# US 12,111,361 B2 · Method and apparatus with battery short circuit detection > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,111,361 B2 - Document ID: US12111361B2 - Status: Granted - Kind: B2 - Application number: 17/874,794 - Filed: 2022-07-27 - Published: 2023-06-22 - Granted: 2024-10-08 - Earliest claimed: 2021-12-20 - Assignees: Samsung Electronics Co., Ltd. - Applicants: Samsung Electronics Co., Ltd. - Inventors: Myeongjae Lee; Jinho Kim; Ju Wan Lim; Youngjae Kim; Young Hun Sung; Tae Won Song; Terrance Christopher Huang - Web page: https://patentgrep.com/patent/US12111361B2 ## CPC - G01R 31/367: Software therefor, e.g. for battery testing using modelling or look-up tables - G01R 31/392: Determining battery ageing or deterioration, e.g. state of health - G01R 31/3835: involving only voltage measurements - G01R 31/52: Testing for short-circuits, leakage current or ground faults - H02J 7/82: Control of state of charge [SOC] - H02J 7/96: in response to battery voltage - H02J 7/975: {in response to temperature} - G01R 31/374: with means for correcting the measurement for temperature or ageing - G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12) - H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY ## Abstract A method and apparatus with battery short circuit detection are included. In one general aspect, a processor-implemented method includes, based on battery data measured by a battery and a battery model of the battery, determining a detection parameter value used for detecting a short circuit of the battery and a variation factor value correlated with the detection parameter, using the variation factor to extract a reference value corresponding to the detection parameter value from a reference data set, and determining whether a short circuit of the battery has occurred based on a result of comparing the detection parameter value with the reference value. ## Claims ### Claim 1 A processor-implemented method comprising: based on battery data measured by a battery and a battery model of the battery, determining a detection parameter value used for detecting a short circuit of the battery and a variation factor value correlated with the detection parameter; using the variation factor to extract a reference value corresponding to the detection parameter value from a reference data set; and determining whether a short circuit of the battery has occurred based on a result of comparing the detection parameter value with the reference value. ### Claim 2 (depends on 1) The processor-implemented method of claim 1, wherein the detection parameter value corresponds to either a change in an error in voltage estimation, a change in a cumulative error in voltage estimation, a change in a correction value of a voltage error, a change in a cumulative correction value of a voltage error, a voltage change, a current change, a capacity change, a temperature change, a short circuit resistance value, or a short circuit current value. ### Claim 3 (depends on 2) The processor-implemented method of claim 2, wherein a battery model is used to obtain the detection parameter value. ### Claim 4 (depends on 1) The processor-implemented method of claim 1, wherein the detection parameter value corresponds to a change in a cumulative correction value of a state of charge (SOC) during a target time period of constant voltage (CV) charging, and the variation factor comprises a discharge cut off voltage and/or a charge temperature of the target time period. ### Claim 5 (depends on 4) The processor-implemented method of claim 4, wherein the change in the cumulative correction value corresponds to a difference between a first cumulative correction value at a start point of the target time period and a second cumulative correction value at an end point of the target time period. ### Claim 6 (depends on 4) The processor-implemented method of claim 4, wherein the cumulative correction value is determined by determining a voltage estimation value by using a battery model, determining an estimation error by comparing the voltage estimation value to a voltage measurement value, and accumulating SOC correction values that reduce the estimation error. ### Claim 7 (depends on 1) The processor-implemented method of claim 1, wherein each data element of the reference data set comprises a respective parameter value corresponding to the detection parameter value and a factor value related to the variation factor value, and the extracting of the reference value comprises: extracting a data element comprising the factor item, which is selected from the reference data set based on a proximity to the variation factor; and extracting the parameter item of the selected data element as the reference value. ### Claim 8 (depends on 7) The processor-implemented of claim 7, wherein the factor value comprises a plurality of values having respective weights, and the extracting of the data element comprises extracting the data element based on a distance between the data element and the variation factor, wherein the distance is based on the weights. ### Claim 9 (depends on 1) The processor-implemented method of claim 1, wherein the reference data set corresponds to a state without a short circuit, and the detecting of the short circuit comprises determining that the battery is in a short circuit state when a difference between the detection parameter and the reference value is greater than a threshold. ### Claim 10 (depends on 1) The processor-implemented method of claim 1, further comprising: updating a battery model based on modeled degradation of the battery; and updating the reference data set by using the updated battery model, wherein the detection parameter value is determined based on estimated values estimated by using the battery model. ### Claim 11 (depends on 1) The processor-implemented method of claim 1, wherein the reference data set is determined based on a preliminary experimental result, is determined based on an actual driving result during a sample driving of the battery, or is determined by applying the actual driving result to the preliminary experimental result. ### Claim 12 (depends on 1) The processor-implemented method of claim 1, further comprising: obtaining an actual driving result by driving the battery during a sample period; and determining the reference data set by adjusting a preliminary experimental result based on statistical data based on the actual driving result. ### Claim 13 (depends on 1) A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the method of claim 1. ### Claim 14 An apparatus comprising: a processor configured to: based on battery data measured from a battery and a battery model of the battery, determine a detection parameter value used for detecting a short circuit of the battery and a variation factor value correlated with the detection parameter; using the variation factor value, extract a reference value corresponding to the detection parameter value from a reference data set; and detect a short circuit of the battery based on a result of comparing the detection parameter value with the reference value. ### Claim 15 (depends on 14) The apparatus of claim 14, wherein the detection parameter value corresponds to a change in an error in voltage estimation, a change in a cumulative error in voltage estimation, a change in a correction value of a voltage error, a change in a cumulative correction value of a voltage error, a voltage change, a current change, a capacity change, a temperature change, a pre-calculated short circuit resistance value, or a pre-calculated short circuit current value. ### Claim 16 (depends on 14) The apparatus of claim 14, wherein the detection parameter value corresponds to a change in a cumulative correction value of a state of charge (SOC) during a target time period for which constant voltage (CV) charging is performed, and the variation factor comprises a discharge cut off voltage and/or a charge temperature of the target time period. ### Claim 17 (depends on 14) The apparatus of claim 14, wherein each data element of the reference data set comprises a parameter value corresponding to the detection parameter value and a factor value corresponding to the variation factor value, and the processor is further configured to: extract a data element comprising the factor value, which is close to the variation factor, from the reference data set; and extract the parameter value of the data element as the reference value. ### Claim 18 (depends on 14) The apparatus of claim 14, wherein the reference data set corresponds to a state of the battery without a short circuit, and the processor is further configured to determine that the battery is in a short circuit state when a difference between the detection parameter value and the reference value is greater than a threshold. ### Claim 19 (depends on 14) The apparatus of claim 14, further comprising the battery. ### Claim 20 (depends on 14) The apparatus of claim 14, wherein the detection parameter value corresponds to a change in a cumulative correction value of a state of charge (SOC), and the variation factor value comprises a discharge cut off voltage and/or a temperature. ### Claim 21 (depends on 14) The apparatus of claim 14, wherein the reference data set comprises elements, and wherein each data element comprises a respective parameter value corresponding to the detection parameter and a respective factor value corresponding to the variation factor value, and the processor is further configured to select a data element from the reference data set based on a proximity thereof to the variation factor value, and use the parameter value of the selected data element as the reference value. ### Claim 22 (depends on 14) The apparatus of claim 14, wherein the apparatus is a smartphone comprising a camera. ### Claim 23 A method comprising: applying a received measurement of a battery to a battery model to obtain a voltage estimate; comparing the voltage estimate to a measured voltage of the battery to obtain an error of the voltage estimate; obtaining a correction value that corrects the obtained error of the voltage estimate with respect to the measured voltage; and determining that the battery is in a short circuit state based on the correction value. ### Claim 24 (depends on 23) The method of claim 23, wherein the determining that the battery is in a short circuit state comprises obtaining, from reference data associated with the battery, a reference value corresponding to the correction value, and wherein the determining is further based on the reference value. ### Claim 25 (depends on 24) The method of claim 24, wherein the reference value corresponds to an accumulation of reference correction values. ### Claim 26 (depends on 24) The method of claim 24, wherein the reference data comprises elements comprising respective measures of the battery over time, and wherein each element has a respectively corresponding detection parameter value, reference parameter value, and candidate reference value. ### Claim 27 (depends on 26) The method of claim 26, further comprising selecting an element from the reference data, and determining that the battery is in a short circuit state based further on the candidate reference value of the selected element. ### Claim 28 (depends on 23) The method of claim 23, further comprising: taking a remediation action based on determining that the battery is in a short circuit state, wherein the remediation action comprises generating a notification, changing an operation state of a computing device powered by the battery, or adjusting a feature of the battery.