東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Energy-efficient driving of road veh...

Sciarretta, Antonio.

FindBook

Google Book

Amazon

博客來

Energy-efficient driving of road vehicles = toward cooperative, connected, and automated mobility /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Energy-efficient driving of road vehicles/ by Antonio Sciarretta, Ardalan Vahidi.
其他題名:	toward cooperative, connected, and automated mobility /
作者:	Sciarretta, Antonio.
其他作者:	Vahidi, Ardalan.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xix, 294 p. :ill. (some col.), digital ;24 cm.
內容註:	Energy 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.
Contained By:	Springer eBooks
標題:	Automobiles - Fuel consumption. -
電子資源:	https://doi.org/10.1007/978-3-030-24127-8
ISBN:	9783030241278

Energy-efficient driving of road vehicles = toward cooperative, connected, and automated mobility /
Sciarretta, Antonio.

Energy-efficient driving of road vehiclestoward cooperative, connected, and automated mobility /[electronic resource] :by Antonio Sciarretta, Ardalan Vahidi. - Cham :Springer International Publishing :2020. - xix, 294 p. :ill. (some col.), digital ;24 cm. - Lecture notes in intelligent transportation and infrastructure,2523-3440. - Lecture notes in intelligent transportation and infrastructure..

Energy 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.

This 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.

ISBN: 9783030241278

Standard No.: 10.1007/978-3-030-24127-8doiSubjects--Topical Terms:

808475
Automobiles
--Fuel consumption.

LC Class. No.: TL151.6 / .S35 2020

Dewey Class. No.: 629.204

Energy-efficient driving of road vehicles = toward cooperative, connected, and automated mobility /
LDR:02992nmm a2200337 a 4500 001 2213651
003 DE-He213
005 20200218135006.0
006 m d
007 cr nn 008maaau
008 201117s2020 sz s 0 eng d
020 $a 9783030241278 $q (electronic bk.)
020 $a 9783030241261 $q (paper)
024 7 $a 10.1007/978-3-030-24127-8 $2 doi
035 $a 978-3-030-24127-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TL151.6 $b .S35 2020
072 7 $a TNH $2 bicssc
072 7 $a TEC009020 $2 bisacsh
072 7 $a TNH $2 thema
082 0 4 $a 629.204 $2 23
090 $a TL151.6 $b .S416 2020
100 1 $a Sciarretta, Antonio. $3 896910
245 1 0 $a Energy-efficient driving of road vehicles $h [electronic resource] : $b toward cooperative, connected, and automated mobility / $c by Antonio Sciarretta, Ardalan Vahidi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xix, 294 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in intelligent transportation and infrastructure, $x 2523-3440
505 0 $a Energy 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 $a This 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 $a Automobiles $x Fuel consumption. $3 808475
650 0 $a Automobiles $x Environmental aspects. $3 570619
650 0 $a Automated vehicles. $3 3443235
650 1 4 $a Transportation Technology and Traffic Engineering. $3 2153276
650 2 4 $a Automotive Engineering. $3 928032
650 2 4 $a Information Systems Applications (incl. Internet) $3 1565452
650 2 4 $a Communications Engineering, Networks. $3 891094
700 1 $a Vahidi, Ardalan. $3 1908221
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in intelligent transportation and infrastructure. $3 3379568
856 4 0 $u https://doi.org/10.1007/978-3-030-24127-8
950 $a Engineering (Springer-11647)