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Core Sorting of Lithium Battery based on Improved ISODATA Algorithm

机译:基于改进的ISODATA算法的锂电池核心分类

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摘要

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.
机译:电力电池的一致性是影响电池性能和电池寿命的关键问题。为了改善电力电池的不一致,本文提出了合理的静态分选方法。首先,制定不合格的重新检查电池核心参数的操作。其次,基于ISOData聚类算法,定义了一种计算数据之间的距离的新方法,并且为了执行电池的一致排序。改进的ISODATA算法提供了解决小区一致性问题的方法。它不依赖于手动定义的群集的数量,并自适应地定义数字。根据我们的重新定义距离标准,它可以合理地代表细胞数据参数之间的影响关系。最后,通过与K-means和IsoData实验进行比较,结果表明,该分选方法可以有效地对给定的小区参数进行分类,并且效果更好。

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