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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
chemistry
Fractional-order modeling and State-of-Charge estimation for ultracapacitors
Journal of Power Sources, Volume 314, Year 2016
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Description
Ultracapacitors (UCs) have been widely recognized as an enabling energy storage technology in various industrial applications. They hold several advantages including high power density and exceptionally long lifespan over the well-adopted battery technology. Accurate modeling and State-of-Charge (SOC) estimation of UCs are essential for reliability, resilience, and safety in UC-powered system operations. In this paper, a novel fractional-order model composed of a series resistor, a constant-phase-element (CPE), and a Walburg-like element, is proposed to emulate the UC dynamics. The Grünald-Letnikov derivative (GLD) is then employed to discretize the continuous-time fractional-order model. The model parameters are optimally extracted using genetic algorithm (GA), based on the time-domain data acquired through the Federal Urban Driving Schedule (FUDS) test. By means of this fractional-order model, a fractional Kalman filter is synthesized to recursively estimate the UC SOC. Validation results prove that the proposed fractional-order modeling and state estimation scheme is accurate and outperforms current practice based on integer-order techniques. © 2016 Published by Elsevier B.V.
Authors & Co-Authors
Zhang, Lei
China, Beijing
Beijing Institute of Technology
Australia, Sydney
University of Technology Sydney
Wang, Zhenpo
China, Beijing
Beijing Institute of Technology
Sun, Fengchun
China, Beijing
Beijing Institute of Technology
Dorrell, David G.
Australia, Sydney
University of Technology Sydney
Statistics
Citations: 120
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.1016/j.jpowsour.2016.01.066
ISSN:
03787753
Research Areas
Genetics And Genomics