Analyzing and processing method for energy storage system and battery management system

Abstract

The invention relates to the technical field of electric energy management, in particular to an analysis processing method for an energy storage system and a battery management system. Carrying out at least one time of prediction operation on the first electricity demand record; recording a plurality of cache records and a plurality of prediction records, the plurality of cache records including a first electricity demand record; and selecting the cache record and the plurality of prediction records for prediction visualization according to the visualization behavior of the personnel. The problems that in the multi-party cooperation process of existing energy storage equipment, the electric energy use efficiency is low, types are disordered, and management is difficult are solved.

Description

Technical Field

[0001] This application relates to the technical field of power management, and particularly to an analysis and processing method for an energy storage system and a battery management system. Background Art

[0002] In the Internet era, the power logs managed by power management personnel often need to be saved to the server for easy reading and management by themselves and other personnel. In the past, we would perform network transmissions multiple times for a managed record. At this time, the continuously increasing records will lead to an increase in network transmission time and cause a large amount of redundant data to occupy network storage space.

[0003] However, for personnel, when viewing different types of electricity consumption demands, they need to collect data separately each time. Once they need to schedule multiple types of electricity consumption demands, the scheduling efficiency is relatively low. Once there are too many collaborating parties participating in the operation and the electricity consumption demand is too large, there may still be a lag problem in the electricity consumption demand.

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

[0005] To achieve the above object, the present application provides the following technical solutions: 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, including: S100 Collect the first electricity consumption demand record; S101 Perform at least one predictive operation on the first electricity consumption demand record, where the predictive operation is used to operate on multiple first electricity consumption terminals A; S102 Record multiple cache records and multiple prediction records, where the multiple cache records include: the first electricity consumption demand record; the prediction records include: metadata and electricity consumption data content, and the metadata includes: the type number of the corresponding cache record, the type number of the prediction record, and the number of electricity consumption terminals; the electricity consumption data content includes: the behavior type, data segment, and index information of the first electricity consumption terminal A; S103 Select the cache record and multiple prediction records for predictive visualization according to the visual behavior of the personnel; where S103 includes: S31 Query whether there is a second electricity consumption terminal B corresponding to the first electricity consumption terminal A in the electricity consumption demand database of the cache record through the index information; if so, execute S32, if not, execute S33; S32 Collect the second electricity consumption terminal B from the electricity consumption demand database and generate the first electricity consumption terminal A according to the electricity consumption data content and the second electricity consumption terminal B; Configure the first power consumption terminal A according to the power consumption data content; Mount the first power consumption terminal A to the corresponding cache record to complete prediction visualization.

[0006] Furthermore, when there are multiple cache records, the method further includes the steps of: Collect the charging behavior instruction of the personnel and the visualization type number I of the real-time visualized power consumption demand record; Collect the corresponding charging type information and visualization type information according to the charging behavior instruction and the visualization type number I respectively; wherein, the charging type information includes: the first prediction type number of the prediction record associated with the real-time charging type; the visualization type information includes: the second cache type number of the cache record visualized in real time, and the second prediction type number of the prediction record corresponding to the real-time visualization type; Collect the 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; Calculate the first amount of electricity to be processed for synchronizing to the charging type by the first synchronization method, where the first synchronization method refers to synchronizing from the third cache type number to the first prediction type number; and calculate the second amount of electricity to be processed for synchronizing to the charging type by the second synchronization method, where the second synchronization method refers to synchronizing from the second prediction type number to the first prediction type number; Filter out the synchronization method corresponding to the smallest one of the first amount of electricity and the second amount of electricity as the recommended synchronization method.

[0007] Furthermore, the method further includes the steps of: Visualize one of the cache records, and the cache record is associated with multiple prediction records; Perform a prediction run on the cache record and determine whether there is a conflict between the prediction run and the corresponding prediction record; if so, execute S107; Send a prompt instruction to the personnel.

[0008] Furthermore, the behavior type includes one or more of the following: addition, deletion, modification.

[0009] Furthermore, the index information refers to the unique index or number used to identify the power consumption terminal in the power consumption demand record.

[0010] According to the second aspect of the present invention, the present invention claims protection for a battery management system, including: A power consumption demand acquisition module, which is set to acquire the first power consumption demand record; An operation module is configured to perform at least one predictive operation on the first electricity demand record, where the predictive operation is used to operate multiple first electricity consumption terminals A. A storage module is configured to record multiple cache records and multiple prediction records, where the multiple cache records include: the first electricity demand record; the prediction records include: metadata and electricity consumption data content, and the metadata includes: the type number of the corresponding cache record, the type number of the prediction record, and the number of electricity consumption terminals; the electricity consumption data content includes: the behavior type, data segment, and index information of the first electricity consumption terminal A. A prediction visualization module is configured to select the cache record and multiple prediction records for prediction visualization according to the visualization behavior of the person; where the prediction visualization module includes: A query module is configured to query whether there is a second electricity consumption terminal B corresponding to the first electricity consumption terminal A in the electricity demand database of the cache record through the index information. A first configuration module is configured to collect the second electricity consumption terminal B from the electricity demand database and generate the first electricity consumption terminal A according to the electricity consumption data content and the second electricity consumption terminal B. A second configuration module is configured to configure the first electricity consumption terminal A according to the electricity consumption data content when the second electricity consumption terminal B is not queried. A visualization module is configured to mount the first electricity consumption terminal A to the corresponding cache record to complete prediction visualization.

[0011] This application relates to the technical field of power energy management, and particularly relates to an analysis and processing method for an energy storage system and a battery management system, which collects the first electricity demand record; performs at least one predictive operation on the first electricity demand record; records multiple cache records and multiple prediction records, where the multiple cache records include: the first electricity demand record; and selects the cache record and multiple prediction records for prediction visualization according to the visualization behavior of the person. The present invention solves the problems of low power energy usage efficiency and difficult management due to chaotic types in the multi-party collaboration process of existing energy storage devices. Description of the Drawings

[0012] Figure 1 It is a working flowchart of an analysis and processing method for an energy storage system requested to be protected by an embodiment of this application. Figure 2 It is a structural block diagram of an analysis and processing system for an energy storage system requested to be protected by an embodiment of this application. Detailed Embodiments

[0013] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts belong to the scope of protection of the present application.

[0014] The terms "first", "second", and "third" in the present application are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second", and "third" may explicitly or implicitly include multiple such features. In the description of the present application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of the present application are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or modules is not limited to the listed steps or modules, but may optionally further include unlisted steps or modules, or may optionally further include other steps or modules inherent to these processes, methods, products, or devices.

[0015] Referring to "embodiments" herein means that the specific features, structures, or characteristics described in connection with the embodiments may be included in multiple embodiments of the present application. The phrase may not necessarily refer to the same embodiment each time it appears in the specification, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.

[0016] According to the first embodiment of the present invention, the present invention claims a method for analysis and processing of an energy storage system, referring to Figure 1 , including: S100 Collect the first electricity demand record; S101 Perform at least one prediction run on the first electricity demand record, where the prediction run is used to operate multiple first electricity-consuming terminals A; S102 records multiple cache records and multiple prediction records. Among them, the multiple cache records include: a first electricity demand record; the prediction records include: metadata and electricity data content, and the metadata includes: the type number of the corresponding cache record, the type number of the prediction record, and the number of electricity consumption terminals; the electricity data content includes: the behavior type, data segment, and index information of the first electricity consumption terminal A; S103 selects the cache record and multiple prediction records for predictive visualization based on the visual behavior of the person; among them, S103 includes: S31 queries whether there is a second electricity consumption terminal B corresponding to the first electricity consumption terminal A in the electricity demand database of the cache record through the index information; if so, execute S32, if not, execute S33; S32 collects the second electricity consumption terminal B from the electricity demand database and generates the first electricity consumption terminal A according to the electricity data content and the second electricity consumption terminal B; S33 configures the first electricity consumption terminal A according to the electricity data content; S34 mounts the first electricity consumption terminal A to the corresponding cache record to complete predictive visualization.

[0017] Further, when there are multiple cache records, it further includes the steps of: Collect the charging behavior instruction of the person and the visualization type number I of the currently visualized electricity demand record; Respectively collect the corresponding charging type information and visualization type information according to the charging behavior instruction and the visualization type number I; among them, the charging type information includes: the first prediction type number of the prediction record associated with the real-time charging type; the visualization type information includes: the second cache type number of the currently visualized cache record, and the second prediction type number of the prediction record corresponding to the real-time visualization type; Collect the 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; Calculate the first amount of electricity required to be synchronized to the charging type through the first synchronization method, where the first synchronization method refers to synchronizing from the third cache type number to the first prediction type number; and calculate the second amount of electricity required to be synchronized to the charging type through the second synchronization method, where the second synchronization method refers to synchronizing from the second prediction type number to the first prediction type number; Filter out the synchronization method corresponding to the minimum of the first amount of electricity and the second amount of electricity as the recommended synchronization method.

[0018] Further, S102 includes: S21 configures cache records and configures prediction records associated with the real-time cache records; S22 determines whether the storage metrics of the real-time prediction records are greater than a preset storage threshold; wherein, the storage metrics include one or more of the following: record size, the number of the first power consumption terminals, record configuration duration; If the record of S22 is negative, step S24 is executed; S24 stores data related to the real-time prediction operation into the real-time prediction record; If the record of S22 is positive, step S25 is executed; S25 determines whether the prediction metrics of multiple prediction records associated with the real-time cache record are greater than a preset prediction threshold; wherein, the prediction metrics include one or more of the following: the number of the prediction records, or the total record size of multiple prediction records; If the record of S25 is negative, step S23 is executed; S23 configures a new prediction record for the real-time cache record and stores data related to the real-time prediction operation into the new prediction record.

[0019] Further, it further includes steps: Visualize one of the cache records, and the cache record is associated with multiple prediction records; Perform a prediction operation on the cache record and determine whether there is a conflict between the prediction operation and the corresponding prediction record; if so, a prompt instruction is sent to the personnel.

[0020] Further, the behavior type includes one or more of the following: addition, deletion, modification.

[0021] Further, the index information refers to the unique index or number used to identify the power consumption terminal in the power consumption demand record.

[0022] According to the second embodiment of the present invention, referring to Figure 2 , the present invention claims protection for a battery management system, including: A power consumption demand acquisition module, which is set to acquire first power consumption demand records; An operation module, which is set to perform at least one prediction operation on the first power consumption demand records, wherein the prediction operation is used to perform an operation on multiple first power consumption terminals A; A storage module is configured to record a plurality of cache records and a plurality of prediction records. Among them, the plurality of cache records include: a first power consumption demand record; the prediction records include: metadata and power consumption data content, and the metadata includes: the type number of the corresponding cache record, the type number of the prediction record, and the number of power consumption terminals; the power consumption data content includes: the behavior type, data segment, and index information of the first power consumption terminal A. A prediction visualization module is configured to select the cache records and the plurality of prediction records for prediction visualization according to the visualization behavior of a person; among them, the prediction visualization module includes: A query module is configured to query whether there is a second power consumption terminal B corresponding to the first power consumption terminal A in the power consumption demand database of the cache record through the index information. A first configuration module is configured to collect the second power consumption terminal B from the power consumption demand database and generate the first power consumption terminal A according to the power consumption data content and the second power consumption terminal B. A second configuration module is configured to configure the first power consumption terminal A according to the power consumption data content when the second power consumption terminal B is not queried. A visualization module is configured to mount the first power consumption terminal A to the corresponding cache record to complete prediction visualization.

[0023] In several embodiments provided in the present application, it should be understood that the disclosed system, device, and method can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules is only a logical type of division. In actual implementation, there may be other division methods. For example, 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 visualized or discussed coupling or direct coupling or communication connection between each other can be through some interfaces, and the indirect coupling or communication connection of devices or modules can be in electrical, mechanical, or other forms.

[0024] In addition, the various types of modules in each embodiment of the present application can be integrated in a processing module, or each module can be physically separate, or two or more modules can be integrated in one module. The above integrated modules can be implemented in the form of hardware or in the form of software type modules. The above is only the implementation mode of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the specification and drawings of the present application, or directly or indirectly applied to other related technical fields, is equally included in the patent protection scope of the present application.

[0025] The specific embodiments of the invention have been described in detail above, but they are only examples, and the present application is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions to the invention are also within the scope of the present application. Therefore, all equivalent transformations, modifications, improvements, etc. made without departing from the spirit and principles of the present application should be covered within the scope of the present application.

Claims

1. An analysis and processing method for an energy storage system, characterized in that, Including: S100 collects the first electricity demand record; S101 performs at least one prediction run on the first electricity demand record, where the prediction run is used to operate on multiple first electricity-consuming terminals A; S102 records multiple cache records and multiple prediction records, where the multiple cache records include: the first electricity demand record; the prediction records include: metadata and electricity consumption data content, and the metadata includes: the type number of the corresponding cache record, the type number of the prediction record, and the number of electricity-consuming terminals; the electricity consumption data content includes: the behavior type, data segment, and index information of the first electricity-consuming terminal A; S103 selects the cache record and multiple prediction records for prediction visualization according to the visual behavior of the personnel; where S103 includes: S31 queries whether there is a second electricity-consuming terminal B corresponding to the first electricity-consuming terminal A in the electricity demand database of the cache record through the index information; if so, execute S32, if not, execute S33; S32 collects the second electricity-consuming terminal B from the electricity demand database and generates the first electricity-consuming terminal A according to the electricity consumption data content and the second electricity-consuming terminal B; S33 configures the first electricity-consuming terminal A according to the electricity consumption data content; S34 mounts the first electricity-consuming terminal A to the corresponding cache record to complete prediction visualization.

2. The method according to claim 1, characterized in that, When there are multiple cache records, it further includes the steps: Collect the charging behavior instruction of the personnel and the visualization type number I of the visualized electricity demand record in real time; Respectively collect the corresponding charging type information and visualization type information according to the charging behavior instruction and the visualization type number I; where the charging type information includes: the first prediction type number of the prediction record associated with the real-time charging type; the visualization type information includes: the second cache type number of the cache record visualized in real time, and the second prediction type number of the prediction record corresponding to the real-time visualization type; Collect the 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; Calculate the first amount of electricity required to be synchronized to the charging type by the first synchronization method, where the first synchronization method refers to synchronizing from the third cache type number to the first prediction type number; and calculate the second amount of electricity required to be synchronized to the charging type by the second synchronization method, where the second synchronization method refers to synchronizing from the second prediction type number to the first prediction type number; Filter out the synchronization method corresponding to the smallest one of the first amount of electricity and the second amount of electricity as the recommended synchronization method.

3. The method according to claim 1, wherein It further includes the steps: S105 visualizes one of the cache records, and the cache record is associated with multiple prediction records; S106 performs a prediction run on the cache record and determines whether there is a conflict between the prediction run and the corresponding prediction record; if so, execute S107; S107 issues a prompt instruction to the personnel.

4. The method according to claim 3, characterized in that The behavior types include one or more of the following: addition, deletion, and modification.

5. The method according to any one of claims 1-4, characterized in that, The index information refers to the unique index or number used to identify the power consumption terminal in the power consumption demand record.

6. A battery management system, characterized in that, Including: A power consumption demand acquisition module, which is set to acquire the first power consumption demand record; An operation module, which is set to perform at least one predictive operation on the first power consumption demand record, wherein the predictive operation is used to operate on a plurality of first power consumption terminals A; A storage module, which is set to record a plurality of cache records and a plurality of prediction records, wherein the plurality of cache records include: the first power consumption demand record; the prediction records include: metadata and power consumption data content, and the metadata includes: the type number of the corresponding cache record, the type number of the prediction record, and the number of power consumption terminals; the power consumption data content includes: the behavior type, data segment, and index information of the first power consumption terminal A; A prediction visualization module, which is set to select the cache record and a plurality of the prediction records for prediction visualization according to the visualization behavior of the personnel; wherein the prediction visualization module includes: A query module, which is set to query whether there is a second power consumption terminal B corresponding to the first power consumption terminal A in the power consumption demand database of the cache record through the index information; A first configuration module, which is set to collect the second power consumption terminal B from the power consumption demand database and generate the first power consumption terminal A according to the power consumption data content and the second power consumption terminal B; A second configuration module, which is set to configure the first power consumption terminal A according to the power consumption data content when the second power consumption terminal B is not queried; A visualization module, which is set to mount the first power consumption terminal A to the corresponding cache record to complete the prediction visualization.

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