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KR-20260067292-A - APPARATUS FOR DIAGNOSING BATTERY AND METHOD THEREOF

KR20260067292AKR 20260067292 AKR20260067292 AKR 20260067292AKR-20260067292-A

Abstract

A battery diagnostic device according to one embodiment of the present document may include a memory for storing at least one instruction and at least one processor for executing said at least one instruction, and said at least one processor may identify a plurality of idle voltages of said battery cells during an idle period after the charging or discharging of a plurality of battery cells is completed, identify target idle voltages of any one of said battery cells, identify a voltage deviation for said one battery cell based on the difference between a representative value of the idle voltages at a specific point in time among said multiple idle voltages and the target idle voltage at the specific point in time among said target idle voltages, identify a slope obtained based on at least two or more target idle voltages included in a specified time range including said specific point in time among said target idle voltages, and diagnose the state of said one battery cell based on said slope and said voltage deviation.

Inventors

  • 남현우

Assignees

  • 주식회사 엘지에너지솔루션

Dates

Publication Date
20260512
Application Date
20250519
Priority Date
20241105

Claims (14)

  1. Memory for storing at least one instruction; and It includes at least one processor that executes the above at least one instruction, and The above-mentioned at least one processor is, Identifying multiple resting voltages of multiple battery cells during a resting period after the charging or discharging of multiple battery cells is completed, and Identifying the target idle voltages of any one of the plurality of battery cells, and Identifying a voltage deviation for any one of the battery cells based on the difference between the representative value of the idle voltages at a specific point in time among the plurality of idle voltages and the target idle voltage at the specific point in time among the target idle voltages, Identify a slope obtained based on at least two target resting voltages included in a specified time range including the specific point in time among the above target resting voltages, and Configured to diagnose the state of any one of the battery cells based on the above slope and the above voltage deviation, Battery diagnostic device.
  2. In claim 1, The above-mentioned at least one processor is, Based on the fact that the above slope deviates from a reference range, configured to diagnose an abnormality in any one of the above battery cells corresponding to the above slope, Battery diagnostic device.
  3. In claim 2, The above-mentioned at least one processor is, Identifying a first value corresponding to a designated first percentile and a second value corresponding to a designated second percentile among the slopes corresponding to each of the plurality of battery cells at the aforementioned specific point in time, Configured to identify the reference range based on the difference between the first value and the second value. Battery diagnostic device.
  4. In claim 3, The above-mentioned at least one processor is, A reference range configured to identify the reference range based on a value obtained by subtracting from the first value a value obtained by calculating a value specified as a multiple of the difference between the first value and the second value, and a value obtained by adding the calculated value to the second value. Battery diagnostic device.
  5. In claim 1, The above-mentioned at least one processor is, Configured to diagnose an abnormality in any one of the battery cells based on the above voltage deviation deviating from a reference deviation range, Battery diagnostic device.
  6. In claim 1, The above-mentioned at least one processor is, Configured to identify the representative value based on the median value of the resting voltages at a specific point in time among the plurality of resting voltages above. Battery diagnostic device.
  7. In claim 1, The above-mentioned at least one processor is, A configuration for identifying the slope through regression analysis based on at least two target resting voltages included in a specified time range including the specific point in time among the target resting voltages of any one of the battery cells, Battery diagnostic device.
  8. An operation to identify multiple resting voltages of multiple battery cells during a resting period after the charging or discharging of multiple battery cells is completed; An operation to identify target idle voltages of any one of the plurality of battery cells; An operation to identify a voltage deviation for any one of the battery cells based on the difference between the representative value of the resting voltages at a specific point in time among the plurality of resting voltages and the target resting voltage at the specific point in time among the target resting voltages; An operation to identify a slope obtained based on at least two target resting voltages included in a specified time range including the specific point in time among the above target resting voltages; and A method comprising diagnosing the state of any one of the battery cells based on the slope and the voltage deviation. Battery diagnostic method.
  9. In claim 8, Based on the above slope and the above voltage deviation, the operation of diagnosing the state of any one of the battery cells is, Based on the fact that the above slope deviates from a reference range, the operation of diagnosing an abnormality in any one of the battery cells corresponding to the above slope, Battery diagnostic method.
  10. In claim 9, Based on the fact that the above slope deviates from the reference range, the operation of diagnosing an abnormality in any one of the battery cells corresponding to the above slope is, An operation to identify a first value corresponding to a designated first percentile and a second value corresponding to a designated second percentile among the slopes corresponding to each of the plurality of battery cells at the aforementioned specific point in time; and The operation of identifying the reference range based on the difference between the first value and the second value, Battery diagnostic method.
  11. In claim 10, The operation of identifying the reference range based on the difference between the first value and the second value is, The method includes an operation of identifying the reference range based on a value obtained by subtracting from the first value a value obtained by calculating a value specified as a multiple of the difference between the first value and the second value, and a value obtained by adding the calculated value to the second value. Battery diagnostic method.
  12. In claim 8, Based on the above slope and the above voltage deviation, the operation of diagnosing the state of any one of the battery cells is, The operation of diagnosing an abnormality in any one of the battery cells based on the above voltage deviation deviating from a reference deviation range, Battery diagnostic method.
  13. In claim 8, The operation of identifying a voltage deviation for any one of the battery cells based on the difference between the representative value of the idle voltages at a specific point in time among the plurality of idle voltages and the target idle voltage at the specific point in time among the target idle voltages is, The method includes an operation of identifying the representative value based on the median value of the resting voltages at a specific point in time among the plurality of resting voltages. Battery diagnostic method.
  14. In claim 8, The operation of identifying a slope obtained based on at least two target resting voltages included in a specified time range including the specific point in time among the above target resting voltages is, The method comprises identifying the slope through regression analysis based on at least two target resting voltages included in a specified time range including the specific point in time among the target resting voltages of any one of the battery cells. Battery diagnostic method.

Description

Battery Diagnostic Apparatus and Method Thereof The embodiments disclosed in this document relate to a battery diagnostic device and a method thereof. Recently, active research and development on secondary batteries has been underway. Here, secondary batteries are rechargeable batteries that can be interpreted to encompass conventional Ni/Cd and Ni/MH batteries, as well as recent lithium-ion batteries. With their scope of application expanding to include power sources for electric vehicles, they are garnering attention as a next-generation energy storage medium. With the proliferation of various electronic devices due to the Fourth Industrial Revolution, battery usage is rapidly increasing. Batteries are gaining prominence as an essential energy source in various fields, such as electric vehicles, portable electronic devices, and renewable energy storage systems. Consequently, the importance of battery condition diagnostic technology to improve battery performance and reliability is growing. In particular, if an internal short circuit is not detected and the battery continues to be used, the short circuit may gradually spread, posing a risk of fire. Accordingly, technologies for monitoring short circuits using battery diagnostic devices are being developed to ensure battery reliability and enhance safety. FIG. 1 is a block diagram showing a battery pack in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document. FIG. 2 is a block diagram showing the configuration of a battery diagnostic device in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document. FIG. 3 illustrates examples of slope and voltage deviation over time in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document. FIG. 4 illustrates an example of a reference range in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document. FIG. 5 illustrates an example of the flow of operation of a battery diagnostic device that diagnoses abnormalities in a battery cell according to whether the slope deviates from a reference range and whether the voltage deviation deviates from a reference deviation range, in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document. FIG. 6 illustrates an example of the flow of operation of a battery diagnostic device that diagnoses the condition of a battery cell based on a slope and a voltage deviation in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document. FIG. 7 is a block diagram showing the hardware configuration of a computing system performing a battery diagnostic method in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document. Some embodiments disclosed herein are described below with reference to the various embodiments of the accompanying drawings. However, this is not intended to limit the technology to specific embodiments and should be understood to include various modifications, equivalents, and/or alternatives to embodiments of the technology. It should be noted that when assigning reference numerals to the components of each drawing, the same components are assigned the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the various embodiments disclosed in this document, if it is determined that a detailed description of related known configurations or functions would hinder understanding of the embodiments of the present invention, such detailed description is omitted. The singular form of a noun corresponding to an item may include one or more items unless the relevant context clearly indicates otherwise. In describing the components of the embodiments of this document, terms such as first, second, A, B, (a), (b), etc., may be used. These terms are intended merely to distinguish the components from other components and do not limit the essence, order, or sequence of the components. Furthermore, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the embodiments disclosed in this document pertain. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application. Additionally, in this disclosure, expressions of "greater than" or "less than" may be used to determine whether a specific condition is satisfied or fulfilled; however, this is merely for the purpose of expressing an example and does not exclude descriptions of "gr