DocumentCode :
1653053
Title :
Optimal energy management and recovery for FEV
Author :
Knoedler, Kosmas ; Steinmann, Jochen ; Jones, Stephen ; Huss, Arno ; Kural, Emre ; Bringmann, Oliver ; Zimmermann, Jochen ; Laversanne, Sylvain ; Sanchez, David
Author_Institution :
Chassis Syst. Control, Eng. Adv. Dev., Robert Bosch GmbH, Heilbronn, Germany
fYear :
2012
Firstpage :
683
Lastpage :
684
Abstract :
This paper briefly describes the latest achievements of a new functional vehicle system to overcome the range anxiety problem of Fully Electric Vehicles (FEV). This is primarily achieved by integrated control and operation strategies to optimize the driving range. The main focus of these control strategies is cooperated electric drivetrain and regenerative braking system. The diverse source of information with on-board and off-board sensors, including navigation system, satellite information, car-to-car, car-to-infrastructure communication and radar and camera systems are primarily utilized to maximize the energy efficiency and correspondingly the range of the FEV.
Keywords :
electric drives; electric vehicles; energy management systems; regenerative braking; FEV recovery; camera systems; car-to-infrastructure communication; electric drivetrain; energy efficiency; fully electric vehicles; navigation system; off-board sensors; on-board sensors; optimal energy management; radar systems; regenerative braking system; satellite information; Adaptation models; Computational modeling; Computer architecture; Energy management; Satellites; Sensors; Vehicles; Energy manager; FEV range anxiety; GPS; Hybrid Electric Vehicles (HEV); all electric range; car-to-car; car-to-infrastructure; control; environmental sensors; network architecture; operation strategies; radar; regenerative vacuum free braking; safety; satellite navigation; vehicle simulation; video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2012
Conference_Location :
Dresden
ISSN :
1530-1591
Print_ISBN :
978-1-4577-2145-8
Type :
conf
DOI :
10.1109/DATE.2012.6176557
Filename :
6176557
Link To Document :
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