Charging power determination method based on intelligent gateway, intelligent gateway and storage medium

Abstract

The application relates to a charging power distribution method based on an intelligent gateway, the intelligent gateway and a storage medium. The intelligent gateway is used for being connected with multiple charging piles and forming a charging network. The method comprises the following steps: determining a candidate charging pile meeting a preset power adjustment condition as a target charging pile according to a candidate charging pile set, the candidate charging pile set comprising multiple candidate charging piles, and the candidate charging pile being a charging pile in a charging state in the charging network; acquiring the maximum available charging power of the candidate charging pile set; and calculating the target charging power of the target charging pile according to a load balancing algorithm and the maximum available charging power. The maximum available charging power of the charging network and the target charging pile are determined by the intelligent gateway, and the distribution power of the target charging pile is calculated by the intelligent gateway according to the load balancing algorithm, so that the charging pile only needs to perform a charging task according to the distribution current, the load balancing function and the charging function of the charging pile are decoupled, and the design of the charging pile is simplified.

Description

Technical Field

[0001] This application relates to the field of charging technology, and in particular to a method for determining charging power based on a smart gateway, the smart gateway, and a storage medium. Background Technology

[0002] With the development of new energy vehicles, charging piles, as the power supply equipment for new energy vehicles, have gradually moved from improving hardware to making breakthroughs in software in order to provide users with a safer, more stable, more reasonable and more personalized charging environment.

[0003] However, current charging pile load balancing is generally implemented on the charging pile itself. In order to achieve load balancing of the entire charging system, the charging pile needs to obtain the power of other charging piles and issue control commands to other charging piles, which makes the charging pile design very complex and requires handling some characteristics that are not related to charging. Summary of the Invention

[0004] One objective of this application is to provide a method for determining charging power based on a smart gateway, a smart gateway, and a storage medium, in order to solve the technical problem of complex charging pile design.

[0005] In a first aspect, this application provides a method for determining charging power based on a smart gateway, wherein the smart gateway is used to communicate with multiple charging piles to form a charging network, and the method includes:

[0006] The candidate charging piles that meet the preset power adjustment conditions are determined as target charging piles based on the candidate charging pile set, wherein the candidate charging pile set includes multiple candidate charging piles, and the candidate charging piles are charging piles that are in the charging state in the charging network;

[0007] Obtain the maximum available charging power of the candidate charging pile set;

[0008] The target charging power of the target charging pile is determined based on the preset load balancing algorithm and the maximum available charging power.

[0009] Optionally, determining the candidate charging piles that meet the power adjustment conditions as the target charging piles based on the candidate charging pile set includes:

[0010] The average charging power is determined based on the maximum available charging power and the set of candidate charging stations;

[0011] Based on the average charging power and the charging power of the candidate charging piles, the candidate charging piles that meet the power adjustment conditions are determined as the target charging piles.

[0012] Optionally, determining the target charging station based on the average charging power and the charging station's charging power includes:

[0013] The deviation ratio is calculated based on the charging power of each candidate charging pile and the average charging power.

[0014] If the deviation ratio is greater than a preset threshold, then the candidate charging pile is determined to be the target charging pile.

[0015] Optionally, determining the target charging power of the target charging pile based on a preset load balancing algorithm and the maximum available charging power includes:

[0016] Based on the maximum available charging power and the candidate charging pile set, determine the upper limit and lower limit of the allocated power for the charging pile;

[0017] The target charging power is determined based on the deviation ratio of the target charging pile, the upper limit of the allocated power, and the lower limit of the allocated power.

[0018] Optionally, determining the target charging power based on the deviation ratio of the target charging pile, the upper limit of the allocated power, and the lower limit of the allocated power includes:

[0019] Determine whether the deviation ratio of the target charging pile is positive;

[0020] If the value is positive, then the target charging pile is determined to be the upper limit of the allocated power.

[0021] If the value is negative, then the target charging pile is determined to be the lower limit of the allocated power.

[0022] Optionally, determining the upper limit of the allocated power for the charging pile based on the maximum available charging power and the candidate charging pile set includes:

[0023] The average charging power is determined based on the maximum available charging power and the set of candidate charging stations;

[0024] The upper limit of the allocated power is determined based on the average charging power and the preset first ratio.

[0025] Optionally, determining the lower limit of the allocated power for the charging pile based on the maximum available charging power and the candidate charging pile set includes:

[0026] The average charging power is determined based on the maximum available charging power and the set of candidate charging stations;

[0027] The lower limit of the allocated power is determined based on the average charging power and the preset second ratio.

[0028] Optionally, after calculating the target charging power of the target charging pile, the method further includes:

[0029] Obtain the actual charging power of the target charging station;

[0030] If the difference between the actual charging power of the target charging pile and the target charging power is greater than a threshold, the target charging power is re-determined based on the actual charging power.

[0031] In a second aspect, this application provides a computer device including a memory and a processor, the memory being connected to the processor, the processor being configured to execute one or more computer programs stored in the memory, and the processor, when executing the one or more computer programs, causing the computer device to perform the method as described in the first aspect.

[0032] Thirdly, this application provides a computer-readable storage medium storing a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform the method described in the first aspect.

[0033] The embodiments of this application can achieve the following technical effects: the maximum available charging power of the charging network and the target charging pile are determined by the smart gateway, and the allocated power of the target charging pile is calculated by the smart gateway according to the load balancing algorithm. Therefore, the charging pile only needs to perform the charging task according to the allocated current, so that the load balancing function of the charging pile is decoupled from the charging function, simplifying the design of the charging pile. Attached Figure Description

[0034] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 A schematic diagram illustrating the application environment of a charging power allocation method based on a smart gateway, as provided in an embodiment of this application;

[0036] Figure 2 A schematic flowchart of a charging power allocation method based on a smart gateway is provided for an embodiment of this application;

[0037] Figure 3 This is a schematic flowchart of a method for determining a target charging pile according to an embodiment of this application;

[0038] Figure 4 This is a schematic flowchart of a method for calculating the power allocation of a target charging pile according to an embodiment of this application;

[0039] Figure 5This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments in this application without inventive effort are within the scope of protection of this application.

[0041] It should be noted that, unless there is a conflict, the various features in the embodiments of this application can be combined with each other, all of which are within the protection scope of this application. Furthermore, although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than the module division in the device or the order in the flowchart. Moreover, the terms "first," "second," and "third" used in this application do not limit the data or execution order, but only distinguish identical or similar items with essentially the same function and effect.

[0042] First, the application environment of the charging power allocation method provided in the embodiments of this application is introduced. Please refer to... Figure 1 , Figure 1 This diagram illustrates an application environment for a charging power allocation method based on a smart gateway, as provided in an embodiment of this application. The method provided in this embodiment can be applied to applications such as... Figure 1 The charging network includes a smart gateway 100 and multiple charging piles 200. The smart gateway 100 is communicatively connected to the charging piles 200. Under the control of the smart gateway 100, the charging piles 200 can charge electric vehicles connected to the charging piles 200.

[0043] The smart gateway 100 is a smart terminal device connected to the charging pile 200, used to manage the charging pile 200. Specifically, the smart gateway 100 communicates with the charging pile 200 to perform local load balancing. The charging pile 200 can also be directly controlled by the cloud through the smart gateway 100 for cloud load balancing. In specific embodiments, the smart gateway 100 can consist of one or more workstations or servers, and can collect, query, process, and analyze data from the charging pile 200, and generate a charging power allocation scheme for it. Specifically, the data that the smart gateway 100 can acquire includes the charging pile 200 and the total power of the charging pile 200. The smart gateway communicates with the target charging pile. Specifically, the communication between the smart gateway and the target charging pile can be a local area network communication connection, such as WIFI, wireless mesh network, etc., or wired communication. In this embodiment, the target charging pile does not need to be equipped with a load balancing module, but only needs to be equipped with a communication module to receive power control commands sent by the smart gateway and forward the power control commands to the control module, so that the charging pile can perform the charging task according to the power control commands.

[0044] The charging pile 200 includes at least one charging gun, and each charging gun can be matched with one user at the same time to charge the user's device, such as a new energy electric vehicle. The charging pile 200 and the charging gun can provide charging outputs of different power levels. Specifically, the intelligent gateway 100 controls the power output of the charging pile 200 and the charging gun to adjust the charging power of the electric vehicle.

[0045] In some embodiments, the charging network further includes a detector 300, which detects the charging power of the charging piles 200 or the charging power of all charging piles 200. In some embodiments, the detector 300 is a smart meter, installed on the power grid bus or the power grid branch of the charging piles 200, to acquire the charging power and transmit the charging power data to the smart gateway 100. In other embodiments, the detector 300 is a current transformer (CT) 300, which can detect a wide range of currents to accommodate different voltages.

[0046] Based on the aforementioned charging network, the charging power allocation method based on a smart gateway provided in this application can be implemented.

[0047] Please see Figure 2 , Figure 2 This is a schematic flowchart of a charging power allocation method based on a smart gateway, provided in an embodiment of this application. Figure 2 The charging power allocation method shown can be executed by a smart gateway, and the method may include:

[0048] S21. Based on the set of candidate charging piles, determine the candidate charging piles that meet the preset power adjustment conditions as the target charging piles.

[0049] In this step, the charging network is a system including a smart gateway and multiple charging piles. Specifically, the charging network is the power network architecture of the charging station, and it connects to an external power network to obtain power. For example, the charging network can connect to an external mains power system to obtain power from the mains. In other embodiments, the charging network is equipped with photovoltaic power generation equipment and photovoltaic energy storage equipment. The photovoltaic power generation equipment converts solar energy into electrical energy and supplies the electrical energy to the charging piles of the charging network. It is understood that the power supply of the charging network is not limited to the embodiments described in this application, and those skilled in the art can make adaptive adjustments according to actual needs, without limitation.

[0050] In this step, the candidate charging pile set is a collection of multiple charging piles that are currently charging. Each charging pile in the candidate charging pile set has charging power, which may be too high or too low and therefore needs to be adjusted. Therefore, each charging pile in the candidate charging pile set is a candidate charging pile, and its charging power may or may not need to be adjusted.

[0051] In this step, the target charging stations are a subset of candidate charging stations that meet the power adjustment constraints. Specifically, the target charging stations are those with excessively high or low power outputs, requiring load balancing. If a charging station's power is too high, some of its charging power may exceed the actual maximum charging power of the electric vehicle's battery. This portion of charging power is ineffective, reducing charging efficiency. Furthermore, because the charging station occupies too much charging power, the remaining charging stations have lower charging power, making it difficult to meet charging requirements and thus reducing the overall charging efficiency of the charging network. The power adjustment conditions will be described below and will not be elaborated here.

[0052] S22. Obtain the maximum available charging power of the candidate charging pile set.

[0053] In this step, the maximum available charging power is the maximum available charging power of all charging piles in the charging network. Specifically, the maximum available charging power is the maximum allowable power of the current line minus the power used by other loads. For example, if the charging network includes 10 charging piles, each with a rated power of 22kW, the maximum available charging power of the entire charging network is 150kW. If only one charging pile is charging, it will use its rated power of 22kW. If five charging piles are charging, they can still charge at their rated power, with a total power of 22kW * 5 = 110kW, which is still less than the maximum available charging power of 150kW. If all 10 charging piles are charging simultaneously, it cannot be guaranteed that all charging piles will charge at their rated power. Instead, power will be allocated to them according to the maximum available charging power, meaning each charging pile will have a power of 150kW / 10 = 15kW.

[0054] S23. Determine the target charging power of the charging pile based on the preset load balancing algorithm and the maximum available charging power.

[0055] In this step, the load balancing algorithm is used to balance the charging power of each charging station in the charging network. Specifically, if the charging power of some charging stations in the charging network is too high, the charging power of the charging stations will be reduced according to the load balancing algorithm; if the charging power of some charging stations in the charging network is too low, the charging power of the charging stations will be increased according to the load balancing algorithm. The specific configuration of the load balancing algorithm will be detailed later and will not be elaborated here.

[0056] In this step, the target charging power is the upper limit of the power output of the target charging pile calculated by the smart gateway based on the load balancing algorithm. For example, if the target charging power calculated by the smart gateway based on the load balancing algorithm is 5kW, then the maximum charging power that the corresponding charging pile can execute is 5kW. In some embodiments, since the power of the charging pile is also affected by other weights, such as whether the customer is a VIP or a priority charging user, the charging power may be further reduced to 4kW or 3kW, etc.

[0057] In this embodiment, the maximum available charging power of the charging network and the target charging pile are determined by the smart gateway, and the target charging power of the target charging pile is calculated by the smart gateway according to the load balancing algorithm. Therefore, the charging pile only needs to perform the charging task according to the allocated current, which decouples the load balancing function of the charging pile from the charging function and simplifies the design of the charging pile.

[0058] The following describes the method for identifying target charging stations.

[0059] Please see Figure 3 , Figure 3This application provides a flowchart illustrating a method for determining a target charging station according to an embodiment of the present application. The method includes:

[0060] S31. Determine the average charging power based on the maximum available charging power and the set of candidate charging stations.

[0061] S32. Based on the average charging power and the charging power of the candidate charging piles, determine the candidate charging piles that meet the power adjustment conditions as the target charging piles.

[0062] In step S31, the candidate charging pile set is a set of charging piles that are currently charging. Specifically, only charging piles that are currently performing a charging task belong to the candidate charging pile set, while charging piles that have completed their charging task but have not yet inserted the charging gun, charging piles that are scheduled to perform a charging task but have not yet started, charging piles that are not currently performing a charging task, and faulty charging piles do not belong to the candidate charging pile set. In some embodiments, the charging strategy, in addition to the average charging strategy of this application, can also be a weighted average charging strategy, a VIP user priority charging strategy, a first-come, first-served strategy, or other charging strategies.

[0063] In step S31, the average charging power is the average value calculated based on the maximum available charging power and the candidate charging pile set. The average charging power represents the baseline charging power value of the candidate charging pile set and is used to guide the calculation of the subsequent target charging power. For example, if there are 4 charging piles in the charging network, and 3 of them are currently charging, then the candidate charging pile set includes 3 charging piles. In this case, the maximum available charging power is 18kW, and the average charging power can be calculated as 18kW / 3 = 6kW. In some embodiments, the average charging power can also be a weighted average. For example, if the charging network includes both DC charging piles and AC charging piles, their charging performance parameters are different, and their impact on the load is also different. Therefore, a weight can be assigned to each charging pile before calculating the average value. It is understood that in some other embodiments, the charging network also includes supercharging piles. In a charging network with supercharging piles, using an average value would result in a significant imbalance compared to ordinary charging piles. Therefore, other statistical methods, such as weighted averages, can be used for calculation.

[0064] In step S32, the target charging pile is the charging pile in the candidate charging pile set that needs load balancing due to its load exceeding a threshold. In some embodiments, the specific process of determining the target charging pile is as follows: first, calculate the deviation ratio between the calculated charging power of the charging pile and the average charging power; then, determine whether the deviation ratio is greater than a preset deviation ratio threshold. If it is greater, the charging pile is determined to be the target charging pile; if it is less than or equal to the threshold, the charging pile is determined not to be the target charging pile. For example, if the average charging power of the candidate charging pile set is 5kW, and the charging pile's power is 5.2kW, the deviation ratio is (5.2kW-5kW) / 5kW = 4%, and the deviation ratio threshold is 50%, then the deviation ratio is less than the deviation ratio threshold, meaning that the charging pile does not need load balancing adjustment. As another example, if the deviation ratio of the charging pile is 45%, and the deviation ratio threshold is 40%, then the deviation ratio is greater than the deviation ratio threshold, and the charging pile needs load balancing adjustment and is determined to be the target charging pile. Alternatively, if the average charging power of the candidate charging pile set is 5kW, while the charging pile itself is 4kW, the deviation ratio is (4kW-5kW) / 5kW = -20%, and the deviation ratio threshold is 10%. In this case, the absolute value of the deviation ratio is greater than the threshold, and the charging pile still needs to be selected as the target charging pile for load balancing. It's understandable that the deviation ratio is highly correlated with the average charging power of the candidate charging pile set. Since the average charging power is a dynamic value, the deviation ratio fluctuates significantly with the average charging power. For example, when the average charging power is 4kW, a deviation of 1kW yields a deviation ratio of 25%, while when the average charging power is 8kW, the same deviation of 1kW yields a deviation ratio of only 12.5%. Therefore, the deviation ratio threshold is also set to be adjustable to better determine the target charging pile requiring load balancing under different average charging power conditions.

[0065] The following describes the method for calculating the target charging power of a target charging station.

[0066] Please see Figure 4 , Figure 4 This application provides a schematic flowchart of a method for calculating the target charging power of a target charging pile according to an embodiment of the present application. The method includes:

[0067] S41. Based on the maximum available charging power and the candidate charging pile set, determine the upper limit and lower limit of the allocated power for the charging pile.

[0068] S42. Determine the target charging power based on the deviation ratio of the target charging pile, the upper limit of the allocated power, and the lower limit of the allocated power.

[0069] In step S41, the upper limit of the allocated power is the maximum power limit value of the preset candidate charging pile set. Specifically, the upper limit of the allocated power is a non-fixed value related to the average charging power. When the average charging power is relatively high, the upper limit of the allocated power also increases accordingly; conversely, when the average charging power is relatively low, the lower limit of the allocated power also decreases accordingly. In some embodiments, the method for determining the upper limit of the allocated power includes first determining the average charging power, and then determining the upper limit of the allocated power based on the average charging power and a preset first ratio. For example, if the average charging power is 5 kW and the first ratio is 40%, then the upper limit of the allocated power is 5 kW * (1 + 40%) = 7 kW, that is, the upper limit of the allocated power is 7 kW. In another embodiment, if the average charging power is 6 kW and the first ratio is 30%, then the upper limit of the allocated power is 6 kW * (1 + 30%) = 7.8 kW. Therefore, the first ratio is not a fixed value, but a floating value that is negatively correlated with the average charging power. This is to avoid the upper limit of the allocated power being too high during peak charging periods when the average charging power is high, exceeding the maximum current that the electric vehicle battery can receive or the maximum rated power designed for the charging pile.

[0070] In step S41, the lower limit of the allocated power is the minimum power limit value of the preset candidate charging pile set. Specifically, the lower limit of the allocated power is a non-fixed value associated with the average charging power. When the average charging power is relatively high, the lower limit of the allocated power is correspondingly increased; conversely, when the average charging power is relatively low, the lower limit of the allocated power is correspondingly decreased. In some embodiments, the method for determining the upper limit of the allocated power includes first determining the average charging power, and then determining the upper limit of the allocated power based on the average charging power and a preset first ratio. For example, if the average charging power is 5 kW and the second ratio is 40%, then the upper limit of the allocated power is 5 kW * (1 - 40%) = 3 kW, that is, the lower limit of the allocated power is 3 kW. In another embodiment, if the average charging power is 6 kW and the second ratio is 30%, then the lower limit of the allocated power is 6 kW * (1 - 30%) = 4.2 kW. Therefore, the second ratio is not a fixed value, but a floating value that is negatively correlated with the average charging power. This means that when the average charging power is high, the lower limit of the allocated power increases faster, so that all charging piles have high charging power, rather than only supplying some charging piles for fast charging, thereby improving the charging efficiency of the entire charging network.

[0071] In step S42, based on the actual situation of the target charging pile, the upper or lower limit of the allocated power is selected to be allocated to the target charging pile. Specifically, the method includes first determining whether the deviation ratio of the target charging pile is positive. If the deviation ratio is positive, it indicates that the current charging power of the target charging pile is too high and needs to be reduced, and the target charging power is determined according to the upper limit of the allocated power. Conversely, if the deviation ratio is negative, it indicates that the current charging power of the target charging pile is too low and needs to be increased, and the target charging power is determined according to the lower limit of the allocated power.

[0072] In some embodiments, after sending the target charging power to the target charging pile, the method further includes: obtaining the actual charging power of the target charging pile, determining whether the difference between the actual charging power and the target charging power is greater than a threshold; if it is greater, then re-determining the target charging power based on the actual charging power. It is understood that if the actual charging power deviates significantly from the target charging power, directly determining the target charging power based on the actual charging power may prevent the charging pile from completing its originally set charging task. Therefore, it is necessary to re-determine the target charging power based on the actual charging power. It should be noted that the target charging power is not a directly transmitted power value. For example, when the overall load of the charging network is too high to meet the charging power of all charging piles, the lower limit of the allocated power will be prioritized to ensure that each charging pile can charge at a certain efficiency. The upper limit of the allocated power will be fully allocated based on the remaining power after the lower limit is met.

[0073] In this embodiment, a smart gateway determines the maximum available charging power of the charging network and the target charging pile. The smart gateway then calculates the target charging power for the target charging pile using a load balancing algorithm. Therefore, the charging pile only needs to perform the charging task based on the allocated current, decoupling the load balancing function from the charging function and simplifying the charging pile design. Furthermore, by specifically setting the upper and lower limits of the allocated power as floating values ​​related to the average charging power, the target charging power can be adapted to different charging piles and charging power conditions.

[0074] It should be noted that in the above embodiments, there is no necessarily a certain order between the steps. Those skilled in the art can understand from the description of the embodiments of this application that the above steps may have different execution orders in different embodiments, that is, they may be executed in parallel or in turn, etc.

[0075] As another aspect of the embodiments of this application, this application provides a charging power distribution device based on a smart gateway. The charging power distribution device can be a software module, which includes several instructions stored in a memory. A processor can access the memory, call the instructions, and execute them to complete the charging power distribution methods described in the various embodiments above.

[0076] The charging power distribution device includes an information acquisition module, a charging pile screening module, a power acquisition module, and a power calculation module. These multiple functional modules are interconnected to transmit data. Specifically, the charging power distribution device includes:

[0077] An information collection module is used to determine a set of candidate charging piles, which includes multiple candidate charging piles, and the candidate charging piles are charging piles that are in a charging state in the charging network.

[0078] The charging pile screening module is used to determine the candidate charging piles that meet the preset power adjustment conditions as target charging piles based on the set of candidate charging piles.

[0079] A power acquisition module is used to determine the maximum available charging power of the candidate charging pile set;

[0080] The power calculation module is used to calculate the target charging power of the target charging pile based on a preset load balancing algorithm and the maximum available charging power.

[0081] In one possible design, when the charging pile screening module is used to determine the candidate charging piles that meet the power adjustment conditions as target charging piles based on the candidate charging pile set, it is specifically used to: determine the average charging power based on the maximum available charging power and the candidate charging pile set; and determine the candidate charging piles that meet the power adjustment conditions as target charging piles based on the average charging power and the charging power of the candidate charging piles.

[0082] In one possible design, when the charging pile screening module determines the target charging pile based on the average charging power and the charging power of the charging pile, it specifically performs the following: calculates the deviation ratio between the charging power of each candidate charging pile and the average charging power; if the deviation ratio is greater than a preset threshold, then the candidate charging pile is determined to be the target charging pile.

[0083] In one possible design, when the power calculation module is used to calculate the target charging power of the target charging pile according to the preset load balancing algorithm and the maximum available charging power, it is specifically used to: determine the upper limit and lower limit of the allocated power of the charging pile according to the maximum available charging power and the candidate charging pile set; and determine the target charging power according to the deviation ratio of the target charging pile, the upper limit of the allocated power and the lower limit of the allocated power.

[0084] In one possible design, when the power calculation module is used to determine the target charging power based on the deviation ratio of the target charging pile, the upper limit of the allocated power, and the lower limit of the allocated power, it is specifically used to: determine whether the deviation ratio of the target charging pile is positive; if it is positive, determine that the target charging pile is the upper limit of the allocated power; if it is negative, determine that the target charging pile is the lower limit of the allocated power.

[0085] In one possible design, when the power calculation module is used to determine the upper limit of the allocated power of the charging pile based on the maximum available charging power and the set of candidate charging piles, it is specifically used to: determine the average charging power based on the maximum available charging power and the set of candidate charging piles; and determine the upper limit of the allocated power based on the average charging power and a preset first ratio.

[0086] In one possible design, when the power calculation module is used to determine the lower limit of the allocated power of the charging pile based on the maximum available charging power and the set of candidate charging piles, it is specifically used to: determine the average charging power based on the maximum available charging power and the set of candidate charging piles; and determine the lower limit of the allocated power based on the average charging power and a preset second ratio.

[0087] In one possible design, the charging power distribution device further includes a power feedback module for obtaining the actual charging power of the target charging pile; if the difference between the actual charging power of the target charging pile and the target charging power is greater than a threshold, the target charging power is re-determined based on the actual charging power.

[0088] In some embodiments, the charging power distribution device can also be constructed from hardware components. For example, the charging power distribution device can be constructed from one or more chips, which can work in coordination to complete the charging power distribution method described in the various embodiments above. As another example, the charging power distribution device can also be constructed from various logic devices, such as general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), microcontrollers, ARM (Acorn RISC Machine) or other programmable logic devices, discrete gate or transistor logic, discrete hardware components, or any combination of these components.

[0089] See Figure 5 , Figure 5 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. The computer device 900 includes one or more processors 91 and a memory 92. The memory 92 is connected to one or more processors 91, for example, via a bus.

[0090] Processor 91 is configured to support the computer device 900 in performing the corresponding functions in the methods described in the above method embodiments. Processor 91 may be a central processing unit (CPU), a network processor (NP), a hardware chip, or any combination thereof. The aforementioned hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The aforementioned PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0091] Memory 92 is used to store program code, etc. Memory 92 may include volatile memory (VM), such as random access memory (RAM); memory may also include non-volatile memory (NVM), such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid-state drive (SSD); memory 92 may also include combinations of the above types of memory.

[0092] The memory 92 can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program instructions / modules corresponding to the charging power allocation method in the embodiments of this application. The processor 91 executes various functional applications and data processing of the charging power allocation method and charging power allocation device by running the non-volatile software programs, instructions, and modules stored in the memory 92, that is, it realizes the functions of each module or unit of the charging power allocation method and charging power allocation device provided in the above method embodiments.

[0093] The memory 92 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function. The data storage area may store data created based on the use of the charging power distribution device, etc. In some embodiments, the memory 92 may optionally include remotely located memories 92 relative to the processor, which can be connected to the charging power distribution device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0094] The one or more modules are stored in the memory 92. When executed by the one or more processors, they perform the charging power distribution device method in any of the above method embodiments. For example, they perform the method steps described in the above method embodiments to realize the functions of the modules described in the above device embodiments.

[0095] This application also provides a computer-readable storage medium storing a computer program, the computer program including program instructions, which, when executed by a computer, cause the computer to perform the method described in the foregoing embodiments.

[0096] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0097] The above-disclosed embodiments are merely preferred embodiments of this application and should not be construed as limiting the scope of this application. Therefore, any equivalent variations made in accordance with the claims of this application shall still fall within the scope of this application.

Claims

1. A method for determining charging power based on a smart gateway, wherein the smart gateway is used to communicate with multiple charging piles to form a charging network, characterized in that, The method includes: The system determines target charging piles based on a set of candidate charging piles that meet preset power adjustment conditions. The set of candidate charging piles includes multiple candidate charging piles, each of which is a charging pile currently charging within the charging network. Specifically, this involves: determining an average charging power based on the maximum available charging power and the set of candidate charging piles; calculating a deviation ratio between the charging power of each candidate charging pile and the average charging power; and determining the candidate charging pile as the target charging pile if the absolute value of the deviation ratio is greater than a preset threshold. Obtain the maximum available charging power of the candidate charging pile set; The target charging power of the target charging pile is determined based on the preset load balancing algorithm and the maximum available charging power.

2. The method according to claim 1, characterized in that, The step of determining the target charging power of the target charging pile based on a preset load balancing algorithm and the maximum available charging power includes: Based on the maximum available charging power and the candidate charging pile set, determine the upper limit and lower limit of the allocated power for the charging pile; The target charging power is determined based on the deviation ratio of the target charging pile, the upper limit of the allocated power, and the lower limit of the allocated power.

3. The method according to claim 2, characterized in that, Determining the target charging power based on the deviation ratio of the target charging pile, the upper limit of the allocated power, and the lower limit of the allocated power includes: Determine whether the deviation ratio of the target charging pile is positive; If the value is positive, then the target charging pile is determined to be the upper limit of the allocated power. If the value is negative, then the target charging pile is determined to be the lower limit of the allocated power.

4. The method according to claim 2, characterized in that, The step of determining the upper limit of the allocated power for the charging pile based on the maximum available charging power and the candidate charging pile set includes: The average charging power is determined based on the maximum available charging power and the set of candidate charging stations; The upper limit of the allocated power is determined based on the average charging power and the preset first ratio.

5. The method according to claim 2, characterized in that, The step of determining the lower limit of the allocated power for the charging pile based on the maximum available charging power and the candidate charging pile set includes: The average charging power is determined based on the maximum available charging power and the set of candidate charging stations; The lower limit of the allocated power is determined based on the average charging power and the preset second ratio.

6. The method according to any one of claims 1 to 5, characterized in that, After calculating the target charging power of the target charging pile, the method further includes: Obtain the actual charging power of the target charging station; If the difference between the actual charging power of the target charging pile and the target charging power is greater than a threshold, the target charging power is re-determined based on the actual charging power.

7. A smart gateway, characterized in that, The device includes a memory and a processor, the memory being connected to the processor, the processor being configured to execute one or more computer programs stored in the memory, the processor causing the smart gateway to implement the method as described in any one of claims 1-6 when executing the one or more computer programs.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform the method as described in any one of claims 1-6.

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