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
Published in:	Energies (Basel) Vol. 8; no. 8; pp. 7703 - 7728
Main Authors:	Li, Xiaoyu, Song, Kai, Wei, Guo, Lu, Rengui, Zhu, Chunbo
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2015
Subjects:	Algorithms battery grouping Clustering Electric batteries Electric vehicles Electrochemical impedance spectroscopy equal-number fractional joint Kalman filter Heat Kalman filters Lithium Mathematical models modified K-means clustering Phosphates Spectrum analysis Vector quantization
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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