Study of an Electric Drive System Powered by Renewable Sources

dc.contributor.authorKamel KHIARI
dc.contributor.authorHaroune BAIT
dc.contributor.authorENCA/ Toufik ROUBACHE
dc.date.accessioned2025-07-15T11:27:47Z
dc.date.available2025-07-15T11:27:47Z
dc.date.issued2025-06-30
dc.description.abstractThis study explores the design, modeling, and control of an electric drive system powered by various renewable energy sources for use in electric vehicles (EVs). The system integrates photovoltaic (PV) systems, fuel cells, batteries, and supercapacitors to create a hybrid energy solution that enhances efficiency, reliability, and sustainability. The study begins with an introduction to renewable energy technologies, including solar, hydrogen fuel cells, and wind power, and examines how these technologies are integrated into EVs drive systems. Additionally, a detailed mathematical model for each component is developed to analyze the behavior and interactions among the energy sources within the system. The conventional Perturb and Observe (P&O) algorithm is employed to track the maximum power point (MPPT) from the photovoltaic (PV) system to the drive system, while optimizing the rotor speed of the drive motor to ensure maximum power transfer to the vehicle. To achieve this objective, a Direct Torque Control (DTC) strategy is utilized for motor speed control. This control approach facilitates maximum energy harvesting and enables the motor to operate with high efficiency under varying load conditions. The simulation results confirm the effectiveness of the implemented scheme, demonstrating stable performance, enhanced energy management, and a reduction in dependence on fossil fuels.
dc.identifier.otherELC/21/25
dc.identifier.urihttps://repository.univ-msila.dz/handle/123456789/47218
dc.language.isoen
dc.publisherUniversity of M’sila
dc.subjectElectric drive
dc.subjectRenewable energy source
dc.subjectMPPT
dc.subjectDirect torque control
dc.subjectDouble stator asynchronous machine.
dc.titleStudy of an Electric Drive System Powered by Renewable Sources
dc.typeThesis

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