Intelligent Control of Connected Plug-in Hybrid Electric Vehicles presents the development of real-time intelligent control
systems for plug-in hybrid electric vehicles, which involves control-oriented modelling, controller design, and performance
evaluation. The controllers outlined in the book take advantage of advances in vehicle communications technologies, such as
global positioning systems, intelligent transportation systems, geographic information systems, and other on-board sensors,
in order to provide look-ahead trip data. The book contains simple and efficient models and fast optimization algorithms for
the devised controllers to address the challenge of real-time implementation in the design of complex control systems. Using
the look-ahead trip information, the authors of the book propose intelligent optimal model-based control systems to minimize
the total energy cost, for both grid-derived electricity and fuel. The multilayer intelligent control system proposed consists
of trip planning, an ecological cruise controller, and a route-based energy management system. An algorithm that is designed
to take advantage of previewed trip information to optimize battery depletion profiles is presented in the book. Different
control strategies are compared and ways in which connecting vehicles via vehicle-to-vehicle communication can improve system
performance are detailed.
Intelligent Control of Connected Plug-in Hybrid Electric Vehicles is a useful
source of information for postgraduate students and researchers in academic institutions participating in automotive research
activities. Engineers and designers working in research and development for automotive companies will also find this book
Advances in Industrial Control reports and encourages the transfer of technology in control engineering.
The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity
for researchers to present an extended exposition of new work in all aspects of industrial control.