LEADER 04513nam 22006255 450 001 9910366586003321 005 20200704141930.0 010 $a3-030-24127-0 024 7 $a10.1007/978-3-030-24127-8 035 $a(CKB)4100000008870073 035 $a(MiAaPQ)EBC5845122 035 $a(DE-He213)978-3-030-24127-8 035 $a(EXLCZ)994100000008870073 100 $a20190801d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEnergy-Efficient Driving of Road Vehicles $eToward Cooperative, Connected, and Automated Mobility /$fby Antonio Sciarretta, Ardalan Vahidi 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (306 pages) 225 1 $aLecture Notes in Intelligent Transportation and Infrastructure,$x2523-3440 311 $a3-030-24126-2 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis book elaborates the science and engineering basis for energy-efficient driving in conventional and autonomous cars. After covering the physics of energy-efficient motion in conventional, hybrid, and electric powertrains, the book chiefly focuses on the energy-saving potential of connected and automated vehicles. It reveals how being connected to other vehicles and the infrastructure enables the anticipation of upcoming driving-relevant factors, e.g. hills, curves, slow traffic, state of traffic signals, and movements of nearby vehicles. In turn, automation allows vehicles to adjust their motion more precisely in anticipation of upcoming events, and to save energy. Lastly, the energy-efficient motion of connected and automated vehicles could have a harmonizing effect on mixed traffic, leading to additional energy savings for neighboring vehicles. Building on classical methods of powertrain modeling, optimization, and optimal control, the book further develops the theory of energy-efficient driving. In addition, it presents numerous theoretical and applied case studies that highlight the real-world implications of the theory developed. The book is chiefly intended for undergraduate and graduate engineering students and industry practitioners with a background in mechanical, electrical, or automotive engineering, computer science or robotics. 410 0$aLecture Notes in Intelligent Transportation and Infrastructure,$x2523-3440 606 $aTransportation engineering 606 $aTraffic engineering 606 $aAutomotive engineering 606 $aApplication software 606 $aElectrical engineering 606 $aTransportation Technology and Traffic Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T23120 606 $aAutomotive Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T17047 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 0$aAutomotive engineering. 615 0$aApplication software. 615 0$aElectrical engineering. 615 14$aTransportation Technology and Traffic Engineering. 615 24$aAutomotive Engineering. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aCommunications Engineering, Networks. 676 $a629.28 676 $a629.204 700 $aSciarretta$b Antonio$4aut$4http://id.loc.gov/vocabulary/relators/aut$0599732 702 $aVahidi$b Ardalan$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910366586003321 996 $aEnergy-Efficient Driving of Road Vehicles$92007115 997 $aUNINA