External mounting type charging pile verification system based on cloud platform

Abstract

The invention relates to the field of new energy vehicle charging, in particular to an externally-mounted charging pile verification system based on a cloud platform. Comprising a charging module, a data acquisition module, a cloud platform order processing module and a cloud platform information processing module, the charging module is used for charging a new energy vehicle, the data acquisition module is used for acquiring parameters of the charging module and the cloud platform order processing module, and the cloud platform order processing module is used for receiving a user order and sending the user order to the cloud platform information processing module. And the cloud platform information processing module is used for calculating a charging efficiency index and a charging quality index and adjusting the charging module according to the charging efficiency index. According to the scheme, support is provided for unattended verification and remote monitoring of the charger through combination of wireless communication and a big data analysis technology of the cloud platform, the performance of the charging pile is evaluated by collecting actual output electric energy of the charger and order information data of the cloud platform, and the field verification efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the field of new energy vehicle charging, and in particular to a cloud platform-based external charging pile calibration system. Background Art

[0002] In the past few years, with the popularity and growth of electric vehicles, the construction and management of charging infrastructure has become particularly important. Traditional charging pile systems mainly rely on local equipment and manual management, which has problems such as inconvenient management, low efficiency and cumbersome data processing. In order to solve these problems, cloud platform technology came into being. Cloud platform technology moves data storage, processing and management to cloud servers, providing a more efficient and intelligent management method for charging pile systems.

[0003] For example, the prior art CN117607785A discloses an in-cabinet online remote calibration system for a DC charging pile, comprising an online remote calibration module, a data center and a cloud service platform; the online remote calibration module is installed on the inspected charging pile, and is configured to collect the working data of the inspected charging pile and upload it to the data center; the online remote calibration module uploads the collected working data to the data center, and the data center is configured to back up the received working data; the cloud service platform receives the backed-up working data, and the cloud service platform is configured to verify the received backed-up working data and generate a verification result corresponding to the inspected charging pile, and the client sends a query request to the cloud service platform by scanning the QR code and obtains the corresponding verification result.

[0004] Another typical example is a remote intelligent metering quality monitoring system for electric vehicle charging equipment disclosed in the prior art CN113075484A, which belongs to the technical field of metering quality monitoring of electric vehicle charging piles, and includes remote intelligent metering quality monitoring equipment for charging equipment and a cloud platform. The remote intelligent metering quality monitoring equipment for charging equipment includes a sampling module, a sampling CPU and a DTU communication module. The sampling module collects the current and voltage of the charging equipment during the charging process and transmits them to the sampling CPU. The sampling CPU receives the collected current and voltage, integrates the current and voltage with electric energy, obtains the electric energy value, and transmits the electric energy value to the cloud platform through the DTU communication module. The cloud platform compares the electric energy value with the electric energy indication fed back by the charging equipment to obtain an error value, and judges the metering quality monitoring result of the charging equipment according to the error value.

[0005] Let's take a look at a charging pile cloud platform disclosed in the prior art such as CN105825282A. The present invention relates to the field of charging system technology, which includes a user end, an APP module, a terminal charging device and a data monitoring end; the user end is connected to the terminal charging device through the APP module, the terminal charging device is connected to the data monitoring end through GPRS, and the data monitoring end is connected to the user end through GPRS; the terminal charging device is provided with a WIFI module; the APP module is arranged in a mobile phone.

[0006] At present, the charging pile calibration system in the prior art only detects the charging electric energy, does not conduct further research on the charging efficiency, and does not timely adjust the charging pile according to the detection results. In order to solve the common problems in this field, the present invention is made. Summary of the invention

[0007] The purpose of the present invention is to propose a plug-in charging pile calibration system based on a cloud platform to address the current deficiencies.

[0008] In order to overcome the shortcomings of the prior art, the present invention adopts the following technical solutions:

[0009] The cloud platform-based plug-in charging pile calibration system includes a charging module, a data acquisition module, a cloud platform order processing module and a cloud platform information processing module. The charging module is used to charge new energy vehicles. The data acquisition module is used to collect various parameters of the charging module and the cloud platform order processing module. The cloud platform order processing module is used to receive user orders and generate corresponding charging instructions to the charging module according to the user orders. The cloud platform information processing module is used to calculate the charging efficiency index and the charging quality index according to the relevant information collected by the data acquisition module and adjust the charging module according to the charging efficiency index. The charging efficiency index and the charging quality index are used to evaluate the performance of the charging module.

[0010] Furthermore, the charging module is a charging pile, which includes a charging instruction analysis unit, a charging interface, a power supply and a protection unit. The charging instruction analysis unit is used to analyze the charging instructions sent by the cloud platform order processing module, and convert the charging instructions into corresponding charging parameters according to its internally set conversion rules and send them to the power supply. The power supply is used to charge the new energy vehicle according to the charging parameters, and the charging interface is used to transmit the electric energy generated by the power supply to the new energy vehicle. The protection unit is used to detect whether there is any abnormality in the internal circuit of the charging pile, and take corresponding protection actions in time when an abnormality occurs.

[0011] Furthermore, the data collection module includes an order information collection unit and a charging information collection unit. The charging information collection unit is used to collect various information generated by the charging module during the charging process, and the order information collection unit is used to collect relevant information of the orders received by the cloud platform order processing module.

[0012] Furthermore, the cloud platform order processing module includes a communication unit, a user authentication unit, an order receiving unit, a payment processing unit and an order processing unit. The communication unit is used to realize communication between the cloud platform order processing module and the user terminal, the user authentication unit is used to authenticate the user identity of the user terminal, the order receiving unit is used to receive orders through the communication unit, the payment processing unit is used to process the user's payment information through the communication unit, and the order processing unit is used to generate corresponding charging instructions according to the order received by the order receiving unit.

[0013] Furthermore, the cloud platform information processing module includes a data receiving module, a data storage module, a calculation module and an instruction generation module. The data receiving module is used to receive the data collected by the data acquisition module, the data storage module is used to save the data received by the data receiving module and the calculation results of the calculation module, the calculation module is used to calculate various efficiency indicators based on the data stored in the data storage module, and the instruction generation module is used to generate corresponding charging adjustment instructions based on the calculation results of the calculation module.

[0014] Furthermore, the workflow of the verification system includes the following steps:

[0015] S1, the cloud platform order processing module receives the order from the user and generates the corresponding charging instruction;

[0016] S2, the charging module charges the user's new energy vehicle according to the charging instruction;

[0017] S3, the data collection module collects various data of the charging module during the charging process and relevant information of the order processed by the cloud platform order processing module;

[0018] S4, the cloud platform information processing module calculates various efficiency indicators based on the information collected by the data collection module and evaluates the performance of the charging pile;

[0019] S5, the cloud platform information processing module determines whether it is necessary to generate a charging adjustment instruction based on the evaluation result. If not, the judgment ends. Otherwise, a charging adjustment instruction is generated and sent to the charging module. The charging module adjusts itself according to the charging adjustment instruction and returns to S4. The charging adjustment instruction includes the electric energy output per unit time of the power supply;

[0020] Furthermore, the cloud platform information processing module calculates various efficiency indicators and evaluates the performance of the charging pile including the following steps:

[0021] S41, performing noise reduction processing on the information collected by the data acquisition module;

[0022] S42, calculating a charging efficiency index and a charging quality index according to the data collected by the data collection module;

[0023] S43, comparing the charging efficiency index and the charging quality index with their corresponding set thresholds, and judging the performance of the charging pile based on the comparison results.

[0024] Furthermore, the cloud platform information processing module generates a charging adjustment instruction according to the evaluation result, including the following steps:

[0025] S51, obtaining the qualified status of the charging efficiency index and the charging quality index, and judging whether the charging quality index is qualified. If the charging quality index is qualified, executing S53, otherwise, executing S52;

[0026] S52, sending a task transfer signal to an idle charging pile, and sending a transfer request reminder signal to the user;

[0027] S53, judging whether the charging efficiency index is qualified, if the charging efficiency index is qualified, then ending the judgment, maintaining the original charging state and not generating a charging adjustment instruction, otherwise, executing S54;

[0028] S54, obtaining a corresponding adjustment value of the power supply of the charging module, generating a corresponding charging adjustment instruction according to the adjustment value and sending the instruction to the charging module.

[0029] The beneficial effects achieved by the present invention are: 1. Through the combination of wireless communication and cloud platform big data analysis technology, support is provided for unattended calibration and remote supervision of chargers. By collecting the actual output power of the charger and the cloud platform order information data, the performance of the charging pile is evaluated, which is conducive to improving the efficiency of on-site calibration.

[0030] 2. By setting charging efficiency indicators and charging quality indicators to evaluate charging efficiency and charging quality, it is helpful to quantify the performance of charging piles, improve the accuracy and precision of performance evaluation, and improve the operating efficiency and accuracy of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate the same parts.

[0032] Figure 1It is a schematic diagram of the structure of the present invention.

[0033] Figure 2 It is the work flow chart of the present invention.

[0034] Figure 3 This is a flow chart of calculating various efficiency indicators for the cloud platform information processing module of the present invention.

[0035] Figure 4 The present invention is a flow chart of the cloud platform information processing module generating charging adjustment instructions according to the evaluation results. DETAILED DESCRIPTION

[0036] The following is an explanation of the embodiments of the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted according to actual sizes. It is stated in advance. The following embodiments will further explain the relevant technical contents of the present invention in detail, but the disclosed contents are not intended to limit the scope of protection of the present invention.

[0037] Embodiment 1: According to Figure 1 , Figure 2 , Figure 3 and Figure 4 This embodiment provides a plug-in charging pile calibration system based on a cloud platform, characterized in that it includes a charging module, a data acquisition module, a cloud platform order processing module and a cloud platform information processing module, the charging module is used to charge new energy vehicles, the data acquisition module is used to collect various parameters of the charging module and the cloud platform order processing module, the cloud platform order processing module is used to receive user orders and generate corresponding charging instructions to the charging module according to the user orders, the cloud platform information processing module is used to calculate the charging efficiency index and the charging quality index according to the relevant information collected by the data acquisition module and adjust the charging module according to the charging efficiency index, and the charging efficiency index and the charging quality index are used to evaluate the performance of the charging module.

[0038] Furthermore, the charging module is a charging pile, which includes a charging instruction analysis unit, a charging interface, a power supply and a protection unit. The charging instruction analysis unit is used to analyze the charging instructions sent by the cloud platform order processing module, and convert the charging instructions into corresponding charging parameters according to its internally set conversion rules and send them to the power supply. The power supply is used to charge the new energy vehicle according to the charging parameters, and the charging interface is used to transmit the electric energy generated by the power supply to the new energy vehicle. The protection unit is used to detect whether the internal circuit of the charging pile has abnormal phenomena such as overcurrent, overvoltage and short circuit, and take corresponding protection actions in time when an abnormality occurs.

[0039] Specifically, the conversion rules are set by technical personnel in this field. The charging instruction usually includes information such as charging mode (such as fast charging, slow charging), charging type (such as constant current charging, constant voltage charging, constant current first and then constant voltage), charging power, charging time, etc. The corresponding charging current, charging voltage, charging time and other related charging parameters can be obtained through the charging instruction. For example, if the charging mode is fast charging mode and the charging parameters corresponding to the charging instruction require a maximum charging power of 60W, if the battery voltage is 3.7V, then the charging current I=60W / 3.7V≈16.22A.

[0040] Furthermore, the data collection module includes an order information collection unit and a charging information collection unit. The charging information collection unit is used to collect various information generated by the charging module during the charging process, and the order information collection unit is used to collect relevant information of the orders received by the cloud platform order processing module.

[0041] Specifically, the charging pile remote digital metering synchronous collection device may be TK4850A, and the data collection module transmits data with the cloud platform information processing module by wireless communication.

[0042] Furthermore, the cloud platform order processing module includes a communication unit, a user authentication unit, an order receiving unit, a payment processing unit and an order processing unit. The communication unit is used to realize communication between the cloud platform order processing module and the user terminal, the user authentication unit is used to authenticate the user identity of the user terminal, the order receiving unit is used to receive orders through the communication unit, the payment processing unit is used to process the user's payment information through the communication unit, and the order processing unit is used to generate corresponding charging instructions according to the order received by the order receiving unit.

[0043] Specifically, the order processing unit recognizes the order through a text recognition algorithm, thereby generating a corresponding charging instruction.

[0044] Furthermore, the cloud platform information processing module includes a data receiving module, a data storage module, a calculation module and an instruction generation module. The data receiving module is used to receive the data collected by the data acquisition module, the data storage module is used to save the data received by the data receiving module and the calculation results of the calculation module, the calculation module is used to calculate various efficiency indicators based on the data stored in the data storage module, and the instruction generation module is used to generate corresponding charging adjustment instructions based on the calculation results of the calculation module.

[0045] Specifically, the charging adjustment instruction is used to adjust the charging module.

[0046] Furthermore, the workflow of the verification system includes the following steps:

[0047] S1, the cloud platform order processing module receives the order from the user and generates the corresponding charging instruction;

[0048] S2, the charging module charges the user's new energy vehicle according to the charging instruction;

[0049] S3, the data collection module collects various data of the charging module during the charging process and relevant information of the order processed by the cloud platform order processing module;

[0050] S4, the cloud platform information processing module calculates various efficiency indicators based on the information collected by the data collection module and evaluates the performance of the charging pile;

[0051] S5, the cloud platform information processing module determines whether it is necessary to generate a charging adjustment instruction based on the evaluation results. If not, the process ends. Otherwise, a charging adjustment instruction is generated and sent to the charging module, and the charging module adjusts itself according to the charging adjustment instruction.

[0052] Furthermore, the cloud platform information processing module calculates various efficiency indicators and evaluates the performance of the charging pile including the following steps:

[0053] S41, performing noise reduction processing on the information collected by the data acquisition module;

[0054] S42, calculating a charging efficiency index and a charging quality index according to the data collected by the data collection module;

[0055] The charging efficiency index can be calculated according to the following formula:

[0056] XLZB=0.5*NHXL+0.5*DDXL

[0057]

[0058] Among them, XLZB is the charging efficiency index, which is used to characterize the charging efficiency of the charging pile. The larger the charging efficiency index is, the higher the charging efficiency of the charging pile is. NHXL is the energy consumption efficiency index, which is used to characterize the energy conversion efficiency of the charging pile. The larger the index is, the higher the energy conversion efficiency is. A is the number of cycles for data collection, and E is the number of cycles for data collection. a is the total electric energy output by the charging pile in the ath cycle, E 耗 is the total energy consumed by the charging pile from the start to the end of data collection. DDXL is the order efficiency index, which is used to characterize the order completion efficiency of the charging pile. The larger the index is, the higher the order completion efficiency is. T is the cycle length of each cycle of data collection. TIME is the estimated charging time. E 总 An estimate of the required charging power;

[0059] Concrete, E 总 The estimated charging time can be obtained through the BMS of the electric vehicle. 总 Divide by the charging power corresponding to the order;

[0060] The charging quality index can be calculated according to the following formula:

[0061]

[0062] Among them, ZLZB is a charging quality index, which is used to characterize the charging quality of the charging pile. The larger the charging quality index, the better the charging quality. a is the secondary quality index of the charging pile in the ath cycle; t a2 is the end time of the ath cycle, t a1 is the starting time of the ath cycle, I a (t) is the ideal current output amplitude of the charging pile in the ath cycle, i a (t) is the actual current output amplitude of the charging pile in the ath cycle, U a (t) is the ideal voltage output amplitude of the charging pile in the ath cycle, u a (t) is the actual current output amplitude of the charging pile in the ath cycle;

[0063] The ideal current output and the ideal voltage output can be obtained by detecting the internal circuit of the charging pile at the output position of the power supply, and the actual current output and the actual voltage output can be obtained by collecting the charging pile remote digital metering synchronous collection device;

[0064] S43, comparing the charging efficiency index and the charging quality index with their corresponding set thresholds, and judging the performance of the charging pile based on the comparison results.

[0065] Specifically, the set threshold is set by technical personnel in this field according to the minimum acceptable charging quality index and the minimum charging efficiency index. When the charging efficiency index is less than the corresponding set threshold, the charging efficiency index is considered to be unqualified; when the charging quality index is less than the corresponding set threshold, the charging quality index is considered to be unqualified.

[0066] Furthermore, the cloud platform information processing module determines whether it is necessary to generate a charging adjustment instruction according to the evaluation result, including the following steps:

[0067] S51, obtaining the qualified status of the charging efficiency index and the charging quality index, and judging whether the charging quality index is qualified. If the charging quality index is qualified, executing S53, otherwise, executing S52;

[0068] S52, sending a task transfer signal to an idle charging pile, and sending a transfer request reminder signal to the user;

[0069] Specifically, the task transfer signal includes the relevant information of the current charging and the completion status of the charging task. After receiving the transfer reminder signal, the user can choose to complete the remaining charging task at the current charging pile or go to a designated idle charging pile to complete the remaining charging task;

[0070] S53, judging whether the charging efficiency index is qualified, if the charging efficiency index is qualified, then ending the judgment, maintaining the original charging state and not generating a charging adjustment instruction, otherwise, executing S54;

[0071] S54, obtaining a corresponding adjustment value of the power supply of the charging module, generating a corresponding charging adjustment instruction according to the adjustment value and sending the instruction to the charging module.

[0072] Specifically, the corresponding adjustment value of the power supply can be obtained by the following formula:

[0073]

[0074] Among them, ΔE is the adjustment value of the electric energy output by the power supply per unit time, and XLZBY is the set threshold corresponding to the charging efficiency indicator.

[0075] The beneficial effects of this solution are: 1. Through the combination of wireless communication and cloud platform big data analysis technology, it provides support for unattended calibration and remote supervision of chargers. By collecting the actual output power of the charger and the order information data of the cloud platform, the performance of the charging pile is evaluated, which is conducive to improving the efficiency of on-site calibration.

[0076] 2. By setting charging efficiency indicators and charging quality indicators to evaluate charging efficiency and charging quality, it is helpful to quantify the performance of charging piles, improve the accuracy and precision of performance evaluation, and improve the operating efficiency and accuracy of the system.

[0077] Embodiment 2: This embodiment should be understood to include all the features of any of the above embodiments, and further improves on the basis thereof, and also includes a method for obtaining a charging pile power adjustment value, including the following steps:

[0078] STEP1, set the power adjustment cycle Z;

[0079] Specifically, the duration of the power adjustment cycle is an integer multiple of T, and the start time of the power adjustment cycle is the same as the start time of the data collection cycle;

[0080] STEP2, obtain the adjustment value of the electric energy output per unit time of the power supply according to the following formula;

[0081]

[0082] Where, ΔE i is the adjustment value of the electric energy output per unit time of the power supply for the i-th time, that is, the adjusted electric energy output rate; XLZB i-1 k is the charging efficiency index calculated using the data from the time the power source is adjusted for the i-1th time to the time the power source is adjusted for the i-th time, i is the adjustment weight for the power supply for the ith time, EOUT i-1 EOUT is the actual power output rate of the charging pile from the time the power supply is adjusted for the i-1th time to the time the power supply is adjusted for the i-th time. The value range of i is [1, I], where I is the total number of times the power supply outputs power adjustment values ​​per unit time. When the charging efficiency index is greater than the corresponding threshold, the power adjustment is stopped. When i is 1, EOUT i-1 The actual power output rate of the charging pile before adjusting the power supply. The power output rate is the power output per unit time of the power supply.

[0083] STEP3, obtain k according to the following formula i The value of .

[0084] When i ≥ 3:

[0085]

[0086] When i<3:

[0087] k i =0

[0088] The beneficial effects of this embodiment are as follows: by referring to the degree of change in the charging efficiency index after the power supply is adjusted in the past, the adjustment value when the power supply is adjusted this time is calculated, which is conducive to making targeted adjustments in the current adjustment according to the past adjustment effects, and is conducive to improving the adjustment efficiency.

[0089] The above disclosed contents are only preferred feasible embodiments of the present invention, and do not limit the protection scope of the present invention. Therefore, all equivalent technical changes made by using the contents of the present invention specification and drawings are included in the protection scope of the present invention. In addition, the elements therein can be updated with the development of technology. The above units are only examples. Those skilled in the art can use corresponding units according to different designs according to actual needs when implementing this solution.

Claims

1. The cloud platform-based plug-in charging pile calibration system is characterized by: It includes a charging module, a data acquisition module, a cloud platform order processing module and a cloud platform information processing module. The charging module is used to charge new energy vehicles. The data acquisition module is used to collect various parameters of the charging module and the cloud platform order processing module. The cloud platform order processing module is used to receive user orders and generate corresponding charging instructions to the charging module according to the user orders. The cloud platform information processing module is used to calculate the charging efficiency index and the charging quality index according to the relevant information collected by the data acquisition module, and adjust the charging module according to the charging efficiency index. The charging efficiency index and the charging quality index are used to evaluate the performance of the charging module.

2. The cloud platform-based external charging pile calibration system according to claim 1 is characterized in that: The charging module is a charging pile, which includes a charging instruction analysis unit, a charging interface, a power supply and a protection unit. The charging instruction analysis unit is used to analyze the charging instructions sent by the cloud platform order processing module, and convert the charging instructions into corresponding charging parameters according to its internally set conversion rules and send them to the power supply. The power supply is used to charge the new energy vehicle according to the charging parameters, and the charging interface is used to transmit the electric energy generated by the power supply to the new energy vehicle. The protection unit is used to detect whether there is any abnormality in the internal circuit of the charging pile, and take corresponding protection actions in time when an abnormality occurs.

3. The cloud platform-based external charging pile verification system according to claim 2 is characterized in that: The data collection module includes an order information collection unit and a charging information collection unit. The charging information collection unit is used to collect various information generated by the charging module during the charging process, and the order information collection unit is used to collect relevant information of the order received by the cloud platform order processing module.

4. The cloud platform-based external charging pile verification system according to claim 3 is characterized in that: The cloud platform order processing module includes a communication unit, a user authentication unit, an order receiving unit, a payment processing unit and an order processing unit. The communication unit is used to realize communication between the cloud platform order processing module and the user terminal, the user authentication unit is used to authenticate the user identity of the user terminal, the order receiving unit is used to receive orders through the communication unit, the payment processing unit is used to process the user's payment information through the communication unit, and the order processing unit is used to generate corresponding charging instructions according to the order received by the order receiving unit.

5. The cloud platform-based external charging pile verification system according to claim 4 is characterized in that: The cloud platform information processing module includes a data receiving module, a data storage module, a calculation module and an instruction generation module. The data receiving module is used to receive the data collected by the data collection module. The data storage module is used to save the data received by the data receiving module and the calculation results of the calculation module. The calculation module is used to calculate various efficiency indicators based on the data stored in the data storage module. The instruction generation module is used to generate corresponding charging adjustment instructions based on the calculation results of the calculation module and send them to the charging module.

6. The cloud platform-based external charging pile verification system according to claim 5 is characterized in that: The workflow of the verification system includes the following steps: S1, the cloud platform order processing module receives an order from a user terminal and generates a corresponding charging instruction; S2, the charging module charges the user's new energy vehicle according to the charging instruction; S3, the data collection module collects various data of the charging module during the charging process and relevant information of the order processed by the cloud platform order processing module; S4, the cloud platform information processing module calculates various efficiency indicators based on various information collected by the data collection module and evaluates the performance of the charging pile; S5, the cloud platform information processing module determines whether it is necessary to generate a charging adjustment instruction based on the evaluation result. If not, the determination is terminated. Otherwise, a charging adjustment instruction is generated and sent to the charging module. The charging module adjusts itself according to the charging adjustment instruction and returns to S4.

7. The cloud platform-based external charging pile verification system according to claim 6 is characterized in that: The cloud platform information processing module calculates various efficiency indicators and evaluates the performance of the charging pile, including the following steps: S41, performing noise reduction processing on the information collected by the data acquisition module; S42, calculating a charging efficiency index and a charging quality index according to the data collected by the data collection module; S43, comparing the charging efficiency index with the charging quality index and their corresponding set thresholds, and judging the performance of the charging pile according to the comparison result.

8. The cloud platform-based external charging pile verification system according to claim 7 is characterized in that: The cloud platform information processing module generates a charging adjustment instruction according to the evaluation result, including the following steps: S51, obtaining the qualified status of the charging efficiency index and the charging quality index, and judging whether the charging quality index is qualified, if the charging quality index is qualified, executing S53, otherwise, executing S52; S52, sending a task transfer signal to an idle charging pile, and sending a transfer request reminder signal to the user; S53, judging whether the charging efficiency index is qualified, if the charging efficiency index is qualified, then ending the judgment, maintaining the original charging state and not generating a charging adjustment instruction, otherwise, executing S54; S54, obtaining a corresponding adjustment value of the power supply of the charging module, generating a corresponding charging adjustment instruction according to the adjustment value, and sending the instruction to the charging module.

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