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Wirun A/l Prayun
Universiti Teknologi Malaysia
Computer Science & IT

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Battery State-of-Charge Estimation with Extended Kalman-Filter using Third-Order Thevenin Model Low Wen Yao; Wirun A/l Prayun; Mohd Junaidi Bin Abdul Aziz; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 2: June 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i2.1467

Abstract

Lithium-ion battery has become the mainstream energy storage element of the electric vehicle. One of the challenges in electric vehicle development is the state-of-charge estimation of battery. Accurate estimation of state-of-charge is vital to indicate the remaining capacity of the battery and it will eventually maximize the battery performance and ensures the safe operation of the battery. This paper studied on the application of extended Kalman-filter and third order Thevenin equivalent circuit model in state-of-charge estimation of lithium ferro phosphate battery. Random test and pulse discharge test are conducted to obtain the accurate battery model. The simulation and experimental results are compared to validate the proposed state-of-charge estimation method.
Co-Authors Low Wen Yao Mohd Junaidi Bin Abdul Aziz Tole Sutikno