Power battery anomaly detection method and device

An abnormality detection, power battery technology, applied in the direction of measuring device, measuring electricity, measuring electrical variables, etc., can solve the problem of local abnormal value diagnosis effect is not obvious, difficult to diagnose abnormality and other problems

Active Publication Date: 2019-01-01
上海科列新能源技术有限公司
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Problems solved by technology

[0004] Existing abnormal diagnosis methods mainly focus on checking extreme values ​​(maximum / minimum values). During use, the diagnostic effect on local abnormal values ​​is often not obvious, and most power battery voltage data are in an intermediate state. Traditional methods often Difficult to perform effective anomaly diagnosis on this data

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  • Power battery anomaly detection method and device
  • Power battery anomaly detection method and device

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Embodiment Construction

[0050] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0051] refer to figure 1 , which shows a flow chart of the steps of an embodiment of a power battery abnormality detection method according to the present invention, which may specifically include the following steps:

[0052] Step 101, acquiring historical data of the power battery;

[0053] In the embodiment of the present invention, historical data may include data such as voltage, current, temperature, state of charge, state of health, power state, alarm information, capacity, internal resistance, and pressure difference of the power battery during service. In practical applications, the historical data can be collected by the battery management system, and the collected data can be stored in the local database as the histori...

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Abstract

The embodiment of the invention provides a power battery anomaly detection method and device. The method comprises steps: historical data of the power battery are acquired; the historical data are adopted to generate an original time sequence; the original time sequence is filtered to obtain a high-frequency noise time sequence and a low-frequency smooth time sequence; the high-frequency noise time sequence is subjected to anomaly detection to obtain local anomaly data; based on the low-frequency smooth time sequence or the original time sequence, extreme anomaly data are obtained; and the local anomaly data and the extreme anomaly data are used as final anomaly data of the power battery. Effects of an overall trend are excluded, and more effective anomaly data detection for local non-extreme data can be carried out.

Description

technical field [0001] The invention relates to the technical field of storage batteries, in particular to a power battery abnormality detection method and a power battery abnormality detection device. Background technique [0002] The so-called abnormal data refers to the data that does not conform to the expected behavior pattern during the use of the power battery. The abnormal data diagnosis refers to finding the abnormal data in the power battery data. [0003] The frequency of abnormal data is closely related to the aging degree, life, and safety performance of the power battery. Therefore, abnormal data diagnosis has always been an important part of data analysis and power battery analysis. Through abnormal data diagnosis, on the one hand, it is possible to judge the battery SOH (Section Of Health, battery health), and on the other hand, it is also possible to troubleshoot power batteries that are dangerous to use, so as to avoid some battery failures. [0004] Exis...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
CPCG01R31/3648
Inventor 吴俊峰聂佳
Owner 上海科列新能源技术有限公司
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