Battery State of Charge Estimation with Extended Kalman Filter Using Third Order Thevenin Model
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 eventuallymaximize
the battery performance and ensures the safe operation of the battery. This
paper studied on theapplication of extended Kalman-filter and third order
Thevenin equivalent circuit model in state-of-chargeestimation of lithium ferro
phosphate battery. Random test and pulse discharge test are conducted toobtain
the accurate battery model. The simulation and experimental results are
compared to validate the proposed state-of-charge estimation method.
Keywords: Lithium Ion Battery,
Battery Management System, State of Charge, Extended Kalman Filter, Energy
Storage System
Author: Low Wen Yao
Journal Code: jptkomputergg150095
