Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization

• Published in: IEEE 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
• Language: English
• 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
• ISSN: 2644-1284; 2644-1284
• DOI: 10.1109/OJIES.2020.3008339

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.