for the braking system faults detection and diagnosis of the current electronlmobil developed rapidly.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, providing a kind of brake system of car Incipient Fault Diagnosis method for finding the early fault of all kinds of brake system of car.
For realizing object of the present invention, the present invention is from the input information (i.e. brake pedal displacement) of brake system of car and output information (i.e. pickup, brake brief acceleration is negative value) start with, must to change this principle based on the brake system input information in failure phase or fault progression stage in early days and output information corresponding relation, utilize the method for data-driven to realize the Incipient Fault Diagnosis of brake system of car.
Concrete steps of the present invention are followed successively by:
Step a: the brake pedal shift value x of collection analysis automobile in vehicle traveling process;
Step b: gather and calculate pickup value y (working direction acceleration/accel) corresponding to x;
Step c: form and store (x, a y) sample;
Steps d: constantly gather in vehicle traveling process, calculate and store, obtains multiple (x, y) sample;
Step e: adopt exponential function y=a × b
xseveral (x, y) samples in+c matching a period of time;
Step f: utilize trained SVMs to carry out the classification of brake system deterioration state to eigenwert (a, b, c);
Step g: judge whether brake system of car occurs early fault based on deterioration state classification results.
Pickup value y of the present invention carries out analytical calculation based on GPS module or acceleration pick-up or automotive speed sensor to obtain, and is the automobile working direction acceleration/accel being parallel to road surface, instead of perpendicular to the acceleration/accel on road surface.
The present invention is a kind of brake system of car Incipient Fault Diagnosis method, the method utilizes when normal phase and the brake system of car work of early fault stage, the corresponding relation of its brake pedal shift value and accekeration changes this characteristic, realizes brake system of car Incipient Fault Diagnosis.The present invention not only can be suitable for the brake system Incipient Fault Diagnosis for all kinds of gasoline car, diesel-powered vehicle, also may be used for the brake system monitor of electronlmobil.
Accompanying drawing explanation
Fig. 1 is step schematic diagram of the present invention.
Detailed description of the invention
As shown in Figure 1, the present invention includes seven step: step a: the brake pedal shift value x of collection analysis automobile in vehicle traveling process; Step b: gather and calculate pickup value y (working direction acceleration/accel) corresponding to x; Step c: form and store (x, a y) sample; Steps d: constantly gather in vehicle traveling process, calculate and store, obtains multiple (x, y) sample; Step e: adopt exponential function y=a × b
xseveral (x, y) samples in+c matching a period of time; Step f: utilize trained SVMs to carry out the classification of brake system deterioration state to eigenwert (a, b, c); Step g: judge whether brake system of car occurs early fault based on deterioration state classification results.
Step a in this specific embodiment needs the shift value x gathering automobile brake pedal.Because brake request in vehicle traveling process is changeable, the action that chaufeur tramples automobile brake pedal causes brake pedal shift value also often to change.Therefore, on the basis considering automobile brake system speed of response, step a of the present invention is when brake pedal shift value non-zero when effective (trample brake pedal), and when this shift value stabilization time was more than 0.5 second, pickup average in corresponding this 0.5 second of collection analysis, is recorded as y.In this specific embodiment, when brake pedal shift value constant interval is less than 3mm, think that brake pedal shift value is stable.
In this specific embodiment, step b gathers and calculates pickup value y corresponding to x, refer to the acceleration/accel average (being called for short " working direction acceleration/accel ") being parallel to direction, road surface in stable 0.5 second of brake pedal shift value described in step a, namely the velocity amplitude of 0.5 second finish time deducts the velocity amplitude of 0.5 second start time, the difference obtained, again divided by 0.5, is y value.Because automobile is that generally, y is negative value in braking.Under rare occasion, automobile is in the descending stage and chaufeur braking is trampled comparatively light, therefore y be also likely on the occasion of.
Step c in this specific embodiment is by the x value that obtains in step a and corresponding y value, forms a sample (x, y), and suitably stores.
Steps d in this specific embodiment constantly repeats above-mentioned steps a, step b and step c in vehicle traveling process, obtains different multiple samples (x, y), and suitably store.
The step e of this specific embodiment adopts exponential function y=a × b
xseveral (x, y) samples in+c matching a period of time.Here " a period of time " is 100 hours running car time, is repeatedly the accumulation duration of running car time.
The step f of this specific embodiment utilizes SVMs to carry out the classification of brake system deterioration state to the stack features value (a, b, c) that the braking-distance figures in 100 of abovementioned steps e hours travelings draws.The correlation parameter of this SVMs has utilized the training of the brake system monitor historical data of a large amount of similar vehicle to determine.These monitoring historical datas are broadly representative for brake system each failure process tool, this SVMs can carry out tagsort, thus realize brake system " normal condition ", " early fault state " and " severe fault condition " carries out Classification and Identification.
The step g of this specific embodiment, based on the result of step f, provides deterioration state classification results, judges whether brake system of car occurs early fault, and makes corresponding warning to vehicle driver or maintainer.
Step e, step f, the step g of this specific embodiment also constantly repeat, thus can constantly realize brake system of car Incipient Fault Diagnosis in the motor live time cycle.
In vehicle traveling process, road surface fluctuating situation, road surface friction force and the gradient may often change.But the present invention starts with from the statistical information of brake system effect, to analyze in one period of long period the automobile brake brief acceleration feature of (this specific embodiment be running car 100 hours in), therefore go for the most of situation in vehicle traveling process.
The method step of this specific embodiment only make use of input information (brake pedal shift value) and the output information (pickup value) of brake system of car, therefore not by the restriction of brake system composition structure, all kinds of automobiles such as gasoline car, diesel-powered vehicle and electronlmobil can be applied to.
Claims (2)
1. a brake system of car Incipient Fault Diagnosis method, is characterized in that, its concrete steps are followed successively by:
Step a: the brake pedal shift value x of collection analysis automobile in vehicle traveling process;
Step b: gather and calculate pickup value y (working direction acceleration/accel) corresponding to x;
Step c: form and store (x, a y) sample;
Steps d: constantly gather in vehicle traveling process, calculate and store, obtains multiple (x, y) sample;
Step e: adopt exponential function y=a × b
xseveral (x, y) samples in+c matching a period of time;
Step f: utilize trained SVMs to carry out the classification of brake system deterioration state to eigenwert (a, b, c);
Step g: judge whether brake system of car occurs early fault based on deterioration state classification results.
2. a kind of brake system of car Incipient Fault Diagnosis method according to claim 1, is characterized in that, the accekeration y of automobile carries out analytical calculation based on GPS module or acceleration pick-up or automotive speed sensor to obtain.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510167522.5A CN104773155A (en) | 2015-04-01 | 2015-04-01 | Initial failure diagnosis method for automobile braking system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510167522.5A CN104773155A (en) | 2015-04-01 | 2015-04-01 | Initial failure diagnosis method for automobile braking system |
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| Publication Number | Publication Date |
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| CN104773155A true CN104773155A (en) | 2015-07-15 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201510167522.5A Withdrawn CN104773155A (en) | 2015-04-01 | 2015-04-01 | Initial failure diagnosis method for automobile braking system |
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| CN (1) | CN104773155A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105716874A (en) * | 2016-01-27 | 2016-06-29 | 浙江大学 | Remote brake diagnosis method |
| CN107921951A (en) * | 2015-08-28 | 2018-04-17 | 株式会社爱德克斯 | Abnormal detector |
| CN108367744A (en) * | 2015-12-16 | 2018-08-03 | 罗伯特·博世有限公司 | Run method, the controller of use for brake system and the braking system of automobile-use of motor vehicle |
| CN109278734A (en) * | 2018-08-31 | 2019-01-29 | 百度在线网络技术（北京）有限公司 | Vehicle safety control method, device, equipment, storage medium and vehicle |
| CN109916551A (en) * | 2019-03-28 | 2019-06-21 | 吉林大学 | A kind of braking quality detection method, device and electronic equipment |
| CN110712641A (en) * | 2019-09-26 | 2020-01-21 | 潍柴动力股份有限公司 | Method and device for detecting functional failure of brake component |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101311047A (en) * | 2008-05-04 | 2008-11-26 | 重庆邮电大学 | Vehicle anti-lock brake control method based on least squares support vector machine |
| CN103410892A (en) * | 2013-07-28 | 2013-11-27 | 浙江大学 | On-line method for detecting leakage and air-mixed hydraulic oil failure of hydraulic disc brake |
-
2015
- 2015-04-01 CN CN201510167522.5A patent/CN104773155A/en not_active Withdrawn
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101311047A (en) * | 2008-05-04 | 2008-11-26 | 重庆邮电大学 | Vehicle anti-lock brake control method based on least squares support vector machine |
| CN103410892A (en) * | 2013-07-28 | 2013-11-27 | 浙江大学 | On-line method for detecting leakage and air-mixed hydraulic oil failure of hydraulic disc brake |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107921951A (en) * | 2015-08-28 | 2018-04-17 | 株式会社爱德克斯 | Abnormal detector |
| CN107921951B (en) * | 2015-08-28 | 2020-05-05 | 株式会社爱德克斯 | Abnormality detection device |
| CN108367744A (en) * | 2015-12-16 | 2018-08-03 | 罗伯特·博世有限公司 | Run method, the controller of use for brake system and the braking system of automobile-use of motor vehicle |
| CN105716874A (en) * | 2016-01-27 | 2016-06-29 | 浙江大学 | Remote brake diagnosis method |
| CN109278734A (en) * | 2018-08-31 | 2019-01-29 | 百度在线网络技术（北京）有限公司 | Vehicle safety control method, device, equipment, storage medium and vehicle |
| CN109916551A (en) * | 2019-03-28 | 2019-06-21 | 吉林大学 | A kind of braking quality detection method, device and electronic equipment |
| CN110712641A (en) * | 2019-09-26 | 2020-01-21 | 潍柴动力股份有限公司 | Method and device for detecting functional failure of brake component |
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| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20150715 |
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