Method for screening retired batteries of electric vehicles through AI detection

A technology for electric vehicles and batteries, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., and can solve the problems of high cost and long detection method cycle.

Active Publication Date: 2021-08-10
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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AI Technical Summary

Problems solved by technology

[0004] This application provides a method for screening by AI detection of retired batteries of electric vehicles, aiming to

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  • Method for screening retired batteries of electric vehicles through AI detection
  • Method for screening retired batteries of electric vehicles through AI detection
  • Method for screening retired batteries of electric vehicles through AI detection

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Embodiment Construction

[0063] The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. Wherein, similar elements in different implementations adopt associated similar element numbers. In the following implementation manners, many details are described for better understanding of the present application. However, those skilled in the art can readily recognize that some of the features can be omitted in different situations, or can be replaced by other elements, materials, and methods. In some cases, some operations related to the application are not shown or described in the description, this is to avoid the core part of the application being overwhelmed by too many descriptions, and for those skilled in the art, it is necessary to describe these operations in detail Relevant operations are not necessary, and they can fully understand the relevant operations according to the description in the specification and genera...

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Abstract

The invention discloses a method for screening out retired batteries of an electric vehicle through AI detection. The method comprises the following steps of firstly, carrying out preliminary evaluation on the retired batteries, screening out the retired batteries capable of being used in an echelon mode, then disassembling the retired batteries capable of being used in the echelon mode into corresponding battery cells, carrying out capacity grading on the battery cells, and carrying out reference performance test on the battery cells subjected to capacity grading; obtaining performance parameters of the battery cells, carrying out pulse current test on the battery cells to obtain pulse voltage characteristics of the battery cells, inputting the pulse voltage characteristics of the battery cells into a preset neural network model to obtain the capacity of the battery cells, and finally screening out the battery cells which can be used in an echelon manner according to the performance parameters and the capacity of the battery cells; and artificial intelligence being introduced to assist in detection of the battery cell so that the detection time and workload are reduced, and detection precision is improved.

Description

technical field [0001] The invention relates to the technical field of cascade utilization of decommissioned batteries of electric vehicles, in particular to a method for screening the decommissioned batteries of electric vehicles through AI detection. Background technique [0002] In recent years, new energy vehicles such as electric vehicles have been vigorously promoted due to their advantages of low emissions, low pollution, and no use of fossil fuels. However, retired batteries of electric vehicles will pollute the environment, and a large number of retired batteries of electric vehicles will Therefore, it is necessary to recycle the decommissioned batteries of electric vehicles. The current battery recycling methods mainly include cascade utilization and chemical recycling. Compared with chemical recycling, decommissioned battery cascading utilization can excavate and utilize the residual value of batteries without dismantling, destroying or refurbishing batteries. It...

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Application Information

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IPC IPC(8): G01R31/387G01R31/385
CPCG01R31/387G01R31/385
Inventor 金鹏马晓明孙魏廖夏伟王创社
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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