CN104390650A - Electric car route planning method and system based on cloud platform - Google Patents
Electric car route planning method and system based on cloud platform Download PDFInfo
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- CN104390650A CN104390650A CN201410645629.1A CN201410645629A CN104390650A CN 104390650 A CN104390650 A CN 104390650A CN 201410645629 A CN201410645629 A CN 201410645629A CN 104390650 A CN104390650 A CN 104390650A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
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Abstract
The invention discloses an electric car route planning method based on a cloud platform. The method comprises the following steps: acquiring charging station information and vehicle information by virtue of the cloud platform, wherein the charging station information includes the location and operating state of a charging station, and the vehicle information includes power battery information; planning a driving route of an electric car according to a starting point and a destination of the electric car and the charging station information; estimating the current maximum driving distance of the electric car according to the power battery information; judging whether the electric car can arrive at the charging station which is nearest to the electric car and stays at an operating state on the driving route or not according to the current maximum driving distance; and reserving the charging station which stays on the operating state on the driving route and the charging quantity by virtue of the cloud platform according to the power battery information if the electric car can arrive at the charging station. By adopting the method, a most appropriate driving route can be planned for the electric car, and convenience can be brought to the trip of people. The method has advantages of high flexibility and high practicability. An electric car route planning system based on the cloud platform is also provided by the invention.
Description
Technical field
The present invention relates to electric automobile and computer communication technology field, particularly a kind of electric automobile paths planning method based on cloud platform and system.
Background technology
At present, the development of electric automobile is faced with a lot of challenge with universal, and wherein the severeest is that on-vehicle battery charge storage ability is limited, and electric automobile needs when long distance travel repeatedly to charge.Construction due to charging station is a process slowly, within a very long time, is difficult to accomplish that any driving path has enough charging stations, electric automobile can be travelled arbitrarily and there will not be the situation that cannot obtain electric power timely and supplement.Therefore, when charging station quantity is also not extreme enrichment, need for rational driving path planned by electric automobile, electricity can be supplemented in time when ensureing that electric automobile travels on the path, arrive destination smoothly.
Summary of the invention
The present invention is intended to solve one of technical matters in above-mentioned correlation technique at least to a certain extent.
For this reason, one object of the present invention is to propose a kind of electric automobile paths planning method based on cloud platform, and the method can plan most suitable driving path for electric automobile, facilitates user to go on a journey, has the advantage that dirigibility is high, practical.
Another object of the present invention is to provide a kind of electric automobile path planning system based on cloud platform.
For achieving the above object, the embodiment of first aspect present invention proposes a kind of electric automobile paths planning method based on cloud platform, comprise the following steps: cloud platform collects charge station information and information of vehicles, wherein, described charge station information comprises charging station position and operation state, and described information of vehicles comprises power battery information; The driving path of described electric automobile is planned according to the departure place of electric automobile, destination and described charge station information; The current maximum operating range of described electric automobile is estimated according to described power battery information; According to described current maximum traveling Distance Judgment, whether electric automobile can reach the charging station being in operation state that on described driving path, electric automobile described in distance is nearest; If so, then described cloud platform preengages the charging station being in operation state on described driving path and charge volume according to described power battery information.
According to the electric automobile paths planning method based on cloud platform of the embodiment of the present invention, collect charge station information and information of vehicles, be electric automobile planning driving path according to the departure place of electric automobile, destination and charge station information, and the current maximum operating range of electric automobile can reach distance electric automobile on driving path nearest be in the charging station of operation state time, be electric automobile reservation charging station and corresponding charge volume according to the power battery information of electric automobile.Therefore, the method can plan most suitable driving path for electric automobile, can avoid the situation causing because travel route is unreasonable can not continuing because arriving next charging station to travel, facilitate user to go on a journey, the method has high, the practical advantage of dirigibility.
In addition, the electric automobile paths planning method based on cloud platform according to the above embodiment of the present invention can also have following additional technical characteristic:
In one embodiment of the invention, described charging station comprises private charging station and public charging station, wherein, when described electric automobile is in described private charging station charging complete, described cloud platform calculates charge integrate according to charge volume, and the owner of described private charging station obtains described charge integrate from described cloud platform.
In one embodiment of the invention, described charging station and described cloud platform carry out wire communication, and described electric automobile and described cloud platform carry out radio communication.
In one embodiment of the invention, also comprise: if electric automobile cannot reach the charging station being in operation state that on described driving path, electric automobile described in distance is nearest according to described current maximum traveling Distance Judgment, described cloud platform sends warning to described electric automobile.
Second aspect present invention embodiment still provides a kind of electric automobile path planning system based on cloud platform, comprising: cloud platform, charging station and electric automobile, wherein, described charging station communicates with described cloud platform with described electric automobile, described cloud platform is for collecting charge station information and information of vehicles, and according to the departure place of electric automobile, destination and described charge station information plan the driving path of described electric automobile, the current maximum operating range of described electric automobile is estimated according to described power battery information, and whether electric automobile can reach the charging station being in operation state that on described driving path, electric automobile described in distance is nearest according to described current maximum traveling Distance Judgment, and if, then described cloud platform preengages the charging station being in operation state on described driving path and charge volume according to described power battery information, wherein, described charge station information comprises charging station position and operation state, described information of vehicles comprises power battery information.
According to the electric automobile path planning system based on cloud platform of the embodiment of the present invention, collect charge station information and information of vehicles, be electric automobile planning driving path according to the departure place of electric automobile, destination and charge station information, and the current maximum operating range of electric automobile can reach distance electric automobile on driving path nearest be in the charging station of operation state time, be electric automobile reservation charging station and corresponding charge volume according to the power battery information of electric automobile.Therefore, this system can plan most suitable driving path for electric automobile, can avoid the situation causing because travel route is unreasonable can not continuing because arriving next charging station to travel, facilitate user to go on a journey, this system has high, the practical advantage of dirigibility.
In addition, the electric automobile path planning system based on cloud platform according to the above embodiment of the present invention can also have following additional technical characteristic:
In one embodiment of the invention, described charging station comprises private charging station and public charging station, wherein, when described electric automobile is in described private charging station charging complete, described cloud platform calculates charge integrate according to charge volume, and the owner of described private charging station obtains described charge integrate from described cloud platform.
In one embodiment of the invention, described charging station and described cloud platform carry out wire communication, and described electric automobile and described cloud platform carry out radio communication.
In one embodiment of the invention, described cloud platform also for cannot reach at electric automobile according to described current maximum traveling Distance Judgment electric automobile described in distance on described driving path nearest be in the charging station of operation state time, send warning to described electric automobile.
The aspect that the present invention adds and advantage will part provide in the following description, and part will become obvious from the following description, or be recognized by practice of the present invention.
Accompanying drawing explanation
Above-mentioned and/or additional aspect of the present invention and advantage will become obvious and easy understand from accompanying drawing below combining to the description of embodiment, wherein:
Fig. 1 is according to an embodiment of the invention based on the process flow diagram of the electric automobile paths planning method of cloud platform;
Fig. 2 is in accordance with another embodiment of the present invention based on the process flow diagram of the electric automobile paths planning method of cloud platform;
Fig. 3 is according to the electric automobile paths planning method connection diagram when embody rule of one embodiment of the invention based on cloud platform;
Fig. 4 is electric automobile path planning schematic diagram according to an embodiment of the invention; And
Fig. 5 is according to an embodiment of the invention based on the structured flowchart of the electric automobile paths planning method of cloud platform.
Embodiment
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Be exemplary below by the embodiment be described with reference to the drawings, be intended to for explaining the present invention, and can not limitation of the present invention be interpreted as.
In addition, term " first ", " second " only for describing object, and can not be interpreted as instruction or hint relative importance or imply the quantity indicating indicated technical characteristic.Thus, be limited with " first ", the feature of " second " can express or impliedly comprise one or more these features.In describing the invention, the implication of " multiple " is two or more, unless otherwise expressly limited specifically.
In the present invention, unless otherwise clearly defined and limited, the term such as term " installation ", " being connected ", " connection ", " fixing " should be interpreted broadly, and such as, can be fixedly connected with, also can be removably connect, or connect integratedly; Can be mechanical connection, also can be electrical connection; Can be directly be connected, also indirectly can be connected by intermediary, can be the connection of two element internals.For the ordinary skill in the art, above-mentioned term concrete meaning in the present invention can be understood as the case may be.
In the present invention, unless otherwise clearly defined and limited, fisrt feature second feature it " on " or D score can comprise the first and second features and directly contact, also can comprise the first and second features and not be directly contact but by the other characterisation contact between them.And, fisrt feature second feature " on ", " top " and " above " comprise fisrt feature directly over second feature and oblique upper, or only represent that fisrt feature level height is higher than second feature.Fisrt feature second feature " under ", " below " and " below " comprise fisrt feature directly over second feature and oblique upper, or only represent that fisrt feature level height is less than second feature.
The electric automobile paths planning method based on cloud platform according to the embodiment of the present invention and system are described with reference to the accompanying drawings.
Fig. 1 is according to an embodiment of the invention based on the process flow diagram of the electric automobile paths planning method of cloud platform.Fig. 2 is in accordance with another embodiment of the present invention based on the process flow diagram of the electric automobile paths planning method of cloud platform.Shown in composition graphs 1 and Fig. 2, the method comprises the following steps:
Step S101, cloud platform collects charge station information and information of vehicles, and wherein, charge station information comprises charging station position and operation state, and information of vehicles comprises power battery information.Wherein, in an embodiment of the invention, such as charging station and cloud platform carry out wire communication, and electric automobile and cloud platform carry out radio communication.
In example particularly, as shown in Figure 3, electric automobile is provided with vehicle-mounted computer, and vehicle-mounted computer is connected with cloud platform by wireless network, and wireless network such as comprises: GPRS, EDGE, CDMA, 3G, 4G, Wi-Fi or other remote-wireless communication mode.Then, the driving path of electric automobile, current power consumption speed, dump energy and current location are uploaded to cloud platform by vehicle-mounted computer.Electric automobile charging station is connected with cloud platform by cable network, and current location information and operation state (normally do business/suspend business) information are sent to cloud platform.
Step S102, according to the driving path of the departure place of electric automobile, destination and charge station information planning electric automobile.
Specifically, before electric automobile sets out, electric automobile car owner such as arranges destination by vehicle-mounted computer, and destination information is uploaded to cloud platform.The current location of electric automobile is labeled as A by cloud platform, is B by its destination tag.Current being in is being just C={c at the aggregated label of the charging station (comprising public charging station and private charging station) of operation state by cloud platform
1, c
2..., c
m, wherein c
jrepresent be numbered j (j=1,2 ..., M) the position of charging station, M represents current and is in just in the quantity of the charging station of operation state.Reference position A, destination B and set C are formed the location sets H={h that may pass through in the whole driving process of electric automobile by cloud platform jointly
0, h
1, h
2..., h
m, h
n-1, wherein h
0=A, h
i=c
i(i=1,2 ..., M), h
n-1=B, N=M+2.
Further, the road distance in cloud platform set of computations H between any two points, h
iand h
jbetween distance be expressed as d
i,j(i, j=0,1,2 ..., N-1); If h
iand h
jbetween do not have road to be directly communicated with, then d
i,j=∞, ∞ represent that distance is for infinitely great.And then cloud platform obtains Distance matrix D
n × N,
Wherein, if i=j (i, j=0,1,2 ..., N-1), then d
i,j=0.
Step S103, estimates the current maximum operating range of electric automobile according to power battery information.
Specifically, as shown in Figure 3, before electric automobile sets out, when electric automobile mark, current location, battery status, battery are full of by vehicle-mounted computer, electricity and current residual information about power are sent to cloud platform automatically, maximum enforcement distance l when cloud platform calculates battery Full Charge Capacity respectively according to these information
0with the ultimate range l ' that current residual electricity can be exercised
0.
Whether step S104, can reach according to current maximum traveling Distance Judgment electric automobile the charging station being in operation state that on driving path, distance electric automobile is nearest.
Specifically, cloud platform calculates first charging station that may arrive according to current residual electricity, for d
0, i(i=001,2 ..., N-1), if l '
0< d
0, i(represent the dump energy current according to electric automobile, the charging station being numbered i cannot be driven to), then d
0, i=∞; In like manner, for d
i, 0(i=0,1,2 ..., N-1), if l '
0< d
i, 0, then d
i, 0=∞.
It should be noted that, if electric automobile current residual electricity cannot arrive any one charging station on path, then represent that current residual electricity is not enough, cloud platform can advise that car owner continues as charging electric vehicle or changes to other vehicles.
Further, cloud platform according to the maximum operating range of electric automobile when battery is full of, further corrected range matrix D
n × N, for d
i, j(i, j=0,1,2 ..., N-1), if l
0< d
i, j(even if represent according to electric automobile when battery is full of, also directly cannot drive to from the charging station being numbered i the charging station being numbered j), then d
i, j=∞.
Cloud platform adopts Depth Priority Algorithm, according to up-to-date Distance matrix D
n × N, calculate the driving path from A to B, make total travel distance the shortest, and this traveling scheme is sent to electric automobile vehicle mounted electric brain.Wherein, if there is no feasible traveling scheme, then advise that car owner uses other mode of transportation instead.
Step S105, if so, then cloud platform is according to the charging station being in operation state on power battery information reservation driving path and charge volume.Wherein, in some instances, charging station comprises private charging station and public charging station, and private charging station and public charging station can accept reservation, only accepts subscriber charging in special time period.Specifically, private charging station is provided with smart jack, can by communication and cloud Platform communication.Further, when electric automobile is in private charging station charging complete, cloud platform calculates charge integrate according to charge volume, and the owner of private charging station obtains charge integrate from cloud platform.
In other words, namely cloud platform calculates charge volume at each charging station according to the optimum driving path obtained.In the process of moving, electric automobile vehicle mounted electric brain uploads to cloud platform current for electric automobile power consumption speed, dump energy and positional information, cloud platform preengages next charging station automatically according to current driving situation, after charging station receives reserve requests, stop to other charging electric vehicle in subscription time section.Like this, when electric automobile arrives, without the need to waiting for, directly starting charging, saving car owner's time.
When the private charging station of electric automobile on driving path charges, first set this electricity needing to supplement and estimate the duration of charging, and uploading to cloud platform by vehicle-mounted computer; Secondly, cloud platform sends charge request to the private charging station owner, and after charge request is allowed by the owner, smart jack is energized automatically, and electric automobile car owner can charge; After charging complete, electric automobile car owner needs to pay integration according to actual charge volume and actual duration of charging to the private charging station owner; The private charging station owner then obtains corresponding integration by cloud platform.On the other hand, when the public charging station of electric automobile on driving path charges, both can pay with integration, also can be paid by other currency.
Further, if the nearest charging station being in operation state of distance electric automobile on driving path cannot be reached according to current maximum traveling Distance Judgment electric automobile, cloud platform sends warning to electric automobile, such as, advise that car owner continues as charging electric vehicle or changes other vehicles into.
Wherein, in the examples described above, cloud platform can distribute a unique mark for every electric automobile car owner, if certain electric automobile car owner is also the owner of certain private charging station simultaneously, then car owner and private charging station share a mark.
As a concrete example, Fig. 4 is the object lesson how cloud platform carries out path planning.As shown in Figure 4, homeposition is A, and destination is B, and charging station (comprising public charging station and private charging station) is C={c
1, c
2, c
3, c
4, c
5, charging station quantity M=5.A, B and set C are formed the location sets H={h that may pass through in the whole driving process of electric automobile by cloud platform jointly
0, h
1, h
2, h
3, h
4, h
5, h
6, wherein h
0=A, h
i=c
i(i=1,2 ..., 5), h
6=B, N=M+2=7.Next, the road distance in cloud platform set of computations H between any two points, h
iand h
jbetween distance be expressed as d
i, j(i, j=0,1,2 ..., 6); If h
iand h
jbetween do not have road to be directly communicated with, then d
i, j=∞, ∞ represent that distance is for infinitely great.Obtain Distance matrix D
7 × 7,
Further, setting out the moment, the distance that the dump energy of electric automobile can be exercised at most is l '
0=2, therefore, electric automobile can arrive charging station c at most
1(without charging, electric automobile directly cannot arrive c
2and c
5).Further, according to the ultimate range l that electric automobile can be exercised when electricity is full of
0=4 judge, electric automobile cannot directly from c
5arrive c
4.So, can obtain revised Distance matrix D '
7 × 7,
Then according to D '
7 × 7, cloud platform adopts Depth Priority Algorithm, can obtain optimum electric automobile during traveling path for { A, c
1, c
2, c
3, B}.
In addition, according to optimal path, cloud platform also needs to calculate the charge volume at each charging station, according to D '
7 × 7, the charging station { c on path
1, c
2, c
3a kind of charging scheme that can adopt is { 1,3,2}.According to this charging scheme, at public charging station { c
1, c
3need the expense paid for 1,2}, at private charging station c
2the integration paid is needed to be 3.
According to the electric automobile paths planning method based on cloud platform of the embodiment of the present invention, collect charge station information and information of vehicles, be electric automobile planning driving path according to the departure place of electric automobile, destination and charge station information, and the current maximum operating range of electric automobile can reach distance electric automobile on driving path nearest be in the charging station of operation state time, be electric automobile reservation charging station and corresponding charge volume according to the power battery information of electric automobile.Therefore, the method can plan most suitable driving path for electric automobile, can avoid the situation causing because travel route is unreasonable can not continuing because arriving next charging station to travel, facilitate user to go on a journey, the method has high, the practical advantage of dirigibility.
Further embodiment of the present invention additionally provides a kind of electric automobile path planning system based on cloud platform.
Fig. 5 is according to an embodiment of the invention based on the structured flowchart of the electric automobile path planning system of cloud platform.As shown in Figure 5, this system 500 comprises cloud platform 510, charging station 520 and electric automobile 530.
Wherein, charging station 520 communicates with cloud platform 510 with electric automobile 530.Cloud platform 510 is for collecting charge station information and information of vehicles, and according to the departure place of electric automobile 530, the driving path of destination and charge station information planning electric automobile 530, the current maximum operating range of electric automobile 530 is estimated according to power battery information, and whether can reach the nearest charging station 520 being in operation state of distance electric automobile 530 on driving path according to current maximum traveling Distance Judgment electric automobile 530, and if, then cloud platform 510 is according to the charging station 520 being in operation state on power battery information reservation driving path and charge volume, wherein, charge station information comprises charging station position and operation state, information of vehicles comprises power battery information.
In some instances, charging station 520 and cloud platform 510 carry out wire communication, and electric automobile 530 and cloud platform 510 carry out radio communication.In example particularly, as shown in Figure 3, electric automobile 530 is provided with vehicle-mounted computer, and vehicle-mounted computer is connected with cloud platform 510 by wireless network, and wireless network such as comprises: GPRS, EDGE, CDMA, 3G, 4G, Wi-Fi or other remote-wireless communication mode.Then, the driving path of electric automobile 530, current power consumption speed, dump energy and current location are uploaded to cloud platform 530 by vehicle-mounted computer.Electric automobile charging station 520 is connected with cloud platform 510 by cable network, and current location information and operation state (normally do business/suspend business) information are sent to cloud platform 510.
Before electric automobile 530 sets out, electric automobile car owner such as arranges destination by vehicle-mounted computer, and destination information is uploaded to cloud platform 510.The current location of electric automobile 530 is labeled as A by cloud platform 510, is B by its destination tag.Current being in is being just C={c at the aggregated label of the charging station 520 (comprising public charging station and private charging station) of operation state by cloud platform 510
1, c
2..., c
m, wherein c
jrepresent be numbered j (j=1,2 ..., M) the position of charging station, M represents current and is in just in the quantity of the charging station 520 of operation state.Reference position A, destination B and set C are formed the location sets H={h that may pass through in the whole driving process of electric automobile 530 by cloud platform 510 jointly
0, h
1, h
2..., h
m, h
n-1, wherein h
0=A, h
i=c
i(i=1,2 ..., M), h
n-1=B, N=M+2.
In addition, as shown in Figure 3, before electric automobile 530 sets out, when electric automobile mark, current location, battery status, battery are full of by vehicle-mounted computer, electricity and current residual information about power are sent to cloud platform 510 automatically, maximum enforcement distance l when cloud platform 510 calculates battery Full Charge Capacity respectively according to these information
0with the ultimate range l ' that current residual electricity can be exercised
0.
Further, the road distance in cloud platform 510 set of computations H between any two points, h
iand h
jbetween distance be expressed as d
i, j(i, j=0,1,2 ..., N-1); If h
iand h
jbetween do not have road to be directly communicated with, then d
i, j=∞, ∞ represent that distance is for infinitely great.And then cloud platform 510 obtains Distance matrix D
n × N,
Wherein, if i=j (i, j=0,1,2 ..., N-1), then d
i, j=0.
Cloud platform 510 calculates first charging station that may arrive according to current residual electricity, for d
0, i(i=0,1,2 ..., N-1), if l '
0< d
0, i(represent the dump energy current according to electric automobile 530, the charging station being numbered i cannot be driven to), then d
0, i=∞; In like manner, for d
i, 0(i=0,1,2 ..., N-1), if l '
0< d
i, 0, then d
i, 0=∞.
It should be noted that, if electric automobile 530 current residual electricity cannot arrive any one charging station 520 on path, then represent that current residual electricity is not enough, cloud platform 510 can advise that car owner continues as electric automobile 530 and charges or change to other vehicles.
Further, cloud platform 510 according to the maximum operating range of electric automobile 530 when battery is full of, further corrected range matrix D
n × N, for d
i, j(i, j=0,1,2 ..., N-1), if l
0< d
i, j(even if represent according to electric automobile 530 when battery is full of, also directly cannot drive to from the charging station being numbered i the charging station being numbered j), then d
i, j=∞.
Cloud platform 510 adopts Depth Priority Algorithm, according to up-to-date Distance matrix D
n × N, calculate the driving path from A to B, make total travel distance the shortest, and this traveling scheme is sent to electric automobile vehicle mounted electric brain.Wherein, if there is no feasible traveling scheme, then advise that car owner uses other mode of transportation instead.
In some instances, charging station 520 comprises private charging station and public charging station, wherein, when electric automobile 530 is in private charging station charging complete, cloud platform 510 calculates charge integrate according to charge volume, and the owner of private charging station obtains charge integrate from cloud platform 510.Specifically, private charging station is provided with smart jack, can be communicated with cloud platform 510 by communication.Further, when electric automobile 530 is in private charging station charging complete, cloud platform 510 calculates charge integrate according to charge volume, and the owner of private charging station obtains charge integrate from cloud platform 510.
In other words, namely cloud platform 510 calculates charge volume at each charging station 520 according to the optimum driving path obtained.In the process of moving, electric automobile vehicle mounted electric brain uploads to cloud platform 510 the current power consumption speed of electric automobile 530, dump energy and positional information, cloud platform 510 preengages next charging station 520 automatically according to current driving situation, after charging station 520 receives reserve requests, stop to other charging electric vehicle in subscription time section.Like this, when electric automobile 530 reaches, without the need to waiting for, directly starting charging, saving car owner's time.
When the private charging station of electric automobile 530 on driving path charges, first set this electricity needing to supplement and estimate the duration of charging, and uploading to cloud platform 510 by vehicle-mounted computer; Secondly, cloud platform 510 sends charge request to the private charging station owner, and after charge request is allowed by the owner, smart jack is energized automatically, and electric automobile car owner can charge; After charging complete, electric automobile car owner needs to pay integration according to actual charge volume and actual duration of charging to the private charging station owner; The private charging station owner then obtains corresponding integration by cloud platform 510.On the other hand, when the public charging station of electric automobile 530 on driving path charges, both can pay with integration, also can be paid by other currency.
In one embodiment of the invention, cloud platform 510 also for cannot reach according to current maximum traveling Distance Judgment electric automobile 530 distance electric automobile 530 on driving path nearest be in the charging station 520 of operation state time, send warning to electric automobile 530, such as, advise that car owner continues as charging electric vehicle or changes other vehicles into.
Wherein, in the examples described above, cloud platform 510 can distribute a unique mark for every electric automobile car owner, if certain electric automobile car owner is also the owner of certain private charging station simultaneously, then car owner and private charging station share a mark.
For the concrete exemplary description of this system 500 see the description part of the above-mentioned method to the embodiment of the present invention, be reduce redundancy, repeat no more herein.
According to the electric automobile path planning system based on cloud platform of the embodiment of the present invention, collect charge station information and information of vehicles, be electric automobile planning driving path according to the departure place of electric automobile, destination and charge station information, and the current maximum operating range of electric automobile can reach distance electric automobile on driving path nearest be in the charging station of operation state time, be electric automobile reservation charging station and corresponding charge volume according to the power battery information of electric automobile.Therefore, this system can plan most suitable driving path for electric automobile, can avoid the situation causing because travel route is unreasonable can not continuing because arriving next charging station to travel, facilitate user to go on a journey, this system has high, the practical advantage of dirigibility.
Describe and can be understood in process flow diagram or in this any process otherwise described or method, represent and comprise one or more for realizing the module of the code of the executable instruction of the step of specific logical function or process, fragment or part, and the scope of the preferred embodiment of the present invention comprises other realization, wherein can not according to order that is shown or that discuss, comprise according to involved function by the mode while of basic or by contrary order, carry out n-back test, this should understand by embodiments of the invention person of ordinary skill in the field.
In flow charts represent or in this logic otherwise described and/or step, such as, the sequencing list of the executable instruction for realizing logic function can be considered to, may be embodied in any computer-readable medium, for instruction execution system, device or equipment (as computer based system, comprise the system of processor or other can from instruction execution system, device or equipment instruction fetch and perform the system of instruction) use, or to use in conjunction with these instruction execution systems, device or equipment.With regard to this instructions, " computer-readable medium " can be anyly can to comprise, store, communicate, propagate or transmission procedure for instruction execution system, device or equipment or the device that uses in conjunction with these instruction execution systems, device or equipment.The example more specifically (non-exhaustive list) of computer-readable medium comprises following: the electrical connection section (electronic installation) with one or more wiring, portable computer diskette box (magnetic device), random access memory (RAM), ROM (read-only memory) (ROM), erasablely edit ROM (read-only memory) (EPROM or flash memory), fiber device, and portable optic disk ROM (read-only memory) (CDROM).In addition, computer-readable medium can be even paper or other suitable media that can print described program thereon, because can such as by carrying out optical scanning to paper or other media, then carry out editing, decipher or carry out process with other suitable methods if desired and electronically obtain described program, be then stored in computer memory.
Should be appreciated that each several part of the present invention can realize with hardware, software, firmware or their combination.In the above-described embodiment, multiple step or method can with to store in memory and the software performed by suitable instruction execution system or firmware realize.Such as, if realized with hardware, the same in another embodiment, can realize by any one in following technology well known in the art or their combination: the discrete logic with the logic gates for realizing logic function to data-signal, there is the special IC of suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc.
Those skilled in the art are appreciated that realizing all or part of step that above-described embodiment method carries is that the hardware that can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, this program perform time, step comprising embodiment of the method one or a combination set of.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing module, also can be that the independent physics of unit exists, also can be integrated in a module by two or more unit.Above-mentioned integrated module both can adopt the form of hardware to realize, and the form of software function module also can be adopted to realize.If described integrated module using the form of software function module realize and as independently production marketing or use time, also can be stored in a computer read/write memory medium.
The above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.
In the description of this instructions, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means to describe in conjunction with this embodiment or example are contained at least one embodiment of the present invention or example.In this manual, identical embodiment or example are not necessarily referred to the schematic representation of above-mentioned term.And the specific features of description, structure, material or feature can combine in an appropriate manner in any one or more embodiment or example.
Although illustrate and describe embodiments of the invention above, be understandable that, above-described embodiment is exemplary, can not be interpreted as limitation of the present invention, those of ordinary skill in the art can change above-described embodiment within the scope of the invention when not departing from principle of the present invention and aim, revising, replacing and modification.
Claims (8)
1., based on an electric automobile paths planning method for cloud platform, it is characterized in that, comprise the following steps:
Cloud platform collects charge station information and information of vehicles, and wherein, described charge station information comprises charging station position and operation state, and described information of vehicles comprises power battery information;
The driving path of described electric automobile is planned according to the departure place of electric automobile, destination and described charge station information;
The current maximum operating range of described electric automobile is estimated according to described power battery information;
According to described current maximum traveling Distance Judgment, whether electric automobile can reach the charging station being in operation state that on described driving path, electric automobile described in distance is nearest;
If so, then described cloud platform preengages the charging station being in operation state on described driving path and charge volume according to described power battery information.
2. the electric automobile paths planning method based on cloud platform according to claim 1, it is characterized in that, described charging station comprises private charging station and public charging station, wherein,
When described electric automobile is in described private charging station charging complete, described cloud platform calculates charge integrate according to charge volume, and the owner of described private charging station obtains described charge integrate from described cloud platform.
3. the electric automobile paths planning method based on cloud platform according to claim 1, is characterized in that, described charging station and described cloud platform carry out wire communication, and described electric automobile and described cloud platform carry out radio communication.
4. the electric automobile paths planning method based on cloud platform according to claim 1, it is characterized in that, also comprise: if electric automobile cannot reach the charging station being in operation state that on described driving path, electric automobile described in distance is nearest according to described current maximum traveling Distance Judgment, described cloud platform sends warning to described electric automobile.
5. based on an electric automobile path planning system for cloud platform, it is characterized in that, comprising: cloud platform, charging station and electric automobile, wherein,
Described charging station communicates with described cloud platform with described electric automobile;
Described cloud platform is for collecting charge station information and information of vehicles, and according to the departure place of electric automobile, destination and described charge station information plan the driving path of described electric automobile, the current maximum operating range of described electric automobile is estimated according to described power battery information, and whether electric automobile can reach the charging station being in operation state that on described driving path, electric automobile described in distance is nearest according to described current maximum traveling Distance Judgment, and if, then described cloud platform preengages the charging station being in operation state on described driving path and charge volume according to described power battery information,
Wherein, described charge station information comprises charging station position and operation state, and described information of vehicles comprises power battery information.
6. the electric automobile path planning system based on cloud platform according to claim 5, it is characterized in that, described charging station comprises private charging station and public charging station, wherein,
When described electric automobile is in described private charging station charging complete, described cloud platform calculates charge integrate according to charge volume, and the owner of described private charging station obtains described charge integrate from described cloud platform.
7. the electric automobile path planning system based on cloud platform according to claim 5, is characterized in that, described charging station and described cloud platform carry out wire communication, and described electric automobile and described cloud platform carry out radio communication.
8. the electric automobile path planning system based on cloud platform according to claim 5, it is characterized in that, described cloud platform also for cannot reach at electric automobile according to described current maximum traveling Distance Judgment electric automobile described in distance on described driving path nearest be in the charging station of operation state time, send warning to described electric automobile.
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