A vehicle-network interactive management system for charging piles

Abstract

The present invention relates to the field of vehicle-grid interaction technology, and specifically to a vehicle-grid interaction management system for charging piles, comprising a charging pile perception module, a grid perception module, a vehicle-grid interaction module, an execution module and a charging and discharging monitoring module; the present invention establishes a coordinated dispatching system for the charging and discharging operations of a power supply system and each charging pile; by adjusting the settings of characteristic parameters one, two and three, the operation of the power grid is analyzed from three perspectives: absolute gap, rate of change and cumulative amount, and the number of charging piles involved in charging and discharging is dynamically output for different combinations of adjusted characteristic parameter values, thereby reducing the impact on the safety and life of the battery; through the execution module, data response is performed for different power consumption conditions of the power grid, and electric energy is delivered to the battery of a new energy vehicle when charging is required; when the power grid needs it, the electric energy is reversely delivered back to the power grid, thereby realizing peak shaving and valley filling and energy storage support for the power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle-grid interaction, and in particular to a vehicle-grid interaction management system for charging piles. Background Art

[0002] Vehicle-grid interaction refers to the interaction of energy and information between new energy vehicles and the power grid through charging piles. Its core lies in the application of V2G (Vehicle-to-Grid) technology. This technology enables new energy vehicles to not only obtain electricity from the power grid for charging, but also to transmit electricity back to the power grid when the power grid needs it, thereby achieving peak load shaving and valley filling and energy storage support for the power grid. Vehicle-grid interaction is of great significance for improving power grid efficiency, optimizing energy allocation, and promoting the development of the new energy vehicle industry. Intelligent and orderly charging refers to optimizing charging time and power through intelligent scheduling algorithms according to the load conditions of the power grid and the charging needs of users, so as to achieve peak load shifting and orderly management of charging load. This method helps to reduce the load pressure of the power grid during peak hours and improve the stability and economy of power grid operation.

[0003] Bidirectional charging and discharging is the core technology of vehicle-grid interaction, which allows new energy vehicles to charge when the grid load is low and discharge when the grid load is high, providing power support for the grid. In this way, new energy vehicles become "mobile power banks" for the grid, enhancing the peak load regulation and energy storage capabilities of the grid.

[0004] However, there are still many problems with the existing vehicle-grid interaction technology. First, it is difficult to coordinate the charging and discharging operations of the power supply system and each charging pile during the implementation of the vehicle-grid interaction technology, which reduces the information integration efficiency and data coordination efficiency of the entire system;

[0005] Secondly, for the batteries of existing new energy vehicles, frequent charging and discharging will accelerate the attenuation of the power battery capacity, affecting the safety and life of the battery. At the same time, when the batteries of various new energy vehicles are discharged in a centralized manner, the large-scale grid connection of distributed energy will cause overvoltage in the local power grid, creating potential safety hazards in electricity use.

[0006] Therefore, it is necessary to propose a vehicle-grid interaction management system for charging piles to solve the above problems. Summary of the invention

[0007] The purpose of the present invention is to solve the problems existing in the background technology and propose a vehicle-grid interactive management system for charging piles;

[0008] The purpose of the present invention can be achieved through the following technical solutions: A vehicle-grid interaction management system for charging piles, including a charging pile perception module, a power grid perception module, a vehicle-grid interaction module, an execution module and a charge and discharge monitoring module.

[0009] The charging pile sensing module assigns a unique number i to each charging pile, where i=1, 2, 3, ..., n; where n is the total number of charging piles.

[0010] The effective output current Iit, effective output voltage Uit and power factor PFit of each charging pile are obtained at every preset time interval t. Calculate the total active power Pt.

[0011] Record the current time t and active power Pt to generate a power data point (t, Pt).

[0012] A two-dimensional rectangular coordinate system is established with time as the horizontal coordinate and active power as the vertical coordinate. Each generated power data point (t, Pt) is filled into the coordinate system to generate a two-dimensional discrete random variable discrete distribution diagram with time as the independent variable and clean energy power as the dependent variable. A smooth curve is used to connect each point in the diagram to obtain an active power-time variation diagram.

[0013] The charging pile sensing module obtains the connection status of each charging pile i and the new energy electric vehicle at a preset time t. The charging piles that are not connected to the new energy electric vehicle are marked as standby charging piles, and the charging piles connected to the new energy electric vehicle are marked as occupied charging piles. The charging and discharging characteristic parameters of all standby charging piles are set to 0; for each occupied charging pile, the remaining power percentage W(i) of the new energy electric vehicle connected to it is obtained, and recorded as the charging and discharging characteristic parameters of each occupied charging pile.

[0014] Furthermore, the number n1t of all standby charging piles and the number n2t of occupied charging piles are obtained at every preset time interval t, and the charging pile usage saturation C(t) at time t is calculated by the formula C(t)=n2t / n1t.

[0015] The grid sensing module obtains the input electric energy Et input into the charging pile power supply grid at every preset time interval t, and then generates an electric energy data point (t, Et).

[0016] A two-dimensional rectangular coordinate system is established with time as the horizontal coordinate and input electric energy as the vertical coordinate. Each electric energy data point (t, Et) is filled into the coordinate system to generate a two-dimensional discrete random variable discrete distribution diagram with time as the independent variable and input electric energy as the dependent variable. A smooth curve is used to connect each point in the diagram to obtain the input electric energy-time variation diagram.

[0017] The vehicle-grid interaction module overlaps the active power-time variation diagram and the input electric energy-time variation diagram at the same time t, and subtracts the active power part from the input electric energy part in the overlapped image to obtain a new image, which is recorded as the adjustment feature image.

[0018] Get the fitting function expression f(x) of the adjustment feature image, and obtain the corresponding ordinate value f(x) in the adjustment image at every preset time interval t, which is recorded as the adjustment feature parameter E1(t). Calculate the adjustment characteristic parameter two E2 (t) and the adjustment characteristic parameter three E3 (t).

[0019] The characteristic index R(t) is calculated by the formula R(t)=k1×E1(t)+k2×E2(t)+k3×E3(t), where k1, k2 and k3 are preset weight factors. When the value of the characteristic index R(t) is greater than the preset maximum threshold RMAX, the current time t is marked as the load peak. When the value of the characteristic index R(t) is less than the preset minimum threshold RMIN, the current time t is marked as the load valley. When the value of the characteristic index R(t) is greater than or equal to the preset minimum threshold RMIN and less than or equal to the preset maximum threshold RMAX, the current time t is marked as the load platform.

[0020] When the load peak is reached, the formula Calculate the discharge execution parameter ΩA(t) at time t, where M1 and M2 are the preset maximum discharge execution parameter and minimum discharge execution parameter, respectively, and v1 is the preset influence index. E2MAX and E2MIN are the preset maximum threshold and minimum threshold of characteristic parameter 2, respectively.

[0021] When the load trough is marked, the formula The discharge execution parameter ΩB(t) is calculated, where α1 and α2 are preset influence factors, and β1 and β2 are preset influence indexes.

[0022] When marking the load platform, output execution parameters .

[0023] The execution module sorts the charging and discharging characteristic parameters of each occupied charging pile from high to low, and removes the part with the charging and discharging characteristic parameter of 0. The charging pile unique number i of each charging pile corresponding to the sorting is extracted and recorded as the charging and discharging sequence of the charging pile.

[0024] Furthermore, at every preset time interval t, the execution module performs targeted data response according to the type and value of the identified execution parameter, specifically:

[0025] When the discharge execution parameter ΩA(t) is identified, the value of ΩA(t) is obtained and the batteries connected to the first ΩA(t) charging piles in the charging and discharging sequence are discharged, that is, the power in the battery is obtained through the charging piles and input into the public power grid.

[0026] When the charging execution parameter ΩB(t) is identified, the value of ΩB(t) is obtained and the batteries connected to the last ΩB(t) charging piles in the charging and discharging sequence are fast charged, that is, additional electrical energy is drawn from the public power grid to charge the batteries through the charging piles.

[0027] When the execution parameter is recognized , so that all batteries connected to the charging piles stop discharging and fast charging.

[0028] The charge and discharge monitoring module obtains the active power-time variation diagram of each charging pile i, and uses fast Fourier transform to convert the active power-time variation diagram corresponding to each charging pile i from the time domain to the frequency domain to obtain the power spectrum diagram corresponding to each charging pile i.

[0029] Furthermore, each peak image in the power spectrum is recorded as a frequency peak, the highest point of the frequency peak is called the frequency peak, and the frequency corresponding to the frequency peak is called the peak frequency. Use i1 to number each frequency peak in the energy storage battery current spectrum, i1=1, 2, 3...n1; where n1 is the total number of frequency peaks in the energy storage battery current spectrum. Extract the frequency peak number i1 and the corresponding frequency peak of each frequency peak in the energy storage battery current spectrum Sum peak frequency By formula Calculate the battery power abnormality parameter Oi of each charging pile, where is a set of preset standard frequency peaks, It is a set of preset standard peak frequencies;

[0030] Furthermore, when it is identified that the abnormal battery power parameter Oi of the charging pile i is greater than the preset threshold Omax, the charging pile i is marked as abnormal operation. The charging or discharging circuits of all abnormally operating charging piles are disconnected, and an alarm signal containing the unique number of the abnormally operating charging pile is sent to the management personnel.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] (1) The present invention obtains the current, power, remaining power percentage and other data of the public power grid and each charging pile through the charging pile sensing module and the power grid sensing module respectively; and integrates the data through the vehicle-grid interaction module to establish a coordinated scheduling system for the charging and discharging operations of the power supply system and each charging pile; it alleviates the problem of information islands and improves the information integration efficiency and data coordination efficiency of the entire system;

[0033] (2) The present invention analyzes the operation of the power grid from three perspectives: absolute gap, rate of change and cumulative amount, and discusses them by category. It dynamically outputs the number of charging piles involved in charging and discharging for different combinations of adjusting characteristic parameter values. It prevents the capacity attenuation of the power battery caused by frequent charging and discharging, and reduces the impact on the safety and life of the battery. At the same time, it prevents the local power grid overvoltage caused by the concentrated discharge of the batteries of various new energy vehicles, and eliminates electrical safety hazards to a certain extent.

[0034] (3) The present invention responds to different grid power usage conditions through the execution module, and transmits electric energy to the battery of the new energy vehicle when charging is needed; it transmits electric energy back to the grid when the grid needs it, thereby realizing peak load shaving and valley filling and energy storage support for the grid; it allows new energy vehicles to charge when the grid load is low and discharge when the grid load is high. This enhances the peak load regulation and energy storage capabilities of the grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to facilitate the understanding of those skilled in the art, the present invention is further described below with reference to the accompanying drawings:

[0036] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0037] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0038] See also Figure 1 As shown, a vehicle-grid interaction management system for charging piles includes a charging pile perception module, a grid perception module, a vehicle-grid interaction module, an execution module and a charge and discharge monitoring module.

[0039] The charging pile sensing module assigns a unique number i to each charging pile, where i=1, 2, 3, ..., n; where n is the total number of charging piles.

[0040] The effective output current Iit, effective output voltage Uit and power factor PFit of each charging pile are obtained at every preset time interval t. Calculate the total active power Pt.

[0041] Record the current time t and active power Pt to generate a power data point (t, Pt).

[0042] A two-dimensional rectangular coordinate system is established with time as the horizontal coordinate and active power as the vertical coordinate. Each generated power data point (t, Pt) is filled into the coordinate system to generate a two-dimensional discrete random variable discrete distribution diagram with time as the independent variable and clean energy power as the dependent variable. A smooth curve is used to connect each point in the diagram to obtain an active power-time variation diagram.

[0043] The charging pile sensing module obtains the connection status of each charging pile i and the new energy electric vehicle at a preset time t. The charging piles that are not connected to the new energy electric vehicle are marked as standby charging piles, and the charging piles connected to the new energy electric vehicle are marked as occupied charging piles. The charging and discharging characteristic parameters of all standby charging piles are set to 0; for each occupied charging pile, the remaining power percentage W(i) of the new energy electric vehicle connected to it is obtained, and recorded as the charging and discharging characteristic parameters of each occupied charging pile.

[0044] Furthermore, the number n1t of all standby charging piles and the number n2t of occupied charging piles are obtained at every preset time interval t, and the charging pile usage saturation C(t) at time t is calculated by the formula C(t)=n2t / n1t.

[0045] The grid sensing module obtains the input electric energy Et input into the charging pile power supply grid at every preset time interval t, and then generates an electric energy data point (t, Et).

[0046] A two-dimensional rectangular coordinate system is established with time as the horizontal coordinate and input electric energy as the vertical coordinate. Each electric energy data point (t, Et) is filled into the coordinate system to generate a two-dimensional discrete random variable discrete distribution diagram with time as the independent variable and input electric energy as the dependent variable. A smooth curve is used to connect each point in the diagram to obtain the input electric energy-time variation diagram.

[0047] The vehicle-grid interaction module overlaps the active power-time variation diagram and the input electric energy-time variation diagram at the same time t, and subtracts the active power part from the input electric energy part in the overlapped image to obtain a new image, which is recorded as the adjustment feature image.

[0048] Get the fitting function expression f(x) of the adjustment feature image, and obtain the corresponding ordinate value f(x) in the adjustment image at every preset time interval t, which is recorded as the adjustment feature parameter E1(t). Calculate the adjustment characteristic parameter two E2 (t) and the adjustment characteristic parameter three E3 (t).

[0049] The characteristic index R(t) is calculated by the formula R(t)=k1×E1(t)+k2×E2(t)+k3×E3(t), where k1, k2 and k3 are preset weight factors. When the value of the characteristic index R(t) is greater than the preset maximum threshold RMAX, the current time t is marked as the load peak. When the value of the characteristic index R(t) is less than the preset minimum threshold RMIN, the current time t is marked as the load valley. When the value of the characteristic index R(t) is greater than or equal to the preset minimum threshold RMIN and less than or equal to the preset maximum threshold RMAX, the current time t is marked as the load platform.

[0050] When the load peak is marked, the formula is: Calculate the discharge execution parameter ΩA(t) at time t, where M1 and M2 are the preset maximum discharge execution parameter and minimum discharge execution parameter, respectively, and v1 is the preset influence index. E2MAX and E2MIN are the preset maximum threshold and minimum threshold of characteristic parameter 2, respectively.

[0051] It should be noted that Point to The part is rounded down, where is the floor sign, which indicates a floor calculation. For example, =3.

[0052] When the load trough is marked, the formula The discharge execution parameter ΩB(t) is calculated, where α1 and α2 are preset influence factors, and β1 and β2 are preset influence indexes.

[0053] When marking the load platform, output execution parameters .

[0054] The execution module sorts the charging and discharging characteristic parameters of each occupied charging pile from high to low, and removes the part with the charging and discharging characteristic parameter of 0. The charging pile unique number i of each charging pile corresponding to the sorting is extracted and recorded as the charging and discharging sequence of the charging pile.

[0055] Furthermore, at every preset time interval t, the execution module performs targeted data response according to the type and value of the identified execution parameter, specifically:

[0056] When the discharge execution parameter ΩA(t) is identified, the value of ΩA(t) is obtained and the batteries connected to the first ΩA(t) charging piles in the charging and discharging sequence are discharged, that is, the power in the battery is obtained through the charging piles and input into the public power grid.

[0057] When the charging execution parameter ΩB(t) is identified, the value of ΩB(t) is obtained and the batteries connected to the last ΩB(t) charging piles in the charging and discharging sequence are fast charged, that is, additional electrical energy is drawn from the public power grid to charge the batteries through the charging piles.

[0058] When the execution parameter is recognized , so that all batteries connected to the charging piles stop discharging and fast charging.

[0059] The charging and discharging monitoring module obtains the active power-time variation diagram of each charging pile i, and uses fast Fourier transform to convert the active power-time variation diagram corresponding to each charging pile i from the time domain to the frequency domain to obtain the power spectrum diagram corresponding to each charging pile i

[0060] Furthermore, each peak image in the power spectrum is recorded as a frequency peak, the highest point of the frequency peak is called the frequency peak, and the frequency corresponding to the frequency peak is called the peak frequency. Use i1 to number each frequency peak in the energy storage battery current spectrum, i1=1, 2, 3...n1; where n1 is the total number of frequency peaks in the energy storage battery current spectrum. Extract the frequency peak number i1 and the corresponding frequency peak of each frequency peak in the energy storage battery current spectrum Sum peak frequency By formula Calculate the battery power abnormality parameter Oi of each charging pile, where is a set of preset standard frequency peaks, It is a set of preset standard peak frequencies;

[0061] Furthermore, when it is identified that the abnormal battery power parameter Oi of the charging pile i is greater than the preset threshold Omax, the charging pile i is marked as abnormal. The charging or discharging circuits of all abnormally working charging piles are disconnected, and an alarm signal containing the unique number of the abnormally working charging pile is sent to the management personnel.

[0062] It should be understood that the terms "include" and "comprising" used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0063] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the disclosure. As used in this disclosure and claims, the singular forms "a", "an", and "the" are intended to include plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in this disclosure and claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations;

[0064] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A vehicle-grid interaction management system for a charging pile, comprising a vehicle-grid interaction module and an execution module, characterized in that: The vehicle-grid interaction module overlaps the active power-time variation diagram and the input electric energy-time variation diagram at the same time t, and obtains a new image by subtracting the active power part from the input electric energy part in the overlapped image, which is recorded as the adjustment feature image; data extraction and analysis operations are performed in the adjustment feature image to obtain adjustment feature parameters one, two and three and judge the operation status of the power grid at the current time; The execution module sorts the charging and discharging characteristic parameters of each occupied charging pile from high to low, and removes the part with the charging and discharging characteristic parameter of 0; extracts the unique charging pile number i of each charging pile corresponding to the sorting and records it as the charging and discharging sequence of the charging pile; at every preset time interval t, the execution module responds with targeted data according to the category and value of the identified execution parameter; When the discharge execution parameter ΩA(t) is identified, the value of ΩA(t) is obtained and the batteries connected to the first ΩA(t) charging piles in the charging and discharging sequence of the charging piles are discharged, that is, the power in the battery is obtained through the charging piles and input into the public power grid; When the charging execution parameter ΩB(t) is identified, the value of ΩB(t) is obtained and the batteries connected to the last ΩB(t) charging piles in the charging and discharging sequence of the charging piles are fast charged, that is, additional electric energy is taken from the public power grid to charge the batteries through the charging piles; When the execution parameter is recognized , so that all batteries connected to the charging piles stop discharging and fast charging.

2. A vehicle-grid interactive management system for charging piles according to claim 1, characterized in that: It also includes a charging pile sensing module, a power grid sensing module and a charging and discharging monitoring module; The charging pile sensing module assigns a unique number i to each charging pile, where i=1, 2, 3, ..., n; n is the total number of charging piles, and extracts data from each charging pile; The grid sensing module obtains the input electric energy Et input into the charging pile power supply grid at every preset time interval t, thereby generating an electric energy data point (t, Et); A two-dimensional rectangular coordinate system is established with time as the horizontal coordinate and input electric energy as the vertical coordinate. Each electric energy data point (t, Et) is filled into the coordinate system to generate a two-dimensional discrete random variable discrete distribution diagram with time as the independent variable and input electric energy as the dependent variable. A smooth curve is used to connect each point in the diagram to obtain an input electric energy-time variation diagram. The charge and discharge monitoring module obtains the active power-time variation diagram of each charging pile i, and uses fast Fourier transform to convert the active power-time variation diagram corresponding to each charging pile i from the time domain to the frequency domain, and obtains the power spectrum diagram corresponding to each charging pile i; through the analysis and calculation of the power spectrum diagram, the number of the abnormal charging pile is located and the charge and discharge protection is executed.

3. A vehicle-grid interactive management system for charging piles according to claim 1, characterized in that: The specific process of extracting and analyzing data in the adjustment feature image, obtaining adjustment feature parameters one, two and three, and judging the current power grid operation status is as follows: Get the fitting function expression f(x) of the adjustment feature image, and obtain the corresponding ordinate value f(x) in the adjustment image at every preset time interval t, which is recorded as the adjustment feature parameter E1(t). Calculate adjustment characteristic parameter two E2(t) and adjustment characteristic parameter three E3(t); The characteristic index R(t) is calculated by the formula R(t)=k1×E1(t)+k2×E2(t)+k3×E3(t), where k1, k2 and k3 are preset weight factors; when the value of the characteristic index R(t) is greater than the preset maximum threshold RMAX, the current time t is marked as the load peak; When the value of the characteristic index R(t) is less than the preset minimum threshold RMIN, the current time t is marked as a load valley; When the value of the characteristic index R(t) is greater than or equal to a preset minimum threshold RMIN and less than or equal to a preset maximum threshold RMAX, the current time t is marked as a load platform.

4. A vehicle-grid interactive management system for charging piles according to claim 1, characterized in that: The specific process of obtaining the execution parameters by analyzing and calculating the saturation C(t) of the charging pile and adjusting the characteristic parameters one, two and three is as follows: When the load peak is reached, the formula Calculate the discharge execution parameter ΩA(t) at time t, where M1 and M2 are respectively the preset maximum discharge execution parameter and the minimum discharge execution parameter, where v1 is the preset influence index; where E2MAX and E2MIN are respectively the preset maximum threshold and minimum threshold of characteristic parameter 2; where Point to The part is rounded down, where It is the number rounded down; When the load trough is marked, the formula Calculate the discharge execution parameter ΩB(t), where α1 and α2 are the preset influence factors, and β1 and β2 are the preset influence indexes; when the load platform is marked, the execution parameter is output .

5. A vehicle-grid interactive management system for charging piles according to claim 2, characterized in that: The specific process of extracting data from each charging pile is as follows: The effective output current Iit, effective output voltage Uit and power factor PFit of each charging pile are obtained at every preset time interval t; through the formula Calculate the total active power Pt; Record the current time t and active power Pt, and generate a power data point (t, Pt); A two-dimensional rectangular coordinate system is established with time as the horizontal coordinate and active power as the vertical coordinate. Each generated power data point (t, Pt) is filled into the coordinate system to generate a two-dimensional discrete random variable discrete distribution diagram with time as the independent variable and clean energy power as the dependent variable. A smooth curve is used to connect each point in the diagram to obtain an active power-time variation diagram. The charging pile sensing module obtains the connection status of each charging pile i and the new energy electric vehicle at a preset time t; marks the charging piles that are not connected to the new energy electric vehicle as standby charging piles, and marks the charging piles connected to the new energy electric vehicle as occupied charging piles; sets the charge and discharge characteristic parameters of all standby charging piles to 0; for each occupied charging pile, obtains the remaining power percentage W(i) of the new energy electric vehicle connected to it, and records it as the charge and discharge characteristic parameter of each occupied charging pile; The number n1t of all standby charging piles and the number n2t of occupied charging piles are obtained at every preset time interval t; the charging pile usage saturation C(t) at time t is calculated by the formula C(t)=n2t / n1t.

6. A vehicle-grid interactive management system for charging piles according to claim 1, characterized in that: The specific process of locating the abnormal charging pile number and executing charging and discharging protection by analyzing and calculating the power spectrum is as follows: Each peak image in the power spectrum is recorded as a frequency peak, the highest point of the frequency peak is called the frequency peak, and the frequency corresponding to the frequency peak is called the peak frequency; each frequency peak in the energy storage battery current spectrum is numbered with i1, i1=1, 2, 3...n1; Where n1 is the total number of frequency peaks in the energy storage battery current spectrum; extract the frequency peak number i1 and the corresponding frequency peak value of each frequency peak in the energy storage battery current spectrum. Sum peak frequency ; Through the formula Calculate the battery power abnormality parameter Oi of each charging pile, where is a set of preset standard frequency peaks, It is a set of preset standard peak frequencies; When it is identified that the abnormal battery power parameter Oi of charging pile i is greater than the preset threshold Omax, the charging pile i is marked as abnormal; the charging or discharging circuits of all abnormally working charging piles are disconnected, and an alarm signal containing the unique number of the abnormally working charging pile is sent to the management personnel.

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