Intelligent Control Strategies for Power Electronic Drives in Electric Vehicle Applications

Abstract

The increasing demand for electric vehicles (EVs) has amplified the importance of power electronics and drive systems, which serve as the foundation of EV propulsion and energy management. Power electronic converters and motor drives not only ensure efficient energy conversion but also enable smooth torque control, regenerative braking, and battery management. This paper investigates the role of intelligent control strategies in enhancing the performance of EV drives. Various motor types, such as induction motors, permanent magnet synchronous motors (PMSM), and switched reluctance motors, are analyzed concerning their compatibility with advanced drive technologies. Furthermore, the abstract examines the integration of artificial intelligence (AI), fuzzy logic, neural networks, and model predictive control in optimizing drive efficiency, reducing losses, and improving fault detection. The increasing reliance on wide-bandgap devices like SiC and GaN is also discussed for high-power-density applications. Special attention is given to the challenges of thermal stress, power quality, and EMI reduction in EV drives. The paper highlights how intelligent control strategies are redefining power electronics in electric mobility, making EVs more reliable, cost-effective, and sustainable.

KEYWORDS: Electric Vehicle Drives, Intelligent Control, Wide-Bandgap Devices, Regenerative Braking, Artificial Intelligence.