KR-102964533-B1 - APPARATUS AND METHOD FOR DIAGNOSING STATE OF BATTERY

KR102964533B1KR 102964533 B1KR102964533 B1KR 102964533B1KR-102964533-B1

Abstract

A battery condition diagnostic device according to an embodiment of the present invention comprises: a profile generation unit configured to acquire battery information including at least one of voltage, capacity, internal resistance, SOC, and SOH for each of a plurality of batteries, and to generate a plurality of battery profiles for each of the plurality of batteries at a periodic basis based on the acquired battery information; a feature value extraction unit configured to extract a plurality of feature values for each of the plurality of batteries using the battery information and the plurality of battery profiles generated by the profile generation unit; a principal component calculation unit configured to calculate a plurality of principal components for the plurality of feature values extracted by the feature value extraction unit; and a battery classification unit configured to calculate a principal component distribution map representing the distribution of the plurality of batteries for the plurality of principal components based on the plurality of feature values extracted for each of the plurality of batteries, select at least one of the plurality of principal components as a target component according to the result of comparing a preset reference value with the calculated principal component distribution map, and classify each of the plurality of batteries into one of a plurality of groups based on the selected one or more target components. and includes a battery status diagnosis unit configured to update a classification history regarding the group in which each of the plurality of batteries is classified by the battery classification unit at each of the above cycles, and to diagnose the status of each of the plurality of batteries based on the updated classification history.

Inventors

임보미

Assignees

주식회사 엘지에너지솔루션

Dates

Publication Date: 20260512
Application Date: 20201005

Claims (15)

A profile generation unit configured to acquire battery information including at least one of the voltage, capacity, internal resistance, SOC, and SOH of each of a plurality of batteries, and to generate a plurality of battery profiles for each of the plurality of batteries based on the acquired battery information; A feature value extraction unit configured to extract multiple feature values for each of the multiple batteries using the battery information and multiple battery profiles generated by the profile generation unit; A principal component calculation unit configured to calculate a plurality of principal components for a plurality of feature values extracted by the above feature value extraction unit; A battery classification unit configured to calculate a distribution map by principal component representing the distribution of the plurality of batteries with respect to the plurality of principal components based on a plurality of feature values extracted for each of the plurality of batteries, select at least one of the plurality of principal components as a target component based on the result of comparing a preset reference value with the calculated distribution map by principal component, and classify each of the plurality of batteries into one of a plurality of groups based on the selected one or more target components; and A battery state diagnosis device characterized by including a battery state diagnosis unit configured to update a classification history regarding a group in which each of the plurality of batteries is classified by the battery classification unit, and to diagnose the state of each of the plurality of batteries based on the updated classification history.
In paragraph 1, The above battery classification unit is, Based on one or more selected target components, a reference cell set to correspond to an abnormal cell is configured to be classified into any one of the plurality of groups, and The above battery status diagnostic unit is, A battery status diagnostic device characterized by being configured to set the group to which the reference cell belongs among the plurality of groups as an abnormal group and the remaining groups as normal groups.
In paragraph 2, The above classification history is, A battery condition diagnostic device characterized by being provided for each of the plurality of batteries and configured to include a group classified in the previous cycle, a group classified in the current cycle, the number of times the abnormal group was switched, and the number of times the normal group was switched.
In paragraph 3, The above battery status diagnostic unit is, A battery condition diagnosis device characterized by being configured to determine a target battery among the plurality of batteries in which the group classified in the previous cycle and the group classified in the current cycle are different, and to diagnose the state of the target battery as normal or abnormal based on the number of times the determined target battery is switched to the abnormal group or the number of times it is switched to the normal group.
In paragraph 4, The above battery status diagnostic unit is, If the target battery is classified into the abnormal group in the current cycle, and the number of times it is switched to the abnormal group is greater than a predetermined number, the state of the target battery is diagnosed as an abnormal state. A battery condition diagnosis device characterized by being configured to diagnose the condition of the target battery as normal if, in the current cycle, the target battery is classified into the normal group and the number of times it is switched to the normal group is greater than or equal to the predetermined number of times.
In paragraph 2, The above battery classification unit is, A battery condition diagnostic device characterized by being configured to select at least one of the above plurality of principal components, and when the sum of the distributions of principal components corresponding to the selected one or more principal components is greater than or equal to the above preset reference value, the selected one or more principal components are selected as the target components.
In paragraph 6, The above battery classification unit is, A battery condition diagnostic device characterized by being configured to calculate the sum by adding the distributions of each principal component corresponding to each of the plurality of principal components in order of largest size until the sum is greater than or equal to the preset reference value.
In paragraph 6, The above battery classification unit is, A battery condition diagnostic device characterized by being configured to generate a representative model that classifies the plurality of batteries and the reference cells into the plurality of groups.
In paragraph 8, The above battery classification unit is, A battery condition diagnostic device characterized by being configured to generate a target set including one or more selected target components, generate a plurality of target subsets including at least one target component among the generated target set, generate one or more classification models for classifying the plurality of batteries and the reference cell for each of the plurality of target subsets, and set any one of the plurality of classification models generated for the plurality of target subsets as a representative model for the corresponding cycle.
In Paragraph 9, The above battery classification unit is, A battery condition diagnostic device characterized by being configured to calculate a classification diagram of the plurality of batteries and the reference cell for each of the plurality of classification models generated above, and to set the classification model with the lowest calculated classification diagram among the plurality of classification models generated above as the representative model for the corresponding cycle.
In Paragraph 9, The above battery classification unit is, A battery condition diagnostic device characterized by being configured to calculate the inner product of the plurality of batteries and the reference cell for each of the plurality of target subsets and to generate the plurality of classification models that classify the plurality of batteries and the reference cell according to the magnitude of the calculated inner product.
In Paragraph 9, The above battery classification unit is, A battery condition diagnostic device characterized by being configured to control, for each of the above plurality of classification models, such that the total number of classified groups is less than or equal to a preset threshold number.
A battery pack comprising a battery condition diagnostic device according to any one of claims 1 to 12.
An energy storage device comprising a battery condition diagnostic device according to any one of claims 1 to 12.
A profile generation step of generating a plurality of battery profiles for each of the plurality of batteries based on battery information including at least one of the voltage, capacity, internal resistance, SOC, and SOH of each of the plurality of batteries; A feature value extraction step for extracting multiple feature values from each of the multiple battery profiles generated in the above profile generation step; A principal component calculation step for calculating multiple principal components for multiple feature values extracted in the above feature value extraction step; A step of calculating a distribution map by principal component representing the distribution of the plurality of batteries for the plurality of principal components based on a plurality of feature values extracted for each of the plurality of batteries; A target component selection step in which at least one of the plurality of principal components is selected as a target component based on the result of comparing a preset reference value with the principal component distribution calculated in the principal component distribution calculation step; A battery classification step for classifying each of the plurality of batteries into one of a plurality of groups based on one or more target components selected in the target component selection step; and A battery condition diagnosis method characterized by including a battery condition diagnosis step in which, in the battery classification step, a classification history regarding the group to which each of the plurality of batteries is classified is updated, and the condition of each of the plurality of batteries is diagnosed based on the updated classification history.

Description

Apparatus and Method for Diagnosing State of Battery The present invention relates to a battery condition diagnosis device and method, and more specifically, to a battery condition diagnosis device and method capable of diagnosing the condition of a battery. Recently, as the demand for portable electronic products such as laptops, video cameras, and mobile phones has increased rapidly, and the development of electric vehicles, energy storage batteries, robots, and satellites has accelerated, research on high-performance batteries capable of repeated charging and discharging is actively underway. Currently commercialized batteries include nickel-cadmium, nickel-hydrogen, nickel-zinc, and lithium batteries. Among these, lithium batteries are gaining attention for their advantages, such as the ability to freely charge and discharge with almost no memory effect compared to nickel-based batteries, a very low self-discharge rate, and high energy density. Conventionally, battery information such as the voltage, current, and/or temperature of the battery was obtained, and the condition of the battery was diagnosed based on the result of simply comparing the obtained battery information with a reference voltage or a reference voltage range. For example, depending on whether the battery voltage falls within the reference voltage range, the condition of the battery was diagnosed as a normal state, an overvoltage state, or an undervoltage state. However, in reality, since fires can occur even when the battery's voltage, current, and/or temperature fall within the standard range, a technology is required to accurately diagnose the battery's condition from a statistical perspective by tracking changes in the battery's profile, rather than simply diagnosing the battery's condition by comparing characteristic values (e.g., voltage) with reference values (e.g., reference voltage or reference voltage range). The following drawings attached to this specification serve to further enhance understanding of the technical concept of the invention in conjunction with the detailed description of the invention set forth below; therefore, the invention should not be interpreted as being limited only to the matters described in such drawings. FIG. 1 is a schematic diagram illustrating a battery condition diagnostic device according to one embodiment of the present invention. FIG. 2 is a schematic diagram illustrating a voltage-derivative capacity profile among battery profiles generated by a battery condition diagnostic device according to one embodiment of the present invention. FIG. 3 is a schematic diagram illustrating an example of a distribution map by principal component calculated by a battery condition diagnostic device according to an embodiment of the present invention. FIGS. 4 and 5 are schematic diagrams illustrating a classification model generated in the current cycle by a battery status diagnostic device according to one embodiment of the present invention. FIG. 6 is a drawing disclosing an exemplary configuration of a battery pack including a battery condition diagnostic device according to one embodiment of the present invention. FIG. 7 is a schematic diagram illustrating a battery condition diagnosis method according to another embodiment of the present invention. Terms and words used in this specification and claims should not be interpreted as being limited to their ordinary or dictionary meanings, but should be interpreted in a meaning and concept consistent with the technical spirit of the invention, based on the principle that the inventor can appropriately define the concept of the terms to best describe his invention. Therefore, the embodiments described in this specification and the configurations illustrated in the drawings are merely the most preferred embodiments of the present invention and do not represent all of the technical ideas of the present invention; thus, it should be understood that various equivalents and modifications that can replace them may exist at the time of filing this application. In addition, in describing the present invention, if it is determined that a detailed description of related known components or functions may obscure the essence of the invention, such detailed description is omitted. Terms including ordinal numbers, such as first, second, etc., are used for the purpose of distinguishing one of the various components from the rest, and are not used to limit the components by such terms. Throughout the specification, when a part is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Additionally, throughout the specification, when it is said that a part is "connected" to another part, this includes not only cases where they are "directly connected," but also cases where they are "indirectly connected" with other components in between. Hereinafter, prefe