Tuning of Kalman Filter Parameters via Genetic Algorithm for State-of-Charge Estimation in Battery Management System

In this work, a state-space battery model is derived mathematically to estimate the state-of-charge (SoC) of a battery system. Subsequently, Kalman filter (KF) is applied to predict the dynamical behavior of the battery model. Results show an accurate prediction as the accumulated error, in terms of...

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Detalles Bibliográficos
Autores principales: Ting, T. O., Man, Ka Lok, Lim, Eng Gee, Leach, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138764/
https://www.ncbi.nlm.nih.gov/pubmed/25162041
http://dx.doi.org/10.1155/2014/176052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138764/
https://www.ncbi.nlm.nih.gov/pubmed/25162041
http://dx.doi.org/10.1155/2014/176052

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