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Abnormal cell identification method of cell system based on auto-encoder

A technology of self-encoder and battery system, which is applied in the direction of instruments, measuring electricity, and measuring electric variables, etc., and can solve difficult problems

Active Publication Date: 2019-02-22
SHANGHAI INT AUTOMOBILE CITY GRP CO LTD +1
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Problems solved by technology

However, how to rationally use the measured voltage time series data to mine the intrinsic parameter differences between single batteries and realize the effective identification of abnormal batteries in battery packs is very difficult, and new methods need to be developed

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  • Abnormal cell identification method of cell system based on auto-encoder
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  • Abnormal cell identification method of cell system based on auto-encoder

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Embodiment Construction

[0077] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0078] Such as figure 1 Shown is an autoencoder-based battery system abnormal battery identification method of the present invention, which includes six steps in total, which are:

[0079] Step 1: Online measurement of the voltage of each single battery during charging and discharging;

[0080] Step 2: performing data compression on the voltage curve;

[0081] Step 3: Feature extraction based on the autoencoder network;

[0082] Step 4: Construct the ce...

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Abstract

The invention relates to the abnormal cell identification method of a cell system based on an auto-encoder. The method comprises the following steps of step1, measuring the voltage of each single cellduring charging and discharging processes in an online mode; step2, carrying out data compression on a voltage curve; step3, carrying out characteristic extraction based on an auto-encoder network; step4, constructing a center standardized characteristic matrix; step5, calculating the mean value and the covariance matrix of the center standardized characteristic matrix; and step6, based on the characteristic matrix, identifying an abnormal cell. Compared with the prior art, by using method of the invention, there are the following advantages that cell characteristics are well visualized; andthe internal characteristic change mechanism of the abnormal cell can be deeply excavated and so on.

Description

technical field [0001] The invention relates to a battery system identification method, in particular to an autoencoder-based battery system abnormal battery identification method. Background technique [0002] Lithium-ion batteries with green environmental protection, high energy density and long service life are increasingly used in new energy vehicles, smart grids and other fields. In practical applications, abnormal batteries are common in lithium-ion battery packs. Each process of manufacturing lithium-ion batteries may affect the performance of the battery, such as affecting particle size distribution, specific surface area, conductivity, and electrode thickness. The accumulation of errors in each process is the main source of the performance difference of a single battery. In addition, the difference in the working environment of the battery will also cause abnormalities in some batteries. Abnormal batteries in the battery pack will reduce the capacity and life of t...

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Application Information

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IPC IPC(8): G01R31/396G01R31/3835
CPCG01R31/3648
Inventor 王伟平金勇贺益君
Owner SHANGHAI INT AUTOMOBILE CITY GRP CO LTD
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