Model-Free Predictive Control and Modified Multi-Phase Shift PWM Technique for a Semi-Dynamic Wireless EV Charging System

Abstract

This research article proposes Model-Free Predictive Control and a Modified Multi-Phase shift Pulse Width Modulation technique for a semi-dynamic Wireless Resonant Inductive Power Transfer for an Electric Vehicle charging system. The semi-dynamic wireless Electric Vehicle charging system recently gained considerable attention in facilitating the user-friendly Electric Vehicle charging infrastructure. The airgap coupling factor and load resistance are significant parameters of the WRIPT system and highly influence power transfer efficiency. By operating the system in constant voltage mode, and realizing the high-power factor, the life span of the equipment is enhanced. The Model-Free Predictive Control scheme addresses the dynamic variations in the system power transfer, by automatic resonant frequency optimization control technique. The input impedance (imaginary part) is considered to introduce three mega parameters into the control functions, it makes the system control independent. The objective is to operate the receiver coil of the EV online at a resonant frequency with the transmitter coil, even when the receiver coil is in a semi-dynamic moving state. Especially, when the receiver coil shifts to align between two transmitter coils on the e-lane, to achieve continuous charging. The group-based frequency control technique is used in the proposed Model-Free Predictive Control, it reduces the dynamic computation burden, enhances the system accuracy, and response speed, and ensures safe operation. The proposed control technique is experimented with to investigate its effectiveness.

Keywords

• Wireless resonant inductive power transfer (WRIPT)
• modified multi-phase shift PWM
• model-free predictive control (MFPC)
• voltage regulation
• high power factor
• frequency optimization