Charging pile recommendation method and device, vehicle, electronic equipment and medium

Abstract

The invention provides a charging pile recommendation method and device, a vehicle, electronic equipment and a medium, and the method comprises the steps: obtaining historical charging process data of each candidate charging pile in an area where a target vehicle is located when the target vehicle triggers a charging recommendation request; calculating a comprehensive recommendation score of each candidate charging pile based on the historical charging process data and a target charging demand of the target vehicle; the historical charging process data comprises charging capacity data, current response speed data, charging abnormal behavior data and charging interruption reason data of the charging pile; and determining the candidate charging pile with the highest comprehensive recommendation score in the candidate charging piles as the target charging pile which is most matched with the target charging demand of the target vehicle. Thus, the candidate charging piles are comprehensively evaluated and recommended through the historical charging process data of the charging piles in combination with the charging demand of the target vehicle, the matching degree of the recommended charging piles and the vehicle can be improved, and then the charging efficiency of the vehicle is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric vehicle charging, and in particular to a charging pile recommendation method and device, a vehicle, an electronic device, and a medium. BACKGROUND

[0002] With the continuous expansion of the new energy vehicle market and the continuous increase of charging infrastructure, the recommendation and selection of charging piles and other charging infrastructure by electric vehicles have become a new problem.

[0003] Although existing charging piles all take the charging national standard as a reference, different types of charging piles perform differently during charging, such as charging speed, charging pile capacity, and charging current stability, which can affect the charging of power batteries. Some charging piles may even have an abnormally large current and other working conditions, which not only damage the power battery but also cause safety accidents. Therefore, it is necessary to monitor the charging process of the charging pile and recommend a charging pile to the user.

[0004] Existing charging pile recommendation methods often recommend charging piles based on economic aspects such as charging pile distance, charging pile queuing situation, and charging pile charging situation, which results in a low matching degree between the charging capacity of the recommended charging pile and the charging demand of the vehicle, and further leads to a low charging efficiency of the vehicle. SUMMARY

[0005] Therefore, the embodiments of the present application provide a charging pile recommendation method, device, vehicle, electronic device, and medium, which can improve the matching degree between the recommended charging pile and the vehicle by comprehensively evaluating and recommending candidate charging piles based on historical charging process data of the charging pile and charging demand of the target vehicle, and further improve the charging efficiency of the vehicle.

[0006] The present application mainly includes the following aspects: In a first aspect, the embodiments of the present application provide a charging pile recommendation method, which includes: When a target vehicle triggers a charging recommendation request, historical charging process data of each candidate charging pile in the area where the target vehicle is located is obtained; Based on the historical charging process data and the target charging demand of the target vehicle, a comprehensive recommendation score of each candidate charging pile is calculated; the historical charging process data includes charging pile charging capacity data, current response speed data, charging abnormal behavior data, and charging termination reason data; The candidate charging pile with the highest comprehensive recommendation score among the candidate charging piles is determined as the target charging pile that best matches the target charging demand of the target vehicle.

[0007] In a second aspect, the embodiments of the present application further provide a charging pile recommendation device, the charging pile recommendation device comprising: a data acquisition module configured to acquire historical charging process data of each candidate charging pile in a region where a target vehicle is located when the target vehicle triggers a charging recommendation request; a score calculation module configured to calculate a comprehensive recommendation score of each candidate charging pile based on the historical charging process data and a target charging demand of the target vehicle, wherein the historical charging process data comprises charging capacity data, current response speed data, charging abnormal behavior data and charging termination reason data of the charging pile; a charging pile recommendation module configured to determine a candidate charging pile with the highest comprehensive recommendation score among the candidate charging piles as a target charging pile that is most matched with the target charging demand of the target vehicle.

[0008] In a third aspect, the embodiments of the present application further provide a vehicle comprising the charging pile recommendation device as described above.

[0009] In a fourth aspect, the embodiments of the present application further provide an electronic device comprising a processor, a memory and a bus, wherein the memory stores machine readable instructions executable by the processor, the processor and the memory communicate with each other through the bus when the electronic device is running, and the machine readable instructions are executed by the processor to perform the steps of the charging pile recommendation method as described above.

[0010] In a fifth aspect, the embodiments of the present application further provide a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed by the processor to perform the steps of the charging pile recommendation method as described above.

[0011] The embodiments of the present application provide a charging pile recommendation method, device, vehicle, electronic device and medium, wherein the method comprises: acquiring historical charging process data of each candidate charging pile in a region where a target vehicle is located when the target vehicle triggers a charging recommendation request; calculating a comprehensive recommendation score of each candidate charging pile based on the historical charging process data and a target charging demand of the target vehicle, wherein the historical charging process data comprises charging capacity data, current response speed data, charging abnormal behavior data and charging termination reason data of the charging pile; and determining a candidate charging pile with the highest comprehensive recommendation score among the candidate charging piles as a target charging pile that is most matched with the target charging demand of the target vehicle. In this way, the candidate charging pile is comprehensively evaluated and recommended by combining the historical charging process data of the charging pile with the charging demand of the target vehicle, which can improve the matching degree of the recommended charging pile and the vehicle, and further improve the charging efficiency of the vehicle.

[0012] In order to make the above objectives, characteristics and advantages of the present application more apparent, more comprehensible, the following preferred embodiments are specifically described in detail below, together with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0013] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0014] Figure 1 A flow chart of a charging pile recommendation method provided by an embodiment of the present application is shown. Figure 2 A functional module diagram of a charging pile recommendation device provided by an embodiment of the present application is shown. Figure 3 A functional module diagram of a vehicle provided by an embodiment of the present application is shown. Figure 4 A structural schematic diagram of an electronic device provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0015] In order to make the objectives, technical solutions and advantages of the embodiments of the present application more apparent, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0016] In order to facilitate the understanding of the present application, the technical solutions provided by the present application will be described in detail below with reference to specific embodiments.

[0017] Please refer to Figure 1 , Figure 1 A flow chart of a charging pile recommendation method provided by an embodiment of the present application is shown. As shown in Figure 1 , the charging pile recommendation method provided by the embodiment of the present application includes the following steps: S101, when a target vehicle triggers a charging recommendation request, historical charging process data of each candidate charging pile in the area where the target vehicle is located is obtained.

[0018] Here, the target vehicle refers to an electric vehicle that needs to be charged, and the charging recommendation request can be triggered when the user has a charging intention or the vehicle has a low power level. The method for detecting the user's charging intention includes but is not limited to detecting the user searching for nearby charging stations on the car machine, detecting the signal 1 navigating to the charging pile, and detecting the user selecting immediate charging on the APP. The method for determining the low power level of the vehicle includes but is not limited to the instrument battery power (State of Charge, SOC) being lower than a certain limit, and the single voltage approaching the under-voltage alarm limit. When the target vehicle triggers the charging recommendation request, the cloud big data will automatically obtain the historical charging process data of all candidate charging piles in the area where the target vehicle is located. These data include charging pile charging capacity data, current response speed data, charging abnormal behavior database and charging termination reason data, which are obtained and uploaded to the cloud database by the target vehicle or other vehicles in the historical charging process.

[0019] S102, based on the historical charging process data and the target charging demand of the target vehicle, calculate the comprehensive recommendation score of each candidate charging pile; the historical charging process data includes charging pile charging capacity data, current response speed data, charging abnormal behavior data and charging termination reason data.

[0020] Here, the target charging demand refers to the specific charging demand of the target vehicle, which can be determined according to the user's charging mode selection or charging preference selection, such as charging speed, charging safety, etc. The user can set these requirements through the car machine system or mobile phone APP. The comprehensive recommendation score is a comprehensive score, which is used to evaluate the matching degree of each candidate charging pile and the target vehicle charging demand. The higher the score, the higher the matching degree. The historical charging process data includes charging pile charging capacity data, current response speed data, charging abnormal behavior data and charging termination reason data. Among them, the charging capacity data of the charging pile is the ratio of the actual output capacity of the charging pile to the maximum output current capacity; the current response speed data includes the charging current response speed in the charging start stage, the charging pile current change response speed when the requested current changes in the charging process, and the charging pile output current zero speed after the charging request is cleared in the charging end stage; the charging abnormal behavior data includes the case that the output current far exceeds the requested current in the charging process, and the charging pile communication timeout; the charging termination reason data includes who initiates the charging termination and the specific reason for initiating the termination. These data can comprehensively reflect the actual performance and reliability of the charging pile through multi-dimensional evaluation method. By considering these data and the charging demand of the target vehicle, the system can calculate a comprehensive recommendation score for each candidate charging pile. This multi-dimensional evaluation method ensures that the recommended result is highly matched with the charging demand of the target vehicle, and improves the charging efficiency and user experience.

[0021] S103, determining the candidate charging pile with the highest comprehensive recommendation score among the candidate charging piles as the target charging pile that best matches the target charging demand of the target vehicle.

[0022] Here, the target charging pile refers to the charging pile with the highest comprehensive recommendation score among all candidate charging piles, i.e., the charging pile that best matches the target vehicle's charging demand. By selecting the candidate charging pile with the highest comprehensive recommendation score, the system can ensure that the recommendation result best meets the target vehicle's charging demand, improving charging efficiency and user experience. For example, suppose after the above calculation, the system finds that a certain charging pile has the highest comprehensive recommendation score. This charging pile has strong charging capacity, fast current response speed, and almost no abnormal behavior and interruption during historical charging processes. Therefore, the system determines this charging pile as the target charging pile and recommends it to the user. The user can receive the recommendation result through the vehicle infotainment system or mobile phone APP and choose this charging pile for charging.

[0023] Further, the calculation of the comprehensive recommendation score of each candidate charging pile based on the historical charging process data and the target charging demand of the target vehicle includes: Step a1, determining the evaluation index weight of each data in the historical charging process data according to the target charging demand of the target vehicle.

[0024] Here, the evaluation index weight is dynamically adjusted according to the specific charging demand of the target vehicle (such as charging speed, charging safety, etc.). For example, if the user pays more attention to charging speed, the evaluation index weight of the charging capacity data will be higher to preferentially recommend charging piles with strong charging capacity; if the user pays more attention to charging safety or battery life, the evaluation index weight of the charging abnormal behavior data will be higher to preferentially recommend charging piles with no charging abnormal behavior. If the user sets a reservation charging, the evaluation index weight of the charging abnormal behavior data and the charging interruption reason data will be higher to preferentially recommend charging piles with higher scores in charging abnormal behavior and charging interruption reason indicators, ensuring that the user's vehicle can complete charging normally. If the user does not select a mode, the system will calculate the comprehensive score according to the default evaluation index weight and sort the results from high to low for recommendation. In this way, the system can adjust the weight of each evaluation index according to the user's individual needs, ensuring that the recommendation result better meets the user's actual needs.

[0025] Step a2, calculating the evaluation index score of each data in the historical charging process data.

[0026] Here, the evaluation index score is calculated based on historical charging process data. For example, the score of charging capacity data can be determined by calculating the ratio of actual output current to maximum output current; the score of current response speed data can be determined by calculating the response speed of current rise time, current change time and current fall time; the score of charging abnormal behavior data can be determined by monitoring the type and frequency of abnormal behavior during charging; the score of charging termination reason data can be determined by monitoring the type and frequency of charging termination reason. By calculating these evaluation index scores respectively, the system can provide a comprehensive performance evaluation for each candidate charging pile.

[0027] Further, the accuracy of the charging pile recommendation result can also be continuously improved according to the historical charging process data of different charging piles in different regions. For multiple charging processes of the same charging pile, the most recent few charging processes can be selected for real-time updating and comprehensive evaluation to obtain a more accurate and real-time charging process evaluation result, which helps to improve the charging experience of users.

[0028] Step a3, multiply the evaluation index score of each data by the corresponding evaluation index weight and then perform weighted summation to obtain the comprehensive recommendation score of each candidate charging pile.

[0029] Here, the comprehensive recommendation score is obtained by multiplying each evaluation index score by its corresponding weight and then performing weighted summation. This weighted summation method can consider the weights of each evaluation index and user demand to ensure the accuracy and reliability of the recommendation result. For example, assuming that the charging capacity score of a candidate charging pile is 8 points, the weight is 0.4; the current response speed score is 7 points, the weight is 0.3; the charging abnormal behavior score is 9 points, the weight is 0.2; the charging termination reason score is 6 points, the weight is 0.1. Then the comprehensive recommendation score of the candidate charging pile is: 8x0.4 + 7x0.3 + 9x0.2 + 6x0.1 = 7.7 points.

[0030] Further, the evaluation index score of the charging capacity data is calculated according to the following steps: Step b1, obtain the maximum output current of the candidate charging pile and the actual output current of the candidate charging pile during the charging process.

[0031] Here, the maximum output current refers to the maximum current value that the charging pile can provide in design, and the actual output current refers to the current value that the charging pile outputs in actual charging process. By obtaining these two parameters, the system can calculate the actual charging capacity of the charging pile.

[0032] Step b2, calculate the current ratio of the actual output current to the maximum output current.

[0033] Here, the current ratio is obtained by dividing the actual output current by the maximum output current. This ratio reflects the degree of matching between the actual charging capacity of the charging pile and its designed capacity. For example, if the current ratio is 1, it means that the actual output current of the charging pile has reached its maximum output capacity; if the current ratio is less than 1, it means that the actual output current of the charging pile has not reached its maximum output capacity.

[0034] In the embodiments of the present application, the maximum output current sent by the charging pile is obtained in the charging interaction stage; if the maximum output current sent by the charging pile exceeds the specified range, it is considered invalid, and the charging capacity of the charging pile is treated as 100%. The current charging request current is obtained according to the current state of the power battery, and the capacity is judged in combination with the maximum output current of the charging pile.

[0035] Specifically, when the above charging request current is greater than or equal to the maximum output current of the charging pile, the actual output current is monitored, and when the actual output current of the charging pile deviates from the maximum output current of the charging pile within a certain range, such as 3A, it is judged that the capacity of the charging pile is 100%; when the actual output current of the charging pile deviates from the maximum output current of the charging pile by more than a certain range, the capacity of the charging pile is calculated according to the actual output maximum current / the maximum output current of the charging pile.

[0036] When the above charging request current is less than the maximum output current of the charging pile, the actual output current is monitored, and when the charging request current is small, such as less than 50A, the charging pile is treated as 100% capacity; when the actual output current and the charging request current differ by a small amount, the charging pile capacity is treated as 100%; when the charging request current and the maximum output current of the charging pile differ by a small amount, the capacity of the charging pile is calculated according to the actual output maximum current.

[0037] Step b3, determining the evaluation index score of the charging capacity data according to the current ratio.

[0038] Here, the evaluation index score of the charging capacity data is determined according to the current ratio. For example, a reference score can be set, when the current ratio is close to 1, the evaluation index score is higher; when the current ratio is significantly less than 1, the evaluation index score is lower. In this way, the system can objectively evaluate the charging capacity of the charging pile.

[0039] Further, the evaluation index score of the current response speed data is calculated according to the following steps: Step c1, determining the current rise time, current change time and current fall time of the candidate charging pile based on the current change of the candidate charging pile in the charging process.

[0040] Here, the current rise time refers to the time from the start of charging to the current reaching the maximum output current; the current change time refers to the time for the current to change from the initial value to the target value when the current changes during charging; and the current fall time refers to the time for the current to fall from the current value to zero at the end of charging. By monitoring these time parameters, the system can comprehensively understand the current response speed of the charging pile at different stages.

[0041] Step c2, respectively calculating the response speed scores corresponding to the current rise time, the current change time and the current fall time, and performing weighted summation on each of the response speed scores to obtain the evaluation index score of the current response speed data.

[0042] Here, the response speed score is calculated according to the current rise time, the current change time and the current fall time. For example, a reference time can be set, and when the actual response time is close to the reference time, the response speed score is higher; and when the actual response time is significantly greater than the reference time, the response speed score is lower. By performing weighted summation on these response speed scores, the system can obtain a comprehensive current response speed evaluation index score, which comprehensively reflects the current response performance of the charging pile.

[0043] In the actual example of the present application, when the charging process enters the charging stage and the charging request current is sent, the timing is started, the time for the actual current to rise from zero to the actual maximum output current is monitored, and the current rise rate is calculated; when the charging request current changes during the charging process, the actual charging current change rate is monitored; when the vehicle end judges that the full charging or charging stop condition is met, the charging request current is cleared as the timing starting point, and the time for the actual charging current to be cleared is recorded, and the charging current clearing rate at the end of charging is calculated.

[0044] Further, the evaluation index score of the charging abnormal behavior data is calculated according to the following steps: Step d1, determining the charging abnormal behavior type and the abnormal behavior occurrence frequency of the candidate charging pile based on the monitoring data of the candidate charging pile during the charging process.

[0045] Here, the charging abnormal behavior type includes current abnormality, communication abnormality, etc. By monitoring the current value and the communication state during the charging process, the system can identify whether there is an abnormal behavior. The abnormal behavior occurrence frequency refers to the number of times of abnormal behavior within a certain time. By monitoring these data, the system can comprehensively understand the stability and reliability of the charging pile.

[0046] In the embodiment of the present application, the judgment of the charging abnormal large current is: In the charging process, the charging current is monitored in real time to determine whether the actual charging current is greater than the charging request current. If the actual charging current is less than the charging request current throughout the charging process, it is determined that there is no abnormal current. If the actual charging current is greater than the charging request current and exceeds a duration threshold during the charging process, the controller diagnoses a charging overcurrent, and the charging abnormality flag is set to 1. If the actual charging current is greater than a threshold, such as 1000 A, or greater than N (such as N > 1.5) times the current battery charging capacity, but the duration is less than a fault confirmation threshold, which may cause a safety hazard, the situation is also determined as an abnormal behavior, and the charging abnormality flag is set to 1. If an abnormal current is detected during the charging process, the charging request current is first reduced, and if the abnormal current is still detected after the reduction, the charging is exited.

[0047] The charging communication abnormality judgment method is as follows: During the charging process, the charging pile and vehicle communication message interaction is monitored in real time to identify whether there are message stop sending, message sending content abnormality, etc. If the charging pile end message sending timeout is monitored during the charging process, and the timeout time exceeds the set time threshold, the timeout times are added by 1, and the timeout reconnection is waited to enter. If the reconnection is successful under the above circumstances, but during the charging process, the charging pile end message sending timeout times exceed 3 times, the charging communication abnormality flag is set to 1. If it is detected during the charging process that part of the message sending content does not meet the protocol requirements, the charging communication abnormality flag is set to 1, and if it affects the safety of the battery, the vehicle end can actively terminate the charging.

[0048] Step d2, respectively calculating the abnormal behavior scores corresponding to the charging abnormal behavior types, and adjusting the abnormal behavior scores according to the abnormal behavior occurrence frequency.

[0049] Here, the abnormal behavior score is set according to the influence degree of the charging abnormal behavior type on the charging process. For example, the basic score of the current abnormality may be lower, and the basic score of the communication abnormality may be higher. According to the abnormal behavior occurrence frequency, the system can adjust the basic score. For example, if the abnormal behavior occurrence frequency is high, the score is reduced; if the abnormal behavior occurrence frequency is low, the score remains unchanged.

[0050] Step d3, weighting and summing the adjusted abnormal behavior scores to obtain the evaluation index score of the charging abnormal behavior data.

[0051] Here, by weighting and summing the adjusted abnormal behavior scores, the system can obtain a comprehensive charging abnormal behavior evaluation index score, which fully reflects the abnormal behavior of the charging pile. This step ensures that the recommended result can avoid selecting a charging pile with safety hazards or poor performance to the greatest extent.

[0052] Further, the evaluation index score of the charging termination reason data is calculated according to the following steps: Step e1, based on the monitoring data of the candidate charging pile in the charging process, the charging termination reason type and the termination reason frequency of the candidate charging pile are determined.

[0053] Here, the charging termination reason type includes user active termination, charging pile fault termination, charging pile unknown reason termination, vehicle end active termination, etc. By monitoring the interactive messages in the charging process, the system can identify the reason for the termination. The termination reason frequency refers to the number of times the termination reason occurs within a certain time. By monitoring these data, the system can comprehensively understand the stability and reliability of the charging pile.

[0054] In the embodiments of the present application, the reason for the current charging termination can be obtained according to the interactive messages of the vehicle and the charging pile in the charging end stage. The reason can be classified as charging pile recognition reaching the end condition, human operation charging pile termination, charging pile fault termination, charging pile unknown reason termination, and vehicle end active termination. Among them, the charging pile recognition reaching the end condition is generally that the real-time battery parameters sent by the vehicle end are detected to reach the set maximum allowed parameters, which exceeds the set time, but is still in charging. From the perspective of battery safety, the charging pile actively terminates the charging. The human operation charging pile termination is generally that the user actively operates to stop the current charging, or clicks to end the charging on the APP end, or the current charging cost is used up, etc. The charging pile fault termination is that the charging pile itself has an anomaly and cannot charge again. The charging pile unknown reason termination is generally that no information is filled in the pile end end message, and the specific termination reason cannot be determined, but the process is a pile end active termination. The vehicle end active termination is generally that the vehicle end determines full charging or cannot continue charging.

[0055] Step e2, the termination reason score corresponding to the charging termination reason type is calculated respectively, and the termination reason score is adjusted according to the termination reason frequency.

[0056] Here, the termination reason score is set according to the influence degree of the charging termination reason type on the charging process. For example, the basic score of the charging pile fault termination may be low, and the basic score of the user active termination may be high. According to the termination reason frequency, the system can adjust the basic score. For example, if the termination reason frequency is high, the score is reduced; if the termination reason frequency is low, the score remains unchanged.

[0057] Step e3, the adjusted termination reason score is weighted and summed to obtain the evaluation index score of the charging termination reason data.

[0058] Here, by weighting and summing the adjusted suspension reason scores, the system can obtain a comprehensive charging suspension reason evaluation index score, which comprehensively reflects the suspension reason situation of the charging pile. This step ensures that the recommended result can avoid selecting charging piles with safety hazards or poor performance to the greatest extent.

[0059] Further, after the charging of the charging pile is completed, the user's scoring operation for this charging can also be responded to, and the comprehensive score of the charging is obtained in combination with the evaluation score of the user for each charging. This function further optimizes the charging pile recommendation method, and by introducing a user feedback mechanism, the system can make a more comprehensive evaluation of the charging pile according to the actual experience of the user, so as to better adapt to the charging needs of the user's vehicle.

[0060] The charging pile recommendation method provided by the embodiment of the application comprises: when a target vehicle triggers a charging recommendation request, obtaining historical charging process data of each candidate charging pile in a region where the target vehicle is located; based on the historical charging process data and a target charging demand of the target vehicle, calculating a comprehensive recommendation score of each candidate charging pile; the historical charging process data comprises charging capacity data, current response speed data, charging abnormal behavior data and charging suspension reason data of the charging pile; and determining a candidate charging pile with the highest comprehensive recommendation score among the candidate charging piles as a target charging pile that is most matched with the target charging demand of the target vehicle. In this way, by combining the historical charging process data of the charging pile with the charging demand of the target vehicle, the candidate charging pile is comprehensively evaluated and recommended, which can improve the matching degree of the recommended charging pile and the vehicle, and further improve the charging efficiency of the vehicle.

[0061] Based on the same application concept, the embodiment of the application also provides a charging pile recommendation device corresponding to the charging pile recommendation method provided by the above-mentioned embodiment. Since the principle of solving problems in the device of the embodiment of the application is similar to the charging pile recommendation method of the above-mentioned embodiment of the application, the implementation of the device can be referred to the implementation of the method, and the repeated parts will not be described here.

[0062] Please refer to Figure 2 , Figure 2 A functional module diagram of a charging pile recommendation device provided by the embodiment of the application is shown in FIG. 1. As shown in FIG. 1, the charging pile recommendation device 200 comprises: Figure 2 A data acquisition module 210, configured to, when a target vehicle triggers a charging recommendation request, acquire historical charging process data of each candidate charging pile in a region where the target vehicle is located.

[0063] ​The score calculation module 220 is configured to calculate a comprehensive recommendation score of each candidate charging pile based on the historical charging process data and the target charging demand of the target vehicle. The historical charging process data includes charging capacity data, current response speed data, charging abnormal behavior data, and charging termination reason data of the charging pile.

[0064] The charging pile recommendation module 230 is configured to determine a candidate charging pile with the highest comprehensive recommendation score among the candidate charging piles as a target charging pile that best matches the target charging demand of the target vehicle.

[0065] Further, when calculating the comprehensive recommendation score of each candidate charging pile based on the historical charging process data and the target charging demand of the target vehicle, the score calculation module 220 is specifically configured to: determine the evaluation index weight of each data in the historical charging process data according to the target charging demand of the target vehicle; calculate the evaluation index score of each data in the historical charging process data respectively; multiply the evaluation index score of each data by the corresponding evaluation index weight and then perform weighted summation to obtain the comprehensive recommendation score of each candidate charging pile.

[0066] Further, the score calculation module 220 is further configured to calculate the evaluation index score of the charging capacity data according to the following steps: obtain the maximum output current of the candidate charging pile and the actual output current of the candidate charging pile in the charging process; calculate the current ratio of the actual output current to the maximum output current; determine the evaluation index score of the charging capacity data according to the current ratio.

[0067] Further, the score calculation module 220 is further configured to calculate the evaluation index score of the current response speed data according to the following steps: determine the current rise time, current change time, and current fall time of the candidate charging pile based on the current change of the candidate charging pile in the charging process; calculate the response speed score corresponding to the current rise time, current change time, and current fall time respectively, and perform weighted summation on each response speed score to obtain the evaluation index score of the current response speed data.

[0068] Further, the score calculation module 220 is further configured to calculate the evaluation index score of the charging abnormal behavior data according to the following steps: determine a charging abnormal behavior type and an abnormal behavior occurrence frequency of the candidate charging pile based on the monitoring data of the candidate charging pile in the charging process; respectively calculate abnormal behavior scores corresponding to the charging abnormal behavior types, and adjust the abnormal behavior scores according to the abnormal behavior occurrence frequency; weight and sum the adjusted abnormal behavior scores to obtain an evaluation index score of the charging abnormal behavior data.

[0069] Further, the score calculation module 220 is further configured to calculate an evaluation index score of the charging termination reason data according to the following steps: determine a charging termination reason type and a termination reason occurrence frequency of the candidate charging pile based on the monitoring data of the candidate charging pile in the charging process; respectively calculate termination reason scores corresponding to the charging termination reason types, and adjust the termination reason scores according to the termination reason occurrence frequency; weight and sum the adjusted termination reason scores to obtain an evaluation index score of the charging termination reason data.

[0070] The charging pile recommendation device provided by the embodiment of the present application comprises: a data acquisition module configured to acquire historical charging process data of each candidate charging pile in a region where a target vehicle is located when the target vehicle triggers a charging recommendation request; a score calculation module configured to calculate a comprehensive recommendation score of each candidate charging pile based on the historical charging process data and a target charging demand of the target vehicle; the historical charging process data comprises charging capacity data, current response speed data, charging abnormal behavior data and charging termination reason data of the charging pile; and a charging pile recommendation module configured to determine a candidate charging pile with the highest comprehensive recommendation score among the candidate charging piles as a target charging pile that is most matched with the target charging demand of the target vehicle. In this way, the candidate charging pile is comprehensively evaluated and recommended by combining the historical charging process data of the charging pile with the charging demand of the target vehicle, which can improve the matching degree of the recommended charging pile and the vehicle, and further improve the charging efficiency of the vehicle.

[0071] Based on the same application concept, please refer to Figure 3 , Figure 3 A structural schematic diagram of a vehicle provided by the embodiment of the present application. As shown in the figure, Figure 3 The vehicle 300 comprises the charging pile recommendation device 200 provided by the above embodiment and adopts the charging pile recommendation method provided by the above embodiment to recommend the charging pile, and the repeated parts will not be described herein.

[0072] Based on the same application concept, please refer to Figure 4 , Figure 4 A structural schematic diagram of an electronic device provided by the embodiment of the present application. As shown in the figure,Figure 4 As shown in FIG. 4, the electronic device 400 includes a processor 410, a memory 420 and a bus 430.

[0073] The memory 420 stores machine readable instructions executable by the processor 410, and when the electronic device 400 is running, the processor 410 and the memory 420 communicate through the bus 430. When the machine readable instructions are executed by the processor 410, the steps of the method for recommending a charging pile are performed, and the specific implementation can be referred to the method embodiments, which will not be repeated here.

[0074] Based on the same application concept, the embodiments of the present application also provide a computer readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the method for recommending a charging pile provided by the above embodiments are performed, and the specific implementation can be referred to the method embodiments, which will not be repeated here.

[0075] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the above-described device and unit can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0076] In the embodiments provided by the present application, it should be understood that the disclosed device and method can be implemented by other ways. The device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there can be another division way in actual implementation, and for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between the units can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0077] The units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. According to actual needs, some or all of the units can be selected to achieve the purpose of the embodiments.

[0078] In addition, each functional unit in the embodiments provided by the present application can be integrated in one processing unit, or each unit can be a physically independent unit, or two or more units can be integrated in one unit.

[0079] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program code storage media.

[0080] It should be noted that similar reference numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. In addition, the terms "first", "second", "third" and the like are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0081] Finally, it should be noted that the above-described embodiments are only specific implementations of the present application, which are used to illustrate the technical solutions of the present application, but not to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily think of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed by the present application, or make equivalent replacements to some technical features. These modifications, changes or replacements do not cause the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application. They should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for recommending a charging pile, characterized in that: The method comprises: When a target vehicle triggers a charging recommendation request, the historical charging process data of each candidate charging pile in the area where the target vehicle is located is obtained; Calculating a comprehensive recommendation score for each candidate charging pile based on the historical charging process data and the target charging demand of the target vehicle; the historical charging process data includes charging capacity data, current response speed data, charging abnormality data, and charging suspension reason data of the charging pile; The candidate charging pile with the highest comprehensive recommendation score among the candidate charging piles is determined as the target charging pile that best matches the target charging demand of the target vehicle.

2. The charging pile recommendation method according to claim 1, characterized in that: The calculating, based on the historical charging process data and the target charging demand of the target vehicle, a comprehensive recommendation score for each candidate charging pile includes: Determining, based on the target charging demand of the target vehicle, an evaluation index weight for each data item in the historical charging process data; Calculating the evaluation index score of each item of the historical charging process data respectively; The evaluation index score of each data item is multiplied by the corresponding evaluation index weight and then weighted summed to obtain a comprehensive recommendation score for each candidate charging pile.

3. The charging pile recommendation method according to claim 2, characterized in that: Calculate the evaluation index score of the charging capability data according to the following steps: Obtaining the maximum output current of the candidate charging pile and the actual output current of the candidate charging pile during the charging process; Calculating a current ratio of the actual output current to the maximum output current; An evaluation index score of the charging capability data is determined according to the current ratio.

4. The charging pile recommendation method according to claim 2, characterized in that: Calculate the evaluation index score of the current response speed data according to the following steps: Determine the current rise time, current change time, and current fall time of the candidate charging pile based on the current change of the candidate charging pile during the charging process; The response speed scores corresponding to the current rise time, current change time, and current fall time are calculated respectively, and the response speed scores are weighted and summed to obtain the evaluation index score of the current response speed data.

5. The charging pile recommendation method according to claim 2, characterized in that: Calculate the evaluation index score of the abnormal charging behavior data according to the following steps: Determining the abnormal charging behavior type and the frequency of abnormal behavior of the candidate charging pile based on the monitoring data of the candidate charging pile during the charging process; Calculating abnormal behavior scores corresponding to the charging abnormal behavior types respectively, and adjusting the abnormal behavior scores according to the frequency of occurrence of the abnormal behaviors; The adjusted abnormal behavior scores are weighted and summed to obtain the evaluation index score of the abnormal charging behavior data.

6. The charging pile recommendation method according to claim 2, characterized in that: The evaluation index score of the charging suspension reason data is calculated according to the following steps: Determining the type of charging suspension reason and the frequency of occurrence of the suspension reason for the candidate charging pile based on monitoring data of the candidate charging pile during the charging process; Calculating the suspension reason scores corresponding to the types of suspension reasons for charging respectively, and adjusting the suspension reason scores according to the frequency of occurrence of the suspension reasons; The adjusted suspension reason scores are weighted and summed to obtain the evaluation index score of the charging suspension reason data.

7. A charging pile recommendation device, characterized in that: The recommended configuration of the charging pile includes: A data acquisition module is used to obtain historical charging process data of each candidate charging pile in the area where the target vehicle is located when the target vehicle triggers a charging recommendation request; a scoring calculation module, configured to calculate a comprehensive recommendation score for each candidate charging pile based on the historical charging process data and the target charging demand of the target vehicle; the historical charging process data including the charging capacity data, current response speed data, abnormal charging behavior data, and charging suspension reason data of the charging pile; The charging pile recommendation module is used to determine the candidate charging pile with the highest comprehensive recommendation score among the candidate charging piles as the target charging pile that best matches the target charging demand of the target vehicle.

8. A vehicle, characterized in that: A recommended device comprising the charging pile as claimed in claim 7.

9. An electronic device, characterized in that: include: A processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate via the bus. When the machine-readable instructions are run by the processor, the steps of the charging pile recommendation method as described in any one of claims 1 to 6 are executed.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the charging pile recommendation method according to any one of claims 1 to 6 are executed.

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