Charging power control method and system

Abstract

The invention belongs to the technical field of power supply and distribution, and particularly relates to a charging power control method and system, and the system comprises a controller unit, a hierarchical control unit and a cooperative control unit. According to the method, the ratio of the sum of the actual power of the charging station to the sum of the maximum power and the ratio of the actual power of any charging pile to the maximum power are evaluated, and the charging station and any charging pile are divided into three states, namely the normal state, the power limiting state and the over-limit state; the three states represent the conditions of the charging piles or the charging stations respectively, power is distributed according to the three states of the charging stations and the three states of any charging pile specifically through the hierarchical control unit and the cooperative control unit, the situation that the stability of a regional power grid is affected by the charging stations is avoided, and the stability of the regional power grid is improved. And meanwhile, pre-estimated distribution adjustment is performed on the load of the charging station, so that potential safety hazards caused by rapid rise of the load power are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply and distribution, and in particular to a charging power control method and system. Background Art

[0002] The charging power control method refers to adjusting and managing the charging power of electric vehicles or other equipment through certain technical means and strategies to meet the needs of different scenarios, such as the following two existing patents.

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

[0004] However, during the construction of each charging pile in the charging station, regardless of whether it is equipped with multiple charging guns, the total power of the charging pile is certain, and due to the large difference in peak and valley electricity prices, or concentrated travel time, the charging time of vehicles in the charging station is often concentrated. For example, in residential areas, it is often from 6 pm to 2 am, or in industrial areas, from 8 am to 11 am, which are the times when electric vehicles are more concentrated. Due to the different models of cars, their charging power and charging voltage are different. If the charging power cannot be adjusted reasonably, it will often lead to excessive power in the charging station, resulting in the power grid limiting the voltage of the charging station, or the frequency of charging that can be completed during the concentrated charging time is low, affecting the charging efficiency of electric vehicles.

[0005] Alternatively, when installing charging stations in residential areas, one often faces the load pressure on the residential area power grid during centralized charging. If the priority cannot be set reasonably to ensure that the connected electric vehicles can complete charging quickly, if the connected electric vehicles fail to complete charging and new electric vehicles that need to be charged are connected, the charging load will be further increased, thereby affecting the charging efficiency of the entire 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 technical problems. Summary of the invention

[0007] In order to solve the above technical problems, the present invention provides a charging power control system, including a controller unit, a hierarchical control unit and a collaborative control unit;

[0008] A controller unit, comprising a state determination module, a state classification module and an instruction module;

[0009] Status determination module: determines the status of charging piles in the charging station at a fixed time period, calculates the maximum power of the charging station and 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] State classification module: according to the comparison results, the power state of a single charging pile is divided into normal state, limited power state and over-limit state, and the power state of a charging station is divided into normal state, limited power state and over-limit state;

[0011] Instruction 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 the given power 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: obtains real-time data to provide support for dynamic sorting;

[0014] Charging sequencing module: determines the priority order for 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 sorting results;

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

[0017] Cluster control module: automatically distributes the overall 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: Uses the SAC algorithm to solve the optimal charging power of the charging station in real time, while considering factors such as prediction information and the number of idle charging piles in the current station to make the best decision.

[0019] Preferably, the state determination module divides the maximum power of a single charging pile by the actual power to form the proportion 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 proportion of the actual power of the charging stations.

[0020] Preferably, if the proportion of the actual power of the charging pile is <90%, it is in a normal state. If the load on the entire charging station is too large, or the charging temperature of the charging pile is detected to be too high, the charging pile enters a power limiting state. If the proportion of the actual power of the charging pile continues to remain at 100%, the charging pile is in an over-limit state.

[0021] Preferably, if the actual power ratio of the charging station is less than 80%, it is in a normal state; if the actual power ratio of the charging station remains at 80% for a long time, it is in a limited power state; if the actual power ratio of the charging pile 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 state of the charging station changes, the command module of the controller unit sends the power state of the charging station to each charging pile, and reallocates the given power of each charging pile according to the state, and then sends the given power to each charging pile.

[0023] Preferably, the charging sorting module prioritizes the existing charging electric vehicles and the newly connected electric vehicles according to the total power of the charging station and the number of charging piles in use, combined with the charging power and charging voltage of the 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 in order of priority.

[0024] Preferably, a license plate recognition gate is provided at the entrance of the charging station, through which the number of vehicles entering the charging station can be calculated, and power is allocated to each electric vehicle using a cluster control module according to 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.

[0025] A charging power control method:

[0026] S1: The electric vehicle enters the charging station through the license plate recognition gate, connects the electric vehicle to the charging pile, and collects the charging data of the connected electric vehicle using the charging protocol through the charging data module, including the charging voltage and charging power of the vehicle;

[0027] S2: The state determination module compares the maximum power of the charging pile with the actual power, and after the charging pile is connected, the sum of the maximum power of the charging station is compared with the sum of the actual power of the charging station, and the load of the charging pile and the charging station is determined, and then the state classification module classifies the state of the charging pile and the charging station;

[0028] S21, the charging station status is:

[0029] When the charging station is in normal condition, it provides maximum charging power to all charging piles according to the charging protocol of the vehicle;

[0030] When the charging station is in the power-limited state, all charging piles provide charging power in order of priority;

[0031] When the charging station is in an over-limit state, all charging piles provide medium and high charging power according to the priority order, and suspend charging requests for new electric vehicles;

[0032] S22, charging pile status:

[0033] When the charging pile is in normal state, the charging pile provides the maximum charging power according to the charging protocol of the vehicle;

[0034] When the charging pile is in the limited power state, the charging pile provides low or medium power charging power for charging according to the charging protocol of the vehicle;

[0035] When the charging pile is in an over-limit state, the charging pile limits the maximum charging power and periodically reduces the charging power;

[0036] S3: The command module sends the power status of the charging station to each charging pile through the controller unit according to the power status of the charging station, calculates the given power of each charging pile according to the status, and sends the command to each charging pile;

[0037] S4: The priority of the electric vehicle corresponding to each charging pile is determined by the charging sorting module, and then the charging control module makes real-time adjustments according to the charging signals of the actual electric vehicle connection and disconnection, 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 the electric vehicle enters the charging station and connects to the charging pile, the cluster control module is combined with the power state of the charging station to distribute it to the electric vehicle, 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 electric vehicle power data, and the prediction information are formed into big data. By establishing a formula model, 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 that can be served, and to control the power allocation priority between fast-charging and slow-charging vehicles.

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

[0041] Beneficial effects:

[0042] 1. The present invention divides the charging station and any charging pile into three states, namely, normal state, power limit state and over-limit state, by evaluating the proportion of the sum of the actual power of the charging station to the sum of the maximum power, and the proportion of the actual power of any charging pile to the maximum power. The three states represent the situations of the charging pile or the charging station, respectively. Through the hierarchical control unit and the collaborative control unit, the power is allocated according to the three states of the charging station and the three states of any charging pile, which is conducive to avoiding the charging station from affecting the stability of the regional power grid. At the same time, the load of the charging station is estimated and adjusted to avoid the safety hazard caused by the rapid increase of load power.

[0043] 2. The charging sorting module and the charging control module of the present invention perform priority sorting according to the time, charging power and charging voltage of the electric vehicles connected to the charging pile through the sorting module. When the charging station is in an abnormal state, the charging of high-priority electric vehicles is completed first, and the charging control module cooperates with the charging sorting module through the electric control module. The charging control module adjusts the charging power according to the electric vehicle signal connected to the charging pile through dynamic sorting, forming a dynamic sorting method to adjust the power of each charging pile according to the priority order, which is beneficial to stabilizing the power load of the charging station, and at the same time increasing the frequency of charging completion within the concentrated charging time and improving the charging efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

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

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

[0048] Figure 5 A schematic diagram of dynamic priority adjustment in an embodiment of a charging power control method and system provided by the present invention. DETAILED DESCRIPTION

[0049] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Example

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

[0052] A controller unit, comprising a state determination module, a state classification module and an instruction module;

[0053] Status determination module: determines the status of charging piles in the charging station at a fixed time period, calculates the maximum power of the charging station and 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 the actual power to form the percentage of the actual power of the single charging pile. The percentage of the actual power of the charging station is formed by dividing the sum of the maximum power of the charging station by the sum of the actual power. In this way, the overall load of the charging station and the load of a specific charging pile can be viewed intuitively.

[0055] For example, for a charging car, its fast charging power is 120kw, and the actual charging power of the charging pile is 80kw, then the power of a single charging pile accounts for 66.66%; if the construction standard total power of a charging station is 3600kw, and the actual power of the charging station is 600kw, then the actual power of the charging station accounts for 16.66%.

[0056] State classification module: according to the comparison results, the power state of a single charging pile is divided into normal state, limited power state and over-limit state, and the power state of a charging station is divided into normal state, limited power state and over-limit state;

[0057] At present, the maximum power of charging piles can reach 350kw. In actual construction, the general charging piles are 120kw-240kw. The general charging power of new energy vehicles is between 40kw and 120kw, which is normal within this range. If the entire charging station is overloaded, or the charging temperature of the charging pile is detected to be too high, the single charging pile will enter the power limiting state. When the car charging power remains at the maximum charging power, the single charging pile is in an over-limit state. For example, the maximum charging power of the charging pile is 120kw, and the charging power continues to remain at 120kw.

[0058] If a charging station is 3600kw, and the power of the charging station is <2880kw or 3060kw (slightly different depending on the actual materials and construction standards of the charging station, the range is 80%-85% of the total power), it is in a normal state. When the power of the charging station is at 2880kw or 3060kw for a long time, it is in a limited power state. The power supply of the charging station usually comes from the power grid. If the power of the charging station is too large, it may cause excessive load on the power grid, affecting the stability and power supply quality of the power grid. When the power of the charging station is >2880kw or 3060kw, the charging station is in an over-limit state, which requires the regional power grid to be in a low-load state.

[0059] Instruction 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 the given power to each charging pile;

[0060] 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 command 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 the given power 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: obtains real-time data to provide support for dynamic sorting.

[0063] By collecting the data of the charging station in the charging station, we can know whether the charging pile is in the charging state. Through the charging protocol of the car, we can know the maximum charging power and voltage.

[0064] The charging protocol refers to a series of specifications and standards for communication and control between vehicles and charging piles during the charging process, ensuring the compatibility between electric vehicles and charging piles produced by different manufacturers, enabling users to charge at different charging facilities.

[0065] Charging sequencing module: Determines the priority order for connected electric vehicles.

[0066] Due to the differences in new energy vehicles, their charging power and voltage are different, which can be roughly divided into fast charging and slow charging. According to the total power of the charging station and the number of charging piles in use, if the charging station is in a power-restricted state, it is necessary to prioritize the connected electric vehicles, and give 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 charge faster relatively, allowing fast-charging vehicles to quickly charge and leave the charging station, which can ensure the liquidity of the charging station vehicles and reduce the time that the charging station is in a power-restricted state.

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

[0068] The charging control module mainly cooperates with the charging sorting module. The charging control module adjusts the charging power according to the electric vehicle signals connected to the charging piles through dynamic sorting, forming a dynamic sorting method to adjust the power of each charging pile in order of priority.

[0069] For example: two electric vehicles enter the charging station at the same time, one is a fast-charge electric vehicle and the other is a slow-charge electric vehicle. Both vehicles are connected to the charging pile at the same time. If the charging station is in a power-limited state, the fast-charge electric vehicle will be given priority. Figure 4 ;

[0070] Or: There is a slow-charging electric vehicle in the charging station that is about to reach the expected charging time, and a fast-charging electric vehicle enters the charging station and is connected to the charging pile. If the charging station is in a power-limited state, the slow-charging electric vehicle that is about to complete charging will be given priority.

[0071] Collaborative control unit

[0072] Cluster control module: automatically distributes the overall 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. According to 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 car with a slow charge of 40kw enters a charging station, if the charging station is in normal condition, the charging pile connected to the car can maintain 40kw power for charging;

[0075] If a slow-charging 40kw electric car enters the charging station, if the charging station is already in a power-limited state, it is necessary to reduce the charging power of the connected charging pile and maintain 20kw power for charging to ensure that other fast-charging electric cars are quickly charged and leave, and then increase the charging power of the slow-charging electric car;

[0076] Alternatively, if a 120kw fast-charging electric vehicle enters the charging station, if the charging station is already in a power-restricted state, and there is already a fast-charging electric vehicle and a slow-charging electric vehicle inside, and the slow-charging electric vehicle has a lower priority than the existing fast-charging electric vehicle, then priority will be given to ensuring that the existing fast-charging electric vehicle completes charging quickly. Since the slow-charging vehicle has been treated as downgraded, it is also necessary to ensure that it completes charging within the estimated charging time. Therefore, based on 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 >60min, priority will be given to ensuring the charging power of the newly connected fast-charging electric vehicle. If the estimated time for the slow-charging electric vehicle is <60min, the priority of the slow-charging electric vehicle will be increased to ensure the maximum power supply of the slow charging, quickly complete the slow-charging electric vehicle, and lower the priority of the newly connected 120kw fast-charging electric vehicle, and limit the charging power. For reference, Figure 5 .

[0077] Learning algorithm module: Uses the SAC algorithm to solve the optimal charging power of the charging station in real time, while considering factors such as prediction information and the number of idle charging piles in the current station to make the best decision.

[0078] In order to optimize the power distribution of charging stations more accurately, a more complex model can be considered, which not only considers the power requirements of fast-charging and slow-charging vehicles, but also takes into account the number of charging piles and possible grid constraints;

[0079] Assumptions:

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

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

[0082] N: The number of currently idle charging piles.

[0083] D: Total power demand of fast-charging vehicle.

[0084] C: Total power demand of slow-charging vehicle.

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

[0086] The formula is:

[0087]

[0088] Ntotal It is the total number of charging piles in the charging station.

[0089] Indicates the impact of the current idle charging pile ratio on the available power.

[0090] The formula is to multiply the total power P of the charging station by the proportion of currently idle charging piles to ensure that the allocated power does not exceed the power supported by the number of charging piles that can actually be served. At the same time, 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, and the real-time load of the power grid or other external factors are also considered. A power grid status factor β (0≤β≤1) is further 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 grid conditions are poor, the charging station will automatically reduce its output power to avoid placing too much burden on the grid.

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

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

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

[0097] The role of (,) here is to clearly distinguish 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] Establishing controller units, hierarchical control units and collaborative control units;

[0100] The electric vehicle enters the charging station through the license plate recognition gate, connects the electric vehicle to the charging pile, and uses the charging data module to collect the charging data of the connected electric vehicle using the charging protocol, including the charging voltage and charging power of the vehicle;

[0101] The state determination module compares the maximum power of the charging pile with the actual power, and after the charging pile is connected, the sum of the maximum power of the charging station is compared with the sum of the actual power of the charging station, and the load of the single charging pile and the charging station is determined, and then the state classification module classifies the state of the charging pile and the charging station;

[0102] When the charging station is in normal condition, it provides maximum charging power to all charging piles according to the charging protocol of the vehicle;

[0103] When the charging station is in the power-limited state, all charging piles provide charging power in order of priority;

[0104] When the charging station is in an over-limit state, all charging piles provide medium and high charging power according to the priority order, and suspend charging requests for new electric vehicles;

[0105] For example, if the charging power of a charging pile is 120 kW and the charging power of an electric vehicle is 120 kW, and the charging station is in an over-limit state, the charging pile actually provides 80 kW or 40 kW according to the priority of the electric vehicle.

[0106] When the charging pile is in normal state, the charging pile provides the maximum charging power according to the charging protocol of the vehicle;

[0107] When the charging pile is in the power-limited state, which is often caused by unstable external voltage, or high temperature of the charging pile itself or the battery temperature of the electric vehicle, the charging pile will provide medium or low charging power for charging according to the charging protocol of the vehicle, or even low power;

[0108] When the charging pile is in an over-limit state, in this case the maximum power of the charging pile is often 120kw, while the charging power of the electric car is equal to 120kw, or even greater than 120kw, and it is necessary to maintain 120kw charging continuously, or the charging temperature is abnormal, including the charging pile temperature and the electric car battery temperature, which will cause the charging pile 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 according to the power status of the charging station, and allocates the given power of each charging pile according to the status, and delegates the command to each charging pile;

[0110] The priority of the electric vehicle corresponding to each charging pile is determined by the charging sorting module, and then the charging control module makes real-time adjustments based on the charging signals of the actual electric vehicles connected and disconnected, forming a dynamic sorting method to adjust the power of each charging pile according to the priority order;

[0111] After the electric vehicle enters the charging station and connects to the charging pile, the cluster control module allocates power to the electric vehicle in combination with the power status of the charging station, and estimates the charging time;

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

[0113] Through the learning algorithm module, the data of electric vehicles entering and leaving the charging station, the electric vehicle power data, and the prediction information are formed into big data. By establishing a formula model, 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 that can be served, and the power allocation priority between fast-charging and slow-charging vehicles can be controlled.

[0114] like Figure 2 As shown, the charging station needs to pull out lines from the power grid to provide power, and install multiple charging stations in the charging station. According to the actual construction standards and approval results, Figure 2 Eight groups of charging piles are established, 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 three-phase AC power of the power grid corresponds to the charging component input of the charging pile. The charging components are two groups, the charging component PFC and the charging component DC-DC, and the charging component DC-DC is directly connected to the car battery;

[0116] The charging component PFC is a circuit used to improve the system power factor. It increases 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 is connected to an external Ethernet for remote management, and the system has built-in logic devices and memory for charging according to the set conditions;

[0118] The charging component DC-DC is connected to a sensor, and the sensor feedback signal is used to make the signal conditioning and controller feed the sensor signal back to the system through the amplifier;

[0119] The composition of the charging pile can refer to Figure 3 Establish, the circuit of structural components can be optimized according to actual conditions.

[0120] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A charging power control system, characterized in that: It includes a controller unit, a hierarchical control unit and a collaborative control unit; A controller unit, comprising a state determination module, a state classification module and an instruction module; Status determination module: determines the status of charging piles in the charging station at a fixed time period, calculates the maximum power and actual power of the charging station 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; State classification module: according to the comparison results, the power state of a single charging pile is divided into normal state, limited power state and over-limit state, and the power state of a charging station is divided into normal state, limited power state and over-limit state; Instruction 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 the given power 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: obtains real-time data to provide support for dynamic sorting; Charging sequencing module: determines the priority order for 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 sorting results; Collaborative control unit: including cluster control module and learning algorithm module; Cluster control module: automatically distributes the overall 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: Uses the SAC algorithm to solve the optimal charging power of the charging station in real time, while taking into account the prediction information and the number of idle charging piles in the current station to make the best decision.

2. The charging power control system according to claim 1, characterized in that: The state determination module divides the maximum power of a single charging pile by the actual power to form the proportion of the actual power of the single charging pile, and divides the sum of the maximum power of the charging station by the sum of the actual power to form the proportion of the actual power of the charging station.

3. The charging power control system according to claim 2, characterized in that: If the actual power ratio of the charging pile is less than 90%, it is in normal state. If the entire charging station is overloaded or the charging temperature of the charging pile is detected to be too high, the charging pile will enter the power limiting state. If the actual power ratio of the charging pile continues to remain at 100%, the charging pile is in the over-limit state.

4. The charging power control system according to claim 2, characterized in that: If the actual power ratio of the charging station is less than 80%, it is in a normal state. If the actual power ratio of the charging station remains at 80% for a long time, it is in a limited power state. If the actual power ratio of the charging pile 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 command 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 the given power to each charging pile.

6. The charging power control system according to claim 1, characterized in that: The charging sorting module prioritizes the existing and newly connected electric vehicles according to the total power of the charging station and the number of charging piles in use, combined with the charging power and charging voltage of the 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 in order of priority.

7. The charging power control system according to claim 1, characterized in that: A license plate recognition gate is set at the entrance of the charging station. The number of vehicles entering the charging station can be calculated through the license plate recognition gate. According to 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 cluster control module is used to allocate power to each electric vehicle.

8. A charging power control method, applied to the charging power control system according to any one of claims 1 to 7, characterized in that: include: S1: The electric vehicle enters the charging station through the license plate recognition gate, connects the electric vehicle to the charging pile, and collects the charging data of the connected electric vehicle using the charging protocol through the charging data module, including the charging voltage and charging power of the vehicle; S2: The state determination module compares the maximum power of the charging pile with the actual power, and after the charging pile is connected, the sum of the maximum power of the charging station with the sum of the actual power, to determine the load of the charging pile and the charging station, and then the state classification module classifies the state of the charging pile and the charging station; S21, the charging station status is: When the charging station is in normal condition, it provides maximum charging power to all charging piles according to the charging protocol of the vehicle; When the charging station is in the power-limited state, all charging piles provide charging power in order of priority; When the charging station is in an over-limit state, all charging piles provide medium and high charging power according to the priority order, and suspend charging requests for new electric vehicles; S22, charging pile status: When the charging pile is in normal state, the charging pile provides the maximum charging power according to the charging protocol of the vehicle; When the charging pile is in the limited power state, the charging pile provides low or medium power charging power for charging according to the charging protocol of the vehicle; When the charging pile is in an over-limit state, the charging pile limits the maximum charging power and periodically reduces the charging power; S3: The command module sends the power status of the charging station to each charging pile through the controller unit according to the power status of the charging station, calculates the given power of each charging pile according to the status, and sends the command to each charging pile; S4: The priority of the electric vehicle corresponding to each charging pile is determined by the charging sorting module, and then the charging control module makes real-time adjustments according to the charging signals of the actual electric vehicle connection and disconnection, 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 the electric vehicle enters the charging station and connects to the charging pile, the cluster control module is combined with the power state of the charging station to distribute it to the electric vehicle, and the charging time is estimated; S6: Through the learning algorithm module, the data of electric vehicles entering and leaving the charging station, the electric vehicle power data, and the prediction information are formed into big data. By establishing a formula model, 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 that can be served, and to control the power allocation priority between fast-charging and slow-charging vehicles.

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