Core Sorting of Lithium Battery based on Improved ISODATA Algorithm

The consistency of the power battery is a key issue affecting battery performance and battery life. In order to improve the inconsistency of the power battery, this paper proposes a reasonable static sorting method. Firstly, make unqualified recheck operation of battery core parameters. Secondly, based on the ISODATA clustering algorithm, a new method for calculating the distance between data is defined, and in order to carry out consistent sorting of the battery. The improved ISODATA algorithm provides a way to solve cell consistency problems. It does not rely on the number of manually defined clusters, and adaptively defines the number. According to our redefined distance standard, it can reasonably represent the influence relationship between the parameters of the cell data. Finally, by comparing with k-means and ISODATA experiments, the results show that this sorting method can effectively sort the given cell parameters, and the effect is better.