CN111209493B - Charging station recommendation method, device, equipment and medium - Google Patents
Charging station recommendation method, device, equipment and medium Download PDFInfo
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- 238000004590 computer program Methods 0.000 claims description 6
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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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
- Y02T90/12—Electric charging stations
Abstract
The invention discloses a charging station recommending method, which relates to the technical field of electric automobile charging and is used for solving the problem of poor user experience caused by recommending a charging station in a single dimension, and the method comprises the following steps: acquiring current position information of a user; screening out charging stations in a preset geographic range according to the current position information of a user, and screening the use state of the charging stations in the preset geographic range to obtain a selectable charging station list; carrying out multidimensional scoring on the charging stations in the selectable charging station list according to preset conditions; and recommending the charging station with the highest score to the user according to the scoring result. The invention also discloses a charging station recommending device, electronic equipment and a computer storage medium. According to the invention, the charging stations are scored in multiple dimensions, so that the most suitable charging stations are recommended for users.
Description
Technical Field
The invention relates to the technical field of electric automobile charging, in particular to a method, a device, equipment and a medium for recommending a charging station.
Background
Recently, more and more people select electric new energy automobiles as travel tools; even countries have introduced fuel vehicle forbidden schedules for environmental protection purposes. With more and more electric new energy automobiles, the charging stations for charging the same are also increasing.
Currently, there are also many APP for helping a vehicle owner find a charging pile or a charging station, and the APP recommends the charging pile to recommend the charging station based on a single dimension, for example, recommending the charging station with the shortest distance based on a linear distance.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the purposes of the invention is to provide a charging station recommending method, which recommends the most suitable charging station for a user by carrying out multi-dimensional scoring on the charging station.
One of the purposes of the invention is realized by adopting the following technical scheme:
a charging station recommendation method, comprising the steps of:
acquiring current position information of a user;
screening out charging stations in a preset geographic range according to the current position information of a user, and screening the use state of the charging stations in the preset geographic range to obtain a selectable charging station list;
carrying out multidimensional scoring on the charging stations in the selectable charging station list according to preset conditions;
and recommending the charging station with the highest score to the user according to the scoring result.
Further, the preset geographic range is a geographic area with a radius of 30 km by taking the current position of the user as a circle center.
Further, screening the use state of the charging stations in the preset geographic range to obtain an optional charging station list, which comprises the following steps:
and filtering the charging stations meeting the filtering conditions according to the use states of the charging stations in the preset geographic range to obtain the selectable charging station list, wherein the filtering conditions comprise suspended service, unavailable charging piles and unavailable parking spaces.
Further, the preset conditions include a linear distance from the current position of the user to the charging station, an available charging pile density, a charging station parking fee, charging information and a path.
Further, a multi-dimensional grading is carried out on the charging stations in the selectable charging station list according to preset conditions, the grading of each dimension is added, and the grading result is obtained, wherein the multi-dimensional grading comprises the following steps:
sequentially calculating the linear distances between the charging stations in the selectable charging station list and the current position of the user, sequencing the linear distances in ascending order, and taking the charging stations sequenced in the first N to perform adding and dividing;
sorting the available charging pile densities of the charging stations in the selectable charging station list in a descending order, and taking and sorting the charging stations sorted in the first N to carry out adding;
sorting the parking fees of the charging stations in the selectable charging station list in ascending order, and adding the 5 charging stations with no parking fees and lowest parking fees;
sorting charging fees of the charging stations in the selectable charging station list in ascending order, and adding points to 5 charging stations with the lowest charging fees;
and acquiring a path plan from the current position of the user to the charging station and a license plate number of the user, and subtracting the charging station of which the path plan passes through a congestion area or a restricted area.
Further, recommending the charging station with the highest score to the user according to the scoring result, and further comprising the following steps:
judging whether the charging station with the highest score in the same time period is a recommended charging station of other users or not;
when the charging station with the highest score is not the recommended charging station of other users, or when the charging station with the highest score is the recommended charging station of other users and the number of idle charging piles is larger than the number of recommended users, the charging station with the highest score is directly recommended to the users;
when the charging station with the highest score is a recommended charging station of other users and the number of idle charging piles is smaller than the number of recommended users, the scores of all the recommended users of the charging station with the highest score are arranged in a descending order, and idle charging piles are matched for all the recommended users in sequence from high to low according to the scores until all the idle charging piles are successfully matched; and recommending a charging station with a second grading to the user when the user is not matched with the idle charging stake of the charging station with the highest grading.
Further, after recommending the charging station with the highest score to the user, the method further comprises the following steps:
receiving the charging station selected by the user;
locking an idle charging pile in one of the charging stations for the user;
and when the user starts charging or is locked for more than a preset time, unlocking.
Another object of the present invention is to provide a charging station recommendation device that recommends the most suitable charging station for the user by performing multi-dimensional scoring on the charging station.
The second purpose of the invention is realized by adopting the following technical scheme:
a charging station recommendation device, comprising:
the acquisition module is used for acquiring the current position information of the user;
the filtering module is used for screening out charging stations in a preset geographic range according to the current position information of the user, and screening the use state of the charging stations in the preset geographic range to obtain a selectable charging station list;
the scoring module is used for performing multidimensional scoring on the charging stations in the selectable charging station list according to preset conditions;
and the pushing module is used for recommending the charging station with the highest score to the user according to the scoring result.
It is a third object of the present invention to provide an electronic device for performing one of the objects of the present invention, comprising a processor, a storage medium, and a computer program stored in the storage medium, which when executed by the processor, implements the charging station recommendation method described above.
It is a fourth object of the present invention to provide a computer-readable storage medium storing one of the objects of the present invention, on which a computer program is stored which, when executed by a processor, implements the above-mentioned charging station recommendation method.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the charging stations are screened according to the use states of the charging stations, the charging stations are scored in multiple dimensions, the charging station with the highest score is recommended to a user, the most suitable charging station is provided for the user according to the scores in multiple dimensions, the user experience is improved, and the operation cost of the charging station is reduced.
Drawings
Fig. 1 is a flowchart of a charging station recommendation method of the first embodiment;
fig. 2 is a flowchart of a charging station scoring method according to the first embodiment;
fig. 3 is a flowchart of a charging station recommendation method of the second embodiment;
FIG. 4 is a flow chart of a method of locking a secondary charging station according to an embodiment;
fig. 5 is a block diagram of a structure of a charging station recommending apparatus of the third embodiment;
fig. 6 is a block diagram of the electronic device of the fourth embodiment.
Detailed Description
The invention will now be described in more detail with reference to the accompanying drawings, to which it should be noted that the description is given below by way of illustration only and not by way of limitation. Various embodiments may be combined with one another to form further embodiments not shown in the following description.
Example 1
An embodiment provides a charging station recommending method, which aims at evaluating charging stations through a plurality of conditions by screening the charging stations in a certain range so as to provide the most suitable charging stations for users.
In this embodiment, the charging station recommended service is mainly provided to the user through the mobile phone Web page or the mobile phone APP, the information of the charging station is stored in advance in the server executing the method, and the service conditions of the charging station, such as the idle charging pile condition, the idle parking space condition, and the like, are updated in real time, so the charging station according to the embodiment is mainly a charging station with a networking function, so that the station condition is updated in real time.
Referring to fig. 1, a method for recommending a charging station is disclosed, which comprises the following steps:
s110, acquiring current position information of a user;
the current location information of the user in S110 is obtained by calling an API interface of the third party map, for example, a hundred degree map, a german map, etc.
S120, screening out charging stations in a preset geographic range according to the current position information of the user, and screening the use state of the charging stations in the preset geographic range to obtain a selectable charging station list;
the preset geographical range in this embodiment is a circular range formed by a radius of 30 km at the current position of the user, that is, a radius of 30 km with the current position of the user as the center of a circle, and the charging stations included in the circular range form an optional charging station list. Of course, the preset geographic range can be set according to the actual situation of the urban charging stations, when the charging stations are fewer, the preset geographic range can be properly increased, and otherwise, the preset geographic range can be properly reduced.
In S120, screening the usage status of the charging stations in the preset geographic range to obtain an optional charging station list, and further including the following steps:
and filtering the charging stations meeting the filtering conditions according to the use states of the charging stations in the preset geographic range to obtain the selectable charging station list, wherein the filtering conditions comprise suspended service, unavailable charging piles and unavailable parking spaces.
The filtering is performed according to the use state of the charging station, so as to filter out the unavailable charging station. The suspended service comprises charging stations which are not in business hours and temporarily closed, the unavailable charging piles comprise charging stations which are free of free charging piles or have faults in the free charging piles, and the available vehicle space refers to a parking space of the charging station.
S130, carrying out multidimensional grading on the charging stations in the selectable charging station list according to preset conditions;
in this embodiment, the preset conditions include a linear distance from the current position of the user to the charging station, an available charging pile density, a charging station parking fee, charging fee information, and a path. Of course, the preset condition may be increased according to the actual situation.
Referring to fig. 2, the multi-dimensional scoring is performed on the charging stations in the selectable charging station list according to a preset condition, and the scoring of each dimension is added to obtain the scoring result, where the multi-dimensional scoring includes the following steps:
s1301, sequentially calculating the linear distances between the charging stations in the selectable charging station list and the current position of the user, sorting the linear distances in ascending order, and taking the charging stations sorted in the first N to carry out adding and dividing;
in this embodiment, N is 10, and the 10 stations with the closest straight line distance from the current position of the user to the charging station are added with a score of 2. The purpose of S1301 is to recommend a charging station closer to the ground preferentially. The straight line distance calculation method in S1301 may be obtained by calling a third party map API, or may directly calculate the straight line distance through longitude and latitude, which is not limited to a specific calculation method in this embodiment.
S1302, sorting available charging pile densities of charging stations in the selectable charging station list in a descending order, and taking and sorting charging stations in the first N charging stations;
the score of S1302 is 2, and the density refers to the number of available charging piles for the current station. The purpose of S1302 is to prioritize the stations currently having a plurality of charging piles available.
S1303, sorting parking fees of the charging stations in the optional charging station list in ascending order, and adding points to 5 charging stations with the lowest parking fee without parking fees;
the server for scoring stores the parking fee price of the charging station in advance, and the scoring rule of the parking fee in this embodiment is as follows: for the free stations, 1 score is added, the paid stations are ordered in descending order according to the parking cost, and the paid stations in the top five ranks are added with 1 score. The purpose of S1303 is to preferentially select a charging station that is free of parking fees or generates a lower parking fee.
S1304, sorting charging fees of the charging stations in the selectable charging station list in ascending order, and adding points to 5 charging stations with the lowest charging fees;
the server for scoring stores the charge price of the charging station in advance. The charging cost plus division rule in this embodiment is: and (5) sorting the charging stations in ascending order according to the charging cost, wherein the charging stations ranked 5 are added with 1 score. The purpose of S1304 is to preferentially select a charging station with a lower charge rate.
S1305, obtaining a path planning from the current position of the user to the charging station and a license plate number of the user, and reducing the charging station of the path planning passing through a congestion area or a restricted area;
in S1305, the route planning is obtained by calling a third party map API, where the third party map is an application program with a function of route planning and real-time road condition detection, such as a hundred-degree map and a high-german map. The license plate number of the user is usually the license plate number recorded when the user registers, and the license plate number request can also be sent to the user side, and license plate number information returned by the user is received. The division reducing rule is that the division of 1 is reduced for the charging station which can pass through the congestion area for path planning, and the division of 1 is reduced for the charging station which passes through the restricted area. The purpose of S1305 is to reduce the duration of travel on the road and to improve efficiency.
And S140, recommending the charging station with the highest score to the user according to the scoring result.
Note that, the actual scoring is not limited to the scoring rules described in the present embodiment, and different scoring rules may be set, for example, different scoring is performed according to the ranking, and the charging stations in the first ranking are added one more score.
Example two
The second embodiment is based on the first embodiment, and mainly explains and describes a case when the same charging station is recommended to a plurality of users at the same time.
Referring to fig. 3, according to the scoring result, the charging station with the highest score is recommended to the user, and the method further includes the following steps:
s210, judging whether the charging station with the highest score in the same time period is a recommended charging station of other users;
the same time period of S210 may be set according to practical situations, and the present embodiment is not particularly limited.
S220, when the charging station with the highest score is not the recommended charging station of other users, or when the charging station with the highest score is the recommended charging station of other users and the number of idle charging piles is larger than the number of recommended users, directly recommending the charging station with the highest score to the users;
when the number of the recommended charging posts of the charging station is large, the charging station can be continuously used as the recommended charging post of other users, and the step of determining in S230 is not required.
S230, when the charging station with the highest score is a recommended charging station of other users and the number of idle charging piles is smaller than the number of recommended users, grading all the recommended users by the charging station with the highest score is arranged in a descending order, and idle charging piles are matched for all the recommended users in sequence from high to low according to the grading until all the idle charging piles are successfully matched; and recommending a charging station with a second grading to the user when the user is not matched with the idle charging stake of the charging station with the highest grading.
The charging stations in S230 are recommended to a plurality of users at the same time, but because the information of each user, such as license plate number, location of the user, etc., is different, the scores of the same charging station for different users are also different, and therefore, by comparing the scores of the charging stations for the users, the idle charging piles are preferentially matched for the users with high scores.
For users who are not matched, recommending the second charging station to the corresponding user, and of course, the related steps of S210 to S230 also need to be executed before recommending, so as to prevent the problem that queuing is caused by that the second charging station is also recommended to multiple people at the same time.
In order to prevent the charging pile from being occupied, the charging pile is locked in this embodiment, specifically, please refer to fig. 4, which includes the following steps:
s310, receiving the charging station selected by the user;
s320, locking an idle charging pile in the charging station for the user;
s330, unlocking when the user starts charging or locking for more than a preset time.
After receiving the instruction of selecting the charging station from the user, the server sends a locking message to the charging station, and the charging station completes the locking of the charging pile. The preset time in S330 is 15 minutes in the present embodiment, but may be set according to the actual situation in the actual operation.
Example III
An embodiment three discloses a device corresponding to the charging station recommendation method of the above embodiment, which is a virtual device structure of the above embodiment, referring to fig. 5, and includes:
an obtaining module 410, configured to obtain current location information of a user;
the filtering module 420 is configured to screen out charging stations within a preset geographic range according to current location information of a user, and screen out usage states of the charging stations within the preset geographic range to obtain a selectable charging station list;
the scoring module 430 is configured to score the charging stations in the selectable charging station list in a multidimensional manner according to a preset condition;
and the pushing module 440 is configured to recommend the charging station with the highest score to the user according to the scoring result.
Preferably, the preset conditions include a linear distance from a current position of the user to the charging station, an available charging pile density, a charging station parking fee, charging information and a path.
Example IV
Fig. 6 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention, as shown in fig. 6, the electronic device includes a processor 510, a memory 520, an input device 530, and an output device 540; the number of processors 510 in the computer device may be one or more, one processor 510 being taken as an example in fig. 6; the processor 510, memory 520, input device 530, and output device 540 in the electronic device may be connected by a bus or other means, for example in fig. 6.
The memory 520 is used as a computer readable storage medium, and may be used to store a software program, a computer executable program, and modules, such as program instructions/modules corresponding to the charging station recommendation method in the embodiment of the present invention (for example, the acquisition module 410, the filtering module 420, the scoring module 430, and the pushing module 430 in the charging station recommendation method device). The processor 510 executes various functional applications and data processing of the electronic device by executing software programs, instructions and modules stored in the memory 520, that is, implements the charging station recommendation method of the first and second embodiments.
Memory 520 may include primarily a program storage area and a data storage area, wherein the program storage area may store an operating system, at least one application program required for functionality; the storage data area may store data created according to the use of the terminal, etc. In addition, memory 520 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, memory 520 may further include memory located remotely from processor 510, which may be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 530 may be used to receive input user identity information, user location information, and the like. The output 540 may include a display device such as a display screen.
Example five
A fifth embodiment of the present invention also provides a storage medium containing computer-executable instructions, the storage medium being usable for a computer to perform a charging station recommendation method, the method comprising:
acquiring current position information of a user;
screening out charging stations in a preset geographic range according to the current position information of a user, and screening the use state of the charging stations in the preset geographic range to obtain a selectable charging station list;
carrying out multidimensional scoring on the charging stations in the selectable charging station list according to preset conditions;
and recommending the charging station with the highest score to the user according to the scoring result.
Of course, the storage medium containing the computer executable instructions provided in the embodiments of the present invention is not limited to the method operations described above, and may also perform the related operations in the charging station recommendation method provided in any embodiment of the present invention.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, etc., and include several instructions for causing an electronic device (which may be a mobile phone, a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.
It should be noted that, in the embodiment of the charging station recommendation method apparatus, each unit and module included are only divided according to the functional logic, but not limited to the above-mentioned division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
It will be apparent to those skilled in the art from this disclosure that various other changes and modifications can be made which are within the scope of the invention as defined in the appended claims.
Claims (7)
1. A method of charging station recommendation, comprising the steps of:
acquiring current position information of a user;
screening out charging stations in a preset geographic range according to the current position information of a user, and screening the use state of the charging stations in the preset geographic range to obtain a selectable charging station list;
carrying out multidimensional scoring on the charging stations in the selectable charging station list according to preset conditions, wherein the preset conditions comprise the linear distance from the current position of the user to the charging stations, the density of available charging piles, the parking fee of the charging stations and charging information and paths;
adding the scores of each dimension to obtain a scoring result, and judging whether the charging station with the highest score in the same time period is a recommended charging station of other users; when the charging station with the highest score is not the recommended charging station of other users, or when the charging station with the highest score is the recommended charging station of other users and the number of idle charging piles is larger than the number of recommended users, the charging station with the highest score is directly recommended to the users;
when the charging station with the highest score is a recommended charging station of other users and the number of idle charging piles is smaller than the number of recommended users, the scores of all the recommended users of the charging station with the highest score are arranged in a descending order, and idle charging piles are matched for all the recommended users in sequence from high to low according to the scores until all the idle charging piles are successfully matched; recommending a charging station with a second score to the user when the user does not match with the idle charging stake of the charging station with the highest score;
the multi-dimensional scoring comprises the steps of:
sequentially calculating the linear distances between the charging stations in the selectable charging station list and the current position of the user, sequencing the linear distances in ascending order, and taking the charging stations sequenced in the first N to perform adding and dividing;
sorting the available charging pile densities of the charging stations in the selectable charging station list in a descending order, and taking and sorting the charging stations sorted in the first N to carry out adding;
sorting the parking fees of the charging stations in the selectable charging station list in ascending order, and adding the 5 charging stations with no parking fees and lowest parking fees;
sorting charging fees of the charging stations in the selectable charging station list in ascending order, and adding points to 5 charging stations with the lowest charging fees;
and acquiring a path plan from the current position of the user to the charging station and a license plate number of the user, and subtracting the charging station of which the path plan passes through a congestion area or a restricted area.
2. The charging station recommendation method of claim 1, wherein the preset geographical range is a geographical area with a radius of 30 km around the current location of the user.
3. The charging station recommendation method according to claim 1 or 2, wherein the screening of the use states of the charging stations within the preset geographical range is performed to obtain a selectable charging station list, and the method comprises the following steps:
and filtering the charging stations meeting the filtering conditions according to the use states of the charging stations in the preset geographic range to obtain the selectable charging station list, wherein the filtering conditions comprise suspended service, unavailable charging piles and unavailable parking spaces.
4. The charging station recommendation method according to claim 1, further comprising the steps of, after recommending the charging station having the highest score to the user:
receiving the charging station selected by the user;
locking an idle charging pile in one of the charging stations for the user;
and when the user starts charging or is locked for more than a preset time, unlocking.
5. A charging station recommendation device, characterized by comprising:
the acquisition module is used for acquiring the current position information of the user;
the filtering module is used for screening out charging stations in a preset geographic range according to the current position information of the user, and screening the use state of the charging stations in the preset geographic range to obtain a selectable charging station list;
the scoring module is used for performing multidimensional scoring on the charging stations in the selectable charging station list according to preset conditions, and adding the scores of each dimension to obtain a scoring result, wherein the preset conditions comprise the linear distance from the current position of the user to the charging station, the density of available charging piles, the parking fee of the charging station, charging information and a path; the multi-dimensional scoring comprises the steps of: sequentially calculating the linear distances between the charging stations in the selectable charging station list and the current position of the user, sequencing the linear distances in ascending order, and taking the charging stations sequenced in the first N to perform adding and dividing; sorting the available charging pile densities of the charging stations in the selectable charging station list in a descending order, and taking and sorting the charging stations sorted in the first N to carry out adding; sorting the parking fees of the charging stations in the selectable charging station list in ascending order, and adding the 5 charging stations with no parking fees and lowest parking fees; sorting charging fees of the charging stations in the selectable charging station list in ascending order, and adding points to 5 charging stations with the lowest charging fees; acquiring a path plan from the current position of the user to a charging station and a license plate number of the user, and subtracting the charging station of the path plan passing through a congestion area or a restricted area;
the pushing module is used for judging whether the charging station with the highest score in the same time period is a recommended charging station of other users or not; when the charging station with the highest score is not the recommended charging station of other users, or when the charging station with the highest score is the recommended charging station of other users and the number of idle charging piles is larger than the number of recommended users, the charging station with the highest score is directly recommended to the users;
when the charging station with the highest score is a recommended charging station of other users and the number of idle charging piles is smaller than the number of recommended users, the scores of all the recommended users of the charging station with the highest score are arranged in a descending order, and idle charging piles are matched for all the recommended users in sequence from high to low according to the scores until all the idle charging piles are successfully matched; and recommending a charging station with a second grading to the user when the user is not matched with the idle charging stake of the charging station with the highest grading.
6. An electronic device comprising a processor, a storage medium and a computer program stored in the storage medium, characterized in that the computer program, when executed by the processor, implements the charging station recommendation method of any one of claims 1 to 4.
7. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the charging station recommendation method of any one of claims 1 to 4.
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| CN114516278B (en) * | 2020-11-18 | 2023-09-05 | 比亚迪股份有限公司 | Charging pile recommendation method, device and system and storage medium |
| CN112749343B (en) * | 2021-01-22 | 2023-04-07 | 武汉蔚来能源有限公司 | Resource recommendation method and device and computer storage medium |
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