CN109446568A - Consider that the automobile reliability target load of road and driving behavior composes construction method - Google Patents
Consider that the automobile reliability target load of road and driving behavior composes construction method Download PDFInfo
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Abstract
The present invention discloses the automobile reliability target load spectrum construction method of a kind of consideration road and driving behavior, includes the following steps: 1, road is classified, and count the mileage and accounting of different kinds of roads type；2, each mark loading spectrum is constructed by operating condition, be divided at the uniform velocity, accelerate, deceleration straight-line travelling and at the uniform velocity Turning travel operating condition, for various operating conditions, unit mileage normal loading is constructed according to various speed (or acceleration/deceleration), then time history of the statistical unit mileage normal loading in mileage travelled, under different kinds of roads and operating condition situation, time-domain signal splicing is carried out, the target load spectrum under various operating conditions is obtained；3, various operating condition target loads spectrum is spliced, obtains family reliability objectives loading spectrum.The present invention has fully considered road type and user's driving behavior characteristic, improves the science and integrality of the building of ownership goal loading spectrum.
Description
Technical field
The present invention relates to the sides that vehicle reliability technology more particularly to a kind of user vehicle reliability objectives loading spectrum construct
Method.
Background technique
User vehicle reliability objectives loading spectrum be formulate test site or rack reliability test regulation basic data and
Target is matched, the safety and reliability of vehicle reliability test procedure, testing result and vehicle driving is directly affected.
The general real vehicle load measurement for carrying out certain mileage on typical road surface by one or several sample cars, then extrapolated using mileage
The methods of establish target load spectrum.Such method considers deficiency to driving behavior, road conditions of user etc., typical road surface
It is big to choose uncertainty, objectivity and representativeness are poor；Data collection cycle is long, at high cost, heavy workload, with running region
And the variation of operating condition, work need to be carried out again, poor for applicability.
User's driving behavior (such as different speeds, acceleration, deceleration, steering) and road irregularity are to influence vehicle driving
An important factor for load, general vehicle all configure GPS sensor, the GPS of the available affiliated all vehicles of enterprise supervision platform
Data (track and speed etc.) can carry out objective, comprehensive system to driving behavior, running region of vehicle etc. according to GPS data
Meter analysis, and data are real-time updates.Therefore, it is based on GPS statistical data, comprehensively considers user's driving behavior and road surface
Unevenness, constructs user vehicle reliability objectives loading spectrum, and the loading spectrum obtained in this case can be improved user vehicle
Reliability test accuracy has objectivity and representativeness, and convenient for updating, experimentation cost is greatly lowered.
Summary of the invention
In order to further increase the validity and representativeness of user vehicle reliability objectives loading spectrum, the purpose of the present invention is
It is proposed a kind of new user vehicle reliability objectives loading spectrum construction method, this method has comprehensively considered the main shadow of loading spectrum
The factor of sound: road roughness and user's driving behavior, so that the loading spectrum of building is more representative.
To achieve the above object, the present invention takes following technical scheme: a kind of automobile reliability of road and driving behavior
Target load composes construction method, includes the following steps:
S1, road is classified first, in accordance with customized mode, is accumulated by the GPS data of vehicle, statisticallys analyze certain
The mileage and accounting of different kinds of roads type in region；
S2, operating condition building target load spectrum is then pressed:
1) first by the uniform velocity, accelerate, deceleration straight-line travelling and at the uniform velocity several cases classification operating conditions of Turning travel；
2) for each operating condition, accordingly by conventional straight-line travelling speed/acceleration/deceleration, turning velocity model
It encloses, is equidistantly divided into several segments；
3) load that various segments under various operating conditions, different kinds of roads type are acquired using vehicle, constructs unit milepost
Quasi- load；
4) vehicle GPS data accumulation is utilized, various operating conditions in certain period, various under different kinds of roads type are statisticallyd analyze
The mileage travelled of segment, and calculate the ratio of the mileage travelled and the corresponding road type mileage of step S1；
5) by the various segment unit mileage normal loadings of acquisition, according to corresponding road type mileage accounting, various
The ratio of segment corresponding mileage travelled and road type mileage carries out time-domain signal splicing according to ownership goal total kilometrage,
Obtain the target load spectrum under various operating conditions；
S3, by user at the uniform velocity, accelerate, slow down and turn to etc. operating conditions target load spectrum be added, obtain user dependability target
Loading spectrum.
Further, under at the uniform velocity Turning travel operating condition, and it is subdivided into steering type by steering form and turning radius,
Unit mileage normal loading is refined by type is turned to.
The present invention takes above technical scheme, have the advantage that 1, fully considered road type distribution character and
User's driving behavior distribution character improves the science and integrality of the building of ownership goal loading spectrum.2, the GPS sample used
Notebook data amount improves the validity and objectivity of ownership goal load sufficiently and without interference from human factor.3, for examination sample
Vehicle, it is only necessary to which real vehicle acquisition is primary to form unit norm load, subsequent according to GPS data dynamic response user's operating condition
Variation is combined using the new statistical data of normal loading combination GPS and is then formed newly when needing to reformulate target load
Target load, do not need to re-start real train test, greatly reduce cost and period.
Detailed description of the invention
Fig. 1 is user vehicle target load building route map；
Fig. 2 a is the unit mileage at the uniform velocity normal loading example that speed is 10km/h on B grades of road surfaces；
Fig. 2 b is the unit mileage at the uniform velocity normal loading example that speed is 50km/h on B grades of road surfaces；
Fig. 2 c is the unit mileage at the uniform velocity normal loading example that speed is 120km/h on B grades of road surfaces；
Fig. 3 a is the ratio example that the mileage travelled of each velocity shooting on B grades of road surfaces accounts for corresponding road type mileage；
Fig. 3 b is the ratio example that the mileage travelled of each velocity shooting on C grades of road surfaces accounts for corresponding road type mileage；
Fig. 3 c is the ratio example that the mileage travelled of each velocity shooting on D grades of road surfaces accounts for corresponding road type mileage；
Fig. 4 is the load history example of hundred kilometers of mileages travelled of user.
Specific embodiment
The content for using mathematical expression method interpretation technical solution below, is expressed as follows:
1, road type is divided into n1 class according to road roughness or function, road type can be divided by function: press
Point out that " highway is divided into national highway, provincial highway, county by the status in its highway network according to " People's Republic of China's road law " Article 6
Road and township road, and it is divided into highway, Class I highway, Class II highway, Class III highway and Class IV highway by industrial grade.Specifically
The criteria for classifying is provided by Competent Authorities of Transport and Communications ".Road roughness in GB/T 7031-2005, " survey by mechanical oscillation pavement of road spectrum
Amount data report " in give A-H grade of road roughness grade divide regulations.
Utilize the mileage L of GPS data statistics different kinds of roads typei, and calculate each road type mileage and account for counted road
The ratio r of road total kilometragei:
2, then construct various driving cycle target loads spectrum, vehicle driving-cycle can be divided into straight line at the uniform velocity, accelerate, subtract
Speed and several operating conditions of turning.
1) the at the uniform velocity building of operating condition target load spectrum
Vehicle is equidistantly divided into n2 sections by feasible travel speed range, if travel speed range is 0-100km/h,
Be divided into one section by every interval 10km/h, then have a 0-10km/h, 10-20km/h, 20-30km/h ... 90-100km/h these
Velocity shooting.
The time domain load of each velocity shooting under real vehicle acquisition units mileage difference road type forms unit mileage and at the uniform velocity marks
Quasi- load, is denoted as Sij, i=1,2 ..., n1；J=1,2 ..., n2.Due to road type difference, each section of speed is also different, so
Unit mileage at the uniform velocity normal loading is also different under various situations.The difference of speed causes vehicle in unit mileage downward driving
The time it takes is also different, as shown in figs. 2 a-2 c, the unit mileage at the uniform velocity normal loading of three kinds of speed on B grades of road surfaces
Time domain is different.The time domain of unit mileage at the uniform velocity normal loading is different, and time used is not yet in entire accordingly mileage travelled
Together.
The mileage travelled that each velocity shooting on different road types is statisticallyd analyze using GPS data, is denoted as LS ij；
And the ratio for corresponding to road type mileage on different road types shared by the mileage travelled of each velocity shooting is calculated, remember
For pS ij:
pS ij=LS ij/Li；
Then formulating ownership goal total kilometres is LzThe use of (this is the target total kilometrage that user specifies, and is known)
Family at the uniform velocity operating condition target load is composed are as follows:
I=1,2 herein ..., n1；J=1,2 ..., n2.
The physical meaning of S expression is: under different kinds of roads type, various velocity shootings, constituent parts mileage at the uniform velocity normal loading
Splicing in time-domain, that is, the time history of characterization constituent parts normal loading, as shown in figure 4, being in ownership goal is total
Journey LzSplicing of=100 kilometers of lower constituent parts normal loadings under total 8000s time history, constituent parts normal loading experience
Time history is different, and wherein the time history of 60km/h unit mileage at the uniform velocity normal loading is about that experienced on B grades of road surfaces
350s (is arranged in the period as in this section of time domain of 2900s-3250s) on figure.
2) building of accelerating mode target load spectrum
It establishes similar at the uniform velocity operating loading spectrum, vehicle is equidistantly first divided into n3 sections by feasible acceleration range,
If acceleration range is 0-11m/s2, can be by every 1m/s2It is divided into a segment, then has 0-1m/s2, 1-2m/s2…… 10-
11m/s2These acceleration sections；
The load of each accelerating sections of real vehicle acquisition units mileage difference road type forms unit mileage and accelerates normal loading,
It is denoted as Aij.Similarly, due to each section of acceleration difference, road type is different, so unit mileage accelerates standard to carry under various situations
Lotus is different, and it is also different that vehicle travels the time used in unit mileage.
The mileage travelled that each accelerating sections on different road types is statisticallyd analyze using GPS data, is denoted as LA ij；
And the ratio of the road type mileage shared by the mileage travelled of each accelerating sections on different road types is calculated, it is denoted as
pA ij:
pA ij=LA ij/Li；
Then formulating total kilometres is LzUser's accelerating mode target load spectrum are as follows:
Herein, i=1,2 ..., n1；J=1,2 ..., n3.
Similarly, the physical meaning of A expression is: under different kinds of roads type, various acceleration sections, constituent parts mileage accelerates mark
Splicing of the quasi- load in time-domain.Unit mileage under different kinds of roads type, various acceleration sections accelerate normal loading when
Between splicing in course be exactly W-response user's accelerating mode target load situation.
3) building of deceleration work target load spectrum
It is identical as above-mentioned accelerating mode target load spectrum building principle, vehicle is equidistantly drawn by feasible deceleration range
It is divided into n4 sections, if deceleration range is 0-5m/s2, can be by every 1m/s2It is divided into a segment, then has 0-1m/s2, 1-2m/
s2……4-5m/s2These deceleration segments.
The load of each braking section on real vehicle acquisition units mileage difference road type forms unit mileage deceleration standard and carries
Lotus is denoted as Bij.Due to each section of deceleration difference, road type is different, so when vehicle travels used in unit mileage
Between it is different, the load signal that unit mileage deceleration normal loading is stated in time domain under various situations is also different.
Each braking section mileage travelled on different road types is statisticallyd analyze using GPS data, is denoted as LB ij；
The ratio for calculating the road type mileage shared by each braking section mileage travelled on different road types, is denoted as pB ij:
pB ij=LB ij/Li；
Then formulating total kilometrage is LzUser's decelerating mode target load spectrum are as follows:
Herein, i=1,2 ..., n1；J=1,2 ..., n4.
Similarly, the physical meaning of B expression is: under different kinds of roads type, various deceleration segments, constituent parts mileage, which slows down, to be marked
Splicing of the quasi- load in time-domain.
4) building of steering situation target load spectrum
It is (such as monotropic road, double lane changes, snakelike, steady that Vehicular turn type by steering form and turning radius is divided into n5 kind
State revolution etc. turns to form and different turning radius)；
Vehicle is equidistantly divided into n6 sections (steering situation only considers at the uniform velocity state) by feasible turning velocity range；
Real vehicle acquisition units mileage difference road type, the different load for turning to each turning velocity under type, form unit
Mileage turns to normal loading, is denoted as Fijk.Similarly, since road type is different, it is different to turn to type, turning velocity is different, vehicle
Different in the unit mileage traveling time used, the load acquired in unit mileage is also different.
Different road types, the different mileages travelled for turning to each velocity shooting under type are statisticallyd analyze using GPS data,
It is denoted as LF ijk；
Calculate different road types, the shared road type mileage of the different mileages travelled for turning to each velocity shooting under type
Ratio, be denoted as pF ijk:
pF ijk=LF ijk/Li；
Then formulating total kilometres is LzUser's steering situation target load spectrum are as follows:
Herein, i=1,2 ..., n1；J=1,2 ..., n5；K=1,2 ..., n6.
Similarly, the physical meaning of F expression here is: under different kinds of roads type, various steering types, various turning velocities,
Constituent parts mileage turns to splicing of the normal loading in time-domain.
3, by user at the uniform velocity, accelerate, slow down with steering situation target load spectrum is added, obtain user dependability target carry
Lotus spectrum:
According to aforementioned, user dependability target load spectrum U, and under characterization different kinds of roads type, various operating conditions, own
Splicing of the unit mileage normal loading in time-domain is stitched together to form user dependability target load spectrum.
The technology path of a specific embodiment is lifted with reference to the accompanying drawing, as shown in Figure 1.
In the route, if road type is A-G kind, mileage shared by every kind of road type is counted；Driving cycle is divided into even
Speed accelerates, slows down, various steering types (having a-f class), sets the conventional linear uniform velocity or acceleration, deceleration under each operating condition
Degree or turning velocity range, are equidistantly divided into n sections for the range；Then each segment is acquired in different roads with real vehicle
Unit mileage normal loading (unit mileage at the uniform velocity, accelerate, slow down, turning to normal loading) under type, different operating condition；And it unites
Mileage travelled of each segment in different kinds of roads is (in the equidistant mileage of speed, acceleration are equidistant in the meter regular period
The equidistant mileage of journey, deceleration, the equidistant mileage of all kinds of steerings)；According to the ratio of mileage travelled and corresponding road type mileage
Example, calculates the target load under various operating conditions, is finally combined into user's general objective load.
An example of calculation under the technology path:
For automobile reliability load acquisition for, load general explanation be broad sense load, cover strain, power,
The coherent signals such as torque, acceleration, displacement.As follows only by taking automobile axle vertical acceleration signal under at the uniform velocity operating condition as an example, other
Similarly, as shown in Fig. 2 a-2c, Fig. 3 a-3c, Fig. 4.
Statistics first obtains all kinds of mileages of transport route (shared A-G class) to account for total kilometrage ratio as shown in table 1, shows certain in table
There was only tri- kinds of roads of B, C, D in collection process.
All kinds of mileages of transport route of table 1 account for the ratio of total kilometrage
Real vehicle collects running speed within the scope of 10km/h-120km/h, with every 10km/h for a velocity shooting, system
Vertical acceleration load of the various velocity shootings under unit mileage difference road type is counted, Fig. 2 a-2c has only arranged B grades of road surfaces portion
The unit mileage of component velocity (u=10km/h, 50km/h, 120km/h) at the uniform velocity normal loading data.
The ratio of mileage travelled and mileages of transport route of each velocity shooting on different roads is counted, as shown in figs 3 a-3 c (figure
In only illustrate B grades, C grades, on D grades of roads, the histogram data in figure is only the example assumed).
Given total kilometres LZ=100 kilometers, according to the exemplary speed data of Fig. 2 a-2c, construct hundred kilometers of user
Load history, as shown in figure 4, being spliced in figure to B grades, C grades, D grades of road load time-domain signals, to state more
Intuitively, the load that B grades of road 60km/h have been intercepted in figure shows that hundred kilometers of load-time mileages of the user cover all kinds of roads
Load under road and various speeds.
The above, only preferred embodiments of the present invention, but scope of protection of the present invention is not limited thereto, it is any
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by those familiar with the art, all answers
It is included within the scope of the present invention.
Claims (2)
1. a kind of road and the automobile reliability target load of driving behavior compose construction method, which is characterized in that including walking as follows
It is rapid:
S1, road is classified first, in accordance with customized mode, is accumulated by the GPS data of vehicle, statisticallys analyze certain region
The mileage and accounting of interior different kinds of roads type；
S2, operating condition building target load spectrum is then pressed:
1) first by the uniform velocity, accelerate, deceleration straight-line travelling and at the uniform velocity several cases classification operating conditions of Turning travel；
2) for each operating condition, accordingly by conventional straight-line travelling speed/acceleration/deceleration, turning velocity range, etc.
Spacing is divided into several segments；
3) load of various segments under various operating conditions, different kinds of roads type is acquired using vehicle, building unit mileage standard carries
Lotus；
4) vehicle GPS data accumulation is utilized, various operating conditions in certain period, various segments under different kinds of roads type are statisticallyd analyze
Mileage travelled, and calculate the ratio of the mileage travelled and the corresponding road type mileage of step S1；
5) by the various segment unit mileage normal loadings of acquisition, according to corresponding road type mileage accounting, various sections
The ratio of section corresponding mileage travelled and road type mileage carries out time-domain signal splicing according to ownership goal total kilometrage, obtains
Target load spectrum under various operating conditions；
S3, by user at the uniform velocity, accelerate, slow down and turn to etc. operating conditions target load spectrum be added, obtain user dependability target load
Spectrum.
2. the automobile reliability target load according to claim 1 for considering road and driving behavior composes construction method,
It is characterized in that, is subdivided into steering type under at the uniform velocity Turning travel operating condition, and by steering form and turning radius, by steering type
Refine unit mileage normal loading.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110717229A (en) * | 2019-10-16 | 2020-01-21 | 北京航空航天大学 | Virtual load spectrum self-updating construction method based on test data |
| CN112051076A (en) * | 2020-09-10 | 2020-12-08 | 重庆理工大学 | New energy automobile power assembly road spectrum loading test method |
| CN112466004A (en) * | 2020-11-24 | 2021-03-09 | 中国第一汽车股份有限公司 | Vehicle use information acquisition method, device, equipment and storage medium |
| CN113358369A (en) * | 2021-06-03 | 2021-09-07 | 江苏汇智高端工程机械创新中心有限公司 | Load spectrum analysis method and system for electric drive system of mining dump truck |
| CN114518234A (en) * | 2022-02-17 | 2022-05-20 | 浙江吉利控股集团有限公司 | Damage detection method for electric drive of whole vehicle, server and computer readable storage medium |
| CN115223356A (en) * | 2021-04-22 | 2022-10-21 | 广州汽车集团股份有限公司 | Method and system for obtaining automobile load spectrum |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090037070A1 (en) * | 2007-08-03 | 2009-02-05 | Nissan Motor Co., Ltd. | System and method for controlling running of a vehicle |
| CN106203856A (en) * | 2016-07-18 | 2016-12-07 | 交通运输部公路科学研究所 | A kind of Combined Principal Components analysis and the vehicle driving-cycle formulating method of Fuzzy c-means Clustering |
-
2018
- 2018-09-25 CN CN201811118380.3A patent/CN109446568A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090037070A1 (en) * | 2007-08-03 | 2009-02-05 | Nissan Motor Co., Ltd. | System and method for controlling running of a vehicle |
| CN106203856A (en) * | 2016-07-18 | 2016-12-07 | 交通运输部公路科学研究所 | A kind of Combined Principal Components analysis and the vehicle driving-cycle formulating method of Fuzzy c-means Clustering |
Non-Patent Citations (2)
| Title |
|---|
| 李文亮等: "出租汽车用户可靠性目标载荷谱构建方法", 《公路交通科技》 * |
| 李文亮等: "考虑路面不平度和速度分布的用户目标载荷谱构建方法", 《公路交通科技》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110717229A (en) * | 2019-10-16 | 2020-01-21 | 北京航空航天大学 | Virtual load spectrum self-updating construction method based on test data |
| CN112051076A (en) * | 2020-09-10 | 2020-12-08 | 重庆理工大学 | New energy automobile power assembly road spectrum loading test method |
| CN112466004A (en) * | 2020-11-24 | 2021-03-09 | 中国第一汽车股份有限公司 | Vehicle use information acquisition method, device, equipment and storage medium |
| CN115223356A (en) * | 2021-04-22 | 2022-10-21 | 广州汽车集团股份有限公司 | Method and system for obtaining automobile load spectrum |
| CN113358369A (en) * | 2021-06-03 | 2021-09-07 | 江苏汇智高端工程机械创新中心有限公司 | Load spectrum analysis method and system for electric drive system of mining dump truck |
| CN113358369B (en) * | 2021-06-03 | 2022-05-31 | 江苏汇智高端工程机械创新中心有限公司 | Load spectrum analysis method and system for electric drive system of mining dump truck |
| CN114518234A (en) * | 2022-02-17 | 2022-05-20 | 浙江吉利控股集团有限公司 | Damage detection method for electric drive of whole vehicle, server and computer readable storage medium |
| CN114518234B (en) * | 2022-02-17 | 2023-08-15 | 浙江吉利控股集团有限公司 | Damage detection method for whole vehicle electric drive, server and computer readable storage medium |
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Application publication date: 20190308 |
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