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Expandable and flexible wireless power transfer (WPT) systems have been in demand in numerous industry applications, especially for dynamic chargers in electric vehicles. Those systems, however, brings about certain technical issues such as modulation technique and topology of the transmitter-side, and transferred power profile of the transmitters. In this paper, a new converter topology to drive closely spaced segmented Dynamic Wireless Power Transfer (DWPT) systems is proposed. The proposed converter can be expanded to cater for different number of transmitters, and it can provide a uniform transferred power profile throughout the path of transmitter coils, known as track. Furthermore, this study focuses on analyzing the operation of the converter and the effect of closely spaced transmitters over its operation. To show the effectiveness of the proposed topology and its modulation technique, the converter is simulated and experimentally tested using a laboratory prototype. The results are compared and analyzed, and their close agreement shows the validity of the proposed technique.

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This paper introduces a method for efficient and robust free-positioning wireless power transfer (WPT) in a large area, which can be applied to many use cases including wireless charging of industrial robots, drones, or electric scooters. In these large area WPT applications, multiple transmitters (Txs) are placed in a pad-like area, and the transmitter coils are optimally excited to enable robust and efficient power transfer to movable receivers within the charging area. The proposed configuration enables almost continuous magnetic flux path from a set of Tx coil(s) to another set of Tx coil(s) through the receiver coil ferrite core. Therefore, efficient power transfer is ensured throughout the whole Tx coverage area. The paper introduces a novel method to detect the position and orientation of the receiver only from the Tx-side measurements. The proposed solution is experimentally verified in a laboratory prototype, and the experimental results show DC-to-DC efficiency of 91% with only 1% variation in most of the Rx positions.

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