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Designs 2023, 7, 52. https://doi.org/10.3390/designs7020052 www.mdpi.com/journal/designs
Article
Hybrid Control and Energy Management of a Residential
System Integrating Vehicle-to-Home Technology
Khadija El Harouri 1, Soumia El Hani 1,*, Nisrine Naseri 1, Elhoussin Elbouchikhi 2,*, Mohamed Benbouzid 3,4
and Sondes Skander-Mustapha 5
1 Department of Electrical Engineering, Energy Optimization Diagnosis and Control, STIS Research Center,
ENSAM, Mohammed V University in Rabat, Rabat 10100, Morocco
2 ISEN Yncréa Ouest, Nantes Campus, LABISEN, 33, Avenue du Champ de Manoeuvre, 44470 Carquefou,
France
3 Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, 29238 Brest, France
4 Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China
5 Laboratory of Electrical Systems, Ecole Nationale d’Ingénieurs de Tunis, LR11ES15, University of Tunis El
Manar, Tunis 1002, Tunisia
* Correspondence: s.elhani@um5r.ac.ma (S.E.H.); elhoussin.elbouchikhi@isen-ouest.yncrea.fr (E.E.)
Abstract: Electric vehicles (EV) and photovoltaic (PV) systems are increasingly becoming
environmentally friendly and more affordable solutions for consumers. This article discusses the
integration of PV and EV in a residential system to meet the requirements of residential loads taking
into account the PV supplied power, availability and the state of charge (SOC) of EVs. A hybrid
control model has been proposed to control the residential system. The combined PI-Fuzzy logic
controller is employed to control the buck-boost bi-directional converter. The DC-AC grid-side
converter is controlled by the ADRC controller. The effectiveness of PI-Fuzzy logic controller in
reducing voltage and current ripples and ADRC controller in rejecting disturbances is demonstrated
in each case. A rule-based energy management strategy has been proposed to control the flow of
energy between the components of the residential system. The suggested energy management
system (EMS) covers every scenario that might occur. Whether the EV is linked to the home or not,
and also takes into account the owner using the EV in an emergency situation. The EV operates in
two modes, Home-to-Vehicle (H2V) mode and Vehicle-to-Home (V2H) mode, depending on the
power produced by the PV and the conditions related to the EV. All possible scenarios are tested
and validated. The simulation results show that the proposed EMS is a reliable solution that can
reduce the power grid intervention.
Keywords: Vehicle-to-Home; Home-to-Vehicle; energy management systems; residential system;
rule-based algorithm; PI-Fuzzy logic control; ADRC control
1. Introduction
Since its appearance, the automobile has become more and more a main necessity for
human beings, which allows them to make life easier and minimize travel time. However,
in recent years the automobile sector has posed certain problems, such as gas emissions,
the greenhouse effect, dependence on oil, which continues to become scarce, etc. These
circumstances impose an orientation towards new technologies to overcome these
problems [1]. In the upcoming years, electric vehicles (EVs) powered by renewable
energies, can play a significant role in the transition to sustainable modes of
transportation, reduce CO2 emissions, and improve local air quality. Currently, the rate of
EV development is exponentially increasing, more than 16.5 million electric automobiles
were in circulation in 2021, a tripling in only three years as shown in Figure 1 [2]. The
main forces behind the recent global growth of EVs are the tightening of CO2 emission
Citation: El Harouri, K.; El Hani, S.;
Naseri, N.; Elbouchikhi, E.;
Benbouzid, M.; Skander-Mustapha, S.
Hybrid Control and Energy
Management of a Residential System
Integrating Vehicle-to-Home
Technology. Designs 2023, 7, 52.
hps://doi.org/10.3390/
designs7020052
Academic Editor: Joshua M. Pearce
Received: 10 February 2023
Revised: 13 March 2023
Accepted: 21 March 2023
Published: 4 April 2023
Copyright: © 2023 by the authors.
Licensee MDPI, Basel, Swierland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Aribution (CC BY) license
(hps://creativecommons.org/license
s/by/4.0/).
Designs 2023, 7, 52 2 of 16
limits that took place in 2020 and 2021, as well as the increase in the price of fuel. The pace
of sales was also aided by the increase in tax breaks and the increase in purchase subsidies
[2].
The rapid development of EVs has led to a sharp increase in the demand for electricity
from these electric vehicles, which has led to thinking about a set of solutions to remedy
this increase in energy demand. Several research directions are addressed on this topic,
such as the integration of EV in micro-grids [3,4], the Vehicle-to-Grid (V2G) and Vehicle-
to-Vehicle (V2V) concepts [5–9], charging management of EVs in parking lots [10,11], the
impact of EV on the grid [12,13], the charging infrastructure [14], baery degradation [15]
and the charging economics concept [16]. The integration of EVs in residential systems is
an important aspect of addressing the problem of high energy demand, with the optimal
integration of renewable energy systems (RES) and energy storage systems (ESS). This
integration makes it possible to exploit the maximum power of renewable energy sources,
as well as to use the EV as a temporary storage system in the house and as a source of
energy production in order to decrease the budget of EV operation and home
consumption, and to relieve the public electricity grid.
Figure 1. Evolution of global EV.
Most EVs are used for a short time around 5% of the day, and for the rest of the day
around 95% of the remaining time [17], EVs are parked in workplace parking lots or at
home. Thus, we can benefit from them during those times when they are parked. The EV
can use its baery to store energy from renewable energy sources or to help storage
systems to store that energy; in this case, the vehicle is used as a storage system. During
low energy production, the EV can intervene to help meet the requirements of home loads
by sending the missing energy, this is the Vehicle-to-Home (V2H) concept. During on-
peak periods when the price of electricity from the public grid is particularly high, the EV
can be used as a source of energy, and it has the ability to sell the energy stored in its
baery to the electrical grid; this is the V2G concept. To manage these operating modes,
plan the charging of the EV and manage the energy exchange in the residential system
between the sources and the loads, the EMS make it possible to meet these requirements.
Charging is said to be “normal” when the car charges to full capacity as soon as it is
connected to the grid. The EMS makes it possible to modify this “normal” behavior, with
the use of different operating modes such as V2H, and V2G to minimize the cost of the
owner’s electricity bill while meeting his personal constraints in terms of the EV’s
availability and autonomy.
This work presents a residential system connected to the electrical grid. It consists of
PV as the primary source, a baery system for energy storage, an EV, and residential
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
16.0
18.0
2013 2014 2015 2016 2017 2018 2019 2020 2021
numbre of eletric vehicule
stock (million)
Designs 2023, 7, 52 3 of 16
loads. A hybrid control has been suggested in this article to control system components.
The charge and discharge of the EV are managed by the combined PI-Fuzzy logic control,
which combines the advantages of both conventional PI controls and fuzzy logic. The
injection and the use of the grid are controlled by the Active Disturbance Rejection Control
(ADRC). The energy management in this residential system is carried out using the rule-
based method. The electrical grid is used as a backup source, and the PV is the main source
that must be exploited to the maximum. In the case when the energy generated through
the PV system reached its maximum, it provides the power to the residential loads and
charges the baeries and the electrical vehicle baery, and the excess PV power is fed to
the grid. Additionally, when the PV system’s power output is low, the baery and the EV
are used to supply residential loads. The grid maintains the shortage when the power of
the components of the system is insufficient to meet the loads. Several scenarios are
studied in this work, taking into account certain conditions such as energy generated
through the PV generator, the demand for residential loads, the availability of the EV, EV
SOC.
The main contributions of this paper include:
A hybrid control system that includes PI-Fuzzy logic, and ADRC.
A combined PI-Fuzzy logic control, which combines the benefits of a classical PI
controller and a fuzzy logic controller.
An energy management system that addresses all possible scenarios, considering the
emergency use of the EV by the owner.
The use of the V2H concept to relieve the electricity grid.
The outline of this article is as follows: Section 2 displays a description of the
residential system. The presentation of the proposed control laws and the energy
management system are provided in Section 3. Section 4 shows the simulation results and
a discussion of the main scenarios and operation modes. Finally, Section 5 provides
conclusions.
Motivation and Novelty
This paper proposes a hybrid control model and energy management strategy that
examines possible scenarios, for energy exchange in a residential system including PV
system, EV, and energy storage system, residential loads and electricity grid. The
proposed EMS makes it possible to exploit the maximum power of PV system. It is
primarily used as the main source, and the grid as a backup source. Furthermore, the V2H
and H2V concepts have been taken into account. Compared with the existed articles, this
paper combines and provides a complete description of all possible operational scenarios
with or without an EV connection, to relieve the power grid, considering the emergency
use of the EV by the owner.
2. System Description
The proposed residential system consists of a PV system with baery storage system,
EV, residential loads, and utility grid as shown by Figure 2. The PV system is considered
as the main source of energy, the baery system acts as a method for momentary storage.
Whereas the EV is used as a load in the context of the H2V concept, or energy source
distributed as part of the possibility of income from V2H. Finally, the main grid is used as
a backup source.
At this home, the energy control system that is in charge of managing the energy flow
in the home communicates with the various elements that compose our residential system,
the load and all energy sources. This is in order to know at any time the state of each
element and information on the energy produced by the PV system, the energy
consumption, the availability of the EV, etc.
Figure 2 presents the configuration of the residential system model proposed in this
work. The PV system is connected to the DC bus using the Boost converter, that achieves
Designs 2023, 7, 52 4 of 16
the MPPT control. Additionally, the EV is coupled to the DC bus by the bi-directional
Buck-Boost converter, which carries out the charging and discharging control of the EV.
In H2V mode, the EV operates in charging mode (EV used as consumer). In V2H mode,
the EV operates in discharging mode (EV used as power source). Likewise, the storage
baery is coupled to the DC Bus by the Buck-Boost converter, which performs the charge
and discharge control of the baery. On the other side, the electrical grid is coupled to the
DC Bus using the bi-directional DC-AC converter. This converter can be operated as an
inverter, in the case of energy fed to the power grid. Or as a rectifier to supply the load, in
order to meet residential load requirements. Similarly, the residential loads are coupled
to the DC bus by the DC-AC converter.
Figure 2. The configuration of the proposed system.
Residantial System Parameters
In this house, all the components composing this residential system namely the PV
system, EV, baery storage, electrical grid and the residential loads are connected to the
DC bus, which is set to 900 V.
The model of the PV system used can generate a maximum power of 63 kW at 25 °C
and 1000 W/m2. The EV used is of the Renault ZOE type with a baery capacity of 22 kWh
[18], the storage baery is of 50 Ah capacity [19], as well as a residential load of 26 kW and
a nominal voltage electrical grid of 220/380 V, 50 Hz are considered in this work. Table 1
displays the characteristics of these components.
Designs 2023, 7, 52 5 of 16
Table 1. Residential system component parameters.
PV System EV Baery Storage Residential
Load
Module: SunPower SPR-305-
WHT
Type: 305 W @ 1000 W/m², 25 °C
Number of series per string: 5
Number of parallels per string: 40
Maximum Power: 63 kW
Vehicle name: Renault
ZOE
Battery capacity: 22 kWh
Rated voltage: 400 V
Capacity: 50 Ah
Single module voltage: 12 V
Number of series connected modules:
34
Rated voltage: 400 V
Type: AC
Power: 26 kW
3. Control Strategy of the Proposed Residential System
The general structure of the overall control system of the proposed residential system
is presented in Figure 3. The control system detects the power produced by the PV, the
power demanded by the residential loads, the availability of EV, the state of charge and
the charging power of the storage baery and the EV, the voltage from the DC bus to
generate the control signals for each power converter, in order to control how much
energy is exchanged in the residential system between the loads and the sources.
Figure 3. PV system control design.
3.1. Local Controllers Design
3.1.1. PV System Control
In order to maximize the power available in PV arrays, Maximum Power Point
Tracking (MPPT) techniques based on the perturb and observe (P&O) algorithm are
employed to maintain the operating point of the PV array at its maximum power point
[20,21].
The goal of the technique is to maintain the PV output power close to the maximum
power point (MPP). To achieve this, the resulting current and voltage values of
the PV generator are recorded, then the power is determined. Subsequently, the variation
of the power and the voltage are calculated to know the location of this point
((), ()) in the P–V curve and the sign of the derivatives are positive or negative, a
positive power derivative means that the operating point is approaching the MPP. Then,
the sign of the voltage drift is tested to know the direction of the search.
The search direction determines whether the control signals of pulse width
modulation
(PWM) is in the increase or decrease stage of the duty cycle.
3.1.2. EV Control
A bi-directional buck-boost converter is used between the EV and the DC bus to
determine when the EV baery is charged and discharged [22,23].
Designs 2023, 7, 52 6 of 16
Conventional PI controllers are widely used in most of the energy systems due to
their simple design, easy implementation, affordable price and their robustness. However,
for non-linear systems and in case of parameters variation PI control is not effective. On
the other hand, the fuzzy logic control (FLC) is an effective control in case of system
parameters variations, the uncertainty of the inputs, the non-linearity of the systems and
it presents a reduced response time. Therefore, to control the converter we have developed
a hybrid PI-Fuzzy logic control, that combines the benefits of traditional PI controller with
the advantages of the fuzzy logic controller, in order to obtain a robust and flexible
controller to effectively manage EV charging and discharging.
A PI-Fuzzy logic controller controls the EV charging and discharging using a
reference current that is determined by the EMS based on the operating mode of EV as
shown by Figure 4. Similarly, a bidirectional buck/boost converter based a PI-Fuzzy logic
controller is utilized to control charging and discharging of the baery energy storage, in
the same way.
Figure 4. EV control design.
Table 2 provides the FLC rule base that was used in this research work.
The Membership functions for e and de applied in this work are:
NB: is Negative Big
NS: is Negative Small
ZZ: is Zero
PS: Positive Small
PB: is Positive Big.
The fuzzy rules used in this work are:
When E is PB and DE is NB the output is ZZ
When E is PB and DE is NS the output is PS
When E is PB and DE is ZZ the output is PS
When E is PB and DE is PS the output is PB
When E is PB and DE is PB the output is PB
Where e and de are the inputs of the FLC, they respectively present the error and the
change in error.
Designs 2023, 7, 52 7 of 16
Table 2. Fuzzy rule table [24].
E DE
NB NS ZZ PS PB
PB ZZ PS PS PB PB
PS
NS ZZ PS PS PB
ZZ NS NS ZZ PS PS
NS NB NS NS ZZ PS
NB NB NB NS NS ZZ
3.1.3. Grid-Side Converter Control
The grid-side converter is implemented using the bi-directional DC-AC converter
located between the electrical grid and the DC bus. The control of this converter is based
on ADRC control, which controls the flow of energy from or to the electrical grid as
depicted by Figure 5. This converter operates in two ways, either rectifier or inverter
depending on the situations. When we want to use the power of the electrical grid, the
converter is therefore operated as a rectifier, the current is flowing from the converter to
the DC bus. Contrarywise, when we want to supply the excess power to the grid, the
converter is therefore operated like an inverter, the current is flowing from the DC bus to
the main grid [25].
ADRC is a robust control method, it is employed in this work to control the grid
currents and the DC bus voltage.
Figure 5. The grid-side converter control design.
3.2. Rule-Based Energy Management System
To manage the energy between the demand and generation in residential system, the
rule-based algorithm is used to implement an energy management system. All energy
management parameters are provided in Table 3.
Designs 2023, 7, 52 8 of 16
The proposed rule-based algorithm makes it possible to plan the use of the
components of the residential system according to the power produced, the power
requested and the availability of EV. The electric vehicle has two operating cases. The first
case when the EV is connected to the home, in this case the electric vehicle participates in
the residential system and can operate in two modes. The H2V mode, in this mode the
vehicle is considered as a load, it consumes energy. The V2H mode, in this mode the
vehicle is considered as an energy source, it provides energy. The second case of operation
is when the EV is not connected at home, in this case the electric vehicle does not
participate in the residential system.
The PV system is used as a main source in this work and the electrical grid as a
backup source. If the PV generator produces more energy, the energy from the PV is used
to satisfy the residential loads demand, charge the home storage baeries and the EV
baery (if connected) to be used when needed, and the excess PV energy is fed to the grid.
Moreover, when the power generated by the PV generator is low, the storage baery and
the EV are used to supply the residential loads, the power grid intervenes to ensure
continuity of service if the power from the storage baery and the EV and the PV is not
enough to satisfy the demand for residential loads.
Table 3. Energy system parameters.
Photovoltaic power
Load power
Electric vehicle power
Storage battery power
Grid power
Power from the grid
Power to the grid
Problem formulation:
()− ()− ()− ()−
()= 0
(1)
The proposed control system consists of several possible scenarios following two
cases:
Case 1: EV is connected to home
Scenario 1: This scenario was regarded as a standard situation, PV powers residential
loads and charges the EV (H2V) and storage baery and excess PV power is fed to
the grid.
()> ()+ ()+ ()
(2)
()= ()− ()− ()− ()
(3)
Scenario 2: PV energy is enough to power residential loads and charges the EV (H2V)
and storage baery, no excess energy.
()= ()+ ()+ ()
(4)
Scenario 3: the PV energy is not enough to supply the residential loads. The storage
baery is used to satisfy the demand for residential loads and charges the EV (H2V)
if it is discharged.
()+ ()= ()+ ()
(5)
Scenario 4: PV power and storage baery power are not enough to power residential
loads, the EV intervenes to meet load demand (V2H).
Designs 2023, 7, 52 9 of 16
() = () + () +
(t) (6)
Scenario 5: PV power, storage baery power and EV (V2H) power are not enough to
power residential loads. In this case, the grid intervenes to ensure the load demand
is met.
() = () − () − () − ()
(7)
Scenario 6: PV power and storage baery power are not enough to power residential
loads, and the EV is discharged. In this case, the grid intervenes to ensure load
demand is satisfied.
() = () + () − () − ()
(8)
Case 2: EV is not connected to home
Scenario 7: PV energy is enough to power residential loads and charges the storage
baery, and excess PV power is supplied to the grid.
() > () + ()
(9)
()= ()− ()− ()
(10)
Scenario 8: PV energy is enough to power residential loads and charges the storage
baery, no excess energy.
()= ()+ ()
(11)
Scenario 9: the PV energy is not enough to supply the residential loads. The storage
baery is used to meet the demand of the loads.
()= ()− ()
(12)
Scenario 10: PV power and storage baery power are not enough to power residential
loads. The grid intervenes to ensure the load demand is satisfied.
() = () − () − ()
(13)
Figure 6 depicts the algorithmic flowchart of the proposed EMS describing different
operating modes.
Designs 2023, 7, 52 10 of 16
Figure 6. Proposed residential EMS flowchart.
4. Simulation Results and Discussion
To verify the effectiveness of the proposed residential EMS and associated control
strategies, all the derived sceanrios have been simulated and results presented and
discussed. This is in order to get a thorough investiagation that allow to demonstrate the
interest of renewables and V2H technology in the residential sector.
The EV can be operated in V2H mode only when it is available (connected to home)
and when its charge level is higher than the SOCmax, which is set in this study at 50%,
because the EV must always be available and charged with an acceptable state of charge
as soon as the user needs it, it is necessary to think of the emergency case of use of the
vehicle by the owner.
4.1. EV Connected to Home
4.1.1. Case 1
Figure 7 demonstrates the outcomes of the first scenario. The power produced by the
PV generator is of higher value and equal to 63 kW. It is able to supply the residential
loads with 26 kW power and charge the EV with 7.5 kW charging power and charge the
storage baery with a power of 7.3 kW, and there remains about 22.2 kW it is supplied to
the electrical grid.
A negative value of the power (
, , ) means that the element receives
energy (charging the baery/charging the EV/injecting energy into the grid).
Contrarywise, the element is providing energy (by depleting the baery, discharging the
EV, or using grid electricity) if the power value was positive.
In this case the energy produced through the PV is sufficient to meet the requirements
of the household loads, to charge the EV and the storage baery, and the rest of the power
is injected into the electricity grid. Figure 8a shows EV charging and Figure 8b shows
baery charging, and the DC bus voltage is shown in Figure 9.
Designs 2023, 7, 52 11 of 16
Figure 7. Residential system power flow with V2H.
(a) (b)
Figure 8. EV and baery charging from PV. (a) EV SOC. (b) baery SOC.
Figure 9. DC Bus voltage.
4.1.2. Case 2
In this scenario, the energy generated through the PV generator is of low value, the
PV power and the storage baery power are not enough to supply the residential loads.
Moreover, since the EV is connected to the house and its charge level is greater than 50%,
so it intervenes to meet the demand for household loads, and the electricity grid intervenes
to supply the load remaining power of around 8.5 kW as shown in Figure 10.
The EV operates in this case in V2H mode. It makes use of the energy contained in
its baery to power household loads as depicted by Figure 11.
Designs 2023, 7, 52 12 of 16
Figure 10. Power distribution in the system.
(a) (b)
Figure 11. EV and baery discharging to meet the demand of the loads. (a) EV SOC. (b) storage
baery SOC.
4.1.3. Case 3
As shown by Figure 12, the PV power and the storage baery power are not enough
to supply the residential loads, and the EV is discharged. In this case, the grid intervenes
to ensure the load requirements are satisfied, and the EV operates in the H2V mode.
Figure 13 represents the SOC of the EV and the storage baery. The EV operates in
H2V mode, it charges through power from storage baery, PV system, and utility grid.
Figure 12. Power distribution in the system.
Designs 2023, 7, 52 13 of 16
(a) (b)
Figure 13. SOC of the EV and the storage baery. (a) EV SOC. (b) Storage baery SOC.
In this case, the EV cannot operate in V2H mode because it is discharged. The grid
power used is about 22.5 kW, compared to the previous case (case 2), the grid power has
been used was just 8.5 kW. Therefore, the simulation results presented in Figure 12 show
that the use of EV in V2H mode makes it possible to relieve the electrical grid.
4.2. EV Is Not Connected to Home
PV power and storage baery power are not enough to supply residential loads, and
the EV is not connected to the house, in this case the grid intervenes to ensure the
continuity of service. In this scenario the EV is not connected to the house, it does not
intervene in the residential system.
Figure 14 shows that the power of the EV is at zero because the EV is not connected
to the home, and the power produced by the PV is low. Therefore, the storage baery,
which will be discharged to satisfy the demand of the household loads as shown by Figure
15, and the electricity grid intervenes to satisfy the load requirements. In this scenario, the
power of the grid used is approximately 16 kW. On the other hand, in the same scenario
but with the intervention of the EV, the grid uses just a power of 8.5 kW (Figure 10). This
means that the participation of the EV allows to reduce the use of the grid, which leads to
the relief of the grid.
Figure 14. Power distribution in the system.
Designs 2023, 7, 52 14 of 16
Figure 15. State of charge of the storage baery.
5. Summary and Conclusions
The V2H concept is considered an advanced and useful technology, as it can
contribute to reducing residential electricity consumption bills and relieving the grid in
times of high electricity demand. Most EV owners can benefit from this concept when the
EVs are parked at workplace or at home. This work deals with the integration of EV in a
residential system operated in a grid-connected mode, and it comprises the PV system,
baery storage system, and home loads.
A hybrid control has been suggested to control the different elements of the system,
the EV converter is controlled through the combined PI-Fuzzy logic control, which
combines the two controls, the conventional PI and the fuzzy logic, the bidirectional AC–
DC converter is controlled by ADRC control. The results show the efficiency of the both
controllers, the PI-Fuzzy logic controller in reducing voltage and current ripples, and the
ADRC controller in rejecting disturbances.
To manage the energy exchange between residential system elements, an energy
management system based on the rule-based method is proposed. The suggested EMS
addresses all possible scenarios, considering the emergency use of the EV by the owner.
All these possible scenarios have been tested and validated.
The simulation results show that the proposed EMS with a residential system
integrating V2H technology is a reliable solution that can beer handle peak energy
demand while simultaneously reducing power grid intervention. The PV is considered as
main source, baery for storage, utility grid is used as a backup source. The EV in this
work operates in two modes, V2H mode and H2V mode depending on operating
conditions. When the energy produced through the PV generator is higher, this power is
used to meet the requirements of residential loads and charge the storage baeries and
the EV baery to be used when needed (EV operates in H2V mode), and the excess PV
energy is injected into the grid. On the contrary, when the energy generated through the
PV generator is low, the storage baery and the EV are used to supply the residential
loads (EV operates in V2H mode), the electricity grid intervenes to satisfy the load if the
power of the baery storage and EV and PV is not enough.
Author Contributions: Conceptualization, K.E.H., S.E.H., E.E.; Funding acquisition, E.E.;
Investigation, N.N.; Methodology, S.E.H., E.E. and M.B.; Software, K.E.H. and N.N.; Supervision,
S.E.H.,E.E., M.B. and S.S.-M.; Validation, S.E.H., E.E.; Writing—original draft, K.E.H. and N.N.;
Writing—review & editing, S.E.H., E.E., M.B. and S.S.-M. All authors have read and agreed to the
published version of the manuscript.
Funding: This research received no external funding.
Data Availability Statement: No new data were created or analyzed in this study. Data sharing is
not applicable to this article.
Conflicts of Interest: The authors declare no conflict of interest.
Designs 2023, 7, 52 15 of 16
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