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EP-4585941-B1 - ELECTRONIC DEVICE FOR DETECTING ABNORMALITY OF BATTERY AND OPERATING METHOD OF THE ELECTRONIC DEVICE

EP4585941B1EP 4585941 B1EP4585941 B1EP 4585941B1EP-4585941-B1

Inventors

  • KIM, GEUM BEE
  • LEE, HYUN JUN
  • SHIN, JAE WOOK
  • CHOI, SUNG WOOK

Dates

Publication Date
20260513
Application Date
20230906

Claims (15)

  1. An electronic device (101) comprising: a battery module (110) comprising a plurality of battery cells; a sensor circuit (120) configured to obtain state values of each of the plurality of battery cells; and a processor (150), the processor being configured to: obtain values related to states of each of the plurality of cells as input data through the sensor circuit; obtain feature data based on a feature matrix derived from the input data by using a designated matrix decomposition algorithm; and identify whether each of the plurality of cells is abnormal, based on the feature data, wherein the feature matrix is a matrix where values of a designated number of major diagonal components among a plurality of diagonal components of a diagonal matrix for the input data are substituted by 0.
  2. The electronic device of claim 1, wherein the designated number is a minimum number that causes an occupancy of the major diagonal components with respect to a sum of the plurality of diagonal components exceeds a designated value or greater.
  3. The electronic device of claim 1, wherein the input data is obtained in a designated range of a measurement item, and the measurement item comprises at least one of voltage, current, resistance, state of charge, SoC, state of health SoH, or temperature.
  4. The electronic device of claim 3, wherein when the measurement item is voltage, the designated range is between 3.9 and 4.1 volts.
  5. The electronic device of claim 3, wherein the input data is obtained at designated time intervals for a designated time window while the battery module is being charged.
  6. The electronic device of claim 1, wherein the processor is further configured to: identify additional input data based on the input data; and obtain the feature data based on the input data and the additional input data.
  7. The electronic device of claim 6, wherein the additional input data comprises state values of other cells than the plurality of cells.
  8. The electronic device of claim 6, wherein the additional input data comprises previously obtained state values of the plurality of cells.
  9. The electronic device of claim 1, wherein the processor is further configured to: obtain a feature value of each of the plurality of cells based on feature components of each of the plurality of cells included in the feature data; and identify a cell having a feature value exceeding a designated reference feature value among the plurality of cells.
  10. The electronic device of claim 1, further comprising a display, wherein the processor is further configured to provide user notification through the display in response to at least one of the plurality of cells being identified as being in an abnormal state.
  11. An operating method of an electronic device, the operating method comprising: obtaining (210) values related to states of each of a plurality of cells of the electronic device as input data through a sensor circuit of the electronic device; obtaining (220) feature data based on a feature matrix derived from the input data by using a designated matrix decomposition algorithm; and identifying (230, 240) whether each of the plurality of cells is abnormal, based on the feature data, wherein the feature matrix is a matrix where values of a designated number of major diagonal components among a plurality of diagonal components of a diagonal matrix for the input data are substituted by 0.
  12. The operating method of claim 11, wherein the designated number is a minimum number that causes an occupancy of the major diagonal components with respect to a sum of the plurality of diagonal components exceeds a designated value.
  13. The operating method of claim 11, wherein the obtaining of the feature data comprises: identifying reference input data based on the input data; and obtaining the feature data based on the input data and the reference input data.
  14. The operating method of claim 13, wherein the reference input data indicates information related to states of other cells than the plurality of cells.
  15. The operating method of claim 11, wherein the identifying of whether each of the plurality of batteries is abnormal comprises: obtaining a feature value of each of the plurality of cells based on feature components of each of the plurality of cells included in the feature data; and identifying a cell having a feature value exceeding a designated reference feature value among the plurality of cells.

Description

[TECHNICAL FIELD] CROSS-REFERENCE TO RELATED APPLICATION This application claims priority to and the benefit of Korean Patent Application No. 10-2022-0113111 filed in the Korean Intellectual Property Office on September 6, 2022. TECHNICAL FIELD Embodiments disclosed herein relate to an electronic device for detecting abnormality of a battery and an operating method of the electronic device. [BACKGROUND ART] Secondary batteries, which are easy to apply depending on a product group and have electrical characteristics such as high energy density, are generally used not only in portable devices but also in electric vehicles (EV), hybrid electric vehicles (HEV), etc., driven by an electrical drive source. Types of secondary batteries widely used at the present time include lithium ion batteries, lithium polymer batteries, nickel cadmium batteries, nickel hydrogen batteries, nickel zinc batteries, and so forth. An operating voltage of a unit secondary battery cell, i.e., a unit battery cell, is about 2.5 to 4.5 volts (V). Therefore, when a higher output voltage is required, a battery pack is formed by connecting a plurality of battery cells in series. In addition, a battery pack may be constructed by connecting multiple battery cells in parallel depending on a charge/discharge capacity required for the battery pack. Thus, the number of battery cells included in the battery pack may be set variously depending on a required output voltage or charge/discharge capacity. Prior art document CN114945834A discloses battery cell abnormality diagnosis involving forming a feature matrix based on acquired battery cell measurements, and decomposing it, i.e., dividing a large matrix into a number of smaller ones. [DISCLOSURE] [TECHNICAL PROBLEM] A battery pack may include a plurality of battery cells connected in series and/or in parallel. As a result, even when a battery cell in an abnormal state exists among the plurality of battery cells, it may not be easy to detect abnormality in the battery cell. Therefore, there is a need for a method for detecting a battery cell in an abnormal state among a plurality of battery cells. Technical problems of the embodiments disclosed herein are not limited to the above-described technical problems, and other unmentioned technical problems would be clearly understood by one of ordinary skill in the art from the following description. [TECHNICAL SOLUTION] An electronic device according to the invention includes a battery module including a plurality of battery cells, a sensor circuit configured to obtain state values of each of the plurality of battery cells, and a processor configured to obtain values related to states of each of the plurality of cells as input data through the sensor circuit, obtain feature data based on a feature matrix derived from the input data by using a designated matrix decomposition algorithm, and identify whether each of the plurality of cells is abnormal, based on the feature data, in which the feature matrix is a matrix where values of a designated number of major diagonal components among a plurality of diagonal components of a diagonal matrix for the input data are substituted by 0. According to an embodiment, the designated number may be a minimum number that causes an occupancy of the major diagonal components with respect to a sum of the plurality of diagonal components exceeds a designated value or greater. According to an embodiment, the input data may be obtained in a designated range of a measurement item, and the measurement item may include at least one of voltage, current, resistance, state of charge (SoC), state of health (SoH), or temperature. According to an embodiment, when the measurement item is voltage, the designated range may be between 3.9 and 4.1 volts. According to an embodiment, the input data may be obtained at designated time intervals for a designated time window while the battery module is being charged. According to an embodiment, the processor may be further configured to identify additional input data based on the input data and obtain the feature data based on the input data and the additional input data. According to an embodiment, the additional input data may include state values of other cells than the plurality of cells. According to an embodiment, the additional input data may include previously obtained state values of the plurality of cells. According to an embodiment, the processor may be further configured to obtain a feature value of each of the plurality of cells based on feature components of each of the plurality of cells included in the feature data and identify a cell having a feature value exceeding a designated reference feature value among the plurality of cells. According to an embodiment, the electronic device may further include a display, in which the processor is further configured to provide user notification through the display in response to at least one of the plurality of cells being identified as b