Background: In this study, the ultracapacitor has been fabricated based on the BaTiO3/ PEDOT: PSS separator film and polyvinyl alcohol (PVA) electrolyte. On the paper-substrate was coated a film of the graphite nanoparticles (GNPs) as an electrode. The GNPs and surface morphology of the separator, electrolyte and electrode have been characterized using transmission electron microscopy (TEM) and scanning electron microscopy (SEM) respectively.
Method: A piece of white commercial paper (3×6 cm) as a substrate was used. The typical paper has a porosity which transferred electrons between both sides of the separator. For the prevalence of this defect, the dielectric solution was coated on both sides of the separator and blocking layer was fabricated. For the preparation of the dielectric layer, at first PEDOT/PSS (3 g) was added to BaTiO3 (3 g) and the mixture was dispersed with ultrasonic for 10 min.
Results: To further explore the electrochemical performance of the paper ultracapacitor, several measurements are carefully analyzed including cyclic voltammetry and galvanostatic. From the cyclic voltammetry method (C-V curves) the specific capacitance of the ultracapacitor were 350 F g-1, 98 F g-1 and 58 F g-1 for voltage scan rate 20 mV/s, 150 mV/s and 300 mV/s respectively.
Conclusion: Electrochemical Impedance Spectroscopy test is an effective method to analyze and measure the internal resistance of the paper ultracapacitor. From the Nyquist curve, the internal resistance was 80 Ω. The ultracapacitor based on the GNPs electrode due to flexibility and high performance is more suitable for energy storage. In this paper few relevant patents to the ultracapacitors have also been reviewed and cited.
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http://dx.doi.org/10.2174/1872210512666180925103431 | DOI Listing |
Sci Rep
December 2024
Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy.
Hydrogen-based electric vehicles such as Fuel Cell Electric Vehicles (FCHEVs) play an important role in producing zero carbon emissions and in reducing the pressure from the fuel economy crisis, simultaneously. This paper aims to address the energy management design for various performance metrics, such as power tracking and system accuracy, fuel cell lifetime, battery lifetime, and reduction of transient and peak current on Polymer Electrolyte Membrane Fuel Cell (PEMFC) and Li-ion batteries. The proposed algorithm includes a combination of reinforcement learning algorithms in low-level control loops and high-level supervisory control based on fuzzy logic load sharing, which is implemented in the system under consideration.
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November 2024
Associate Professor, Department of Electrical and Electronics Engineering, Vignan Foundation for Science Technology & Research, Guntur, 522017, India.
The design and construction of an adaptive energy management system incorporating a 12 V-2 Ah battery and a 1F ultracapacitor for solar powered hybrid electric vehicles are presented in this paper. The primary storage battery's longevity and overall system efficiency are intended to be increased by the EMS's ability to forecast driving circumstances and lessen the load on it. The method optimizes power distribution among numerous energy storage sources by using sophisticated hardware configurations.
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April 2024
Department of Electrical Engineering, Graphic Era (Deemed to Be University), Dehradun, 248002, India.
The impacts of climate change, combined with the depletion of fossil fuel reserves, are forcing human civilizations to reconsider the design of electricity generation systems to gradually and extensively incorporate renewable energies. This study aims to investigate the technical and economic aspects of replacing all heavy fuel oil (HFO) and light fuel oil (LFO) thermal power plants connected to the electricity grid in southern Cameroon. The proposed renewable energy system consists of a solar photovoltaic (PV) field, a pumped hydroelectric energy storage (PHES) system, and an ultra-capacitor energy storage system.
View Article and Find Full Text PDFThis work presents an energy management scheme (EMS) based on a rule-based grasshopper optimization algorithm (RB-GOA) for a solar-powered battery-ultracapacitor hybrid system. The main objective is to efficiently meet pulsed load (PL) demands and extract maximum energy from the photovoltaic (PV) array. The proposed approach establishes a simple IF-THEN set of rules to define the search space, including PV, battery bank (BB), and ultracapacitor (UC) constraints.
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August 2023
Research Center for Modeling and Simulation (RCMS), National University of Sciences and Technology (NUST), Islamabad, Pakistan. Electronic address:
Plugin hybrid electric vehicles (PHEVs) can solve the concerns of toxic gases emissions from fossil fuel. The PHEV under consideration consists of an on-board smart charger and a hybrid energy storage system (HESS) composed of the battery as a primary power source and an ultracapacitor (UC) as a secondary power source conjoined with two DC-DC bidirectional buck-boost converters. The on-board charging unit comprises of an AC-DC boost rectifier and DC-DC buck converter.
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