Supercapacitors State-of-Health Diagnosis for Electric Vehicle Applications

Mejdoubi, Asmae El; Chaoui, Hicham; Gualous, Hamid; Oukaour, Amarne; Youssef, S.; Sabor, Jalal

doi:10.3390/wevj8020379

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Test bench used for characterization. [6,22,40] The current profile applied to the SC, shown in Figure 2 (a), represents the real currents in electric and hybrid vehicles. As can be seen in this Figure, the current profile represents the real driving profile in hybrid and electric vehicles, which corresponds to the repeated braking and acceleration.…”

Section: Experimental Studymentioning

confidence: 99%

“…The EKF becomes a recognized and widely used technique for state estimation in several nonlinear dynamic systems [21].One of the advantages of EKF is that only terminal measurement of voltage and current is required, which can be done online. El Mejdoubi et al [22]developed a model that permits the real-time diagnosis of supercapacitors' state of health. The proposed model is based on sliding mode observer with an adaptation gain.…”

Section: Introductionmentioning

confidence: 99%

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Comparison Between Recursive Least Squares Method and Kalman Filter for Online Identification of Supercapacitor State of Health

Bououchma

Sabor

2022

Stat., optim. inf. comput.

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Supercapacitors are electrochemical components with high-power density and an intermediate energy density between batteries and conventional capacitors. They are characterized by low series resistance, signifificant equivalent capacitance, and long service life. Nowadays, they have become an attractive alternative storage device for several applications. However, supercapacitors are subject to degradation due to aging, in addition to other factors, such as temperature and high voltage. Therefore, it is very important to be able to estimate their State-of-Health during operation. Electrochemical Impedance Spectroscopy and Maxwell test are very recognized techniques to determine supercapacitors’ state-of-health. However, these methods require the interruption of system operation and thus cannot be performed in real-time (online). The purpose of this paper is the real-time estimation of supercapacitor resistance and capacitance, which are the main indicators of supercapacitor state-of-health. The electrical behavior of the supercapacitor is modeled using equivalent RC circuit model and the identifification is performed using two methods: recursive least squares method and Kalman fifilter. The resistance and the capacitance values obtained with the two methods are compared with capacitance and resistance values using Maxwell experimental test. The values obtained by Kalman fifilter are more accurate for both resistance and capacitance.

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Section: Experimental Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison Between Recursive Least Squares Method and Kalman Filter for Online Identification of Supercapacitor State of Health

Bououchma

Sabor

2022

Stat., optim. inf. comput.

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Early and robust remaining useful life prediction of supercapacitors using BOHB optimized Deep Belief Network

2021

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Comparative Analysis of Energy Storage Technologies for Microgrids

Chehab,

Ben Salah,

Falama

et al. 2023

International Transactions on Electrical Energy Systems

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Nowadays, microgrids (MGs) are receiving a lot of attention. In an economical MG, the battery energy storage system (BESS) plays an important role. One of the biggest challenges in MGs is the optimal choice of the BESS that can lead to better performance of the MG, which will be more flexible, efficient, and effective than traditional power systems. In this paper, we present the modeling and simulation of different energy storage systems including Li-ion, lead-acid, nickel cadmium (Ni-Cd), nickel-metal hybrid (Ni-Mh), and supercapacitor (SC), for renewable energy applications, and more specifically for MGs. The results of simulation show that Li-ion batteries have a better response time than lead-acid batteries, Ni-Cd batteries, and Ni-Mh batteries and thus are more suitable for combination with supercapacitors. Li-ion batteries are the best option for fast-charging applications in MGs. The discharge phase ends with SOC ≤ ±94%, SOC ≤ ±95%, SOC = 95%, SOC < 95%, and SOC < 60%, respectively, for Li-ion, lead-acid, Ni-Cd, Ni-Mh, and supercapacitor. Moreover, the use of the battery management system (BMS) can significantly improve the performance of BESS, leading to higher levels of SOC and longer life span. The obtained results have shown that with an optimization algorithm for energy storage systems, more specifically for the battery-charging mode, the response time of BESSs can be further improved. The effect of ambient temperature has also been investigated on the functional capacities of the batteries. The obtained results demonstrated that extreme temperatures (80°C to −80°C) have a significant impact on battery performance and capacity, especially for Li-ion batteries, with a drop in capacity of up to 50% at −40°C. This highlights the importance of considering the ambient temperature in the design and operation of MGs. Overall, our study provides valuable insights into the optimal selection of BESS and the impact of ambient temperature on their performance, which can help in the development of more efficient and reliable MGs.

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Supercapacitors State-of-Health Diagnosis for Electric Vehicle Applications

Cited by 3 publications

References 18 publications

Comparison Between Recursive Least Squares Method and Kalman Filter for Online Identification of Supercapacitor State of Health

Comparison Between Recursive Least Squares Method and Kalman Filter for Online Identification of Supercapacitor State of Health

Early and robust remaining useful life prediction of supercapacitors using BOHB optimized Deep Belief Network

Comparative Analysis of Energy Storage Technologies for Microgrids

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