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Abnormal detection method and device for power battery

An anomaly detection and power battery technology, applied in the direction of measuring devices, measuring electricity, measuring electrical variables, etc., can solve the problems of ineffective diagnosis of local abnormal values ​​and difficult abnormal diagnosis

Active Publication Date: 2021-03-02
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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Embodiment Construction

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

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

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

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

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Abstract

An embodiment of the present invention provides a method and device for abnormality detection of a power battery. The method includes: acquiring historical data of the power battery; using the historical data to generate an original time series; filtering the original time series, obtaining high-frequency noise time series and low-frequency smooth time series; performing anomaly detection on the high-frequency noise time series to obtain local abnormal data; and obtaining extreme value abnormal data based on the low-frequency smooth time series or the original time series; The local abnormal data and the extreme value abnormal data are used as the final abnormal data of the power battery. The embodiment of the present invention eliminates the influence of the overall trend, and performs more effective abnormal data detection on local non-extreme data.

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. Abnormal data diagnosis refers to finding out abnormal data in power battery data. [0003] The frequency of abnormal data is closely related to the aging degree, lifespan, and safety performance of power batteries. 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, the battery SOH (Section Of Health, battery health) can be judged, and on the other hand, the dangerous power battery can be checked to avoid some battery failures. [0004] The existing abnormal diagnosis methods mainly focus on checki...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/385G01R31/392
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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