Device detecting abnormality of secondary battery, abnormality detection method, and program
US-2020355749-A1 · Nov 12, 2020 · US
US2023400518A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023400518-A1 |
| Application number | US-202218086173-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 21, 2022 |
| Priority date | Jun 13, 2022 |
| Publication date | Dec 14, 2023 |
| Grant date | — |
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Methods and apparatuses with battery short circuit detection are provided. A short circuit detecting method includes determining measurement data by measuring a battery for a target timespan including a battery charging timespan or a battery discharging timespan, determining estimation data of the battery for the target timespan using a battery model that simulates the battery to determine the estimation data, determining a resistance error parameter of the battery based on the measurement data and the estimation data, and determining that a battery short circuit condition is satisfied based on a result of comparing the resistance error parameter and a short circuit threshold value.
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What is claimed is: 1 . A short circuit detecting method, comprising: determining measurement data by measuring a battery for a target timespan comprising a battery charging timespan or a battery discharging timespan; determining estimation data of the battery for the target timespan using a battery model that simulates the battery to determine the estimation data; determining a resistance error parameter of the battery based on the measurement data and the estimation data; and determining that a battery short circuit condition is satisfied based on a result of comparing the resistance error parameter and a short circuit threshold value. 2 . The method of claim 1 , wherein the measurement data comprises a measured voltage and a measured current, the estimation data comprises an estimated voltage, and the resistance error parameter is determined based on a ratio between a voltage error and the measured current, the voltage error corresponding to a difference between the measured voltage and the estimated voltage. 3 . The method of claim 1 , wherein the resistance error parameter comprises one or more of: a first sub-parameter representing a difference between a first average resistance error in a first sub-timespan of the discharging timespan and a second average resistance error in a second sub-timespan of the charging timespan; a second sub-parameter representing a rate of change in a resistance error in a third sub-timespan of the discharging timespan; and a third sub-parameter representing a rate of change in a resistance error in a fourth sub-timespan of the charging timespan. 4 . The method of claim 3 , wherein the measurement data comprises battery measurement values of a preset detection interval, the estimation data comprises battery estimation values of the preset detection interval, resistance error values of the preset detection interval are determined based on the measurement values and the estimation values, and the resistance error parameter corresponds to an operation result obtained based on the resistance error values. 5 . The method of claim 4 , wherein the determining the resistance error parameter comprises: determining the first average resistance error based on an average of the resistance error values in the first sub-timespan; determining the second average resistance error based on an average of the resistance error values in the second sub-timespan; and determining the first sub-parameter based on a difference between the first average resistance error and the second average resistance error. 6 . The method of claim 4 , wherein the determining the resistance error parameter comprises: determining the second sub-parameter based on a rate of increase in an error of the resistance error values in the third sub-timespan. 7 . The method of claim 4 , wherein the determining the resistance error parameter comprises: determining the third sub-parameter based on a rate of decrease in an error of the resistance error values in the fourth sub-timespan. 8 . The method of claim 1 , wherein the resistance error parameter comprises sub-parameters having different degrees of short-detection sensitivity, and different remediation operations are performed in accordance with the degrees of short-detection sensitivity. 9 . The method of claim 1 , wherein the determining that the battery short circuit condition is satisfied comprises: determining an internal resistance of the battery based on an estimated voltage of the estimation data and a measured current of the measurement data; determining an error ratio based on a ratio between the internal resistance and the resistance error parameter; determining a short circuit current based on a multiplication of the measured current and the error ratio; and determining a short circuit resistance of the short circuit based on a ratio between the estimated voltage and the short circuit current. 10 . The method of claim 1 , wherein an entry condition for a short circuit detection mode comprises a charging/discharging temperature, a charging/discharging range, and/or a charging/discharging speed, and the determining the measurement data, the determining the estimation data, the determining the resistance error parameter, and the determining that a battery short circuit condition is satisfied are performed based on satisfaction of the entry condition. 11 . The method of claim 1 , wherein the short circuit threshold value is determined based on a preliminary experimental result, is determined based on an actual driving result during an initial driving section of the battery, or is determined by adjusting an existing experimental result to the actual driving result. 12 . A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the short circuit detecting method of claim 1 . 13 . A short circuit detection apparatus, comprising: one or more processors; and a memory storing instructions configured to, when executed by the one or more processors, cause the one or more processors to: determine measurement data by measuring a battery in a target timespan comprising at least a charging timespan of charging the battery or a discharging timespan of discharging the battery; determine estimation data of the battery for the target timespan using a battery model that simulates the battery; determine a resistance error parameter of the battery based on an error between the measurement data and the estimation data; and detect a short circuit of the battery based on a result of comparison between the resistance error parameter and a short circuit threshold value. 14 . The apparatus of claim 13 , wherein the measurement data comprises a measured voltage and a measured current, the estimation data comprises an estimated voltage, and the resistance error parameter is determined based on a ratio between a voltage error and the measured current, the voltage error corresponding to a difference between the measured voltage and the estimated voltage. 15 . The apparatus of claim 13 , wherein the resistance error parameter comprises one or more of: a first sub-parameter representing a difference between a first average resistance error in a first sub-timespan of the discharging timespan and a second average resistance error in a second sub-timespan of the charging timespan; a second sub-parameter representing a rate of change in a resistance error in a third sub-timespan of the discharging timespan; and a third sub-parameter representing a rate of change in a resistance error in a fourth sub-timespan of the charging timespan. 16 . The apparatus of claim 13 , wherein the resistance error parameter comprises sub-parameters having different degrees of detection sensitivity to a short circuit of the battery, and different remediation operations are performed in accordance with the degrees of detection sensitivity. 17 . The apparatus of claim 13 , wherein the instructions are further configured to cause the one or more processors to: determine an internal resistance of the battery based on an estimated voltage of the estimation data and a measured current of the measurement data; determine an error ratio based on a ratio between the internal resistance and the resistance error parameter; determine a short circuit current based on a multiplication of the measured current and the error ratio; and determine a short circuit resistance based on a ratio between the estimated voltage an
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