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All Journal Perfecting a Video Game with Game Metrics Indonesian Journal of Electrical Engineering and Computer Science
Low Wen Yao
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.
Evaluation of Speed and Torque Estimations for the EKF-based Direct Torque Control in Induction Machines Ibrahim Mohd Alsofyani; Nik Rumzi Nik Idris; Y.A. Alamri; Low Wen Yao; Sajjad A. Anbaran
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7659-7667

Abstract

Accurate estimations of unmeasurable variables are required for increasing the performance of sensorless induction motor drives. This can be achieved if the required variables are accurately estimated with a well-established observer.  The paper presents an extended Kalman filter- based direct torque control to investigate the estimations of speed and torque under challenging rotor and stator resistor and load variations at low and high speed regions. In all investigated scenarios, the speed and torque estimation showed good robustness against perturbations and their errors have remained within acceptable error bands.
Co-Authors Ibrahim Mohd Alsofyani Mohd Junaidi Bin Abdul Aziz Nik Rumzi Nik Idris Sajjad A. Anbaran Tole Sutikno Wirun A/l Prayun Y.A. Alamri