Effect of Supercapacitor Modelling and Unit Cell Capacitance Selection Towards Economic Sizing of Energy Storage System in Electric Vehicle

Bansal, Sakshi; Nambisan, Praveen; Saha, Pankaj; Khanra, Munmun

doi:10.1016/j.est.2022.104517

Cited by 8 publications

(2 citation statements)

References 19 publications

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“…A commercially available 3000F supercapacitor (Maxwell BCAP3000) was considered to study the effectiveness of this technology in supporting the electrolyzer unit. To simulate the electrical dynamics of the supercapacitor, a 3rd-order ECM of the system has been adopted from [31]. The model consists of a capacitor (C h ), a resistor (R esr ), and two parallel RC branches (R 1 C 1 , R 2 C 2 ).…”

Section: Supercapacitorsmentioning

confidence: 99%

Enabling LVRT Compliance of Electrolyzer Systems Using Energy Storage Technologies

Saha,

Zhao,

Stroe

et al. 2023

Batteries

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This paper presents a comprehensive techno-economic analysis of different energy storage systems (ESSs) in providing low-voltage ride-through (LVRT) support for power electronics-based electrolyzer systems. A framework for analyzing the performance of a grid-integrated electrolyzer-ESS system is developed, taking into account realistic scenarios and accurate models. The system components consist of a 500 kW alkaline electrolyzer module integrated with a medium-voltage grid and three different commercially available ESSs based on Li-ion battery, Li-ion capacitor, and supercapacitor technology, respectively. The performance of these ESSs is extensively studied for three LVRT profiles, with a primary focus on the upcoming Danish grid code. In order to perform simulation studies, the system is implemented on the MATLAB®/Simulink®-PLECS® platform. The results demonstrate that all three energy storage technologies are capable of supporting the electrolyzer systems during low-voltage abnormalities in the distribution grid. The study also reveals that the supercapacitor-based technology seems to be more appropriate, from a techno-economic perspective, for fault ride-through (FRT) compliance.

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Section: Supercapacitorsmentioning

confidence: 99%

Enabling LVRT Compliance of Electrolyzer Systems Using Energy Storage Technologies

Saha,

Zhao,

Stroe

et al. 2023

Batteries

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“…9 Sakshi et al compared three common ECM circuit models (Rint model, dual branch model, and DP model) and found that the DP model had the highest accuracy. 10 Castiglia et al established a three-branch model and considered the phenomenon of residual charges. 11 The FOM uses constant phase angle components instead of pure capacitive components in the equivalent circuit RC model to represent the diffusion phenomenon and charge transfer reaction of supercapacitors.…”

mentioning

confidence: 99%

State of Charge Estimation of Supercapacitor Under Different Temperatures Using Particle Filter Algorithm Based on Fractional-Order Model

Liu,

Xu,

Zhang

et al. 2023

J. Electrochem. Soc.

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With the rise of new energy vehicles, supercapacitors (SCs) have been used as energy storage components for new energy vehicles due to their high-power density and good low-temperature performance. Accurate modeling and state of charge estimation of SC can ensure the safe operation of new energy vehicles. In order to explore the low-temperature performance of supercapacitors, this paper proposes a dual ZARC fractional-order circuit model to simulate the dynamic characteristics of SC. Using adaptive genetic algorithm for SC parameter identification, the model terminal voltage error is less than 6.5 mV. In addition, the SOC of SC at different temperatures and working conditions is estimated by using the fractional-order particle filter (FOPF) method and compared with the fractional-order extended Kalman filter (FOEKF). The experimental results show that the FOPF method has high estimation accuracy and robustness. Under the temperature of minus 40℃, the maximum mean absolute error and maximum root-mean-square deviation of SOC estimation under different working conditions are less than 2%, showing good low-temperature performance.

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Tungsten trioxide based high-performance supercapacitor for application in electric vehicles

Swaminathan,

Pazhamalai,

Krishnamoorthy

et al. 2024

Journal of Energy Storage

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Effect of Supercapacitor Modelling and Unit Cell Capacitance Selection Towards Economic Sizing of Energy Storage System in Electric Vehicle

Cited by 8 publications

References 19 publications

Enabling LVRT Compliance of Electrolyzer Systems Using Energy Storage Technologies

Enabling LVRT Compliance of Electrolyzer Systems Using Energy Storage Technologies

State of Charge Estimation of Supercapacitor Under Different Temperatures Using Particle Filter Algorithm Based on Fractional-Order Model

Tungsten trioxide based high-performance supercapacitor for application in electric vehicles

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