A novel charged state prediction method of the lithium ion battery packs based on the composite equivalent modeling and improved splice Kalman filtering algorithm

Title
A novel charged state prediction method of the lithium ion battery packs based on the composite equivalent modeling and improved splice Kalman filtering algorithm
Authors
Keywords
Charged state prediction, Lithium ion battery pack, Composite equivalent modeling, Splice Kalman filter, Model adaptive, Noise correction
Journal
JOURNAL OF POWER SOURCES
Volume 471, Issue -, Pages 228450
Publisher
Elsevier BV
Online
2020-06-20
DOI
10.1016/j.jpowsour.2020.228450

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