Second-life applications of supercapacitors: Effective capacitance prognosis and aging

Saha, Pankaj; Dey, Satadru; Khanra, Munmun

doi:10.1016/j.jpowsour.2021.229824

Cited by 18 publications

(8 citation statements)

References 35 publications

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“…All the preceding techniques are restricted to the correct characterization of SCs lifespan. The effective capacity maintained in the cell, matching to the load profile of the second life functions after the end of lifetime and/or retirement from the first life, is described as a SC's second‐life capacity 22 . It provides a capacitive health prediction model for a retired SC for second life function in a specific application in this regard.…”

Section: Aging and Estimation State Of Supercapacitorsmentioning

confidence: 99%

“…In, 22 the second‐life application of aged/retired SCs is determined through a novel power‐based capacitance prediction model and identification approach. The model takes use of the real aging mechanism, which results in a longer time constant for the ions to pass through.…”

Section: Aging and Estimation State Of Supercapacitorsmentioning

confidence: 99%

“…Due to physical phenomena in SCs, a quick and massive charge/discharge load profile is impossible to use a significant portion of that energy density 21 . Thus, as the power of the applied load profile grows, the quantity of energy stored or derivable from the SCs decreases 22 …”

Section: Introductionmentioning

confidence: 99%

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A review of supercapacitors modeling, SoH, and SoE estimation methods: Issues and challenges

Laadjal

Cardoso

2021

Int J Energy Res

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Summary Supercapacitors (SCs), or ultracapacitors, due to their attractive features, such as, high power density, long life cycle, etc., have received much attention from the transportation sector. SCs can be used as an additional energy storage system (ESS) in combination with lithium‐ion batteries to enhance the performance of electric vehicles (EVs) in dynamic states, including acceleration and regenerative braking modes of operation. Online accurate estimation of SCs' state of health (SoH) and state of energy (SoE) is essential for an efficient energy management and real‐time condition monitoring in EV applications. The accuracy of the estimation of the SoE and SoH is based on the model's efficiency, which ensures that in order to minimize the impact of aging, model parameters should be defined in real time. Nevertheless, because the SC model is obviously nonlinear and broad in scale, online identification of the parameters estimation is usually difficult. In this paper, a generalized SC model of high accuracy and good robustness is proposed. The classification of the estimation methodologies for SoH and SoE of SC will be very helpful in choosing the appropriate method for the development of reliable and secure ESS and an energy management strategy for EVs.

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Section: Aging and Estimation State Of Supercapacitorsmentioning

confidence: 99%

Section: Aging and Estimation State Of Supercapacitorsmentioning

confidence: 99%

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A review of supercapacitors modeling, SoH, and SoE estimation methods: Issues and challenges

Laadjal

Cardoso

2021

Int J Energy Res

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“…Their results indicated that the proposed approach has high accuracy 32 . Saha et al proposed a capacitance prognosis model to identify the effective capacitance for the second‐life applications of supercapacitors 33 . Wang et al established a circuit model, identified the model parameters using recursive least square, and estimated the SOC of supercapacitors and batteries 34 .…”

Section: Introductionmentioning

confidence: 99%

“…32 Saha et al proposed a capacitance prognosis model to identify the effective capacitance for the secondlife applications of supercapacitors. 33 Wang et al established a circuit model, identified the model parameters using recursive least square, and estimated the SOC of supercapacitors and batteries. 34 Briat et al investigated the effects of cut-off voltage and temperature on the capacitance recovery during cycling aging tests.…”

mentioning

confidence: 99%

State of charge estimation of supercapacitors based on multi‐innovation unscented Kalman filter under a wide temperature range

Zhang

Yang

et al. 2022

Intl J of Energy Research

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Supercapacitors are characterized by a long service lifetime and high power density, which can meet the instantaneous high-power demand during the acceleration of electric vehicles. In this study, a fractional-order model is developed to simulate the polarization effect and charging/discharging characteristics of supercapacitors, considering the precision of the electrochemical model and the amount of calculation of the equivalent circuit model and using the adaptive genetic algorithm to identify the parameters. The accurate prediction of the state of charge (SOC) can improve efficiency, prolong the service lifetime, and ensure the safety of supercapacitors. This study proposes a multiinnovation unscented Kalman filter algorithm based on the fractional-order model to improve the SOC estimation accuracy. The proposed algorithm is compared with other algorithms and analyzed under different temperatures and operating conditions to verify the accuracy and effectiveness of the proposed algorithm in estimating the SOC and tracking the terminal voltage.Experimental results show that the root mean squared error and mean absolute error of the proposed algorithm are less than those of the other algorithms. The proposed algorithm accurately estimates the SOC and tracks the terminal voltage. The maximum root mean squared error and mean absolute error of SOC estimation error are 1.8% and 1.78%, respectively.

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Life After Death: Re‐Purposing End‐of‐Life Supercapacitors for Electrochemical Water Desalination

Ren,

Torkamanzadeh,

Arnold

et al. 2024

Batteries & Supercaps

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This study explores the potential of re‐purposing end‐of‐life commercial supercapacitors as electrochemical desalination cells, aligning with circular economy principles. A commercial 500‐Farad supercapacitor was disassembled, and its carbon electrodes underwent various degrees of modification. The most straightforward modification involved NaOH‐etching of the aluminum current collector to produce free‐standing carbon films. More advanced modifications included CO2 activation and binder‐added wet processing of the electrodes. When evaluated as electrodes for electrochemical desalination via capacitive deionization of low‐salinity (20 mM) NaCl solutions, the minimally modified NaOH‐etched carbon electrodes achieved an average desalination capacity of 5.8 mg g‐1 and a charge efficiency of 80 %. In contrast, the CO2‐activated, wet‐processed electrodes demonstrated an improved desalination capacity of 7.9 mg g‐1 and a charge efficiency above 90 % with stable performance over 20 cycles. These findings highlight the feasibility and effectiveness of recycling supercapacitors for sustainable water desalination applications, offering a promising avenue for resource recovery and re‐purposing in pursuing environmental sustainability.

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Second-life applications of supercapacitors: Effective capacitance prognosis and aging

Cited by 18 publications

References 35 publications

A review of supercapacitors modeling, SoH, and SoE estimation methods: Issues and challenges

A review of supercapacitors modeling, SoH, and SoE estimation methods: Issues and challenges

State of charge estimation of supercapacitors based on multi‐innovation unscented Kalman filter under a wide temperature range

Life After Death: Re‐Purposing End‐of‐Life Supercapacitors for Electrochemical Water Desalination

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