Thermal Network Model of Supercapacitors Stack

Hijazi, Alaa; Kreczanik, Paul; Bideaux, Éric; Venet, Pascal; Carrault, Guy; Loreto, Michaël Di

doi:10.1109/tie.2011.2158769

Cited by 57 publications

(34 citation statements)

References 17 publications

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“…The second voltage drop presented for same conditions is bigger than the double of the first voltage drop .This example includes only three cells. In reality energy storage systems are composed by tens to hundreds serial cells [30]. Then with the dualistic approach the voltage drop made and required will be much easier to be measured than with the first approach of characterization.…”

Section: Simulation Resultsmentioning

confidence: 99%

Balancing circuit control for supercapacitor state estimation

Shili

Hijazi

Venet

et al. 2015

2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER)

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International audienceIn this paper, an original technique for monitoring the aging of supercapacitor energy storage system is proposed. The aging of supercapacitor is represented by the degradation of its internal parameters as the loss of capacitance and the increase of the Equivalent Series Resistance (ESR). This degradation is continuous until reaching the end of life criteria. The proposed approach is based on estimating the current ESR, of each storage system element with a fast control of the balancing circuit present at the terminal of each storage element. The fast control is applied for a short moment and could be applied at any storage system state with no incidence on the system. The information about this current parameter makes the state of health monitoring possible. The analysis is performed using simulation with realistic storage system models in order to demonstrate and validate the effectiveness and the accuracy of the proposed technique. The results presented covers storage system such as supercapacitor but could be also applied to batteries

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Section: Simulation Resultsmentioning

confidence: 99%

Balancing circuit control for supercapacitor state estimation

Shili

Hijazi

Venet

et al. 2015

2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER)

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“…However, in some cases, individual thermal measurements are not present and supercapacitor temperature could be deduced with a thermal model. The work presented in [37], introduces a simple but efficient thermal model that could be used for example.…”

Section: B Predictive Modelmentioning

confidence: 99%

Balancing Circuit New Control for Supercapacitor Storage System Lifetime Maximization

Shili

Hijazi

Sarı

et al. 2017

IEEE Trans. Power Electron.

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Energy storage elements such as supercapacitors are widely used in high power applications.However, due to single cell voltage limitation, an energy storage system with large number of supercapacitors is often employed. Energy management systems are associated to energy storage systems in order to assure user and equipment safety. Balancing circuits, which enable the equalization of the voltage of each element in series, are a part of energy management system device. The work presented in this paper aims to enhance the lifetime of energy storage systems. It relies on better controlling balancing circuits on the terminals of the storage system elements.With the conventional function of balancing circuit, the energy storage system is limited by its weakest element which may fail prematurely. Thus, a new balancing approach is presented, discussed and analyzed. It is based on the elements degradation level prediction. The model predictive control used with the new approach, aims to equalize aging speed between elements of a module and ensures a maximum lifetime to the energy storage system.A comparison with the conventional control, shows that adopting this new approach, with the same equipment, can enhance the storage system's lifetime by dozens percent. Index Terms-Balancing circuit, Battery Management System (BMS), Electrochemical Double Layer Capacitor (EDLC), State Of Health (SOH), supercapacitor. I.

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“…Several studies have been conducted for the electrical modeling of EDLCs and few models result in drastic increase in the system's nonlinear complexity [28]- [30]. As shown experimentally in [9], [27], the dynamics can be represented by an equivalent RC network circuit model, as revealed in Fig.3.…”

Section: A Modeling Of An Edlcmentioning

confidence: 99%

Online Supercapacitor Diagnosis for Electric Vehicle Applications

Mejdoubi

Oukaour²,

Chaoui

et al. 2016

IEEE Trans. Veh. Technol.

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This paper presents an online diagnosis method for supercapacitors' aging problem. State-of-Health (SoH) estimation is an important feature since aging introduces degradation in supercapacitors' performance, which might eventually lead to their failure. SoH is usually measured by Electrochemical Impedance Spectroscopy (EIS). But, this has to be performed offline and requires interruption of the system's operation. Unlike this method, this paper presents an online diagnosis technique for supercapacitors using an extended Kalman observer as a well-known tool for its particularities and performances to study nonlinear parameters estimation. The main objective of this paper is the online State-of-Health diagnosis based on the supercapacitors aging indicators estimation. Moreover, the proposed online estimation strategy requires only voltage and current measurements, which reduces the number of sensors with respect to other methods. The effectiveness of the proposed online observer is shown through experimental results and robustness to noise is also studied. S 0018-9545 (c)

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Thermal Network Model of Supercapacitors Stack

Cited by 57 publications

References 17 publications

Balancing circuit control for supercapacitor state estimation

Balancing circuit control for supercapacitor state estimation

Balancing Circuit New Control for Supercapacitor Storage System Lifetime Maximization

Online Supercapacitor Diagnosis for Electric Vehicle Applications

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