阅读说明：本技术 一种电动汽车充电方案的推荐技术 (Recommendation technology for electric vehicle charging scheme ) 是由 黄亮 于 2021-08-31 设计创作，主要内容包括：本发明公开了一种电动汽车充电方案的推荐技术,包括电动汽车充电方案的推荐方法、推荐系统、推荐设备和存储介质。其中推荐方法包括：获取电动汽车电池剩余电量；如果所述剩余电量小于预设告警阈值或用户选择充电请求,根据剩余电量确定续航里程,并根据本车当前位置和续航里程确定候选充电站,构成候选充电站集合；获取候选充电站集合中每个充电站周边的信息点数据；计算本车行驶到每个充电站时的剩余电量、电池充电至预设电量所需的时间；根据预设参数对候选充电站集合中的充电站排序,并向用户展示排名前N个充电站位置信息。该方法能够使用户合理利用充电时间,提升了使用电动汽车的体验感。(The invention discloses a recommendation technology of an electric vehicle charging scheme, which comprises a recommendation method, a recommendation system, recommendation equipment and a storage medium of the electric vehicle charging scheme. The recommendation method comprises the following steps: acquiring the residual electric quantity of the battery of the electric automobile; if the residual electric quantity is smaller than a preset alarm threshold value or a charging request is selected by a user, determining a cruising mileage according to the residual electric quantity, and determining candidate charging stations according to the current position of the vehicle and the cruising mileage to form a candidate charging station set; acquiring information point data around each charging station in the candidate charging station set; calculating the residual electric quantity when the vehicle runs to each charging station and the time required by charging the battery to the preset electric quantity; and sequencing the charging stations in the candidate charging station set according to preset parameters, and displaying the position information of N charging stations before the ranking to a user. The method can enable the user to reasonably utilize the charging time, and improves the experience of using the electric automobile.)

1. A recommendation method for an electric vehicle charging scheme is characterized by comprising the following steps:

s1, acquiring the residual electric quantity of the battery of the electric automobile;

s2, if the residual electric quantity is smaller than a preset alarm threshold value or a charging request is selected by a user, determining a driving mileage according to the residual electric quantity, and determining candidate charging stations according to the current position of the vehicle and the driving mileage to form a candidate charging station set;

s3, obtaining information point data of the periphery of each charging station in the candidate charging station set, wherein the information point data comprises information point types and positions;

calculating the residual electric quantity when the vehicle runs to each charging station and the time required by charging the battery to the preset electric quantity;

s4, sorting the charging stations in the candidate charging station set according to preset parameters, and displaying the position information of N charging stations before the ranking to a user; n is a preset positive integer;

the preset parameters include: the distance between the charging station and the vehicle, the number of available charging piles in the charging station, the time required for the vehicle to travel to the charging station, the time required for the battery to be charged to the preset electric quantity after the vehicle travels to the charging station, the matching degree of the types of the information points around the charging station and the interests of the user, and the popularity of the information points around the charging station.

2. The method for recommending an electric vehicle charging schedule according to claim 1, wherein the information point data of the periphery of each charging station in step S3 is obtained by an electronic map.

3. The method for recommending an electric vehicle charging scheme according to claim 1, wherein said step S3 of calculating the time required for charging the battery to the preset charge amount comprises:

the charging power supported by the vehicle is obtained and matched with the optional power of the charging pile in the charging station; and selecting the matched charging power, and calculating the required time according to the residual electric quantity of the vehicle, the selected charging power and the preset electric quantity.

4. The method for recommending an electric vehicle charging schedule according to claim 1, wherein the degree of matching between the types of the charging station peripheral information points and the user' S interests in step S4 is calculated as:

acquiring the types of historical interest of users, and selecting the first M types with the highest user preference degree; and if the type of the information points around the charging station is matched with at least one of the M types, setting the matching degree of the charging pile to be 1, otherwise, setting the matching degree to be 0.

5. The method for recommending an electric vehicle charging schedule according to claim 1, wherein the degree of matching between the types of the charging station peripheral information points and the user' S interests in step S4 is calculated as:

acquiring the types of historical interest of users, and selecting the first M types with the highest user preference degree; setting weights for the M types, wherein the higher the user preference degree is, the larger the weight value is;

the matching degree of the types of the information points around the charging station and the interests of the user is as follows: the charging station peripheral information point type is matched with the weight sum of the M types.

6. The method for recommending an electric vehicle charging scheme according to claim 1, wherein said step S3 further comprises:

obtaining user scheduling information, the scheduling information including a future time at which a user has scheduled an activity;

and if the vehicle runs to the charging station and the time for charging the battery to the preset electric quantity is later than the time in the user scheduling information, deleting the charging pile from the candidate charging station set.

7. A recommendation system for an electric vehicle charging scheme is characterized by comprising:

the electric quantity acquisition module is used for acquiring the residual electric quantity of the battery of the electric automobile;

the candidate charging station set determining module is used for determining the endurance mileage according to the residual electric quantity, determining candidate charging stations according to the current position of the vehicle and the endurance mileage, and forming a candidate charging station set;

the charging station periphery information point data acquisition module is used for acquiring information point data on the periphery of each charging station in the candidate charging station set, and the information point data comprises information point types and positions; calculating the residual electric quantity when the vehicle runs to each charging station and the time required by charging the battery to the preset electric quantity;

the recommendation result display module is used for sorting the charging stations in the candidate charging station set according to preset parameters and displaying the position information of N charging stations before the ranking to a user; n is a preset positive integer;

the preset parameters include: the distance between the charging station and the vehicle, the number of available charging piles in the charging station, the time required for the vehicle to travel to the charging station, the time required for the battery to be charged to the preset electric quantity after the vehicle travels to the charging station, the matching degree of the types of the information points around the charging station and the interests of the user, and the popularity of the information points around the charging station.

8. An electric vehicle charging scheme recommendation device, comprising: a controller and a display device connected with the processor;

the processor is configured to: acquiring the residual electric quantity of the battery of the electric automobile; determining the endurance mileage according to the residual electric quantity, and determining candidate charging stations according to the current position of the vehicle and the endurance mileage to form a candidate charging station set; acquiring information point data of the periphery of each charging station in the candidate charging station set, wherein the information point data comprises information point types and positions; calculating the residual electric quantity when the vehicle runs to each charging station and the time required by charging the battery to the preset electric quantity; sorting the charging stations in the candidate charging station set according to preset parameters;

the preset parameters include: the distance between the charging station and the vehicle, the number of available charging piles in the charging station, the time required for the vehicle to travel to the charging station, the time required for the battery to be charged to the preset electric quantity after the vehicle travels to the charging station, the matching degree of the types of the information points around the charging station and the user interests, and the popularity of the information points around the charging station;

the display device is used for: displaying the position information of N charging stations before ranking to a user; n is a preset positive integer.

9. An electric vehicle characterized by comprising the recommendation device for an electric vehicle charging scheme according to claim 8.

10. A computer readable storage medium having stored thereon computer instructions, wherein the computer instructions are operable to perform the steps of the method for recommending an electric vehicle charging scheme according to any of claims 1 to 6.

Technical Field

The invention belongs to the technical field of electric vehicle charging, and particularly relates to a recommendation method, a recommendation system, recommendation equipment, an electric vehicle and storage equipment for an electric vehicle charging scheme.

Background

If the electric automobile is in the condition of insufficient battery power during the driving process, the user is easy to go out inconveniently, so that the battery power needs to be monitored, and the battery needs to be charged in time when the battery power is low.

At present, the recommendation of the charging scheme usually adopts the principle of shortest proximity or waiting time, that is, selects the charging station with a shorter distance around the current position of the vehicle or the charging station with the shortest waiting time, and adopts the recommendation method in chinese patent document with application number 201711158324.8. Because the charging of the battery needs to take a long time, how to reasonably utilize the charging time has no solution in the prior art.

Disclosure of Invention

The purpose of the invention is as follows: the invention aims to provide a recommendation technology of an electric vehicle charging scheme, which can enable a user to reasonably utilize charging time and improve experience of using an electric vehicle.

The technical scheme is as follows: the invention adopts the following technical scheme:

the invention provides a recommendation method of an electric vehicle charging scheme, which comprises the following steps:

s1, acquiring the residual electric quantity of the battery of the electric automobile;

s2, if the residual electric quantity is smaller than a preset alarm threshold value or a charging request is selected by a user, determining a driving mileage according to the residual electric quantity, and determining candidate charging stations according to the current position of the vehicle and the driving mileage to form a candidate charging station set;

s3, obtaining information point data of the periphery of each charging station in the candidate charging station set, wherein the information point data comprises information point types and positions;

calculating the residual electric quantity when the vehicle runs to each charging station and the time required by charging the battery to the preset electric quantity;

s4, sorting the charging stations in the candidate charging station set according to preset parameters, and displaying the position information of N charging stations before the ranking to a user; n is a preset positive integer;

the preset parameters include: the distance between the charging station and the vehicle, the number of available charging piles in the charging station, the time required for the vehicle to travel to the charging station, the time required for the battery to be charged to the preset electric quantity after the vehicle travels to the charging station, the matching degree of the types of the information points around the charging station and the interests of the user, and the popularity of the information points around the charging station.

On the other hand, the invention also provides a recommendation system for the electric vehicle charging scheme, which comprises the following steps:

the electric quantity acquisition module is used for acquiring the residual electric quantity of the battery of the electric automobile;

the candidate charging station set determining module is used for determining the endurance mileage according to the residual electric quantity, determining candidate charging stations according to the current position of the vehicle and the endurance mileage, and forming a candidate charging station set;

the charging station periphery information point data acquisition module is used for acquiring information point data on the periphery of each charging station in the candidate charging station set, and the information point data comprises information point types and positions; calculating the residual electric quantity when the vehicle runs to each charging station and the time required by charging the battery to the preset electric quantity;

the recommendation result display module is used for sorting the charging stations in the candidate charging station set according to preset parameters and displaying the position information of N charging stations before the ranking to a user; n is a preset positive integer;

the preset parameters include: the distance between the charging station and the vehicle, the number of available charging piles in the charging station, the time required for the vehicle to travel to the charging station, the time required for the battery to be charged to the preset electric quantity after the vehicle travels to the charging station, the matching degree of the types of the information points around the charging station and the interests of the user, and the popularity of the information points around the charging station.

In another aspect, the present invention further provides a recommendation device for an electric vehicle charging scheme, including: a controller and a display device connected with the processor;

the processor is configured to: acquiring the residual electric quantity of the battery of the electric automobile; determining the endurance mileage according to the residual electric quantity, and determining candidate charging stations according to the current position of the vehicle and the endurance mileage to form a candidate charging station set; acquiring information point data of the periphery of each charging station in the candidate charging station set, wherein the information point data comprises information point types and positions; calculating the residual electric quantity when the vehicle runs to each charging station and the time required by charging the battery to the preset electric quantity; sorting the charging stations in the candidate charging station set according to preset parameters;

the preset parameters include: the distance between the charging station and the vehicle, the number of available charging piles in the charging station, the time required for the vehicle to travel to the charging station, the time required for the battery to be charged to the preset electric quantity after the vehicle travels to the charging station, the matching degree of the types of the information points around the charging station and the user interests, and the popularity of the information points around the charging station;

the display device is used for: displaying the position information of N charging stations before ranking to a user; n is a preset positive integer.

In another aspect, the invention further provides an electric vehicle, which includes the recommendation device for the electric vehicle charging scheme.

In another aspect, the present invention further provides a computer readable storage medium, on which computer instructions are stored, and the computer instructions are executed to perform the steps of the method for recommending an electric vehicle charging scheme according to any one of the above embodiments.

Has the advantages that: the recommendation technology of the electric vehicle charging scheme provided by the invention fully utilizes the internet technology, monitors the energy storage state of the electric vehicle battery in real time, responds to the shortage of the battery power in advance, gives a reasonable battery charging scheme to a user, can greatly reduce the waste of the charging time of the user, and brings optimal travel experience to the user.

Drawings

Fig. 1 is a flowchart of a recommendation method of an electric vehicle charging scheme provided in embodiment 1;

FIG. 2 is a schematic diagram illustrating the components of a recommendation system for an electric vehicle charging scheme provided in embodiment 1;

FIG. 3 is a flowchart of a method for recommending an electric vehicle charging scheme provided in embodiment 2;

FIG. 4 is a schematic diagram illustrating the components of a recommendation system for an electric vehicle charging scheme provided in embodiment 2;

fig. 5 is a schematic composition diagram of a recommendation device for an electric vehicle charging scheme provided in embodiment 3.

Detailed Description

The invention is further elucidated with reference to the drawings and the detailed description.

Example 1:

the embodiment provides a recommendation method of an electric vehicle charging scheme, as shown in fig. 1, including:

s1, acquiring the residual electric quantity of the battery of the electric automobile;

the battery is used for providing electric energy for a motor of the electric automobile and driving the electric automobile to run. The remaining capacity can be expressed by a numerical value of power, such as 1000mAh, or by a percentage, such as 30% of the rated capacity.

S2, if the residual electric quantity is smaller than a preset alarm threshold value or a charging request is selected by a user, determining a driving mileage according to the residual electric quantity, and determining candidate charging stations according to the current position of the vehicle and the driving mileage to form a candidate charging station set;

the preset alarm threshold value can be set by a user, and when the residual electric quantity is smaller than the preset alarm threshold value, the electric quantity is insufficient and charging is required in time; the charging can also be actively selected by the user, and at the moment, the charging can be carried out even if the residual capacity is greater than the preset alarm threshold value. The remaining amount of power of the vehicle can cause the vehicle to travel to the charging station to become a charging station candidate, and therefore, a charging station candidate set is generally configured with charging stations within a range of mileage.

S3, obtaining information point data of the periphery of each charging station in the candidate charging station set, wherein the information point data comprises information point types and positions;

in this embodiment, the information point data around each charging station is obtained by an electronic map. The electronic map includes Information Point (POI) data, which includes a POI type and a position coordinate. The types here are generally as follows: catering, shopping malls, cinemas, sport places, parks, medical institutions, etc.

Calculating the residual electric quantity when the vehicle runs to each charging station and the time required by charging the battery to the preset electric quantity;

the vehicle still needs to consume certain electric quantity when driving from the current position to the charging station, the initial electric quantity of charging is the residual electric quantity when the vehicle drives to each charging station, and the time required by charging is calculated according to the initial electric quantity.

The charging mode of the battery can be various, such as fast charging, slow charging and the like; firstly, acquiring charging power supported by a vehicle, and matching the charging power with optional power of a charging pile in a charging station; and selecting the matched charging power, and calculating the required time according to the residual electric quantity of the vehicle, the selected charging power and the preset electric quantity. The preset electric quantity can be set to be full of the rated electric quantity, and can also be set to be not full of the preset electric quantity, such as being charged to 80% of the rated electric quantity; may be set by the user.

S4, sorting the charging stations in the candidate charging station set according to preset parameters, and displaying the position information of N charging stations before the ranking to a user; n is a preset positive integer;

the preset parameters may be as follows:

(1) the distance between the charging station and the vehicle is closer, and the sequencing is closer to the front;

the closest charging station is preferably selected at this time, and the distance is usually a driving path instead of a straight distance, so that the power consumption for the vehicle to reach the charging station is less;

(2) the number of available charging piles in the charging station is increased, and the charging piles are arranged in the front when the number of the charging piles is increased;

if the charging station is more to the vehicle that charges, then fill electric pile quantity more, just the shorter this vehicle latency is, user experience is better.

(3) The vehicle travels to the charging station for the required time, and the shorter the required time is, the closer the sequence is;

in consideration of the traffic conditions around the charging stations, the charging stations with traffic congestion around the charging stations can be ranked according to the time required for the vehicle to travel to the charging stations.

(4) The time required for charging the battery to the preset electric quantity after the vehicle runs to the charging station;

considering that the electric quantity consumed by the vehicle running from the current position to different charging stations is different, namely the initial charging electric quantity is different, the time required for charging to the preset electric quantity is different. At which time the user selects to sort by the desired time from large to small or small to large. If the user wants to charge the points as soon as possible, the points are sorted from small to large, and if the user plans to perform an activity which takes a long time during charging, the points are sorted from large to small.

(5) The matching degree of the types of the information points around the charging station and the interest of the user is higher, and the ranking is closer to the front;

the preset parameters take the interests and hobbies of the user into consideration, and the matching degree is calculated in the following two modes:

the first method is as follows: acquiring the types of historical interest of users, and selecting the first M types with the highest user preference degree; and if the type of the information points around the charging station is matched with at least one of the M types, setting the matching degree of the charging pile to be 1, otherwise, setting the matching degree to be 0.

If M is 2, the first 2 types with the highest user preference are shopping and film watching; and if the types of the information points around the charging station comprise a market or a cinema, setting the matching degree of the corresponding charging station as 1, otherwise, setting the matching degree as 0.

This kind of mode filters the charging station according to the information point that user's hobby degree is the highest, and the user can carry out the activity that oneself likes most when charging, has greatly promoted user experience.

The second method comprises the following steps: acquiring the types of historical interest of users, and selecting the first M types with the highest user preference degree; setting weights for the M types, wherein the higher the user preference degree is, the larger the weight value is;

the matching degree of the types of the information points around the charging station and the interests of the user is as follows: the charging station peripheral information point type is matched with the weight sum of the M types.

If M is 2, the type with the highest user preference is sports, and the weight thereof is set to 10, and the type with the second highest user preference is film watching, and the weight thereof is set to 9. If the types of the information points around the charging station comprise the gymnasium, the matching degree of the corresponding charging station is 10; if the types of the charging station peripheral information points include the gyms and the cinemas, the matching degree of the corresponding charging station is 10+9, namely 19.

The method comprehensively considers a plurality of hobbies of the user, and the charging station with a plurality of information points with higher user hobbies is screened out, so that the user can perform a plurality of favorite activities while charging.

(6) The popularity of information points around the charging station.

And if the current user is a new user or the historical interest of the user cannot be acquired due to privacy, sequencing according to the popularity of the information points around the charging station. Such as ranking according to the longest-going spot, or the most highly rated spot, of other users.

The embodiment further includes a recommendation system for implementing the recommendation method, as shown in fig. 2, including:

the electric quantity obtaining module 1 is used for obtaining the residual electric quantity of the battery of the electric automobile;

the candidate charging station set determining module 2 is used for determining the endurance mileage according to the residual electric quantity, and determining candidate charging stations according to the current position of the vehicle and the endurance mileage to form a candidate charging station set;

the charging station periphery information point data acquisition module 3 is used for acquiring information point data on the periphery of each charging station in the candidate charging station set, wherein the information point data comprises information point types and positions; calculating the residual electric quantity when the vehicle runs to each charging station and the time required by charging the battery to the preset electric quantity;

the recommendation result display module 4 is used for sorting the charging stations in the candidate charging station set according to preset parameters and displaying the position information of N charging stations before the ranking to a user; n is a preset positive integer;

example 2:

this embodiment is an improvement on embodiment 1, and as shown in fig. 3, the difference from embodiment 1 is that step S3 further includes:

obtaining user scheduling information, the scheduling information including a future time at which a user has scheduled an activity;

and if the vehicle runs to the charging station and the time for charging the battery to the preset electric quantity is later than the time in the user scheduling information, deleting the charging pile from the candidate charging station set.

By adding the steps, the charging scheme influencing the user schedule is removed, so that the recommended charging scheme is ensured to better meet the requirements of the user.

The embodiment also discloses a recommendation system for implementing the recommendation method of the embodiment, as shown in fig. 4, which is different from the recommendation system of embodiment 1 in that a user schedule information acquisition module 3-1 and a candidate charging station deletion module 3-2 are added; wherein the user scheduling information acquiring module 3-1 is used for acquiring user scheduling information, and the scheduling information comprises the future time of scheduled activities of the user;

and the charging station candidate deleting module 3-2 is used for deleting the charging piles from the charging station candidate set when the vehicle runs to the charging station and the time for charging the battery to the preset electric quantity is later than the time in the user scheduling information.

Example 3:

the embodiment discloses recommendation equipment of an electric automobile charging scheme, including: a controller 100 and a display device 200 connected to the processor, as shown in fig. 5;

the processor 100 is configured to: acquiring the residual electric quantity of the battery of the electric automobile; determining the endurance mileage according to the residual electric quantity, and determining candidate charging stations according to the current position of the vehicle and the endurance mileage to form a candidate charging station set; acquiring information point data of the periphery of each charging station in the candidate charging station set, wherein the information point data comprises information point types and positions; calculating the residual electric quantity when the vehicle runs to each charging station and the time required by charging the battery to the preset electric quantity; sorting the charging stations in the candidate charging station set according to preset parameters;

the preset parameters include: the distance between the charging station and the vehicle, the number of available charging piles in the charging station, the time required for the vehicle to travel to the charging station, the time required for the battery to be charged to the preset electric quantity after the vehicle travels to the charging station, the matching degree of the types of the information points around the charging station and the user interests, and the popularity of the information points around the charging station;

the display device 200 is configured to: displaying the position information of N charging stations before ranking to a user; n is a preset positive integer.

Example 4:

the embodiment discloses an electric vehicle, which comprises the recommendation device of the electric vehicle charging scheme in the embodiment 3, wherein the recommendation device of the electric vehicle charging scheme is used for recommending the battery charging scheme of the electric vehicle and displaying a recommendation result to a user.

The present embodiment also provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are executed to perform the steps of the method for recommending an electric vehicle charging scheme according to any one of embodiments 1 or 2.

The above description is only an exemplary embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes that are transformed by the content of the present specification and the attached drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.