000			03605nam a2200421 c 4500
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988			_aSpringer_Engineering_2020
999			_c114575 _d114575 _x1
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008			190801s2020 gw a o |||| 0|eng d
020			_a9783030241278
024	7		_a10.1007/978-3-030-24127-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTL151.6 _b2020 EB
100	1		_aSciarretta, Antonio _eautor _9671589
245	1	0	_aEnergy-Efficient Driving of Road Vehicles : _bToward Cooperative, Connected, and Automated Mobility _cby Antonio Sciarretta, Ardalan Vahidi.
250			_a1st ed. 2020.
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XIX, 294 páginas) _b122 ilustraciones, 64 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aLecture Notes in Intelligent Transportation and Infrastructure _x2523-3440
490	0		_aEngineering (Springer-11647)
505	0		_aEnergy saving potentials of CAVs -- Fundamentals of vehicle modeling -- Perception and Control for Connected and Automated Vehicles -- Route and traffic description -- Energy-efficient route navigation (Eco-routing) -- Energy-efficient speed profiles (Eco-driving) -- Specific scenarios and applications -- Eco-driving Practical Implementation -- Detailed Case Studies -- Parametric optimization method for eco-driving of ICEVs -- Domain of Feasibility of the Analytical Optimal Speed Profiles for EVs.
520	3		_aThis book elaborates the science and engineering basis for energy-efficient driving in conventional and autonomous cars. After covering the physics of energy-efficient motion in conventional, hybrid, and electric powertrains, the book chiefly focuses on the energy-saving potential of connected and automated vehicles. It reveals how being connected to other vehicles and the infrastructure enables the anticipation of upcoming driving-relevant factors, e.g. hills, curves, slow traffic, state of traffic signals, and movements of nearby vehicles. In turn, automation allows vehicles to adjust their motion more precisely in anticipation of upcoming events, and to save energy. Lastly, the energy-efficient motion of connected and automated vehicles could have a harmonizing effect on mixed traffic, leading to additional energy savings for neighboring vehicles. Building on classical methods of powertrain modeling, optimization, and optimal control, the book further develops the theory of energy-efficient driving. In addition, it presents numerous theoretical and applied case studies that highlight the real-world implications of the theory developed. The book is chiefly intended for undergraduate and graduate engineering students and industry practitioners with a background in mechanical, electrical, or automotive engineering, computer science or robotics.
650		7	_2embne _aVehículos _xConsumo de combustible
700	1		_aVahidi, Ardalan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030241261
776	0	8	_iPrinted edition: _z9783030241285
776	0	8	_iPrinted edition: _z9783030241292
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-24127-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _ek _zSI