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Battery anomaly detection method and device, electronic equipment and storage medium

An anomaly detection and battery technology, which is applied in measurement devices, neural learning methods, and measurement of electricity, etc., can solve the problems of consuming a lot of human resources and computing resources, limited samples of abnormal behavior, and inability to effectively monitor various potential behaviors of batteries. The effect of reducing human and computing resources

Pending Publication Date: 2021-03-05
WUHAN NIO ENERGY CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0004] This abnormal battery detection method needs to set up different detection models for the abnormal behavior of various batteries. Due to the limited samples of abnormal behavior, it not only consumes a lot of human resources and computing resources, but also cannot effectively monitor various potential behaviors of batteries.

Method used

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  • Battery anomaly detection method and device, electronic equipment and storage medium
  • Battery anomaly detection method and device, electronic equipment and storage medium
  • Battery anomaly detection method and device, electronic equipment and storage medium

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Embodiment Construction

[0028] Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present application can be more thoroughly understood, and the scope of the present application can be fully conveyed to those skilled in the art.

[0029] figure 1 It is a flow chart of the steps of a battery abnormality detection method provided in the embodiment of the present application, and the method includes:

[0030] Step 101, acquiring target behavior data of the battery to be tested.

[0031] In the embodiment of this application, the battery to be tested may refer to the power battery in the electric vehicle. With the use of the electric vehicle,...

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Abstract

The invention provides a battery anomaly detection method and device, an electronic device and a storage medium, and is applied to the technical field of battery detection. The method comprises the steps: obtaining target behavior data of a to-be-detected battery; performing self-adaptive transfer learning on a first detection model by using the target behavior data to obtain a second detection model, wherein the first detection model is obtained by pre-training according to historical behavior data of a compliant battery; obtaining a second deviation degree of the second detection model; andunder the condition that the second deviation degree is greater than a deviation degree threshold, determining that the to-be-detected battery is an abnormal battery, wherein the deviation degree threshold is obtained in advance according to a first deviation degree of the first detection model. According to the scheme, various potential abnormal behaviors of the to-be-detected battery can be effectively detected, and manpower and computing resources required by training of the battery detection model are greatly reduced.

Description

technical field [0001] The present application belongs to the technical field of battery detection, and in particular relates to a battery abnormality detection method, device, electronic equipment and storage medium. Background technique [0002] With the development of scientific level and social progress, many types of new energy vehicles have appeared on the market, among which the prospect of electric vehicles is widely optimistic. Battery technology is one of the main bottlenecks restricting the development of electric vehicles. Accidents due to abnormal battery behavior also occur frequently. Therefore, if the abnormal behavior of the power battery is not detected in time, it will seriously threaten the safety of users' lives and property. [0003] In the prior art, various detection models such as equivalent circuit model, electrochemical model and empirical model are usually established, and by obtaining the normal fluctuation range of the specific behavior paramete...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G01R31/385G06N3/04G06N3/08G06N20/00
CPCG01R31/367G01R31/385G06N3/049G06N3/08G06N20/00G06N3/045
Inventor 后士浩郑晓宇张健吴毅成
Owner WUHAN NIO ENERGY CO LTD
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