Primary-Side Nonlinear Model Predictive Control for Dynamic Wireless Power Transfer System in Electric Vehicles

The Dynamic Wireless Charging (DWC) system offer a favorable solution to Electric Vehicle (EV) charging limitations, allowing for on-the-go charging. However, such systems usually require complex control strategies that involve communication between the primary and secondary systems. These requirements can result in higher costs, increased system complexity, and energy losses. In this paper, we present a new Primary-Side Nonlinear Model Predictive Control (NMPC) method that operates based on the identification of load characteristics and which has been designed specifically for use in Wireless Power Transfer (WPT) system for EVs to counteract variations in mutual inductance caused by coil movement. The NMPC is favored over conventional control techniques like the traditional Proportional Integral Derivative (PID) method thanks to its ability to anticipate future events and adjust control inputs proactively for robust and dynamic system response. The NMPC exhibits superior performance by yielding faster control response, decreased overshoot, and enhanced stability. Systematic simulations validate the proposed solution's efficacy.