Mohamed Naoui
Université de Gabès Ecole Nationale d'Ingénieurs de Gabès
Research areas: Engineering · Electrical and Electronic Engineering · Electric and Hybrid Vehicle Technologies · Sensorless Control of Electric Motors · Electric Motor Design and Analysis
0000-0001-9117-3510
About
Naoui Mohamed was born in Nefta, Tunis, in 1991. He received the degree in electrical engineering from the University of Gabès, Tunisia, in 2015. He is currently pursuing the Ph.D. degree in electrical engineering with the Research Unit Proceeds, Energies, Environment and Electrical Systems, National Engineering School of Gabès. He has published over 70 research articles in reputed journals, international conferences, and book chapters. His research interests include electric vehicle, power systems, and renewable energy.
Employment
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Université de Gabès Ecole Nationale d'Ingénieurs de Gabès Pr
Education
Education history is unavailable.
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Publications (29)
- Current-vector trajectory–based diagnosis of open-circuit faults in NPC inverters for SSSC applications Save
- A robust hybrid whale optimization algorithm with single candidate optimizer for efficient parameter identification of hydrogen based PEM fuel cells Save
- Metaheuristic optimization of photovoltaic water pumping system using the scalar control of an induction motor drive Save
- Enhanced control of DFIG using fuzzy backstepping under asymmetrical voltage dips with dynamic voltage restorer Save
- Adaline-based direct power control of grid-connected photovoltaic system to improve power quality Save
- Impact of Electrical Faults on PMSM Performance in Electric Vehicles Save
- Smart Charging of Electric Vehicles Save
- Comparative Study of Fuzzy Logic and Neural Network Control for Battery Power Management in Smart Microgrids Save
- Hybrid Type-2 Fuzzy Logic–Extended Kalman Filter Approach for ITSC Fault Detection in PMSM Drives for Electric Vehicles Save
- Model-Free Predictive Control based on the Execution Time of Active Vectors Using Ultra-Local Model Save
- Integrating Renewable Energy Through Model-Based Systems Engineering Save
- Toward Industry 4.0 Deep Learning Applications in Manufacturing Processes Save
- Advanced Residual Optimal Mapping Approach for Precise Detection of Stator Faults in Induction Motors Save
- Effective Diagnosis Approach for Broken Rotor Bar Fault Using Bayesian-Based Optimization of Machine Learning Hyperparameters Save
- Efficiency of Intelligent Control Design for Dual-Stator Machine on the EV Traction System Save
- PMSM Inter-Turn Short Circuit Fault Detection Using the Fuzzy-Extended Kalman Filter in Electric Vehicles Save
- Fault-Tolerant Control Strategy for Hall Sensors in BLDC Motor Drive for Electric Vehicle Applications Save
- Decreasing the Battery Recharge Time If Using a Fuzzy Based Power Management Loop for an Isolated Micro-Grid Farm Save
- Power Management and Control of a Hybrid Electric Vehicle Based on Photovoltaic, Fuel Cells, and Battery Energy Sources Save
- A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles Save