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710	2		_aSpringerLink (Online service) _9106996
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020			_a9783030003142
024	7		_a10.1007/978-3-030-00314-2 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTL221.15 _b2019 EB
100	1		_aTaghavipour, Amir _eautor _9671156
245	1	0	_aIntelligent control of connected plug-in hybrid electric vehicles _cby Amir Taghavipour, Mahyar Vajedi, Nasser L. Azad
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (XIV, 198 páginas) _b128 ilustraciones, 116 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aAdvances in Industrial Control _x1430-9491
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Related Work -- High-Fidelity Model -- Part I: Energy Management Approach -- Non-linear Model Predictive Control -- Multi-parametric Predictive Control -- Control-relevant Parameter Estimated Strategy -- Part II: Smart Ecological Supervisory Controls -- Real-time Trip Planning -- Route-based Supervisory Controls -- Ecological Cruise Control -- Conclusions.
520	3		_aIntelligent 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 of interest. 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.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _9667309 _aAutomóviles híbridos
650		7	_2embne _aAutomóviles _xInnovaciones tecnológicas
650		7	_2embne _aAutomóviles _xControl automático
700	1		_aVajedi, Mahyar. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aAzad, Nasser L. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030003135
776	0	8	_iPrinted edition: _z9783030003159
776	0	8	_iPrinted edition: _z9783030131012
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-00314-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b10/2019 _eel _zSI