期刊
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
卷 6, 期 2, 页码 843-854出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JESTPE.2017.2735964
关键词
DC-DC converter; k-nearest neighbor (kNN); maximum power efficiency tracking (MPET); smart ocean system; undersea wireless power transfer (UWPT)
资金
- National Science Foundation [1647209]
- Eversource Energy Center [6200980]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1647209] Funding Source: National Science Foundation
In this paper, a detailed analysis that yields in-depth insight into the design of an undersea wireless power transfer (UWPT) system is presented. Based on the analytical results, a methodology for an optimized coil design to increase the power transfer efficiency is presented. Owing to the constant motion experienced by a UWPT system, a necessary feature is the ability to operate at a multitude of distances without the need for manual tuning to maintain high efficiency. To address this, we propose a novel maximum power-efficiency tracking (MPET) method that uses k-nearest neighbors to estimate the system's coupling coefficient and tracks the peak efficiency (> 85%) through an adaptive converter control. Simulation and experimental test results validate the effectiveness and robustness of MPET in achieving maximum WPT efficiency under a dynamic and uncertain undersea environment.
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