Classical equivalent circuit parameters for a double-layer capacitor

Spyker, R.L.; Nelms, R.M.

doi:10.1109/7.869502

Cited by 254 publications

(92 citation statements)

References 9 publications

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“…Some of these are R-C parallel branch model [13], R-C transmission line model [14] and R-C classical model [13,15], etc. Table 2.…”

Section: Ultra-capacitor Modellingmentioning

confidence: 99%

A PSO Tuned Fractional-Order PID Controlled Non-inverting Buck-Boost Converter for a Wave/UC Energy System

Şahin

2016

ijisae

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Abstract:In this study, a fractional order PID (FOPID) controller is designed and used to control a DC-DC non-inverting buck-boost converter (NIBBC) for a wave/ultra-capacitor (UC) energy system. Because of the energy discontinuities encountered in wave energy conversion systems (WECS), an UC is integrated to the WECS. In order to obtain the best controller performance, particle swarm optimization (PSO) is employed to find the optimum controller parameters. Integral of time weighted absolute error (ITAE) criteria is used as an objective function. Also, an optimized PID controller is designed to test the performance of the FOPID controller. The whole system is developed in Matlab/Simulink/SimPower environment. The simulation results show that the FOPID controller provides lower value performance indices than the PID controller in terms of reducing the output voltage sags and swells.

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“…Some of these are R-C parallel branch model [13], R-C transmission line model [14] and R-C classical model [13,15], etc. Table 2.…”

Section: Ultra-capacitor Modellingmentioning

confidence: 99%

A PSO Tuned Fractional-Order PID Controlled Non-inverting Buck-Boost Converter for a Wave/UC Energy System

Şahin

2016

ijisae

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“…The voltage reduction is caused by three major losses: activation losses, ohmic losses, and transport losses. The Supercapacitor can be represented by its classical equivalent circuit consisting of a capacitance (C sc ), an equivalent series resistance (ESR, R sc ) representing the charging and discharging resistance and an equivalent parallel resistance (EPR) representing the self discharging losses ( [26], [27]). …”

Section: A Energy Sources Modelsmentioning

confidence: 99%

Lyapunov based control of hybrid energy storage system in electric vehicles

Fadil

Giri

Guerrero

2012

2012 American Control Conference (ACC)

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Abstract-This paper deals with a Lyapunov based control principle in a hybrid energy storage system for electric vehicle. The storage system consists on fuel cell (FC) as a main power source and a supercapacitor (SC) as an auxiliary power source. The power stage of energy conversion consists on a boost converter connected with the main source and a buck-boost converter connected with the auxiliary source. The converters share the same dc bus which is connected to the traction motor through an inverter. The aim is controlling power converters in order to satisfy the following requirements: i) tight dc bus voltage regulations, ii) perfect tracking of SC current to its reference, and iii) asymptotic stability of the closed loop system. It is clearly shown, using formal analysis and simulations that the designed controller meets all the objectives.

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“…Because of the complex physical phenomena in the double layer interface, traditional simple models such as the classical lumped-parameter electrical model (Spyker & Nelms, 2000) represented by a simple RC circuit composed only of a capacitance with an www.intechopen.com…”

Section: Super Capacitors Bankmentioning

confidence: 99%

Dynamic Modelling and Control Design of Advanced Energy Storage for Power System Applications

Molina¹

2010

Dynamic Modelling

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Classical equivalent circuit parameters for a double-layer capacitor

Cited by 254 publications

References 9 publications

A PSO Tuned Fractional-Order PID Controlled Non-inverting Buck-Boost Converter for a Wave/UC Energy System

A PSO Tuned Fractional-Order PID Controlled Non-inverting Buck-Boost Converter for a Wave/UC Energy System

Lyapunov based control of hybrid energy storage system in electric vehicles

Dynamic Modelling and Control Design of Advanced Energy Storage for Power System Applications

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