000 04258nam a22006015i 4500
001 978-3-030-24127-8
003 DE-He213
005 20220801213735.0
007 cr nn 008mamaa
008 190801s2020 sz | s |||| 0|eng d
020 _a9783030241278
_9978-3-030-24127-8
024 7 _a10.1007/978-3-030-24127-8
_2doi
050 4 _aTA1001-1280
050 4 _aHE331-380
072 7 _aTNH
_2bicssc
072 7 _aTEC009020
_2bisacsh
072 7 _aTNH
_2thema
082 0 4 _a629.04
_223
100 1 _aSciarretta, Antonio.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934029
245 1 0 _aEnergy-Efficient Driving of Road Vehicles
_h[electronic resource] :
_bToward Cooperative, Connected, and Automated Mobility /
_cby Antonio Sciarretta, Ardalan Vahidi.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIX, 294 p. 122 illus., 64 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Intelligent Transportation and Infrastructure,
_x2523-3459
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 _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 0 _aTransportation engineering.
_93560
650 0 _aTraffic engineering.
_915334
650 0 _aAutomotive engineering.
_934030
650 0 _aApplication software.
_934031
650 0 _aTelecommunication.
_910437
650 1 4 _aTransportation Technology and Traffic Engineering.
_932448
650 2 4 _aAutomotive Engineering.
_934032
650 2 4 _aComputer and Information Systems Applications.
_934033
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aVahidi, Ardalan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934034
710 2 _aSpringerLink (Online service)
_934035
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030241261
776 0 8 _iPrinted edition:
_z9783030241285
776 0 8 _iPrinted edition:
_z9783030241292
830 0 _aLecture Notes in Intelligent Transportation and Infrastructure,
_x2523-3459
_934036
856 4 0 _uhttps://doi.org/10.1007/978-3-030-24127-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75542
_d75542