The aim of this paper is the developments a DC/DC boost converter use to powered a DC/AC inverter with induction motor. A strategy of control of an induction motor (IM) used as a propulsion system of an electric vehicle (EV). The boost converter ensures an energy flux for an ideal operation of the vehicle even in case of battery voltage drop. The technique proposed is based on a direct flow and torque control diagram (DTC) and also introduces the fuzzy logic control (FLC) as well as the regulator in the place of a conventional PI regulator. The proposed approach covers the vehicle's torque demand and it optimizes the training performance. Simulation results on a test vehicle propelled by 38-kW induction motor showed that the proposed control approach operates satisfactorily. The analysis and simulations lead to the conclusion that the proposed system is feasible and can be tested on experimental bench.

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This paper investigates a dual star synchronous machine powered by two independent threelevel voltage source inverters integrated in a wind turbine system (Figure 1). The dual star synchronous machine is used in areas of high power industrial applications such as naval propulsion, traction systems and renewable energy. This use is motivated by several important advantages compared to classical three-phase machine. In this work, the machine side converters control the dq component current by a conventional method based PI regulator, and then the load side converters control the DC bus voltage using sliding mode approach and the RMS voltage load. The validity of the proposed control technique is verified by Matlab/Simulink. Simulation results presented in this paper confirm the validity and feasibility of the proposed control approach, and can be tested on experimental setup.

This work is interested in the study and analysis of the functioning of a hybrid energy production system made up of three energy sources: Wind energy, a photovoltaic generator, and a battery. The control of each part of the multi-source production chain generates the optimization of the functioning of the global system. The multi-level inverter is inserted in the chain of the hybrid system which can also improve the quality of the energy injected into the alternating load and consequently reduce the harmonic rate. The stability of the voltage across the DC bus capacitor plays a very important role in the healthy functioning of the production chain. For this purpose, an adjustment based on a sliding mode controller which ensures the adjustment of the DC voltage. Among the solutions deployed in order to obtain an excellent quality of energy to the network or to the AC load is the use of multi-level inverters. The major interest of this work is to extract the maximum power from the DC bus based on fuzzy logic control. The load requirements are often varied and to meet them, an algorithm for managing the energy flow between the different production sources is proposed. The implementation of the proposed system is carried out under the Matlab / Simulink environment, the results obtained validate the effectiveness of the technique and its feasibility in simulation and even in the case of practical implementation in real time.

Integrating solar energy in electric vehicles (EV) is expected to play a dominant role in the decarbonization of the transportation sector as well as reducing the charging costs. These integrated photovoltaic automobiles are particularly adapted for urban driving that is to say the driving range is limited. On that account, the use of a feasible energy storage system is necessary to boost the driving mileage. This paper uses a hybrid energy system, containing a battery as the main storage device and a supercapacitor (SC) as a backup. This combination was suggested in order to negate the former's deficiencies. The use of a hybrid energy source leads to the necessity of introducing a robust power management strategy to guarantee the optimal power flow in electric vehicle components. An artificial neural network is then trained with model calculation for the power management approach for the traction chain. The results of the simulation indicate that the proposed system is efficient in improving the energy management of the vehicle. Moreover, the system's simplicity could potentially make it easier to implement in real-time using a DSP or a DSPACE platform.