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.
