Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization

This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, voltage, subject to cyclic voltage and current sources of varying amplitudes...

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Published inIEEE open journal of the Industrial Electronics Society Vol. 1; pp. 166 - 183
Main Authors Mukhopadhyay, Shayok, Dhaouadi, Rached, Takrouri, Mohannad, Dogga, Raveendhra
Format Journal Article
LanguageEnglish
Published New York IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptation models
Computational modeling
Current measurement
Current sources
Current voltage characteristics
Electric vehicles
Energy dissipation
Energy storage
Equivalent circuits
Exact solutions
Hysteresis
Hysteresis loop
Integrated circuit modeling
Mathematical models
Optimization
Parameter estimation
Parameter identification
Stabilization
supercapacitor
Supercapacitors
universal adaptive stabilization
Online AccessGet full text
ISSN2644-1284
2644-1284
DOI10.1109/OJIES.2020.3008339

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Abstract This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, voltage, subject to cyclic voltage and current sources of varying amplitudes and frequency, consistent with electric vehicle driving cycles, are developed. Supercapacitor I-V relationships show hysteresis, indicating simultaneous energy storage and dissipation mechanisms. A reduced equivalent circuit model is proposed to accurately represent hysteresis I-V characteristics. The proposed UAS+O based technique for estimating model parameters, is supported by mathematical proofs, simulation, and experimental results.
AbstractList This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, voltage, subject to cyclic voltage and current sources of varying amplitudes and frequency, consistent with electric vehicle driving cycles, are developed. Supercapacitor I-V relationships show hysteresis, indicating simultaneous energy storage and dissipation mechanisms. A reduced equivalent circuit model is proposed to accurately represent hysteresis I-V characteristics. The proposed UAS+O based technique for estimating model parameters, is supported by mathematical proofs, simulation, and experimental results.
Author Takrouri, Mohannad
Dhaouadi, Rached
Dogga, Raveendhra
Mukhopadhyay, Shayok
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SubjectTerms Adaptation models
Computational modeling
Current measurement
Current sources
Current voltage characteristics
Electric vehicles
Energy dissipation
Energy storage
Equivalent circuits
Exact solutions
Hysteresis
Hysteresis loop
Integrated circuit modeling
Mathematical models
Optimization
Parameter estimation
Parameter identification
Stabilization
supercapacitor
Supercapacitors
universal adaptive stabilization
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Title Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization
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