Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maamar SOUAIHIA"'
Publikováno v:
Journal of Electrical Systems, Vol 15, Iss 4, Pp 553-567 (2019)
Scopus-Elsevier
Scopus-Elsevier
Accurate estimation of the state of charge (SOC) of batteries is an essential task of the battery management system (BMS). The effectiveness of the adaptive extended Kalman filter (AEKF) model-based observer for SOC estimation of the dynamic behavior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::869f5a88eb1bb45fc1455b4719b5c939
https://journal.esrgroups.org/jes/papers/15_4_5.pdf
https://journal.esrgroups.org/jes/papers/15_4_5.pdf
Publikováno v:
Advances in Green Energies and Materials Technology ISBN: 9789811603778
This paper presents a comparison of two strategies of estimation the state of charge (SOC) for Lithium-ion battery. Since the SOC cannot be directly measured, the extended Kalman filter (EKF) and modified sliding mode observer (SMO) algorithms were a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a0624ce83b13d285ea57836b829bdc2
https://doi.org/10.1007/978-981-16-0378-5_15
https://doi.org/10.1007/978-981-16-0378-5_15
An accurate estimation technique of the state of charge (SOC) of batteries is an essential task of the battery management system. The adaptive Kalman filter (AEKF) has been used as an obsever to investigate the SOC estimation effectiveness. Therefore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d791e530aecdd31d6ef25f0f657050f
https://zenodo.org/record/4513722
https://zenodo.org/record/4513722
Publikováno v:
Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 7
The usage of batteries in recent years has become widespread in many fields e.g. in electric vehicles, energy renewable and stand-alone systems which require a robust approach for estimation of the state of charge (SOC). The SOC represents an importa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2421b168568efe5e75f4191063dd3a4c
https://doi.org/10.11591/ijeei.v7i2.1002
https://doi.org/10.11591/ijeei.v7i2.1002
Publikováno v:
International Journal of Applied Power Engineering (IJAPE). 10:1
This paper focuses on the state of charge estimation (SOC) for battery Li-ion. By modeling a battery based on the equivalent circuit model, the extended Kalman filter approach can be applied to estimate the battery SOC. An electrical battery model is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d43a0be80ecd88ae9d8e0d7520d448d9
https://doi.org/10.11591/ijape.v10.i1.pp1-10
https://doi.org/10.11591/ijape.v10.i1.pp1-10