Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization

Shayok Mukhopadhyay,Rached Dhaouadi,Raveendhra Dogga,Mohannad Takrouri

doi:10.1109/ojies.2020.3008339

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.

Highlights

Supercapacitors have received a lot of attention recently and are being considered as a viable auxiliary power source due to their outstanding power characteristics
EXPERIMENTAL RESULTS FOR ADAPTIVE PARAMETERS ESTIMATION the results of the proposed universal adaptive stabilization (UAS)+O based supercapacitor parameter estimation scheme are presented
For testing of the supercapacitor model parameters obtained using the UAS+O based procedure, the results shown in Tables 2 and 3 are verified with four data sets, with the supercapacitor current as the input, and the supercapacitor terminal voltage as the output

Summary

Introduction

Supercapacitors have received a lot of attention recently and are being considered as a viable auxiliary power source due to their outstanding power characteristics. They have been integrated successfully with energy storage systems for many industrial applications such as electric vehicles and photovoltaic energy systems. To facilitate the integration of supercapacitors with batteries and electric vehicles, an accurate dynamic model is needed to represent the static and dynamic behavior of SCs. To facilitate the integration of supercapacitors with batteries and electric vehicles, an accurate dynamic model is needed to represent the static and dynamic behavior of SCs Such equivalent models will be useful to determine the state of charge and power capability of the energy storage system and enable efficient energy management, and scheduling of future electric vehicle power sources. It is desirable to have an equivalent model which is not complex to allow a practical parameter identification and a relatively simple commissioning procedure of a supercapacitor enabled electric vehicle system

Methods

Results

Conclusion