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Abnormal data detection method and device for power battery

A technology of abnormal data detection and power battery, which is applied in the direction of measurement device, measurement of electricity, measurement of electric variables, etc., can solve the problems of ineffective local abnormal value diagnosis and difficult abnormal diagnosis.

Active Publication Date: 2021-09-10
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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  • Abnormal data detection method and device for power battery

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Embodiment Construction

[0042] 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.

[0043] refer to figure 1 , which shows a flow chart of the steps of an embodiment of a method for detecting abnormal data of a power battery according to the present invention, which may specifically include the following steps:

[0044] Step 101, acquiring the historical data of the power battery; the historical data corresponds to a time node;

[0045] 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, pressure difference, and self-discharge of the power battery during service. Among them, the historical data corresponds to a time node. For example, a piece of historic...

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Abstract

An embodiment of the present invention provides a method and device for detecting abnormal data of a power battery. The method includes: acquiring historical data of the power battery; the historical data corresponds to a time node; The time node corresponding to the historical data is the detection point, and the historical data of the preset time step before the detection point is obtained as the target data; the historical data after the detection point is used to generate the original time series; the detection point is used as the starting point , generating a forecast time series; calculating the difference between the original time series and the forecast time series to obtain a difference time series; performing anomaly detection on the difference time series to obtain abnormal data of the mobile battery. The embodiment of the present invention can avoid the problem that it is difficult to judge local and overall abnormal values ​​at the same time in the traditional method; offline and online analysis can be performed at the same time, so as to rapidly diagnose and analyze abnormal data.

Description

technical field [0001] The invention relates to the technical field of storage batteries, in particular to a method for detecting abnormal data of a power battery and a device for detecting abnormal data of a power battery. 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, the battery SOH (state of health, battery health) can be judged, and on the other hand, it can also be used to troubleshoot power batteries that are dangerous to use, so as to avoid some battery failures. [...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/367
Inventor 吴俊峰干士
Owner 上海科列新能源技术有限公司
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