In an effort to decrease the rate at which Earth's climate is changing and reduce the dependency on carbon based fuels. The automobile industry has shifted their focus towards a more sustainable, less harmful energy sources. The emergence of electric vehicles being a result of this shift. The aim of this work is to study the traction chain of an electric vehicle using two controlled static converters DC-DC converter and DC-AC inverter and a permanent magnet synchronous motor (PMSM) with field oriented vector control reinforced with a sliding mode control in order to improve tracking ability and robustness. The voltage source DC/AC converter is considered as a controlled power interface between the electric machine and the output of the DC storage device, the DC/DC converter is used to automatically regulate the battery operating condition in accordance to the profile of the acting on the vehicle wheels, unknown external torque. Particularly, the speed is continuously regulated by the vehicle driver via the pedal while all other regulations for absorbing or regenerating energy are internally controlled. This study is validated by simulation results which are carried out using a dynamic model of the electric vehicle. The analysis and simulations lead to the conclusion that the proposed system is feasible and can be tested on an experimental bench.
Electric vehicles have gained considerable attention recently due to the ever increasing demand for a viable alternative to the current fossil fuel-dependent modes of transportation. These automobiles are reliant on power electronics to generate the energy required for the motor. Traditional converters, namely the V-source (VS) and C-source (CS), are vulnerable to EMI noise, their main circuits cannot be interchangeable and they are either a boost or a buck converter. Therefore, their output voltage is strictly higher or lower than the input voltage. In an effort to negate these drawbacks, new inverters such as the Z-source were conceptualized. This work aims to study the applicability of the Z-source in the traction chain of an electric vehicle in order to feed a permanent magnet synchronous motor (PMSM). The latter is controlled with field oriented vector control reinforced with a backstepping technique in an attempt to ensure tracking ability and robustness. Energy management is also supported in this article in an effort to optimize the performance of the electric vehicle under different operating conditions. The simulation results show the effectiveness of the proposed system in enhancing the energy management of the vehicle, in addition to its simplicity which can facilitate an eventual implementation using a DSP or a Dspace platform.
Electric vehicles (EVs) provide an excellent opportunity for limiting the emission of a variety of environmentally hazardous gases caused by gasoline and diesel-based vehicles. These propelled vehicles require a forward and backward motion as well as a variable speed operation. Hence, the use of a four-quadrant (4-Q) direct current (DC) converter becomes a necessity. This paper aims to analyse the traction system of an electric automobile along with the improvement of energy efficiency. Inserting a bi-directional DC-DC converter between the battery and the four quadrant-DC chopper assembly allows the power flow from the battery to the motor and the other way around during regenerative braking. Therefore, increasing the limited driving range of the EV. This paper also focused on the application of model reference adaptive fuzzy control (MRAFC) in order to adjust the direct current bus voltage and the DC motor speed. The proposed system has been tested on an experimental bench and the results have been analysed.
In this paper, renewable hydropower plant generators with permanent magnet synchronous generator are coupled via a diode bridge rectifier - DC/DC boost converter and three-phase inverter to a power grid. This paper studies a new control structure focused a backstepping control of the energy generation system.The proposed methods for adjusting the active and reactive power by adjusting the currents, the DC bus voltage on the main side converter, as well as the voltage at the output of the DC-DC boost converter. The main objective of this control is to obtain purely sinusoidal and symmetrical grid current signals, to suppress oscillations in reactive power and to cancel active power chattering in the event of grid imbalance. In order to optimize the energy flow in the different parts of the production process, an energy control algorithm is developed in order to attenuate the fluctuations in the water flow, the grid system of the hydropower plant considered has been implemented in Matlab/Simulink, the results show the effectiveness of the proposed method. To analyze our approach, a prototype is modeled, simulated and can be performed in an experimental test setup.
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