Comparison between RLS-GA and RLS-PSO for Li-ion battery SOC and SOH estimation: a simulation study

This paper proposes a new method of concurrent SOC and SOH estimation using a combination of recursive least square (RLS) algorithm and particle swarm optimization (PSO). The RLS algorithm is equipped with multiple fixed forgetting factors (MFFF) which are optimized by PSO. The performance of the hy...

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Bibliographic Details
Main Authors: Latif Rozaqi, Estiko Rijanto, Stratis Kanarachos
Format: Article
Language:English
Published: Indonesian Institute of Sciences 2017-07-01
Series:Journal of Mechatronics, Electrical Power, and Vehicular Technology
Subjects:
Online Access:http://mevjournal.com/index.php/mev/article/view/369