Real-time power optimal allocation method and system in charging station, server, and medium

Abstract

The application discloses a real-time power optimal distribution method and system in a charging station, a server and a medium, and relates to the technical field of electric power. The method comprises the following steps: acquiring total instantaneous power provided by the charging station at a scheduling moment and an upper limit of chargeable power of each vehicle connected to the charging station; when the total instantaneous power is smaller than the sum of all upper limits of chargeable power, establishing a minimum average charging time rate target function; acquiring actual charging power of the vehicle connected to the charging station at the scheduling moment; determining a constraint condition according to the total instantaneous power, the actual charging power and the upper limit of chargeable power; and under the constraint condition, calculating the actual charging power of each electric vehicle and distributing the actual charging power by using the minimum average charging time rate target function. By minimizing the average charging time rate, the electric vehicle can perform charging behavior within the range of the respective allowable charging power limit, that is, the actual charging power of each electric vehicle connected to the charging station is reasonably distributed.

Description

Technical Field

[0001] This invention generally relates to the field of power technology, and specifically to a method, system, server, and medium for real-time optimal power allocation within a charging station. Background Technology

[0002] Currently, due to the limitations of the charging power allocation schemes available at charging stations, different implementation methods exist depending on the focus. These include: 1. Charging electric vehicles with a higher charging power limit within the charging pile are charged at their maximum charging power until the charging station's maximum charging power is reached, while other electric vehicles do not charge; 2. The instantaneous power available at the charging station is evenly distributed based on the number of electric vehicles connected to the charging pile. While these two allocation schemes are simple in rules and relatively convenient to implement, in practice, the actual charging effect for electric vehicles is poor, and the actual charging time is significantly longer, negatively impacting the user experience. Therefore, we propose a real-time optimal power allocation method, system, server, and medium within charging stations to address these issues. Summary of the Invention

[0003] In view of the above-mentioned defects or deficiencies in the existing technology, it is desirable to provide a method, system, server and medium for real-time optimal power allocation within a charging station that maximizes the operating efficiency of the charging station, optimizes the user experience, and is highly versatile.

[0004] In a first aspect, the present invention provides a method for real-time optimal power allocation within a charging station, comprising the following steps:

[0005] Obtain the total instantaneous power provided by the charging station at the scheduling time, and the upper limit of the rechargeable power of each vehicle connected to the charging station;

[0006] When the total instantaneous power is less than the sum of all the upper limits of rechargeable power, a target function for minimizing the average charging time ratio is established.

[0007] Obtain the actual charging power of the vehicles connected to the charging station at the scheduling time;

[0008] The constraints are determined based on the total instantaneous power, the actual charging power, and the upper limit of the rechargeable power.

[0009] Under the constraints, the actual charging power of each electric vehicle connected to the charging station is calculated and allocated using the objective function of minimizing the average charging time ratio.

[0010] According to the technical solution provided by the embodiments of the present invention, the objective function for minimizing the average charging time ratio is expressed by formula (I):

[0011]

[0012] Where N is the total number of vehicles connected to the charging station, and P i (t) represents the actual charging power of the i-th vehicle connected to the charging station at scheduling time t, P i max S represents the upper limit of the charging power available to the i-th vehicle connected to the charging station. i (t) represents the charging demand of the i-th vehicle connected to the charging station at scheduling time t. For the i-th vehicle connected to the charging station, the actual charging power P i Charging time under (t), The charging time for the i-th vehicle connected to the charging station, at its maximum rechargeable power. The charging time multiplier for the i-th vehicle connected to the charging station.

[0013] According to the technical solution provided by the embodiments of the present invention, the constraint condition is expressed by formula (ii):

[0014]

[0015] in, This is the sum of the actual charging power of all vehicles connected to the charging station at the dispatch time t. Let be the total instantaneous power provided by the charging station at scheduling time t.

[0016] According to the technical solution provided by the embodiments of the present invention, after obtaining the total instantaneous power provided by the charging station at the scheduling time and the upper limit of the rechargeable power of each vehicle connected to the charging station, and before determining that the total instantaneous power is less than the sum of all the upper limits of the rechargeable power, the method further includes the following steps:

[0017] When the total instantaneous power is determined to be greater than or equal to the sum of all the upper limits of rechargeable power, the actual charging power of each vehicle connected to the charging station at the scheduling time is the upper limit of rechargeable power corresponding to each vehicle.

[0018] According to the technical solution provided by the embodiments of the present invention, after obtaining the total instantaneous power provided by the charging station at the scheduling time and the upper limit of the rechargeable power of each vehicle connected to the charging station, and before establishing the objective function for minimizing the average charging time ratio, the following steps are further included:

[0019] Obtain the current charging time multiplier for each vehicle connected to the charging station; the current charging time multiplier is the charging time multiplier calculated for the vehicle at the time preceding the scheduling time.

[0020] Filter out cars whose current charging time multiplier is greater than the preset charging time multiplier to obtain the first set;

[0021] Filter out cars whose current charging time multiplier is less than or equal to the preset charging time multiplier to obtain the second set;

[0022] At the scheduling time, the charging power corresponding to the current charging duration ratio of each vehicle in the second set is the actual charging power;

[0023] The remaining instantaneous power is calculated based on the total instantaneous power and the actual charging power of each vehicle in the second set;

[0024] When the remaining instantaneous power is determined to be less than the sum of the upper limits of all rechargeable power in the first set, an objective function is established to minimize the average charging time ratio.

[0025] According to the technical solution provided by the embodiments of the present invention, after calculating the remaining instantaneous power and before determining that the remaining instantaneous power is less than the sum of the upper limits of all rechargeable power in the first set, the method further includes the following steps:

[0026] When the remaining instantaneous power is determined to be greater than the sum of the upper limits of all rechargeable power in the first set, the actual charging power of each vehicle connected to the charging station at the scheduling time is the upper limit of the rechargeable power corresponding to each vehicle.

[0027] Secondly, the present invention provides a real-time power optimal allocation system within a charging station, implemented based on the aforementioned real-time power optimal allocation method within a charging station, the system comprising:

[0028] The data acquisition module is configured to acquire the total instantaneous power provided by the charging station at the scheduling time, as well as the upper limit of the rechargeable power of each vehicle connected to the charging station.

[0029] The processing module is configured to establish a target function that minimizes the average charging time ratio when it determines that the total instantaneous power is less than the sum of all the upper limits of the rechargeable power.

[0030] Obtain the actual charging power of the vehicles connected to the charging station at the scheduling time;

[0031] The constraints are determined based on the total instantaneous power, the actual charging power, and the upper limit of the rechargeable power.

[0032] Under the constraints, the actual charging power of each electric vehicle connected to the charging station is calculated and allocated using the objective function of minimizing the average charging time ratio.

[0033] Thirdly, the present invention provides a server, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for real-time optimal power allocation within a charging station.

[0034] Fourthly, the present invention provides a computer-readable storage medium having a computer program, which, when executed by a processor, implements the steps of the above-described method for real-time optimal power allocation within a charging station.

[0035] In summary, this invention specifically discloses a detailed process for a real-time optimal power allocation method within a charging station. This invention obtains the total instantaneous power provided by the charging station at the scheduling time, and the upper limit of the rechargeable power for each vehicle connected to the charging station; determines that when the total instantaneous power is less than the sum of all the upper limits of rechargeable power, it establishes a minimum average charging time ratio objective function; obtains the actual charging power of the vehicles connected to the charging station at the scheduling time; determines constraints based on the total instantaneous power, actual charging power, and upper limit of rechargeable power; and, under these constraints, calculates and allocates the actual charging power of each electric vehicle connected to the charging station using the minimum average charging time ratio objective function.

[0036] This invention optimizes the charging time ratio of electric vehicles and rationally allocates the actual charging power of each vehicle connected to the charging station, allowing all electric vehicles in the station to charge within their respective allowable charging power limits, thereby maximizing the operating efficiency of the charging station and optimizing the user experience. Attached Figure Description

[0037] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings.

[0038] Figure 1 This is a flowchart illustrating the method for real-time optimal power allocation within a charging station.

[0039] Figure 2 This is a schematic diagram of a real-time optimal power allocation system within a charging station.

[0040] Figure 3 This is a schematic diagram of the server-side principle.

[0041] Figure 4 This is a schematic diagram of power flow.

[0042] The diagram shows: 1. Acquisition module; 2. Processing module;

[0043] 500. Server; 501. CPU; 502. ROM; 503. RAM; 504. Bus; 505. I / O interface; 506. Input section; 507. Output section; 508. Storage section; 509. Communication section; 510. Driver; 511. Removable media. Detailed Implementation

[0044] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0045] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0046] Example 1

[0047] like Figure 4 As shown, the power distribution control center can obtain the power of the charging stations connected to the power distribution control center and can adjust the power of the corresponding charging stations. The charging station is connected to multiple charging piles, and the charging station can allocate appropriate power to the corresponding charging piles. In the figure, the horizontal line represents the power flow, and the arrow indicates the direction of the power flow.

[0048] Please refer to Figure 1 The flowchart shown is a first embodiment of the real-time optimal power allocation method in a charging station provided by the present invention, which includes the following steps:

[0049] S10. Obtain the total instantaneous power provided by the charging station at the scheduling time, and the upper limit of the rechargeable power of each vehicle connected to the charging station; wherein, the scheduling time refers to the time when the distribution network control center sends the scheduling instruction to the charging station; the vehicles connected to the charging station refer to the vehicles connected to the charging piles connected to the charging station.

[0050] S20. When the total instantaneous power is less than the sum of all the upper limits of rechargeable power, establish an objective function that minimizes the average charging time rate.

[0051] Specifically, the objective function for minimizing the average charging time ratio is expressed by formula (I):

[0052]

[0053] Where N is the total number of vehicles connected to the charging station, and P i (t) represents the actual charging power of the i-th vehicle connected to the charging station at scheduling time t, P i maxS represents the upper limit of the charging power available to the i-th vehicle connected to the charging station. i (t) represents the charging demand of the i-th vehicle connected to the charging station at scheduling time t. For the i-th vehicle connected to the charging station, the actual charging power P i Charging time under (t), The charging time for the i-th vehicle connected to the charging station, at its maximum rechargeable power. The charging time multiplier for the i-th vehicle connected to the charging station.

[0054] S30. Obtain the actual charging power of the vehicles connected to the charging station at the dispatch time;

[0055] S40. Determine the constraints based on the total instantaneous power, actual charging power, and upper limit of rechargeable power;

[0056] Specifically, the constraint conditions are expressed according to formula (II):

[0057]

[0058] in, This is the sum of the actual charging power of all vehicles connected to the charging station at the dispatch time t. Let be the total instantaneous power provided by the charging station at scheduling time t.

[0059] Here, the above constraints are used to ensure that the actual charging power allocated to the vehicle accessing the charging station at the scheduling time does not exceed the upper limit of the charging power of the corresponding vehicle, and that the sum of the actual charging power allocated to all vehicles accessing the charging station at the scheduling time does not exceed the total instantaneous power that the charging station can provide.

[0060] S50. Under constraints, calculate and allocate the actual charging power of each electric vehicle connected to the charging station according to the objective function of minimizing the average charging time ratio.

[0061] Through the above allocation process, each electric vehicle connected to the charging station can be allocated a reasonable actual charging power at the scheduling time, and the charging station charges the vehicles according to the aforementioned actual charging power at the scheduling time, thereby optimizing the charging time and ensuring the maximum operating efficiency of the charging station.

[0062] Furthermore, after obtaining the total instantaneous power provided by the charging station at the scheduling time and the upper limit of the rechargeable power of each vehicle connected to the charging station, before determining that the total instantaneous power is less than the sum of all the upper limits of rechargeable power, the following steps are also included:

[0063] When the total instantaneous power is greater than or equal to the sum of all the maximum rechargeable power values, the actual charging power of each vehicle connected to the charging station at the scheduling time is the maximum rechargeable power value corresponding to each vehicle. That is, when the total instantaneous power of the charging station is greater than or equal to the sum of all the maximum rechargeable power values ​​at the scheduling time, the maximum rechargeable power value of each vehicle connected to the charging station is the actual charging power of that vehicle. The actual charging power of each vehicle is equal to the maximum rechargeable power value of that vehicle, and the sum of the actual charging power of all vehicles does not exceed the total instantaneous power of the charging station. At this time, there is no need to perform calculations according to the above formula, so that the charging power of each vehicle can be reasonably allocated and the charging time can be optimized.

[0064] Specifically, taking an electric vehicle charging station in a highway service area as an example, the station has 4 charging piles. Four electric vehicles are randomly selected to connect to the charging station for charging at a certain time. The maximum charging power that each electric vehicle can accept is 10kW, 15kW, 25kW and 45kW, respectively, and they are numbered as vehicle 1, vehicle 2, vehicle 3 and vehicle 4. The power distribution control center issues a guidance charging power of 60kW to the charging station, that is, the instantaneous power that the charging station can provide is 60kW. The power is allocated according to the two allocation methods in the background art and the technical solution of the present invention, and the data information shown in Table 1 is obtained. In Table 1, scheme (1) refers to the first allocation method in the background art, scheme (2) refers to the second allocation method in the background art, and scheme (3) refers to the allocation method of the present invention. The average charging time ratio is the average value of the charging time ratio calculated according to the objective function, and the maximum charging time ratio is calculated according to the objective function.

[0065] Table 1. Effects of different power allocation schemes within the station

[0066]

[0067] As shown in Table 1, under scheme (1), electric vehicles numbered 1 and 2 are not allocated power for charging, which directly leads to the charging time of electric vehicles without allocated power being extended indefinitely. Under scheme (2), different electric vehicles are allocated the same charging power, of which the 15kW allocated to vehicle 1 completely exceeds the maximum allowed charging power limit of 10kW for that electric vehicle, affecting the health of the battery of that electric vehicle and wasting power. Under scheme (3), each electric vehicle can charge within its own allowed charging power limit.

[0068] By comparing the average charging time ratio and the maximum charging time ratio under three different schemes, it can be seen that under the implementation of the real-time optimal power allocation strategy in the charging station that takes into account the user's average charging time ratio proposed in this invention, both the average charging time ratio and the maximum charging time ratio are optimal in the comparison results of the three strategies. This proves the effectiveness of the power allocation strategy proposed in this invention, which can optimize the user experience and has strong versatility.

[0069] Furthermore, to improve the user experience, after obtaining the total instantaneous power provided by the charging station at the scheduling time and the upper limit of the rechargeable power of each vehicle connected to the charging station, and before establishing the objective function to minimize the average charging time ratio, the following steps are also included:

[0070] Get the current charging duration ratio of each vehicle connected to the charging station; the current charging duration ratio is the charging duration ratio calculated for the vehicle at the time before the scheduling time.

[0071] The system filters out vehicles whose current charging time multiplier is greater than the preset charging time multiplier to obtain a first set. The first set includes: vehicle number and the upper limit of rechargeable power corresponding to the vehicle number. The vehicle number and the number of the charging pile connected to the vehicle are consistent, which makes it easy for the charging station to accurately locate the vehicle.

[0072] Here, the preset charging time multiplier is, for example, 0.5; it can be set according to the user's actual needs.

[0073] The system filters out vehicles whose current charging time multiplier is less than or equal to the preset charging time multiplier to obtain a second set. The second set includes: vehicle number and the upper limit of rechargeable power corresponding to the vehicle number. Similarly, the vehicle number and the number of the charging pile connected to the vehicle are consistent, which makes it easy for the charging station to accurately locate the vehicle.

[0074] The division into the first and second sets mentioned above is to screen out cars that are about to be fully charged, so as to improve the user experience. At the same time, it allows for a reasonable allocation of charging time ratios and charging power for cars that will not be fully charged quickly.

[0075] At the scheduled time, the charging power corresponding to the current charging duration ratio of each car in the second set is the actual charging power; allowing cars that are about to be fully charged to continue charging at the current charging power improves the user experience.

[0076] The remaining instantaneous power is calculated based on the total instantaneous power and the actual charging power of each car in the second set; that is, the remaining instantaneous power is obtained by subtracting the total instantaneous power from the sum of the actual charging power of all cars in the second set.

[0077] When the remaining instantaneous power is less than the sum of the upper limits of all rechargeable power in the first set, a target function for minimizing the average charging time ratio is established; that is, the actual charging power and charging time ratio of the cars in the first set are calculated according to the process of steps S10-S50, so that the actual charging power and charging time ratio of the cars in the first set are optimally allocated.

[0078] Furthermore, after obtaining the current charging time multiplier for each vehicle connected to the charging station, and before filtering for vehicles with a current charging time multiplier greater than a preset charging time multiplier, the following steps are also included:

[0079] When the remaining instantaneous power is greater than the sum of the upper limits of all rechargeable power in the first set, the charging power corresponding to the current charging duration multiplier of each car in the second set at the scheduling time is the actual charging power. That is, when the remaining instantaneous power is greater than or equal to the sum of the upper limits of all rechargeable power at the scheduling time, the upper limit of the rechargeable power of each car in the second set is the actual charging power of that car. The actual charging power of each car is equal to the upper limit of the rechargeable power of that car, and the sum of the actual charging power of all cars in the second set does not exceed the remaining instantaneous power. At this time, there is no need to perform calculations according to the above formula, so that the charging power of each car can be reasonably allocated and the charging time can be optimized.

[0080] Example 2

[0081] like Figure 2 As shown, the present invention also provides a real-time power optimal allocation system within a charging station, implemented based on the real-time power optimal allocation method within a charging station described in Embodiment 1. The system includes:

[0082] The data acquisition module 1 is configured to acquire the total instantaneous power provided by the charging station at the scheduling time, as well as the upper limit of the rechargeable power of each vehicle connected to the charging station.

[0083] Processing module 2 is configured to establish a target function that minimizes the average charging time rate when the total instantaneous power is less than the sum of all the upper limits of rechargeable power.

[0084] Obtain the actual charging power of the vehicles connected to the charging station at the dispatch time;

[0085] Based on the total instantaneous power, actual charging power, and upper limit of rechargeable power, constraints are determined. Under these constraints, the actual charging power of each electric vehicle connected to the charging station is calculated and allocated using the objective function of minimizing the average charging time ratio.

[0086] Among them, the type of acquisition module 1 is, for example, a multi-functional power measurement instrument ZH-40244-14F2; the type of processing module 2 is, for example, a Core i9-9880XE processor.

[0087] Example 3

[0088] A server includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of a real-time power optimal allocation method within a charging station as described in the above embodiments.

[0089] In this embodiment, as Figure 3 As shown, the server 500 includes a CPU (Central Processing Unit) 501, which can perform various appropriate actions and processes based on programs stored in ROM (Read-Only Memory) 502 or programs loaded from storage into RAM (Random Access Memory) 503. RAM 503 also stores various programs and data required for system operation. The CPU 501, ROM 502, and RAM 503 are interconnected via a bus 504. An I / O (Input / Output) interface 505 is also connected to the bus 504.

[0090] The following components are connected to I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive is also connected to I / O interface 505 as needed. A removable medium 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 510 as needed so that computer programs read from it can be installed into storage section 508 as needed.

[0091] In particular, according to embodiments of the present invention, the above-described reference process Figure 1 The described process can be implemented as a computer software program. For example, Embodiment 3 of the present invention includes a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication component, and / or installed from a removable medium. When the computer program is executed by the CPU (Central Processing Unit) 501, it performs the functions defined in the system of the present invention.

[0092] It should be noted that the computer-readable medium shown in this invention can be a computer-readable signal medium, a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, RAM (random access memory), ROM (read-only memory), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0093] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0094] The units described in the embodiments of the present invention can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself. The described units or modules can also be located in a processor; for example, a processor can be described as including a first generation module, an acquisition module, a search module, a second generation module, and a merging module. The names of these units or modules do not necessarily limit the specific unit or module itself; for example, the acquisition module can also be described as "an acquisition module for acquiring multiple instances to be probed in the base table".

[0095] Example 4

[0096] The present invention also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or it may exist independently and not assembled into the electronic device. The computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to implement a real-time optimal power allocation method within a charging station as described in the above embodiments.

[0097] The above description is merely a preferred embodiment of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention is not limited to the specific combination of the above-described technical features, but also includes other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in this invention.

Claims

1. A method for real-time optimal power allocation within a charging station, characterized in that, Includes the following steps: Obtain the total instantaneous power provided by the charging station at the scheduling time, and the upper limit of the rechargeable power of each vehicle connected to the charging station; When the total instantaneous power is less than the sum of all the upper limits of rechargeable power, a target function for minimizing the average charging time ratio is established. Obtain the actual charging power of the vehicles connected to the charging station at the scheduling time; The constraints are determined based on the total instantaneous power, the actual charging power, and the upper limit of the rechargeable power. Under the constraints, the actual charging power of each electric vehicle connected to the charging station is calculated and allocated using the objective function of minimizing the average charging time ratio; After obtaining the total instantaneous power provided by the charging station at the scheduling time, and the upper limit of the rechargeable power of each vehicle connected to the charging station, before establishing the objective function to minimize the average charging time ratio, the following steps are also included: Obtain the current charging time multiplier for each vehicle connected to the charging station; the current charging time multiplier is the charging time multiplier calculated for the vehicle at the time preceding the scheduling time. Cars with a current charging duration ratio greater than a preset charging duration ratio are selected to form a first set; cars with a current charging duration ratio less than or equal to the preset charging duration ratio are selected to form a second set; at the scheduling time, the charging power corresponding to the current charging duration ratio of each car in the second set is the actual charging power; the remaining instantaneous power is calculated based on the total instantaneous power and the actual charging power of each car in the second set. When it is determined that the remaining instantaneous power is greater than the sum of the upper limits of all rechargeable power in the first set, the actual charging power of each vehicle connected to the charging station at the scheduling time is the upper limit of the rechargeable power corresponding to each vehicle. When the remaining instantaneous power is determined to be less than the sum of the upper limits of all rechargeable power in the first set, an objective function is established to minimize the average charging time ratio.

2. The method for real-time optimal power allocation within a charging station according to claim 1, characterized in that, The objective function for minimizing the average charging time ratio is expressed by formula (I): ； (one) in, N The total number of vehicles connected to the charging station. The first charging station connected i A car at the dispatch time t The actual charging power at that time The first charging station connected i The maximum rechargeable power of a car. The first charging station connected i A car at the dispatch time t Under the charging demand, The first charging station connected i The actual charging power of the car The charging time is below. The first charging station connected i The charging time of a vehicle at its maximum rechargeable power. The first charging station connected i The charging time multiplier for each vehicle.

3. The method for real-time optimal power allocation within a charging station according to claim 1, characterized in that, The constraint conditions are expressed according to Formula (II): ;(two) in, For all vehicles connected to the charging station during the dispatch time t The sum of the actual charging power under the given conditions. In order to schedule t The total instantaneous power provided by the next charging station. Let be the actual charging power of the i-th vehicle connected to the charging station at scheduling time t. This represents the upper limit of the rechargeable power for the i-th vehicle connected to the charging station.

4. The method for real-time optimal power allocation within a charging station according to claim 1, characterized in that, After obtaining the total instantaneous power provided by the charging station at the scheduling time and the upper limit of the rechargeable power for each vehicle connected to the charging station, and before determining that the total instantaneous power is less than the sum of all the upper limits of the rechargeable power, the following steps are also included: When the total instantaneous power is determined to be greater than or equal to the sum of all the upper limits of rechargeable power, the actual charging power of each vehicle connected to the charging station at the scheduling time is the upper limit of rechargeable power corresponding to each vehicle.

5. A real-time power optimal allocation system within a charging station, implemented based on the real-time power optimal allocation method within a charging station as described in any one of claims 1 to 4, characterized in that, The system includes: The data acquisition module is configured to acquire the total instantaneous power provided by the charging station at the scheduling time, as well as the upper limit of the rechargeable power of each vehicle connected to the charging station. The processing module is configured to establish a target function that minimizes the average charging time ratio when it determines that the total instantaneous power is less than the sum of all the upper limits of the rechargeable power. Obtain the actual charging power of the vehicles connected to the charging station at the scheduling time; The constraints are determined based on the total instantaneous power, the actual charging power, and the upper limit of the rechargeable power. Under the constraints, the actual charging power of each electric vehicle connected to the charging station is calculated and allocated using the objective function of minimizing the average charging time ratio.

6. A server, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the real-time power optimal allocation method in a charging station as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the real-time power optimal allocation method in a charging station as described in any one of claims 1 to 4.

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