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Improved Fixed Range Forgetting Factor-Adaptive Extended Kalman Filtering (FRFF-AEKF) Algorithm for the State of Charge Estimation of High-Power Lithium-Ion Batteries

Version 2 2024-06-03, 02:41
Version 1 2024-01-24, 04:09
journal contribution
posted on 2024-06-03, 02:41 authored by Etse Dablu Bobobee, Shunli Wang, Chuanyun Zou, Emmanuel Appiah, Heng Zhou, Paul Takyi-Aninakwa, Md Amdadul Haque
Improved Fixed Range Forgetting Factor-Adaptive Extended Kalman Filtering (FRFF-AEKF) Algorithm for the State of Charge Estimation of High-Power Lithium-Ion Batteries

History

Journal

International Journal of Electrochemical Science

Volume

17

Article number

221146

Pagination

1-19

Location

Amsterdam, The Netherlands

Publisher DOI

ISSN

1452-3981

eISSN

1452-3981

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

11

Publisher

Elsevier

Publication URL

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    Research Publications

    Categories

    Keywords

    adaptive extended Kalman filtering algorithmCHALLENGESELECTRIC VEHICLESElectrochemistryfixed range forgetting factorHEALTH ESTIMATIONLithium-ion batteriesMODELPhysical SciencesScience & TechnologySOC ESTIMATIONstate of chargeThevenin equivalent model

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    All Rights Reserved

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