A Novel Grouping Method for Lithium Iron Phosphate Batteries Based on a Fractional Joint Kalman Filter and a New Modified K-Means Clustering Algorithm

A Novel Grouping Method for Lithium Iron Phosphate Batteries Based on a Fractional Joint Kalman Filter and a New Modified K-Means Clustering Algorithm

This paper presents a novel grouping method for lithium iron phosphate batteries. In this method, a simplified electrochemical impedance spectroscopy (EIS) model is utilized to describe the battery characteristics. Dynamic stress test (DST) and fractional joint Kalman filter (FJKF) are used to extra...

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Bibliographic Details
Main Authors: Xiaoyu Li, Kai Song, Guo Wei, Rengui Lu, Chunbo Zhu
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Energies
Subjects:
battery grouping
fractional joint Kalman filter
equal-number
modified K-means clustering
Online Access:http://www.mdpi.com/1996-1073/8/8/7703

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