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Journal > TELKOMNIKA Telecommunication, Computing, Electronics and Control > Battery State-of-Charge Estimation with Extended Kalman-Filter using Third-Order Thevenin Model

 

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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Vol 13, No 2: June 2015
Battery State-of-Charge Estimation with Extended Kalman-Filter using Third-Order Thevenin Model
Yao, Low Wen ( Universiti Teknologi Malaysia)
Prayun, Wirun A/l ( Universiti Teknologi Malaysia)
Abdul Aziz, Mohd Junaidi Bin ( Universiti Teknologi Malaysia)
Sutikno, Tole ( Universitas Ahmad Dahlan)
Article Info   ABSTRACT
Published date:
01 Jun 2015
 
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.
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