Output power derating calculation method based on energy storage charging pile

Abstract

The invention relates to an output power derating calculation method based on an energy storage charging pile. The method comprises the following steps: acquiring configuration data of an energy storage charging pile; calculating output power derating coefficient parameter information of a charging gun of the energy storage charging pile according to the configuration data; if the output power derating coefficient parameter information is lower than a preset derating reason analysis threshold value, acquiring state monitoring data of the energy storage charging pile; inputting the state monitoring data into a derating reason analysis model, performing derating reason analysis, and generating output power derating reason parameter information; and generating output power derating analysis result information of the charging gun of the energy storage charging pile based on the output power derating reason parameter information. By adopting the method, the power derating state and reason of the energy storage charging pile can be accurately distinguished and rapid intelligent diagnosis can be realized through the derating coefficient parameter and the derating reason parameter, the operation and maintenance cost of the charging pile can be obviously reduced and the fault can be accurately positioned, so that the intelligent and efficient upgrading of charging infrastructures is promoted.

Description

Technical Field

[0001] The present invention belongs to the field of charging pile power control, and particularly relates to a method for calculating the output power derating of an energy storage charging pile. Background Art

[0002] With the popularization of electric vehicles and the growing demand for power grid load management, the technology of energy storage charging piles has emerged. The technology of energy storage charging piles can combine an energy storage system with a charging pile, and has the characteristics of storing energy during the low load period of the power grid and discharging during the high load period, which can effectively balance the power grid load and provide stable charging services.

[0003] In traditional technologies, most charging piles only provide basic charging functions and lack real-time monitoring and analysis of output power derating. Even if some charging piles have simple monitoring functions, they can only provide limited data support after a fault occurs, cannot accurately locate the cause of derating, are difficult to monitor and analyze the cause of power derating in real time, and cannot provide detailed derating cause classification and reporting functions for operators in time, resulting in difficulties in fault troubleshooting and equipment maintenance, affecting the service life of the equipment and the charging experience of users. In addition, traditional methods often rely on manual fault diagnosis, which is not only inefficient but also error-prone, and it is difficult to meet the growing scale of charging piles and the complex and changeable operating environment conditions.

[0004] In the prior art with the application publication number of CN119813239A, a method for dynamically allocating the power of a charging pile based on load prediction is proposed. Its core lies in realizing dynamic power allocation through load prediction, system identification, dual-model collaboration, and genetic optimization. However, this technology still has problems such as low granularity of cause diagnosis, lack of an interpretable parameter reporting mechanism, and unclear reasons for power fluctuations. Summary of the Invention

[0005] Based on this, in view of the above technical problems, it is necessary to provide a method for calculating the output power derating of an energy storage charging pile that can monitor dynamic derating coefficients, encode structured derating reasons, and perform multi-source data fusion analysis.

[0006] In a first aspect, the present application provides a method for calculating the output power derating of an energy storage charging pile, including:

[0007] Obtain the configuration data of the energy storage charging pile, where the configuration data includes charging gun configuration data;

[0008] Calculate the output power derating coefficient parameter information of the charging gun of the energy storage charging pile according to the configuration data;

[0009] If the output power derating coefficient parameter information is lower than a preset derating cause analysis threshold, obtain the status monitoring data of the energy storage charging pile;

[0010] Input the status monitoring data into the derating cause analysis model to perform derating cause analysis and generate output power derating cause parameter information;

[0011] Output power derating analysis result information of the charging gun of the energy storage charging pile is generated based on the output power derating reason parameter information.

[0012] In one embodiment, the charging gun configuration data includes the rated maximum output power data of the charging gun, and the output power derating coefficient parameter information of the charging gun of the energy storage charging pile calculated based on the configuration data includes:

[0013] Obtain the actual output power data of the charging gun of the energy storage charging pile;

[0014] Calculate the ratio between the actual output power data and the rated maximum output power data of the charging gun;

[0015] Output power derating factor parameter information is generated based on the ratio data.

[0016] In one embodiment, the charging gun configuration data includes the charging gun's initial rated maximum output power data and the charging gun's historical actual output power data. Obtaining the energy storage charging pile configuration data includes:

[0017] Obtain the charging gun's initial rated maximum output power data, environmental impact parameter data, and charging object impact parameter data;

[0018] Based on the charging gun's historical actual output power data, environmental impact parameter data, and charging object impact parameter data, the charging gun's initial rated maximum output power data is corrected to generate the charging gun's rated maximum output power data;

[0019] The expression of the rated maximum output power data of the charging gun is:

[0020]

[0021] Where, P Rat P is the rated maximum output power of the charging gun. Ini is the initial rated maximum output power data of the charging gun, N is the number of factors affecting the maximum output power of the charging gun, is the weight of the k-th factor affecting the maximum output power of the charging gun, and is the k-th factor affecting the maximum output power of the charging gun; wherein, the factors affecting the maximum output power of the charging gun include the aging attenuation factor calculated based on the historical actual output power data of the charging gun, the charging environment factor calculated based on the environmental impact parameter data, and the target power impact factor calculated based on the charging object impact parameter data. The target power impact factor is used to characterize the impact of the maximum power required by the charging object on the rated maximum output power data of the charging gun.

[0022] In one embodiment, the output power derating analysis result information includes fault diagnosis report information. Generating the output power derating analysis result information of the energy storage charging pile based on the output power derating cause parameter information includes:

[0023] Classify and analyze the output power derating cause parameter information to obtain output power derating cause classification information, where the output power derating cause classification information includes control strategy reasons and equipment failure reasons;

[0024] If the output power derating cause classification information is equipment failure reasons, generate fault diagnosis report information based on the output power derating cause parameter information combined with the output power derating coefficient parameter information.

[0025] In one embodiment, the fault diagnosis report information includes fault development coefficient information and fault diagnosis anomaly information. If the output power derating cause classification information is equipment failure reasons, generate fault diagnosis report information based on the output power derating cause parameter information combined with the output power derating coefficient parameter information, including:

[0026] Generate the predicted output power derating coefficient parameter information of the charging gun of the energy storage charging pile based on the output power derating cause parameter information;

[0027] Calculate the ratio of the output power derating coefficient parameter information to the predicted output power derating coefficient parameter information to obtain the actual output power derating degree information;

[0028] If the actual output power derating degree information is less than the fault development analysis threshold corresponding to the output power derating cause parameter information and greater than the fault anomaly analysis threshold corresponding to the output power derating cause parameter information, generate fault development coefficient information based on the actual output power derating degree information;

[0029] If the actual output power derating degree information is less than the fault anomaly analysis threshold, generate fault diagnosis anomaly information based on the actual output power derating degree information.

[0030] In one embodiment, the equipment failure reasons include external equipment failure reasons and internal equipment failure reasons. The fault diagnosis report information includes the confirmation report information of the charging object management personnel and the charging pile fault repair report information. If the output power derating cause classification information is equipment failure reasons, generate fault diagnosis report information based on the output power derating cause parameter information combined with the output power derating coefficient parameter information, including:

[0031] If the equipment failure reason is external equipment failure reasons, generate the confirmation report information of the charging object management personnel based on the output power derating cause parameter information combined with the output power derating coefficient parameter information;

[0032] If the cause of the equipment failure is an internal equipment failure cause, a charging pile failure repair report information is generated based on the output power derating cause parameter information in combination with the output power derating coefficient parameter information.

[0033] In one embodiment, the status monitoring data includes grid input data, charging object SOC data, charging pile working mode data, and charging pile status label data. The status monitoring data is input into the derating cause analysis model for derating cause analysis to generate the output power derating cause parameter information of the charging gun, including:

[0034] If the grid input power data is lower than the preset grid input power threshold, the output power derating cause parameter information is set to the grid input limit derating label data;

[0035] If the charging object SOC data meets the SOC charging protection limit condition, the output power derating cause parameter information is set to the SOC limit derating label data;

[0036] If the charging pile working mode data is non-working time mode data, the output power derating cause parameter information is set to the working mode limit derating label data;

[0037] If the charging pile status label data is the charging pile fault label data corresponding to the energy storage charging pile having a fault, the output power derating cause parameter information is set to the charging pile fault limit derating label data.

[0038] In a second aspect, the present application also provides an output power derating calculation device based on an energy storage charging pile, including:

[0039] A configuration parameter acquisition module for acquiring the configuration data of the energy storage charging pile, where the configuration data includes charging gun configuration data;

[0040] A derating coefficient calculation module for calculating the output power derating coefficient parameter information of the charging gun of the energy storage charging pile according to the configuration data;

[0041] A charging status monitoring module for acquiring the status monitoring data of the energy storage charging pile if the output power derating coefficient parameter information is lower than the preset derating cause analysis threshold;

[0042] A derating cause analysis module for inputting the status monitoring data into the derating cause analysis model for derating cause analysis to generate the output power derating cause parameter information of the charging gun;

[0043] An analysis result generation module for generating the output power derating analysis result information of the charging gun of the energy storage charging pile based on the output power derating cause parameter information.

[0044] In a third aspect, the present application further provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the method according to any one of the first aspects of the present application are implemented.

[0045] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method according to any one of the first aspects of the present application are implemented.

[0046] The above output power derating calculation method, device, computer device and storage medium based on an energy storage charging pile can monitor the running state of the charging pile in real time by performing refined power management on the charging gun of the charging pile, ensuring the safety of the charging process; by monitoring the derating amplitude and cause of the output power, the possible failure risks of the charging pile can be avoided, the service life of the charging pile can be extended, and the maintenance cost can be reduced; by obtaining and analyzing the configuration data and status monitoring data of the charging pile, potential problems of the charging pile can be found in time, and then the charging pile can be maintained in advance to reduce the occurrence of sudden failures of the charging pile; by outputting the derating cause parameter information of the output power, clear and accurate fault information and processing suggestions can be provided for maintenance personnel, thereby improving the repair efficiency of the charging pile. Description of the Drawings

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0048] Figure 1 Schematic diagram of the application environment of an output power derating calculation method based on an energy storage charging pile provided by an embodiment of the present application;

[0049] Figure 2 Schematic diagram of the flow of an output power derating calculation method based on an energy storage charging pile provided by an embodiment of the present application;

[0050] Figure 3 Schematic diagram of the flow of another output power derating calculation method based on an energy storage charging pile provided by an embodiment of the present application;

[0051] Figure 4 Schematic diagram of the structure of an output power derating calculation device based on an energy storage charging pile provided by an embodiment of the present application. Detailed Embodiments

[0052] To make the objectives, technical solutions and advantages of this application clearer and more understandable, the following further elaborates on this application in combination with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely for explaining this application and are not used to limit this application.

[0053] The output power derating calculation method based on an energy storage charging pile provided by an embodiment of this application can be applied to an application environment as Figure 1 shown. Among them, the charging pile 102 communicates with the server 101 through a communication channel. The data storage system can store the data that the server 101 needs to process. The data storage system can be integrated on the server 101, or placed in the cloud or other network servers. The charging pile 102 can be connected to an energy storage battery, and the energy storage battery can be connected to the AC input (alternating current input) of the power grid through a rectification module. The charging pile 102 can collect the status data of each charging gun 103 it is connected to and the charging object connected to each charging gun 103, generate a status report, and send the status report to the server 101. Among them, the server 101 can be implemented by an independent server or a server cluster composed of multiple servers.

[0054] In an exemplary embodiment of this application, as Figure 2 shown, an output power derating calculation method based on an energy storage charging pile is provided. Taking the charging pile 102 in Figure 1 as an example for description, it includes the following steps S201 to S205. Among them:

[0055] Step S201: Obtain the configuration data of the energy storage charging pile.

[0056] Optionally, the configuration data may include charging gun configuration data.

[0057] Specifically, the charging pile 102 can collect and obtain the charging pile configuration data corresponding to the charging pile 102 of the energy storage charging pile, the charging gun configuration data corresponding to the charging gun, the energy storage configuration data corresponding to the energy storage battery, the AC input configuration time corresponding to the AC input, and the charging object configuration data of the charging object.

[0058] Step S202: Calculate the output power derating coefficient parameter information of the charging gun of the energy storage charging pile according to the configuration data.

[0059] Specifically, the charging pile 102 can calculate the output power derating coefficient parameter information of the charging gun of the energy storage charging pile according to the charging gun configuration data in the configuration data.

[0060] Step S203: If the output power derating coefficient parameter information is lower than the preset derating cause analysis threshold, obtain the status monitoring data of the energy storage charging pile.

[0061] Schematically, the charging pile 102 can obtain the Diagnostic Trouble Code (DTC) of the charging pile 102 based on the Energy Management System (EMS), and the charging pile 102 can also obtain the State of Charge (SOC) of the charging object through the Battery Management System (BMS).

[0062] Optionally, the charging pile 102 can generate state monitoring data of the energy storage charging pile through linear calculation according to the charging pile configuration data, the charging gun configuration data corresponding to the charging gun, the energy storage configuration data corresponding to the energy storage battery, the AC input configuration time corresponding to the AC input, and the charging object configuration data of the charging object in the configuration data.

[0063] Step S204: Input the state monitoring data into the derating cause analysis model to perform derating cause analysis and generate output power derating cause parameter information.

[0064] Specifically, the charging pile 102 can input the state monitoring data into the derating cause analysis model to perform derating cause analysis and generate output power derating cause parameter information. Among them, the derating cause analysis model can be constructed based on, but not limited to, a preset condition determination model.

[0065] Step S205: Generate output power derating analysis result information of the charging gun of the energy storage charging pile based on the output power derating cause parameter information.

[0066] Schematically, the output power derating analysis result information can include output power derating degree information and cause information.

[0067] Schematically, the charging pile 102 can generate output power derating analysis result information of the charging gun of the energy storage charging pile based on the output power derating cause parameter information and in combination with the output power derating coefficient parameter information.

[0068] Optionally, the charging pile 102 can send the output power derating cause parameter information and the output power derating coefficient parameter information to the server, and generate output power derating analysis result information of the charging gun of the energy storage charging pile based on the output power derating analysis model installed in the server.

[0069] Furthermore, the output power derating analysis model can be constructed based on, but not limited to, a BP neural network model and a random forest model.

[0070] In the above output power derating calculation method based on an energy storage charging pile, by obtaining the configuration data of the energy storage charging pile and the status monitoring data when the output power derating coefficient parameter information is lower than the preset threshold, various operating parameters and statuses of the energy storage charging pile and its charging gun can be comprehensively and accurately understood; by inputting the status monitoring data into the derating cause analysis model, the specific reasons for the output power derating can be accurately analyzed; by monitoring and analyzing the output power derating situation in real time, the fault risks that may be caused by power derating can be pre-warned in advance, enabling the operation and maintenance personnel to have sufficient time for inspection and maintenance; the accurate derating cause analysis results can help the operation and maintenance personnel quickly locate the fault points and problems, without the need for a comprehensive and cumbersome inspection of the energy storage charging pile, thereby improving the operation and maintenance efficiency; by accumulating a large amount of configuration data, status monitoring data, and derating cause analysis data, rich data support can be provided for the intelligent management system of the charging station, and thus the intelligent, refined management and optimization and upgrading of the charging station can be realized, improving the overall performance and service quality of the charging station.

[0071] In an alternative embodiment of the present application, the charging gun configuration data includes the rated maximum output power data of the charging gun, and calculating the output power derating coefficient parameter information of the charging gun of the energy storage charging pile according to the configuration data includes:

[0072] Step S303, obtain the actual output power data of the charging gun of the energy storage charging pile.

[0073] Step S304, calculate the ratio data between the actual output power data and the rated maximum output power data of the charging gun.

[0074] Step S305, generate the output power derating coefficient parameter information based on the ratio data.

[0075] In the above output power derating calculation method based on an energy storage charging pile, by calculating the ratio of the actual output power to the rated maximum output power of the charging gun, the power derating situation can be intuitively presented in a quantitative form; enabling the operator to accurately master the power output status of each charging gun, and more precisely identify whether the power has decreased and the degree of decrease.

[0076] In an alternative embodiment of the present application, the charging gun configuration data includes the initial rated maximum output power data of the charging gun and the historical actual output power data of the charging gun. Obtaining the configuration data of the energy storage charging pile may include:

[0077] Step S301, obtain the initial rated maximum output power data of the charging gun, the environmental impact parameter data, and the charging object impact parameter data.

[0078] Step S302: Correct the initial rated maximum output power data of the charging gun based on the historical actual output power data of the charging gun, environmental impact parameter data, and charging object impact parameter data to generate the rated maximum output power data of the charging gun.

[0079] Optionally, the expression of the rated maximum output power data of the charging gun can be:

[0080]

[0081] In the formula, P Rat is the rated maximum output power data of the charging gun, P Ini is the initial rated maximum output power data of the charging gun, N is the number of influencing factors of the maximum output power of the charging gun, is the weight of the kth influencing factor of the maximum output power of the charging gun, and is the kth influencing factor of the maximum output power of the charging gun. Among them, the influencing factors of the maximum output power of the charging gun include the aging attenuation influencing factor calculated based on the historical actual output power data of the charging gun, the charging environment influencing factor calculated based on the environmental impact parameter data, and the target power influencing factor calculated based on the charging object impact parameter data. The target power influencing factor is used to characterize the influence of the maximum power required by the charging object on the rated maximum output power data of the charging gun.

[0082] Exemplarily, the number N of the influencing factors of the maximum output power of the charging gun can be an integer greater than 3, and the influencing factors of the maximum output power of the charging gun can include, but are not limited to, the aging attenuation influencing factor, the charging environment influencing factor, and the target power influencing factor.

[0083] In the above output power derating calculation method based on the energy storage charging pile, by considering the historical actual output power data of the charging gun, environmental impact parameter data, and charging object impact parameter data, the influence of actual operating conditions on the performance of the charging gun can be evaluated more comprehensively, so that the rated maximum output power data can be closer to the actual operating conditions.

[0084] In an optional embodiment of the present application, the output power derating analysis result information includes fault diagnosis report information. Generating the output power derating analysis result information of the energy storage charging pile based on the output power derating cause parameter information may include:

[0085] Step S308: Classify and analyze the output power derating cause parameter information to obtain the output power derating cause classification information.

[0086] Specifically, the output power derating cause classification information may include control strategy reasons and equipment failure reasons.

[0087] If the classification information of the output power derating cause is the equipment failure cause, a fault diagnosis report information is generated based on the output power derating cause parameter information in combination with the output power derating coefficient parameter information.

[0088] In an alternative embodiment of the present application, the fault diagnosis report information includes fault development coefficient information and fault diagnosis abnormal information. If the classification information of the output power derating cause is the equipment failure cause, generating the fault diagnosis report information based on the output power derating cause parameter information in combination with the output power derating coefficient parameter information may include:

[0089] Step S309, generating predicted output power derating coefficient parameter information of the charging gun of the energy storage charging pile based on the output power derating cause parameter information.

[0090] Step S310, calculating the ratio of the output power derating coefficient parameter information to the predicted output power derating coefficient parameter information to obtain the actual output power derating degree information.

[0091] Step S311, if the actual output power derating degree information is less than the fault development analysis threshold corresponding to the output power derating cause parameter information and greater than the fault abnormal analysis threshold corresponding to the output power derating cause parameter information, generating fault development coefficient information according to the actual output power derating degree information.

[0092] Step S312, if the actual output power derating degree information is less than the fault abnormal analysis threshold, generating fault diagnosis abnormal information according to the actual output power derating degree information.

[0093] In the above output power derating calculation method for the energy storage charging pile, by generating the predicted output power derating coefficient parameter information and calculating the actual output power derating degree information, the specific influence degree of the equipment failure on the output power of the charging gun can be accurately evaluated, and a detailed fault influence analysis report can be provided for the operation and maintenance personnel; through the early warning and timely handling of faults, the charging interruption or delay caused by faults can be reduced, ensuring that users can obtain continuous and stable charging services.

[0094] In an alternative embodiment of the present application, the equipment failure cause includes external equipment failure cause and internal equipment failure cause, and the fault diagnosis report information includes confirmation report information of the charging object manager and charging pile fault repair report information. If the classification information of the output power derating cause is the equipment failure cause, generating the fault diagnosis report information based on the output power derating cause parameter information in combination with the output power derating coefficient parameter information includes:

[0095] If the equipment failure cause is the external equipment failure cause, generating the confirmation report information of the charging object manager based on the output power derating cause parameter information in combination with the output power derating coefficient parameter information.

[0096] If the cause of the equipment failure is an internal equipment failure cause, generate charging pile fault repair report information based on the output power derating cause parameter information in combination with the output power derating coefficient parameter information.

[0097] In an alternative embodiment of the present application, the status monitoring data includes grid input data, charging object SOC data, charging pile working mode data, and charging pile status label data. Input the status monitoring data into the derating cause analysis model for derating cause analysis to generate output power derating cause parameter information for the charging gun, which may include:

[0098] If the grid input power data is lower than the preset grid input power threshold, set the output power derating cause parameter information as the grid input limit derating label data.

[0099] If the charging object SOC data meets the SOC charging protection limit condition, set the output power derating cause parameter information as the SOC limit derating label data.

[0100] If the charging pile working mode data is non-working time mode data, set the output power derating cause parameter information as the working mode limit derating label data.

[0101] If the charging pile status label data is the charging pile fault label data corresponding to a fault in the energy storage charging pile, set the output power derating cause parameter information as the charging pile fault limit derating label data.

[0102] In an exemplary embodiment of the present application, as Figure 2 shown, a method for calculating the output power derating of an energy storage charging pile is provided, including the following steps S301 to step S312. Among them:

[0103] Step S301, obtain the initial rated maximum output power data of the charging gun, environmental impact parameter data, and charging object impact parameter data.

[0104] Step S302, correct the initial rated maximum output power data of the charging gun based on the charging gun historical actual output power data, environmental impact parameter data, and charging object impact parameter data to generate the rated maximum output power data of the charging gun.

[0105] Step S303, obtain the actual output power data of the charging gun of the energy storage charging pile.

[0106] Step S304, calculate the ratio data between the actual output power data and the rated maximum output power data of the charging gun.

[0107] Step S305, generate output power derating coefficient parameter information based on the ratio data.

[0108] In step S306, if the output power derating coefficient parameter information is lower than the preset derating cause analysis threshold, obtain the status monitoring data of the energy storage charging pile.

[0109] In step S307, input the status monitoring data into the derating cause analysis model to perform derating cause analysis and generate output power derating cause parameter information.

[0110] In step S308, perform classification analysis on the output power derating cause parameter information to obtain output power derating cause classification information.

[0111] In step S309, generate predicted output power derating coefficient parameter information for the charging gun of the energy storage charging pile based on the output power derating cause parameter information.

[0112] In step S310, calculate the ratio of the output power derating coefficient parameter information to the predicted output power derating coefficient parameter information to obtain the actual output power derating degree information.

[0113] In step S311, if the actual output power derating degree information is less than the fault development analysis threshold corresponding to the output power derating cause parameter information and greater than the fault anomaly analysis threshold corresponding to the output power derating cause parameter information, generate fault development coefficient information based on the actual output power derating degree information.

[0114] In step S312, if the actual output power derating degree information is less than the fault anomaly analysis threshold, generate fault diagnosis anomaly information based on the actual output power derating degree information.

[0115] In the above output power derating calculation method for the energy storage charging pile, it is possible to achieve precise monitoring, analysis, and classification of the output power derating situation of the energy storage charging pile, which can provide detailed and real-time fault information for the operation and maintenance personnel, help quickly locate the root cause of the problem, optimize the allocation of operation and maintenance resources, improve the reliability and stability of the system, and ensure the user experience; at the same time, through data-driven analysis and prediction, it can support intelligent operation and maintenance management, reduce operation costs, and improve economic benefits.

[0116] In an exemplary embodiment of the present application, two parameters can be defined in the charging pile. Parameter 1 is "output power derating coefficient", and parameter 2 is "output power derating cause". The charging pile can send the values of these two parameters to the cloud platform.

[0117] Optionally, if the charging pile has multiple charging guns, independent parameter 1 and parameter 2 can be set for each charging gun.

[0118] Optionally, parameter 1 can be set as: "available power of the charging gun / rated maximum output power of the charging gun".

[0119] Exemplarily, the maximum output power of the charging gun can be a fixed value (e.g., 150 kw). At this time, the "output power derating factor" can be a value between "0 and 1".

[0120] Optionally, parameter 2 can be judged by the EMS according to the actual state of the system. The value of parameter 2 is defined as follows:

[0121] Reason 0: None / / The current derating factor is 1, and the power is not derated.

[0122] Reason 1: No AC grid input / / There is no AC grid input, and the maximum power cannot be output. The EMS can judge whether this condition is triggered by monitoring the input voltage of the AC meter.

[0123] Reason 2: SOC limitation (≤30%) / / The SOC of the charging pile is limited. To protect the battery, the output power will be reduced. The EMS can judge whether this condition is triggered by receiving the SOC value transmitted by the BMS.

[0124] Reason 3: Out of hour mode / / The charging pile is in the off-peak mode, and the charging pile cannot discharge externally in this mode. The EMS can judge whether the entire pile is in this mode through the charging pile state machine.

[0125] Reason 4: System failure / / The charging pile system fails, and the maximum power cannot be output or the power cannot be output. The EMS can judge whether this condition is triggered by DTC.

[0126] Schematically, the background operator can judge whether the current charging gun has power derating through parameter 1 of each charging gun on the charging pile. If the value of parameter 1 is "1", it means that the current charging gun has no power derating and everything is normal; if the value of parameter 1 is less than the preset threshold, it means that the current charging gun cannot discharge at the maximum power. At this time, parameter 2 can be used to determine the specific reason for troubleshooting and repair.

[0127] Furthermore, the derating reasons can be divided into three categories. The first category is external reasons, that is, reason 1 above; the second category is internal policy reasons, that is, reasons 2 and 3 above; the third category of reasons is internal failure reasons, that is, reason 4 above.

[0128] Exemplarily, the operator can intuitively confirm whether the current charging gun has power derating according to parameter 1. When it is confirmed that the charging gun has power derating, the specific reason can be located according to parameter 2. If it is an external reason, the grid management personnel can be contacted in time for confirmation; if it is an internal policy reason, no treatment is required; if it is an internal failure reason, professional maintenance personnel can be sent in time for repair.

[0129] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are sequentially shown according to the indications of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0130] Based on the same inventive concept, an embodiment of the present application further provides a device for calculating the output power derating of a storage energy charging pile for implementing the above-mentioned method for calculating the output power derating of a storage energy charging pile. The implementation solutions provided by this device for solving problems are similar to the implementation solutions described in the above method. Therefore, the specific limitations in one or more embodiments of the device for calculating the output power derating of a storage energy charging pile provided below can refer to the limitations on the method for calculating the output power derating of a storage energy charging pile in the above text, and will not be repeated here.

[0131] In an exemplary embodiment, as Figure 4 shown, a device 400 for calculating the output power derating of a storage energy charging pile is provided, including:

[0132] A configuration parameter acquisition module 401, which can be used to acquire the configuration data of the storage energy charging pile, and the configuration data includes charging gun configuration data.

[0133] A derating coefficient calculation module 402, which can be used to calculate the output power derating coefficient parameter information of the charging gun of the storage energy charging pile according to the configuration data.

[0134] A charging state monitoring module 403, which can be used to acquire the state monitoring data of the storage energy charging pile if the output power derating coefficient parameter information is lower than a preset derating reason analysis threshold.

[0135] A derating reason analysis module 404, which can be used to input the state monitoring data into a derating reason analysis model to perform derating reason analysis and generate the output power derating reason parameter information of the charging gun.

[0136] An analysis result generation module 405, which can be used to generate the output power derating analysis result information of the charging gun of the storage energy charging pile based on the output power derating reason parameter information.

[0137] In an alternative embodiment of the present application, the charging gun configuration data includes the rated maximum output power data of the charging gun, and the derating factor calculation module 402 can also be used for:

[0138] Obtain the actual output power data of the charging gun of the energy storage charging pile.

[0139] Calculate the ratio data between the actual output power data and the rated maximum output power data of the charging gun.

[0140] Generate output power derating factor parameter information based on the ratio data.

[0141] In an alternative embodiment of the present application, the configuration parameter acquisition module 401 can also be used for:

[0142] Obtain the initial rated maximum output power data of the charging gun, the environmental impact parameter data, and the charging object impact parameter data.

[0143] Correct the initial rated maximum output power data of the charging gun based on the charging gun historical actual output power data, the environmental impact parameter data, and the charging object impact parameter data to generate the rated maximum output power data of the charging gun.

[0144] In an alternative embodiment of the present application, the analysis result generation module 405 can also be used for:

[0145] Classify and analyze the output power derating reason parameter information to obtain the output power derating reason classification information, and the output power derating reason classification information includes the control strategy reason and the equipment failure reason.

[0146] If the output power derating reason classification information is the equipment failure reason, generate a fault diagnosis report information based on the output power derating reason parameter information combined with the output power derating factor parameter information.

[0147] In an alternative embodiment of the present application, the analysis result generation module 405 can also be used for:

[0148] Generate the predicted output power derating factor parameter information of the charging gun of the energy storage charging pile based on the output power derating reason parameter information.

[0149] Calculate the ratio of the output power derating factor parameter information and the predicted output power derating factor parameter information to obtain the actual output power derating degree information.

[0150] If the actual output power derating degree information is less than the fault development analysis threshold corresponding to the output power derating reason parameter information and greater than the fault abnormal analysis threshold corresponding to the output power derating reason parameter information, generate a fault development coefficient information according to the actual output power derating degree information.

[0151] If the actual derating degree information of the output power is less than the fault abnormal analysis threshold, fault diagnosis abnormal information is generated according to the actual derating degree information of the output power.

[0152] In an alternative embodiment of the present application, the analysis result generation module 405 can also be used for:

[0153] If the device fault cause is an external device fault cause, based on the output power derating cause parameter information combined with the output power derating coefficient parameter information, confirmation report information for the charging object management personnel is generated.

[0154] If the device fault cause is an internal device fault cause, based on the output power derating cause parameter information combined with the output power derating coefficient parameter information, a fault repair report information for the charging pile is generated.

[0155] In an alternative embodiment of the present application, the derating cause analysis module 404 can also be used for:

[0156] If the grid input power data is lower than the preset grid input power threshold, the output power derating cause parameter information is set to the grid input limit derating label data.

[0157] If the SOC data of the charging object meets the SOC charging protection limit condition, the output power derating cause parameter information is set to the SOC limit derating label data.

[0158] If the charging pile working mode data is non-working time mode data, the output power derating cause parameter information is set to the working mode limit derating label data.

[0159] If the charging pile status label data is the charging pile fault label data corresponding to the energy storage charging pile having a fault, the output power derating cause parameter information is set to the charging pile fault limit derating label data.

[0160] In one embodiment, a computer device is provided, including a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for calculating the output power derating of an energy storage charging pile are implemented.

[0161] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0162] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the descriptions of the method embodiments. The device embodiments described above are only illustrative. The components described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the present disclosure solution. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0163] The above embodiments only represent several implementation manners of the embodiments of the present application. The descriptions are relatively specific and detailed, but should not be construed as limiting the patent scope of the embodiments of the application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the embodiments of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the embodiments of the present application.

Claims

1. A method for calculating the output power derating of an energy storage charging pile, characterized in that, The method includes: Obtaining the configuration data of the energy storage charging pile, where the configuration data includes charging gun configuration data; Calculating parameter information of the output power derating coefficient of the charging gun of the energy storage charging pile according to the configuration data; If the parameter information of the output power derating coefficient is lower than a preset derating cause analysis threshold, obtaining the status monitoring data of the energy storage charging pile; Inputting the status monitoring data into a derating cause analysis model to perform derating cause analysis and generating parameter information of the output power derating cause of the charging gun; Generating derating analysis result information of the output power of the charging gun of the energy storage charging pile based on the parameter information of the output power derating cause.

2. The method according to claim 1, wherein The charging gun configuration data includes charging gun rated maximum output power data, and the calculating the parameter information of the output power derating coefficient of the charging gun of the energy storage charging pile according to the configuration data includes: Obtaining the actual output power data of the charging gun of the energy storage charging pile; Calculating the ratio data between the actual output power data and the charging gun rated maximum output power data; Generating the parameter information of the output power derating coefficient based on the ratio data.

3. The method according to claim 2, wherein The charging gun configuration data includes charging gun initial rated maximum output power data and charging gun historical actual output power data, and the obtaining the configuration data of the energy storage charging pile includes: Obtaining the charging gun initial rated maximum output power data, environmental impact parameter data, and charging object impact parameter data; Correcting the charging gun initial rated maximum output power data based on the charging gun historical actual output power data, the environmental impact parameter data, and the charging object impact parameter data to generate the charging gun rated maximum output power data; The expression of the charging gun rated maximum output power data is: Wherein, P Rat is the rated maximum output power data of the charging gun, P Ini is the initial rated maximum output power data of the charging gun, N is the number of influencing factors of the maximum output power of the charging gun, is the weight of the k-th influencing factor of the maximum output power of the charging gun, and is the k-th influencing factor of the maximum output power of the charging gun; wherein, the influencing factors of the maximum output power of the charging gun include an aging attenuation influencing factor calculated based on the historical actual output power data of the charging gun, a charging environment influencing factor calculated based on the environmental impact parameter data, and a target power influencing factor calculated based on the charging object impact parameter data, and the target power influencing factor is used to characterize the influence of the maximum power required by the charging object on the rated maximum output power data of the charging gun.

4. The method according to claim 1, wherein The derating analysis result information of the output power includes fault diagnosis report information, and the generating the derating analysis result information of the output power of the energy storage charging pile based on the parameter information of the output power derating cause includes: Performing classification analysis on the parameter information of the output power derating cause to obtain output power derating cause classification information, where the output power derating cause classification information includes control strategy cause and equipment failure cause; If the output power derating cause classification information is the equipment failure cause, generating the fault diagnosis report information based on the parameter information of the output power derating cause combined with the parameter information of the output power derating coefficient.

5. The method according to claim 4, wherein The fault diagnosis report information includes fault development coefficient information and fault diagnosis abnormal information, and the if the output power derating cause classification information is the equipment failure cause, generating the fault diagnosis report information based on the parameter information of the output power derating cause combined with the parameter information of the output power derating coefficient includes: Generating parameter information of the expected output power derating coefficient of the charging gun of the energy storage charging pile based on the parameter information of the output power derating cause; Calculating the ratio of the parameter information of the output power derating coefficient and the parameter information of the expected output power derating coefficient to obtain information on the actual derating degree of the output power; If the actual derating degree information of the output power is less than the fault development analysis threshold corresponding to the output power derating cause parameter information and greater than the fault abnormality analysis threshold corresponding to the output power derating cause parameter information, generate the fault development coefficient information according to the actual derating degree information of the output power; If the actual derating degree information of the output power is less than the fault abnormality analysis threshold, generate the fault diagnosis abnormality information according to the actual derating degree information of the output power.

6. The method according to claim 4, wherein The device fault causes include external device fault causes and internal device fault causes. The fault diagnosis report information includes the confirmation report information of the charging object management personnel and the fault repair report information of the charging pile. If the output power derating cause classification information is the device fault cause, based on the output power derating cause parameter information and in combination with the output power derating coefficient parameter information, generate the fault diagnosis report information, including: If the device fault cause is the external device fault cause, generate the confirmation report information of the charging object management personnel based on the output power derating cause parameter information and in combination with the output power derating coefficient parameter information; If the device fault cause is the internal device fault cause, generate the fault repair report information of the charging pile based on the output power derating cause parameter information and in combination with the output power derating coefficient parameter information.

7. The method according to any one of claims 1 to 6, characterized in that, The status monitoring data includes grid input data, charging object SOC data, charging pile working mode data, and charging pile status label data. Input the status monitoring data into the derating cause analysis model to perform derating cause analysis and generate the output power derating cause parameter information of the charging gun, including: If the grid input power data is lower than the preset grid input power threshold, set the output power derating cause parameter information as the grid input limit derating label data; If the charging object SOC data meets the SOC charging protection limit condition, set the output power derating cause parameter information as the SOC limit derating label data; If the charging pile working mode data is non-working time mode data, set the output power derating cause parameter information as the working mode limit derating label data; If the charging pile status label data is the charging pile fault label data corresponding to the energy storage charging pile having a fault, set the output power derating cause parameter information as the charging pile fault limit derating label data.

8. An output power derating calculation device based on an energy storage charging pile, characterized in that, The device includes: A configuration parameter acquisition module, configured to acquire the configuration data of the energy storage charging pile, where the configuration data includes charging gun configuration data; A derating coefficient calculation module, configured to calculate the output power derating coefficient parameter information of the charging gun of the energy storage charging pile according to the configuration data; A charging status monitoring module, configured to acquire the status monitoring data of the energy storage charging pile if the output power derating coefficient parameter information is lower than the preset derating cause analysis threshold; A derating cause analysis module, configured to input the status monitoring data into the derating cause analysis model to perform derating cause analysis and generate the output power derating cause parameter information of the charging gun; An analysis result generation module, configured to generate output power derating analysis result information of the charging gun of the energy storage charging pile based on the output power derating cause parameter information.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the method described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the method described in any one of claims 1 to 7 is implemented.

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