کنفرانس مهندسی برق ایران

صفحه اصلی / سی و دومین کنفرانس بین المللی مهندسی برق

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

نویسندگان :

Kioumars Shahriari¹ Salar Sadeghian² Sahand Fardadidokht Fooman³ Adib Abrishamifar⁴

1- دانشگاه علم و صنعت ایران 2- دانشگاه علم و صنعت ایران 3- دانشگاه علم و صنعت ایران 4- دانشگاه علم و صنعت ایران

کلمات کلیدی :

Dynamic Wireless Charging،Wireless Power Transfer،Nonlinear Model Predictive Control،variations in mutual inductance،Electric Vehicle Charger،Primary-Side Wireless Control

چکیده :

Dynamic Wireless Charging (DWC) system offer a promising 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 novel 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) systems for electric vehicles 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.