Model Predictive Direct Torque Control and Fuzzy Logic Energy Management for Multi Power Source Electric Vehicles

Abstract

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.

The simulation analysis of stator flux droop minimization in direct torque control open-end winding induction machine

“…With a minimum sample rate of 50µs for a DTC system using a dSPACE-based controller, there is a chance that the torque will move quickly between the upper and lower band, causing overshoot and undershoot without indication [18]. There has been a lot of interest in a contemporary technique that combines DTC with predictive control because it can lower torque ripple and maintain consistent switching frequency [19]- [21]. To avoid increased torque and flux ripple, this system must properly select the weighting parameters.…”

Research on self-coupling PID for multi-driven synchronization control with ring adjacent compensation

“…With the development of modern industrial technology, the using of multi-motor synchronous control is increasing, such as electric cars, 1,2 aerospace, and so on, 3,4 especially for the high-precision high-speed systems, and cooperative control is the central issue. 5,6 In China and abroad, the number of studies that focus on multi-motor synchronous control technology is growing more and more. However, the early synchronous control is primarily based on the mechanical connection, which is simple, but the accuracy of synchronization is low.…”

Real-Time Implementation and Control of Multi-Source Electric Vehicle Traction Motor under Various Drive Conditions

“…The cases of regenerative braking and load torque change were not analyzed in that study. Similar to [22], a hybrid fuel cell and batteries system was suggested in [24] with a fuzzy logic-based energy-management system to generate the reference power output of the fuel cell. Meanwhile, a PI controller served as both the voltage and current controller for the BU to keep a constant voltage across the DC bus and as the current controller for the fuel cell.…”

“…The same system with a BU and SC was implemented in [25] with fuzzy energy management, whose function was to produce the reference power demand of the SC. Similar to the control in [24], PI controllers were used to maintain the DC link voltage. The system was executed in real time using the OPAL-RT LAB simulator.…”