CN109189754A - A kind of vehicle movement segment cutting method and device based on driving intention - Google Patents
A kind of vehicle movement segment cutting method and device based on driving intention Download PDFInfo
- Publication number
- CN109189754A CN109189754A CN201810948805.7A CN201810948805A CN109189754A CN 109189754 A CN109189754 A CN 109189754A CN 201810948805 A CN201810948805 A CN 201810948805A CN 109189754 A CN109189754 A CN 109189754A
- Authority
- CN
- China
- Prior art keywords
- segment
- vehicle
- acceleration
- steady
- driving intention
- 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.)
- Granted
Links
Abstract
The vehicle movement segment cutting method based on driving intention that the present invention provides a kind of specifically comprises the following steps: the steady-state process set that segment is tentatively extracted based on travel condition of vehicle；Acceleration, the moderating process set of segment are tentatively extracted based on driver intention；Integrated first two steps generate combined process set；The reasonability of verification processing process and the validity of result.The present invention is based on the vehicle movement segment cutting methods of driving intention, on the basis of motion segments library, by the analysis and distinguishing to its feature, gradually segment and extract the runtime procedure library of reflection acceleration, deceleration and stable state driving intention.For the database of existing Chinese operating condition project, the method achieve the effective and reasonable matchings of vehicle movement segment characterizations and driving intention, relatively reliable technical support is provided for the analysis and research of the vehicle data of the segmentation process of next step and the deep excavation of operation information, improves performance of the database as vehicle further investigation platform.
Description
Technical field
The invention belongs to traffic and transport fields, more particularly, to a kind of vehicle movement segment cutting side based on driving intention
Method and device.
Background technique
" New Energy Sources In China automotive check conditions researching and exploitation " task has been assigned by Ministry of Industry and Information in 2015, and task is by Chinese vapour
Vehicle Technical Research Center Co., Ltd take the lead industry completion." Chinese operating condition " project is during execution in national 41 cities
It acquires comprising 53,000,000 kilometers of data including Light-duty Vehicle, heavy goods vehicles, includes 5000, vehicle, wherein traditional Light-duty Vehicle
2630, acquire 26,000,000 kilometers of mileage, include private car, officer's car and taxi, acquisition time 2016 to 2017.
By the in-depth analysis to trap for automobile measured data, investigate travelling characteristic of the vehicle under a variety of driving-situations and
Difference carries out comprehensive analysis to multiclass shape parameter, excavates their relating attribute and influence on this basis according to specific requirements
Mode is deeply ground so as to which vehicle performance, road operational mode to driver's driving behavior, specific vehicle etc. is various
Study carefully and solid data support is provided.
The main body in existing China's floor data library is the vehicle movement segment and associated clip signature analysis of actual measurement acquisition,
It does not include the analysis and differentiation to driver's driving intention.And driver intention carries out an important reference of the studies above
Index: under the different intentions of acceleration, deceleration and stable state, motion segments feature really runs the reflection mode of scene to its vehicle
There is the differences of essence.In order to which the efficiency of correlative study can be improved, mitigate grinding for travelling characteristic for researcher
The difficulty studied carefully needs to study and establish segment operation characteristic in existing Chinese operating condition motion segments Basis of Database and drive
The driving information that reflects different intentions in motion segments is divided into and individually, more segments by the matching relationship that the person of sailing is intended to
In operational process database, to provide a reliable platform to carry out the research of various vehicle drives.
Summary of the invention
In view of this, the present invention is directed to propose a kind of vehicle movement segment cutting method based on driving intention, to use
Person is reference to the multinomial customized threshold value index of different driving intentions, extracts from segment velocity series and reflects acceleration, subtracts
The information of speed and stable state driving intention, cutting movement fractional time axis, by the reflection vehicle running state being cut into, represents accordingly
The operational process of driver intention is stored in acceleration, deceleration and steady state operation database respectively, is the segmentation process of next step
The analysis and research of vehicle data and the deep excavation of operation information lay the foundation.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A kind of vehicle movement segment cutting method based on driving intention, specifically comprises the following steps:
(1) the steady-state process set of segment is tentatively extracted based on travel condition of vehicle；
(2) acceleration, the moderating process set of segment are tentatively extracted based on driver intention；
(3) step (1) (2) are integrated and generates combined process set；
(4) runtime procedure library of sample vehicle is generated using above-mentioned steps, the reasonability of verification processing process and result
Validity.
Further, it is specifically included in the step (1): extracting instantaneous acceleration and velocity perturbation is made by oneself no more than user
The stringent steady-state process of the threshold parameter of justice；Splicing is spaced shorter process, i.e., when interval time is no more than process itself persistently
Between process, be not continuous velocity rise/fall process, give up the duration and velocity perturbation do not meet the mistake of given threshold
Journey generates the steady-state process set of the segment.
Further, it is specifically included in the step (2): for the motion segments sample in library, extracting speed curves wave
Segment between peak and trough, splicing duration are less than the adjacent segment of threshold value；Become according to the customized longitudinal velocity of user
Change and the threshold parameter of lateral duration, these segments are spliced and screened, splices adjacent acceleration segment and adjacent
Deceleration segment, give up the segment more than threshold parameter, be finally able to reflect driver's clear acceleration and deceleration meaning for segment generation
The acceleration and deceleration set of procedures of figure.
Further, specifically include in the step (3): for the same motion segments, there are steady-state process and plus/minus
Fast process time overlapping cases, processing rule and process are as follows:
(1) it if there are inclusion relations for two processes, is deleted from set of procedures and is included process；
(2) if there are incomplete overlapping relations for two processes, overlapping time section is deleted from the acceleration and deceleration process in the two.
Further, it is specifically included in the step (4), chooses the motion segments library of sample vehicle for a period of time, according to
Step (1) (2) (3) method carries out the batch cutting process of segment, gives up the segment for not meeting cutting requirement during processing
(segment is too long, speed fluctuation is irregular), finally obtains the runtime procedure library of the vehicle；The cumulative duration of process in library is calculated, and
The cumulative duration of (effective) segment before cutting is compared, and investigates procedure library to the coverage rate in motion segments library.
The present invention also proposes a kind of vehicle movement segment cutter device based on driving intention, including
For tentatively extracting the steady-state process synthesizer of the steady-state process set of segment according to travel condition of vehicle；
For tentatively extracted according to driver intention the acceleration of segment, the accelerator synthesizer of moderating process set,
Moderating process synthesizer；
It is comprehensive for being generated according to integrated steady-state process synthesizer, accelerator synthesizer, moderating process synthesizer
Close the combined process synthesizer of set of procedures；
For the verifying device according to the validity of the reasonability and result of combined process synthesizer verification processing process.
Compared with the existing technology, a kind of vehicle movement segment cutting method and dress based on driving intention of the present invention
It sets and has the advantage that
The present invention is based on the vehicle movement segment cutting methods of driving intention, on the basis of motion segments library, by it
The analysis and distinguishing of feature gradually segments and extracts the runtime procedure library of reflection acceleration, deceleration and stable state driving intention.For existing
There is the database of Chinese operating condition project, the effective and reasonable matching of vehicle movement segment characterizations and driving intention is realized, under
The analysis and research of the vehicle data of the segmentation process of one step and the deep excavation of operation information provide relatively reliable technical support,
Improve performance of the database as vehicle further investigation platform.
Detailed description of the invention
The attached drawing for constituting a part of the invention is used to provide further understanding of the present invention, schematic reality of the invention
It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the velocity series curve graph that example described in the embodiment of the present invention runs segment；
Fig. 2 is instantaneous acceleration described in the embodiment of the present invention, fluctuation and the setting signal of the customized threshold value of duration
Figure；
Fig. 3 is the splicing schematic diagram described in the embodiment of the present invention from stringent steady-state process to steady-state process；
Fig. 4 is the extraction flow diagram of motion segments steady-state process set described in the embodiment of the present invention；
Fig. 5 is the extraction result exemplary diagram of motion segments steady-state process set described in the embodiment of the present invention；
Fig. 6 is that schematic diagram is arranged in the variation of speed described in the embodiment of the present invention and the customized threshold value of duration；
Fig. 7 is the processing flow schematic diagram of a moderating process described in the embodiment of the present invention；
Fig. 8 is the extraction flow diagram of motion segments acceleration and deceleration set of procedures described in the embodiment of the present invention；
Fig. 9 is the extraction result exemplary diagram that motion segments described in the embodiment of the present invention add and subtract set of procedures；
Figure 10 is the untreated preliminary cutting result schematic diagram of segment process described in the embodiment of the present invention；
Figure 11 is described in the embodiment of the present invention to the processing schematic of the inclusion relation of different type process；
Figure 12 is the incomplete overlapping relation processing schematic described in the embodiment of the present invention to different type process；
Figure 13 is motion segments set of procedures integrated treatment flow diagram described in the embodiment of the present invention；
Figure 14 is motion segments process cutting result schematic diagram final described in the embodiment of the present invention；
Figure 15 is that sample vehicle acceleration/steady-state process upshift operation relevant parameter described in the embodiment of the present invention relatively shows
It is intended to；
Figure 16 is that sample vehicle deceleration/steady-state process downshift operation relevant parameter described in the embodiment of the present invention relatively shows
It is intended to；
Figure 17 is the upshift operation contrast schematic diagram in vehicle acceleration described in the embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
Below in conjunction with attached drawing, inventive method is described in further details.
Vehicle stops from starting to destination, is influenced by road traffic condition, therebetween can be by repeatedly starting, parking
Operation.Vehicle is defined as motion segments to the movement stopped next time in one-shot, with one duration of sample vehicle
Process is cut as the process that illustrates for 197s motion segments, the when m- rate curve (km/h) of segment is as shown in Figure 1.
Motion segments steady-state process set is extracted
According to the research to driver's actual travel scene, it is believed that during steady state ride, vehicle operation has following
Several features: vehicle is discontinuously more than specific threshold Aste by second acceleration in the process；Speed is by second wave in whole steady-state process
It is dynamic to be no more than specific threshold Vrag；In addition, the process duration is not less than specific threshold Trag, just it is enough to reflect that driver is flat
The intention surely driven.
User customized in user interface pop-up can be used for three discriminant parameters described above, as shown in Figure 2: figure
In three interfaces from top to bottom respectively define instantaneous acceleration threshold value A ste, fluctuation threshold Vrag and duration threshold
Trag。
Firstly, search the time-continuing process that instantaneous acceleration in motion segments is no more than Aste, i.e., stringent steady-state process set,
Record its temporal information in segment.
According to motion segments by second velocity series (km/h), calculates and accelerate degree series (km/h) by the second, define acceleration
Threshold value distinguishing sequence A: the absolute value of acceleration is more than that the numerical point of threshold value A ste is defined as 1 in A, remaining numerical point is defined as
0, and be 1 point of supplement of sequence head and the tail；
[1,0] is searched in sequence A, finds n as a result, recording its initial position in the sequence, sequentially typing array
The first row of BE；[0,1] is searched in sequence A, finds n as a result, recording its initial position in the sequence, sequentially typing number
The second row of group BE.
At this point, each column record of 2*n array BE is temporal information of the stringent steady-state process in motion segments: BE
(1, i) represents the initial time of i-th of steady-state process in motion segments, and BE (2, i) then represents the termination time of the process.
Vehicle is in steady state ride, probably due to there are more significant velocity variations in the scenes such as shift, follow the bus, it is this of short duration
Variation do not represent driver steady-state operation intention changed.So needing by adjacent in the BE generated above
Stringent steady-state process is examined, and judges whether it connects into duration longer steady-state process.Judgment rule is as follows:
1) as it is assumed that speed will not keep the same trend risen or fallen for a long time in steady-state process, so only investigating first
The opposite adjacent process of tail velocity variations trend, i.e. V (BE (2, i+1))-V (BE (1, i+1)) and V (BE (2, i))-V (BE (1,
I) symbol) is opposite.
2) interval time between two processes, i.e. BE (1, i+1)-BE (2, i), if no more than previous stabilization process are investigated
Length, i.e. BE (2, i)-BE (1, i)+1 then connects two stable segments, forms new stabilization process, start time point BE
(1, i) terminates time point BE (2, i+1).
3) velocity information of new process is searched in V according to time point, if its head and the tail velocity variations V (BE (2, i+1))-V
(BE (1, i)) is greater than process variation threshold value Vrag defined above, then will be in process time point typing always BES；If not after
Continuous and next tight process is made whether the investigation of connection, until stuffer fragment does not meet 1) conditional.
4) final new stabilization process is obtained, its duration, i.e. BES (2, i)-BES (1, i), if not less than certainly are investigated
The duration threshold Trag of definition, then be retained in BES, otherwise delete.
Using Fig. 3 as example, O/X indicates 5 stringent steady-state process in motion segments 125-177 seconds respectively in left figure
Starting point is handled by connection, and preceding 4 segments and its stuffer fragment are connected into steady-state process shown in right figure.
It is as shown in Figure 4 that set extracts overall procedure.It is finally motion segments steady-state process set, each process exists in set
Starting and termination time in segment are respectively present in the one of BES, two rows.Extract result example such as Fig. 5.O/X is marked often respectively
The start-stop point of a steady-state process.
Motion segments acceleration and deceleration set of procedures extracts
Firstly, the velocity series for motion segments extract wave crest and trough, the time between adjacent paddy peak (peak valley)
Corresponding vehicle adds (subtracting) fast operation conditions, and hereinafter referred to as " peak valley (Gu Feng) segment ", the velocity head between peak valley is the fortune
The velocity variations value of vehicle under row situation.It will be in the relevant information typing 4*n array pv of n peak valley segment: each column of pv point
Not Ji Lu a segment initial time, starting velocity, duration and velocity head.
Next judge whether each peak valley segment reflects the acceleration and deceleration intention of driver: lesser velocity variations value
The shorter duration illustrates driver, and there is no the specific intentions for changing speed.User can pass through the dialogue of pop-up
Frame, customized speed change threshold VGap and duration threshold Ltsd, as shown in Figure 6.
Deterministic process is as follows:
1) (add-subtract-plus/minus-add-subtract) process is attached according to speed threshold value: the search speed drop in pv that is,
That is pv (i, 4) is less than peak valley (Gu Feng) segment of VGap, and it is that vehicle subtracts and (add) fast process, but is not enough to anti-that the segment is corresponding
Reflect subtracting and (accelerating to be intended to) for driver.It is incorporated into two adjacent with it and represents the paddy peak (peak valley) that vehicle adds and (subtract) fast process
Segment, by connecting three segments, forming one new has the vehicle of fluctuation to add and (subtract) fast segment.This is deleted in pv
New film segment information: [pv (i-1,1), pv (i-1,2), pv (i-1,3)+pv (i, 3)+pv is added in the corresponding information row of three segments
(i+1,3),pv(i+2,2)-pv(i-1,2)]。
2) by (add-subtract-plus/minus-add-subtract) process above splice after, two are likely to occur in pv and is joined end to end
Plus (subtracting) fast segment, they are spliced, is formed new, the duration is longer plus (subtracting) fast process, deletes in pv
New film segment information: [pv (i, 1), pv (i+1,2), pv (i, 3)+pv (i+ is added in the two corresponding information rows of segment (i, i+1)
1,3),pv(i+1,2)-pv(i,2)]。
Fig. 7 illustrates a moderating process process flow for 89-125 seconds rate curves in motion segments.
Finally the deletion duration is too short, i.e. pv (i, 3) is less than the segment of Ltsd, obtains the final plus-minus of the motion segments
Set of procedures, information are recorded in pv, and it is as shown in Figure 8 to extract overall procedure.
Fig. 9 illustrates motion segments obtained acceleration and deceleration set of procedures after treatment respectively from top to bottom.It is wherein bent
Line is automobile's instant velocity, and straight line is momentary, and O/X marks out the start-stop point for ultimately generating acceleration and deceleration segment respectively.In conjunction with gear
With the general trend of velocity variations, it can be seen that each acceleration and deceleration process generated can represent driver substantially will
Speed improves/is reduced to some horizontal clearly intention.
The final combined process set of motion segments generates
The integrated all processes generated above, after starting/termination time point sequence, in typing array Tads, Tads
In three rows of each column record the relevant information of a process respectively: the starting of the first and second row recording process and terminate time point, the
Three row recording process attributes, acceleration are denoted as 1, and stable state is denoted as 0, and deceleration is denoted as -1.
Different types of process is plotted in rate curve, O1/O2/O3 respectively represents cruise/acceleration/deceleration process
Starting point, X1/X2/X3 respectively represent cruise/acceleration/deceleration process terminating point, as shown in Figure 10.As can be seen that this moment right
In the same motion segments, the case where there are the time-interleavings of process.In order to obtain reasonable motion segments process segmentation result,
It needs to differentiate the situation, analyzed and handled, processing rule and process are as follows:
The time-interleaving situation of process is divided into two classes:
1) inclusion relation
The case where if there is Tads (2, i+1)≤(2, i) Tads, then it represents that i-th of process contains i+1 at this time
A process, Figure 11 respectively show two kinds of specific situations of inclusion relation from top to bottom.
Upper figure by large size O/X mark out Lai, a steady-state process (O1-X1) completely contains a moderating process
(O3-X3).Think that the moderating process belongs to normal velocity perturbation under steady state ride state at this time, is classified as steady-state process
A part.
It is the case where accelerator (O2-X2) includes steady-state process (O1-X1) shown in the following figure, although vehicle maintains one section
Time steady-state process, but driver's general intent is for speed to be increased to certain level, therefore it is classified to accelerator.
In conclusion if two processes there are inclusion relation, are deleted by comprising process from set of procedures, are deleted from Tads
Except the information of i+1 column.
2) incomplete overlapping relation:
The case where if there is Tads (1, i+1)≤Tads (2, i)≤(2, i+1) Tads, then it represents that i-th of mistake at this time
Journey and i+1 process overlap the time.
Figure 12 by large size O/X mark out Lai, accelerator (O2-X2), steady-state process (O1-X1) and moderating process (O3-
X3 there is the part of overlapping between).Think that acceleration and deceleration come into surely with the time of steady-state process overlapping, vehicle in the process at this time
State driving status will be classified as steady-state process overlapping time.
In conclusion if two processes delete overlapping there are incomplete overlapping relation, from the acceleration and deceleration process in the two
Period: if Tads (3, i)=1 or -1, Tads (2, i) are revised as Tads (1, i+1)；If Tads (3, i+1)=1 or -1,
Tads (1, i+1) is revised as Tads (2, i).
Integrated treatment process is as shown in figure 13, the final segment process cut and extract result such as Figure 14 institute obtained after processing
Show.For a motion segments, three class process can accomplish tandem array each other substantially in time, and relatively accurate more reasonable
Ground reflects the driver intention and travel condition of vehicle of the period.Wherein the segment in 80-83s the and 116-121s time by
Short in the duration, speed fluctuation is irregular, is not included into procedural type, can ignore.
Sample vehicle operation library generates and validation verification
The motion segments library of sample vehicle for a period of time is chosen, the batch cutting process of segment is carried out according to method above,
Give up the segment (segment is too long, speed fluctuation is irregular) for not meeting cutting requirement during processing, finally obtains the vehicle
Runtime procedure library.
The cumulative duration of (effective) segment before calculating the cumulative duration of process in library, and cutting is compared, and is investigated
Cheng Ku is to the coverage rate in motion segments library, as shown in table 1.
As can be seen from the table during processing, the motion segments ratio and process coverage rate handled all reaches
Higher level.In conclusion the piece stage treatment method constructed herein is rationally effective.
The motion segments process cutting result of 1 sample vehicle (vehicle 1) of table counts
| Original sheet number of segment | Segment is efficient | Process coverage rate | Accelerator | Accelerator | Steady-state process |
| 1403 | 85.25% | 95.73% | 5898 | 6102 | 1604 |
Running state of the vehicle analysis examples based on driving intention
It, can be more deeply and carefully to vehicle not under different driving intentions based on the runtime procedure library of vehicle
Operating condition is analyzed, to provide a reliable platform to carry out the research of various vehicle drives.
Gear position operation difference of the sample vehicle under different driving intentions: with 5 grades of automotive vehicles (vehicle 2) be sample into
Row analysis.Figure 15 is driver when accelerating and steady-state operation, and the upshift operation under various gear processes compares.Figure 16 is to drive
Downshift operation comparison of the person of sailing in continued deceleration and steady-state operation, under various gear processes.
The shift calibration of different vehicle and its comparative analysis of the influence to generator operating conditions: two are chosen automatically
6 grades of vehicles, the vehicle 1 of 1.6T and the vehicle 3 of 2T compare example.Figure 17 shows and compared the upshift of in lasting acceleration two vehicles
Scene: vehicle 3 rises to 2 grades from 1 grade compared with Gao Shicai in speed.In remaining shifting up operation, corresponding to speed promoted peace
Equal acceleration is lower, illustrates that dynamic property is more focused in the calibration of vehicle 3 in starting-up process, more focuses in remaining accelerator economical
Property.Vehicle 3 is increased with gear and is gradually decreased in the corresponding revolving speed kept stable of different shift-up points, revolving speed drop；Vehicle 1 fluctuates
It is larger.Vehicle 3 is substantially lower than vehicle 1 in the revolving speed and drop of identical shift-up point.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of vehicle movement segment cutting method based on driving intention, it is characterised in that: specifically comprise the following steps:
(1) the steady-state process set of segment is tentatively extracted based on travel condition of vehicle；
(2) acceleration, the moderating process set of segment are tentatively extracted based on driver intention；
(3) step (1) (2) are integrated and generates combined process set；
(4) generate the runtime procedure library of sample vehicle using above-mentioned steps, the reasonability of verification processing process and result it is effective
Property.
2. a kind of vehicle movement segment cutting method based on driving intention according to claim 1, it is characterised in that: institute
It states and is specifically included in step (1): extracting instantaneous acceleration and velocity perturbation is no more than the stringent of the customized threshold parameter of user
Steady-state process；The shorter process in splicing interval, i.e. interval time are no more than the process of process duration itself, are not continuous speed
Rise/fall process is spent, gives up the duration and velocity perturbation does not meet the process of given threshold, generate the stable state mistake of the segment
Cheng Jihe.
3. a kind of vehicle movement segment cutting method based on driving intention according to claim 1, it is characterised in that: institute
It states and is specifically included in step (2): for the motion segments sample in library, extracting the segment between speed curves wave crest and trough,
Splice adjacent segment of the duration less than threshold value；According to the threshold of user's customized longitudinal velocity variation and lateral duration
Value parameter is spliced and is screened to these segments, splices adjacent acceleration segment and adjacent deceleration segment, gives up more than threshold
The segment of value parameter finally generates for the segment and is able to reflect the acceleration and deceleration set of procedures that the clear acceleration and deceleration of driver are intended to.
4. a kind of vehicle movement segment cutting method based on driving intention according to claim 1, it is characterised in that: institute
It states and is specifically included in step (3): for the same motion segments, there are steady-state process and plus/minus speed process time overlapping cases,
Processing rule and process are as follows:
(1) it if there are inclusion relations for two processes, is deleted from set of procedures and is included process；
(2) if there are incomplete overlapping relations for two processes, overlapping time section is deleted from the acceleration and deceleration process in the two.
5. a kind of vehicle movement segment cutting method based on driving intention according to claim 1, it is characterised in that: institute
State and specifically included in step (4), choose sample vehicle motion segments library for a period of time, according to step (1) (2) (3) method into
The batch cutting process of row segment, give up during processing do not meet cutting requirement segment (segment is too long, speed fluctuation not
Rule), finally obtain the runtime procedure library of the vehicle；(effective) segment before calculating the cumulative duration of process in library, and cutting
Cumulative duration is compared, and investigates procedure library to the coverage rate in motion segments library.
6. a kind of vehicle movement segment cutter device based on driving intention, it is characterised in that: including
For tentatively extracting the steady-state process synthesizer of the steady-state process set of segment according to travel condition of vehicle；
For tentatively extracting the acceleration of segment according to driver intention, the accelerator synthesizer of moderating process set, slowing down
Process synthesizer；
For being integrated according to integrated steady-state process synthesizer, accelerator synthesizer, the generation of moderating process synthesizer
The combined process synthesizer of Cheng Jihe；
For the verifying device according to the validity of the reasonability and result of combined process synthesizer verification processing process.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810948805.7A CN109189754B (en) | 2018-08-20 | 2018-08-20 | Vehicle motion segment cutting method and device based on driving intention |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810948805.7A CN109189754B (en) | 2018-08-20 | 2018-08-20 | Vehicle motion segment cutting method and device based on driving intention |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109189754A true CN109189754A (en) | 2019-01-11 |
| CN109189754B CN109189754B (en) | 2021-08-03 |
Family
ID=64919031
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810948805.7A Active CN109189754B (en) | 2018-08-20 | 2018-08-20 | Vehicle motion segment cutting method and device based on driving intention |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109189754B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112729863A (en) * | 2020-12-16 | 2021-04-30 | 中国汽车技术研究中心有限公司 | Vehicle actual measurement road selection method |
| CN113420061A (en) * | 2021-06-10 | 2021-09-21 | 北京宜能高科科技有限公司 | Steady state working condition analysis method, optimization debugging method and system of oil refining and chemical production device |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120330479A1 (en) * | 2011-06-27 | 2012-12-27 | Paccar Inc | System and method for generating vehicle drive cycle profiles |
| CN103606271A (en) * | 2013-11-27 | 2014-02-26 | 大连理工大学 | Method for controlling hybrid power urban buses |
| CN106997662A (en) * | 2017-04-26 | 2017-08-01 | 长安大学 | A kind of city bus operating mode construction method |
| CN107067722A (en) * | 2017-04-24 | 2017-08-18 | 中国汽车技术研究中心 | A kind of new vehicle driving-cycle construction method |
| CN107512266A (en) * | 2017-08-01 | 2017-12-26 | 北京理工大学 | A kind of operating mode Forecasting Methodology of the hybrid car travel operating mode based on waveform training |
| CN108082007A (en) * | 2017-11-29 | 2018-05-29 | 北京新能源汽车股份有限公司 | A kind of switching method of running conditions of vehicle, device and automobile |
| CN108198425A (en) * | 2018-02-10 | 2018-06-22 | 长安大学 | A kind of construction method of Electric Vehicles Driving Cycle |
-
2018
- 2018-08-20 CN CN201810948805.7A patent/CN109189754B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120330479A1 (en) * | 2011-06-27 | 2012-12-27 | Paccar Inc | System and method for generating vehicle drive cycle profiles |
| CN103606271A (en) * | 2013-11-27 | 2014-02-26 | 大连理工大学 | Method for controlling hybrid power urban buses |
| CN107067722A (en) * | 2017-04-24 | 2017-08-18 | 中国汽车技术研究中心 | A kind of new vehicle driving-cycle construction method |
| CN106997662A (en) * | 2017-04-26 | 2017-08-01 | 长安大学 | A kind of city bus operating mode construction method |
| CN107512266A (en) * | 2017-08-01 | 2017-12-26 | 北京理工大学 | A kind of operating mode Forecasting Methodology of the hybrid car travel operating mode based on waveform training |
| CN108082007A (en) * | 2017-11-29 | 2018-05-29 | 北京新能源汽车股份有限公司 | A kind of switching method of running conditions of vehicle, device and automobile |
| CN108198425A (en) * | 2018-02-10 | 2018-06-22 | 长安大学 | A kind of construction method of Electric Vehicles Driving Cycle |
Non-Patent Citations (2)
| Title |
|---|
| 吕仁志: "基于工况与驾驶意图识别的HEV控制策略", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 李波: "天津市混合动力公交车行驶工况研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112729863A (en) * | 2020-12-16 | 2021-04-30 | 中国汽车技术研究中心有限公司 | Vehicle actual measurement road selection method |
| CN112729863B (en) * | 2020-12-16 | 2022-05-17 | 中国汽车技术研究中心有限公司 | Vehicle actual measurement road selection method |
| CN113420061A (en) * | 2021-06-10 | 2021-09-21 | 北京宜能高科科技有限公司 | Steady state working condition analysis method, optimization debugging method and system of oil refining and chemical production device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109189754B (en) | 2021-08-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Guo et al. | Adaptive optimal control based on driving style recognition for plug-in hybrid electric vehicle | |
| Yu et al. | Driving pattern identification for EV range estimation | |
| CN111581893B (en) | Compilation method of reliability test load spectrum of electric drive assembly mechanical system | |
| Li et al. | Strategies to minimize the fuel consumption of passenger cars during car-following scenarios | |
| Montazeri-Gh et al. | Driving patterns clustering based on driving features analysis | |
| Nyberg et al. | Generation of equivalent driving cycles using Markov chains and mean tractive force components | |
| Anida et al. | Driving cycle development for Kuala Terengganu city using k-means method | |
| CN105868787A (en) | Electric car driving range evaluation method based on working condition identification and fuzzy energy consumption | |
| CN111459995B (en) | Multi-mode vehicle speed prediction method based on driving data | |
| CN106956680B (en) | Electric automobile driving behavior recognition analysis method | |
| CN109189754A (en) | A kind of vehicle movement segment cutting method and device based on driving intention | |
| Enang et al. | Modelling and heuristic control of a parallel hybrid electric vehicle | |
| CN105631485A (en) | Fatigue driving detection-oriented steering wheel operation feature extraction method | |
| CN108068814A (en) | The method and the vehicle of application method travelled using vehicle traveling information control vehicle | |
| Patil et al. | Design optimization of a series plug-in hybrid electric vehicle for real-world driving conditions | |
| Mafi et al. | Developing local driving cycle for accurate vehicular CO2 monitoring: A case study of Tehran | |
| CN106126637A (en) | A kind of vehicles classification recognition methods and device | |
| Puchalski et al. | Driving style analysis and driver classification using OBD data of a hybrid electric vehicle | |
| KR101558690B1 (en) | System for automatic ECO driving according to driver's driving characteristic and method for the same | |
| Anselma et al. | Accelerated sizing of a power split electrified powertrain | |
| Liu et al. | Naturalistic driving cycle synthesis by Markov chain of different orders | |
| Chaim et al. | A Model of Vehicle Fuel Consumption at conditions of the EUDC | |
| CN110667597B (en) | Driving style state identification method based on vehicle controller local area network data information | |
| CN105869412A (en) | Method for identifying fast acceleration behaviors based on vehicle running data | |
| Saxena et al. | Understanding fuel savings mechanisms from hybrid vehicles to guide optimal battery sizing for India |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |