A Communication-Free and Model-Free Predictive Control for a Dynamic IPT System With High Power Factor for Electric Vehicles

Abstract

Facilitating charging of Electric Vehicles (EVs), dynamic Inductive Power Transfer (IPT) technology has recently gained considerable attention. Yet, stabilizing the transferred power under different load resistances and coupling coefficients is still an issue. On the other hand, realizing high power factor (PF) operation in constant voltage (CV) operation increases the life of equipment in the system. A new model-free predictive control (MFPC) for DWPT systems is proposed in this paper based on the frequency optimization. The imaginary part of the input impedance is expressed as a function mega parameter. The control system becomes independent of the system parameter by calculating the mega parameters. Also, the group-based control approach used in the MFPC method, reduces the computing burden, improves the system dynamics, and avoids unsafe operating points. Moreover, the system output voltage is regulated by adjusting the duty cycle of the inverter. Simulation and experimental results validate the effectiveness of the proposed method.

Keywords

• Constant voltage
• dynamic inductive power transfer
• electric vehicles
• frequency optimization
• group-based control
• model-free predictive control