Modeling and SoC Estimation of Li-ion Batteries with an Improved Variable Forgetting Factor RLS Method Augmented with Extended Kalman Filter

Hossain, M; Haque, Enamul; Arif, Mohammad Taufiqul; Saha, S; Maung Than Oo, Aman

Modeling and SoC Estimation of Li-ion Batteries with an Improved Variable Forgetting Factor RLS Method Augmented with Extended Kalman Filter

conference contribution

posted on 2024-06-04, 06:00 authored by M Hossain, Enamul HaqueEnamul Haque, Mohammad Taufiqul ArifMohammad Taufiqul Arif, S Saha, Aman Maung Than Oo

Modeling and SoC Estimation of Li-ion Batteries with an Improved Variable Forgetting Factor RLS Method Augmented with Extended Kalman Filter

History

Volume

2022-October

Pagination

1-9

Location

Detroit, Mich.

Start date

2022-10-09

End date

2022-10-14

ISSN

0197-2618

ISBN-13

9781665478151

Language

English

Publication classification

E1 Full written paper - refereed

Title of proceedings

IAS 2022 : Proceedings of the IEEE Industry Applications Society Annual Meeting 2022

Event

IEEE Industry Applications Society Annual Meeting (2022 : Detroit, Mich.)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Publication URL

http://dx.doi.org/10.1109/ias54023.2022.9939792

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Keywords

li-ion battery state of charge recursive least-square method variable forgetting factor extended Kalman filter sudden operating state change wide operating temperature

Modeling and SoC Estimation of Li-ion Batteries with an Improved Variable Forgetting Factor RLS Method Augmented with Extended Kalman Filter

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Start date

End date

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