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Article

On the Exact Analytical Formulas of Leakage Current-Based Supercapacitor Model Operating in Industrial Applications

1
Electrical Engineering Department, College of Engineering, Prince Sattam bin Abdulaziz University, Wadi Addawaser 11991, Saudi Arabia
2
Electrical Engineering Department, Aswan Faculty of Engineering, Aswan University, Aswan 81542, Egypt
3
Faculty of Electrical Engineering, University of Montenegro, 81000 Podgorica, Montenegro
4
Department of Electrical Engineering, Valley High Institute of Engineering and Technology, Science Valley Academy, Qalyubia 44971, Egypt
5
Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
*
Author to whom correspondence should be addressed.
Submission received: 7 January 2023 / Revised: 7 February 2023 / Accepted: 9 February 2023 / Published: 14 February 2023
(This article belongs to the Special Issue Electrical Power System Dynamics: Stability and Control)

Abstract

:
The resistance–capacitance (RC) model is one of the most applicable circuits for modeling the charging and discharging processes of supercapacitors (SCs). Although this circuit is usually used in the electric and thermal investigation of the performance of SCs, it does not include leakage currents. This paper presents exact analytical formulas of leakage-current-based supercapacitor models that can be used in industrial applications, i.e., constant-power-based applications. In the proposed model, current and voltage are represented as a solution of nonlinear equations that are solved using the standard Newton method. The proposed expressions’ accuracy is compared with the results obtained using traditional numerical integration methods with leakage current formulation and other methods, found in the literature, with no leakage current formulation. The results confirm that including leakage current represents a more accurate and realistic manner of modeling SCs. The results show that the derived expressions are precise, allowing the generation of results that closely match those obtained using traditional numerical-based methods. The derived expressions can be used to investigate SCs further and achieve more accurate and efficient regulation and control of SCs in different applications.

1. Introduction

Modern electricity systems cannot function without energy storage systems (ESSs). Furthermore, without ESSs, managing future power systems efficiently and profitably is challenging [1]. Utilizing ESSs also improves voltage conditions, reduces system losses, increases transmission line capacity, and has other similar effects [2]. In addition, ESSs are vital for power networks with a high penetration of renewable energy sources, since they help to smooth out the intermittent character of these sources [3]. In transportation, ESSs are also commonly employed in the auto industry, namely with electric vehicles. The value of ESSs is steadily increasing as electric vehicles become more prevalent [4,5].
There are numerous kinds of ESSs in general [6]. Mechanical systems are the oldest and, at the same time, most powerful systems. These include reversible power plant systems that employ water pools and in which the electric machine can function as both a generator (when power is delivered to the grid) and a motor to start the pump (when water is transferred from a lower-altitude basin to a higher-altitude basin) [7]. Compressed air systems are also included in this category [8]. The foregoing systems, however, share the common property of being territorially dependent. Aside from them, specific systems rely on chemical reactions to function. The most prominent of this group is batteries [9], which have numerous applications, particularly in electric vehicles [10]. The third category contains systems whose operation is governed by electrical engineering principles. This category includes supercapacitors (SCs) [11,12,13,14] and super magnetics (SMs) [15]. These storage systems are distinguished by high efficiency, outstanding response speed, low self-discharge currents, and the ability to be integrated into any portion of the power system. These are the primary reasons SMs and SCs are treated more frequently in published research. Moreover, for automotive applications and fuel cells, SCs may deliver a significant amount of power with a quick dynamic response [16].
Regarding SCs, the existing research contains a variety of modeling methodologies. Zhang et al. offered in [13] an overview of their models while focusing on the potential aspects of SC device modeling. Zhang et al. discussed the implementation of SCs from management and control standpoints, described electrical, thermal, and self-discharge processes in SCs, and mentioned other electrochemical, equivalent, intelligent, and fractional-order models. In addition, they highlighted the applications of SC devices. Unlike Zhang’s findings, Mussolini presented in [12] a full-frequency-range model capable of representing all SC-related events. In addition, the research proposed a method for determining the model parameters that can be utilized to characterize the SC before its application.
In contrast to the studies of Mussolini and Zhang, Grbovic [17] described SC devices using variable capacitance. The core concern of Grbovic’s work [17] was the analysis, modeling, and design of ultracapacitor modules and their interface with DC–DC power converters. In addition to highlighting the impacts of temperature on the model parameters, comprehensive and approximative models of replacement circuits were offered. In addition, the operating processes in the discharge and charging modes were discussed, along with the design challenge, the connection with converters, and specific application areas. These studies showed that the classic SC model, the resistance–capacitance (RC) model, which consists of capacitance and in-line resistance, can effectively represent the SC charging and discharging process [18,19,20].
The loss term that characterizes internal heating in the capacitor is resistance. The chief benefit of RC models is that their parameters are constant over the entire operating temperature range. It should be noted that the authors in [21] showed that increasing the temperature impacts resistance reduction and increases the capacitance of SC devices.
As explored in [22], due to the vast number of applications for SCs, it is essential to fully understand and accurately evaluate their electric performance in various conditions for accurate assessment and monitoring of their state, control/management when integrated into systems, and their aging prediction. The operation of SC devices at constant current, impedance, and power is presented in [22]. Mathematically, in the constant resistance discharge mode, the instantaneous power provided to the load is expressed using the gamma function in analytical form. In addition, the discharge voltage for a constant discharge current (Icc) is expressed using the gamma function. In constant power applications, however, the voltage was represented as a differential equation for which the authors provided a numerical predictor–corrector-based solution. The way these devices work electrically depends on several things, such as the chemistry and structure of the materials they are made of, how they store energy, how they are used (such as temperature, type, mode, and rate of charging/discharging waveforms), and how these different things interact with each other [22].
One of the most common ways to use these SCs in real life is in a mode called “constant power”. This is supported by the fact that many devices, such as lighting systems, data center power systems, cooling systems, and MPPT-regulated solar systems [23,24], work in constant power modes [11,12,13,25]. Using the Lambert W function, the authors of [26] explained how the SC device works and provided closed-form formulas for its electrical variables in a constant power application. Additionally, the authors of [27] explained how the special trans function theory (STFT) of Perovich could describe the analytical closed-form expression of current and voltage for both charging and discharging and temperature change [21]. The standard RC-based circuit model of SCs was used in both studies to investigate the changes in electric variables.
In contrast to the standard RC model, many research studies proposed using additional parallel resistance to characterize leakage currents (LCs) flowing in SCs. The charging current required to keep the SC voltage constant at a specified preset value is denoted by the LC. In manufacturers’ datasheets, LC is given as the value of charging current needed to keep the SC at rated voltage after it has been at rated voltage for 72 h at room temperature. Temperature, operational conditions, aging, and other factors alter LC over time [28].
In this direction, this work provides a mathematical analysis of the current and voltage of SCs in the time domain, including a model of leakage current represented by parallel resistance at constant power. Consequently, this research is a continuation of analytical modeling of SC circuits that takes into account real effects during charging and discharging. The proposed analytical expressions make it possible to directly calculate the SC voltage and all currents in the SC model involved in charge/discharge processes as a function of time. In mathematical terms, the current-time and voltage-time can be expressed as a solution to a specific nonlinear equation, which is what Newton’s method is used to solve. The effect of parallel resistance is investigated by comparing the current-time and voltage-time curves of equivalent circuits with and without parallel resistance. The proposed expressions’ accuracy is compared with the results obtained using traditional methods based on numerical integration. A comparative analysis of the results is also presented; this determined when the leakage current effect is ignored.
The Newton method, also known as the Newton—Raphson method, is a popular iterative method for solving nonlinear equations. Over the years, various variants of the Newton method have been developed to address challenges in solving nonlinear equations, such as handling singular or ill-conditioned Jacobian matrices, improving the convergence rate and global behavior, and incorporating additional information such as constraints or second-order information.
Recent developments of the Newton method include globalized Newton methods to enhance the global convergence behavior, such as using trust-region or line-search strategies; inexact Newton methods to relax the accuracy requirement of the Jacobian matrix calculation, which can be more efficient for large-scale problems; Newton–Krylov methods to combine the Newton method with Krylov subspace methods, which can be more effective for sparse problems or problems with high dimensions; and parallel Newton methods to distribute the computation and communication of the Newton method across multiple processors to speed up the computation. The Newton method has been applied in various scientific communities, such as engineering, physics, economics, and computer science. Some examples of its applications include optimization—solving nonlinear optimization problems, such as finding the minimum of a function [29], dynamics—solving nonlinear ordinary or partial differential equations, such as modeling the motion of mechanical systems or fluid flows, data analysis—solving nonlinear inverse problems, such as estimating the parameters from observed data, and machine learning—solving nonlinear equations from machine learning models, such as deep neural networks or support vector machines. The literature shows improved versions of the standard Newton method [30,31,32]. For further details, a comparison of Newton–Raphson solvers for power flow problems is provided in [32].
The main paper contributions of this work are summarized as follows:
  • In this paper, an accurate SC model is mathematically analyzed.
  • The analytical expressions for current and voltage change via time are derived in both the charging and discharging processes.
  • The comparison of results with and without the usage of parallel resistance in the SC model is investigated.
  • The mathematical expressions derived for current and voltage are accurate and do not require any other mathematical formulations.
The structure of this article is as follows: Section 2 provides essential information regarding the mathematical modeling of SCs without leakage current. Section 3 offers the SC model with parallel resistance for the leaking current formulation and proposes a mathematical equation for modeling current and voltage analytically. In Section 4, simulation and numerical findings are provided. Conclusions are presented in Section 5.

2. Classic RC Model of Supercapacitors

The classic RC-based model of SCs used in constant power applications consists of a series connection of resistance R and capacitance C. The resistance represents thermal losses in this circuit caused by the current flow. This circuit is illustrated in Figure 1 [26,27].
The power balance equation of the classic RC-based model of SCs is given as follows [26]:
P + R i 2 = u i
In Equation (1), u represents the voltage applied on the SC, while i represents the current flows in the circuit. The product ui represents the supercapacitor power, while Ri2 represents the losses in the SC. If the power is positive, i.e., P > 0, it is a discharging process; otherwise, if the power is negative, i.e., P < 0, it is a charging process.
The current and voltage relation of the SC circuit is expressed as follows:
d u d t = i C

2.1. Pedrayes et al. Methods

The first Pedrayes et al. method was presented in [33]. For this method, the current calculation during the charging and discharging processes of a SC is given as follows:
i = P C C 2 f U 0 2 P t
where
f U 0 = U 0 2 + U 0 U 0 2 4 R P 2 R P
where U0 is the initial value of voltage u.
The second Pedrayes et al. method was presented in [26], in which they presented expressions of electrical variables of SCs during charging and discharging processes in constant power applications using the Lambert W function for the first time in the literature. These expressions are given as follows:
u = R P g 1 + 1 g 1
i = P R g 1
where
g 1 = W 1 exp g 2 R P 2 R P
so that
g = h + 2 R P log 2 1 h = U 0 2 + U 0 U 0 2 4 R P 4 R P log U 0 U 0 2 4 R P 4 P t C
In Equation (7), the second branch of the Lambert W function, noted with W−1, has been used. Mathematically, the principal branch should be used if the SC charges (P < 0). Detailed explanations, as well as the derivation of the equations, are given in [26].

2.2. Calasan et al. Method

In [27], Calasan et al. proposed analytical expressions for the discharge and charge processes in SCs using two transcendental equations (x = β∙exp(x) and x = β∙exp(−x)) with positive arguments.
The discharge current and voltage are represented as follows:
i = P R ϒ
u = P R 1 + ϒ ϒ
where ϒ denotes the solution of the transcendental equation, which is given in the following form:
ϒ = β exp ϒ ,   β > 0
so that
β = 1 4 P R exp 1 U 0 2 + U 0 U 0 2 4 P R 4 P R log U 0 + U 0 2 4 P R 4 P t C 2 P R
During the charging process, the power P is negative and can be expressed as P1 = −P. Thus, the mathematical expressions for current and voltage are expressed as follows:
i = P 1 R Ψ
u = P 1 R Ψ 1 Ψ
where Ψ is the solution to the equation
Ψ = α exp Ψ ,   α > 0
so that
α = 1 4 P 1 R exp 1 + U 0 2 + U 0 U 0 2 + 4 P 1 R + 4 P 1 R log U 0 + U 0 2 + 4 P 1 R + 4 P 1 t C 2 P 1 R
For all methods, the active power losses can be calculated as follows:
P l o s s = R i 2
To summarize, both transcendental equations were solved analytically using the STFT [34]. The number of potential solutions of these equations was discussed, and their usage was also described. The reader can refer to [27,35] for more details about these equations and other problem-solving methods.

3. RC Model of Supercapacitors with Leakage Current: Description and Formulation Proposed

The model of a SC with leakage current represented via shunt resistance Rb is illustrated in Figure 2. This circuit was proposed in [28]. Unlike the classic SC model, this circuit comprised an additional shunt resistance Rb to formulate the leakage current. The simple method for calculating the shunt resistance value was presented, in which Rb defines the property of the SC to discharge even if it was not connected to a load.
The power balance equation of this model is expressed as follows:
P + R i u R b 2 + u 2 R b = u i
For a theoretically large value of Rb, Rb→∞, this equation will be the same as Equation (1).

3.1. Discharge Process

In the discharge process, P > 0. In this case, Equation (18) can be rewritten in the following manner:
C d u d t = u 2 R u R b + u 2 4 R P 2 R
The solution to this equation is derived as follows:
t = t 0 C R R b 1 2 R + R b + 1 2 R log R + R b u u 2 4 R P 2 + 4 R 2 P 1 R log u u 2 4 R P
where
t 0 = C R R b 1 2 R + R b + 1 2 R log R + R b U 0 U 0 2 4 R P 2 + 4 R 2 P 1 R log U 0 U 0 2 4 R P
Therefore, Equation (20) represents the function t = f(u). In order to define the relation between voltage and time, i.e., function u = f(t), one can derive the following:
Λ = χ Λ δ + 1 , δ > 1
where
δ = 2 R + R b R + R b , χ = R + R b 4 R 2 P R R + R b e 2 t t 0 C R b .
Based on Equation (22), the voltage- and current-versus-time relation has the following expressions:
u = 4 R 2 P Λ 2 R + R b R + R b e 2 t t 0 C R b + 4 R P 2 4 R 2 P Λ 2 R + R b 2 R + R b e t t 0 C R b
i = 1 2 R + 1 R b 4 R 2 P Λ 2 R + R b R + R b e 2 t t 0 C R b + 4 R P 2 4 R 2 P Λ 2 R + R b 2 R + R b e t t 0 C R b + 1 2 R 4 R 2 P Λ 2 R + R b R + R b e 2 t t 0 C R b + 4 R P 2 4 R 2 P Λ 2 R + R b 2 R + R b e t t 0 C R b 2 4 R P
Finally, the leakage current has the following expression:
i b = 4 R 2 P Λ 2 R + R b R + R b e 2 t t 0 C R b + 4 R P 2 R b 4 R 2 P Λ 2 R + R b 2 R + R b e t t 0 C R b
As seen, the expression for leakage current is, in a mathematical sense, equal to the expression for voltage. The only difference between these expressions is that the leakage current is u/Rb.
Finally, it is apparent that Equation (22) represents a nonlinear equation; one can use some iterative techniques, such as the Newton method, to solve it [30,31,32].

3.2. Charge Process

For charge process P < 0, one can assume P1 = −P. In this case, the function t = f(u) has the following form:
t = C R R b 1 R log u 2 + 4 R P 1 u 1 2 R + R b + 1 2 R log R + R b u 2 + 4 R P 1 u 2 4 R 2 P 1 t 0
where
t 0 = C R R b 1 R log u 0 2 + 4 R P 1 u 0 1 2 R + R b + 1 2 R log R + R b u 0 2 + 4 R P 1 u 0 2 4 R 2 P 1
In order to define the relationship between voltage and time, i.e., function u = f(t), the previous equation can be rewritten in the following form:
Χ = ξ Χ δ + 1
so that;
ξ = R + R b 4 R 2 P 1 R R + R b e 2 t + t 0 C R b
Based on this equation, the voltage- and current-versus-time relationship has the following expressions:
u = 4 R 2 P 1 Χ 2 R + R b R + R b e 2 t + t 0 C R b 4 R P 1 2 4 R 2 P 1 Χ 2 R + R b 2 R + R b e t + t 0 C R b
i = 1 2 R + 1 R b 4 R 2 P 1 Χ 2 R + R b R + R b e 2 t + t 0 C R b 4 R P 1 2 4 R 2 P 1 Χ 2 R + R b 2 R + R b e t + t 0 C R b + 1 2 R 4 R 2 P 1 Χ 2 R + R b R + R b e 2 t + t 0 C R b 4 R P 1 2 4 R 2 P 1 Χ 2 R + R b 2 R + R b e t + t 0 C R b 2 + 4 R P 1
Also, the leakage current has the following expression:
i b = 4 R 2 P 1 Χ 2 R + R b R + R b e 2 t + t 0 C R b 4 R P 1 2 R b 4 R 2 P 1 Χ 2 R + R b 2 R + R b e t + t 0 C R b
The active power losses (Ploss) can be calculated for both charge and discharge processes as follows:
P l o s s = R i 2 + R b i b 2
To summarize, expressions for calculating the current, voltage, power losses, and leakage current of the RC model of SCs with leakage current are derived.

4. Numerical Results Obtained and Their Discussion

4.1. Numerical Results Obtained

To test the accuracy of the derived expressions in the calculation of current and voltage as a function of the time of SCs when the effect of leakage currents is taken into account, the SC, whose basic parameters are presented in Table 1, is investigated in this study. These SC data have also been used in previous research [26,27]. However, the effect of the leakage current was not considered.
Table 2 explores the results of calculating the current, voltage, and other values during discharging of the SC at small parallel resistance, Rb = 10 Ω and δ = 1.000057996636195 using P = 50 W, C = 1200 F, and R = 0.58 mΩ. In this case, we observed specific time values with a time step of 0.5 s to show the numerical value of all variables (voltage, current, leakage current). Likewise, Table 3 explores the results obtained at considerable parallel resistance, Rb = 1000 Ω and δ = 1.00000579999664. Analog results in the SC charging process are presented in Table 4 and Table 5, respectively.
Additionally, the impacts of the parallel resistance value on the current, voltage, and leakage current are visualized in Figure 3 for different parallel resistance values, in which the results determined using the expressions proposed in this study are compared with corresponding ones determined using numerical integration, with integration step size 10−5. For such comparison, the following set of differential equations was used:
d u d t = u 2 R C u R b C + u 2 4 R P 2 R C , i = C u , i b = u R b .
One can draw several conclusions based on the results in Table 2, Table 3, Table 4 and Table 5. Namely, the values of the δ coefficient are close to 1. The coefficient values χ in the discharging process (or coefficient ξ in the charging process) are very close and only differ by some decimals; however, this difference greatly affects the value of Λ in the discharging process (or the value of X in the charging process). Accordingly, even a small change in χ or ξ values could dramatically impact the voltage and current values of SCs.
It can be seen from the presented results that higher values of parallel resistance result in a lower value of self-discharge current. Three resistance values are shown on these graphs, and small values of parallel resistance (0.5, 3, and 100 ohms) are considered, to show their effects on current and voltage values. During the discharge process, the SC voltage increases, while the current decreases, with higher parallel resistance values. The opposite situation will occur during the charging of the SC.
Furthermore, a comparison of the current-time and voltage-time characteristics obtained by applying the derived expressions with the corresponding characteristics obtained by ignoring the effect of the parallel resistance (i.e., considering Rb →∞) is shown in Figure 4. In this case, it is assumed that the value of parallel resistance is minimal, to provide a much more apparent impact on the characteristics. The characteristics obtained by applying the expressions t = f(u) and u = f(t) are also shown for voltage-time characteristics.
Based on the presented results, for both modes of operation, it is clear that the derived expressions t = f(u), u = f(t), as well as i = f(t), are accurate and precise. Characteristics obtained at the neglected value of parallel resistance were determined using the Calasan et al. method [27]. The corresponding characteristics obtained numerically are determined by solving the following system of equations:
d u d t = u 2 R C + u 2 4 R P 2 R C i = C u
In order to check the influence of the initial conditions on the speed of convergence of the Newton method, the calculation results were repeated for five different initial condition values (–100, –10, 0, 10, and 100). Moreover, the convergence rate was tested for three different values of the convergence criteria: 10−5, 10−7, and 10−10. The criterion is defined as the absolute value of the difference between two neighboring variable values Λ during the iterative process. This test was done for the case of the results shown in Table 2 (SC discharge, discharge power is 50 W, parallel resistance is 10 Ω). Figure 5 shows the influence of the initial conditions on the speed of convergence of the Newton method and the number of iterations in the problem solved.
Based on the obtained results, it can be observed that the Newton method converges very quickly for a different starting value of the variable Λ . Moreover, the convergence criterion has little impact on the convergence speed.
Seeking additional validation, the impact of the parallel resistance Rb value on the voltage-time and current-time characteristics is also analyzed using a 3D graph presented in Figure 6 and Figure 7 for small and large values of Rb, respectively, during the charging process. These figures illustrate the differences in voltages and currents calculated using the full expression derived in this paper and the Calasan et al. method [27] with infinite parallel resistance value.
From Figure 7, it is clear that for the small value of the parallel resistance, there is an evident difference between current and voltage calculations when comparing the entire model and the simple model (parallel resistance ignored), and it rises for the smaller values of the parallel resistance Rb.
From Figure 7, it is clear that the mentioned difference exists, but it is very small and tends to zero for large values of parallel resistance. To sum up, considerable parallel resistance values result in a much more negligible difference between characteristics determined with and without parallel resistance. However, these differences are much more prominent for both current and voltage for smaller Rb values (Figure 6).

4.2. Parametric Variations

4.2.1. Power Variation

Figure 8 illustrates how power affects the voltage-time, current-time, and leakage-current-time characteristics in the discharging mode. A higher power value indicates a quicker drop in voltage and leakage current when a larger current is present.

4.2.2. Capacitance Variation

The impact of capacitance on voltage-time, current-time, and leakage current-time characteristics in the charging mode of the SC is shown in Figure 9. A higher capacitance value defines a slower voltage and leakage-current-value growth and slower current decrease.

4.2.3. Effect of Successive Changes in the Charging and Discharging Power

Finally, the impact of consecutive modifications to the SC’s charging and discharging power on voltage-time, current-time, and leakage-current-time characteristics were examined. The corresponding graphs are shown in Figure 10. In order to clearly observe the effect of the parallel resistance, it was set to a small value (Rb = 1 ohm).
Based on the findings, it is evident that the voltage differences between those obtained by using the derived expression and those obtained by using the expression given in the literature by Calasan et al. [27]—which ignores the effects of parallel resistance and self-discharge current—increase over time. The SC voltage decreases for a positive power value when the current increases. Moreover, the opposite is valid for negative power values. A larger positive/negative power value results in larger voltage and current changes.

5. Conclusions

This study provides accurate analytical formulas for leakage-current-based SC models used in industrial applications, i.e., applications based on constant power and incorporating leakage currents of SCs. The suggested model expresses current and voltage as nonlinear equations solved using Newton’s method. The accuracy of the suggested expressions is compared to the results generated with traditional techniques based on numerical integration. It also includes a comparison of the results derived when the effect of the leakage current is disregarded. The outcomes demonstrate that using leakage current in SC modeling provides a more accurate and realistic approach. The derived formulas for the representation of voltage, current, and leakage current of SCs as a function of time permit perfect agreement with the corresponding findings obtained by applying numerical integration as inferred based on all the results that have been provided. As a result, the terms that were derived can be used to describe how SCs are charged and discharged, to analyze the operating mode, to look at the effects of specific parameters on current and voltage, to test their use in regulated systems, or to test protection against excessive currents or voltage. Additionally, the fields of application of the solution methodology proposed are flexible.
In future work, attention will be paid to implementing the proposed model in a whole system with all components, such as in renewable power generation and control system. Furthermore, attention will be paid to the analytical solution of the proposed nonlinear equation to improve existing research based on the Newton method while considering global convergence strategies to enhance the convergence robustness.

Author Contributions

Conceptualization Z.M.A. and M.C.; methodology, M.C.; software, M.C., S.H.E.A.A., and H.M.H.; validation, H.M.H.; formal analysis, Z.M.A. and H.M.H.; investigation, M.C.; resources, M.C.; writing—original draft preparation, M.C. and S.H.E.A.A.; writing—review and editing, Z.M.A., M.C., and S.H.E.A.A.; visualization, Z.M.A. and M.C. All authors have read and agreed to the published version of the manuscript.

Funding

The authors extend their appreciation to the Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia, for funding the research work through project number (IF2/PSAU/2022/01/21533).

Data Availability Statement

Not applicable.

Acknowledgments

The authors extend their appreciation to the Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia, for their technical support and funding the research work through project number (IF2/PSAU/2022/01/21533).

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ESSsEnergy storage systems
LCsLeakage currents
MPPTMaximum power point tracking
RCResistance–capacitance model of supercapacitors
SCsSupercapacitor
SMsSuper magnetics
STFTSpecial trans function theory
CCapicatance in farads
g, g1, hVariables in the Pedrayes et al. method
IccConstant discharge current
iSC current
ibSC leakage current
PDischarge power
P1Charge power
RbSC shunt resistance
RSC series resistance
tTime
t0Initial time value
U0Initial SC voltage
uSC voltage
Ψ ,   α ,   ϒ ,   β Variables in the Calasan et al. method
WSolution of Lambert equation
Λ , χ , δ , Χ , ξ Variables

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Figure 1. Discharging of a SC at constant power P.
Figure 1. Discharging of a SC at constant power P.
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Figure 2. Discharging of a SC at constant power P, considering the leakage current.
Figure 2. Discharging of a SC at constant power P, considering the leakage current.
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Figure 3. Charging and discharging characteristics of a SC at constant power using different parallel resistance values: (a) voltage versus time; (b) current versus time; (c) leakage current versus time.
Figure 3. Charging and discharging characteristics of a SC at constant power using different parallel resistance values: (a) voltage versus time; (b) current versus time; (c) leakage current versus time.
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Figure 4. Characteristics of the SC at constant power determined using different methods during both charging and discharging processes (Rb = 1 Ω, P = 50 W, and C = 1200 F, and R = 0.58 mΩ): (a) voltage versus time; (b) current versus time.
Figure 4. Characteristics of the SC at constant power determined using different methods during both charging and discharging processes (Rb = 1 Ω, P = 50 W, and C = 1200 F, and R = 0.58 mΩ): (a) voltage versus time; (b) current versus time.
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Figure 5. Influence of the initial conditions on the speed of convergence of the Newton method and the number of iterations in the problem solved.
Figure 5. Influence of the initial conditions on the speed of convergence of the Newton method and the number of iterations in the problem solved.
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Figure 6. Differences in values of (a) voltages, and (b) currents, calculated using full expression derived in this study for small values of Rb and the Calasan et al. method in [27], with infinite parallel resistance value, considering P = 50 W, and R = 0.58 mΩ.
Figure 6. Differences in values of (a) voltages, and (b) currents, calculated using full expression derived in this study for small values of Rb and the Calasan et al. method in [27], with infinite parallel resistance value, considering P = 50 W, and R = 0.58 mΩ.
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Figure 7. Differences in values of (a) voltages, and (b) currents, calculated using full expression derived in this study for large values of Rb and the Calasan et al. method in [27], with infinite parallel resistance value, considering P = 50 W, and R = 0.58 mΩ.
Figure 7. Differences in values of (a) voltages, and (b) currents, calculated using full expression derived in this study for large values of Rb and the Calasan et al. method in [27], with infinite parallel resistance value, considering P = 50 W, and R = 0.58 mΩ.
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Figure 8. Discharging mode characteristics at different power values: (a) voltage versus time; (b) current versus time; (c) leakage current versus time; C = 1200 F, Rb = 1000 Ω, and R = 0.58 mΩ.
Figure 8. Discharging mode characteristics at different power values: (a) voltage versus time; (b) current versus time; (c) leakage current versus time; C = 1200 F, Rb = 1000 Ω, and R = 0.58 mΩ.
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Figure 9. Charging mode characteristics at different capacitance values: (a) voltage versus time; (b) current versus time; (c) leakage current versus time; P = 50 W, Rb = 1000 Ω, and R = 0.58 mΩ.
Figure 9. Charging mode characteristics at different capacitance values: (a) voltage versus time; (b) current versus time; (c) leakage current versus time; P = 50 W, Rb = 1000 Ω, and R = 0.58 mΩ.
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Figure 10. Results obtained by using the derived expressions and those obtained by using the expressions presented in [27]: (a) successive power changes versus time; (b) voltage versus time; (c) current versus time; (d) difference between voltage calculated using the methods investigated; C = 1200 F, Rb = 1 Ω, and R = 0.58 mΩ.
Figure 10. Results obtained by using the derived expressions and those obtained by using the expressions presented in [27]: (a) successive power changes versus time; (b) voltage versus time; (c) current versus time; (d) difference between voltage calculated using the methods investigated; C = 1200 F, Rb = 1 Ω, and R = 0.58 mΩ.
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Table 1. Data of the SC investigated in this study.
Table 1. Data of the SC investigated in this study.
Parameter Value
U0 (V)2.7
C (kF)1.2
R (mΩ)0.58
Table 2. Numerical results calculated in SC discharging, Rb = 10 Ω.
Table 2. Numerical results calculated in SC discharging, Rb = 10 Ω.
t (s) χ Λ u (V)i (A)ib (A)
0.00.98550029382455470.14232.700018.86280.2700
0.50.98558242227101070.55052.692118.91680.2692
1.00.98566455756178970.96342.684218.97130.2684
1.50.98574669969746171.38132.676319.02630.2676
2.00.98582884867859571.80422.668419.08170.2668
2.50.98591100450576472.23222.660419.13770.2660
3.00.98599316717953772.66532.652419.19420.2652
3.50.98607533670048473.10382.644419.25120.2644
4.00.98615751306917773.54762.636419.30880.2636
4.50.98623969628618673.99682.628319.36680.2628
5.00.98632188635208274.45172.620319.42550.2620
5.50.98640408326743574.91222.612119.48460.2612
6.00.98648628703281675.37852.604019.54440.2604
6.50.98656849764879775.85072.595919.60470.2596
7.00.98665071511594876.32892.587719.66550.2588
7.50.98673293943484076.81332.579519.72700.2579
8.00.98681517060604577.30382.571219.78910.2571
8.50.98689740863013177.80082.563019.85170.2563
9.00.98697965350767378.30422.554719.91500.2555
9.50.98706190523923978.81422.546419.97900.2546
10.00.98714416382540379.33102.538020.04350.2538
Table 3. Numerical results calculated in SC discharging, Rb = 1000 Ω.
Table 3. Numerical results calculated in SC discharging, Rb = 1000 Ω.
t (s) χ Λ ·1000 u (V)i (A)ib (A)
0.00.9998502560585366.91482.7000 18.59550.002700000000001
0.50.9998510892674316.95512.6922 18.6495 0.002692240647929
1.00.9998519224770206.99582.6845 18.7040 0.002684458692096
1.50.9998527556873027.0370 2.6767 18.75890.002676653933216
2.00.9998535888982797.0786 2.6688 18.8144 0.002668826169019
2.50.9998544221099497.12082.6610 18.8704 0.002660975194265
3.00.9998552553223157.16352.653118.92680.002653100800589
3.50.9998560885353757.2067 2.6452 18.9838 0.002645202776528
4.00.9998569217491307.25042.6373 19.0413 0.002637280907384
4.50.9998577549635797.2947 2.6293 19.0993 0.002629334975200
5.00.9998585881787227.3395 2.6214 19.1578 0.002621364758679
5.50.9998594213945597.3848 2.6134 19.21690.002613370033081
6.00.9998602546110907.4307 2.6054 19.27660.002605350570184
6.50.9998610878283177.47722.597319.33680.002597306138192
7.00.9998619210462377.5243 2.5892 19.39760.002589236501677
7.50.9998627542648527.5720 2.5811 19.45890.002581141421454
8.00.9998635874841607.6203 2.5730 19.52090.002573020654567
8.50.9998644207041647.6692 2.5649 19.58340.002564873954097
9.00.9998652539248627.7187 2.5567 19.64650.002556701069188
9.50.9998660871462547.7689 2.5485 19.71030.002548501744906
10.00.9998669203683417.81982.540319.77470.002540275722114
Table 4. Numerical results calculated in SC charging, Rb = 10 Ω.
Table 4. Numerical results calculated in SC charging, Rb = 10 Ω.
t (s) ξ Xu (V)i (A)ib (A)
0.01.014666570664325 67.0507 2.7000 18.1754 0.2700
0.51.014751129735126 66.6741 2.7076 18.1236 0.2708
1.01.01483569585281066.3016 2.7151 18.0721 0.2715
1.51.014920269017964 65.9333 2.7226 18.0211 0.2723
2.01.015004849231176 65.5689 2.7301 17.9705 0.2730
2.51.01508943649303265.2086 2.7376 17.9203 0.2738
3.01.015174030804120 64.85212.745117.87050.2745
3.51.015258632165028 64.4995 2.7525 17.8211 0.2752
4.01.01534324057634464.1506 2.7599 17.7721 0.2760
4.51.015427856038654 63.8055 2.7673 17.7235 0.2767
5.01.015512478552546 63.4640 2.7747 17.6753 0.2775
5.51.01559710811860863.1262 2.7820 17.6274 0.2782
6.01.015681744737428 62.7918 2.7894 17.5800 0.2789
6.51.015766388409594 62.46102.796717.53290.2797
7.01.01585103913569262.1336 2.8040 17.4861 0.2804
7.51.015935696916312 61.8096 2.8113 17.4398 0.2811
8.01.016020361752041 61.4889 2.8185 17.3937 0.2819
8.51.01610503364346761.1715 2.8257 17.3481 0.2826
9.01.016189712591178 60.8573 2.8330 17.3027 0.2833
9.51.016274398595761 60.5463 2.8402 17.2578 0.2840
10.01.01635909165780760.23842.847317.21310.2847
Table 5. Numerical results calculated in SC charging, Rb = 1000 Ω.
Table 5. Numerical results calculated in SC charging, Rb = 1000 Ω.
t (s) ξ X∙1000u (V)i (A)ib (A)
0.01.000141859861932 6.8037 2.7000 18.4427 0.002700000000007
0.51.000142693313829 6.7655 2.7077 18.3909 0.002707673649208
1.01.0001435267664216.7277 2.7153 18.3394 0.002715325775111
1.51.000144360219706 6.6903 2.7230 18.2884 0.002722956557277
2.01.000145193673687 6.6534 2.7306 18.2378 0.002730566172834
2.51.0001460271283626.6168 2.7382 18.1876 0.002738154796433
3.01.000146860583733 6.58072.745718.13790.002745722600371
3.51.000147694039798 6.5449 2.7533 18.0885 0.002753269754584
4.01.0001485274965556.5095 2.7608 18.0396 0.002760796426700
4.51.000149360954010 6.4745 2.7683 17.9910 0.002768302782151
5.01.000150194412157 6.4399 2.7758 17.9428 0.002775788984090
5.51.0001510278710006.4056 2.7833 17.8950 0.002783255193553
6.01.000151861330537 6.3718 2.7907 17.8476 0.002790701569405
6.51.000152694790770 6.33822.798117.80060.002798128268451
7.01.0001535282516956.3050 2.8055 17.7539 0.002805535445412
7.51.000154361713316 6.2722 2.8129 17.7076 0.002812923253052
8.01.000155195175632 6.2397 2.8203 17.6617 0.002820291842097
8.51.0001560286386426.2075 2.8276 17.6161 0.002827641361340
9.01.000156862102347 6.1757 2.8350 17.5708 0.002834971957704
9.51.000157695566744 6.1442 2.8423 17.5259 0.002842283776184
10.01.0001585290318396.11302.849617.48140.002849576959995
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Ali, Z.M.; Calasan, M.; Aleem, S.H.E.A.; Hasanien, H.M. On the Exact Analytical Formulas of Leakage Current-Based Supercapacitor Model Operating in Industrial Applications. Energies 2023, 16, 1903. https://0-doi-org.brum.beds.ac.uk/10.3390/en16041903

AMA Style

Ali ZM, Calasan M, Aleem SHEA, Hasanien HM. On the Exact Analytical Formulas of Leakage Current-Based Supercapacitor Model Operating in Industrial Applications. Energies. 2023; 16(4):1903. https://0-doi-org.brum.beds.ac.uk/10.3390/en16041903

Chicago/Turabian Style

Ali, Ziad M., Martin Calasan, Shady H. E. Abdel Aleem, and Hany M. Hasanien. 2023. "On the Exact Analytical Formulas of Leakage Current-Based Supercapacitor Model Operating in Industrial Applications" Energies 16, no. 4: 1903. https://0-doi-org.brum.beds.ac.uk/10.3390/en16041903

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