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This book discusses, for the first time, wireless power transfer in
the ocean environment. Topics covered include power electronic
techniques, advanced control strategies, as well as classic and
emerging applications such as smart ocean energy systems and
wireless power transfer and charging of underwater autonomous
vehicles. Emerging research topics are presented, along with
methodologies, approaches, and industrial development of
intelligent and energy-efficient techniques. Apart from the basic
principles with an emphasis on inductive power transfer and
mathematical analysis, the book discusses the emerging
implementation for underwater wireless power transfer such as
energy encryption, power and data transfer through common links,
and secured data- and cyber-security. Specifically, the book
comprehensively introduces significant discussions on UWPT coil
theoretical and experimental analysis in seawater, optimal design,
and intelligent controls. For example, since fast communication is
not viable in an underwater environment, the proposed book
discusses Maximum Power Efficiency Tracking (MPET) control, which
achieves a maximum power efficiency (>85%) without communication
or feedback from the transmitting side of the UWPT system. A
k-nearest-neighbors-based machine learning approach is used to
estimate the coupling coefficiency between the coils. This machine
learning-based intelligent control method can offer important
guidance for graduate students, academic researchers, and
industrial engineers who want to understand the working principles
and realize the developing trends in underwater wireless power
transfer. Finally, the book includes details on the modeling and
design of a smart ocean energy system--a new type of power
harvesting system designed to convert ocean energy into
electricity, which has the capability of making underwater wireless
power connections with distributed marine devices.
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