A Smart Recommendation Method and System for Shared Charging Stations
By collecting and analyzing charging fault and status information, calculating the charging pile cycle evaluation coefficient, and generating recommendation signals, the safety and reliability issues of shared charging piles are solved, and charging efficiency and safety are improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ANHUI POLYTECHNIC UNIV
- Filing Date
- 2023-07-05
- Publication Date
- 2026-05-26
Smart Images
Figure CN117076877B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of charging pile recommendation technology, and more specifically, to an intelligent recommendation method and system for shared charging piles. Background Technology
[0002] With the rapid development of the new energy vehicle market, the investment in shared charging piles is also increasing. After a period of use, especially since many shared charging piles are located in open-air environments, safety hazards may arise when charging new energy vehicles due to the passage of time and changes in the surrounding environment. When car owners drive their new energy vehicles to charging stations, they usually choose charging piles based on their subjective judgment, rather than considering the actual status of the charging piles (such as the charging status during the last charging and the historical charging status of the charging piles). This also makes it difficult for managers to safely manage the charging piles.
[0003] To address the aforementioned problems, a technical solution is provided. Summary of the Invention
[0004] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide an intelligent recommendation method and system for shared charging piles to solve the problems mentioned in the background art.
[0005] To achieve the above objectives, the present invention provides the following technical solution:
[0006] A smart recommendation method for shared charging stations includes the following steps:
[0007] Step S1: Collect charging fault information, calculate circuit fault assessment value based on charging fault information, set circuit fault assessment value critical threshold, generate charging prohibition signal when circuit fault assessment value is greater than circuit fault assessment value critical threshold, and issue a continue assessment signal when circuit fault assessment value is less than or equal to circuit fault assessment value critical threshold.
[0008] Step S2: After issuing the continued evaluation signal, collect charging status information and calculate the charging pile cycle evaluation coefficient based on the charging fault information and charging status information.
[0009] Step S3: Calculate the recommended evaluation value by combining historical information. By comparing the charging pile cycle evaluation coefficient with the critical threshold of the charging pile cycle evaluation coefficient and the recommended evaluation value with the recommended evaluation value threshold, different signals are generated for car owners to select charging piles.
[0010] In a preferred embodiment, in step S1, the charging fault information is reflected by the circuit fault evaluation value;
[0011] During a charging cycle, the number of faults in the charging control module is collected; the fault density within a charging cycle of the charging pile is calculated: the time difference between two adjacent fault occurrence points is calculated, a time difference threshold is set, and the number of times the time difference between two adjacent fault occurrence points is greater than the time difference threshold within a charging cycle of the charging pile is calculated. The fault density is the ratio of the number of times the time difference between two adjacent fault occurrence points is greater than the time difference threshold to a charging cycle of the charging pile.
[0012] The circuit fault assessment value is Gp = (gc * jm) / T 2 Where Gp is the circuit fault assessment value, gc is the number of faults, jm is the fault density, and T is one charging cycle of the charging pile.
[0013] In a preferred embodiment, a critical threshold for circuit fault assessment value is set, and the circuit fault assessment value of the charging pile for the most recent charging cycle is obtained. When the circuit fault assessment value is greater than the critical threshold, a charging prohibition signal is generated; when the circuit fault assessment value is less than or equal to the critical threshold, a continue assessment signal is issued.
[0014] In a preferred embodiment, in step S2, after issuing the continue evaluation signal, charging status information is collected, including charging efficiency, heat dissipation evaluation value, and voltage fluctuation rate.
[0015] The logic for obtaining the heat dissipation evaluation value is as follows:
[0016] Temperature Exceedance Ratio: Acquire all monitored temperature values within one charging cycle of the charging pile, where n is the number of monitored temperature values. Set an internal temperature threshold, and the temperature exceedance ratio is the ratio of the number of temperature values that exceed the internal temperature threshold to n.
[0017] Fan cooling ratio: When the temperature value is greater than the internal temperature threshold, the number of fans with a speed less than the preset speed is calculated. The fan cooling ratio is the ratio of the number of fans with a speed less than the preset speed to the number of temperature values greater than the internal temperature threshold.
[0018] The formula for calculating the heat dissipation assessment value is: Where Sp is the heat dissipation evaluation value, and fg is the number of fans with a speed lower than the preset speed.
[0019] In a preferred embodiment, the circuit fault assessment value, charging efficiency, heat dissipation assessment value, and voltage fluctuation rate are normalized to calculate the charging pile cycle assessment coefficient, the expression of which is:
[0020]
[0021] Where CZ is the charging pile cycle evaluation coefficient, cx is the charging efficiency, and dv is the voltage fluctuation rate; α1, α2, α3, and α4 are the preset proportional coefficients of circuit fault evaluation value, charging efficiency, heat dissipation evaluation value, and voltage fluctuation rate, respectively, and α1, α2, α3, and α4 are all greater than 0.
[0022] In a preferred embodiment, in step S3, a critical threshold for the charging pile cycle evaluation coefficient is set. When the charging pile cycle evaluation coefficient of the most recent charging pile is greater than the critical threshold for the charging pile cycle evaluation coefficient, a level one non-recommended signal is generated.
[0023] When the charging pile cycle evaluation coefficient is less than or equal to the critical threshold of the charging pile cycle evaluation coefficient, a recommended evaluation value is calculated; when the recommended evaluation value is greater than the recommended evaluation value threshold, a secondary non-recommended signal is generated; when the recommended evaluation value is less than or equal to the recommended evaluation value threshold, a recommended signal is generated.
[0024] For charging piles that generate recommendation signals, calculate the recommended evaluation value of charging piles that are not performing charging tasks at the charging station, and arrange the charging piles in ascending order according to the value of the recommended evaluation value.
[0025] In a preferred embodiment, the logic for obtaining the recommended evaluation value is as follows: obtain the charging pile cycle evaluation coefficient corresponding to the most recent k charging cycles, calculate the average value of the charging pile cycle evaluation coefficient of the k charging cycles, calculate the number of non-recommended signals generated in the k charging cycles, mark the number of non-recommended signals generated in the k charging cycles as u, and the recommended evaluation value is (pq*u) / k.
[0026] pq is the average value of the charging pile cycle evaluation coefficient over k charging cycles.
[0027] In a preferred embodiment, an intelligent recommendation system for shared charging piles includes a data processing module and an information collection module, a fault judgment module, and a recommendation generation module that are communicatively connected to the data processing module.
[0028] The information acquisition module collects charging fault information and sends it to the data processing module, which calculates the circuit fault assessment value.
[0029] The fault diagnosis module compares the circuit fault assessment value with a critical threshold value by setting a circuit fault assessment value: when the circuit fault assessment value is greater than the critical threshold value, a charging prohibition signal is generated; when the circuit fault assessment value is less than or equal to the critical threshold value, a continue assessment signal is issued.
[0030] After issuing a continued evaluation signal, the information acquisition module collects charging status information and sends the charging fault information and charging status information to the data processing module. The data processing module calculates the charging pile cycle evaluation coefficient.
[0031] The recommendation generation module calculates the recommendation evaluation value by combining historical information. It recommends charging piles by comparing the charging pile cycle evaluation coefficient with the critical threshold of the charging pile cycle evaluation coefficient and the recommendation evaluation value with the recommendation evaluation value threshold.
[0032] The technical effects and advantages of the intelligent recommendation method and system for shared charging piles of this invention are as follows:
[0033] 1. By analyzing the number and frequency of failures of the charging control module, the fault status of the charging pile within a charging cycle can be obtained. This allows for the prediction of the charging control module's lifespan and failure risk, enabling preventative maintenance. This helps reduce the failure rate, lower maintenance costs, and improve the reliability and availability of the charging pile.
[0034] 2. The charging pile cycle evaluation coefficient is calculated through normalization to evaluate the overall charging status of the charging pile within a charging cycle. Based on the charging pile cycle evaluation coefficient and the threshold setting of the recommended evaluation value, a first-level non-recommended signal, a second-level non-recommended signal, and a recommended signal can be generated. Under the recommended signal, the car owner can accurately select the best charging pile for charging according to the value of the recommended evaluation value. Attached Figure Description
[0035] Figure 1 This is a schematic diagram of an intelligent recommendation method for shared charging piles according to the present invention;
[0036] Figure 2 This is a schematic diagram of the structure of an intelligent recommendation system for shared charging piles according to the present invention. Detailed Implementation
[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0038] Example 1
[0039] Figure 1 This invention provides an intelligent recommendation method for shared charging stations, which includes the following steps:
[0040] Step S1: Collect charging fault information, calculate circuit fault assessment value based on charging fault information, set circuit fault assessment value critical threshold, generate charging prohibition signal when circuit fault assessment value is greater than circuit fault assessment value critical threshold, and issue a continue assessment signal when circuit fault assessment value is less than or equal to circuit fault assessment value critical threshold.
[0041] Step S2: After issuing the continued evaluation signal, collect charging status information and calculate the charging pile cycle evaluation coefficient based on the charging fault information and charging status information.
[0042] Step S3: Calculate the recommended evaluation value by combining historical information. By comparing the charging pile cycle evaluation coefficient with the critical threshold of the charging pile cycle evaluation coefficient and the recommended evaluation value with the recommended evaluation value threshold, different signals are generated for car owners to select charging piles.
[0043] In step S1, charging fault information is collected, and the charging fault information is reflected through circuit fault evaluation values.
[0044] Charging piles include a charging control module, which is the core component of the charging pile and is responsible for monitoring the charging process and controlling parameters such as current and voltage. Due to its complex electronic components and operating status, there are problems such as circuit faults, component damage, or circuit board aging, which may lead to damage or failure of the charging control module. Therefore, monitoring the charging control module for faults is very important.
[0045] The logic for obtaining the circuit fault assessment value is as follows: within one charging cycle of the charging pile, the number of faults of the charging control module is collected. The number of faults includes, but is not limited to, the number of communication failures, the number of data transmission anomalies, and the number of circuit faults of the charging control module. When the charging control module fails, a counter is used to record the number of faults.
[0046] Calculate the fault density within one charging cycle of the charging pile: Record the time point of each fault occurrence, calculate the time difference between any two adjacent fault occurrence times, and set a time difference threshold. When the time difference between any two adjacent fault occurrence times is greater than the time difference threshold, it indicates that the faults occur too frequently, and the adverse impact on the charging control module is greater. Calculate the number of times the time difference between any two adjacent fault occurrence times is greater than the time difference threshold within one charging cycle of the charging pile. The fault density is the ratio of the number of times the time difference between any two adjacent fault occurrence times is greater than the time difference threshold to one charging cycle of the charging pile.
[0047] The circuit fault assessment value is Gp = (gc * jm) / T 2Where Gp is the circuit fault assessment value, gc is the number of faults, jm is the fault density, and T is one charging cycle of the charging pile; the larger the circuit fault assessment value, the worse the safety and efficiency of the charging control module, that is, the worse the charging status of the charging pile.
[0048] One charging cycle of a charging station is the time from when a new energy vehicle starts charging to when it stops charging.
[0049] A critical threshold for circuit fault assessment is set, and the circuit fault assessment value of the charging pile for the most recent charging cycle is obtained. When the circuit fault assessment value is greater than the critical threshold, a charging prohibition signal is generated, prohibiting the next new energy vehicle from charging, and professional technicians are arranged to repair the charging pile. When the circuit fault assessment value is less than or equal to the critical threshold, a continue assessment signal is issued, allowing charging to continue. The charging status of the charging pile is then analyzed in conjunction with other information.
[0050] By analyzing the number and frequency of failures in the charging control module, we can obtain information about the charging pile's failure status within a charging cycle. This allows us to predict the lifespan and failure risk of the charging control module in advance, enabling preventative maintenance. This helps reduce the failure rate, lower maintenance costs, and improve the reliability and availability of the charging pile.
[0051] In step S2, after the signal to continue evaluation is issued, i.e. after charging can continue, charging status information is collected, including charging efficiency, heat dissipation evaluation value and voltage fluctuation rate.
[0052] By collecting and evaluating charging information, we can understand the status and performance of charging piles within a charging cycle in a timely manner. This helps to identify and resolve problems with charging piles promptly, improve charging efficiency, ensure safety, and provide a better experience for car owners.
[0053] The logic for obtaining charging efficiency is as follows:
[0054] The total electrical energy (usually expressed in kilowatt-hours or kilojoules) provided by the charging pile to the new energy vehicle during one charging cycle is obtained through the electricity metering device in the charging pile.
[0055] The electrical energy metering device in the new energy vehicle is used to obtain the actual electrical energy (usually expressed in kilowatt-hours or kilojoules) that the new energy vehicle receives during one charging cycle at the charging station.
[0056] The formula for calculating charging efficiency is: Charging efficiency = (Actual electrical energy charged into the vehicle / Total electrical energy provided to the new energy vehicle by the charging pile) × 100%.
[0057] The higher the charging efficiency, the better the charging status of the charging station, and the more it is worth recommending to car owners for priority use.
[0058] Charging stations generate a lot of heat during the charging process of new energy vehicles. Therefore, most charging stations are equipped with a cooling system, which includes, but is not limited to, a cooling fan. By monitoring the cooling fan, the cooling effect of the charging station during the charging process of new energy vehicles can be determined.
[0059] The logic for obtaining the heat dissipation evaluation value is as follows:
[0060] Temperature Exceedance Ratio: Based on the temperature sensor, the internal temperature of the charging pile is monitored, and all monitored temperature values are obtained within one charging cycle of the charging pile. n is the number of monitored temperature values. An internal temperature threshold is set, and the temperature exceedance ratio is the ratio of the number of temperature values that are greater than the internal temperature threshold to n.
[0061] The internal temperature threshold is set according to the actual situation. For example, 85% of the internal temperature at which the charging pile can operate safely can be used as the internal temperature threshold. n is a positive integer greater than 1, and n should be a large value, such as 1000.
[0062] Fan heat dissipation ratio: The fan speed is obtained by the speed sensor. When the temperature value is greater than the internal temperature threshold, the number of fans with a speed less than the preset speed is calculated. The fan heat dissipation ratio is the ratio of the number of fans with a speed less than the preset speed to the number of temperature values greater than the internal temperature threshold.
[0063] The preset speed is the minimum speed the fan should reach when the internal temperature of the charging pile is too high; its setting will not be elaborated further.
[0064] The heat dissipation assessment value is obtained by multiplying the temperature excess ratio and the fan cooling ratio, followed by mathematical processing. The formula for calculating the heat dissipation assessment value is as follows: Sp represents the heat dissipation assessment value, and fg represents the number of fans whose speed is less than the preset speed. The higher the heat dissipation assessment value, the worse the heat dissipation effect of the charging pile, which means the worse the charging status of the charging pile.
[0065] Voltage fluctuation rate is the ratio of the time the output voltage of a charging pile exceeds the safe voltage range to the total charging cycle. The greater the voltage fluctuation rate, the more unstable the output voltage of the charging pile, which means the charging status of the charging pile is worse. This not only damages the charging pile but also easily damages new energy vehicles and can lead to safety accidents.
[0066] The circuit fault assessment value, charging efficiency, heat dissipation assessment value, and voltage fluctuation rate are normalized to calculate the charging pile cycle assessment coefficient, which is expressed as follows:
[0067]
[0068] Where CZ is the charging pile cycle evaluation coefficient, cx is the charging efficiency, and dv is the voltage fluctuation rate; α1, α2, α3, and α4 are the preset proportional coefficients of circuit fault evaluation value, charging efficiency, heat dissipation evaluation value, and voltage fluctuation rate, respectively, and α1, α2, α3, and α4 are all greater than 0.
[0069] The charging pile cycle evaluation coefficient is used to judge the overall charging status of the charging pile within a charging cycle. The larger the charging pile cycle evaluation coefficient, the worse the charging status of the charging pile within a charging cycle.
[0070] In step S3, a critical threshold for the charging pile cycle evaluation coefficient is set. When the charging pile's most recent charging pile cycle evaluation coefficient is greater than the critical threshold, a level one non-recommended signal is generated. At this time, the charging pile's charging status was poor during the most recent charging process, and the car owner should prioritize charging piles whose most recent charging pile cycle evaluation coefficient is less than or equal to the critical threshold.
[0071] When the charging pile cycle evaluation coefficient is less than or equal to the critical threshold of the charging pile cycle evaluation coefficient, a recommended evaluation value is calculated; when the recommended evaluation value is greater than the recommended evaluation value threshold, a secondary non-recommended signal is generated; when the recommended evaluation value is less than or equal to the recommended evaluation value threshold, a recommended signal is generated.
[0072] For charging piles that generate recommendation signals, the recommendation evaluation value of charging piles that are not performing charging tasks at the charging station is calculated. Based on the value of the recommendation evaluation value, the charging piles are arranged in order from smallest to largest. The higher the ranking of the charging pile, the higher its recommendation level, and the car owner can give priority to choosing the charging pile.
[0073] The logic for obtaining the recommended evaluation value is as follows: Combine historical information to determine the charging status of the charging pile, obtain the charging pile cycle evaluation coefficient corresponding to the most recent k charging cycles, calculate the average value of the charging pile cycle evaluation coefficient of the k charging cycles, calculate the number of non-recommended signals generated in the k charging cycles, mark the number of non-recommended signals generated in the k charging cycles as u, and the recommended evaluation value is (pq*u) / k.
[0074] pq is the average value of the charging pile cycle evaluation coefficient over k charging cycles, where k is a positive integer greater than 1; the recommended evaluation value threshold is set based on the magnitude of the recommended evaluation value and the actual situation.
[0075] The Level 1 no-recommendation signal is stronger than the Level 2 no-recommendation signal.
[0076] By collecting and evaluating charging status information, it is possible to promptly identify and resolve charging pile issues, improve charging efficiency, ensure safety, and provide a better user experience. A charging pile cycle evaluation coefficient is calculated through normalization to assess the overall charging status of the charging pile within a charging cycle. Based on the charging pile cycle evaluation coefficient and the threshold setting of the recommended evaluation value, a first-level non-recommended signal, a second-level non-recommended signal, and a recommended signal can be generated. Under the recommended signal, the user can accurately select the best charging pile based on the magnitude of the recommended evaluation value.
[0077] Example 2
[0078] The difference between Embodiment 2 and Embodiment 1 is that this embodiment introduces an intelligent recommendation system for shared charging piles.
[0079] Figure 2 A schematic diagram of the structure of an intelligent recommendation system for shared charging piles according to the present invention is provided. The intelligent recommendation system for shared charging piles includes a data processing module and an information collection module, a fault judgment module, and a recommendation generation module that are communicatively connected to the data processing module.
[0080] The information acquisition module collects charging fault information and sends it to the data processing module, which then calculates the circuit fault assessment value.
[0081] The fault diagnosis module sets a critical threshold for circuit fault assessment and compares the circuit fault assessment value with the critical threshold: when the circuit fault assessment value is greater than the critical threshold, a charging prohibition signal is generated; when the circuit fault assessment value is less than or equal to the critical threshold, a continue assessment signal is issued.
[0082] After issuing a continued evaluation signal, the information acquisition module collects charging status information and sends the charging fault information and charging status information to the data processing module, which then calculates the charging pile cycle evaluation coefficient.
[0083] The recommendation generation module calculates the recommendation evaluation value by combining historical information. It recommends charging piles by comparing the charging pile cycle evaluation coefficient with the critical threshold of the charging pile cycle evaluation coefficient and the recommendation evaluation value with the recommendation evaluation value threshold.
[0084] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters and thresholds in the formulas are set by those skilled in the art according to the actual situation.
[0085] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.
[0086] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0087] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and modules described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0088] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.
[0089] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.
[0090] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.
[0091] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0092] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
[0093] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A smart recommendation method for shared charging stations, characterized in that, Includes the following steps: Step S1: Collect charging fault information, calculate circuit fault assessment value based on charging fault information, set circuit fault assessment value critical threshold, generate charging prohibition signal when circuit fault assessment value is greater than circuit fault assessment value critical threshold, and issue a continue assessment signal when circuit fault assessment value is less than or equal to circuit fault assessment value critical threshold. Step S2: After issuing the continued evaluation signal, collect charging status information and calculate the charging pile cycle evaluation coefficient based on the charging fault information and charging status information. Step S3: Calculate the recommended evaluation value by combining historical information. By comparing the charging pile cycle evaluation coefficient with the critical threshold of the charging pile cycle evaluation coefficient and the recommended evaluation value with the recommended evaluation value threshold, different signals are generated for car owners to select charging piles. In step S1, charging fault information is reflected through circuit fault evaluation values; During the charging cycle, the number of faults in the charging control module is collected; Calculate the fault density within one charging cycle of the charging pile: Calculate the time difference between any two adjacent fault occurrence times, set a time difference threshold, and calculate the number of times the time difference between any two adjacent fault occurrence times is greater than the time difference threshold within one charging cycle of the charging pile. The fault density is the ratio of the number of times the time difference between any two adjacent fault occurrence times is greater than the time difference threshold to one charging cycle of the charging pile. The circuit fault assessment value is Gp = gc * jm / T2; where Gp is the circuit fault assessment value, gc is the number of faults, jm is the fault density, and T is one charging cycle of the charging pile. In step S2, after issuing the continued evaluation signal, charging status information is collected, including charging efficiency, heat dissipation evaluation value, and voltage fluctuation rate. The logic for obtaining the heat dissipation evaluation value is as follows: Temperature Exceedance Ratio: Acquire all monitored temperature values within one charging cycle of the charging pile, where n is the number of monitored temperature values. Set an internal temperature threshold, and the temperature exceedance ratio is the ratio of the number of temperature values that exceed the internal temperature threshold to n. Fan cooling ratio: When the temperature value is greater than the internal temperature threshold, the number of fans with a speed less than the preset speed is calculated. The fan cooling ratio is the ratio of the number of fans with a speed less than the preset speed to the number of temperature values greater than the internal temperature threshold. The formula for calculating the heat dissipation assessment value is: ; Where Sp is the heat dissipation evaluation value, and fg is the number of fans with a speed lower than the preset speed; The circuit fault assessment value, charging efficiency, heat dissipation assessment value, and voltage fluctuation rate are normalized to calculate the charging pile cycle assessment coefficient, which is expressed as follows: ; Where CZ is the charging pile cycle evaluation coefficient, cx is the charging efficiency, and dv is the voltage fluctuation rate; α1, α2, α3, and α4 are the preset proportional coefficients of circuit fault evaluation value, charging efficiency, heat dissipation evaluation value, and voltage fluctuation rate, respectively, and α1, α2, α3, and α4 are all greater than 0.
2. The intelligent recommendation method for shared charging piles according to claim 1, characterized in that: Set a critical threshold for circuit fault assessment value, obtain the circuit fault assessment value of the charging pile for the most recent charging cycle, and generate a charging prohibition signal when the circuit fault assessment value is greater than the critical threshold; when the circuit fault assessment value is less than or equal to the critical threshold, issue a continue assessment signal.
3. The intelligent recommendation method for shared charging piles according to claim 1, characterized in that: In step S3, a critical threshold for the charging pile cycle evaluation coefficient is set. When the charging pile cycle evaluation coefficient of the most recent charging pile is greater than the critical threshold for the charging pile cycle evaluation coefficient, a level one non-recommended signal is generated. When the charging pile cycle evaluation coefficient is less than or equal to the critical threshold of the charging pile cycle evaluation coefficient, the recommended evaluation value is calculated. When the recommended rating value is greater than the recommended rating value threshold, a secondary non-recommendation signal is generated. A recommendation signal is generated when the recommendation evaluation value is less than or equal to the recommendation evaluation value threshold. For charging piles that generate recommendation signals, calculate the recommended evaluation value of charging piles that are not performing charging tasks at the charging station, and arrange the charging piles in ascending order according to the value of the recommended evaluation value.
4. The intelligent recommendation method for shared charging piles according to claim 3, characterized in that: The logic for obtaining the recommended evaluation value is as follows: obtain the charging pile cycle evaluation coefficient corresponding to the most recent k charging cycles, calculate the average value of the charging pile cycle evaluation coefficient of the k charging cycles, calculate the number of non-recommended signals generated in the k charging cycles, mark the number of non-recommended signals generated in the k charging cycles as u, and the recommended evaluation value is pq*u / k. pq is the average value of the charging pile cycle evaluation coefficient over k charging cycles.
5. An intelligent recommendation system for shared charging piles, used to implement the intelligent recommendation method for shared charging piles as described in any one of claims 1-4, characterized in that: It includes a data processing module, as well as an information acquisition module, a fault diagnosis module, and a recommendation generation module that communicate with the data processing module; The information acquisition module collects charging fault information and sends it to the data processing module, which calculates the circuit fault assessment value. The fault diagnosis module compares the circuit fault assessment value with a critical threshold value by setting a circuit fault assessment value: when the circuit fault assessment value is greater than the critical threshold value, a charging prohibition signal is generated; when the circuit fault assessment value is less than or equal to the critical threshold value, a continue assessment signal is issued. After issuing a continued evaluation signal, the information acquisition module collects charging status information and sends the charging fault information and charging status information to the data processing module. The data processing module calculates the charging pile cycle evaluation coefficient. The recommendation generation module calculates the recommendation evaluation value by combining historical information. It recommends charging piles by comparing the charging pile cycle evaluation coefficient with the critical threshold of the charging pile cycle evaluation coefficient and the recommendation evaluation value with the recommendation evaluation value threshold.