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01 September 2012 - 01 January 2021
Flah Aymen was born in Gabès, Tunisia in 1983. He received a bachelor’s degree in electrical engineering from the ENIG, Tunisia, in 2007 and an M.Tech. degree from the same school in 2009. He received his PhD with the Department of Electrical Engineering in 2012. He has academic experience of 11 years. In 2021 he became an associate professor. Currently, he is an associate professor at the National School of Engineering at the University of Gabès. He has published over 40 research articles in international sited journals and conferences, and book chapters. His research field includes electrical vehicle applications, renewable energies, and power management.
This research focuses on a photovoltaic system that powers an Electric Vehicle when moving in realistic scenarios with partial shading conditions. The main goal is to find an efficient control scheme to allow the solar generator producing the maximum amount of power achievable. The first contribution of this paper is the mathematical modelling of the photovoltaic system, its function and its features, considering the synthesis of the step-up converter and the maximum power point tracking analysis. This research looks at two intelligent control strategies to get the most power out, even with shading areas. Specifically, we show how to apply two evolutionary algorithms for this control. They are the “particle swarm optimization method” and the “grey wolf optimization method”. These algorithms were tested and evaluated when a battery storage system in an Electric Vehicle is fed through a photovoltaic system. The Simulink/Matlab tool is used to execute the simulation phases and to quantify the performances of each of these control systems. Based on our simulation tests, the best method is identified.
Habib Kraiem; Flah Aymen; Lobna Yahya; Alicia Triviño; Mosleh Alharthi; Sherif S. M. Ghoneim. A Comparison between Particle Swarm and Grey Wolf Optimization Algorithms for Improving the Battery Autonomy in a Photovoltaic System. Applied Sciences 2021, 11, 7732 .
AMA StyleHabib Kraiem, Flah Aymen, Lobna Yahya, Alicia Triviño, Mosleh Alharthi, Sherif S. M. Ghoneim. A Comparison between Particle Swarm and Grey Wolf Optimization Algorithms for Improving the Battery Autonomy in a Photovoltaic System. Applied Sciences. 2021; 11 (16):7732.
Chicago/Turabian StyleHabib Kraiem; Flah Aymen; Lobna Yahya; Alicia Triviño; Mosleh Alharthi; Sherif S. M. Ghoneim. 2021. "A Comparison between Particle Swarm and Grey Wolf Optimization Algorithms for Improving the Battery Autonomy in a Photovoltaic System." Applied Sciences 11, no. 16: 7732.
This paper presents a straightforward power management algorithm that supervises the contribution of more than one energy source for charging a vehicle, even if the car is in motion. The system is composed of a wireless charging system, photovoltaic (PV) generator, fuel cell (FC), and a battery system. It also contains a group of power converters associated with each energy resource to make the necessary adaptation between the input and output electrical signals. The boost converter relates to the PV/FC, and the boost–buck converter is connected with the battery pack. In this work, the wireless charging, FC, and PV systems are connected in parallel via a DC/DC converter for feeding the battery bank when the given energy is in excess. Therefore, for each of these elements, the mathematical model is formulated, then the corresponding power management loop is built, which presents the significant contribution of this paper. The efficient power management methodology proposed in this work was verified on Matlab/Simulink platforms. The battery state of charge and the hydrogen consumption obtained results were compared to show the effectiveness of this multi-source system.
Naoui Mohamed; Flah Aymen; Ziad Ali; Ahmed Zobaa; Shady Abdel Aleem. Efficient Power Management Strategy of Electric Vehicles Based Hybrid Renewable Energy. Sustainability 2021, 13, 7351 .
AMA StyleNaoui Mohamed, Flah Aymen, Ziad Ali, Ahmed Zobaa, Shady Abdel Aleem. Efficient Power Management Strategy of Electric Vehicles Based Hybrid Renewable Energy. Sustainability. 2021; 13 (13):7351.
Chicago/Turabian StyleNaoui Mohamed; Flah Aymen; Ziad Ali; Ahmed Zobaa; Shady Abdel Aleem. 2021. "Efficient Power Management Strategy of Electric Vehicles Based Hybrid Renewable Energy." Sustainability 13, no. 13: 7351.
Recently, most transportation systems have used an integrated electrical machine in their traction scheme, resulting in a hybrid electrified vehicle. As a result, an energy source is required to provide the necessary electric power to this traction portion. However, this cannot be efficient without a reliable recharging method and a practical solution. This study discusses the wireless recharge solutions and tests the system’s effectiveness under various external and internal conditions. Moreover, the Maxwell tool is used in this research to provide a complete examination of the coils’ position, size, number, and magnetic flux evolution when the coils are translated. In addition, the mutual inductance for each of these positions is computed to determine the ideal conditions for employing the wireless recharge tool for every charging application. A thorough mathematical analysis is also presented, and the findings clearly demonstrate the relationship between the magnet flux and the various external conditions employed in this investigation.
Naoui Mohamed; Flah Aymen; Zaafouri Issam; Mohit Bajaj; Sherif Ghoneim; Mahrous Ahmed. The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging. Sensors 2021, 21, 4343 .
AMA StyleNaoui Mohamed, Flah Aymen, Zaafouri Issam, Mohit Bajaj, Sherif Ghoneim, Mahrous Ahmed. The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging. Sensors. 2021; 21 (13):4343.
Chicago/Turabian StyleNaoui Mohamed; Flah Aymen; Zaafouri Issam; Mohit Bajaj; Sherif Ghoneim; Mahrous Ahmed. 2021. "The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging." Sensors 21, no. 13: 4343.
Electric vehicle seems largely based on electrical machines. Finding the best motor type seems be important for having more performances and a transport system robustness. In this work, we present an analytical model of the synchronous machine with variable reluctances in linear and saturated modes. The angular position of the rotor (θ) and the phase current (i) will beused as parameters. The analytical model of this machine will allow us to determinate its magnetic characteristics such inductors, magnetic flux and electromagnetic torque. The results obtained by the analytical model are compared with those obtained by the finite element method. So, basing on Matlab/Simulink tool and by working with finite element method, these results are depicted and the paper objective is illustrated.
Hleli Hanene; Flah Aymen; Tounsi Souhir. Variable reluctance synchronous machines in saturated mode. International Journal of Power Electronics and Drive Systems (IJPEDS) 2021, 12, 1 .
AMA StyleHleli Hanene, Flah Aymen, Tounsi Souhir. Variable reluctance synchronous machines in saturated mode. International Journal of Power Electronics and Drive Systems (IJPEDS). 2021; 12 (2):1.
Chicago/Turabian StyleHleli Hanene; Flah Aymen; Tounsi Souhir. 2021. "Variable reluctance synchronous machines in saturated mode." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2: 1.
Shunt active power filter (SAPF) belongs to the class of custom power devices (CPDs) and offers compensation to harmonics originated owing to customer side nonlinear loads, reactive power and unbalance in the distribution power networks functioning in current control mode (CCM). The performance of a SAPF as a harmonic compensator entirely relies on the control technique i.e. the precise detection of the harmonic current components of load that are necessary to be compensated. In the present work, a 3-phase SAPF, inspired by a Lyapunov function based control approach, has been designed for compensation of harmonics resulted in the feeder current owing to the customer side nonlinearity. A control law is determined in the proposed strategy which makes the derivative of the Lyapunov function consistently a negative one for an entire set of stable states. The DC-link capacitor voltage is regulated at constant reference through the proportional-integral (PI) controller. In this method rating of the shunt active power filter is considerably reduced than the other two broadly employed conventional methods. Furthermore, the harmonic compensation efficacy of the proposed Lyapunov function based SAPF is compared with the one based on other two conventional approaches under four different system scenarios namely a simple nonlinear load with and without utility side voltage distortion, a modified IEEE 13 bus test distribution system loaded with a 3-phase chopper fed direct current (DC) motor drive at a single bus and last especially for increasing the harmonic-constrained penetration level of renewable energy. Results obtained through simulation performed in MATLAB/Simulink shows that total harmonic distortion (THD) of source current and dynamic, as well as steady-state performance with Lyapunov function based controller, is significantly improved than the other two conventional methods. Also, the robust compensation performance of the SAPF empowers it to deal with the high penetration of renewable energy.
Mohit Bajaj; Aymen Flah; Majed Alowaidi; Naveen Kumar Sharma; Shailendra Mishra; Sunil Kumar Sharma. A Lyapunov-Function Based Controller for 3-Phase Shunt Active Power Filter and Performance Assessment Considering Different System Scenarios. IEEE Access 2021, 9, 66079 -66102.
AMA StyleMohit Bajaj, Aymen Flah, Majed Alowaidi, Naveen Kumar Sharma, Shailendra Mishra, Sunil Kumar Sharma. A Lyapunov-Function Based Controller for 3-Phase Shunt Active Power Filter and Performance Assessment Considering Different System Scenarios. IEEE Access. 2021; 9 ():66079-66102.
Chicago/Turabian StyleMohit Bajaj; Aymen Flah; Majed Alowaidi; Naveen Kumar Sharma; Shailendra Mishra; Sunil Kumar Sharma. 2021. "A Lyapunov-Function Based Controller for 3-Phase Shunt Active Power Filter and Performance Assessment Considering Different System Scenarios." IEEE Access 9, no. : 66079-66102.
The transportation systems around the world are drastically going electrified as a trend because of inevitable heed being paid towards global warming caused by carbon dioxide emissions. A variety of equipment is contained inside these modern versions of the electrified vehicles, and many appear to be similar in types. The internal electric motor and battery power used in these designs are largely responsible for their robustness and durability in transportation systems. The energy conservation problem, on the other hand, is a vital factor that must be handled in order to ensure overall performance and cost-effectiveness. This paper provides a thorough examination of the internal equipment needed to facilitate and optimize the transportation system’s energetic global success with these critical parameters. In the present study, a specific investigation is emphasized which mainly aims to recognize a new electric motor within the propulsion system. The same type of machine is discussed by elaborating internal designing through the implementation of the corresponding mathematical model and along with the corresponding electronic inverter. The associated control system is also established and implemented. Therefore, a significant theoretical contribution, made in this paper, can be used to examine the performance of a particular electrical machine for EV applications. A robust FOC-based control application confirmed this analysis. When a vehicle’s power needs to be increased rapidly, this one-of-a-kind electrical machine proves its worth. Using the MATLAB simulation method, the robustness of this system’s control has been demonstrated in this special mode.
Flah Aymen; Majed Alowaidi; Mohit Bajaj; Naveen Kumar Sharma; Shailendra Mishra; Sunil Kumar Sharma. Electric Vehicle Model Based on Multiple Recharge System and a Particular Traction Motor Conception. IEEE Access 2021, 9, 49308 -49324.
AMA StyleFlah Aymen, Majed Alowaidi, Mohit Bajaj, Naveen Kumar Sharma, Shailendra Mishra, Sunil Kumar Sharma. Electric Vehicle Model Based on Multiple Recharge System and a Particular Traction Motor Conception. IEEE Access. 2021; 9 (99):49308-49324.
Chicago/Turabian StyleFlah Aymen; Majed Alowaidi; Mohit Bajaj; Naveen Kumar Sharma; Shailendra Mishra; Sunil Kumar Sharma. 2021. "Electric Vehicle Model Based on Multiple Recharge System and a Particular Traction Motor Conception." IEEE Access 9, no. 99: 49308-49324.
There has been a rapid adoption of electric vehicles (EVs), and the industry has been looking for the most enhanced traction system to improve performance and reliability. Such specifications are mostly dependent on the magnetic materials for brushless DC or AC machines, and typically EVs are manufactured with those machines. In the past two decades, there have also been improved performance ratings of power electronic devices. On one hand, making possible AC motors more suitable for EVs. On the other hand, it allows further advanced topology circuits to fit machines with two rotors or two stators. This paper shows two configurations of electrical machine control for EVs, discuss the pros and cons, and corresponding mathematical models have been developed in order to enhance a Field Oriented Control (FOC) strategy, which has been analyzed and studied through MATLAB based simulations, allowing novel design based on the analytical models developed by the authors.
Aymen Flah; Irfan Ahmad Khan; Anshul Agarwal; Lassaad Sbita; Marcelo Godoy Simoes. Field-oriented control strategy for double-stator single-rotor and double-rotor single-stator permanent magnet machine: Design and operation. Computers & Electrical Engineering 2021, 90, 106953 .
AMA StyleAymen Flah, Irfan Ahmad Khan, Anshul Agarwal, Lassaad Sbita, Marcelo Godoy Simoes. Field-oriented control strategy for double-stator single-rotor and double-rotor single-stator permanent magnet machine: Design and operation. Computers & Electrical Engineering. 2021; 90 ():106953.
Chicago/Turabian StyleAymen Flah; Irfan Ahmad Khan; Anshul Agarwal; Lassaad Sbita; Marcelo Godoy Simoes. 2021. "Field-oriented control strategy for double-stator single-rotor and double-rotor single-stator permanent magnet machine: Design and operation." Computers & Electrical Engineering 90, no. : 106953.
This chapter deals with the problem of energy storage inside an electric vehicle. The main source of energy is based on a wireless system. This recharge tool regroups inside several components as the storage system, which consists of an ensemble of batteries and serving as the main power source, a special electronic converter that is based on the buck-boost principle and a coil receiver placed undo the vehicle. From the other side, one or more than coil transmitters are placed on the road, where the vehicle is. Modeling all of these components and expressing their mathematical models seems interesting for defining the possible control method that can guarantee a high autonomy when the vehicle is moving. So, taking into account if the care is driving or stopped, this recharge system is studied for verifying the effectiveness of this recharge system and showing the relationship between the vehicle situation and the quantity of received power. Using the platform Matlab/Simulink the results were shown and discussed.
Mohamed Naoui; Flah Aymen; Ben Hamed Mouna; Lassaad Sbita. Brushless Motor and Wireless Recharge System for Electric Vehicle Design Modeling and Control. Advances in Systems Analysis, Software Engineering, and High Performance Computing 2021, 338 -362.
AMA StyleMohamed Naoui, Flah Aymen, Ben Hamed Mouna, Lassaad Sbita. Brushless Motor and Wireless Recharge System for Electric Vehicle Design Modeling and Control. Advances in Systems Analysis, Software Engineering, and High Performance Computing. 2021; ():338-362.
Chicago/Turabian StyleMohamed Naoui; Flah Aymen; Ben Hamed Mouna; Lassaad Sbita. 2021. "Brushless Motor and Wireless Recharge System for Electric Vehicle Design Modeling and Control." Advances in Systems Analysis, Software Engineering, and High Performance Computing , no. : 338-362.
The transportation systems have become more electrified, and the major countries of the world program using electric scooters, electric bicycles, electric trains, electric buses, and electric vehicles for their transport. The traditional energy resource stocks are still decreasing rapidly, which makes the world afraid about the future of the transport sector. Therefore, several international restrictions and laws have limited using this kind of energy in relation to the transport sector by encouraging public transport and making a high taxes for the highly energy-consuming cars. The robustness and the efficiency of transportation systems designs are related especially to the internal electric motor and to the battery capacity used. From the other side, the energy management problem presents a serious factor that must be optimized in order to guarantee the overall efficiency and rentability. This chapter explores the modeling and control of hybrid electric vehicles.
Flah Aymen; Habib Kraiem; Lassaad Sbita. Modeling and Control of Hybrid Electric Vehicle. Advances in Systems Analysis, Software Engineering, and High Performance Computing 2021, 521 -541.
AMA StyleFlah Aymen, Habib Kraiem, Lassaad Sbita. Modeling and Control of Hybrid Electric Vehicle. Advances in Systems Analysis, Software Engineering, and High Performance Computing. 2021; ():521-541.
Chicago/Turabian StyleFlah Aymen; Habib Kraiem; Lassaad Sbita. 2021. "Modeling and Control of Hybrid Electric Vehicle." Advances in Systems Analysis, Software Engineering, and High Performance Computing , no. : 521-541.
The Wireless power transfer provides a new technology to charge electric vehicles (EVs) without physical contact. This system has to resolve partially the autonomy problem for electric vehicles and buses. The major of researchers were expose two categories of this technique, as the Stationary Wireless Charging (SWC) and the Dynamic Wireless Charging (DWC) systems. Actually, the wireless recharge method is a recent solution who eliminates the problem of waiting time in the recharge stations. However, the problem is always related to the vehicle status, if it is in motion and if it is in high speed running mode. In this context, this paper defines and examines the mathematical model of the Dynamic Wireless Charging system and explains its function in relation to several parameters related to the vehicle situation. A study is carried out to explore the mathematical model and to identify the best conditions for using the recharge method when the vehicle is in motion. The analysis study was elaborated using Matlab/Simulink software and the obtained results were showed the variation of the SOC state and this is depending on the vehicle speed. This article is protected by copyright. All rights reserved.
Naoui Mohamed; Flah Aymen; Mouna Ben Hamed; Sbita Lassaad. Analysis of battery‐EV state of charge for a dynamic wireless charging system. Energy Storage 2019, 2, 1 .
AMA StyleNaoui Mohamed, Flah Aymen, Mouna Ben Hamed, Sbita Lassaad. Analysis of battery‐EV state of charge for a dynamic wireless charging system. Energy Storage. 2019; 2 (2):1.
Chicago/Turabian StyleNaoui Mohamed; Flah Aymen; Mouna Ben Hamed; Sbita Lassaad. 2019. "Analysis of battery‐EV state of charge for a dynamic wireless charging system." Energy Storage 2, no. 2: 1.
In automotive application, electric vehicles and electrical busses are based essentially on electrical machine. Controlling the motor electric current is the only possible solution for varying it speed. This kind of application needs a high torque/speed relation factor for moving this transportation system (load). Brushless direct current (BLDC) machine is one of the most motors who can be used for this system, however the BLDC motors performances are highly affected by the disturbance of the load. Controlling its speed needs generally a high precision control method and needs knowing the motor parameters for finding the optimal regulator parameters. Basing on various solutions, it is possible to calculate these parameters without necessity finding the motor parameters. Particle swarm optimization (PSO) method is one of the optimization solutions who can resolve this problem. Therefore, this paper deals with the implantation of this optimization tool for help finding the optimal proportional-integral (PI) parameters for controlling the BLDC speed.
Flah Aymen; Oussama Berkati; Sbita Lassaad; Mohamed Nabil Srifi. BLDC Control Method Optimized by PSO Algorithm. 2019 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) 2019, 1 -5.
AMA StyleFlah Aymen, Oussama Berkati, Sbita Lassaad, Mohamed Nabil Srifi. BLDC Control Method Optimized by PSO Algorithm. 2019 International Symposium on Advanced Electrical and Communication Technologies (ISAECT). 2019; ():1-5.
Chicago/Turabian StyleFlah Aymen; Oussama Berkati; Sbita Lassaad; Mohamed Nabil Srifi. 2019. "BLDC Control Method Optimized by PSO Algorithm." 2019 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) , no. : 1-5.
Aymen Flah; Chokri Mahmoudi. Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N. International Journal of Energy Research 2019, 1 .
AMA StyleAymen Flah, Chokri Mahmoudi. Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N. International Journal of Energy Research. 2019; ():1.
Chicago/Turabian StyleAymen Flah; Chokri Mahmoudi. 2019. "Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N." International Journal of Energy Research , no. : 1.
Electric Vehicles (EVs) have emerged rapidly across the globe as a powerful eco-friendly initiative that if integrated well with an urban environment could be iconic for the city’ host’s commitment to sustainable mobility and be a key ingredient of the smart city concept. This paper examines ways that will help us to develop a better understanding of how EVs can achieve energy use optimization and be connected with a smart city. As a whole, the present study is based on an original idea that would be useful in informing policy-makers, automotive manufacturers and transport operators of how to improve and embrace better EV technologies in the context of smart cities. The proposed approach is based on vehicles and buildings communication for sharing some special information related to the vehicle status and to the road condition. EVs can share their own information related to the energy experience on a specific path. This information can be gathered in a gigantic database and used for managing the power inside these vehicles. In this field, this paper exposes a new approach to power management inside an electric vehicle based on bi-communication between vehicles and buildings. The principle of this method is established on two sections; the first one is related to vehicles’ classification and the second one is attached to the buildings’ recommendation, according to the car position. The classification problem is resolved using the support vector classification method. The recommendation phase is resolved using the artificial intelligence principle and the neural network was employed, for giving the best decision. The optimal decision will be calculated inside the building, according to its position and using the old vehicle’s data, and transferred to the coming vehicle, for optimizing its energy consumption method in the corresponding building zone. Different possibilities and situations were discussed in this approach. The proposed power management methodology was tested and validated using Simulink/Matlab tool. Results related to the battery state of charge and to the consumed energy were compared at the end of this work, for showing the efficiency of this approach.
Flah Aymen; Chokri Mahmoudi. A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City. Energies 2019, 12, 929 .
AMA StyleFlah Aymen, Chokri Mahmoudi. A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City. Energies. 2019; 12 (5):929.
Chicago/Turabian StyleFlah Aymen; Chokri Mahmoudi. 2019. "A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City." Energies 12, no. 5: 929.
As world population continues to grow and the limited amount of fossil fuels begin to diminish, it may not be possible to afford the needed amount of energy demanded by the world by only using fossil fuels. Meanwhile, the abundant nature of renewable energy sources brings new beginning for next generations. Greater penetration of electric vehicles will play an important role in building green and healthy world. The main remaining issue to make the switch from conventional to electric vehicle is performance cost; Efficient EVs that can drive for long distances, on single charge, are still expensive for ordinary consumer. To address this range problem, many attempts have been made during last decade. The goal was to conceive a power efficient electric vehicle, capable of managing its energy and reach longer distances. It depends on the electrical architectures and used algorithms.This paper adds new perspective for power Management in EVs; The proposed methodology introduces a new power management architecture based on communication and car learning. The conventional software level in EV has been replaced with self readjustable software. EVs are connected through a database, and can upload or download adjustment parameters while software is running.To take advantage of the new architecture, a new learning technique concept is introduced too, based on Cloud experience exchange between Electric Vehicles. This enhancement aims to build a better EV experience in power management through Cloud sharing and definitely cut with conventional architecture that may have reached its boundaries.
Chokri Mahmoudi; Flah Aymen; Sbita Lassaad. Smart database concept for Power Management in an electrical vehicle. International Journal of Power Electronics and Drive Systems (IJPEDS) 2019, 10, 160 -169.
AMA StyleChokri Mahmoudi, Flah Aymen, Sbita Lassaad. Smart database concept for Power Management in an electrical vehicle. International Journal of Power Electronics and Drive Systems (IJPEDS). 2019; 10 (1):160-169.
Chicago/Turabian StyleChokri Mahmoudi; Flah Aymen; Sbita Lassaad. 2019. "Smart database concept for Power Management in an electrical vehicle." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 1: 160-169.
The objective of this paper is to define correctly the overall components of the wireless recharge system and study its efficiency in relation to the vehicle situation under various speeds values. This study required a detailed mathematical analysis and needs to define the correct relationship between more than parameters as the vehicle speed, the battery SOC, the distance between the two coils, the injected electrical power and the transmitter/receiver dimension and number. Also, the recharge time factor was taken in consideration in this phase. The analysis study was elaborated using Matlab/Simulink software and the obtained results were showed that the efficiency of this recharge system depends, numerous and essential factors, especially the vehicle speed. So, a selective recommendation was given at the end of this study.
Naoui Mohamed; Flah Aymen; Ben Hamed Mouna. Inductive charger efficiency under internal and external parameters variation for an electric vehicle in motion. International Journal of Powertrains 2019, 8, 343 .
AMA StyleNaoui Mohamed, Flah Aymen, Ben Hamed Mouna. Inductive charger efficiency under internal and external parameters variation for an electric vehicle in motion. International Journal of Powertrains. 2019; 8 (4):343.
Chicago/Turabian StyleNaoui Mohamed; Flah Aymen; Ben Hamed Mouna. 2019. "Inductive charger efficiency under internal and external parameters variation for an electric vehicle in motion." International Journal of Powertrains 8, no. 4: 343.
In this paper, we expose and discuss the importance of application of recharge systems to an electrical vehicle. In addition to its vital role in supplying vehicle with the required power recharge system has many type the most important of then is wireless charge system that transmits power from transmitter to receiver without any contact. It is obvious that this power is variable in relation to the speed and has a main function which is loading the battery. In this work our main objective is to focus on the change of SOC when we vary the car's speed by applying Matlab Simulink in order to obtain the needed results.
Naoui Mohamed; Flah Aymen; Ben Hamed Mouna. Wireless Charging System for a Mobile Hybrid Electric Vehicle. 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) 2018, 1 -5.
AMA StyleNaoui Mohamed, Flah Aymen, Ben Hamed Mouna. Wireless Charging System for a Mobile Hybrid Electric Vehicle. 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT). 2018; ():1-5.
Chicago/Turabian StyleNaoui Mohamed; Flah Aymen; Ben Hamed Mouna. 2018. "Wireless Charging System for a Mobile Hybrid Electric Vehicle." 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) , no. : 1-5.
DC-DC boost converters which provide dc output voltage are widely used in several applications such as photovoltaic power systems, hybrid vehicle, cellphones... Maintaining a constant output voltage of the DC-DC boost converter under variable input voltage and load changes have always attracted the attention of many researchers and many studies have been published on this issue. This paper, present an averaged model of DC-DC boost converter in continuous conduction mode (CCM). A single loop control is generally used to regulate the output voltage of the boost converter. In this paper, a cascade loop control includes two cascaded control loops; internal current control, and external voltage control is used to improve control performance. Subsequently, Proportional-Integral (PI) controller is used to tracks the input desired reference signal and eliminates the load disturbances. The mathematical model and the controller are implemented in the MATLAB/SIMULINK environment. Simulations results are presented and discussed to evaluate the performance of the controller.
Ounis Rabiaa; Ben Hamed Mouna; Sbita Lassaad; Flah Aymen; Abid Aicha. Cascade Control Loop of DC-DC Boost Converter Using PI Controller. 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) 2018, 1 -5.
AMA StyleOunis Rabiaa, Ben Hamed Mouna, Sbita Lassaad, Flah Aymen, Abid Aicha. Cascade Control Loop of DC-DC Boost Converter Using PI Controller. 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT). 2018; ():1-5.
Chicago/Turabian StyleOunis Rabiaa; Ben Hamed Mouna; Sbita Lassaad; Flah Aymen; Abid Aicha. 2018. "Cascade Control Loop of DC-DC Boost Converter Using PI Controller." 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) , no. : 1-5.
In this paper, we expose an energy optimization method for an ensemble of electrical vehicles. The idea is based on vehicles information sharing in a cloud database. Installed sensors in a vehicle will allow us to know the needed vehicle information. The regrouped data will be used then for building an optimal energy experience which will be shared with the new vehicles. The neural network technique is used here for the learning phases. The proposed application for this work was validated for five connected cars. Matlab Simulink was used for simulating the results and given the present statistics.
Flah Aymen; Chokri Mahmoudi; Lassaad Sbita. Energy Optimization Method for Connected Vehicles on a Cloud Database. 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) 2018, 1 -5.
AMA StyleFlah Aymen, Chokri Mahmoudi, Lassaad Sbita. Energy Optimization Method for Connected Vehicles on a Cloud Database. 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT). 2018; ():1-5.
Chicago/Turabian StyleFlah Aymen; Chokri Mahmoudi; Lassaad Sbita. 2018. "Energy Optimization Method for Connected Vehicles on a Cloud Database." 2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) , no. : 1-5.
This paper presents an improved speed estimator for a permanent magnet synchronous motor (PMSM). It focuses on hybrid electric vehicles (HEVs). The speed estimator is based on reactive power model reference adaptive system (Q-MRAS). The MRAS parameters are tuned using particle swarm optimization (PSO) algorithms. The proposed method has been experimentally verified with a 100 kW, 5000 rpm PMSM, and a good agreement between the measured speed and the estimated speed is found. It is shown that the proposed method is able to handle the transition into the flux weakening mode without any problem.
Flah Aymen; Martin Novak; Sbita Lassaad. An Improved Reactive Power MRAS Speed Estimator With Optimization for a Hybrid Electric Vehicles Application. Journal of Dynamic Systems, Measurement, and Control 2018, 140, 1 .
AMA StyleFlah Aymen, Martin Novak, Sbita Lassaad. An Improved Reactive Power MRAS Speed Estimator With Optimization for a Hybrid Electric Vehicles Application. Journal of Dynamic Systems, Measurement, and Control. 2018; 140 (6):1.
Chicago/Turabian StyleFlah Aymen; Martin Novak; Sbita Lassaad. 2018. "An Improved Reactive Power MRAS Speed Estimator With Optimization for a Hybrid Electric Vehicles Application." Journal of Dynamic Systems, Measurement, and Control 140, no. 6: 1.
Controlling the charging power system in an electrical vehicle, presents a serious challenge for the engineer in order to find the best solution that guarantee the system effectiveness and performance. Related to this objective, this paper is presented to offer an intelligent power management algorithm, which guarantees the best process of power extraction and injection, respectively, from an electrical generator (EG) linked to an internal combustion engine (ICE) to a system of batteries via a direct current to alternative current power converter. This intelligent process was based on the fuzzy technology and the system tuning is made after a various test. Obtaining the necessary power in the exact moment and in the specific condition, that presents the goal of the presented algorithm. For obtaining the best instruction from the present intelligent process, the state of charge (SOC) of the battery, the measured output voltage from the battery and the acceleration decision of the user, are used as a real's input parameters for having a real statue of the electrical vehicle. This new process will be an asset to the highway electrical vehicle for optimizing the power consumption. To evaluate the algorithm performance matlab/simulink is used and a simulation results are presented and discussed.
Flah Aymen. Internal Fuzzy Hybrid Charger System for a Hybrid Electrical Vehicle. Journal of Energy Resources Technology 2017, 140, 012003 .
AMA StyleFlah Aymen. Internal Fuzzy Hybrid Charger System for a Hybrid Electrical Vehicle. Journal of Energy Resources Technology. 2017; 140 (1):012003.
Chicago/Turabian StyleFlah Aymen. 2017. "Internal Fuzzy Hybrid Charger System for a Hybrid Electrical Vehicle." Journal of Energy Resources Technology 140, no. 1: 012003.