CN108491363A - A kind of acquisition methods, device and the server of charging pile information - Google Patents
A kind of acquisition methods, device and the server of charging pile information Download PDFInfo
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- CN108491363A CN108491363A CN201810293206.6A CN201810293206A CN108491363A CN 108491363 A CN108491363 A CN 108491363A CN 201810293206 A CN201810293206 A CN 201810293206A CN 108491363 A CN108491363 A CN 108491363A
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- charging pile
- location information
- information
- electric vehicle
- precalculated position
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
Abstract
The invention discloses a kind of acquisition methods, device and the servers of charging pile information, wherein the method includes：Obtain location information when electric vehicle is in charged state；According to the location information of at least one electric vehicle within the scope of precalculated position, the information of charging pile within the scope of the precalculated position is determined.The present invention can determine the information of charging pile in the precalculated position orientation according to the location information of at least one electric vehicle within the scope of precalculated position, in order to be monitored management to established charging pile.
Description
Technical field
The present invention relates to automobile charging technique field more particularly to a kind of acquisition methods, device and the clothes of charging pile information
Business device.
Background technology
With popularizing for electric vehicle, the construction of charging pile is also being accelerated.In order to reinforce the management to charging pile, Yi Jibian
In shared charging pile information, the quantity and location information of newly-built charging pile are needed to be grasped.The big number of electric vehicle can be passed through at present
Monitor electric vehicle location information and status information according to platform, such as when monitor electric vehicle certain position stop two minutes and with
Upper and power battery electricity is when being continuously increased, it may be determined that the electric vehicle is in charged state, but does not have also now
There is specific method to can determine the information of built charging pile.
Invention content
The present invention provides a kind of acquisition methods, device and the servers of charging pile information, to solve how to fill to built
The problem of information of electric stake is collected.
In order to solve the above-mentioned technical problem, the invention is realized in this way：
In a first aspect, an embodiment of the present invention provides a kind of acquisition methods of charging pile information, including：
Obtain location information when electric vehicle is in charged state；
According to the location information of at least one electric vehicle within the scope of precalculated position, determines and filled within the scope of the precalculated position
The information of electric stake.
Preferably, the location information according at least one electric vehicle within the scope of precalculated position determines described predetermined
In position range the step of the information of charging pile, including：
According to the location information of at least one electric vehicle within the scope of the precalculated position, charging pile location information is established
Joint probability density function；
According to the joint probability density function, the information of charging pile within the scope of the precalculated position is calculated.
Preferably, described according to the joint probability density function, charging pile within the scope of the precalculated position is calculated
Information the step of, including：
By maximum- likelihood estimation, the maximum number of the joint probability density function is calculated；
According to the number of the maximum, the quantity of charging pile within the scope of the precalculated position is determined.
Preferably, described according to the joint probability density function, charging pile within the scope of the precalculated position is calculated
Information the step of, further include：
Obtain corresponding variable parameter value when the joint probability density function takes each maximum；
According to the corresponding variable parameter value of the maximum, the position letter of charging pile within the scope of the precalculated position is determined
Breath.
Preferably, close according to the joint probability there are one being set within the scope of the precalculated position in the case of charging pile
The step of spending function, the information of charging pile within the scope of the precalculated position be calculated, including：
By maximum- likelihood estimation, the variable parameter value when joint probability density function is maximized is calculated；
According to the corresponding variable parameter value of the maximum value, the position letter of charging pile within the scope of the precalculated position is determined
Breath.
Preferably, the location information of electric vehicle is：Xi=[xi,yi]T, wherein xiIndicate the location information of electric vehicle
XiCoordinate in a first direction, yiIndicate the location information X of electric vehicleiIn the coordinate of second direction；
The location information of charging pile is：Yj=[xj,yj]T, wherein xjIndicate the location information Y of charging pilejIn a first direction
Coordinate, yjIndicate the location information Y of charging pilejIn the coordinate of second direction；
The distance between automobile and charging pile are：Si=[Sxi,Syi]T, wherein SxiIt indicates between electric vehicle and charging pile
Distance in a first direction, SyiAt a distance from indicating electric vehicle between charging pile in a second direction；
Wherein, Sxi=xj-xi, SxiIt is 0 to obey average value, variance σx 2Normal distribution, Syi=yj-yi, SyiIt obeys flat
Mean value is 0, variance σy 2Normal distribution, and SxiAnd SyiIt is uncorrelated；
The joint probability density function of the charging pile location information is：
Wherein, n indicates the quantity of electric vehicle within the scope of the precalculated position；
Wherein,
Preferably, K (Xi) be：
Second aspect, the embodiment of the present invention additionally provide a kind of acquisition device of charging pile information, including：
Acquisition module, for obtaining location information when electric vehicle is in charged state；
Processing module determines described pre- for the location information according at least one electric vehicle within the scope of precalculated position
Determine the information of charging pile in position range.
Preferably, the processing module includes：
Setting up submodule is established for the location information according at least one electric vehicle within the scope of the precalculated position
The joint probability density function of charging pile location information；
First computational submodule, for according to the joint probability density function, the precalculated position range to be calculated
The information of interior charging pile.
Preferably, first computational submodule includes：
Computing unit, for by maximum- likelihood estimation, calculating the maximum of the joint probability density function
Number；
First processing units determine charging pile within the scope of the precalculated position for the number according to the maximum
Quantity.
Preferably, the computational submodule further includes：
Acquiring unit, for obtaining corresponding variable when the joint probability density function takes each maximum
Parameter value；
Second processing unit, for according to the corresponding variable parameter value of the maximum, determining the precalculated position range
The location information of interior charging pile.
Preferably, it is set within the scope of the precalculated position there are one in the case of charging pile, the processing module includes：
Second computational submodule, for by maximum- likelihood estimation, calculating the joint probability density function and taking most
Variable parameter value when big value；
Submodule is handled, for according to the corresponding variable parameter value of the maximum value, determining within the scope of the precalculated position
The location information of charging pile.
Preferably, the location information of electric vehicle is：Xi=[xi,yi]T, wherein xiIndicate the location information of electric vehicle
XiCoordinate in a first direction, yiIndicate the location information X of electric vehicleiIn the coordinate of second direction；
The location information of charging pile is：Yj=[xj,yj]T, wherein xjIndicate the location information Y of charging pilejIn a first direction
Coordinate, yjIndicate the location information Y of charging pilejIn the coordinate of second direction；
The distance between automobile and charging pile are：Si=[Sxi,Syi]T, wherein SxiIt indicates between electric vehicle and charging pile
Distance in a first direction, SyiAt a distance from indicating electric vehicle between charging pile in a second direction；
Wherein, Sxi=xj-xi, SxiIt is 0 to obey average value, variance σx 2Normal distribution, Syi=yj-yi, SyiIt obeys flat
Mean value is 0, variance σy 2Normal distribution, and SxiAnd SyiIt is uncorrelated；
The joint probability density function of the charging pile location information is：
Wherein, n indicates the quantity of electric vehicle within the scope of the precalculated position；
Wherein,
Preferably, K (Xi) be：
The third aspect, the embodiment of the present invention additionally provide a kind of server, and the server includes processor, memory,
It is stored in the computer program that can be run on the memory and on the processor, the processor executes the computer
The step of acquisition methods of charging pile information as described above are realized when program.
Fourth aspect, the embodiment of the present invention additionally provide a kind of computer readable storage medium, described computer-readable to deposit
Computer program is stored on storage media, the computer program realizes charging pile information as described above when being executed by processor
Acquisition methods the step of.
The advantageous effect of the embodiment of the present invention is：
In said program, by the case where electric vehicle is in charged state, obtaining the location information of electric vehicle.
Location information in this way according at least one electric vehicle within the scope of precalculated position is for statistical analysis, so that it is determined that the pre-determined bit
The information for setting charging pile in orientation, in order to be monitored management to established charging pile.
Description of the drawings
Fig. 1 shows the flow charts of the acquisition methods of the charging pile information of the embodiment of the present invention；
Fig. 2 indicates the flow chart of charging pile location information within the scope of the determination precalculated position of the embodiment of the present invention；
Fig. 3 indicates one of the structure diagram of acquisition device of the charging pile information of the embodiment of the present invention；
Fig. 4 indicates the two of the structure diagram of the acquisition device of the charging pile information of the embodiment of the present invention；
Fig. 5 indicates the block diagram of the server of the embodiment of the present invention.
Specific implementation mode
Exemplary embodiment of the present invention is more fully described below with reference to accompanying drawings.Although showing the present invention in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the present invention without should be by embodiments set forth here
It is limited.It is to be able to be best understood from the present invention on the contrary, providing these embodiments, and can be by the scope of the present invention
Completely it is communicated to those skilled in the art.
As shown in Figure 1, the embodiment provides a kind of acquisition methods of charging pile information, including：
Step 11：Obtain location information when electric vehicle is in charged state.
In the embodiment, location information when electric vehicle is in charged state is obtained, is specifically included：In electric vehicle
In the case that the duration that stops is more than preset duration, the charge value of the power battery of the electric vehicle is obtained；In the power electric
In the case that the charge value in pond is in propradation, determine that the electric vehicle is in charged state；At the electric vehicle
When charged state, the location information of the electric vehicle is obtained.
Wherein, location information may be used geographical coordinate expression, can also simultaneously geographic position name description of symbols.
Step 12：According to the location information of at least one electric vehicle within the scope of precalculated position, the precalculated position is determined
The information of charging pile in range.
In the embodiment, in the case where electric vehicle is in charged state, the location information of electric vehicle is obtained.In this way
Location information according at least one electric vehicle within the scope of precalculated position is for statistical analysis, so that it is determined that the precalculated position side
The information of charging pile in position, in order to be monitored management to established charging pile.
Specifically, as Fig. 2 is determined described pre- according to the location information of at least one electric vehicle within the scope of precalculated position
Determine the information of charging pile in position range, including：
Step 121：According to the location information of at least one electric vehicle within the scope of the precalculated position, charging pile position is established
The joint probability density function of confidence breath.
In the embodiment, if the location information of electric vehicle is：Xi=[xi,yi]T, wherein xiIndicate the position of electric vehicle
Confidence ceases XiCoordinate in a first direction, yiIndicate the location information X of electric vehicleiIn the coordinate of second direction；[xi,yi]TTable
Show the transposed matrix of electric vehicle position coordinates.
The location information of charging pile is：Yj=[xj,yj]T, wherein xjIndicate the location information Y of charging pilejIn a first direction
Coordinate, yjIndicate the location information Y of charging pilejIn the coordinate of second direction；[xj,yj]TIndicate turning for charging pile position coordinates
Set matrix.
Then the distance between automobile and charging pile are：Si=[Sxi,Syi]T, wherein SxiIndicate electric vehicle and charging pile it
Between distance in a first direction, SyiAt a distance from indicating electric vehicle between charging pile in a second direction.
Wherein, Sxi=xj-xi, SxiIt is 0 to obey average value, variance σx 2Normal distribution, Syi=yj-yi, SyiIt obeys flat
Mean value is 0, variance σy 2Normal distribution, and SxiAnd SyiUncorrelated (i.e. the distance between automobile and charging pile SiObey mean value
It is 0, variance σx 2、σy 2, covariance be 0 Two dimension normal distribution).Wherein, σx 2、σy 2For constant.What needs to be explained here is that
In single calculation, σx 2、σy 2Respectively fixed constant value；For in calculating process each time, σx 2、σy 2Value can be different.
Then according to the location information of an electric vehicle within the scope of precalculated position, the probability density letter of charging pile position is determined
Number is：
Wherein, exp is indicated using constant e as the exponential function at bottom.
Consider to be independent from each other between the position parked when each electric vehicle is charged by charging pile, then root
According to the location information of at least one electric vehicle within the scope of precalculated position, the joint probability density letter of charging pile location information is established
Number is：
g(Yj)=f (X1)f(X2)f(X3)…f(Xn) (2)
Formula (1) is brought into formula (2), is obtained
Wherein, n indicates the quantity of electric vehicle within the scope of the precalculated position.
Step 122：According to the joint probability density function, the letter of charging pile within the scope of the precalculated position is calculated
Breath.
In the embodiment, according to the location information of at least one electric vehicle within the scope of the precalculated position, charging is established
The joint probability density function of stake location information.It in this way can be accurate according to the joint probability density function of charging pile location information
The information (location information and quantity information) of charging pile within the scope of precalculated position is calculated, is further conducive to established
Charging pile is monitored management.
Scene one：Charging pile there are one being set within the scope of precalculated position.
Above-mentioned steps 121 specifically include：
By maximum- likelihood estimation, the variable parameter value when joint probability density function is maximized is calculated；
According to the corresponding variable parameter value of the maximum value, the location information of charging pile within the scope of the precalculated position is determined.
Specifically, due in formula (3)Without containing variable xj、yj；
If
So, to YjMaximal possibility estimation, be the g (Y for making formula (3)j) be maximized, that is to say makes formula (4)
h(Yj) Y that is minimized0=[x0,y0]T, then [the x that is calculated0,y0]TTo be set within the scope of precalculated position, there are one charging piles
In the case of, the location information of the charging pile.
Specifically, passing through h (Yj) calculate Y0During, it can be by h (Yj) taken respectively to xjLocal derviation and to yiIt is inclined
It leads, then separatelySeparatelyObtain extreme point (xPole i, yPole i), yet further according to extreme point, determine g (Yj) take
Variable parameter value when maximum value.The algorithms most in use that the present embodiment is most worth using solution, which is not described herein again.
It is electronic according to this more in the case of parking more electric vehicles within the scope of precalculated position in the embodiment
The location information of automobile the exact position of charging pile can be calculated using maximum- likelihood estimation, in order to built
Vertical charging pile is managed.What needs to be explained here is that the location information of more electric vehicles, can be in the precalculated position
The location information of the current electric vehicle to charge, can also include having charged within the scope of the precalculated position in range
The electric vehicle of completion, location information when being charged within the scope of the precalculated position.
In addition, except maximum likelihood estimation algorithm is used, determines within the scope of precalculated position except the information of charging pile, can also lead to
One-Point Location method, particle swarm optimization or other default evaluation methods etc. are crossed, determine the information of charging pile within the scope of precalculated position, this
Invention is not limited.
Scene two：At least two charging piles are equipped within the scope of precalculated position.
Above-mentioned steps 121 specifically include：By maximum- likelihood estimation, the pole of the joint probability density function is calculated
Big value number；According to the number of the maximum, the quantity of charging pile within the scope of the precalculated position is determined.
Obtain corresponding variable parameter value when the joint probability density function takes each maximum；According to institute
The corresponding variable parameter value of maximum is stated, determines the location information of charging pile within the scope of the precalculated position.
Specifically, consider that the quantity of the electric vehicle to charge near each charging pile is different, and probability is close in formula (1)
Spend the coefficient of functionThe calculating of extreme value can be influenced by being multiplied, therefore enable the position according to an electric vehicle within the scope of precalculated position
Confidence ceases, and determines that the probability density function of charging pile position is：
Consider to be independent from each other between the position parked when each electric vehicle is charged by charging pile, then root
According to the location information of at least one electric vehicle within the scope of precalculated position, the joint probability density letter of charging pile location information is established
Number is：
In the embodiment, consider to be equipped with multiple charging piles within the scope of the precalculated position, therefore by F (Yj) there is maximum
Quantity of the number as charging pile；Make F (Yj) there is the Y of maximumjValue is the location information of charging pile, specific calculating process
The method that may refer to calculate extreme point in scene one, which is not described herein again.
Particularly, the maximum value in all maximum, as F (Y are takenj) maximum value, when being set within the scope of precalculated position
It, can be according to F (Y there are one in the case of charging pilej) Y when taking maximum value in all maximum0=[x0,y0]TAs this one
The location information of a charging pile.
In the embodiment, by the location information according at least one electric vehicle within the scope of precalculated position, charging is established
The joint probability density function of stake location information, and according to the joint probability density function, can accurately calculate and be made a reservation for
The location information of charging pile in position range, can also be calculated the quantity of charging pile within the scope of precalculated position, be conducive to pair
Charging pile is managed.
Further, consider when electric vehicle institute off-position is set and meets normal distribution, the seat of electric vehicle in a first direction
Mark xi, fall the coordinate x in a first direction in charging pilej3 σ near positionxThe probability at place reaches 99.74%；Electric vehicle is second
Coordinate y on directioni, fall the coordinate y in second direction in charging pilej3 σ near positionyThe probability at place reaches 99.74%.Cause
This only considers to be taken as to further increase the result accuracy for calculating charging pile information | xj-xi| 3 σ of ＜x, | yj-yi| 3 σ of ＜y
The location information of electric vehicle in range, then K (Xi) be：
In said program, by the case where electric vehicle is in charged state, obtaining the location information of electric vehicle.
Location information in this way according at least one electric vehicle within the scope of precalculated position is for statistical analysis, and it is pre- can be accurately obtained this
Determine the location information of charging pile in location fix, the quantity of charging pile within the scope of the precalculated position can also be calculated, so as to
In being monitored management to established charging pile.
Such as Fig. 3 and Fig. 4, the embodiment of the present invention additionally provides a kind of acquisition device of charging pile information, including：
Acquisition module 310, for obtaining location information when electric vehicle is in charged state.
Processing module 320, described according to the location information of at least one electric vehicle within the scope of precalculated position, determining
The information of charging pile within the scope of precalculated position.
Wherein, the processing module 320 includes：
Setting up submodule 321 is built for the location information according at least one electric vehicle within the scope of the precalculated position
The joint probability density function of vertical charging pile location information.
First computational submodule 322, for according to the joint probability density function, the precalculated position model to be calculated
Enclose the information of interior charging pile.
Wherein, first computational submodule 322 includes：
Computing unit 3221, for by maximum- likelihood estimation, calculating the very big of the joint probability density function
It is worth number.
First processing units 3222 are determined within the scope of the precalculated position and are charged for the number according to the maximum
The quantity of stake.
Wherein, first computational submodule 322 further includes：
Acquiring unit 3223, it is corresponding when the joint probability density function takes each maximum for obtaining
Variable parameter value.
Second processing unit 3224, for according to the corresponding variable parameter value of the maximum, determining the precalculated position
The location information of charging pile in range.
Wherein, it is set within the scope of the precalculated position there are one in the case of charging pile, the processing module 320 includes：
Second computational submodule 323, for by maximum- likelihood estimation, calculating the joint probability density function and taking
Variable parameter value when maximum value.
Submodule 324 is handled, for according to the corresponding variable parameter value of the maximum value, determining the precalculated position range
The location information of interior charging pile.
Wherein, the location information of electric vehicle is：Xi=[xi,yi]T, wherein xiIndicate the location information X of electric vehiclei
Coordinate in a first direction, yiIndicate the location information X of electric vehicleiIn the coordinate of second direction；
The location information of charging pile is：Yj=[xj,yj]T, wherein xjIndicate the location information Y of charging pilejIn a first direction
Coordinate, yjIndicate the location information Y of charging pilejIn the coordinate of second direction；
The distance between automobile and charging pile are：Si=[Sxi,Syi]T, wherein SxiIt indicates between electric vehicle and charging pile
Distance in a first direction, SyiAt a distance from indicating electric vehicle between charging pile in a second direction；
Wherein, Sxi=xj-xi, SxiIt is 0 to obey average value, variance σx 2Normal distribution, Syi=yj-yi, SyiIt obeys flat
Mean value is 0, variance σy 2Normal distribution, and SxiAnd SyiIt is uncorrelated；
The joint probability density function of the charging pile location information is：
Wherein, n indicates the quantity of electric vehicle within the scope of the precalculated position.
Wherein,
Further, K (Xi) be：
The acquisition device of charging pile information provided in an embodiment of the present invention can be realized in the embodiment of the method for Fig. 1 to Fig. 2
Each process, to avoid repeating, which is not described herein again.
The acquisition device of charging pile information in said program, by the case where electric vehicle is in charged state,
Obtain the location information of electric vehicle.It is united in this way according to the location information of at least one electric vehicle within the scope of precalculated position
Meter analysis, so that it is determined that in the precalculated position orientation charging pile information, in order to be monitored pipe to established charging pile
Reason.
In order to preferably realize that above-mentioned technique effect, such as Fig. 5, the embodiment of the present invention additionally provide a kind of server 500, institute
It includes processor 510 to state server 500, and memory 520 is stored on the memory 520 and can be on the processor 510
The computer program of operation, the processor 510 realize charging pile information as described above when executing the computer program
The step of acquisition methods.The embodiment of the present invention additionally provides a kind of computer readable storage medium, the computer-readable storage
Computer program is stored on medium, the computer program realizes charging pile information as described above when being executed by processor
The step of acquisition methods.
Above-described is the preferred embodiment of the present invention, it should be pointed out that the ordinary person of the art is come
It says, can also make several improvements and retouch under the premise of not departing from principle of the present invention, these improvements and modifications also exist
In protection scope of the present invention.
Claims (16)
1. a kind of acquisition methods of charging pile information, which is characterized in that including：
Obtain location information when electric vehicle is in charged state；
According to the location information of at least one electric vehicle within the scope of precalculated position, charging pile within the scope of the precalculated position is determined
Information.
2. the acquisition methods of charging pile information according to claim 1, which is characterized in that described according to precalculated position range
The inside location information of at least one electric vehicle, the step of determining the information of charging pile within the scope of the precalculated position, including：
According to the location information of at least one electric vehicle within the scope of the precalculated position, the joint of charging pile location information is established
Probability density function；
According to the joint probability density function, the information of charging pile within the scope of the precalculated position is calculated.
3. the acquisition methods of charging pile information according to claim 2, which is characterized in that described according to the joint probability
Density function, the step of information of charging pile within the scope of the precalculated position is calculated, including：
By maximum- likelihood estimation, the maximum number of the joint probability density function is calculated；
According to the number of the maximum, the quantity of charging pile within the scope of the precalculated position is determined.
4. the acquisition methods of charging pile information according to claim 3, which is characterized in that further include：
Obtain corresponding variable parameter value when the joint probability density function takes each maximum；
According to the corresponding variable parameter value of the maximum, the location information of charging pile within the scope of the precalculated position is determined.
5. the acquisition methods of charging pile information according to claim 2, which is characterized in that within the scope of the precalculated position
If there are one in the case of charging pile, according to the joint probability density function, it is calculated within the scope of the precalculated position and fills
The step of information of electric stake, including：
By maximum- likelihood estimation, the variable parameter value when joint probability density function is maximized is calculated；
According to the corresponding variable parameter value of the maximum value, the location information of charging pile within the scope of the precalculated position is determined.
6. according to the acquisition methods of claim 2 to 5 any one of them charging pile information, which is characterized in that
The location information of electric vehicle is：Xi=[xi,yi]T, wherein xiIndicate the location information X of electric vehicleiIn a first direction
Coordinate, yiIndicate the location information X of electric vehicleiIn the coordinate of second direction；
The location information of charging pile is：Yj=[xj,yj]T, wherein xjIndicate the location information Y of charging pilejSeat in a first direction
Mark, yjIndicate the location information Y of charging pilejIn the coordinate of second direction；
The distance between automobile and charging pile are：Si=[Sxi,Syi]T, wherein SxiIt indicates between electric vehicle and charging pile the
Distance on one direction, SyiAt a distance from indicating electric vehicle between charging pile in a second direction；
Wherein, Sxi=xj-xi, SxiIt is 0 to obey average value, variance σx 2Normal distribution, Syi=yj-yi, SyiObey average value
It is 0, variance σy 2Normal distribution, and SxiAnd SyiIt is uncorrelated；
The joint probability density function of the charging pile location information is：
Wherein, n indicates the quantity of electric vehicle within the scope of the precalculated position；
Wherein,
7. the acquisition methods of charging pile information according to claim 6, which is characterized in that K (Xi) be：
8. a kind of acquisition device of charging pile information, which is characterized in that including：
Acquisition module, for obtaining location information when electric vehicle is in charged state；
Processing module determines the pre-determined bit for the location information according at least one electric vehicle within the scope of precalculated position
Set the information of charging pile in range.
9. the acquisition device of charging pile information according to claim 8, which is characterized in that the processing module includes：
Setting up submodule establishes charging for the location information according at least one electric vehicle within the scope of the precalculated position
The joint probability density function of stake location information；
First computational submodule, for according to the joint probability density function, being calculated within the scope of the precalculated position and filling
The information of electric stake.
10. the acquisition device of charging pile information according to claim 9, which is characterized in that first computational submodule
Including：
Computing unit, for by maximum- likelihood estimation, calculating the maximum number of the joint probability density function；
First processing units determine the quantity of charging pile within the scope of the precalculated position for the number according to the maximum.
11. the acquisition device of charging pile information according to claim 10, which is characterized in that further include：
Acquiring unit, for obtaining corresponding variable parameter when the joint probability density function takes each maximum
Value；
Second processing unit, for according to the corresponding variable parameter value of the maximum, determining and being filled within the scope of the precalculated position
The location information of electric stake.
12. the acquisition device of charging pile information according to claim 9, which is characterized in that in the precalculated position range
It inside sets there are one in the case of charging pile, the processing module includes：
Second computational submodule, for by maximum- likelihood estimation, calculating the joint probability density function and being maximized
When variable parameter value；
Submodule is handled, is charged for according to the corresponding variable parameter value of the maximum value, determining within the scope of the precalculated position
The location information of stake.
13. according to the acquisition device of claim 9 to 12 any one of them charging pile information, which is characterized in that
The location information of electric vehicle is：Xi=[xi,yi]T, wherein xiIndicate the location information X of electric vehicleiIn a first direction
Coordinate, yiIndicate the location information X of electric vehicleiIn the coordinate of second direction；
The location information of charging pile is：Yj=[xj,yj]T, wherein xjIndicate the location information Y of charging pilejSeat in a first direction
Mark, yjIndicate the location information Y of charging pilejIn the coordinate of second direction；
The distance between automobile and charging pile are：Si=[Sxi,Syi]T, wherein SxiIt indicates between electric vehicle and charging pile the
Distance on one direction, SyiAt a distance from indicating electric vehicle between charging pile in a second direction；
Wherein, Sxi=xj-xi, SxiIt is 0 to obey average value, variance σx 2Normal distribution, Syi=yj-yi, SyiObey average value
It is 0, variance σy 2Normal distribution, and SxiAnd SyiIt is uncorrelated；
The joint probability density function of the charging pile location information is：
Wherein, n indicates the quantity of electric vehicle within the scope of the precalculated position；
Wherein,
14. the acquisition device of charging pile information according to claim 13, which is characterized in that K (Xi) be：
15. a kind of server, which is characterized in that the server includes processor, and memory is stored on the memory simultaneously
The computer program that can be run on the processor, the processor realize such as claim when executing the computer program
The step of acquisition methods of charging pile information described in any one of 1 to 7.
16. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program, the charging pile information as described in any one of claim 1 to 7 is realized when the computer program is executed by processor
The step of acquisition methods.
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