Improved DTC strategy with fuzzy logic controller for induction motor driven electric vehicle

In the near future, zero-emission transportation is anticipated to be implemented in an effort to reduce the major pollutants caused by road transportation. This enormous endeavor will be impossible until all modes of transport are electrified. The induction motor-fed direct torque controller is widely used for EV applications due to its fast torque response and simplicity. However, ripples in torque and flux and current harmonics are the major issues related to DTC. The fuzzy-based DTC replaces the hysteresis comparators and the switching table with fuzzy logic blocks to realize fuzzy DTC control, which improves the system's performance. This paper presents an enhanced fuzzy logic control strategy of induction motor for electric vehicle applications. The main objective is to enhance the system's performance by reducing torque and flux ripples. Both the conventional and fuzzy-based DTC are simulated with MATLAB/SIMULINK, followed by a comparative assessment to validate the effectiveness of the proposed approach for both steady-state and transient operations. The results indicate improvements in torque ripple, flux ripple, and speed ripples by 69%, 10%, and 85%, respectively. Due to the reduction in ripples, there is also an improvement in the THD of the stator current by 17%. During transient, an average improvement of integral square error for torque and speed is 8% and 12%, respectively. Further, the proposed method is validated using EUDC and HWFET drive cycles, demonstrating a reduction in battery energy demand.