A method for optimizing the consistency index of spent power batteries based on clustering and information entropy

Abstract

The invention relates to a preferred method for consistency index of waste power battery based on clustering and information entropy, which relates to the field of index evaluation of waste power battery, comprising the following steps: index selection; any index related to battery attribute can be brought into an optional index database; Primary selection, excluding invalid indicators such as unavailable data; Screening, through correlation analysis and clustering analysis to remove redundant information more than the threshold of the index; Preferably, the entropy of information is calculated, and the index with the highest significance is retained by the combination of clustering analysis. The open selection index of the invention is reasonable in design, and more scientific and effective battery consistency evaluation index is obtained through a series of quantitative analysis.

Description

technical field [0001] The invention belongs to the field of index evaluation of waste power batteries, in particular to a method for optimizing consistency indexes of waste power batteries based on clustering and information entropy. Background technique [0002] In recent years, in order to achieve energy saving, emission reduction and urban pollution reduction, the Chinese government has increased its support for the development of electric vehicles. The power battery is the core component of electric vehicles. With the development of time, it will face a huge problem of power battery decommissioning. [0003] Due to the complex factors of the production process and the complex factors of the use environment in the battery pack, the performance of the same battery unit will deteriorate after use, and the degree is different; even the battery that has just left the factory will have certain performance. During long-term use, the degree of deterioration will continue to in...

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