KR-102961924-B1 - APPARATUS AND METHOD FOR ANALYZING BATTERY

KR102961924B1KR 102961924 B1KR102961924 B1KR 102961924B1KR-102961924-B1

Abstract

A battery analysis device according to one embodiment disclosed in this document may include a site information generation unit that generates information about an ESS site, a data collection unit that collects state data of at least one battery included in the ESS site, and an analysis unit that analyzes the state of the battery based on the state data of the battery.

Inventors

전재광
조영창
윤성열
이정빈
임재성
김원경
최원빈
심명현

Assignees

주식회사 엘지에너지솔루션

Dates

Publication Date: 20260507
Application Date: 20210219

Claims (20)

A site information generation unit that updates the information of the new ESS site in addition to the information of the existing ESS sites whenever a new ESS site is added; A data collection unit that collects new battery status data of the new ESS site and the latest battery status data of the existing ESS sites; A data processing unit that generates preprocessed data by performing preprocessing on the new battery status data of the new ESS site and the latest battery status data of the existing ESS sites; and It includes an analysis unit that calculates the charge-discharge behavior of the new battery at the new ESS site and the existing batteries at the existing ESS sites based on the above preprocessed data, and classifies abnormal types of abnormal batteries among the new battery and the existing batteries whose charge-discharge behavior deviates from a reference range. The information regarding the new ESS site includes the ID of the new ESS site, the location of the new ESS site, and information regarding the number and structure of the new batteries. The above-mentioned site information generation unit creates a folder with the ID of the new ESS site and stores information of the new ESS site in the folder, a battery analysis device.
In paragraph 1, A battery analysis device in which the above data processing unit performs preset operations through an auto-executable file.
In paragraph 1, A battery analysis device in which the above data processing unit automatically performs the above preprocessing using a MATLAB executable file (MCR).
In paragraph 3, A battery analysis device in which the above data processing unit performs a preset operation by executing the above MATLAB executable file according to a period set by a scheduler and an order set by a batch file.
In paragraph 1, A battery analysis device, wherein the above preprocessing includes time reversal removal, duplicate data removal, time unit setting, and file format conversion.
In paragraph 1, The above analysis unit is a battery analysis device that performs preset operations through an auto-executable file.
In paragraph 1, A battery analysis device in which the above analysis unit automatically calculates the charge/discharge behavior and classifies the above abnormal types using a MATLAB executable file.
In Paragraph 7, A battery analysis device in which the analysis unit performs a preset operation by executing the MATLAB executable file according to a period set by a scheduler and an order set by a batch file.
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In paragraph 1, A battery analysis device in which the above-mentioned site information generation unit updates the information of the new ESS site through a command prompt (CMD) or a batch file.
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In paragraph 1, A battery analysis device in which the above data collection unit automatically collects the new battery status data from the new ESS site through a batch file.
A step of updating the information of the new ESS site in addition to the information of the existing ESS sites whenever a new ESS site is added through the site information generation unit; A step of collecting new battery status data of the new ESS site and the latest battery status data of the existing ESS sites through a data collection unit; A step of generating preprocessed data by performing preprocessing on the new battery status data of the new ESS site and the latest battery status data of the existing ESS sites through a data processing unit; A step of calculating the charge/discharge behavior of the new battery of the new ESS site and the existing batteries of the existing ESS sites based on the preprocessed data through an analysis unit; and The method includes a step of classifying abnormal types of batteries among the new batteries and existing batteries whose charge/discharge behavior deviates from a standard range through the analysis unit. The information regarding the new ESS site includes the ID of the new ESS site, the location of the new ESS site, and information regarding the number and structure of the new batteries. A battery analysis method comprising the step of updating information of the new ESS site, the step of creating a folder with the ID of the new ESS site; and the step of storing information of the new ESS site in the folder.
In Paragraph 13, A battery analysis method comprising the step of generating the above-mentioned preprocessing data, wherein the preprocessing is performed by executing a MATLAB executable file according to a period set by a scheduler and an order set by a batch file.
In Paragraph 13, A battery analysis method comprising the above preprocessing, including time reversal removal, duplicate data removal, time unit setting, and file format conversion.
In Paragraph 13, The step of calculating the charge/discharge behavior includes the step of automatically calculating the charge/discharge behavior by executing a MATLAB executable file according to a period set by a scheduler and an order set by a batch file. A battery analysis method comprising a step of classifying the above abnormal types by automatically classifying the above abnormal types by executing a MATLAB executable file according to a period set by a scheduler and an order set by a batch file.
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In Paragraph 13, A battery analysis method, wherein the step of updating information of the new ESS site includes the step of updating information of the new ESS site through a command prompt (CMD) or a batch file.
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In Paragraph 13, A battery analysis method comprising the step of collecting the new battery status data, wherein the step of collecting the new battery status data includes the step of automatically collecting the new battery status data from the new ESS site through a batch file.

Description

Apparatus and Method for Analyzing Battery The embodiments disclosed in this document relate to a battery analysis device and method. Secondary batteries are generally used as battery racks containing battery modules in which multiple battery cells are connected in series and/or parallel. The state and operation of the battery rack are managed and controlled by a battery management system. Nowadays, data processing and analysis systems are used to remotely collect log data regarding the state of the battery at regular intervals from an Energy Storage System (ESS) containing such battery racks, preprocess the collected data, and then derive analysis results through an analysis algorithm. In such systems, processes such as generating information on ESS sites—spaces where ESS is installed—and pre-processing and analyzing battery log data are performed manually by personnel. However, as the number of ESS sites gradually increases, it becomes difficult to keep up with the speed of increasing data using data processing and analysis methods that rely on human resources. Furthermore, existing systems had limitations in that the PC for registering ESS sites and the PC for processing and analyzing battery log data were separated, resulting in reduced efficiency during the data transmission and download process. FIG. 1 is a drawing showing a battery rack and a battery analysis device according to one embodiment disclosed in this document. FIG. 2 is a block diagram showing the configuration of a battery analysis device according to one embodiment disclosed in this document. FIG. 3 is a drawing showing the operation of a battery analysis device according to one embodiment disclosed in this document. FIG. 4 is a diagram showing the data structure of a battery analysis device according to one embodiment disclosed in this document. FIG. 5 is a diagram showing the operation of a site information generation unit of a battery analysis device according to one embodiment disclosed in this document. FIG. 6 is a diagram showing the operation of a data collection unit of a battery analysis device according to one embodiment disclosed in this document. FIG. 7 is a diagram showing the operation of a data processing unit of a battery analysis device according to one embodiment disclosed in this document. FIG. 8 is a diagram showing the operation of an analysis unit of a battery analysis device according to one embodiment disclosed in this document. FIG. 9 is a flowchart illustrating a battery analysis method according to one embodiment disclosed in this document. FIG. 10 is a diagram showing the hardware configuration of a computing system for performing a battery analysis method according to one embodiment disclosed in this document. Hereinafter, various embodiments disclosed in this document will be described in detail with reference to the attached drawings. In this document, the same reference numerals are used for identical components in the drawings, and redundant descriptions of identical components are omitted. With respect to the various embodiments disclosed in this document, specific structural or functional descriptions are provided merely for the purpose of explaining the embodiments, and the various embodiments disclosed in this document may be implemented in various forms and should not be interpreted as being limited to the embodiments described in this document. Expressions such as "first," "second," "first," or "second" used in various embodiments may modify various components regardless of order and/or importance and do not limit said components. For example, without departing from the scope of the embodiments disclosed herein, the first component may be named the second component, and similarly, the second component may be renamed the first component. The terms used in this document are used merely to describe specific embodiments and are not intended to limit the scope of other embodiments. Singular expressions may include plural expressions unless the context clearly indicates otherwise. All terms used herein, including technical or scientific terms, may have the same meaning as generally understood by those skilled in the art of the embodiments disclosed herein. Terms defined in commonly used dictionaries may be interpreted as having the same or similar meaning as they have in the context of the relevant technology and are not to be interpreted in an ideal or overly formal sense unless explicitly defined in this document. In some cases, even terms defined in this document shall not be interpreted to exclude the embodiments disclosed herein. FIG. 1 is a drawing showing a battery rack and a battery analysis device according to one embodiment disclosed in this document. Specifically, FIG. 1 schematically shows the operation of a battery rack (10) and a battery analysis device (100) according to one embodiment disclosed in this document. As illustrated in FIG. 1, the battery rack (10) may include a plurality of bat