Charging station recommendation method, charging station recommendation apparatus, and charging station recommendation system

Abstract

A charging station recommendation method, a charging station recommendation apparatus, and a charging station recommendation system. The recommendation method comprises: acquiring information about charging stations within a preset distance range, wherein the preset distance range is a distance range within which a vehicle can travel with the residual charge; generating operation scores of the charging stations on the basis of charging data of the charging stations; generating device scores of the charging stations on the basis of charging pile information of the charging stations; generating service scores of the charging stations on the basis of service information; generating user evaluation scores of the charging stations on the basis of user evaluation information; and generating a ranking result of the charging stations on the basis of the operation scores, the device scores, the service scores and the user evaluation scores, and recommending the ranking result to a user. In this way, a user can select a charging station with a high cost performance ratio and good service, and select a good charging pile on the basis of device scores, thereby shortening the time during which the user selects a charging station or charging pile, and thus improving the charging experience of the user.

Description

Charging station recommendation method, recommendation device and recommendation system

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese patent application No. 202311753205.2, filed on December 19, 2023, entitled “Recommendation method, recommendation device and recommendation system for charging stations,” the entire contents of which are incorporated by reference into this application. Technical Field

[0003] The present invention relates to the technical field of new energy vehicles, and in particular to a charging station recommendation method, a charging station recommendation device, and a charging station recommendation system. Background Art

[0004] With the development of new energy vehicles, the number of new energy vehicles owned continues to increase, but new energy vehicles usually need to be charged through charging piles at charging stations. However, charging stations are service places, and users cannot know the quality of charging station services in advance, which causes users to search back and forth for suitable charging stations or charging piles, wasting users' time and reducing user experience. Summary of the Invention

[0005] The present invention provides a charging station recommendation method, a charging station recommendation device and a charging station recommendation system.

[0006] An embodiment of the present invention provides a method for recommending a charging station, comprising:

[0007] Obtaining information about charging stations within a preset distance range, where the preset distance range is the range of the vehicle's remaining battery life, and the charging station information includes charging data, charging pile information, service information, and user evaluation information for each charging station;

[0008] generating an operation score of the charging station according to the charging data of the charging station;

[0009] Generating a device score for the charging station based on the charging pile information of the charging station;

[0010] generating a service score for the charging station based on the service information;

[0011] generating a user evaluation score for the charging station according to the user evaluation information;

[0012] The charging stations are ranked according to the operation score, equipment score, service score, and user evaluation score, a ranking result of the charging stations is generated, and the ranking result is recommended to the user.

[0013] In some embodiments, generating an operation score of the charging station based on the charging data of the charging station includes:

[0014] Acquire charging data of the charging station within a first preset time according to the charging station information;

[0015] Calculate the average daily charging time, average daily charging amount, average daily charging times and average charging unit price of the charging station based on the charging data;

[0016] An operation score of the charging station is calculated based on the average daily charging duration, the average daily charging amount, the average daily charging times, and the average charging unit price.

[0017] In some embodiments, generating a device score for the charging station based on the charging pile information of the charging station includes:

[0018] Obtaining the online usage rate, failure rate, trip rate, average power and service life of the charging pile according to the charging pile information;

[0019] The equipment score of the charging station is calculated based on the online usage rate, the failure rate, the charging station jump rate, the average power and the service life.

[0020] In certain embodiments, the recommendation method further comprises:

[0021] When the user selects the charging station, generating first navigation information according to the charging station;

[0022] When the user reaches the charging station according to the first navigation information, the charging piles are sorted according to the equipment scores of the charging stations for selection by the user.

[0023] In certain embodiments, the recommendation method further comprises:

[0024] When the user selects the charging pile, generating second navigation information according to the charging pile;

[0025] Arrive at the charging pile according to the second navigation information to use the charging pile for charging.

[0026] In certain embodiments, the recommendation method further comprises:

[0027] When the charging pile is abnormally charged, generating a first prompt message;

[0028] Charging is performed again according to the first prompt information.

[0029] In certain embodiments, the recommendation method further comprises:

[0030] When the charging pile is abnormally charged, generating a second prompt message;

[0031] Replace the charging pile for charging according to the second prompt information.

[0032] In certain embodiments, the recommendation method further comprises:

[0033] In the case that the charging pile is charging abnormally, detecting each charging pile of the charging station;

[0034] If the charging pile is detected to be normal, generating the second prompt information; or

[0035] In the case where the charging pile detection is abnormal, a ranking result of the charging stations is generated and the ranking result is recommended to the user.

[0036] An embodiment of the present invention provides a charging station recommendation device, the recommendation device comprising:

[0037] An acquisition module is configured to acquire information about charging stations within a preset distance range, where the preset distance range is the range of distance the vehicle can travel with its remaining battery power. The charging station information includes charging data, charging pile information, service information, and user evaluation information for each charging station.

[0038] a first generating module, configured to generate an operation score of the charging station based on the charging data of the charging station;

[0039] a second generating module, configured to generate a device score for the charging station based on the charging pile information of the charging station;

[0040] a third generating module, configured to generate a service score for the charging station based on the service information;

[0041] a fourth generating module, configured to generate a user evaluation score for the charging station based on the user evaluation information;

[0042] The ranking module is used to rank the charging stations according to the operation score, equipment score, service score and user evaluation score, generate a ranking result of the charging stations, and recommend the ranking result to the user.

[0043] An embodiment of the present invention provides a charging station recommendation system, comprising a cloud and a mobile terminal. The cloud is used to store charging station information, generate operation scores, equipment scores, service scores, and user evaluation scores based on the charging station information, and rank the charging stations. The ranking results of the charging stations are generated and sent to the vehicle terminal.

[0044] The mobile terminal is used to obtain real-time data of the vehicle, determine a preset distance range based on the real-time data and send it to the cloud, and is also used to receive the sorting result and display it to the user.

[0045] In the charging station recommendation method of the present application, all charging stations within the vehicle's drivable range are determined based on the vehicle's remaining power, ensuring that the vehicle can drive to the charging station for charging. By obtaining charging station information, charging data, charging pile information, service information, and user evaluation information of the charging station can be obtained. The charging data can generate an operation score, and the user can understand the charging cost-effectiveness of the charging station based on the operation score. The charging pile information can generate a device score, and the user can understand the usage status of the charging pile based on the device score. The service information can generate a service score, and the user can judge the service of the charging station based on the service score to improve the user's charging experience at the charging station. The user evaluation information can generate a user evaluation score, and the user can judge past customers' evaluation of the charging station based on the user evaluation score, thereby selecting a charging station that meets their expectations. The charging stations within the range can be ranked based on the operation score, device score, service score, and user evaluation score, and the ranking results can be recommended to the user. The user can select a charging station with high cost-effectiveness and good service, and select a good charging pile based on the device score, saving the user time in selecting a charging station or charging pile and improving the user's charging experience.

[0046] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments with reference to the following drawings, in which:

[0048] FIG1 is a schematic flow chart of a method for recommending a charging station according to an embodiment of the present invention;

[0049] FIG2 is a block diagram of a recommended device for a charging station according to an embodiment of the present invention;

[0050] FIG3 is a schematic diagram of the coordination of the recommendation system of the charging station according to an embodiment of the present invention;

[0051] FIG4 is a schematic flow chart of a method for recommending a charging station according to an embodiment of the present invention;

[0052] FIG5 is a schematic flow chart of a method for recommending a charging station according to an embodiment of the present invention;

[0053] FIG6 is a schematic flow chart of a method for recommending a charging station according to an embodiment of the present invention;

[0054] FIG7 is a flow chart of a method for recommending a charging station according to an embodiment of the present invention;

[0055] FIG8 is a schematic flow chart of a method for recommending a charging station according to an embodiment of the present invention;

[0056] FIG9 is a flow chart of a method for recommending a charging station according to an embodiment of the present invention;

[0057] FIG10 is a flow chart of a method for recommending a charging station according to an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limiting the present invention.

[0059] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like, indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the said features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0060] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections, electrical connections, or mutual communication; direct connections or indirect connections through an intermediate medium; and internal communication between two components or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0061] In the present invention, unless otherwise expressly specified or limited, a first feature being "above" or "below" a second feature may include the first and second features being in direct contact, or may include the first and second features being in contact not directly but through another feature between them. Furthermore, a first feature being "above," "above," and "above" a second feature may include the first feature being directly above or obliquely above the second feature, or may simply mean that the first feature is higher in level than the second feature. A first feature being "below," "below," and "below" a second feature may include the first feature being directly below or obliquely below the second feature, or may simply mean that the first feature is lower in level than the second feature.

[0062] The disclosure below provides many different embodiments or examples for realizing different structures of the present invention. In order to simplify the disclosure of the present invention, the components and settings of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. In addition, the present invention may repeat reference numbers and / or reference letters in different examples. Such repetition is for the purpose of simplicity and clarity and does not in itself indicate the relationship between the various embodiments and / or settings discussed. In addition, the present invention provides examples of various specific processes and materials, but those skilled in the art will recognize the application of other processes and / or the use of other materials.

[0063] Referring to FIG. 1 , an embodiment of the present invention provides a method for recommending a charging station, the method comprising:

[0064] S10: Obtaining information about charging stations within a preset distance range, where the preset distance range is the range of the vehicle's remaining battery life. The charging station information includes charging data, charging pile information, service information, and user evaluation information for each charging station;

[0065] S20: Generate an operation score of the charging station based on the charging data of the charging station;

[0066] S30: Generate a device score for the charging station based on the charging pile information of the charging station;

[0067] S40: Generate a service score for the charging station based on the service information;

[0068] S50: Generate a user evaluation score for the charging station based on the user evaluation information;

[0069] S60: Sort the charging stations according to the operation score, equipment score, service score, and user evaluation score, generate a ranking result of the charging stations, and recommend the ranking result to the user.

[0070] Referring to FIG. 2 , an embodiment of the present invention provides a charging station recommendation device 100. The recommendation device 100 is used to implement a recommendation method. The recommendation device 100 includes an acquisition module 10, a first generation module 20, a second generation module 30, a third generation module 40, a fourth generation module 50, and a ranking module 60. The acquisition module 10 is used to acquire charging station information within a preset distance range, where the preset distance range is the range of the vehicle's remaining battery power. The charging station information includes charging data, charging pile information, service information, and user evaluation information for each charging station. The first generation module 20 is used to generate an operation score for the charging station based on the charging data of the charging station. The second generation module 30 is used to generate a device score for the charging station based on the charging pile information of the charging station. The third generation module 40 is used to generate a service score for the charging station based on the service information. The fourth generation module 50 is used to generate a user evaluation score for the charging station based on the user evaluation information. The ranking module 60 is used to rank the charging stations based on the operation score, device score, service score, and user evaluation score, generate a ranking result for the charging stations, and recommend the ranking result to the user.

[0071] Please refer to Figure 3. An embodiment of the present invention provides a recommendation system for charging stations. The recommendation system includes a cloud and a mobile terminal. The cloud can exchange information with the vehicle terminal and the charging station respectively. The cloud is used to store charging station information, generate operation scores, equipment scores, service scores and user evaluation scores based on the charging station information, and sort the charging stations. The generated sorting results of the charging stations are sent to the vehicle terminal. The mobile terminal is used to obtain real-time data of the vehicle, determine a preset distance range based on the real-time data and send it to the cloud, and is also used to receive the sorting results and display them to the user.

[0072] Specifically, when the vehicle meets the charging conditions, the vehicle-side can obtain real-time data of the vehicle and determine a preset distance range based on the real-time data. For example, when the vehicle's remaining power is less than 20%, or when the user desires to charge the vehicle, the vehicle-side obtains the vehicle's remaining power and calculates the vehicle's remaining travel distance based on the remaining power, thereby determining the preset distance range. The vehicle-side sends the preset distance range to the cloud, which determines all charging stations within the preset distance range based on the preset distance range and retrieves the charging station information of all charging stations. The charging station information includes charging data, charging pile information, service information, and user evaluation information.

[0073] Charging data can include charging time, charge volume, number of charges, and unit price at a charging station. This data can be used to determine the station's operational status and thus calculate its operational score. Charging pile information can include information about the usage of charging piles, such as their utilization rate, failure rate, charging power, and age. This information can be used to assess the performance of all charging piles at a charging station and generate a charging pile equipment score.

[0074] Furthermore, the service information may be the service facilities of the charging station, and the service score may be scored based on whether the service facilities are complete. For example, the service information may include whether the charging station has a convenience store, the business hours of the convenience store, whether the parking space has a ground lock, whether the charging station has a toilet, and whether the charging station is open-air, etc., wherein the full score for the service score is set to 100 points, 35 points will be awarded for having a convenience store, 0 points will be awarded for not having a convenience store, 10 points will be awarded for a convenience store that is open 24 hours a day, and 5 points will be awarded for non-24-hour business hours, 10 points will be awarded for a parking space that has a ground lock, and 0 points will be awarded for not having a ground lock, 35 points will be awarded for a charging station that has a toilet, and 0 points will be awarded for not having a toilet, 10 points will be awarded for an open-air setting of the charging station, and 0 points will be awarded for a non-open-air setting.

[0075] User evaluation information may include star ratings and text reviews. The user evaluation score of the charging station can be obtained based on the user evaluation information. For example, the full score of the user evaluation score is 100 points, of which star rating accounts for 50 points and text review accounts for 50 points. The average star rating is greater than or equal to 4.9 and gets 50 points, and each decrease of 0.2 stars reduces the score by 5 points. That is, when the average star rating is 3.9, 25 points are obtained, and the average star rating is set to be lower than 3.9 to get 0 points. The number of text reviews is greater than or equal to 20 to get 50 points, the number of text reviews is less than 20 and greater than or equal to 10 to get 30 points, and the number of text reviews is less than 10 to get 0 points. The user evaluation score can be calculated in this way. It can be understood that the scoring criteria for star ratings and text reviews can be configured according to actual conditions and are not limited here.

[0076] In certain embodiments, the maximum score for the operation score, equipment score, service score, and user evaluation score can be set to 100, with the operation score accounting for 25%, the equipment score accounting for 25%, the service score accounting for 25%, and the user evaluation score accounting for 25%. This is used to calculate the overall score of the charging station, and the charging stations are sorted according to the overall score, so that those with high overall scores are recommended to users first. It is worth noting that the weighting of the operation score, equipment score, service score, and user evaluation score can be customized by the user to meet their personalized needs.

[0077] In the charging station recommendation method of the present application, all charging stations within the vehicle's drivable range are determined based on the vehicle's remaining power, ensuring that the vehicle can drive to the charging station for charging. By obtaining charging station information, charging data, charging pile information, service information, and user evaluation information of the charging station can be obtained. The charging data can generate an operation score, and the user can understand the charging cost-effectiveness of the charging station based on the operation score. The charging pile information can generate a device score, and the user can understand the usage status of the charging pile based on the device score. The service information can generate a service score, and the user can judge the service of the charging station based on the service score to improve the user's charging experience at the charging station. The user evaluation information can generate a user evaluation score, and the user can judge past customers' evaluation of the charging station based on the user evaluation score, thereby selecting a charging station that meets their expectations. The charging stations within the range can be ranked based on the operation score, device score, service score, and user evaluation score, and the ranking results can be recommended to the user. The user can select a charging station with high cost-effectiveness and good service, and select a good charging pile based on the device score, saving the user time in selecting a charging station or charging pile and improving the user's charging experience.

[0078] Referring to FIG. 4 , in some embodiments, S20 includes:

[0079] S21: Obtaining charging data of the charging station within a first preset time according to the charging station information;

[0080] S22: Calculate the average daily charging time, average daily charging capacity, average daily charging times, and average charging unit price of the charging station based on the charging data;

[0081] S23: Calculate the operation score of the charging station based on the average daily charging time, average daily charging volume, average daily charging times and average charging unit price.

[0082] In some embodiments, S21, S22 and S23 can be implemented by the first generation module 20, that is, the first generation module 20 is used to obtain the charging data of the charging station within the first preset time based on the charging station information, and to calculate the average daily charging time, average daily charging amount, average daily charging times and average charging unit price of the charging station based on the charging data, and to calculate the operation score of the charging station based on the average daily charging time, average daily charging amount, average daily charging times and average charging unit price.

[0083] Specifically, when obtaining charging station information in the cloud, charging data within a first preset time can be obtained based on the charging station information. The first preset time can be one month, one week, etc. For example, when the first preset time is one month, charging data for nearly one month can be obtained based on the charging station information. The charging data is all charging orders for nearly one month, that is, the charging data may include charging time, charging amount, number of charging times and charging fee. It can be understood that the average daily charging time, average daily charging amount, average daily number of charging times and average charging unit price of the charging station can be calculated based on the charging data.

[0084] Furthermore, the charging station's operational score can be calculated based on the average daily charging time, average daily charge volume, average daily charge times, and average charging price. For example, the full operational score is 100 points, with the average daily charging time, average daily charge volume, average daily charge times, and average charging price each accounting for 25 points. If the average daily charging time exceeds 20 hours, 25 points are awarded, with each hour of decrease decreasing by 1 point. If the average daily charge volume exceeds 1,000 kWh, 25 points are awarded, with each 40 kWh decrease decreasing by 1 point. If the average daily charge times exceed 30 times, 25 points are awarded, with each decrease decreasing by 1 point, with a minimum score of 0 points. If the average charging price exceeds 1,000 yuan, 25 points are awarded, with each 40 yuan decrease decreasing by 1 point. The operational score is then calculated by adding together the charging station's average daily charging time score, average daily charge volume score, average daily charge times score, and average charging price score. It is understandable that the score proportion and score calculation method of the average daily charging time, average daily charging amount, average daily charging times and average charging unit price can be configured according to actual conditions while ensuring that the total score is 100 points, and there is no limitation here.

[0085] In this way, by obtaining the charging data of the charging station within the first preset time, the average daily charging time, average daily charging amount, average daily charging times and average charging unit price of the charging station can be calculated based on the charging data, thereby calculating the operation score of the charging station. Users can judge the charging cost-effectiveness of the charging station based on the operation score, and thus choose a charging station with high cost-effectiveness, thereby improving the user's charging experience.

[0086] Referring to FIG. 5 , in some embodiments, S30 includes:

[0087] S31: Obtain the online usage rate, failure rate, trip rate, average power, and service life of the charging pile based on the charging pile information;

[0088] S32: Calculate the equipment score of the charging station based on the online usage rate, failure rate, pile jumping rate, average power and service life.

[0089] In some embodiments, S31 and S32 can be implemented by the second generation module 30, that is, the second generation module 30 is used to obtain the online usage rate, failure rate, pile jumping rate, average power and service life of the charging pile based on the charging pile information, and to calculate the equipment score of the charging station based on the online usage rate, failure rate, pile jumping rate, average power and service life.

[0090] Specifically, when the charging station information is obtained in the cloud, the online usage rate, failure rate, trip rate, average power and service life of all charging piles in the charging station can be obtained based on the charging station information. It can be understood that the online usage rate is the ratio of the time when the charging pile is in normal state to the total time, the failure rate is the ratio of the time when the charging pile is in abnormal state to the total time, the trip rate is the ratio of the time when the charging pile responds to the abnormality under power supply conditions to the number of times the power is supplied, the average power is the average of the power supply power of the charging pile, and the service life is the length of time since the charging pile was first installed.

[0091] Furthermore, a charging station's equipment score can be calculated based on online usage rate, failure rate, trip rate, average power, and age. For example, taking one month's data as an example, the online usage rate is the ratio of the time the charging station is in normal operation to the entire month. The maximum score for online usage rate is 100 points. A 100% online usage rate is 100 points, and every 1% decrease in online usage rate reduces by 10 points. A rate below 90% is 0 points. The maximum score for failure rate is 100 points. A failure rate of 0 is 100 points, and every 2% increase in failure rate reduces by 10 points. A failure rate above 20% is 0 points. The maximum score for trip rate is 100 points. A failure rate of 0 is 100 points, and every 3% increase in trip rate reduces by 10 points. A trip rate above 30% is 0 points. The maximum score for average power is 100 points. A power above 350 kW is 100 points, and every 50 kW decrease in average power reduces by 10 points. The minimum score is 0 points. The full score for the service life is 100 points. If the service life is less than one year, it will be 100 points. 20 points will be deducted for each additional year. If the service life is not less than 5 years, it will be 0 points.

[0092] The equipment score can be calculated from the scores of online utilization rate, failure rate, tripping rate, average power, and age. For example, the online utilization rate is weighted 25%, the failure rate is weighted 30%, the tripping rate is weighted 25%, the average power is weighted 10%, and the age is weighted 10%. The equipment score is calculated by multiplying the scores of online utilization rate, failure rate, tripping rate, average power, and age by their respective weights. The maximum score for the equipment score is 100. It is understood that the sum of the weights of online utilization rate, failure rate, tripping rate, average power, and age is 1. The specific weight distribution can be configured according to actual conditions and is not limited here.

[0093] In this way, by obtaining the charging station information, the online usage rate, failure rate, jump rate, average power and service life of the charging pile can be obtained, and the equipment score of the charging station can be calculated based on the online usage rate, failure rate, jump rate, average power and service life. Users can judge the quality of the charging pile based on the equipment score, and thus choose a suitable charging pile for charging, which improves the user experience.

[0094] Referring to FIG. 6 , in some embodiments, the recommended method further includes:

[0095] S71: When the user selects a charging station, generating first navigation information according to the charging station;

[0096] S72: When the user arrives at the charging station according to the first navigation information, the charging piles are sorted according to the equipment scores of the charging station for selection by the user.

[0097] Specifically, the user selects a charging station on the vehicle side based on the ranking results of the charging stations. If the user selects a charging station, the vehicle side can generate first navigation information based on the positioning information of the charging station and the vehicle, so that the user can drive to the selected charging station according to the first navigation information. When the vehicle drives to the charging station, the vehicle side can sort the charging piles based on the equipment score of the charging station and recommend the ranking results to the user. The user can then select the charging pile with the high equipment score to charge.

[0098] Referring to FIG. 7 , in some embodiments, the recommended method further includes:

[0099] S73: When the user selects a charging pile, generating second navigation information according to the charging pile;

[0100] S74: Arrive at the charging pile according to the second navigation information to use the charging pile for charging.

[0101] Specifically, when the user selects a charging pile based on the device score, the vehicle side can generate second navigation information based on the location of the charging pile and the location of the vehicle, so that the user can drive to the selected charging pile according to the second navigation information and use the charging pile for charging.

[0102] Referring to FIG8 , in some embodiments, the recommended method further includes:

[0103] S81: generating a first prompt message when the charging pile is abnormally charged;

[0104] S82: Charge again according to the first prompt information.

[0105] Specifically, when a user uses a charging pile to charge, if the charging pile charges abnormally, the vehicle side can generate a first prompt message to remind the user that there is an abnormality in charging. For example, the first prompt message can be "Please re-plug the gun and then start charging." The user can operate according to the first prompt message to recharge.

[0106] Furthermore, referring to FIG9 , the recommended method further includes:

[0107] S83: generating a second prompt message when the charging pile is abnormally charged;

[0108] S84: Replace the charging pile for charging according to the second prompt information.

[0109] Specifically, after the user recharges, the vehicle side can reconfirm whether the charging pile is supplying power normally. If the charging pile is charging abnormally, the vehicle side can generate a second prompt message. For example, the second prompt message can be "Please change the charging pile for charging". The user can change the charging pile for charging according to the second prompt message.

[0110] Referring to FIG. 10 , in certain embodiments, the recommended method further includes:

[0111] S91: In the case of abnormal charging of the charging pile, detecting each charging pile of the charging station;

[0112] S92: If the charging pile is detected to be normal, generate a second prompt message; or

[0113] S93: When the charging pile detection is abnormal, generate a ranking result of the charging stations and recommend the ranking result to the user.

[0114] Specifically, after the user replaces the charging pile, the vehicle side will again detect whether the charging pile is supplying power normally. If the charging pile is charging abnormally, the vehicle side can send a detection request to the cloud. After receiving the detection request, the cloud side will perform real-time detection on all charging piles in the charging station. If the cloud side detects that the charging pile is in normal condition, the vehicle side can generate a second prompt message again, and the user can replace the charging pile for charging according to the second prompt message.

[0115] If the cloud detects that the charging pile of the charging station is in an abnormal state, the cloud can re-sort the charging stations within the preset distance range and send the sorting results to the vehicle for the user to choose. The user reselects the charging station based on the sorting results and changes the charging station for charging.

[0116] In this way, by generating first navigation information when the user selects a charging station, the user can drive to the selected charging station according to the first navigation information. When the user arrives at the charging station, the charging piles are sorted according to the equipment rating, allowing the user to select a good charging pile for charging. In the event of an abnormal charging pile, first and second prompts are generated based on the abnormal state of the charging pile, allowing the user to operate according to the first and second prompts to complete charging, avoiding the user being at a loss when encountering a charging pile failure, thereby improving the user experience.

[0117] Throughout this specification, reference to terms such as "one embodiment," "certain embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative descriptions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0118] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the claims and their equivalents.

Claims

1. A charging station recommendation method, characterized in that: include: Obtaining charging station information within a preset distance range, wherein the preset distance range is the range of the vehicle's remaining battery power that can be driven, and the charging station information includes charging data, charging pile information, service information, and user evaluation information of each charging station; generating an operation score of the charging station according to the charging data of the charging station; Generating a device score of the charging station according to the charging pile information of the charging station; generating a service score for the charging station according to the service information; generating a user evaluation score for the charging station according to the user evaluation information; The charging stations are ranked according to the operation score, equipment score, service score and user evaluation score, a ranking result of the charging stations is generated, and the ranking result is recommended to the user.

2. The recommendation method according to claim 1, characterized in that: Generating an operation score of the charging station according to the charging data of the charging station includes: Acquire charging data of the charging station within a first preset time according to the charging station information; Calculate the average daily charging time, average daily charging amount, average daily charging times and average charging unit price of the charging station according to the charging data; The operation score of the charging station is calculated according to the average daily charging duration, the average daily charging amount, the average daily charging times and the average charging unit price.

3. The recommendation method according to claim 1, characterized in that: Generating a device score of the charging station according to the charging pile information of the charging station includes: Obtaining the online usage rate, failure rate, pile trip rate, average power and service life of the charging pile according to the charging pile information; The equipment score of the charging station is calculated according to the online usage rate, the failure rate, the pole-hopping rate, the average power and the service life.

4. The recommendation method according to claim 1, characterized in that: The recommended method also includes: In case the user selects the charging station, generating first navigation information according to the charging station; In case of reaching the charging station according to the first navigation information, the charging piles are sorted according to the equipment scores of the charging station for selection by the user.

5. The recommendation method according to claim 4, characterized in that: The recommended method also includes: In the case where the user selects the charging pile, generating second navigation information according to the charging pile; The charging pile is reached according to the second navigation information to use the charging pile for charging.

6. The recommendation method according to claim 5, characterized in that: The recommended method also includes: In case of abnormal charging of the charging pile, generating a first prompt message; Charging is performed again according to the first prompt information.

7. The recommendation method according to claim 6, characterized in that: The recommended method also includes: In case of abnormal charging of the charging pile, generating a second prompt message; Replace the charging pile for charging according to the second prompt information.

8. The recommendation method according to claim 7, characterized in that: The recommended method also includes: In case that the charging pile is charging abnormally, detecting each of the charging piles of the charging station; If the charging pile is detected to be normal, generating the second prompt information; or In the case where the charging pile detects an abnormality, a ranking result of the charging stations is generated and the ranking result is recommended to the user.

9. A charging station recommendation device, characterized in that: The recommended devices include: An acquisition module, the acquisition module is used to acquire charging station information within a preset distance range, the preset distance range is the range of the vehicle's remaining power that can be driven, and the charging station information includes charging data, charging pile information, service information and user evaluation information of each charging station; A first generating module, the first generating module is used to generate an operation score of the charging station according to the charging data of the charging station; A second generating module, the second generating module is used to generate a device score of the charging station according to the charging pile information of the charging station; a third generating module, the third generating module being configured to generate a service score of the charging station according to the service information; a fourth generating module, the fourth generating module being used to generate a user evaluation score of the charging station according to the user evaluation information; The ranking module is used to rank the charging stations according to the operation score, equipment score, service score and user evaluation score, generate a ranking result of the charging stations, and recommend the ranking result to the user.

10. A charging station recommendation system, characterized in that: The recommendation system includes a cloud and a mobile terminal, wherein the cloud is used to store charging station information, generate operation scores, equipment scores, service scores and user evaluation scores according to the charging station information, and sort the charging stations, and generate the sorting results of the charging stations and send them to the vehicle terminal; The mobile terminal is used to obtain real-time data of the vehicle, determine a preset distance range according to the real-time data and send it to the cloud, and is also used to receive the sorting result and display it to the user.

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