Title

State-Of-Charge Estimation For A Single Lithium Battery Cell Using Extended Kalman Filter

Keywords

Extended Kalman Filter (EKF); hysteresis voltage; relaxation; State-of-charge (SOC)

Abstract

An accurate state-of-charge (SOC) estimation is desired in most battery systems. It increases the reliability of the system and extends the lifetime of the battery. This paper proposes an Extended Kalman Filter (EKF) algorithm to estimate the SOC of a Lithium battery cell. To implement the SOC algorithm, an improved Lithium battery cell model is used. The results of the model and EKF algorithm show the effectiveness and ease of implementation of the proposed technique. © 2011 IEEE.

Publication Date

12-9-2011

Publication Title

IEEE Power and Energy Society General Meeting

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/PES.2011.6039679

Socpus ID

82855172235 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/82855172235

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