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Performance Of Cognitive Wireless Charger For Near-Field Wireless Charging
Sang-Yoon Chang, Sristi Lakshmi Sravana Kumar and Yih-Chun Hu
University of Colorado, Colorado Springs and Advanced Digital Sciences Center, Advanced Digital Sciences Center, University of Illinois at Urbana-Champaign

Wireless charging provides a convenient way to charge various mobile and IoT devices. State-of-the-art wire-less charging systems operate at a particular frequency and are controlled by explicit networking with the power-receiving devices. However, control by explicit networking is not designed to cope with the variations in the power-receiving devices placements and alignments. This is especially more significant in near-field and pseudo-tightly coupled charging applications as more charging pads are being deployed in the public domains and serving heterogeneous clients. We establish that frequency control achieves better performance gains in inductive-coupling charging applications and is also sensitive to the variations in the placement and alignment between the power-transmitting and the power-receiving coils. In this demo, we show the impact in power transfer performance caused by the variations in the placement and alignment between the power-transmitting and the power-receiving coils and showcase the performance of our cognitive wireless charger (CWC), which adaptively controls the operating frequency in real-time using implicit feedback for optimal operations.