A charging power control method and system

Abstract

This invention belongs to the field of power supply and distribution technology, specifically a charging power control method and system. The system includes a controller unit, a hierarchical control unit, and a collaborative control unit. This invention evaluates the ratio of the sum of the actual power of a charging station to the sum of its maximum power, and the ratio of the actual power of any charging pile to its maximum power. It categorizes both the charging station and any charging pile into three states: normal state, power-limited state, and over-limit state. These three states represent the current status of the charging pile or the charging station, respectively. Through the hierarchical control unit and the collaborative control unit, power is allocated according to the three states of the charging station and, specifically, the three states of any charging pile. This helps prevent the charging station from affecting the stability of the regional power grid and also makes predictive adjustments to the load of the charging station, preventing a rapid increase in load power that could lead to safety hazards.

Description

Technical Field

[0001] This invention relates to the field of power supply and distribution technology, and in particular to a charging power control method and system. Background Technology

[0002] Charging power control methods refer to adjusting and managing the charging power of electric vehicles or other devices through certain technical means and strategies to meet the needs of different scenarios, as shown in the following two existing patents.

[0003] (Publication No.: CN111422093A) A multi-gun simultaneous charging system for electric vehicles and (Publication No.: CN108923485A) A power control method for charging piles in residential communities are both used to regulate and manage the charging power of electric vehicles.

[0004] However, during the construction of each charging pile in a charging station, regardless of whether multiple charging guns are equipped, the total power of the charging pile is fixed. Due to the large difference between peak and off-peak electricity prices, or the concentration of travel time, the charging time of vehicles in the charging station is often concentrated. For example, in residential areas, the charging time is often from 6 pm to 2 am, or in industrial areas, it is from 8 am to 11 am. Since different car models have different charging power and charging voltage, if the charging power cannot be adjusted reasonably, it will often lead to excessive power in the charging station, causing the power grid to limit the voltage of the charging station. Alternatively, the charging frequency can be low during the concentrated charging time, affecting the charging efficiency of electric vehicles.

[0005] Alternatively, installing charging stations in residential areas often presents the challenge of increasing the load on the local power grid during centralized charging. If priorities are not set appropriately to ensure that connected electric vehicles can complete charging quickly, and if a connected electric vehicle is not yet fully charged while a new electric vehicle needs charging, the charging load will be further increased, thus affecting the overall charging efficiency of the charging station and the stability of the power grid in the area where the charging station is located.

[0006] Therefore, it is necessary to provide a charging power control method and system to solve the above-mentioned technical problems. Summary of the Invention

[0007] To solve the above-mentioned technical problems, the present invention provides a charging power control system, including a controller unit, a hierarchical control unit, and a cooperative control unit;

[0008] The controller unit includes a status determination module, a status classification module, and an instruction module;

[0009] Status determination module: Determines the status of charging piles in the charging station at fixed time intervals, calculates the maximum power of the charging station and compares the actual power and the sum of the two, compares the maximum power of a single charging pile with the actual power, and compares the sum of the maximum power of the charging station with the sum of the actual power of the charging station.

[0010] Status classification module: Based on the comparison results, the power status of a single charging pile is classified into normal status, limited power status, and over-limit status, and the power status of the charging station is classified into normal status, limited power status, and over-limit status.

[0011] Command module: When the power status of the charging station changes, the controller unit sends the power status of the charging station to each charging pile, calculates the given power of each charging pile based on the status, and then sends these given powers to each charging pile.

[0012] The hierarchical control unit includes: a charging data module, a charging sequencing module, and a charging control module;

[0013] Charging data module: Acquires real-time data to support dynamic sorting;

[0014] Charging sequencing module: determines the priority order of connected electric vehicles;

[0015] Charging control module: With the goal of smoothing load fluctuations, it controls the charging power of electric vehicles in real time according to the priority ranking results;

[0016] Collaborative control unit: includes cluster control module and learning algorithm module;

[0017] Cluster control module: Automatically distributes the total charging power of the charging station to each electric vehicle in the station, ensuring that the charging needs of each electric vehicle are met before the preset departure time;

[0018] Learning algorithm module: The SAC algorithm is used to solve for the optimal charging power of the charging station in real time, while taking into account factors such as prediction information and the number of available charging piles in the station to make the optimal decision.

[0019] Preferably, the status determination module divides the maximum power of a single charging pile by the actual power to form the percentage of the actual power of the single charging pile, and divides the sum of the maximum power of the charging stations by the sum of the actual power to form the percentage of the actual power of the charging stations.

[0020] Preferably, if the actual power of the charging pile is less than 90%, it is in a normal state. If the load on the entire charging station is too high or the charging pile temperature is too high, the charging pile will enter a power limiting state. If the actual power of the charging pile remains at 100%, the charging pile is in an over-limit state.

[0021] Preferably, if the actual power of the charging station is less than 80%, it is in a normal state; if the actual power of the charging station remains at 80% for a long time, it is in a power-limited state; and if the actual power of the charging station is greater than 80%, the charging station is in an over-limit state.

[0022] Preferably, the cluster control module automatically distributes the overall charging power of the charging station to each electric vehicle in the station. When the power status of the charging station changes, the instruction module of the controller unit sends the power status of the charging station to each charging pile, and reallocates the given power of each charging pile according to the status, and then issues these given powers to each charging pile.

[0023] Preferably, the charging sorting module prioritizes existing and newly connected electric vehicles based on the total power of the charging station and the number of charging piles in use, combined with the charging power and charging voltage of newly connected electric vehicles. The charging control module adjusts the charging power according to the signals of the electric vehicles connected to the charging piles through dynamic sorting, forming a dynamic sorting method to adjust the power of each charging pile according to priority.

[0024] Preferably, a license plate recognition gate is set up at the entrance of the charging station. The number of vehicles entering the charging station can be calculated through the license plate recognition gate. Based on the number of charging piles in the charging station, the number of vehicles entering the charging station, and the charging protocol of the electric vehicle itself, the power is allocated to each electric vehicle using a cluster control module.

[0025] A charging power control method:

[0026] S1: Electric vehicles enter the charging station through the license plate recognition gate, connect the electric vehicle to the charging pile, and collect the charging data of the connected electric vehicle through the charging data module using the charging protocol, including the charging voltage and charging power of the vehicle.

[0027] S2: The load of the charging pile and the charging station is determined by comparing the maximum power and the actual power of the charging pile with the sum of the maximum power of the charging station after the charging pile is connected, and by comparing the sum of the maximum power of the charging station with the sum of the actual power of the charging station. Then the status classification module classifies the status of the charging pile and the charging station.

[0028] S21, Charging station status is:

[0029] When the charging station is in normal operation, it provides the maximum charging power to all charging piles according to the vehicle's charging protocol.

[0030] When a charging station is in a power-limited state, all charging piles provide charging power according to priority order;

[0031] When a charging station is in an over-limit state, all charging piles will provide medium to high charging power according to priority order, and charging requests from newly connected electric vehicles will be suspended.

[0032] S22, Charging station status is:

[0033] When the charging station is in normal working order, it provides the maximum charging power according to the vehicle's charging protocol.

[0034] When the charging station is in a power-limited state, the charging station will provide medium to low power charging according to the vehicle's charging protocol.

[0035] When a charging station is in an over-limit state, the maximum charging power of the charging station is limited and the charging power is reduced periodically.

[0036] S3: Based on the power status of the charging station, the command module sends the power status of the charging station to each charging pile through the controller unit, calculates the given power of each charging pile based on the status, and sends the command to each charging pile.

[0037] S4: The priority of each electric vehicle corresponding to each charging pile is determined by the charging sorting module, and then the charging control module adjusts in real time according to the actual charging signals of electric vehicles connecting and disconnecting, forming a dynamic sorting method to adjust the power of each charging pile according to the priority order.

[0038] S5: S5 and S1 are parallel. After an electric vehicle enters the charging station and connects to the charging pile, the power is allocated to the electric vehicle by the cluster control module in combination with the power status of the charging station, and the charging time is estimated.

[0039] S6: Through the learning algorithm module, the data of electric vehicles entering and leaving the charging station, the power data of electric vehicles, and the prediction information are formed into big data. A formula model is established, and then the big data is used to optimize the formula model to ensure that the allocated power does not exceed the power supported by the actual number of charging piles available, and to control the power allocation priority between fast charging and slow charging vehicles.

[0040] Compared with related technologies, the charging power control method and system provided by the present invention have the following advantages:

[0041] Beneficial effects:

[0042] 1. This invention evaluates the ratio of the sum of the actual power of a charging station to the sum of its maximum power, and the ratio of the actual power of any charging pile to its maximum power. It categorizes both the charging station and any charging pile into three states: normal state, power-limited state, and over-limit state. These three states represent the current status of the charging pile or the charging station. Through a hierarchical control unit and a collaborative control unit, power is allocated according to the three states of the charging station and, specifically, the three states of any charging pile. This helps prevent the charging station from affecting the stability of the regional power grid and also allows for predictive load adjustments to the charging station, preventing a rapid increase in load power that could lead to safety hazards.

[0043] 2. The charging sorting module and charging control module of this invention prioritize electric vehicles based on their access time, charging power, and charging voltage. In abnormal charging station conditions, higher-priority electric vehicles are charged first. The charging control module works in conjunction with the charging sorting module. Through dynamic sorting, the charging power is adjusted according to the signals of electric vehicles accessing the charging piles, forming a dynamic sorting system that adjusts the power of each charging pile according to priority. This helps stabilize the power load of the charging station and increases the frequency of charging completion during concentrated charging periods, thereby improving charging efficiency. Attached Figure Description

[0044] Figure 1 A system configuration diagram of a charging power control method and system provided by the present invention;

[0045] Figure 2 A schematic diagram of a charging station configuration for a charging power control method and system provided by the present invention;

[0046] Figure 3 A reference schematic diagram of power configuration for the construction of a charging station, which is provided by the present invention, for the construction of a charging power control method and system;

[0047] Figure 4 A schematic diagram of a charging station priority charging method and system for charging power control provided by the present invention;

[0048] Figure 5 This is a schematic diagram illustrating the dynamic adjustment of priority in an embodiment of a charging power control method and system provided by the present invention. Detailed Implementation

[0049] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] Example

[0051] like Figure 1 As shown, a charging power control system:

[0052] The controller unit includes a status determination module, a status classification module, and an instruction module;

[0053] Status determination module: Determines the status of charging piles in the charging station at fixed time intervals, calculates the maximum power of the charging station and compares the actual power and the sum of the two, compares the maximum power of a single charging pile with the actual power, and compares the sum of the maximum power of the charging station with the sum of the actual power of the charging station.

[0054] The status determination module divides the maximum power of a single charging pile by its actual power to form the percentage of the actual power of that single charging pile. It also divides the sum of the maximum power of the charging station by the sum of the actual power to form the percentage of the actual power of the charging station. This allows for a direct view of the overall load of the charging station and the load of a specific charging pile.

[0055] For example, if a certain electric vehicle has a fast charging power of 120kW, but the actual charging power of a charging station is 80kW, then the power ratio of a single charging station is 66.66%. If the standard total power of a charging station is 3600kW, but the actual power of the charging station is 600kW, then the actual power ratio of the charging station is 16.66%.

[0056] Status classification module: Based on the comparison results, the power status of a single charging pile is classified into normal status, limited power status, and over-limit status, and the power status of the charging station is classified into normal status, limited power status, and over-limit status.

[0057] Currently, the maximum power of charging piles can reach 350kW. In actual construction, charging piles are generally between 120kW and 240kW. The charging power of new energy vehicles is generally between 40kW and 120kW. Within this range, they are all in normal condition. If the entire charging station experiences excessive load or the charging pile is detected to be too hot, then a single charging pile will enter a power limiting state. When the vehicle's charging power remains at the maximum charging power, then a single charging pile is in an over-limit state. For example, the maximum charging power of a charging pile is 120kW, and the charging power is continuously maintained at 120kW.

[0058] If a charging station has a rated power of 3600kW, it is considered normal if its total power is less than 2880kW or 3060kW (this varies slightly depending on the materials used and construction standards, ranging from 80% to 85% of the total power). If the charging station's power remains at 2880kW or 3060kW for an extended period, it is considered a power-limited state. Charging stations are typically powered by the power grid. If the charging station's power is too high, it may place an excessive load on the power grid, affecting its stability and power quality. When the total power of a charging station exceeds 2880kW or 3060kW, the charging station is considered to be in an over-limit state, which requires the regional power grid to be under low load.

[0059] Command module: When the power status of the charging station changes, the controller unit sends the power status of the charging station to each charging pile, calculates the given power of each charging pile based on the status, and then sends these given powers to each charging pile.

[0060] The cluster control module automatically distributes the total charging power of the charging station to each electric vehicle in the station. When the power status of the charging station changes, the instruction module of the controller unit sends the power status of the charging station to each charging pile, and reallocates the given power of each charging pile according to the status, and then sends these given powers to each charging pile.

[0061] The hierarchical control unit includes: a charging data module, a charging sequencing module, and a charging control module;

[0062] Charging data module: Acquires real-time data to support dynamic sorting.

[0063] By collecting data from charging stations, it can be determined whether the charging pile is in a charging state. Through the vehicle's charging protocol, the maximum charging power and voltage can be obtained.

[0064] Charging protocols refer to a series of specifications and standards for communication and control between vehicles and charging stations during the charging process. They ensure compatibility between electric vehicles and charging stations from different manufacturers, enabling users to charge at different charging facilities.

[0065] Charging sorting module: Determines the priority order of connected electric vehicles.

[0066] Since different new energy vehicles have different charging power and voltage, they can be roughly divided into fast charging and slow charging. Based on the total power of the charging station and the number of charging piles in use, if the charging station is in a power-limited state, it is necessary to prioritize the connected electric vehicles, giving priority to ensuring the power and voltage of high-voltage fast charging electric vehicles. Fast charging vehicles often have higher charging power and charging voltage, and their charging speed is relatively faster, allowing fast charging vehicles to be fully charged and leave the charging station quickly. This can ensure the flow of vehicles at the charging station and reduce the time the charging station is in a power-limited state.

[0067] Charging control module: With the goal of smoothing load fluctuations, it controls the charging power of electric vehicles in real time according to the priority ranking results.

[0068] The charging control module mainly works in conjunction with the charging sequencing module. The charging control module adjusts the charging power according to the signals of electric vehicles connected to the charging pile through dynamic sequencing, forming a dynamic sequencing method to adjust the power of each charging pile according to priority.

[0069] For example, if two electric vehicles simultaneously enter a charging station, one a fast-charging vehicle and the other a slow-charging vehicle, and both connect to the charging pile at the same time, if the charging station is under power limiting conditions, priority will be given to the fast-charging electric vehicle. (Refer to...) Figure 4 ;

[0070] Alternatively: If a slow-charging electric vehicle is about to reach its expected charging time at the charging station, and a new fast-charging electric vehicle enters the station and connects to a charging pile, the slow-charging electric vehicle, which is about to finish charging, will be given priority if the charging station is under power limiting conditions.

[0071] Cooperative control unit

[0072] Cluster control module: Automatically distributes the total charging power of the charging station to each electric vehicle in the station, ensuring that the charging needs of each electric vehicle are met before the preset departure time;

[0073] A license plate recognition gate is set up at the entrance of the charging station. The number of vehicles entering the charging station can be counted through the license plate recognition gate. Based on the number of charging piles in the charging station, the number of vehicles entering the charging station, and the charging protocol of the electric vehicle itself, power is allocated to each electric vehicle.

[0074] For example, if an electric vehicle with a 40kW slow charge enters a charging station, and the charging station is in normal working order, the charging pile that the vehicle is connected to can maintain a 40kW charging power.

[0075] If a 40kW slow-charging electric vehicle enters a charging station, and the charging station is already in a power-limited state, then the charging power of the connected charging pile needs to be reduced to 20kW to ensure that other electric vehicles with fast charging can be quickly fully charged and leave, and then the charging power of the slow-charging electric vehicle can be increased.

[0076] Alternatively, if a 120kW fast-charging electric vehicle enters a charging station, and the station is already under power limiting, and there is already one fast-charging electric vehicle and one slow-charging electric vehicle inside, the slow-charging electric vehicle, due to its lower priority than the existing fast-charging electric vehicle, will be prioritized to ensure the existing fast-charging electric vehicle completes its charging quickly. Since the slow-charging electric vehicle is already being treated as a lower priority, it also needs to be guaranteed to complete charging within its estimated charging time. Therefore, considering the estimated charging time of the slow-charging electric vehicle, after the existing fast-charging electric vehicle has completed charging, if the estimated time for the slow-charging electric vehicle is >60 minutes, the charging power of the newly connected fast-charging electric vehicle will be prioritized; if the estimated time for the slow-charging electric vehicle is <60 minutes, the priority of the slow-charging electric vehicle will be increased to ensure its maximum power supply and rapid completion. The priority of the newly connected 120kW fast-charging electric vehicle will be downgraded, and its charging power will be limited. (Refer to...) Figure 5 .

[0077] Learning algorithm module: The SAC algorithm is used to solve for the optimal charging power of the charging station in real time, while taking into account factors such as prediction information and the number of available charging piles in the station to make the optimal decision.

[0078] To more accurately optimize the power allocation of charging stations, a more complex model can be considered, which not only takes into account the power requirements of fast-charging and slow-charging vehicles, but also the limitations on the number of charging piles and possible grid constraints.

[0079] Assumption:

[0080] W: Charging power of the charging station.

[0081] P: Total charging power of the charging station.

[0082] N: The number of currently available charging stations.

[0083] D: Total power requirements for fast-charging vehicles.

[0084] C: Total power requirements for slow-charging vehicles.

[0085] α: Weighting factor, used to adjust the priority between fast charging and slow charging.

[0086] The formula is:

[0087]

[0088] Ntotal It represents the total number of charging piles within the charging station.

[0089] This indicates the impact of the current percentage of idle charging stations on available power.

[0090] The formula involves multiplying the total power P of the charging station by the proportion of currently available charging piles to ensure that the allocated power does not exceed the power supported by the actual number of available charging piles. Simultaneously, by adjusting α, the power allocation priority between fast-charging and slow-charging vehicles can be controlled.

[0091] The power of the charging station needs to be constrained by the power grid, while also taking into account the real-time load of the power grid or other external factors. Furthermore, a power grid state factor β (0≤β≤1) is introduced, where β close to 1 indicates that the power grid is in good condition, and β close to 0 indicates that the power grid load is high or unstable.

[0092]

[0093] When the power grid is in poor condition, the charging station will automatically reduce its output power to avoid putting too much strain on the grid.

[0094] The comma (,) is typically used as a separator to distinguish different elements or terms. In the formula above, the comma is used to separate the two main parts.

[0095] Part 1: αD+1-αC This part of the calculation is based on the weighted sum of the power requirements of fast-charging and slow-charging vehicles.

[0096] Part Two: This part of the calculation is based on the product of the total power of the charging station and the current proportion of idle charging piles.

[0097] The function of (,) here is to clearly distinguish between the two calculation results so that the min function can be used later to select the smaller value as the final charging power W.

[0098] A charging power control method:

[0099] Establish controller units, hierarchical control units, and collaborative control units;

[0100] Electric vehicles enter the charging station through the license plate recognition gate. The electric vehicle is connected to the charging pile, and the charging data module collects the charging data of the connected electric vehicle using the charging protocol, including the vehicle's charging voltage and charging power.

[0101] The load of a single charging pile and charging station is determined by comparing the maximum power and actual power of the charging pile with the sum of the maximum power of the charging station after the charging pile is connected, and by comparing the sum of the maximum power of the charging station with the sum of the actual power of the charging station. Then, the status classification module classifies the status of the charging pile and the charging station.

[0102] When the charging station is in normal operation, it provides the maximum charging power to all charging piles according to the vehicle's charging protocol.

[0103] When a charging station is in a power-limited state, all charging piles provide charging power according to priority order;

[0104] When a charging station is in an over-limit state, all charging piles will provide medium to high charging power according to priority order, and charging requests from newly connected electric vehicles will be suspended.

[0105] For example, if the charging pile has a charging power of 120kW and the electric vehicle has a charging power of 120kW, and the charging station is in an over-limit state, then the charging pile will actually provide 80kW or 40kW depending on the priority of the electric vehicle.

[0106] When the charging station is in normal working order, it provides the maximum charging power according to the vehicle's charging protocol.

[0107] When a charging station is in a power-limited state, this is often due to unstable external voltage, or high temperature of the charging station itself or the battery temperature of the electric vehicle. In this case, the charging station provides medium to low charging power, or even low power, according to the charging protocol of the vehicle.

[0108] When a charging station is in an over-limit state, this often occurs when the maximum power of the charging station is 120kW, while the charging power of the electric vehicle is equal to or even greater than 120kW, requiring continuous charging at 120kW, or when the charging temperature is abnormal, including the temperature of the charging station and the electric vehicle battery. Both of these can cause the charging station to be in an over-limit state.

[0109] The command module sends the power status of the charging station to each charging pile through the controller unit based on the power status of the charging station, and adjusts the given power of each charging pile according to the status, and sends the command to each charging pile.

[0110] The charging sorting module determines the priority of each electric vehicle corresponding to each charging pile, and then the charging control module adjusts in real time according to the actual charging signals of electric vehicles connecting and disconnecting, forming a dynamic sorting method to adjust the power of each charging pile according to priority order.

[0111] After an electric vehicle enters a charging station and connects to a charging pile, the power is allocated to the electric vehicle by the cluster control module in conjunction with the power status of the charging station, and the charging time is estimated.

[0112] It should be noted that if the charging power of an electric vehicle temporarily decreases due to grid factors or abnormal conditions caused by subsequent electric vehicles connecting to the charging station, its priority should be continuously increased as the expected charging time approaches to ensure its charging power and to guarantee that the electric vehicle reaches the expected charging time as much as possible.

[0113] By using a learning algorithm module, the data on electric vehicles entering and leaving the charging station, the power data of electric vehicles, and predictive information are combined to form big data. A formula model is then established, and the big data is used to optimize the formula model to ensure that the allocated power does not exceed the power supported by the actual number of available charging piles, and to control the power allocation priority between fast-charging and slow-charging vehicles.

[0114] like Figure 2 As shown, charging stations require power lines to be drawn from the power grid, and multiple charging stations need to be installed within the station. This depends on the actual construction standards and approval results. Figure 2 Eight sets of charging piles have been built in the area, namely the first charging pile, the second charging pile, the third charging pile, the fourth charging pile, the fifth charging pile, the sixth charging pile, the seventh charging pile, and the eighth charging pile.

[0115] like Figure 3 The diagram shows the input of the charging components of the charging pile corresponding to the three-phase AC power of the power grid. There are two sets of charging components: the PFC charging component and the DC-DC charging component. The DC-DC charging component is directly connected to the car battery.

[0116] The power factor correction (PFC) component is a circuit used to improve the system power factor. It enhances and protects the charging power through a voltage regulator, AC-DC / DC-DC controller, protection switch, and LDO regulator, and is connected to the system.

[0117] The system connects to an external Ethernet network for remote management. The system has built-in logic devices and memory for charging according to the set conditions.

[0118] The charging component is connected to a sensor via DC-DC converter, and the sensor feeds back the signal to the signal conditioning and controller, which then uses an amplifier to feed the sensor signal back to the system.

[0119] The components of a charging station can be found in the following reference: Figure 3 The circuit of the structural components can be optimized based on the actual situation.

[0120] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A charging power control system, characterized in that, Includes controller units, hierarchical control units, and collaborative control units; The controller unit includes a status determination module, a status classification module, and an instruction module; Status determination module: Determines the status of charging piles in the charging station at fixed time intervals, calculates the maximum power and actual power of the charging station and their sum, compares the maximum power of a single charging pile with the actual power, and compares the sum of the maximum power of the charging station with the sum of the actual power. Status classification module: Based on the comparison results, the power status of a single charging pile is classified into normal status, limited power status, and over-limit status, and the power status of the charging station is classified into normal status, limited power status, and over-limit status. Command module: When the power status of the charging station changes, the controller unit sends the power status of the charging station to each charging pile, calculates the given power of each charging pile based on the status, and then sends these given powers to each charging pile. The hierarchical control unit includes: a charging data module, a charging sequencing module, and a charging control module; Charging data module: Acquires real-time data to support dynamic sorting; Charging sequencing module: determines the priority order of connected electric vehicles; Charging control module: With the goal of smoothing load fluctuations, it controls the charging power of electric vehicles in real time according to the priority ranking results; Collaborative control unit: includes cluster control module and learning algorithm module; Cluster control module: Automatically distributes the total charging power of the charging station to each electric vehicle in the station, ensuring that the charging needs of each electric vehicle are met before the preset departure time; Learning algorithm module: The SAC algorithm is used to solve for the optimal charging power of the charging station in real time, while taking into account the prediction information and the number of available charging piles in the station to make the optimal decision.

2. The charging power control system according to claim 1, characterized in that, The status determination module divides the maximum power of a single charging pile by its actual power to form the percentage of the actual power of the single charging pile, and divides the sum of the maximum power of the charging stations by the sum of their actual power to form the percentage of the actual power of the charging stations.

3. The charging power control system according to claim 2, characterized in that, If the actual power of the charging pile is less than 90%, it is in a normal state. If the load on the entire charging station is too high or the charging pile temperature is too high, the charging pile will enter a power limiting state. If the actual power of the charging pile remains at 100%, the charging pile is in an over-limit state.

4. The charging power control system according to claim 2, characterized in that, If the actual power of a charging station is less than 80%, it is in a normal state. If the actual power of a charging station remains at 80% for a long time, it is in a power-limited state. If the actual power of a charging station is greater than 80%, the charging station is in an over-limit state.

5. The charging power control system according to claim 1, characterized in that, The cluster control module automatically distributes the overall charging power of the charging station to each electric vehicle in the station. When the power status of the charging station changes, the instruction module of the controller unit sends the power status of the charging station to each charging pile, and reallocates the given power of each charging pile according to the status, and then sends these given powers to each charging pile.

6. The charging power control system according to claim 1, characterized in that, The charging sorting module prioritizes existing and newly connected electric vehicles based on the total power of the charging station, the number of charging piles in use, and the charging power and voltage of newly connected electric vehicles. The charging control module then dynamically sorts the charging power according to the signals of the electric vehicles connected to the charging piles, thus dynamically adjusting the power of each charging pile according to its priority.

7. The charging power control system according to claim 1, characterized in that, A license plate recognition gate is set up at the entrance of the charging station. The number of vehicles entering the charging station can be counted through the license plate recognition gate. Based on the number of charging piles in the charging station, the number of vehicles entering the charging station, and the charging protocol of the electric vehicle itself, the power is allocated to each electric vehicle using the cluster control module.

8. A charging power control method, applied to the charging power control system according to any one of claims 1-7, characterized in that, include: S1: Electric vehicles enter the charging station through the license plate recognition gate, connect the electric vehicle to the charging pile, and collect the charging data of the connected electric vehicle through the charging data module using the charging protocol, including the charging voltage and charging power of the vehicle. S2: The load of the charging pile and the charging station is determined by comparing the maximum power and actual power of the charging pile with the sum of the maximum power and the sum of the actual power of the charging station after the charging pile is connected, and then the status classification module classifies the status of the charging pile and the charging station. S21, Charging station status is: When the charging station is in normal operation, it provides the maximum charging power to all charging piles according to the vehicle's charging protocol. When a charging station is in a power-limited state, all charging piles provide charging power according to priority order; When a charging station is in an over-limit state, all charging piles will provide medium to high charging power according to priority order, and charging requests from newly connected electric vehicles will be suspended. S22, The charging pile status is: When the charging station is in normal working order, it provides the maximum charging power according to the vehicle's charging protocol. When the charging station is in a power-limited state, the charging station will provide medium to low power charging according to the vehicle's charging protocol. When a charging station is in an over-limit state, the maximum charging power of the charging station is limited and the charging power is reduced periodically. S3: Based on the power status of the charging station, the command module sends the power status of the charging station to each charging pile through the controller unit, calculates the given power of each charging pile based on the status, and sends the command to each charging pile. S4: The priority of each electric vehicle corresponding to each charging pile is determined by the charging sorting module, and then the charging control module adjusts in real time according to the actual charging signals of electric vehicles connecting and disconnecting, forming a dynamic sorting method to adjust the power of each charging pile according to the priority order. S5: S5 and S1 are parallel. After an electric vehicle enters the charging station and connects to the charging pile, the power is allocated to the electric vehicle by the cluster control module in combination with the power status of the charging station, and the charging time is estimated. S6: Through the learning algorithm module, the data of electric vehicles entering and leaving the charging station, the power data of electric vehicles, and the prediction information are formed into big data. A formula model is established, and then the big data is used to optimize the formula model to ensure that the allocated power does not exceed the power supported by the actual number of charging piles available, and to control the power allocation priority between fast charging and slow charging vehicles.

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