This paper proposes a novel Fuzzy-MPDTC control applied to a fuel cell battery electric vehicle whose traction is ensured using a permanent magnet synchronous motor (PMSM). On the traction side, model predictive direct torque control (MPDTC) is used to control PMSM torque, and guarantee minimum torque and current ripples while ensuring satisfactory speed tracking. On the sources side, an energy management strategy (EMS) based on fuzzy logic is proposed, it aims to distribute power over energy sources rationally and satisfy the load power demand. To assess these techniques, a driving cycle under different operating modes, namely cruising, acceleration, idling and regenerative braking is proposed. Real-time simulation is developed using the RT LAB platform and the obtained results match those obtained in numerical simulation using MATLAB/Simulink. The results show a good performance of the whole system, where the proposed MPDTC minimized the torque and flux ripples with 54.54% and 77%, respectively, compared to the conventional DTC and reduced the THD of the PMSM current with 53.37%. Furthermore, the proposed EMS based on fuzzy logic shows good performance and keeps the battery SOC within safe limits under the proposed speed profile and international NYCC driving cycle. These aforementioned results confirm the robustness and effectiveness of the proposed control techniques.

This paper presents a detailed analysis and comparative study of three torque control methodologies with fuzzy logic, namely direct torque control (DTC), fuzzy direct torque control (FDTC), and model predictive direct torque control (MPDTC), for PMSM control applied to an electric vehicle. The three control strategies are designed and developed to control torque in order to achieve vehicle requirements, such as minimum torque and flux ripples, fast dynamic response, and maximum efficiency. To enhance the performance and efficiency of the overall drive, a bidirectional DC/DC buck-boost converter is connected to the Li-ion battery. In addition, a fuzzy logic controller (FLC) is used in the outer loop to control the speed of the PMSM. As a result, the tuning difficulty of the conventional proportional-integral (PI) controller is avoided and the dynamic speed response is improved. Simulation results obtained from the three control techniques establish that the proposed system via the MPDTC technique reduces the torque ripples, flux ripples, reduces the THD of the PMSM current, and achieves a faster transient response. Additionally, the MPTDC technique enabled the electric vehicle to cover the longest distance, with approximately 110.72 km in a charging cycle. The real-time simulation is developed using the RT LAB simulator, and the obtained results confirm the superiority of the MPDTC technique over conventional DTC and FDTC techniques.

A 2D analytical model is proposed to calculate the magnetic field distribution in axial magnetic coupler with disc magnets. The 2D simplification is possible by assuming an infinite radius of the ferromagnetic yokes. Then, an analytical solution is obtained for a single magnet. This solution allows the determination of the magnetic field due to all the magnets so the total magnetic field is obtained by superposition. To demonstrate the validity of the model, the analytical results are compared with those obtained from 3-D FE simulations and from experimental tests carried out on a magnetic coupler equipped with disc magnets and HTS pancake coils.

In this paper, we propose a method to calculate the magnetic field in flux concentration superconducting magnetic coupling (FCSMC) with rectangular permanent magnets (PMs). The inner rotor is composed of rectangular PMs, and the external rotor is made of high-temperature superconducting coils supplied by dc current. First, an exact 2-D analytical computation is developed in polar coordinates for calculating the magnetic field distribution in FCSMC with sector PMs having the same volume as the rectangular PMs. The model is validated by finite-element computations. The analytical model is then used to predict the performances of FCSMC. The electric loadability of the FCSMC is determined by considering the dependence of the critical current versus the flux density distribution. A parametric study showed that the analytical model can predict the torque with reasonable precision. Therefore, this model can be used for optimization purposes where reductions in computation time are needed.

A wound-rotor induction machine is artfully coupled to a magnetic gear to achieve a high-torque-density drive system called magnetically geared induction machine (MaGIM). The high-speed rotor of MaGIM is common to both the machine and gear sides. A rotating diode rectifier electrically links the machine's wound rotor and a dc boost winding on the gear side to increase the torque-transmission capabilities of the overall system. The first investigations on a 100 kW-120 r/min MaGIM are promising, since an increase in torque of ~15% could be obtained by inserting the diode rectifier. For fixed speed applications, this induction-machine-based system can be directly supplied from the mains.