DocumentCode :
1940988
Title :
Optimal Real-Time Navigation System: Application to a Hybrid Electrical Vehicle
Author :
Hrazdira, A. ; Cela, A. ; Hamouche, R. ; Reama, A. ; Niculescu, S.I. ; Rezende, B. ; Villedieu, Ch
Author_Institution :
Brno Univ. of Technol., Brno, Czech Republic
fYear :
2012
fDate :
16-19 Sept. 2012
Firstpage :
409
Lastpage :
414
Abstract :
In this paper we present an Optimal Real Time Navigation System (ORTNS) implemented on an Android Smart Device capable of calculating the route to destination based on a permanent Internet connection and information flow obtained from SYTADIN, a traffic Information System. A multi-objective criterion is defined in order to offer the drivers different route to destination parameterization. The ORTNS is not only capable of optimal route to destination calculation with respect to traffic state but also makes the vehicle On-Board energy optimization and/or gas emission reduction possible. As an application example we propose a real time energy management for a Hybrid Electrical Vehicle (HEV) composed of batteries and Super-Capacitors (SC). Based on calculated 3D route to destination and average speeds for each road segment the state of charge (SOC) for batteries and Super-Capacitors (SC) for each receding horizon are optimaly predicted and modified in real time.
Keywords :
hybrid electric vehicles; navigation; real-time systems; smart phones; traffic information systems; 3D route calculation; Android smart device; HEV; Internet; ORTNS; SOC; SYTADIN; gas emission reduction; hybrid electrical vehicle; information flow; multiobjective criterion; optimal real time navigation system; optimal real-time navigation system; real time energy management; route-to-destination calculation; route-to-destination parameterization; state of charge; super-capacitors; traffic information system; vehicle on-board energy optimization; Batteries; Hybrid electric vehicles; Navigation; Optimization; Real-time systems; Routing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
Conference_Location :
Anchorage, AK
ISSN :
2153-0009
Print_ISBN :
978-1-4673-3064-0
Electronic_ISBN :
2153-0009
Type :
conf
DOI :
10.1109/ITSC.2012.6338726
Filename :
6338726
Link To Document :
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