Waste power battery consistency index optimization method based on clustering and an average entropy ratio

Abstract

The invention discloses a waste power battery consistency index optimization method based on clustering and an average entropy ratio, and relates to the field of waste power battery index evaluation,which comprises the following steps: index sea selection: any index related to battery attributes can be included into an alternative index library; Primarily selecting, rejecting invalid indexes suchas data unavailability and the like; Screening is conducted, and indexes with redundant information amount larger than a threshold value are deleted through correlation analysis and clustering analysis; optimal selection, the average entropy ratio is calculated, and an index with the highest significance is reserved and selected in combination with a clustering analysis map. According to the method, the indexes are selected in an open manner, the design is reasonable, and more scientific and more effective battery consistency evaluation indexes are obtained through a series of quantitative analysis.

Description

technical field [0001] The invention belongs to the field of index evaluation of waste power batteries, and in particular relates to an optimization of consistency indexes of waste power batteries based on clustering and average entropy ratio. 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 conti...

AI Technical Summary

Problems solved by technology

[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 the long-term use, the degree of deterioration will continue to increase, and the overall performance of the battery pack will be greatly affected

According to the barrel effect theory, the service life of the battery pack will be greatly reduced, and the battery with the most deteriorated degree will become the largest load instead, causing the battery pack to be scrapped in advance

[0004] The traditional method is to replace all the battery packs that do not meet the performance, and recycle the old battery packs by physical and chemical methods or directly enter the secondary market for use. Even if they are directly used in the secondary market, there is still a huge waste. Intact battery cells cannot perform further functions, and single cells with a large degree of cracking are still a load

Images