Abstract:
In this study, we conducted a MATLAB-based simulation of an electric vehicle (EV). The
simulation involved the careful selection of EV subsystems, with a particular focus on
achieving a more dependable and resilient induction motor-based drive system. We
examined various EV dynamics, considering real-world driving experiences, to attain
desired speed and torque outcomes. To enhance the EV's performance, we implemented a
Hysteresis Band-based Direct Torque Control (DTC) system. This system generates
switching pulses through the space vector modulation (SVM) technique for a three-phase
inverter powered by a lithium-ion battery pack. DTC offers improved transient response
and high torque accuracy while employing a straightforward control approach that directly
manages motor torque and flux. This eliminates the need for complex coordinate
transformations. DTC seamlessly integrates with regenerative braking systems, enabling
efficient energy recovery during deceleration. This contributes significantly to extending
the vehicle's range and enhancing energy efficiency. We validated the regenerative system alongside the four-quadrant operation of the induction motor by examining battery State of Charge (SOC) in relation to speed, torque, and power requirements.
Our research provides valuable insights into the dynamics of various EV models, allowing
for an in-depth analysis of their parameters and their interplay with other components. This study will help to enhance the capabilities of EV by implementing various designs and case studies. This knowledge is instrumental in designing more efficient and robust EV systems.
