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Binary optimization battery anomaly detection method based on panoramic theoretical analysis

An anomaly detection and theoretical analysis technology, applied in the field of battery energy storage, can solve problems such as poor timeliness and inaccurate anomaly detection, and achieve the effect of improving the detection level and effectiveness

Pending Publication Date: 2021-10-22
NORTH CHINA UNIVERSITY OF TECHNOLOGY +2
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Problems solved by technology

[0004] Aiming at the problems of imprecise abnormality detection and poor timeliness during the operation of the battery system, the present invention integrates the optimization idea into the battery abnormality clustering analysis process, realizes the optimization of several battery aggregation directions and abnormality isolation problems, and automatically, accurately and reliably Complete the analysis of abnormal working conditions of several battery states and lay a solid foundation for safe use

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  • Binary optimization battery anomaly detection method based on panoramic theoretical analysis
  • Binary optimization battery anomaly detection method based on panoramic theoretical analysis
  • Binary optimization battery anomaly detection method based on panoramic theoretical analysis

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Embodiment Construction

[0043] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0044] The invention provides a battery anomaly detection method based on binary optimization based on panorama theoretical analysis. figure 1 The implementation process of the method in the present embodiment has been shown; comprise the following steps:

[0045] Step 1: Take Δt as the sampling time, measure the voltage and current data of n running battery cells with a time length of T, and extract such as the maximum voltage / current difference, average voltage / current, and the maximum rate of change of power to voltage Wait for m key characteristic variables to form an m-dimensional characteristic vector, and normalize several battery characteristic values ​​under the same characteristic; the specific process includes the following steps:

[0046] Step 1.1: Taking Δt as ...

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Abstract

The invention discloses a binary optimization battery anomaly detection method based on panoramic theoretical analysis. The method comprises the following steps: measuring output voltage and current data of a plurality of single electrochemical energy storage batteries in a certain fixed time length, extracting feature vectors of voltage and current of each single electrochemical energy storage battery, and normalizing the feature vectors; defining binary coding individuals formed by 0-1 by measuring the number of the electrochemical energy storage battery monomers, and establishing a metric function for describing battery monomer grouping under a coding string based on the panorama theory by utilizing the distance between feature vectors; continuously evolving and iterating by adopting a genetic algorithm, finding out an optimal coding individual, and establishing a final grouping description of the electrochemical energy storage battery; and analyzing the distribution condition of the battery monomers under the condition that the optimal individual 0-1 coding bit forms the battery monomer grouping, and forming battery abnormal state detection. According to the invention, battery aggregation is taken as an optimization direction for battery anomaly detection, so that the accuracy and reliability of anomaly detection can be improved.

Description

Technical field: [0001] The invention relates to the technical field of battery energy storage, in particular to a battery anomaly detection method based on binary optimization based on panoramic theoretical analysis. Background technique: [0002] As the cumulative installed capacity of energy storage battery projects in operation around the world continues to grow, the number of safety accidents continues to rise. According to incomplete statistics, in the past few years, the major fire accidents of electrochemical energy storage in the world were mainly concentrated in lithium battery energy storage systems. The frequent occurrence of fires in battery packs of battery energy storage systems is due to the fact that the increase in battery quality, quantity, capacity, and energy density greatly increases the possibility and danger of accidents; on the other hand, there are more exothermic reactions inside the battery. , prone to thermal runaway under certain conditions. T...

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Application Information

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IPC IPC(8): G01R31/367G06F17/15G06N3/12
CPCG01R31/367G06N3/126G06F17/15Y02E60/10
Inventor 李建林武亦文周琦杨毅李雅欣马速良
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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