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Multirate Strong Tracking Extended Kalman Filter and Its Implementation on Lithium Iron Phosphate (LiFePO4) Battery System

Lookup NU author(s): Dr Cheng Chin, Professor Ehsan Mesbahi

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Abstract

Lithium Iron phosphate battery has obtained extensive attention of researchers for its high energy density, little contamination and ready availability. In this paper, different numbers of RC branches in the equivalent Thevenin circuit model are explored by comparing accuracy of curve fitting with in-house experimental data. Besides, battery system with 6 cells of second order equivalent circuit is modeled using Matlab/Simscape. A multirate strong tracking extended filter (MRSTEKF) is proposed by introducing the multirate control strategy and lifting technology into strong tracking extended Kalman filter (STEKF) to improve tracking stability and estimation precision of state of charge (SOC). Root mean square error (RMSE) is exploited to evaluate the performance of the algorithms of extended Kalman filter (EKF), STEKF and MRSTEKF. Simulation results demonstrate that the proposed MRSTEKF is faster than EKF and STEKF by 55.34% and 49.51%, and is more precise by 52.66% and 33.88%.


Publication metadata

Author(s): Jia J, Lin P, Chin CS, Toh WD, Gao Z, Lyu H, Cham YT, Mesbahi E

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: IEEE 11th International Conference on Power Electronics and Drive Systems (PEDS 2015)

Year of Conference: 2015

Pages: 640-645

Online publication date: 17/08/2015

Acceptance date: 01/04/2015

ISSN: 2164-5264

Publisher: IEEE

URL: http://dx.doi.org/10.1109/PEDS.2015.7203572

DOI: 10.1109/PEDS.2015.7203572

Library holdings: Search Newcastle University Library for this item

Series Editor(s): Yung C. Liang, National University of Singapore

ISBN: 9781479944026


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