阅读说明：本技术 用于推荐充电站的方法和装置 (Method and device for recommending charging stations ) 是由 段宁 孙伟 高航 张欣 刘卫东 于 2018-09-07 设计创作，主要内容包括：本发明涉及用于推荐充电站的方法和装置,该方法包括：当接收到给电动车辆搜索充电站的请求时,基于所述电动车辆的用户的个人偏好信息,确定所述电动车辆可到达的且适用于所述电动车辆充电的特定区域；将位于所述特定区域中的合适的充电站推荐给所述电动车辆用于充电。利用该方法和装置,能够向电动车辆推荐恰当的充电站用于充电。(The invention relates to a method and a device for recommending charging stations, wherein the method comprises the following steps: upon receiving a request to an electric vehicle to search for charging stations, determining a particular area reachable by the electric vehicle and applicable for charging of the electric vehicle based on personal preference information of a user of the electric vehicle; recommending an appropriate charging station located in the particular area to the electric vehicle for charging. With the method and the device, an appropriate charging station can be recommended to the electric vehicle for charging.)

1. A method for recommending charging stations, comprising:

upon receiving a request to an electric vehicle to search for charging stations, determining a particular area reachable by the electric vehicle and applicable for charging of the electric vehicle based on personal preference information of a user of the electric vehicle; and

recommending an appropriate charging station located in the particular area to the electric vehicle for charging.

2. The method of claim 1, wherein the recommending a suitable charging station located in the particular area to the electric vehicle for charging comprises:

determining an intent to charge the electric vehicle;

searching for charging stations located in the specific area to obtain a plurality of candidate charging stations;

acquiring the charging turn and the current state of each charging pile of the plurality of candidate charging stations, wherein the charging turn of each charging pile represents the ratio of the charging time to the occupied time of the charging pile, and the current state of each charging pile represents whether the charging pile is idle or not; and

recommending an appropriate charging station of the plurality of candidate charging stations to the electric vehicle for charging based on the determined charging intent and the obtained charging round and current state.

3. The method of claim 2, wherein the recommending an appropriate charging station of the plurality of candidate charging stations to the electric vehicle for charging comprises:

if the determined charging intent is to go on charging, checking whether at least one charging station exists in the plurality of candidate charging stations based on the acquired current state, wherein the at least one charging station each comprises a plurality of currently idle charging posts; and

and if the checking result is positive, selecting the charging station closest to the electric vehicle from the at least one charging station to recommend to the electric vehicle.

4. The method of claim 3, wherein the recommending an appropriate charging station of the plurality of candidate charging stations to the electric vehicle for charging further comprises:

if the result of the check is negative, calculating respective charging rounds of the plurality of candidate charging stations based on the obtained charging rounds, wherein the charging round of each candidate charging station represents an average value of the charging rounds of the charging piles in the candidate charging station; and

and selecting the charging station with the largest charging round number from the plurality of candidate charging stations to recommend to the electric vehicle.

5. The method of claim 2, wherein the recommending an appropriate charging station of the plurality of candidate charging stations to the electric vehicle for charging comprises:

if the determined charging intention is that the charging is completed and the parking is performed in place, calculating respective charging rounds of the plurality of candidate charging stations based on the obtained charging rounds, wherein the charging round of each candidate charging station represents an average value of the charging rounds of the charging piles in the candidate charging station;

finding a charging station from the plurality of candidate charging stations whose charging round is less than a charging round threshold;

detecting whether one or more charging stations exist in the found charging stations or not based on the obtained current state, wherein the one or more charging stations respectively comprise a plurality of charging piles which are idle currently; and

and if the detection result is positive, selecting the charging station closest to the charging vehicle from the one or more charging stations to recommend to the electric vehicle.

6. The method of claim 5, wherein the recommending an appropriate charging station of the plurality of candidate charging stations to the electric vehicle for charging further comprises:

and if the detection result is negative, selecting the charging station with the largest charging round number from the found charging stations to recommend to the electric vehicle.

7. The method of claim 2, wherein the determining the charging intent of the electric vehicle comprises:

determining a charging intention of the electric vehicle based on a remaining capacity of a battery of the electric vehicle, a historical driving track of the electric vehicle, and/or a navigation route of the electric vehicle.

8. An apparatus for recommending charging stations, comprising:

a first determination module for determining a specific area reachable by an electric vehicle and applicable to charging of the electric vehicle based on personal preference information of a user of the electric vehicle when a request to search for a charging station for the electric vehicle is received; and

a first recommending module for recommending a proper charging station located in the specific area to the electric vehicle for charging.

9. The apparatus of claim 8, wherein the first recommendation module comprises:

a second determination module to determine an intent to charge the electric vehicle;

a search module for searching for charging stations located in a designated area reachable by the electric vehicle to obtain a plurality of candidate charging stations;

the charging system comprises an acquisition module, a charging module and a charging module, wherein the acquisition module is used for acquiring the charging turn and the current state of each charging pile of the plurality of candidate charging stations, the charging turn of each charging pile represents the ratio of the charging time to the occupied time of the charging pile, and the current state of each charging pile represents whether the charging pile is idle or not; and

a second recommendation module to recommend an appropriate charging station of the plurality of candidate charging stations to the electric vehicle for charging based on the determined charging intent and the obtained charging round and current state.

10. The apparatus of claim 9, wherein the second recommendation module comprises:

a first checking module, configured to check whether at least one charging station exists in the plurality of candidate charging stations based on the obtained current state if the determined charging intention is to go after charging, where the at least one charging station includes a plurality of charging piles currently in an idle state; and

and the first selecting module is used for selecting the charging station closest to the electric vehicle from the at least one charging station to recommend to the electric vehicle if the checking result is positive.

11. The apparatus of claim 10, wherein the second recommending module further comprises:

a first calculation module, configured to calculate, if a result of the checking is negative, respective charging rounds of the plurality of candidate charging stations based on the acquired charging rounds, where a charging round of each candidate charging station represents an average of charging rounds of respective charging piles in the candidate charging station; and

the second selecting module is used for selecting the charging station with the largest charging round number from the plurality of candidate charging stations to recommend to the electric vehicle.

12. The apparatus of claim 9, wherein the second recommendation module comprises:

a second calculation module, configured to calculate respective charging rounds of the plurality of candidate charging stations based on the obtained charging rounds if the determined charging intention is to complete charging in-place parking, where the charging round of each candidate charging station represents an average of the charging rounds of the respective charging piles in the candidate charging station;

the searching module is used for finding out the charging stations with the charging rounds smaller than the charging round threshold value from the candidate charging stations;

the detection module is used for detecting whether one or more charging stations exist in the found charging stations or not based on the obtained current state, wherein the one or more charging stations respectively comprise a plurality of charging piles which are in idle states at present; and

and the third selecting module is used for selecting the charging station closest to the charging vehicle from the one or more charging stations to recommend to the electric vehicle if the detection result is positive.

13. The apparatus of claim 12, wherein the second recommendation module further comprises:

and the fourth selecting module is used for selecting the charging station with the maximum charging round number from the found charging stations to recommend the charging stations to the electric vehicle if the detection result is negative.

14. The apparatus of claim 9, wherein,

the second determination module is further to: determining a charging intention of the electric vehicle based on a remaining capacity of a battery of the electric vehicle, a historical driving track of the electric vehicle, and/or a navigation route of the electric vehicle.

15. An apparatus for recommending charging stations, comprising:

a processor; and

a memory having stored thereon executable instructions that, when executed, cause the processor to perform the method of any one of claims 1-7.

16. A machine-readable storage medium having stored thereon executable instructions that, when executed, cause a machine to perform the method of any one of claims 1-7.

Technical Field

The present invention relates to the field of electric vehicles, and more particularly, to a method and apparatus for recommending charging stations.

Technical Field

The electric vehicle uses electric energy provided by a battery as power for cruising, and therefore, searching for and recommending a charging station is a very basic and important function for the electric vehicle.

Currently, charging stations are generally treated as points of interest (POIs), searched by navigation systems and recommended to electric vehicles.

However, existing charging station searches often occur that an inappropriate charging station is recommended to the electric vehicle for charging. For example, a user wants to park near a park for charging, but he/she is recommended to park near a mall or shopping center for charging.

Disclosure of Invention

In view of the above problems of the prior art, embodiments of the present invention provide a method and apparatus for recommending charging stations, and a computing device and machine-readable storage medium, which are capable of recommending an appropriate charging station to an electric vehicle for charging.

According to an embodiment of the invention, the method for recommending the charging station comprises the following steps: upon receiving a request to an electric vehicle to search for charging stations, determining a particular area reachable by the electric vehicle and applicable for charging of the electric vehicle based on personal preference information of a user of the electric vehicle; recommending an appropriate charging station located in the particular area to the electric vehicle for charging.

An apparatus for recommending a charging station according to an embodiment of the present invention includes: a first determination module for determining a specific area reachable by an electric vehicle and applicable to charging of the electric vehicle based on personal preference information of a user of the electric vehicle when a request to search for a charging station for the electric vehicle is received; and a first recommending module for recommending a proper charging station located in the specific area to the electric vehicle for charging.

An apparatus for recommending a charging station according to an embodiment of the present invention includes: a processor; and a memory having stored thereon executable instructions that, when executed, cause the processor to perform the aforementioned method.

A machine-readable storage medium according to an embodiment of the invention has stored thereon executable instructions that, when executed, cause a machine to perform the foregoing method.

The scheme of the embodiment of the invention recommends the charging station to the electric vehicle for charging according to the personal preference information of the user of the electric vehicle, so compared with the prior art, the scheme of the embodiment of the invention can recommend the matched charging station to the electric vehicle for charging.

Drawings

The features, characteristics, advantages and benefits of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Wherein:

fig. 1 shows an architectural schematic of a system for recommending charging stations according to an embodiment of the invention;

FIG. 2 illustrates an overall flow diagram of a method for information updating according to one embodiment of the invention;

FIG. 3 illustrates an overall flow diagram of a method for recommending charging stations according to one embodiment of the present invention;

FIG. 4 shows a flow diagram of a method for recommending charging stations according to one embodiment of the present invention;

FIG. 5 shows a schematic view of an apparatus for recommending charging stations according to an embodiment of the present invention; and

fig. 6 shows a schematic view of an apparatus for recommending charging stations according to an embodiment of the present invention.

Detailed Description

Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Fig. 1 shows an architectural schematic of a system for recommending charging stations according to an embodiment of the invention. As shown in fig. 1, a system 10 for recommending charging stations may include a monitoring device 20, a server 30, and a client device 40. The server 30 communicates with the client device 40 by wireless means, and the server 30 may communicate with the monitoring device 20 by wired or wireless means.

The monitoring devices 20 are located in charging stations, and each charging station has one monitoring device 20. The monitoring device 20 collects and stores the charging time, the occupied time, and the current state of each charging pole in the charging station in which it is located, using sensors and the like. The charging time of the charging post refers to the total accumulated time that the charging post is occupied by the vehicle for charging within a certain period of time (such as, but not limited to, a month, a quarter, a half year, a year, etc.). The occupation time of the charging pile refers to the total accumulated time of charging and parking when the charging pile is occupied by the vehicle within a certain time period. When the charging pile is occupied by the vehicle for charging or parking, the current state of the charging pile is occupied, and when the charging pile is not occupied by the vehicle, the current state of the charging pile is idle.

In one aspect, the monitoring device 20 periodically observes the status (idle or occupied) of each charging post of the charging station ST at each of the plurality of observation windows, counts the number of times each charging post of the charging station ST is observed to be idle at each period ZQi, and then calculates a false idle index FFi of any charging post STi in the charging station ST according to the following equation.

Where p (i) indicates the number of times that the charging post STi is observed to be idle in the period ZQi, p (j) indicates the number of times that the charging posts ST, other than the charging post STi, are observed to be idle in the period ZQi, and n indicates the number of charging posts of the charging post ST. The larger the false idle index FFi, the greater the likelihood that the charging post STi is occupied for some unknown reason. If the false idle index of the charging post STi is greater than the specified false threshold, the monitoring device 20 may correct the occupancy time of the charging post STi using the occupancy times of the charging posts other than the charging post STi in the charging station ST, for example, but not limited to, calculating the average of the occupancy times of the charging posts other than the charging post STi in the charging station ST as the occupancy time of the charging post STi.

The server 30 is configured to periodically acquire the charging time, the occupied time, and the current state of each charging pile in each charging station from the monitoring device 20 of each charging station. The server 30 calculates a charging turn of the charging pile CTi, which is equal to a ratio of the charging time to the occupation time of the charging pile CTi, using the acquired charging time and occupation time of any one of the charging piles CTi. The server 30 updates the charging round and the current state of the charging pile CTi stored in the server 30 by using the calculated charging round of the charging pile CTi and the acquired current state of the charging pile CTi.

The client devices 40 are located in electric vehicles, and each electric vehicle has one client device 40. When the electric vehicle EVi is to be charged, the client device 40i located in the electric vehicle EVi determines an area suitable for charging the electric vehicle EVi, which is reachable by the electric vehicle EVi, from the personal preference information of the user of the electric vehicle EVi. Then, the client device 40i determines the charging intention of the electric vehicle EVi, which may be a full, i.e., a go, or a full parking in place. Next, the client device 40i searches for charging stations located in the determined area to obtain a plurality of charging station candidates. The client device 40i acquires the charging round and the current state of each charging pole of the plurality of charging station candidates from the server 30. Based on the charging intention of the electric vehicle EVi and the acquired charging round and current state, the client device 40i recommends an appropriate charging station of the plurality of candidate charging stations to the electric vehicle EVi for charging. For example, but not limiting of, client device 40 may be a navigation device on an electric vehicle, an onboard computer, or any other suitable device.

Fig. 2 shows a general flow diagram of a method for information updating according to an embodiment of the invention. The method 200 of FIG. 2 is described in detail below in conjunction with the system 10 shown in FIG. 1.

As shown in fig. 2, the server 30 periodically obtains the charging time, the occupied time, and the current state of each charging post in each charging station from the monitoring device 20 of each charging station at block 202.

At block 206, the server 30 calculates the ratio of the charging time and the occupied time of any charging pile CTi as the charging round of the charging pile CTi.

At block 210, the server 30 updates the charging round and the current state of the charging pile CTi stored in the server 30 using the calculated charging round of the charging pile CTi and the acquired current state of the charging pile CTi.

Fig. 3 shows a general flowchart of a method for recommending charging stations according to an embodiment of the invention. The method 300 of FIG. 3 is described in detail below in conjunction with the system 10 shown in FIG. 1.

As shown in fig. 3, at block 302, the client device 40j of the electric vehicle W receives a request Q to the electric vehicle W to search for a charging station. For example, but not limited to, the request Q may be input to the client device 40j by a user (driver, passenger, or the like) of the electric vehicle W, or may be transmitted to the client device 40j by an on-board computer of the electric vehicle W in accordance with the remaining amount of power of a battery of the electric vehicle W.

After receiving the request Q, the client device 40j determines the area CA suitable for charging the electric vehicle W reachable by the electric vehicle W according to the personal preference information PPI of the user of the electric vehicle W at block 306. Here, the personal preference information PPI indicates a personal preference of the user of the electric vehicle W to stop charging, and the determined region CA matches the personal preference information PPI. For example, if the personal preference information PPI indicates that the user of the electric vehicle W prefers to park and charge at and near a park, the area CA is an area including the park. For another example, if the personal preference information PPI indicates that the user of the electric vehicle W prefers to park and charge at and near a shopping mall, the area CA is an area including the shopping mall. For example, but not limited to, the personal preference information PPI may be preset by a user of the electric vehicle W or statistically derived from a history of parking charge records of the electric vehicle W.

At block 310, the client device 40j determines the charging intent of the electric vehicle W. The charging intent may be to go after charging or to park in place after charging. The electric vehicle is driven away after being charged at the charging pile, and cannot park in place at the charging pile, so that other electric vehicles can be charged by using the charging pile. In the electric parking in place after the charging is completed, the electric vehicle does not leave the charging pile, but continues to park in place, so that other electric vehicles cannot be charged by the charging pile next.

In one aspect, the client device 40j may determine the intention of charging the electric vehicle W using the remaining amount of power of the battery of the electric vehicle W. For example, but not limiting of, if the remaining capacity of the battery of the electric vehicle W is still greater than 80% of the total capacity when the request Q is received, it may be determined that the charging of the electric vehicle W is intended to finish the charging for the parking-in-place, because the remaining capacity of greater than 80% of the total capacity indicates that the capacity of the battery of the electric vehicle W is still sufficient, and it is not actually necessary to charge the battery, in which case the purpose of searching for a charging station is obviously to find a place to park and to charge the vehicle at the same time as parking.

In one aspect, the client device 40j may determine the charging intention of the electric vehicle W using the navigation route of the electric vehicle W in a case where the electric vehicle W is currently traveling based on the navigation route. Specifically, if the location of the electric vehicle W is not near the destination of the navigation route when the request Q is received, it may be determined that the charging intention of the electric vehicle W is to complete charging, i.e., to go, and if the location of the electric vehicle W is at the destination of the navigation route or near the navigation route when the request Q is received, it may be determined that the charging intention of the electric vehicle W is to complete charging and park in place.

In one aspect, the client device 40j may determine the charging intention of the electric vehicle W using the history travel track of the electric vehicle W in a case where the electric vehicle W is currently traveling without traveling using the navigation route. For example, if the position of the electric vehicle W when the request Q is received is within an area where the electric vehicle W frequently arrives and parks in the history travel trajectory of the electric vehicle W, it may be determined that the charging intention of the electric vehicle W is to completely charge the in-place parking.

In one aspect, the client device 40j may determine the charging intention of the electric vehicle W using the history travel track and the battery remaining amount of the electric vehicle W in a case where the electric vehicle W is currently traveling without traveling using the navigation route. For example, but not limited to, if the location of the electric vehicle W is not within an area where the electric vehicle W frequently arrives and parks in the historical travel trajectory of the electric vehicle W when the request Q is received, and the remaining capacity of the battery of the electric vehicle W has been less than 30% of the total capacity, it may be determined that the charging intention of the electric vehicle W is to be fully charged, i.e., to go.

In one aspect, after receiving the request Q, the client device 40j may let the user of the electric vehicle W input or select the charging intention of the electric vehicle W to determine the charging intention of the electric vehicle W.

At block 314, the client device 40j searches for charging stations located in the area CA for a plurality of charging station candidates.

At block 318, client device 40j obtains from server 30 the charging round and current status of each charging pole included in each of the plurality of candidate charging stations.

At block 322, the client device 40j determines whether the charging intent of the electric vehicle W is to go after charging.

At block 326, if the determination at block 322 is positive, that is, the intention of charging the electric vehicle W is to go after charging, the client device 40j checks whether there is at least one charging station AL in the plurality of charging station candidates according to the current states of the respective charging posts included in the plurality of charging station candidates, wherein each of the at least one charging station AL includes a plurality of charging posts that are currently in an idle state.

At block 330, if the check at block 326 is positive, then the client device 40j selects its closest charging station to the electric vehicle W from the at least one charging station AL as the recommended charging station for the electric vehicle W, and flow proceeds to block 362.

At block 334, if the check at block 326 is negative, the client device 40j calculates respective charging rounds of the plurality of candidate charging stations according to respective charging rounds of charging poles included in the respective plurality of candidate charging stations, wherein the charging round of each candidate charging station is equal to an average value of the charging rounds of the respective charging poles of the candidate charging stations.

At block 338, the client device 40j selects the charging station with the largest charging round from the plurality of candidate charging stations as the charging station recommended to the charging vehicle W, and the flow proceeds to block 362.

At block 342, if the determination at block 322 is negative, that is, the intention of charging the electric vehicle W is to complete charging and park in place, the client device 40j calculates respective charging rounds of the plurality of candidate charging stations according to respective charging rounds of charging piles included in the plurality of candidate charging stations, wherein the charging round of each candidate charging station is equal to the average value of the charging rounds of the respective charging piles in the candidate charging station.

At block 346, client device 40j finds a charging station FD from the plurality of candidate charging stations whose charging round is less than charging round threshold CLT. Here, the charging round threshold CLT is appropriately set so that charging stations whose charging round is less than the charging round threshold CLT all belong to charging stations that can be charged and parked, and charging stations whose charging round is not less than the charging round threshold CLT all belong to charging stations that can be charged and parked only.

At block 350, client device 40j detects whether one or more charging stations exist in the found charging station FD according to the current state of each charging pile of the found charging station FD, where each charging station of the one or more charging stations includes a plurality of charging piles currently in an idle state.

At block 354, if the result of the detection at block 350 is positive, then the client device 40j selects the charging station from the one or more charging stations that is closest to the charging vehicle W as the charging station recommended to the charging vehicle W, and the flow proceeds to block 362.

At block 358, if the detection result of block 350 is negative, the client device 40j selects the charging station whose charging round is the largest from the found charging stations FD as the charging station recommended to the charging vehicle W, and the flow proceeds to block 362.

At block 362, the client device 40j presents the recommended charging station to the user of the charging vehicle W.

The solution of the present embodiment recommends the charging station to the electric vehicle for charging according to the personal preference information of the user of the electric vehicle, the charging intention of the electric vehicle, and the charging round characterizing the use of the charging station, and therefore, the solution of the present embodiment can recommend an appropriate charging station to the electric vehicle for charging.

Other variants

It should be understood by those skilled in the art that although the charging round of the charging pile is calculated by the server 30 in the above embodiment, the present invention is not limited thereto. In some other embodiments of the present invention, the charging round of the charging pile may also be calculated and stored by the monitoring device 20 periodically using the charging time and the occupation time of the charging pile. In this case, the server 30 periodically acquires the charging round and the current state of each charging pile in each charging station from the monitoring device 20 of each charging station, and updates the charging round and the current state of each charging pile stored in the server 30 using the acquired charging round and current state of each charging pile.

It should be understood by those skilled in the art that although in the above embodiment, the operations of block 302-362 are implemented by the client device 40j, the invention is not limited thereto. In other embodiments of the present invention, the operations of blocks 302-362 may also be implemented by the server 30. In this case, the client device 40j receives the request Q and sends it to the server 30, and after the server 30 has selected a charging station to be recommended to the electric vehicle W for charging, the server 30 sends the selected charging station to the client device 40j, and then the client device 40j presents the received charging station to the user of the electric vehicle W.

It should be understood by those skilled in the art that although in the above embodiments, the charging station is recommended to the electric vehicle for charging according to the personal preference information of the user of the electric vehicle, the charging intention of the electric vehicle, and the charging round characterizing the use of the charging station, the present invention is not limited thereto. In other embodiments of the present invention, the charging station may be recommended to the electric vehicle for charging based only on the personal preference information of the user of the electric vehicle, in which case the method 300 does not include block 310 and 358, and an appropriate charging station in the area CA is recommended to the electric vehicle for charging in block 362.

Fig. 4 shows a flowchart of a method for recommending charging stations according to an embodiment of the invention. The method 400 shown in fig. 4 may be implemented by the client device 40, the server 30, or any other suitable device.

As shown in fig. 4, method 400 may include, at block 402, upon receiving a request to an electric vehicle to search for charging stations, determining a particular area reachable by the electric vehicle and applicable for charging of the electric vehicle based on personal preference information of a user of the electric vehicle.

The method 400 may also include, at block 404, recommending an appropriate charging station located in the particular area to the electric vehicle for charging.

In a first aspect, block 404 includes: determining an intent to charge the electric vehicle; searching for charging stations located in the specific area to obtain a plurality of candidate charging stations; acquiring the charging turn and the current state of each charging pile of the plurality of candidate charging stations, wherein the charging turn of each charging pile represents the ratio of the charging time to the occupied time of the charging pile, and the current state of each charging pile represents whether the charging pile is idle or not; and recommending an appropriate charging station of the plurality of candidate charging stations to the electric vehicle for charging based on the determined charging intent and the acquired charging round and current state.

In a second aspect, recommending a suitable charging station of the plurality of candidate charging stations to the electric vehicle for charging comprises: if the determined charging intent is to go on charging, checking whether at least one charging station exists in the plurality of candidate charging stations based on the acquired current state, wherein the at least one charging station each comprises a plurality of currently idle charging posts; and if the checking result is positive, selecting the charging station closest to the electric vehicle from the at least one charging station to recommend to the electric vehicle.

In a third aspect, recommending a suitable charging station of the plurality of candidate charging stations to the electric vehicle for charging further comprises: if the result of the check is negative, calculating respective charging rounds of the plurality of candidate charging stations based on the obtained charging rounds, wherein the charging round of each candidate charging station represents an average value of the charging rounds of the charging piles in the candidate charging station; and selecting the charging station with the largest charging round number from the plurality of candidate charging stations to recommend to the electric vehicle.

In a fourth aspect, recommending a suitable charging station of the plurality of candidate charging stations to the electric vehicle for charging comprises: if the determined charging intention is that the charging is completed and the parking is performed in place, calculating respective charging rounds of the plurality of candidate charging stations based on the obtained charging rounds, wherein the charging round of each candidate charging station represents an average value of the charging rounds of the charging piles in the candidate charging station; finding a charging station from the plurality of candidate charging stations whose charging round is less than a charging round threshold; detecting whether one or more charging stations exist in the found charging stations or not based on the obtained current state, wherein the one or more charging stations respectively comprise a plurality of charging piles which are idle currently; and if the detection result is positive, selecting the charging station closest to the charging vehicle from the one or more charging stations to recommend to the electric vehicle.

In a fifth aspect, recommending a suitable charging station of the plurality of candidate charging stations to the electric vehicle for charging further comprises: and if the detection result is negative, selecting the charging station with the largest charging round number from the found charging stations to recommend to the electric vehicle.

In a sixth aspect, determining the charging intent of the electric vehicle comprises: determining a charging intention of the electric vehicle based on a remaining capacity of a battery of the electric vehicle, a historical driving track of the electric vehicle, and/or a navigation route of the electric vehicle.

Fig. 5 shows a schematic view of an apparatus for recommending charging stations according to an embodiment of the present invention. The apparatus 500 shown in fig. 5 can be implemented by software, hardware or a combination of software and hardware. The apparatus 500 may be installed in the client device 40, the server 30, or any other suitable device.

As shown in fig. 5, the apparatus 500 may include a first determination module 502 and a first recommendation module 504. The first determination module 502 is used to determine a specific area reachable by an electric vehicle and applicable to charging of the electric vehicle based on personal preference information of a user of the electric vehicle when a request to search for a charging station for the electric vehicle is received. The first recommending module 504 is used for recommending a proper charging station located in the specific area to the electric vehicle for charging.

In a first aspect, the first recommendation module 504 includes: a second determination module to determine an intent to charge the electric vehicle; a searching module, configured to search for charging stations located in the specific area to obtain a plurality of candidate charging stations; the charging system comprises an acquisition module, a charging module and a charging module, wherein the acquisition module is used for acquiring the charging turn and the current state of each charging pile of the plurality of candidate charging stations, the charging turn of each charging pile represents the ratio of the charging time to the occupied time of the charging pile, and the current state of each charging pile represents whether the charging pile is idle or not; and a second recommendation module for recommending an appropriate charging station of the plurality of candidate charging stations to the electric vehicle for charging based on the determined charging intent and the acquired charging round and current state.

In a second aspect, the second recommendation module may include: a first checking module, configured to check whether at least one charging station exists in the plurality of candidate charging stations based on the obtained current state if the determined charging intention is to go after charging, where the at least one charging station includes a plurality of charging piles currently in an idle state; and the first selecting module is used for selecting the charging station closest to the electric vehicle from the at least one charging station to recommend to the electric vehicle if the checking result is positive.

In a third aspect, the second recommendation module may further include: a first calculation module, configured to calculate, if a result of the checking is negative, respective charging rounds of the plurality of candidate charging stations based on the acquired charging rounds, where a charging round of each candidate charging station represents an average of charging rounds of respective charging piles in the candidate charging station; and the second selection module is used for selecting the charging station with the largest charging round number from the plurality of candidate charging stations to recommend the charging station to the electric vehicle.

In a fourth aspect, the second recommendation module may include: a second calculation module, configured to calculate respective charging rounds of the plurality of candidate charging stations based on the obtained charging rounds if the determined charging intention is to complete charging in-place parking, where the charging round of each candidate charging station represents an average of the charging rounds of the respective charging piles in the candidate charging station; the searching module is used for finding out the charging stations with the charging rounds smaller than the charging round threshold value from the candidate charging stations; the detection module is used for detecting whether one or more charging stations exist in the found charging stations or not based on the obtained current state, wherein the one or more charging stations respectively comprise a plurality of charging piles which are in idle states at present; and the third selecting module is used for selecting the charging station closest to the charging vehicle from the one or more charging stations to recommend to the electric vehicle if the detection result is positive.

In a fifth aspect, the second recommending module may further include: and the fourth selecting module is used for selecting the charging station with the maximum charging round number from the found charging stations to recommend the charging stations to the electric vehicle if the detection result is negative.

In a sixth aspect, the second determination module is further to: determining a charging intention of the electric vehicle based on a remaining capacity of a battery of the electric vehicle, a historical driving track of the electric vehicle, and/or a navigation route of the electric vehicle.

Fig. 6 shows a schematic view of an apparatus for recommending charging stations according to an embodiment of the present invention. The device 600 shown in fig. 6 may be, for example, a client device 40, a server 30, or any other suitable device.

As shown in fig. 6, device 600 may include a processor 602 and a memory 604. Wherein the memory 604 stores executable instructions that, when executed, cause the processor 602 to perform the method 300 or the method 400.

Embodiments of the present invention also provide a machine-readable storage medium having stored thereon executable instructions that, when executed, cause a machine to perform method 300 or method 400.

The detailed description set forth above in connection with the appended drawings describes exemplary embodiments but does not represent all embodiments that may be practiced or fall within the scope of the claims. The term "exemplary" used throughout this specification means "serving as an example, instance, or illustration," and does not mean "preferred" or "advantageous" over other embodiments. The detailed description includes specific details for the purpose of providing an understanding of the described technology. However, the techniques may be practiced without these specific details. In some instances, well-known structures and devices are shown in block diagram form in order to avoid obscuring the concepts of the described embodiments.

The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.