Battery control unit system
US-2016207415-A1 · Jul 21, 2016 · US
US2016018345A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016018345-A1 |
| Application number | US-201514589294-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jan 5, 2015 |
| Priority date | Jul 21, 2014 |
| Publication date | Jan 21, 2016 |
| Grant date | — |
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A method and apparatus for detecting an abnormal state of a battery are provided. An entropy calculator is configured to calculate an information entropy based on battery estimation information and battery measurement information. The battery estimation information corresponds to an output required from the battery, and the battery measurement information is collected from the battery. A battery abnormality determiner is configured to determine whether the battery is in the abnormal state based on the information entropy.
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What is claimed is: 1 . An apparatus to detect an abnormal state of a battery, the apparatus comprising: an entropy calculator configured to calculate an information entropy based on battery estimation information and battery measurement information, wherein the battery estimation information corresponds to an output required from the battery, and the battery measurement information is collected from the battery; and a battery abnormality determiner configured to determine whether the battery is in the abnormal state based on the information entropy. 2 . The apparatus of claim 1 , further comprising: a battery information collector configured to collect the battery measurement information; a usage information collector configured to collect usage information of a usage history of an electronic apparatus including the battery; and an estimator configured to acquire the battery estimation information from the usage information. 3 . The apparatus of claim 2 , wherein the estimator is configured to transform the usage information to a power corresponding to the output, and to calculate a voltage corresponding to the power. 4 . The apparatus of claim 1 , further comprising: an estimator configured to extract the battery estimation information from an electrical model of the battery. 5 . The apparatus of claim 1 , further comprising: a storage configured to store a result of a comparison between the battery estimation information and the battery measurement information during a time window of a predetermined length. 6 . The apparatus of claim 1 , wherein the entropy calculator is configured to calculate the information entropy based on a result of a comparison between the battery estimation information and the battery measurement information. 7 . The apparatus of claim 1 , wherein the entropy calculator is configured to calculate a difference between the battery estimation information and the battery measurement information, to calculate a probability that the difference occurs, and to calculate the information entropy from the probability. 8 . The apparatus of claim 1 , wherein the battery abnormality determiner is configured to determine that the battery is in the abnormal state in response to a value of the information entropy being greater than a threshold. 9 . The apparatus of claim 1 , wherein the battery abnormality determiner is configured to determine that the battery is in the abnormal state in response to an interval, in which a value of the information entropy is greater than a threshold, being detected to be equal to or greater than an interval. 10 . A method to detect an abnormal state of a battery, the method comprising: calculating an information entropy based on battery estimation information and battery measurement information, wherein the battery estimation information corresponds to an output required from the battery, and the battery measurement information is collected from the battery; and determining whether the battery is in the abnormal state based on the information entropy. 11 . The method of claim 10 , further comprising: collecting the battery measurement information from the battery; collecting usage information associated with a usage history of an electronic apparatus including the battery; and estimating the battery estimation information from the usage information. 12 . The method of claim 11 , wherein the estimating comprises transforming the usage information to a power corresponding to the output and calculating a voltage corresponding to the power. 13 . The method of claim 10 , wherein the calculating comprises storing a result of a comparison between the battery estimation information and the battery measurement information during a time window of a predetermined length to calculate the information entropy. 14 . The method of claim 10 , wherein the calculating comprises calculating the information entropy based on a result of a comparison between the battery estimation information and the battery measurement information. 15 . The method of claim 10 , wherein the calculating comprises: calculating a difference between the battery estimation information and the battery measurement information; calculating a probability of the difference from occurring; and calculating the information entropy from the probability. 16 . The method of claim 10 , wherein the determining comprises determining that the battery is in the abnormal state in response to a value of the information entropy being greater than a threshold. 17 . A method to detect an abnormal state of a battery, the method comprising: collecting battery measurement information from the battery; acquiring battery estimation information from an output required from the battery; and comparing the battery measurement information and the battery estimation information to determine whether the battery is in an abnormal state. 18 . The method of claim 17 , wherein the acquiring comprises: collecting usage information associated with a usage history of an electronic apparatus including the battery; and transforming the usage information to a power corresponding to the output and calculating a voltage corresponding to the power. 19 . The method of claim 17 , further comprising: determining that the battery is in the abnormal state in response to a difference between the battery estimation information and the battery measurement information being greater than a threshold. 20 . A non-transitory computer readable recording medium storing a program to cause a computer to implement the method of claim 10 . 21 . A battery abnormality detection apparatus, comprising: a battery information collector configured to collect battery measurement information from a battery; a usage information collector configured to collect usage information associated with a usage history of an electronic apparatus including the battery and transform the usage information to a power corresponding to an output required from the battery; an estimator configured to acquire battery estimation information from the usage information, or from an estimated voltage based on the power; an entropy calculator configured to calculate an information entropy based on the battery estimation information and the battery measurement information; and a battery abnormality determiner configured to determine, based on the information entropy, whether the battery is in the abnormal state. 22 . The apparatus of claim 21 , further comprising: a storage configured to store a difference between the battery estimation information and the battery measurement information during a time window of a predetermined length in which the entropy calculator calculates the information entropy; and a notifier configured to notify a current state of the battery as the abnormal state, in response to the battery abnormality determiner determining that the battery is in the abnormal state. 23 . The apparatus of claim 21 , wherein the battery measurement information comprises at least one of a measured voltage signal, a measured current signal, and a measured temperature signal of the battery. 24 . The apparatus of claim 21 , wherein the power is calculated from the output and raw data corresponding to the usage information during a time window of a predetermined length, and the time window is a temporal length of information set to compute the info
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