KR-20260067755-A - BATTERY MANAGEMENT APPARATUS AND BATTERY MANAGEMENT METHOD

KR20260067755AKR 20260067755 AKR20260067755 AKR 20260067755AKR-20260067755-A

Abstract

According to some embodiments, the battery management device includes: an interface configured to acquire battery data of a battery; and a controller configured to calculate a current battery variable deviation of each of a plurality of battery cells of the battery at a current time based on the battery data, generate a scaling deviation by performing scaling such that the current battery variable deviation falls between a target upper limit and a target lower limit, and diagnose the state of the battery by comparing the scaling deviation with a preset threshold deviation.

Inventors

손소연
변민정
진희준
이백산
최지순

Assignees

주식회사 엘지에너지솔루션

Dates

Publication Date: 20260513
Application Date: 20241106

Claims (16)

An interface configured to acquire battery data of a battery; and Based on the above battery data, calculate the current battery variable deviation of each of the plurality of battery cells of the above battery at the current point in time, and Scaling is performed to generate a scaling deviation such that the above current battery variable deviation falls between the target upper limit and the target lower limit, and A battery management device comprising a controller configured to diagnose the state of the battery by comparing the above scaling deviation with a preset threshold deviation.
In paragraph 1, A battery management device configured such that the controller performs the scaling based on multiple past battery variable deviations at multiple past points in time for each of the multiple battery cells.
In paragraph 2, The above controller calculates the standard value of the current battery variable deviation based on the average and standard deviation of the plurality of past battery variable deviations, and A battery management device configured to perform the scaling such that the upper and lower limits of the distribution of the standard values for a specific reliability correspond to the target upper limit and the target lower limit.
In paragraph 2, A battery management device configured such that the controller performs the scaling based on the maximum and minimum values of the plurality of past battery variable deviations.
In paragraph 4, A battery management device configured such that the controller performs min-max normalization based on the maximum and minimum values of the plurality of past battery variable deviations.
In paragraph 1, The battery data above includes at least one of voltage data, current data, temperature data, resistance data, and capacity data of the plurality of battery cells, and A battery management device wherein the above current battery variable deviation includes at least one of the voltage deviation, current deviation, temperature deviation, resistance deviation, and capacity deviation of each battery cell relative to the average of the battery variables of the plurality of battery cells.
In paragraph 1, A battery management device in which the above target upper limit and the above target lower limit are set identically for different batteries regardless of the operating range specifications of the battery data.
In Paragraph 7, A battery management device in which the above threshold deviation is set differently for different batteries based on the above operating range specifications.
Step of acquiring battery data of the battery; A step of calculating the current battery variable deviation of each of the plurality of battery cells of the battery at the current point in time based on the battery data above; A step of generating a scaling deviation by performing scaling so that the current battery variable deviation falls between a target upper limit and a target lower limit; and A battery management method comprising the step of diagnosing the state of the battery by comparing the above scaling deviation with a preset threshold deviation.
In Paragraph 9, The step of generating the above scaling deviation is, A battery management method comprising the step of performing the scaling based on multiple past battery variable deviations at multiple past points in time for each of the multiple battery cells.
In Paragraph 10, The step of performing the above scaling is, A step of calculating the standard value of the current battery variable deviation based on the mean and standard deviation of the plurality of past battery variable deviations; and A battery management method comprising the step of performing the scaling such that the upper and lower limits of the distribution of the standard values for a specific reliability correspond to the target upper limit and the target lower limit.
In Paragraph 10, The step of performing the above scaling is, A battery management method comprising the step of performing the scaling based on the maximum and minimum values of the plurality of past battery variable deviations.
In Paragraph 12, The step of performing the above scaling is, A battery management method comprising the step of performing min-max normalization based on the maximum and minimum values of the plurality of past battery variable deviations.
In Paragraph 9, The battery data above includes at least one of voltage data, current data, temperature data, resistance data, and capacity data of the plurality of battery cells, and A battery management method wherein the above current battery variable deviation includes at least one of the voltage deviation, current deviation, temperature deviation, resistance deviation, and capacity deviation of each battery cell relative to the average of the battery variables of the plurality of battery cells.
In Paragraph 9, A battery management method in which the above target upper limit and the above target lower limit are set identically for different batteries regardless of the operating range specifications of the battery data.
In paragraph 15, A battery management method in which the above threshold deviation is set differently for different batteries based on the above operating range specifications.

Description

Battery Management Apparatus and Battery Management Method The embodiments disclosed in this document relate to a battery management device and a battery management method. Recently, active research and development on secondary batteries has been underway. Here, secondary batteries are rechargeable batteries and can be interpreted to encompass conventional Ni/Cd and Ni/MH batteries, as well as the more recent lithium-ion batteries. Among secondary batteries, lithium-ion batteries can possess higher energy density compared to conventional Ni/Cd and Ni/MH batteries, and because they can be manufactured in a compact and lightweight form factor, they offer high utility as power sources for mobile devices. Recently, their scope of application has expanded to include power sources for electric vehicles, drawing attention as a next-generation energy storage medium. If various battery variables, such as voltage, current, and temperature, fall outside their designated operating ranges, battery performance may deteriorate or the risk of battery failure may increase. While battery variables can be monitored to prevent failures or degradation, diagnosing the battery status based on individual variable values may reduce diagnostic accuracy because noise caused by environmental changes or disturbances cannot be filtered out. FIG. 1 illustrates elements constituting a battery management system according to some embodiments. FIG. 2 illustrates elements constituting a battery management device according to some embodiments. FIGS. 3 to 6 illustrate a process for generating battery variable deviations and scaling deviations according to some embodiments. FIG. 7 illustrates a method for diagnosing defective cells based on scaling deviations according to some embodiments. FIG. 8 illustrates steps constituting a battery management method according to some embodiments. Hereinafter, embodiments described in this document are described with reference to the accompanying drawings. However, this is not intended to limit the disclosure of this document to specific embodiments and should be understood to include various modifications, equivalents, and/or alternatives to the embodiments described in this document. The embodiments of this document and the terms used therein are not intended to limit the technical features described in this document to specific embodiments and should be understood to include various modifications, equivalents, or substitutions of said embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of said items unless the relevant context clearly indicates otherwise. In this document, each of the phrases such as “A or B,” “at least one of A and B,” “at least one of A or B,” “A, B or C,” “at least one of A, B and C,” and “at least one of A, B, or C” may include any one of the items listed together in the corresponding phrase, or all possible combinations thereof. Terms such as “first,” “second,” “first,” “second,” “A,” “B,” “(a),” or “(b)” may be used simply to distinguish a component from another component and, unless specifically stated otherwise, do not limit the components in any other aspect (e.g., importance or order). In this document, where it is stated that any (e.g., 1) component is "connected," "coupled," or "joined" to another (e.g., 2) component, with or without the terms "functionally" or "communicationly," or where it is stated that the component is "coupled" or "connected," it means that the component may be connected to the other component directly (e.g., by wire or wirelessly) or indirectly (e.g., through a 3) component. Methods according to the various embodiments disclosed in this document may be provided as part of a computer program product. The computer program product may be traded between a seller and a buyer as a product. The computer program product may be distributed in the form of a device-readable storage medium (e.g., compact disc read-only memory, CD-ROM) or distributed online (e.g., download or upload) through an application store or directly between two driver devices. In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily created on a device-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server. According to the embodiments disclosed in this document, each component (e.g., module or program) of the components described above may include a singular or multiple entities, and some of the multiple entities may be separated and placed in other components. According to the embodiments disclosed in this document, one or more of the components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Generally or additionally, mu