State of charge estimation of lithium-ion battery based on improved forgetting factor recursive least squares-extended Kalman filter joint algorithm

In order to solve the problem that forgetting factor recursive least squares (FFRLS) is prone to abnormal jitter and even divergence under complex working conditions, improved forgetting factor recursive least squares based on dynamic constraint and parameter backtracking is proposed. A joint algori...

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Bibliographic Details

Published in:	Journal of energy storage Vol. 55; p. 105474
Main Authors:	Ge, Caian, Zheng, Yanping, Yu, Yang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.11.2022
Subjects:	Joint algorithm lithium-ion battery On-line identification SOC estimation On-line identification Joint algorithm SOC estimation lithium-ion battery
ISSN:	2352-152X, 2352-1538
Online Access:	Get full text
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