A dynamic power allocation method for a new energy charging module

Abstract

The present invention discloses a dynamic power allocation method for a new energy charging module, which relates to the technical field of electric vehicle power allocation, and includes the following steps: S1, determining the charging power allocation corresponding to the priority of the electric vehicle; S2, adjusting the charging power allocation of the electric vehicle and the state of the electric vehicle in real time; S3, classifying the charged electric vehicles; S4, dynamically adjusting the power allocation of the charging module. The present invention can selectively power the charging module of the charging pile according to the type of electric vehicle by classifying the charged electric vehicles into controllable electric vehicles and uncontrollable electric vehicles. For controllable electric vehicles, the utilization rate of the charging station can be improved while the charging module does not exceed the rated power. For uncontrollable electric vehicles, the power output of the charging module is dynamically adjusted through a rotation allocation strategy to reduce the loss of each charging module, which can greatly meet the needs of users and improve the stability of the equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle power distribution, in particular to a dynamic power distribution method for a new energy charging module. Background Art

[0002] With the rapid development of new energy vehicles, various automobile manufacturers are competing to launch new energy vehicles, so there is a lot of demand for charging new energy vehicles with charging piles. With the rapid development of the new energy vehicle industry, electric vehicles have gradually become the main force of my country's automobile development, and the charging demand for electric vehicles is also increasing. Traditional charging piles make the charging efficiency of new energy electric vehicles low. With the increasing number of electric vehicles and the rapid increase in electricity consumption, the Chinese patent with application number 202310094673.7 discloses "a method and system for dynamically allocating charging power for electric vehicles, involving the technical field of electric vehicle power allocation, including determining the current charging mode and travel destination of all vehicles, confirming the current location of all vehicles and the distance between them and the travel destination; obtaining the total charging power available in the power grid, the remaining available power of the power grid, the current battery capacity of the battery of the vehicle being charged in the power grid, the total battery capacity of the vehicle battery, the current charging power of each vehicle in the power grid, and the charging demand power data; using the various data to calculate the charging priority weight of each vehicle, when a new vehicle to be charged is connected to the power grid, the charging priority weight of the current vehicle to be charged is calculated, and the vehicle charging power is dynamically allocated according to the previous charging mode and charging priority weight of each vehicle."

[0003] The above-mentioned documents can reasonably adjust the charging power of the vehicle to achieve the effect of improving power utilization, reducing the charging burden of the power grid and protecting the safety of the power grid. However, under the condition that the rated total power of the charging station and the load status of the electric vehicle battery are both dynamically changing, it is difficult to adjust the charging power distribution of each electric vehicle in real time and dynamically, and it is impossible to reasonably distribute the power allocated by the power grid to the charging pile to the maximum extent. In addition, the charging needs of users are different. The utilization rate of the charging station is not high enough if the power is only allocated by the charging priority of the charging vehicle, and it is difficult to meet the needs of some users who want to charge quickly. When the electric vehicle is fast charged, it is difficult for the charging module to avoid the state of over-limit output power, and it is easy to increase the loss of the charging module, reducing the stability of the charging equipment. Summary of the invention

[0004] The purpose of the present invention is to provide a dynamic power allocation method for a new energy charging module to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a dynamic power allocation method for a new energy charging module, comprising the following steps:

[0006] S1. Determine the charging power allocation corresponding to the priority of electric vehicles: The entire charging station dynamically scans the power distribution of the power grid and the load status of all charged electric vehicle batteries in a scanning period T, and sets incentive factors to enable users to select variable charging power according to their own needs. The priority of electric vehicle charging is determined according to the incentive factors, so as to reasonably allocate the power allocated by the power grid to the charging piles;

[0007] S2. Real-time adjustment of the charging power distribution and status of electric vehicles: In view of the fact that the change of the power limit of the power grid will affect the size of the charging power of electric vehicles, the current total power limit output of the power grid is continuously scanned, and the charging power distribution of each electric vehicle and the status of the electric vehicle to be charged are dynamically adjusted in real time according to the use status of the charging pile;

[0008] S3. Classifying the charged electric vehicles: When the charging station determines that an electric vehicle is being charged in the charging pile, the central control unit obtains the basic data of the charging module through the charging pile, calculates the charging adjustment coefficient of each electric vehicle, and classifies and processes the electric vehicles. The electric vehicles are classified into uncontrollable electric vehicles and controllable electric vehicles, and then the maximum charging power is allocated to the uncontrollable electric vehicles and the minimum charging power is allocated to the controllable electric vehicles.

[0009] S4. Dynamically adjust the power distribution of the charging module: When the power distribution is sufficient, the charging power of controllable electric vehicles is increased. Uncontrollable electric vehicles belong to the battery fast charging category. At this time, the charging module faces full load output. The power output of the charging module is dynamically adjusted through a rotation allocation strategy.

[0010] Preferably, in step S1, the charging priority is set according to the size of the incentive factor, the incentive factor is represented by a value of 1 to 10, and the charging scheme includes three gears, wherein values ​​1 to 3 are the first gear, values ​​4 to 7 are the second gear, and values ​​8 to 10 are the third gear. The degree of charging priority becomes higher as the value of the incentive factor increases, and different charging gears correspond to different output powers, thereby determining the size of the allocated charging power.

[0011] Preferably, step S2 comprises the following steps:

[0012] S201. If the total power scanned at the current moment is greater than the total power at the previous moment, and the parking space is full, the electric vehicles are queued according to the charging priority, and the total power of the electric vehicles being charged is counted, and the incentive factors of all the electric vehicles being charged are increased by 1, and then the allocated power of the charging pile is increased according to the power allocation algorithm;

[0013] S202, if there is an empty parking space, the electric vehicle to be charged is allowed to drive into the parking space for charging, and the excess power is allocated to the newly added electric vehicle, and the newly added electric vehicles in the charging parking space are all selected in the charging order by using the identification method;

[0014] The identification method is: before an electric vehicle enters a charging parking space, the queue number is automatically marked for the electric vehicle. Under different priorities, the higher priority one will be charged first, and under the same priority, the one with the earlier queue number will be charged first.

[0015] Preferably, the step S2 further comprises the following steps:

[0016] S203, if the limited power scanned at the current moment is smaller than the power at the previous moment, the total charging time of the electric vehicle is obtained by using the power allocation algorithm, and the charging power of each charging pile is reduced or the charging vehicle of the charging pile is released according to the total charging time of the electric vehicle;

[0017] S204: if the electric vehicle is guaranteed to reach the target battery load state before the set charging completion time, the charging power of the charging pile for the electric vehicle is reduced; otherwise, the newly charged electric vehicle with the last queue number is released according to the identification method, so that the total power is reduced to the current limited power, thereby reducing the burden on the power transmission system;

[0018] S205: If the limited power scanned at the current moment remains unchanged compared to the power at the previous moment, the allocated power of each charging pile remains unchanged.

[0019] Preferably, step S3 comprises the following steps:

[0020] S301, according to the start charging time, initial battery load state, charging completion time, and target battery load state of each electric vehicle set by the user, the charged electric vehicles are divided into uncontrollable electric vehicles and controllable electric vehicles, wherein the uncontrollable electric vehicles refer to the electric vehicles with a high target battery load state set by the user and a short charging duration, and the controllable electric vehicles refer to the electric vehicles with a low target load state set by the user and a long charging duration;

[0021] S302: when the initial battery load state of the electric vehicle is high, there are few electric vehicles in the charging station, the target battery load state set by the user is low, and the charging duration is long, some electric vehicles reach the target battery load state before the set charging completion time, then the charging adjustment coefficient of the electric vehicle is updated;

[0022] S303, counting the number of uncontrollable electric vehicles and the number of controllable electric vehicles being charged at time t, and allocating a maximum charging power to the uncontrollable electric vehicles and a minimum charging power to the controllable electric vehicles, and then calculating the total charging power of all uncontrollable electric vehicles and the total charging power of all controllable electric vehicles.

[0023] Preferably, in step S302, the charging regulation coefficient of the electric vehicle is updated by a charging regulation coefficient calculation formula, and the charging regulation coefficient calculation formula is:

[0024]

[0025] in, express Electric vehicles are always on charging piles The regulation factor of charging, Indicates the maximum discharge rate, Indicates the set target charging time. Indicates the time when charging is actually completed. Indicates the maximum charging power, Indicates the actual charging time. Indicates the charging pile number.

[0026] Preferably, step S4 comprises the following steps:

[0027] S401. Determine whether the total charging power of uncontrollable electric vehicles and controllable electric vehicles at time t is less than the total power output of the power grid. If so, it proves that the power distribution of the power grid is sufficient. Then, all controllable electric vehicles are sorted in order from small to large according to the charging regulation coefficient, and the charging power of the electric vehicles is increased in sequence according to the sorting order until all controllable electric vehicles reach the maximum charging power when the power distribution of the power grid is sufficient. If not, it proves that the power distribution of the power grid is insufficient. The charging power of some electric vehicles that reach the target battery load state before the set charging completion time is reduced.

[0028] Preferably, the step S4 further comprises the following steps:

[0029] S402, the rotation allocation strategy is: assuming that the charging piles include A charging module, the charging pile is represented by: ,in Indicates charging pile, Indicates the charging module. Indicates the total number of charging modules. Indicates the charging module number. , in the set In a time period, The charging modules dynamically take turns to bear the output pressure. A charging module The output power is in the over-limit state for a period of time, etc. After the time period ends, Select one charging module from the charging modules and reduce it to 90% of the rated power. Replace the previously uncapped charging module and adjust it to the output power over-limit state. Wait The time period ends, and then continues on the latest update Replace one charging module in the charging pile so that each charging module in the charging pile can get heat dissipation time in turn.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. The present invention introduces incentive factors with different set values ​​to generate different charging powers according to the needs of users, which can fully utilize the charge amount supplied by the power grid to the charging station, while minimizing the loss of the power grid, meeting the diversified charging needs of different users, alleviating the pressure of the charging station during peak power consumption, and improving the charging efficiency of the charging station. At the same time, the power allocation algorithm is introduced to regularly refresh the power margin of the charging system and the margin of vacant parking spaces when the power limit of the power grid changes, and dynamically and efficiently allocate the power provided by the power grid. When the power limit of the power grid becomes higher, the charging time of the electric vehicle is further shortened, thereby shortening the waiting time of the user. When the power limit of the power grid becomes lower, the total charging power can be timely reduced to the current limited power, reducing the burden on the power transmission system;

[0032] 2. The present invention divides the charged electric vehicles into controllable electric vehicles and uncontrollable electric vehicles, and can selectively power the charging modules of the charging pile according to the type of electric vehicles. For controllable electric vehicles, the charging power of the electric vehicles is increased in sequence according to the sorting order and the power increase algorithm, and the excess power is distributed. At this time, the utilization rate of the charging station can be improved while the charging module does not exceed the rated power. For uncontrollable electric vehicles, the charging module faces full load output. The power output of the charging module is dynamically adjusted through a rotation allocation strategy to reduce the loss of each charging module, which can greatly meet user needs while improving the stability of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A schematic diagram of the overall method flow provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0035] See also Figure 1 The present invention provides a technical solution: a dynamic power allocation method for a new energy charging module, comprising the following steps:

[0036] S1. Determine the charging power allocation corresponding to the priority of electric vehicles: The entire charging station dynamically scans the power distribution of the power grid and the load status of all charged electric vehicle batteries in a scanning period T, and sets incentive factors to enable users to select variable charging power according to their own needs. The priority of electric vehicle charging is determined according to the incentive factors, so as to reasonably allocate the power allocated by the power grid to the charging piles;

[0037] S2. Real-time adjustment of the charging power distribution and status of electric vehicles: In view of the fact that the change of the power limit of the power grid will affect the size of the charging power of electric vehicles, the current total power limit output of the power grid is continuously scanned, and the charging power distribution of each electric vehicle and the status of the electric vehicle to be charged are dynamically adjusted in real time according to the use status of the charging pile;

[0038] S3. Classifying the charged electric vehicles: When the charging station determines that an electric vehicle is being charged in the charging pile, the central control unit obtains the basic data of the charging module through the charging pile, calculates the charging adjustment coefficient of each electric vehicle, and classifies and processes the electric vehicles. The electric vehicles are classified into uncontrollable electric vehicles and controllable electric vehicles, and then the maximum charging power is allocated to the uncontrollable electric vehicles and the minimum charging power is allocated to the controllable electric vehicles.

[0039] S4. Dynamically adjust the power distribution of the charging module: When the power distribution is sufficient, the charging power of controllable electric vehicles is increased. Uncontrollable electric vehicles belong to the battery fast charging category. At this time, the charging module faces full load output. The power output of the charging module is dynamically adjusted through a rotation allocation strategy.

[0040] In step S1, the charging priority is set according to the magnitude of the incentive factor, the incentive factor is represented by a value of 1 to 10, and the charging scheme includes three gears, wherein the values ​​1 to 3 are the first gear, the values ​​4 to 7 are the second gear, and the values ​​8 to 10 are the third gear. The degree of charging priority becomes higher as the value of the incentive factor increases. Different charging gears correspond to different output powers, thereby determining the magnitude of the allocated charging power;

[0041] Step S2 includes the following steps:

[0042] S201. If the total power scanned at the current moment is greater than the total power at the previous moment, and the parking space is full, the electric vehicles are queued according to the charging priority, and the total power of the electric vehicles being charged is counted, and the incentive factors of all the electric vehicles being charged are increased by 1, and then the allocated power of the charging pile is increased according to the power allocation algorithm;

[0043] S202, if there is an empty parking space, the electric vehicle to be charged is allowed to drive into the parking space for charging, and the excess power is allocated to the newly added electric vehicle, and the newly added electric vehicles in the charging parking space are all selected in the charging order by using the identification method;

[0044] The identification method is: before an electric vehicle enters a charging parking space, the electric vehicle is automatically marked with a queue number. Under different priorities, the higher priority vehicle will be charged first. Under the same priority, the vehicle with the earlier queue number will be charged first.

[0045] Step S2 also includes the following steps:

[0046] S203, if the limited power scanned at the current moment is smaller than the power at the previous moment, the total charging time of the electric vehicle is obtained by using the power allocation algorithm, and the charging power of each charging pile is reduced or the charging vehicle of the charging pile is released according to the total charging time of the electric vehicle;

[0047] S204: if the electric vehicle is guaranteed to reach the target battery load state before the set charging completion time, the charging power of the charging pile for the electric vehicle is reduced; otherwise, the newly charged electric vehicle with the last queue number is released according to the identification method, so that the total power is reduced to the current limited power, thereby reducing the burden on the power transmission system;

[0048] S205: If the limited power scanned at the current moment remains unchanged compared to the power at the previous moment, the allocated power of each charging pile remains unchanged;

[0049] The specific power allocation algorithm is:

[0050]

[0051]

[0052]

[0053] in, Indicates the amount of electricity that the electric car needs to charge. Indicates the target battery capacity of the electric vehicle, that is, the target battery load state. Indicates the current battery load detected. Indicates the charging power allocated to the electric vehicle by the charging pile. Indicates the maximum charging power that the electric vehicle can accept. Indicates the value of the incentive factor, Represents the total battery capacity of the electric vehicle, Indicates the total charging time of the electric vehicle;

[0054] Step S3 includes the following steps:

[0055] S301, according to the start charging time, initial battery load state, charging completion time, and target battery load state of each electric vehicle set by the user, the charged electric vehicles are divided into uncontrollable electric vehicles and controllable electric vehicles, wherein the uncontrollable electric vehicles refer to the electric vehicles with a high target battery load state set by the user and a short charging duration, and the controllable electric vehicles refer to the electric vehicles with a low target load state set by the user and a long charging duration;

[0056] S302: when the initial battery load state of the electric vehicle is high, there are few electric vehicles in the charging station, the target battery load state set by the user is low, and the charging duration is long, some electric vehicles reach the target battery load state before the set charging completion time, then the charging adjustment coefficient of the electric vehicle is updated;

[0057] S303, counting the number of uncontrollable electric vehicles and the number of controllable electric vehicles being charged at time t, and allocating a maximum charging power to the uncontrollable electric vehicles and a minimum charging power to the controllable electric vehicles, and then calculating the total charging power of all uncontrollable electric vehicles and the total charging power of all controllable electric vehicles;

[0058] In step S302, the charging regulation coefficient of the electric vehicle is updated by the charging regulation coefficient calculation formula, and the charging regulation coefficient calculation formula is:

[0059]

[0060] in, express Electric vehicles are always on charging piles The regulation factor of charging, Indicates the maximum discharge rate, Indicates the set target charging time. Indicates the time when charging is actually completed. Indicates the maximum charging power, Indicates the actual charging time. Indicates the charging pile number;

[0061] Step S4 includes the following steps:

[0062] S401, determine whether the total charging power of the uncontrollable electric vehicles and the controllable electric vehicles at time t is less than the total power output of the power grid. If so, it proves that the power grid has sufficient power distribution, then all controllable electric vehicles are sorted in order from small to large according to the charging adjustment coefficient, and the charging power of the electric vehicles is increased in sequence according to the sorting order until all controllable electric vehicles reach the maximum charging power when the power grid has sufficient power distribution. If not, it proves that the power grid has insufficient power distribution, and the charging power of some electric vehicles that reach the target battery load state in advance before the set charging completion time is reduced;

[0063] Increasing the charging power of the electric vehicle includes a power increase algorithm, which is specifically:

[0064]

[0065]

[0066] in, express Charging station at all times The charging power, express Charging station at all times The charging power, Indicates the maximum charging power, Indicates the charging power variation coefficient, which will be based on The adjustment coefficient of each controllable electric vehicle changes at every moment, which is a variable. express The largest adjustment coefficient among all controllable electric vehicles at the moment. represents the adjustment coefficient, Indicates the charging pile number;

[0067] Step S4 also includes the following steps:

[0068] S402, the rotation allocation strategy is: assuming that the charging piles include A charging module, the charging pile is represented by: ,in, Indicates charging pile, Indicates the charging module. Indicates the total number of charging modules. Indicates the charging module number. , in the set In a time period, The charging modules dynamically take turns to bear the output pressure. A charging module The output power is in the over-limit state for a period of time, etc. After the time period ends, Select one charging module from the charging modules and reduce it to 90% of the rated power. Replace the previously uncapped charging module and adjust it to the output power over-limit state. Wait The time period ends, and then continues on the latest update Replace one charging module in the charging pile so that each charging module in the charging pile can get heat dissipation time in turn;

[0069] Specifically, the overall power margin is 5%, charging modules 1 to 6 bear more than 5% of the rated power, charging module 7 is reduced to 90% of the rated power, and a certain heat dissipation time is obtained. After the set time, charging module 1 reduces the power, and charging modules 2 to 7 bear more than 5% of the rated power, and so on.

[0070] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0071] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A dynamic power allocation method for a new energy charging module, characterized in that: The method comprises the following steps: S1. Determine the charging power allocation corresponding to the priority of electric vehicles: The entire charging station dynamically scans the power distribution of the power grid and the load status of all charged electric vehicle batteries in a scanning period T, and sets incentive factors to enable users to select variable charging power according to their own needs. The priority of electric vehicle charging is determined according to the incentive factors, so as to reasonably allocate the power allocated by the power grid to the charging piles; S2. Real-time adjustment of the charging power distribution and status of electric vehicles: In view of the fact that the change of the power limit of the power grid will affect the size of the charging power of electric vehicles, the current total power limit output of the power grid is continuously scanned, and the charging power distribution of each electric vehicle and the status of the electric vehicle to be charged are dynamically adjusted in real time according to the use status of the charging pile; The step S2 comprises the following steps: S201. If the total power scanned at the current moment is greater than the total power at the previous moment, and the parking space is full, the electric vehicles are queued according to the charging priority, and the total power of the electric vehicles being charged is counted, and the incentive factors of all the electric vehicles being charged are increased by 1, and then the allocated power of the charging pile is increased according to the power allocation algorithm; S202, if there is an empty parking space, the electric vehicle to be charged is allowed to drive into the parking space for charging, and the excess power is allocated to the newly added electric vehicle, and the newly added electric vehicles in the charging parking space are all selected in the charging order by using the identification method; The identification method is: before an electric vehicle enters a charging parking space, the electric vehicle is automatically marked with a queue number. Under different priorities, the higher priority vehicle will be charged first. Under the same priority, the vehicle with the earlier queue number will be charged first. S3. Classifying the charged electric vehicles: When the charging station determines that an electric vehicle is being charged in the charging pile, the central control unit obtains the basic data of the charging module through the charging pile, calculates the charging adjustment coefficient of each electric vehicle, and classifies and processes the electric vehicles. The electric vehicles are classified into uncontrollable electric vehicles and controllable electric vehicles, and then the maximum charging power is allocated to the uncontrollable electric vehicles and the minimum charging power is allocated to the controllable electric vehicles. S4. Dynamically adjust the power distribution of the charging module: When the power distribution is sufficient, the charging power of the controllable electric vehicles is increased. The uncontrollable electric vehicles belong to the battery fast charging category. At this time, the charging module faces full load output. The power output of the charging module is dynamically adjusted through the rotation allocation strategy; The step S4 comprises the following steps: S401, determine whether the total charging power of the uncontrollable electric vehicles and the controllable electric vehicles at time t is less than the total power output of the power grid. If so, it proves that the power grid has sufficient power distribution, then all controllable electric vehicles are sorted in order from small to large according to the charging adjustment coefficient, and the charging power of the electric vehicles is increased in sequence according to the sorting order until all controllable electric vehicles reach the maximum charging power when the power grid has sufficient power distribution. If not, it proves that the power grid has insufficient power distribution, and the charging power of some electric vehicles that reach the target battery load state in advance before the set charging completion time is reduced; Increasing the charging power of the electric vehicle includes a power increase algorithm, which is specifically: ； ； in, express Charging station at all times The charging power, express Charging station at all times The charging power, Indicates the maximum charging power, Indicates the charging power variation coefficient, which will be based on The adjustment coefficient of each controllable electric vehicle changes at every moment, which is a variable. express The largest adjustment coefficient among all controllable electric vehicles at the moment. represents the adjustment coefficient, Indicates the charging pile number; S402, the rotation allocation strategy is: assuming that the charging piles include A charging module, the charging pile is represented by: ,in, Indicates charging pile, Indicates the charging module. Indicates the total number of charging modules. Indicates the charging module number. , in the set In a time period, The charging modules dynamically take turns to bear the output pressure. A charging module The output power is in the over-limit state for a period of time, etc. After the time period ends, Select one charging module from the charging modules and reduce it to 90% of the rated power. Replace the previously uncapped charging module and adjust it to the output power over-limit state. Wait The time period ends, and then continues on the latest update Replace one charging module in the charging pile so that each charging module in the charging pile can get heat dissipation time in turn.

2. The method for dynamic power allocation of a new energy charging module according to claim 1, characterized in that: In step S1, the charging priority is set according to the size of the incentive factor, the incentive factor is represented by a value of 1 to 10, and the charging scheme includes three gears, where values ​​1 to 3 are the first gear, values ​​4 to 7 are the second gear, and values ​​8 to 10 are the third gear. The degree of charging priority becomes higher as the value of the incentive factor increases. Different charging gears correspond to different output powers, thereby determining the size of the allocated charging power.

3. The method for dynamic power allocation of a new energy charging module according to claim 1, characterized in that: The step S2 further comprises the following steps: S203, if the limited power scanned at the current moment is smaller than the power at the previous moment, the total charging time of the electric vehicle is obtained by using the power allocation algorithm, and the charging power of each charging pile is reduced or the charging vehicle of the charging pile is released according to the total charging time of the electric vehicle; S204: if the electric vehicle is guaranteed to reach the target battery load state before the set charging completion time, the charging power of the charging pile for the electric vehicle is reduced; otherwise, the newly charged electric vehicle with the last queue number is released according to the identification method, so that the total power is reduced to the current limited power, thereby reducing the burden on the power transmission system; S205: If the limited power scanned at the current moment remains unchanged compared to the power at the previous moment, the allocated power of each charging pile remains unchanged; The specific power allocation algorithm is: ； ； ； in, Indicates the amount of electricity that the electric car needs to charge. Indicates the target battery capacity of the electric vehicle, that is, the target battery load state. Indicates the current battery load detected. Indicates the charging power allocated to the electric vehicle by the charging pile. Indicates the maximum charging power that the electric vehicle can accept. Indicates the value of the incentive factor, represents the total battery capacity of the electric vehicle, Indicates the total charging time of an electric vehicle.

4. The method for dynamic power allocation of a new energy charging module according to claim 1, characterized in that: The step S3 comprises the following steps: S301, according to the start charging time, initial battery load state, charging completion time, and target battery load state of each electric vehicle set by the user, the charged electric vehicles are divided into uncontrollable electric vehicles and controllable electric vehicles, wherein the uncontrollable electric vehicles refer to the electric vehicles with a high target battery load state set by the user and a short charging duration, and the controllable electric vehicles refer to the electric vehicles with a low target load state set by the user and a long charging duration; S302: when the initial battery load state of the electric vehicle is high, there are few electric vehicles in the charging station, the target battery load state set by the user is low, and the charging duration is long, some electric vehicles reach the target battery load state before the set charging completion time, then the charging adjustment coefficient of the electric vehicle is updated; S303, counting the number of uncontrollable electric vehicles and the number of controllable electric vehicles being charged at time t, and allocating a maximum charging power to the uncontrollable electric vehicles and a minimum charging power to the controllable electric vehicles, and then calculating the total charging power of all uncontrollable electric vehicles and the total charging power of all controllable electric vehicles.

5. The method for dynamic power allocation of a new energy charging module according to claim 4, characterized in that: In step S302, the charging regulation coefficient of the electric vehicle is updated by a charging regulation coefficient calculation formula, and the charging regulation coefficient calculation formula is: ； in, express Electric vehicles are always on charging piles The regulation factor of charging, Indicates the maximum discharge rate, Indicates the set target charging time. Indicates the time when charging is actually completed. Indicates the maximum charging power, Indicates the actual charging time. Indicates the charging pile number.

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