Charging pile data analysis and control method based on cloud platform and edge orderly charging energy control unit

Abstract

The present application discloses a charging pile data analysis and control method, device, equipment, storage medium and program product based on a cloud platform and an edge ordered charging energy control unit, which relates to the field of edge computing technology. The method includes: obtaining basic information of the charging site; determining the charging pile operation strategy in the charging site based on the basic information; sending the charging pile operation strategy to the electronic control unit of the charging site, and the electronic control unit runs the charging pile operation strategy to obtain the strategy operation result. Since the collection of basic information in the charging site is achieved by adding an electronic control unit to the charging site as the control center at the edge of the network, the problem of charging pile data analysis and unified control can be solved without modifying the charging pile equipment; the execution of charging pile operation measurement by the electronic control unit realizes the integration of the algorithm into the control center at the edge of the network, so that the charging pile can quickly respond to changes in the power grid and user needs.

Description

Technical Field

[0001] The present application relates to the field of edge computing technology, and in particular to a charging pile data analysis and control method, device, equipment, storage medium and program product based on a cloud platform and an edge ordered charging energy control unit. Background Art

[0002] As the number of electric vehicles grows, disorderly charging is having a significant negative impact on the power system. Therefore, it is necessary to implement an orderly charging strategy, guide and coordinate electric vehicle charging based on economic principles, and reduce the impact on the power grid.

[0003] However, charging pile equipment comes in various brands and models and is widely distributed, which poses challenges to the unified management and operation and maintenance of charging piles. Summary of the Invention

[0004] The main purpose of this application is to provide a charging pile data analysis and control method, device, equipment, storage medium and program product based on a cloud platform and an edge ordered charging energy control unit, aiming to solve the technical problems of difficult unified management and operation and maintenance of charging piles due to the complexity and diversity of charging pile brands and models.

[0005] To achieve the above objectives, the present application proposes a charging pile data analysis and control method based on a cloud platform and an edge-ordered charging energy control unit. The charging pile data analysis and control method based on a cloud platform and an edge-ordered charging energy control unit includes:

[0006] Get basic information about charging stations;

[0007] Determining a charging pile operation strategy in the charging station based on the basic information of the charging station;

[0008] The charging pile operation strategy is sent to the electronic control unit of the charging site, and the electronic control unit executes the charging pile operation strategy to obtain a strategy operation result.

[0009] In one embodiment, the step of executing the charging pile operation strategy to obtain a strategy operation result includes:

[0010] Determining a policy-limited capacity of the charging site based on the charging pile operation strategy;

[0011] When the actual site power of the charging site is not greater than the policy-limited capacity, determining whether the actual site power is less than a power distribution threshold, the power distribution threshold including a first power distribution threshold and a second power distribution threshold, the first power distribution threshold being determined based on the policy-limited capacity, the second power reduction gear, and the control dead zone gear, and the second power distribution threshold being determined based on the policy-limited capacity, the first power reduction gear, and the control dead zone gear;

[0012] If the actual power of the station is not less than the power distribution threshold, determining whether the maximum output current percentage of the charging pile in the charging station is within a preset range;

[0013] If the percentage of the maximum output current of the charging pile in the charging station is within a preset range, the charging output power level of the charging pile in the charging station is set to a preset charging power level;

[0014] The charging output power gear is used as the strategy operation result.

[0015] In one embodiment, after the step of determining the policy-limited capacity of the charging site based on the charging pile operation strategy, the method further includes:

[0016] When the actual power of the charging station is greater than the policy limit capacity, determining whether the maximum output current percentage of the charging pile in the charging station is greater than the power reduction gear;

[0017] If the percentage of the maximum output current of the charging pile is greater than the power reduction gear, the charging output power gear of the charging pile in the charging station is set to the power reduction gear;

[0018] Execute the step of using the charging output power gear as a strategy operation result.

[0019] In one embodiment, the power reduction gear includes a first power reduction gear and a second power reduction gear, and the step of determining whether the percentage of the maximum output current of the charging pile in the charging station is greater than the power reduction gear includes:

[0020] Determining whether the maximum output current percentage of the charging pile in the charging station is greater than the first power reduction gear;

[0021] and, determining whether the percentage of the maximum output current of the charging pile in the charging station is greater than the second power reduction gear;

[0022] Correspondingly, if the percentage of the maximum output current of the charging pile is greater than the power reduction gear, the step of setting the charging output power gear of the charging pile in the charging station to the power reduction gear includes:

[0023] When the percentage of the maximum output current of the charging pile is greater than the first power reduction gear, the charging output power gear of the charging pile in the charging station is set to the first power reduction gear;

[0024] And, when the percentage of the maximum output current of the charging pile is not greater than the first power reduction gear and greater than the second power reduction gear, the charging output power gear of the charging pile in the charging station is set to the second power gear.

[0025] In one embodiment, the step of determining whether the actual power of the site is less than the power distribution threshold includes:

[0026] Determining whether the actual power of the site is less than a first power distribution threshold;

[0027] Accordingly, if the actual power of the site is not less than the power distribution threshold, the step of determining whether the percentage of the maximum output current of the charging pile in the charging site is within a preset range includes:

[0028] If the actual power of the site is not less than the first power distribution threshold, determining whether the actual power of the site is less than the second power distribution threshold;

[0029] If the actual power of the site is less than the second power distribution threshold, it is determined whether the maximum output current percentage of the charging pile in the charging site is within a preset range.

[0030] In one embodiment, after the step of determining whether the actual power of the site is less than the first power distribution threshold, the method further includes:

[0031] If the actual power of the site is less than the first power distribution threshold, determining whether the percentage of the maximum output current of the charging pile is not greater than the second power reduction gear;

[0032] If the percentage of the maximum output current of the charging pile is not greater than the second power reduction gear, setting the charging output power gear of the charging pile in the charging station to the first power reduction gear;

[0033] If the percentage of the maximum output current of the charging pile is greater than the second power reduction gear, performing the step of determining the charging output power gear of the charging pile in the charging station based on the percentage of the maximum output current of the charging pile;

[0034] Executing the step of using the charging output power gear as a strategy operation result;

[0035] The step of determining the charging output power level of the charging pile in the charging station based on the percentage of the maximum output current of the charging pile includes:

[0036] When the percentage of the maximum output current of the charging pile is less than the preset charging power level, setting the charging output power level of the charging pile in the charging station to the preset charging level;

[0037] When the percentage of the maximum output current of the charging pile is not less than the preset charging power level, the charging output power level of the charging pile in the charging station is not changed.

[0038] In addition, to achieve the above objectives, the present application also proposes a charging pile data parsing and control device based on a cloud platform and an edge ordered charging energy control unit, the charging pile data parsing and control device based on a cloud platform and an edge ordered charging energy control unit comprising:

[0039] Data acquisition module, used to obtain basic information of charging stations;

[0040] A strategy formulation module, configured to determine a charging pile operation strategy in the charging site based on basic information of the charging site;

[0041] The data sending module is used to send the charging pile operation strategy to the electronic control unit of the charging site, and the electronic control unit runs the charging pile operation strategy to obtain a strategy operation result.

[0042] In addition, to achieve the above-mentioned purpose, the present application also proposes a charging pile data analysis and control device based on a cloud platform and an edge-ordered charging energy control unit. The device includes: a memory, a processor, and a computer program stored on the memory and runnable on the processor. The computer program is configured to implement the steps of the charging pile data analysis and control method based on a cloud platform and an edge-ordered charging energy control unit as described above.

[0043] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit as described above are implemented.

[0044] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit as described above.

[0045] One or more technical solutions proposed in this application have at least the following technical effects:

[0046] This application obtains basic information about the charging station; determines the charging pile operation strategy at the charging station based on the basic information of the charging station; and sends the charging pile operation strategy to the electronic control unit at the charging station, which then runs the charging pile operation strategy to obtain the strategy operation result. Because the collection of basic information at the charging station is achieved by adding an electronic control unit to the charging station as the control center at the edge of the network, the problem of charging pile data analysis and unified management and control can be solved without modifying the charging pile equipment; the execution of charging pile operation measurement by the electronic control unit realizes the integration of the algorithm into the control center at the edge of the network, allowing the charging pile to quickly respond to changes in the power grid and user needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0049] Figure 1 A flow chart of the first embodiment of the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit of this application is provided;

[0050] Figure 2 This is a functional module diagram of a charging pile data analysis and control system based on a cloud platform and an edge ordered charging energy control unit in one implementation of the present application;

[0051] Figure 3 A flow chart of the second embodiment of the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit of this application is provided;

[0052] Figure 4 This is a flowchart of an implementation method of the second embodiment of the present application;

[0053] Figure 5 A flow chart of the third embodiment of the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit of this application is provided;

[0054] Figure 6 This is a flowchart of an implementation method of the third embodiment of the present application;

[0055] Figure 7This is a schematic diagram of the module structure of a charging pile data parsing and control device based on a cloud platform and an edge ordered charging energy control unit according to an embodiment of the present application;

[0056] Figure 8 This is a schematic diagram of the device structure of the hardware operating environment involved in the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit in the embodiment of the present application.

[0057] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0058] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0059] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0060] The main solution of the embodiment of the present application is: obtaining basic information of the charging site; determining the charging pile operation strategy in the charging site based on the basic information of the charging site; sending the charging pile operation strategy to the electronic control unit of the charging site, and executing the charging pile operation strategy through the electronic control unit to obtain the strategy operation result.

[0061] Currently, many existing charging stations have charging power exceeding their capacity. Furthermore, edge hardware devices, when performing edge control, do not support orderly charging control of charging stations and lack targeted control strategies for charging stations.

[0062] The present application provides a solution, which determines the operation strategy of the charging piles in the charging site based on the basic information of the charging site, and sends the charging pile strategy to the electronic control unit of the charging site to achieve the regulation of the charging piles. Through the solution of the present application, there is no need to modify the charging piles. Through edge computing technology, the data is processed at the edge of the network, which reduces the delay in data transmission to the cloud and improves the speed at which the charging piles respond to user needs. This method uses the computing power of the edge nodes to parse and process the charging pile data in real time, so that the charging piles can quickly respond to changes in the power grid and user needs. At the same time, the energy distribution of the charging piles is optimized through the edge orderly charging algorithm, which reduces the load on the power grid and improves the efficiency of the charging piles. Edge computing reduces dependence on the central cloud and reduces the risk of service interruption due to network problems by processing data locally.

[0063] Based on this, the embodiment of the present application provides a charging pile data analysis and control method based on a cloud platform and an edge ordered charging energy control unit, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit of this application.

[0064] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program execution functions, such as a computer, server, cloud platform, etc., or an electronic device, virtual device, etc. that can realize the above functions. The following uses the charging pile data analysis and control device (hereinafter referred to as the control device) based on the cloud platform and the edge orderly charging energy control unit as an example to illustrate this embodiment and the following embodiments.

[0065] In this embodiment, the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit includes steps S10 to S40:

[0066] Step S10: Obtain basic information of the charging station.

[0067] It is understood that charging stations are areas that can provide charging capabilities for electric vehicles. As a key link in the electric vehicle industry chain, charging stations can provide the electricity required by electric vehicles to ensure their normal operation. Therefore, the construction and development of charging stations are of great significance.

[0068] It should be understood that the basic information of the charging site may include: the charging site address, the charging site capacity, the number of charging piles in the charging site, the charging pile number corresponding to each charging pile in the charging site, the charging pile type of each charging pile in the charging site, the rated power and maximum adjustable power of each charging pile in the charging site, the topology of the charging site, etc., and the embodiments of the present application are not limited to this.

[0069] It should be noted that the information of charging stations can be used to realize edge transformation of charging stations, which helps to realize accurate planning of charging piles in charging stations and improve resource utilization efficiency.

[0070] In an embodiment of the present application, before executing the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit of the present application, the charging site can be modified first.

[0071] Specifically, this application can obtain basic information about charging stations, and by installing control devices and monitoring equipment such as electronic control units and smart meters at charging stations, it can realize the collection of power load curves at charging stations and various charging data in each charging pile.

[0072] It is understandable that the collected charging data can be used as part of the basic information of the charging site. Based on this basic information of the charging site, the operation strategy of each charging pile and energy storage device in the charging site can be planned.

[0073] In some implementations of the embodiments of the present application, the method of the embodiments of the present application further includes:

[0074] Step S20: determining a charging pile operation strategy in the charging site based on the basic information of the charging site.

[0075] It should be noted that the charging pile operation strategy can be a control strategy designed to ensure efficient, safe, and reliable operation of the charging piles. By controlling the operation of the charging piles at a charging station through the charging pile operation strategy, it is possible to control the operation of each charging pile at the charging station, thereby achieving orderly charging regulation.

[0076] It can be understood that orderly charging regulation can be a technology that optimizes grid load and improves charging efficiency by intelligently controlling charging time and power. Specifically, orderly charging regulation can dynamically adjust the output power and charging sequence of charging piles based on the grid load, electricity price fluctuations, and user charging needs.

[0077] In some embodiments of the present application, in order to achieve effective control of the charging pile, the present application also proposes a charging pile data analysis and control system based on a cloud platform and an edge ordered charging energy control unit. Figure 2 As shown, Figure 2 This is a functional module diagram of a charging pile data analysis and control system based on a cloud platform and an edge ordered charging energy control unit in one implementation of the present application.

[0078] like Figure 2 As shown, the system may include a charging north terminal and several charging sites, and each charging site may include a charging south terminal and an intelligent orderly charging device.

[0079] In an embodiment of the present application, the north charging terminal may include equipment or platforms for monitoring and processing power data, such as an energy management platform (Energy Management System, EMS), a charging pile management platform, etc., which is not limited in this embodiment of the present application.

[0080] In some implementations of the present application, charging north-end devices such as the energy management charging pile management platform can be integrated into a single device to achieve centralized data processing. This device integrating the functions of multiple devices is also the charging pile data analysis and control device based on the cloud platform and edge-ordered charging energy control unit described in the embodiments of the present application.

[0081] In some implementations of the embodiments of the present application, the energy management platform in the embodiments of the present application can realize functions such as load forecasting, peak shaving and valley filling, and demand management, which are not limited by the embodiments of the present application.

[0082] In some implementations of the embodiments of the present application, the charging pile management platform of the embodiments of the present application can realize functions such as charging order management, peak electricity price monitoring and prediction, etc.

[0083] In some implementations of the embodiments of the present application, the intelligent orderly charging device of the embodiments of the present application can serve as an electronic control unit (ECU) at the edge of the network to monitor and manage each south-end device in the charging station.

[0084] In some implementations of the embodiments of the present application, the charging south end of the embodiments of the present application may include equipment for energy conversion, electric energy storage, output and monitoring, such as distributed photovoltaic equipment, energy storage equipment, DC charging piles, AC charging piles, smart meters, etc., and the embodiments of the present application are not limited to this.

[0085] It can be understood that the electronic control unit of the embodiment of the present application, as a data processing center at the edge of the network, can obtain basic information of the charging sites, such as the power production of the distributed photovoltaic equipment in these south-end devices, the capacity of the energy storage equipment, the remaining energy storage equipment, the charging pile power, the implementation load of the charging site, and upload this information to the charging pile data analysis and control equipment based on the cloud platform and the edge orderly charging energy control unit, thereby realizing the control of the south-end equipment.

[0086] It should be understood that the charging pile data parsing and control equipment based on the cloud platform and the edge orderly charging energy control unit can generate corresponding charging pile operation strategies, energy storage device management strategies, and other control strategies by parsing this basic information, and then send these control strategies to the electronic control units of the corresponding charging stations to achieve orderly charging control of each charging pile. That is, step S30 is to send the charging pile operation strategy to the electronic control unit of the charging station, and the electronic control unit executes the charging pile operation strategy to obtain the strategy operation results.

[0087] As can be understood, the aforementioned control strategy enables coordinated control of an integrated photovoltaic and energy storage smart microgrid, enabling intelligent microgrid management while also assisting with the orderly charging strategy of designated charging stations. The electronic control unit enables the management and coordinated operation of photovoltaic, energy storage, charging piles, and other equipment within the smart microgrid, improving regional power management capabilities.

[0088] It should be noted that in the embodiment of the present application, the operating strategy of the charging pile can be formulated based on a deep learning neural network, or it can be formulated based on a user-specified strategy, such as based on technical support documents, based on preset rules, etc. The embodiment of the present application does not limit this.

[0089] In some embodiments of the present application, the electronic control unit implemented in the present application may include an Electronics To Cloud (E2C) module. Before the method of the present application, the electronic control unit of the present application can start the Electronics To Cloud module, read the connection information of the cloud platform (such as the connection IP, connection port, etc. of the cloud platform) through the Electronics To Cloud module, and then the electronic control unit can start the Edge To Cloud module to connect the Edge To Cloud module and the cloud platform (the cloud platform can be a charging pile data parsing and control device based on the cloud platform and the edge orderly charging energy control unit). When the Edge To Cloud module and the cloud platform are successfully connected, the electronic control unit can receive and parse the charging pile operation strategy or other instruction information sent by the cloud platform through the Edge To Cloud module. When the electronic control unit completes the parsing of the charging pile operation strategy or other instruction information, it can issue a control instruction to the south end device (such as a charging pile, energy storage device, etc.), and return the execution result of the control instruction and the instruction execution data to the cloud platform through the Edge To Cloud module.

[0090] In some implementations of the embodiments of the present application, a libevent module may also be installed in the electronic control unit. Through the libevent module, the connection between the cloud platform and the edge-to-cloud module may be achieved. Specifically, the libevent module, as a transit module between the cloud platform and the edge-to-cloud module, may receive cloud data from the cloud platform and send the cloud data to the edge-to-cloud module so that the edge-to-cloud module may parse and encode the data, so that the electronic control unit may control the south-end device based on the control instructions obtained after parsing and encoding. In addition, when the edge-to-cloud module receives the device data from the south-end device, it may parse, decode, and other operations on the device data to obtain the parsed data. At the same time, the edge-to-cloud module may also send these device data and parsed data to the cloud platform through the Libevent module, so that the cloud platform may perform power consumption analysis, formulate charging pile operation strategies, and the like based on these data.

[0091] The embodiment of the present application obtains basic information about the charging station; determines the charging pile operation strategy at the charging station based on the basic information; and sends the charging pile operation strategy to the electronic control unit at the charging station, which then executes the charging pile operation strategy to obtain the strategy operation result. Because the collection of basic information about the charging station is achieved by adding an electronic control unit to the charging station as a control center at the edge of the network, the problem of charging pile data analysis and unified control can be solved without modifying the charging pile equipment. The execution of charging pile operation measurements by the electronic control unit integrates the algorithm into the control center at the edge of the network, enabling the charging pile to quickly respond to changes in the power grid and user needs.

[0092] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 3 and Figure 4 , Figure 3 This is a flow chart of the second embodiment of the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit of this application. Figure 4 This is a flow chart of an implementation method of the second embodiment of the present application.

[0093] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a computer, server, electronic control unit, etc., or an electronic device or virtual device capable of implementing the above functions. The following uses an electronic control unit (hereinafter referred to as a control unit) as an example to illustrate this embodiment and the following embodiments.

[0094] In the embodiment of the present application, the step of executing the charging pile operation strategy to obtain the strategy operation result includes:

[0095] Step S100: determining the policy-limited capacity of the charging site based on the charging pile operation strategy.

[0096] It should be noted that when the electronic control unit receives the charging pile operation strategy sent by the charging pile data analysis and control device based on the cloud platform and the edge ordered charging energy control unit, it can determine the policy limit capacity, the first power reduction gear, the second power reduction gear and the control dead zone gear of the charging site based on the charging pile operation strategy.

[0097] It is understandable that during the operation and management of charging stations, in order to ensure the safe operation of charging piles and optimize charging efficiency, while meeting the safety and stability requirements of the power grid, it is necessary to impose certain restrictions on the distribution capacity and charging power of the charging piles during charging. Specifically, when formulating the charging pile operation strategy, charging restriction parameters such as the strategy limit capacity, the first power reduction gear, the second power reduction gear, and the control dead zone gear can be determined for the charging station.

[0098] Among them, the policy limit capacity can be a charging limit parameter used to limit the charging power in the charging station; the first power reduction gear, the second power reduction gear and the control dead zone gear can be charging limit parameters used to limit the charging power of the charging pile in the charging station.

[0099] In some implementations of the embodiments of the present application, the above-mentioned first power reduction gear, second power reduction gear, and control dead zone gear can be percentage values ​​of the target power. In a specific implementation, the target power can be set to A. For the first power reduction gear, the corresponding value can be 80%; for the second power reduction gear, the corresponding value can be 60%; for the control dead zone gear, the corresponding value can be 30%. The above is only an example of the present application. The specific values ​​of the first power reduction gear, the second power reduction gear, and the control dead zone gear can be selected based on actual applications, and the embodiments of the present application are not limited to this.

[0100] It should be noted that the above-mentioned target power can be selected based on actual applications, and can be the maximum power of the charging pile, or other value-taking methods. The embodiments of the present application are not limited to this.

[0101] Step S200: When the actual power of the charging station is not greater than the policy-limited capacity, it is determined whether the actual power of the charging station is less than a power distribution threshold.

[0102] It should be noted that when determining the various charging limit parameters in the charging pile operation strategy, the actual charging power of the charging station, that is, the actual station power (P), can be obtained. The specific method for obtaining the actual station power is not limited in the embodiments of this application and can be selected according to the specific application situation.

[0103] It should be noted that the above-mentioned power distribution threshold may include a first power distribution threshold and a second power distribution threshold. The first power distribution threshold is determined based on the policy-limited capacity, the second power reduction gear, and the control dead zone gear. The second power distribution threshold is determined based on the policy-limited capacity, the first power reduction gear, and the control dead zone gear. The calculation method of the first power distribution threshold P1 and the second power distribution threshold P2 can be as follows:

[0104] P1=PH*(N2-N0);

[0105] P2 = PH * (N1 - N0);

[0106] Where, PH is the measured limit capacity, N1 is the first power reduction gear, N2 is the second power reduction gear, and N0 is the control dead zone gear.

[0107] It should be noted that when the actual power of the charging station is not less than the distribution threshold, it can be determined whether the maximum output current percentage of the charging piles in the charging station is within the preset range. That is, in step S300, if the actual power of the station is not less than the distribution threshold, it is determined whether the maximum output current percentage of the charging piles in the charging station is within the preset range.

[0108] It should be noted that the above maximum output current percentage of the charging pile can be a percentage value used to represent the proportion of the output current of the charging pile in the maximum output current of the charging pile. The above preset range can be a parameter used to limit the range of the maximum output current percentage of the charging pile.

[0109] In some embodiments of the embodiments of the present application, the above preset range can be between the second power reduction gear and the maximum output current, and can be specifically expressed as: N2 < MaxI < 100%, where N2 is the second power reduction gear.

[0110] Step S400, if the maximum output current percentage of the charging piles in the charging station is within the preset range, set the charging output power gear of the charging piles in the charging station to the preset charging power gear;

[0111] Step S500, take the charging output power gear as the strategy operation result.

[0112] It should be noted that the above preset charging power gear can be the gear corresponding to the target power of the charging pile output power, that is, the output power is 100% of the target power. When the adjustment of the charging output power gear of the charging pile is completed, it can be determined that the measurement operation result of the charging pile operation strategy is the adjusted charging output power gear, and this strategy operation result is returned to the charging pile data parsing and control device based on the cloud platform and the edge orderly charging energy control unit.

[0113] It can be understood that when the charging pile operation strategy of the present application is executed, it is possible to achieve orderly control of the output power of each charging pile in the charging station, optimize the energy distribution of the charging pile, reduce the grid load, and improve the use efficiency of the charging pile.

[0114] It should be noted that when the maximum output current percentage of the charging pile at the charging station is not within the preset range, it means that the current output power of the charging pile meets the requirements, and the output power of the charging pile needs to be adjusted to directly complete the execution of the charging pile operation strategy and return the current charging output power level as the strategy operation result to the charging pile data analysis and control equipment based on the cloud platform and edge orderly charging energy control unit.

[0115] In some implementations of the embodiments of the present application, after the step of determining the policy-limited capacity of the charging site based on the charging pile operation strategy, the method further includes:

[0116] When the actual power of the charging station is greater than the policy limit capacity, determining whether the maximum output current percentage of the charging pile in the charging station is greater than the power reduction gear;

[0117] If the percentage of the maximum output current of the charging pile is greater than the power reduction gear, the charging output power gear of the charging pile in the charging station is set to the power reduction gear;

[0118] Execute the step of using the charging output power gear as a strategy operation result.

[0119] Specifically, the power reduction gear includes a first power reduction gear and a second power reduction gear, and the step of determining whether the percentage of the maximum output current of the charging pile in the charging station is greater than the power reduction gear includes:

[0120] Determining whether the maximum output current percentage of the charging pile in the charging station is greater than the first power reduction gear;

[0121] and, determining whether the percentage of the maximum output current of the charging pile in the charging station is greater than the second power reduction gear;

[0122] Correspondingly, if the percentage of the maximum output current of the charging pile is greater than the power reduction gear, the step of setting the charging output power gear of the charging pile in the charging station to the power reduction gear includes:

[0123] When the percentage of the maximum output current of the charging pile is greater than the first power reduction gear, the charging output power gear of the charging pile in the charging station is set to the first power reduction gear;

[0124] And, when the percentage of the maximum output current of the charging pile is not greater than the first power reduction gear and greater than the second power reduction gear, the charging output power gear of the charging pile in the charging station is set to the second power gear.

[0125] It should be noted that when the actual power of the charging station is greater than the policy limit capacity, the maximum output current percentage of the charging pile can be judged first. When the maximum output current percentage of the charging pile is greater than the first power reduction gear (that is, MaxI>N1), the charging output power gear of the charging pile can be set to the first power reduction gear (N1); when the maximum output current percentage of the charging pile is greater than the second power reduction gear and not greater than the first power reduction gear (that is, N2<MaxI≤N1), the charging output power gear of the charging pile can be set to the second power reduction gear; when the maximum output current percentage of the charging pile is less than the second power reduction gear, there is no need to adjust the charging output power gear of the charging pile, and the current charging output power gear of the charging pile is directly used as the policy operation result.

[0126] The embodiment of the present application determines the policy limit capacity of the charging site based on the charging pile operation strategy; when the actual power of the charging site is not greater than the policy limit capacity, it is determined whether the actual power of the site is less than the power distribution threshold, and the power distribution threshold includes a first power distribution threshold and a second power distribution threshold; if the actual power of the site is not less than the power distribution threshold, it is determined whether the maximum output current percentage of the charging pile in the charging site is within a preset range; if the maximum output current percentage of the charging pile in the charging site is within the preset range, the charging output power gear of the charging pile in the charging site is set to the preset charging power gear; the charging output power gear is used as the policy operation result. Since the charging output power of the charging pile is strategically controlled based on the actual power of the charging site and the maximum output current percentage of the charging pile, orderly regulation of each charging pile in the charging site is achieved. At the same time, since it is carried out through the electronic control unit at the edge of the network, the charging pile data can be analyzed and processed in real time, so that the charging pile can quickly respond to changes in the power grid and user needs, reduce dependence on the central cloud, and reduce the risk of service terminals caused by network problems.

[0127] Based on the first embodiment and / or the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the first embodiment and / or the second embodiment can be referred to the above introduction and will not be described in detail later. Figure 5 and Figure 6 , Figure 5 This is a flow chart of the third embodiment of the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit of this application. Figure 6 This is a flow chart of an implementation method of the third embodiment of the present application.

[0128] In the embodiment of the present application, the step of determining whether the actual power of the site is less than the power distribution threshold includes:

[0129] Step S210, determining whether the actual power of the site is less than a first power distribution threshold;

[0130] Accordingly, if the actual power of the site is not less than the power distribution threshold, the step of determining whether the percentage of the maximum output current of the charging pile in the charging site is within a preset range includes:

[0131] Step S310: If the actual power of the site is not less than the first power distribution threshold, determine whether the actual power of the site is less than the second power distribution threshold;

[0132] Step S320: If the actual power of the site is less than the second power distribution threshold, it is determined whether the maximum output current percentage of the charging piles in the charging site is within a preset range.

[0133] Specifically, after the step of determining whether the actual power of the site is less than the first power distribution threshold, the method further includes:

[0134] If the actual power of the site is less than the first power distribution threshold, determining whether the percentage of the maximum output current of the charging pile is not greater than the second power reduction gear;

[0135] If the percentage of the maximum output current of the charging pile is not greater than the second power reduction gear, setting the charging output power gear of the charging pile in the charging station to the first power reduction gear;

[0136] If the percentage of the maximum output current of the charging pile is greater than the second power reduction gear, performing the step of determining the charging output power gear of the charging pile in the charging station based on the percentage of the maximum output current of the charging pile;

[0137] Executing the step of using the charging output power gear as a strategy operation result;

[0138] The step of determining the charging output power level of the charging pile in the charging station based on the percentage of the maximum output current of the charging pile includes:

[0139] When the percentage of the maximum output current of the charging pile is less than the preset charging power level, setting the charging output power level of the charging pile in the charging station to the preset charging level;

[0140] When the percentage of the maximum output current of the charging pile is not less than the preset charging power level, the charging output power level of the charging pile in the charging station is not changed.

[0141] In an embodiment of the present application, the actual power of the charging station can be compared with the first power distribution threshold. When the actual power of the station is less than the first power distribution threshold (P < P1), it can be determined whether the maximum output current percentage of the charging station is not greater than the second power reduction gear; if the maximum output current percentage of the charging pile is not greater than the second power reduction gear, the charging output power gear of the charging pile can be set to the first power gear; if the maximum output current percentage of the charging pile is greater than the second power reduction gear, it can be determined whether the maximum output current percentage of the charging pile is the preset charging power gear; if the maximum output current percentage of the charging pile is the preset charging power gear (that is, MaxI = 100%), at this time, the charging output power gear of the charging pile meets the requirements, and there is no need to adjust the charging output power, and directly use the current charging output power gear of the charging pile as the result of the strategy operation; if the maximum output current percentage of the charging pile is less than the preset charging power gear (that is, MaxI < 100%), at this time, the charging output power gear of the charging pile can be adjusted to the preset power gear (that is, set the charging output power gear = 100%).

[0142] In an embodiment of the present application, when the actual power of the station is not less than the first power distribution threshold, it can be judged based on the actual power of the station and the second power distribution threshold. Specifically, when the actual power of the station is not less than the second power distribution threshold, there is no need to adjust the charging output power gear of the charging pile, and directly use the current charging output power gear of the charging pile as the result of the strategy operation; when the actual power of the station is less than the second power distribution threshold, the step of judging whether the maximum output current percentage of the charging pile in the charging station is within the preset range is executed.

[0143] In an embodiment of the present application, it is judged whether the actual power of the station is less than the first power distribution threshold; if the actual power of the station is not less than the first power distribution threshold, it is judged whether the actual power of the station is less than the second power distribution threshold; if the actual power of the station is less than the second power distribution threshold, it is judged whether the maximum output current percentage of the charging pile in the charging station is within the preset range. Since the adjustment method of the charging output power gear is further clarified, the use efficiency of the charging pile is improved.

[0144] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the method for parsing and regulating the charging pile data based on the cloud platform and the edge ordered charging energy control unit of the present application. Based on this technical concept, more forms of simple transformations are within the protection scope of the present application.

[0145] The present application also provides a device for parsing and regulating the charging pile data based on the cloud platform and the edge ordered charging energy control unit. Please refer to Figure 7 , Figure 7This is a schematic diagram of the module structure of a charging pile data parsing and control device based on a cloud platform and an edge-ordered charging energy control unit according to an embodiment of the present application. The charging pile data parsing and control device based on a cloud platform and an edge-ordered charging energy control unit includes:

[0146] Data acquisition module 10, used to obtain basic information of charging stations;

[0147] A strategy formulation module 20 is configured to determine a charging pile operation strategy in the charging station based on the basic information of the charging station;

[0148] The data sending module 30 is used to send the charging pile operation strategy to the electronic control unit of the charging station, and the electronic control unit runs the charging pile operation strategy to obtain a strategy operation result.

[0149] The charging pile data analysis and control device based on a cloud platform and an edge-ordered charging energy control unit provided in the present application adopts the charging pile data analysis and control method based on a cloud platform and an edge-ordered charging energy control unit in the above-mentioned embodiment, which can solve the technical problem of the difficulty in unified management and operation and maintenance of charging piles due to the complexity and diversity of charging pile brands and models. Compared with the prior art, the beneficial effects of the charging pile data analysis and control device based on a cloud platform and an edge-ordered charging energy control unit provided in the present application are the same as the beneficial effects of the charging pile data analysis and control method based on a cloud platform and an edge-ordered charging energy control unit provided in the above-mentioned embodiment, and the other technical features of the charging pile data analysis and control device based on a cloud platform and an edge-ordered charging energy control unit are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0150] The present application provides a charging pile data analysis and control device based on a cloud platform and an edge-ordered charging energy control unit. The charging pile data analysis and control device based on a cloud platform and an edge-ordered charging energy control unit includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the charging pile data analysis and control method based on the cloud platform and the edge-ordered charging energy control unit in the above-mentioned embodiment one.

[0151] Reference below Figure 8, which shows a schematic structural diagram of a charging pile data parsing and control device based on a cloud platform and an edge-ordered charging energy control unit suitable for implementing an embodiment of the present application. The charging pile data parsing and control device based on a cloud platform and an edge-ordered charging energy control unit in the embodiment of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 8 The charging pile data analysis and control device based on the cloud platform and edge ordered charging energy control unit is only an example and should not bring any limitation to the functions and scope of use of the embodiments of this application.

[0152] like Figure 8As shown, the charging pile data parsing and control device based on the cloud platform and the edge orderly charging energy control unit may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the charging pile data parsing and control device based on the cloud platform and the edge orderly charging energy control unit are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other via a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the charging pile data parsing and control device based on the cloud platform and the edge ordered charging energy control unit to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a charging pile data parsing and control device based on the cloud platform and the edge ordered charging energy control unit with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0153] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0154] The charging pile data analysis and control device based on a cloud platform and an edge ordered charging energy control unit provided in the present application adopts the charging pile data analysis and control method based on a cloud platform and an edge ordered charging energy control unit in the above embodiment, which can solve the technical problem of difficulty in unified management and operation and maintenance of charging piles due to the complexity and diversity of charging pile brands and models. Compared with the prior art, the beneficial effects of the charging pile data analysis and control device based on a cloud platform and an edge ordered charging energy control unit provided in the present application are the same as the beneficial effects of the charging pile data analysis and control method based on a cloud platform and an edge ordered charging energy control unit provided in the above embodiment, and the other technical features of the charging pile data analysis and control device based on a cloud platform and an edge ordered charging energy control unit are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0155] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0156] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0157] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, and the computer-readable program instructions are used to execute the charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit in the above-mentioned embodiment.

[0158] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0159] The above-mentioned computer-readable storage medium can be included in the charging pile data analysis and control device based on the cloud platform and the edge orderly charging energy control unit; or it can exist independently without being assembled into the charging pile data analysis and control device based on the cloud platform and the edge orderly charging energy control unit.

[0160] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the charging pile data parsing and control device based on the cloud platform and the edge orderly charging energy control unit, the charging pile data parsing and control device based on the cloud platform and the edge orderly charging energy control unit:

[0161] Get basic information about charging stations;

[0162] Determining a charging pile operation strategy in the charging station based on the basic information of the charging station;

[0163] The charging pile operation strategy is sent to the electronic control unit of the charging site, and the electronic control unit executes the charging pile operation strategy to obtain a strategy operation result.

[0164] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0165] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0166] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0167] The readable storage medium provided by this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., a computer program) for executing the above-mentioned charging pile data analysis and control method based on the cloud platform and the edge ordered charging energy control unit, which can solve the technical problem of the difficulty in unified management and operation and maintenance of charging piles due to the complexity and diversity of charging pile brands and models. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this application are the same as the beneficial effects of the charging pile data analysis and control method based on the cloud platform and the edge ordered charging energy control unit provided by the above-mentioned embodiment, and will not be repeated here.

[0168] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the charging pile data analysis and control method based on the cloud platform and edge ordered charging energy control unit as described above.

[0169] The computer program product provided in this application can solve the technical problem of difficulty in unified management and operation and maintenance of charging piles due to the complexity and diversity of charging pile brands and models. Compared with the existing technology, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the charging pile data analysis and control method based on the cloud platform and edge-ordered charging energy control unit provided in the above embodiment, and will not be repeated here.

[0170] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A charging pile data analysis and control method based on a cloud platform and an edge ordered charging energy control unit, characterized in that: The method comprises: Get basic information about charging stations; Determining a charging pile operation strategy in the charging station based on the basic information of the charging station; Sending the charging pile operation strategy to the electronic control unit of the charging station, and the electronic control unit running the charging pile operation strategy to obtain a strategy operation result; The step of running the charging pile operation strategy to obtain a strategy operation result includes: Determining a policy-limited capacity of the charging site based on the charging pile operation strategy; When the actual power of the charging station is not greater than the policy-limited capacity, determining whether the actual power of the charging station is less than a first power distribution threshold; the first power distribution threshold is determined based on the policy-limited capacity, the second power reduction gear, and the control dead zone gear; If the actual power of the site is not less than the first power distribution threshold, determining whether the actual power of the site is less than the second power distribution threshold; If the actual power of the station is less than the second power distribution threshold, determining whether the percentage of the maximum output current of the charging pile in the charging station is within a preset range; the second power distribution threshold is determined based on the policy limit capacity, the first power reduction gear and the control dead zone gear; If the percentage of the maximum output current of the charging pile in the charging station is within a preset range, the charging output power level of the charging pile in the charging station is set to a preset charging power level; Taking the charging output power gear as the strategy operation result; The calculation method of the first power distribution threshold P1 and the second power distribution threshold P2 is as follows: ； ； Among them, PH is the measurement limit capacity, N1 is the first power reduction gear, N2 is the second power reduction gear, and N0 is the control dead zone gear.

2. The charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit according to claim 1 is characterized in that: After the step of determining the policy-limited capacity of the charging site based on the charging pile operation strategy, the method further includes: When the actual power of the charging station is greater than the policy limit capacity, determining whether the maximum output current percentage of the charging pile in the charging station is greater than the power reduction gear; If the percentage of the maximum output current of the charging pile is greater than the power reduction gear, the charging output power gear of the charging pile in the charging station is set to the power reduction gear; Execute the step of using the charging output power gear as a strategy operation result.

3. The charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit according to claim 2 is characterized in that: The power reduction gear includes a first power reduction gear and a second power reduction gear, and the step of determining whether the percentage of the maximum output current of the charging pile in the charging station is greater than the power reduction gear includes: Determining whether the maximum output current percentage of the charging pile in the charging station is greater than the first power reduction gear; and, determining whether the percentage of the maximum output current of the charging pile in the charging station is greater than the second power reduction gear; Correspondingly, if the percentage of the maximum output current of the charging pile is greater than the power reduction gear, the step of setting the charging output power gear of the charging pile in the charging station to the power reduction gear includes: When the percentage of the maximum output current of the charging pile is greater than the first power reduction gear, the charging output power gear of the charging pile in the charging station is set to the first power reduction gear; And, when the percentage of the maximum output current of the charging pile is not greater than the first power reduction gear and greater than the second power reduction gear, the charging output power gear of the charging pile in the charging station is set to the second power reduction gear.

4. The charging pile data analysis and control method based on the cloud platform and edge orderly charging energy control unit according to claim 1 is characterized in that: After the step of determining whether the actual power of the site is less than the first power distribution threshold, the method further includes: If the actual power of the site is less than the first power distribution threshold, determining whether the percentage of the maximum output current of the charging pile is not greater than the second power reduction gear; If the percentage of the maximum output current of the charging pile is not greater than the second power reduction gear, setting the charging output power gear of the charging pile in the charging station to the first power reduction gear; If the percentage of the maximum output current of the charging pile is greater than the second power reduction gear, performing the step of determining the charging output power gear of the charging pile in the charging station based on the percentage of the maximum output current of the charging pile; Executing the step of using the charging output power gear as a strategy operation result; The step of determining the charging output power level of the charging pile in the charging station based on the percentage of the maximum output current of the charging pile includes: When the percentage of the maximum output current of the charging pile is less than the preset charging power level, setting the charging output power level of the charging pile in the charging station to the preset charging power level; When the percentage of the maximum output current of the charging pile is not less than the preset charging power level, the charging output power level of the charging pile in the charging station is not changed.

5. A charging pile data analysis and control device based on a cloud platform and an edge ordered charging energy control unit, characterized in that: The charging pile data analysis and control device based on the cloud platform and edge orderly charging energy control unit includes: Data acquisition module, used to obtain basic information of charging stations; A strategy formulation module, configured to determine a charging pile operation strategy in the charging site based on basic information of the charging site; A data sending module, configured to send the charging pile operation strategy to the electronic control unit of the charging station, and the electronic control unit executes the charging pile operation strategy to obtain a strategy operation result; The operation of running the charging pile operation strategy to obtain the strategy operation result includes: Determining a policy-limited capacity of the charging site based on the charging pile operation strategy; When the actual power of the charging station is not greater than the policy-limited capacity, determining whether the actual power of the charging station is less than a first power distribution threshold; the first power distribution threshold is determined based on the policy-limited capacity, the second power reduction gear, and the control dead zone gear; If the actual power of the site is not less than the first power distribution threshold, determining whether the actual power of the site is less than the second power distribution threshold; If the actual power of the station is less than the second power distribution threshold, determining whether the percentage of the maximum output current of the charging pile in the charging station is within a preset range; the second power distribution threshold is determined based on the policy limit capacity, the first power reduction gear and the control dead zone gear; If the actual power of the station is not less than the power distribution threshold, determining whether the maximum output current percentage of the charging pile in the charging station is within a preset range; If the percentage of the maximum output current of the charging pile in the charging station is within a preset range, the charging output power level of the charging pile in the charging station is set to a preset charging power level; Taking the charging output power gear as the strategy operation result; The calculation method of the first power distribution threshold P1 and the second power distribution threshold P2 is as follows: ； ； Among them, PH is the measurement limit capacity, N1 is the first power reduction gear, N2 is the second power reduction gear, and N0 is the control dead zone gear.

6. A charging pile data analysis and control device based on a cloud platform and an edge ordered charging energy control unit, characterized in that: The device includes: a memory, a processor, and a charging pile data analysis and control program based on a cloud platform and an edge ordered charging energy control unit, which is stored in the memory and can be run on the processor. The charging pile data analysis and control program based on a cloud platform and an edge ordered charging energy control unit is configured to implement the steps of the charging pile data analysis and control method based on a cloud platform and an edge ordered charging energy control unit as described in any one of claims 1 to 4.

7. A storage medium, characterized in that: The storage medium stores a charging pile data analysis and control program based on a cloud platform and an edge ordered charging energy control unit. When the charging pile data analysis and control program based on a cloud platform and an edge ordered charging energy control unit is executed by a processor, the steps of the charging pile data analysis and control method based on a cloud platform and an edge ordered charging energy control unit as described in any one of claims 1 to 4 are implemented.

8. A computer program product, characterized in that The computer program product includes a computer program, which, when executed by a processor, implements the steps of the charging pile data analysis and control method based on a cloud platform and an edge ordered charging energy control unit as described in any one of claims 1 to 4.

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