Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques

Naseri, Farshid; Karimi, Sepehr; Farjah, Ebrahim; Schaltz, Erik

doi:10.1016/j.rser.2021.111913

Cited by 171 publications

(51 citation statements)

References 125 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, the current loop of the supercapacitor adopts a constant power control mode, and the series structure of ideal capacitance and equivalent series internal resistance is used to simulate the internal circuit of the supercapacitor (Naseri et al, 2021). Unlike batteries, the charging and discharging efficiency of supercapacitors is related only to power.…”

Section: Dynamic Efficiency Model Of a Supercapacitormentioning

confidence: 99%

Optimal Configuration of Fire-Storage Capacity Considering Dynamic Charge-Discharge Efficiency of Hybrid Energy Storage

et al. 2022

View full text Add to dashboard Cite

The combination of thermal power and hybrid energy storage is an effective way to improve the response ability of automatic generation control (AGC) command in thermal power plants. Notably, the configuration of hybrid energy storage capacity is directly related to improvement of the frequency modulation ability of thermal power plants and the coordination of economic benefits. However, the constant efficiency model adopted in capacity configuration will misjudge the actual operating status of each energy storage unit, resulting in unreasonable capacity allocation. In this context, a fire-storage capacity optimization configuration model considering the dynamic charge–discharge efficiency of hybrid energy storage is established. The model presents the functional relationship between charge and discharge power and the efficiency of different types of energy storage. Simulation proves that the proposed strategy can meet the tracking demand of area control error signal in thermal power plants and reduce the planning and operation cost of energy storage.

show abstract

Section: Dynamic Efficiency Model Of a Supercapacitormentioning

confidence: 99%

Optimal Configuration of Fire-Storage Capacity Considering Dynamic Charge-Discharge Efficiency of Hybrid Energy Storage

et al. 2022

View full text Add to dashboard Cite

show abstract

“…[3][4][5] The state of charge (SOC) is the ratio of the remaining useful capacity to the rated capacity of the lithium-ion battery, expressed as a percentage. 6 Accurate SOC estimation is of great significance to prevent damage to the battery and user. Also, it prevents over-charge and over-discharge as it has a functional relationship with the open-circuit voltage to inform the user about the necessary action and ensure safe operation and acceptable durability of lithiumion batteries.…”

Section: Introductionmentioning

confidence: 99%

“…The state of charge (SOC) is the ratio of the remaining useful capacity to the rated capacity of the lithium‐ion battery, expressed as a percentage 6 . Accurate SOC estimation is of great significance to prevent damage to the battery and user.…”

Section: Introductionmentioning

confidence: 99%

A strong tracking adaptive fading‐extended Kalman filter for the state of charge estimation of lithium‐ion batteries

Takyi‐Aninakwa

Wang

Zhang

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

“…43 The literature reveals that, ANN was used frequently for PV applications 44,45 but there are limited initiatives taken for modeling of supercapacitors by Artificial Neural Network (ANN). [46][47][48] So, in this work, our aim is dual. First, to improve capacitance of metals oxides by combination of three materials using the successive electrochemical deposition process onto stainless steel substrate.…”

Section: Introductionmentioning

confidence: 99%

“…ANN can be employed for modeling of nonlinear system in many applications 43 . The literature reveals that, ANN was used frequently for PV applications 44,45 but there are limited initiatives taken for modeling of supercapacitors by Artificial Neural Network (ANN) 46‐48 …”

Section: Introductionmentioning

confidence: 99%

Electrochemical synthesis of MnO ₂ / NiO / ZnO trijunction coated stainless steel substrate as a supercapacitor electrode and cyclic voltammetry behavior modeling using artificial neural network

Alimi

Assaker

Możaryn

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

Considering the limit of resources and the frequent use of energy, energy storage is nowadays the subject that everyone cares about. In the present work, we investigate trijunction metal oxides as supercapacitor electrode for energy storage application. A MnO 2 /NiO/ZnO trijunction electrode is synthesized for the first time using a successive three electrochemical deposition steps onto stainless steel (SS) substrate. This approach can effectively yield a good distribution and adhesion of all metal oxides onto the substrate with enhanced hydrophilicity and wettability. The specific capacitance of this trijunction electrode, as studied by cyclic voltammetry was higher than that of individual metal oxide electrodes. The maximum specific capacitance was estimated to be 1569.75 g À1 at a scan rate of 5 mV s À1 . The enhanced electrochemical performance of this trijunction electrode compared to single metal oxide electrodes (MnO 2 , NiO, or ZnO) is mainly due to the improvement of ion and electron transportation pathways in the combination of three metal oxides electrode. In addition, this study presents an Artificial Neural Network (ANN) model to predict cyclic voltammetry behavior of the prepared trijunction supercapacitor electrode, with a high satisfactory performance for the predicted performance with <0.05% error. The low and simply synthesized hierarchical trijunction electrode with superior electrochemical performance and the good correlation between experimental and theoretical results prove huge potential for its practical application in supercapacitors (SCs).

show abstract

Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques

Cited by 171 publications

References 125 publications

Optimal Configuration of Fire-Storage Capacity Considering Dynamic Charge-Discharge Efficiency of Hybrid Energy Storage

Optimal Configuration of Fire-Storage Capacity Considering Dynamic Charge-Discharge Efficiency of Hybrid Energy Storage

A strong tracking adaptive fading‐extended Kalman filter for the state of charge estimation of lithium‐ion batteries

Electrochemical synthesis of MnO ₂ / NiO / ZnO trijunction coated stainless steel substrate as a supercapacitor electrode and cyclic voltammetry behavior modeling using artificial neural network

Contact Info

Product

Resources

About

Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques

Cited by 171 publications

References 125 publications

Optimal Configuration of Fire-Storage Capacity Considering Dynamic Charge-Discharge Efficiency of Hybrid Energy Storage

Optimal Configuration of Fire-Storage Capacity Considering Dynamic Charge-Discharge Efficiency of Hybrid Energy Storage

A strong tracking adaptive fading‐extended Kalman filter for the state of charge estimation of lithium‐ion batteries

Electrochemical synthesis of MnO 2 / NiO / ZnO trijunction coated stainless steel substrate as a supercapacitor electrode and cyclic voltammetry behavior modeling using artificial neural network

Contact Info

Product

Resources

About

Electrochemical synthesis of MnO ₂ / NiO / ZnO trijunction coated stainless steel substrate as a supercapacitor electrode and cyclic voltammetry behavior modeling using artificial neural network