An analysis and processing method for energy storage system and battery management system

Abstract

This application relates to the field of power management technology, and in particular to an analysis and processing method and battery management system for energy storage systems, which collects a first power demand record; performs at least one prediction run on the first power demand record; records multiple cache records and multiple prediction records, wherein the multiple cache records include: the first power demand record; and selects the cache record and multiple prediction records for prediction visualization based on the visualization behavior of the personnel. The present invention solves the problems of low power utilization efficiency, confusing types and difficult management in the multi-party collaboration process of existing energy storage devices.

Description

Technical Field

[0001] The present application relates to the field of electric energy management technology, and in particular to an analysis and processing method for an energy storage system and a battery management system. Background Art

[0002] In the internet age, power management personnel often need to save their energy logs to servers for easy access and management by themselves and others. Traditionally, these logs would be transferred across the network multiple times. The increasing size of these logs increases network transmission time and occupies network storage space with redundant data.

[0003] However, for personnel, when checking different types of power demand, they need to collect data separately. Once multiple types of power demand need to be dispatched, the dispatch efficiency is relatively low. If too many collaborators are involved in the operation and the power demand is too large, the power demand may still be stuck.

[0004] Therefore, there is an urgent need for a method that can improve the efficiency of power point utilization in a multi-party collaborative power consumption scenario. Summary of the Invention

[0005] To achieve the above objectives, this application provides the following technical solutions:

[0006] According to a first aspect of the present invention, the present invention claims protection for an analysis and processing method for an energy storage system, comprising:

[0007] S100 collects a first electricity demand record;

[0008] S101 performs at least one prediction operation on the first electricity demand record, wherein the prediction operation is used to operate on multiple first electricity terminals A;

[0009] S102 records a plurality of cache records and a plurality of prediction records, wherein the plurality of cache records include: a first power demand record; the prediction record includes: metadata and power consumption data content, wherein the metadata includes: a type number of the corresponding cache record, a type number of the prediction record, and a number of power consumption terminals; the power consumption data content includes: a behavior type, a data segment, and index information of the first power consumption terminal A;

[0010] S103 selects the cache record and the plurality of prediction records for prediction visualization based on the visualization behavior of the personnel; wherein S103 includes:

[0011] S31 queries the cached electricity demand database using the index information to see whether there is a second electricity terminal B corresponding to the first electricity terminal A; if yes, execute S32; if not, execute S33;

[0012] S32: collecting the second power terminal B from the power demand database, and generating the first power terminal A based on the power consumption data and the second power terminal B;

[0013] S33 configures the first power terminal A according to the power consumption data content;

[0014] S34 mounts the first power terminal A to the corresponding cache record to complete the prediction visualization.

[0015] Furthermore, when there are multiple cache records, the method further includes the following steps:

[0016] Visualization type number I for collecting charging behavior instructions of personnel and real-time visualization of power demand records;

[0017] Corresponding charging type information and visualization type information are collected according to the charging behavior instruction and the visualization type number I, respectively; wherein the charging type information includes: a first prediction type number of a prediction record associated with a real-time charging type; and the visualization type information includes: a second cache type number of a cache record visualized in real time, and a second prediction type number of a prediction record corresponding to the real-time visualization type;

[0018] collecting a third cache type number of the cache record adjacent to the second cache type number along the charging direction indicated in the charging behavior instruction;

[0019] Calculating a first amount of power required to be processed for synchronization to the charging type using a first synchronization method, wherein the first synchronization method refers to synchronization from the third cache type number to the first predicted type number; and calculating a second amount of power required to be processed for synchronization to the charging type using a second synchronization method, wherein the second synchronization method refers to synchronization from the second predicted type number to the first predicted type number;

[0020] A synchronization method corresponding to the smallest one of the first power amount and the second power amount is filtered out as a recommended synchronization method.

[0021] Furthermore, the method further comprises the steps of:

[0022] S105: Visualizing one of the cache records, where the cache record is associated with a plurality of the prediction records;

[0023] S106 performs a prediction operation on the cache record and determines whether the prediction operation conflicts with the corresponding prediction record; if so, executes S107;

[0024] S107 issues a prompt instruction to the personnel.

[0025] Furthermore, the behavior type includes one or more of the following: adding, deleting, and modifying.

[0026] Furthermore, the index information refers to a unique index or number used to identify the power terminal in the power demand record.

[0027] According to a second aspect of the present invention, the present invention claims protection for a battery management system comprising:

[0028] An electricity demand collection module configured to collect a first electricity demand record;

[0029] an operation module configured to perform at least one prediction operation on the first electricity demand record, wherein the prediction operation is used to operate on a plurality of first electricity terminals A;

[0030] A storage module is configured to record a plurality of cache records and a plurality of prediction records, wherein the plurality of cache records include: a first power demand record; the prediction record includes: metadata and power consumption data content, wherein the metadata includes: a type number of the corresponding cache record, a type number of the prediction record, and a number of power consumption terminals; the power consumption data content includes: a behavior type, a data segment, and index information of the first power consumption terminal A;

[0031] A prediction visualization module is configured to select the cache record and a plurality of prediction records for prediction visualization based on the visualization behavior of the personnel; wherein the prediction visualization module includes:

[0032] a query module configured to query the cached electricity demand database using the index information to determine whether there is a second electricity terminal B corresponding to the first electricity terminal A;

[0033] a first configuration module configured to collect the second power terminal B from a power demand database and generate the first power terminal A based on the power demand data and the second power terminal B;

[0034] a second configuration module configured to configure the first power terminal A according to the power usage data when the second power terminal B is not found;

[0035] The visualization module is configured to mount the first power terminal A to the corresponding cache record to complete the prediction visualization.

[0036] This application relates to the field of power management technology, and in particular to an analysis and processing method and battery management system for energy storage systems, which collects a first power demand record; performs at least one prediction run on the first power demand record; records multiple cache records and multiple prediction records, wherein the multiple cache records include: the first power demand record; and selects the cache record and multiple prediction records for prediction visualization based on the visualization behavior of the personnel. The present invention solves the problems of low power utilization efficiency, confusing types and difficult management in the multi-party collaboration process of existing energy storage devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A flowchart of an analysis and processing method for an energy storage system as claimed in an embodiment of the present application;

[0038] Figure 2 This is a structural module diagram of an analysis and processing system for an energy storage system as claimed in an embodiment of the present application. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0040] The terms "first," "second," and "third" in this application are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features indicated. Therefore, features specified as "first," "second," or "third" may explicitly or implicitly include multiple such features. In the description of this application, "multiple" means at least two, for example, two, three, etc., unless otherwise specifically defined. All directional indications in the embodiments of this application (such as up, down, left, right, front, back, etc.) are intended only to illustrate the relative positional relationships and movement of components in a specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indications will also change accordingly. Furthermore, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device comprising a series of steps or modules is not limited to the listed steps or modules and may optionally include steps or modules not listed, or may optionally include other steps or modules inherent to such process, method, product, or device.

[0041] References to "embodiments" herein mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in multiple embodiments of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0042] According to a first embodiment of the present invention, the present invention claims protection for an analysis and processing method for an energy storage system, referring to Figure 1 ,include:

[0043] S100 collects a first electricity demand record;

[0044] S101 performs at least one prediction operation on the first electricity demand record, wherein the prediction operation is used to operate on multiple first electricity terminals A;

[0045] S102 records a plurality of cache records and a plurality of prediction records, wherein the plurality of cache records include: a first power demand record; the prediction record includes: metadata and power consumption data content, wherein the metadata includes: a type number of the corresponding cache record, a type number of the prediction record, and a number of power consumption terminals; the power consumption data content includes: a behavior type, a data segment, and index information of the first power consumption terminal A;

[0046] S103 selects the cache record and the plurality of prediction records for prediction visualization based on the visualization behavior of the personnel; wherein S103 includes:

[0047] S31 queries the cached electricity demand database using the index information to see whether there is a second electricity terminal B corresponding to the first electricity terminal A; if yes, execute S32; if not, execute S33;

[0048] S32: collecting the second power terminal B from the power demand database, and generating the first power terminal A based on the power consumption data and the second power terminal B;

[0049] S33 configures the first power terminal A according to the power consumption data content;

[0050] S34 mounts the first power terminal A to the corresponding cache record to complete the prediction visualization.

[0051] Furthermore, when there are multiple cache records, the method further includes the following steps:

[0052] Visualization type number I for collecting charging behavior instructions of personnel and real-time visualization of power demand records;

[0053] Corresponding charging type information and visualization type information are collected according to the charging behavior instruction and the visualization type number I, respectively; wherein the charging type information includes: a first prediction type number of a prediction record associated with a real-time charging type; and the visualization type information includes: a second cache type number of a cache record visualized in real time, and a second prediction type number of a prediction record corresponding to the real-time visualization type;

[0054] collecting a third cache type number of the cache record adjacent to the second cache type number along the charging direction indicated in the charging behavior instruction;

[0055] Calculating a first amount of power required to be processed for synchronization to the charging type using a first synchronization method, wherein the first synchronization method refers to synchronization from the third cache type number to the first predicted type number; and calculating a second amount of power required to be processed for synchronization to the charging type using a second synchronization method, wherein the second synchronization method refers to synchronization from the second predicted type number to the first predicted type number;

[0056] A synchronization method corresponding to the smallest one of the first power amount and the second power amount is filtered out as a recommended synchronization method.

[0057] Furthermore, S102 includes:

[0058] S21 configures a cache record and configures a prediction record associated with the real-time cache record;

[0059] S22 determines whether the storage index of the real-time prediction record is greater than a preset storage threshold; wherein the storage index includes one or more of the following: record size, the number of the first power-consuming terminals, and record configuration duration;

[0060] If the record of S22 is no, then step S24 is executed; S24 stores the data related to the real-time prediction operation into the real-time prediction record;

[0061] If the answer of step S22 is yes, step S25 is executed; step S25 determines whether the prediction index of the plurality of prediction records associated with the real-time cache record is greater than a preset prediction threshold; wherein the prediction index includes one or more of the following: the number of the prediction records, or the total record size of the plurality of prediction records;

[0062] If the record of S25 is no, step S23 is executed; S23 configures a new prediction record corresponding to the real-time cache record, and stores data related to the real-time prediction operation in the new prediction record.

[0063] Furthermore, the method further comprises the steps of:

[0064] Visualizing one of the cache records, wherein the cache record is associated with a plurality of the prediction records;

[0065] Perform a prediction run on the cache record, and determine whether the prediction run conflicts with the corresponding prediction record; if so, issue a prompt instruction to the personnel.

[0066] Furthermore, the behavior type includes one or more of the following: adding, deleting, and modifying.

[0067] Furthermore, the index information refers to a unique index or number used to identify the power terminal in the power demand record.

[0068] According to the second embodiment of the present invention, referring to Figure 2 The present invention claims protection for a battery management system, comprising:

[0069] An electricity demand collection module configured to collect a first electricity demand record;

[0070] an operation module configured to perform at least one prediction operation on the first electricity demand record, wherein the prediction operation is used to operate on a plurality of first electricity terminals A;

[0071] A storage module is configured to record a plurality of cache records and a plurality of prediction records, wherein the plurality of cache records include: a first power demand record; the prediction record includes: metadata and power consumption data content, wherein the metadata includes: a type number of the corresponding cache record, a type number of the prediction record, and a number of power consumption terminals; the power consumption data content includes: a behavior type, a data segment, and index information of the first power consumption terminal A;

[0072] A prediction visualization module is configured to select the cache record and a plurality of prediction records for prediction visualization based on the visualization behavior of the personnel; wherein the prediction visualization module includes:

[0073] a query module configured to query the cached electricity demand database using the index information to determine whether there is a second electricity terminal B corresponding to the first electricity terminal A;

[0074] a first configuration module configured to collect the second power terminal B from a power demand database and generate the first power terminal A based on the power demand data and the second power terminal B;

[0075] a second configuration module configured to configure the first power terminal A according to the power usage data when the second power terminal B is not found;

[0076] The visualization module is configured to mount the first power terminal A to the corresponding cache record to complete the prediction visualization.

[0077] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of modules is only a logical type of division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the coupling or direct coupling or communication connection between each other that is visualized or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0078] In addition, the various types of modules in the various embodiments of the present application can be integrated into one processing module, or each module can be physically provided separately, or two or more modules can be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software modules. The above is only an implementation method of the present application and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

[0079] The above detailed description of the specific embodiments of the invention is intended only as an example, and the present application is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions of the invention are also within the scope of the present application. Therefore, equivalent changes, modifications, and improvements made without departing from the spirit and scope of the present application should be included within the scope of the present application.

Claims

1. An analysis and processing method for an energy storage system, characterized in that: include: S101 collects a first electricity demand record; S102: performing at least one prediction operation on the first electricity demand record, wherein the prediction operation is used to operate on multiple first electricity terminals A; S103 records a plurality of cache records and a plurality of prediction records, wherein the plurality of cache records include: a first power demand record; the prediction record includes: metadata and power consumption data content, wherein the metadata includes: a type number of the corresponding cache record, a type number of the prediction record, and a number of power consumption terminals; the power consumption data content includes: a behavior type, a data segment, and index information of the first power consumption terminal A; S104 selects the cache record and the plurality of prediction records for prediction visualization based on the visualization behavior of the personnel; wherein S104 includes: S31 queries the cached electricity demand database using the index information to see whether there is a second electricity terminal B corresponding to the first electricity terminal A; if yes, execute S32; if not, execute S33; S32: collecting the second power terminal B from the power demand database, and generating the first power terminal A based on the power consumption data and the second power terminal B; S33 configures the first power terminal A according to the power consumption data content; S34 mounts the first power terminal A to the corresponding cache record to complete the prediction visualization.

2. The method according to claim 1, wherein When there are multiple cache records, the step of: Visualization type number I for collecting charging behavior instructions of personnel and real-time visualization of power demand records; Corresponding charging type information and visualization type information are collected according to the charging behavior instruction and the visualization type number I, respectively; wherein the charging type information includes: a first prediction type number of a prediction record associated with a real-time charging type; and the visualization type information includes: a second cache type number of a cache record visualized in real time, and a second prediction type number of a prediction record corresponding to the real-time visualization type; collecting a third cache type number of the cache record adjacent to the second cache type number along the charging direction indicated in the charging behavior instruction; Calculating a first amount of power required to be processed for synchronization to the charging type using a first synchronization method, wherein the first synchronization method refers to synchronization from the third cache type number to the first predicted type number; and calculating a second amount of power required to be processed for synchronization to the charging type using a second synchronization method, wherein the second synchronization method refers to synchronization from the second predicted type number to the first predicted type number; A synchronization method corresponding to the smallest one of the first power amount and the second power amount is filtered out as a recommended synchronization method.

3. The method according to claim 1, wherein Also includes the steps: S105: Visualizing one of the cache records, where the cache record is associated with a plurality of the prediction records; S106 performs a prediction operation on the cache record and determines whether the prediction operation conflicts with the corresponding prediction record; if so, executes S107; S107 issues a prompt instruction to the personnel.

4. The method according to claim 3, wherein The behavior type includes one or more of the following: adding, deleting, and modifying.

5. The method according to any one of claims 1 to 4, wherein: The index information refers to a unique index or number used to identify the electricity terminal in the electricity demand record.

6. A battery management system, characterized in that: include: An electricity demand collection module configured to collect a first electricity demand record; an operation module configured to perform at least one prediction operation on the first electricity demand record, wherein the prediction operation is used to operate on a plurality of first electricity terminals A; A storage module is configured to record a plurality of cache records and a plurality of prediction records, wherein the plurality of cache records include: a first power demand record; the prediction record includes: metadata and power consumption data content, wherein the metadata includes: a type number of the corresponding cache record, a type number of the prediction record, and a number of power consumption terminals; the power consumption data content includes: a behavior type, a data segment, and index information of the first power consumption terminal A; A prediction visualization module is configured to select the cache record and a plurality of prediction records for prediction visualization based on the visualization behavior of the personnel; wherein the prediction visualization module includes: a query module configured to query the cached electricity demand database using the index information to determine whether there is a second electricity terminal B corresponding to the first electricity terminal A; a first configuration module configured to collect the second power terminal B from a power demand database and generate the first power terminal A based on the power demand data and the second power terminal B; a second configuration module configured to configure the first power terminal A according to the power usage data when the second power terminal B is not found; The visualization module is configured to mount the first power terminal A to the corresponding cache record to complete the prediction visualization.

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