DocumentCode :
3477014
Title :
3D map generation algorithm for energy management system on electric vehicles
Author :
Kichun Jo ; Jaesung Chung ; Myoungho Sunwoo
Author_Institution :
Dept. of Automotive Eng., Hanyang Univ., Seoul, South Korea
fYear :
2013
fDate :
17-20 Nov. 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes a three-dimensional (3D) map generation algorithm for energy management systems on electric vehicles (EV) or hybrid electric vehicles (HEV). The 3D road geometry of the predefined driving path can be crucial information for energy management systems to design an optimal driving strategy. A single GPS receiver can provide the 3D position of a road profile; however, it is not accurate and reliable enough to use for an energy management system. An information fusion algorithm based on the optimal smoother is applied for map generation to improve the accuracy and integrity of the 3D map database. The algorithm developed in this study is verified and evaluated through experimentation using a probe vehicle equipped with GPS and several on-board sensors. The experimental results show that the map generation algorithm performance is sufficiently accurate and reliable for an energy management system.
Keywords :
energy management systems; hybrid electric vehicles; sensor fusion; smoothing methods; 3D map database; 3D map generation algorithm; 3D position; 3D road geometry; EV; HEV; electric vehicles; energy management system; hybrid electric vehicles; information fusion algorithm; on-board sensors; optimal driving strategy; optimal smoother; predefined driving path; probe vehicle; road profile; single GPS receiver; three-dimensional map generation algorithm; Energy management; Geometry; Global Positioning System; Roads; Sensors; Three-dimensional displays; Vehicles; 3D map; GPS; information fusion; optimal smoother; vehicle on-board sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Vehicle Symposium and Exhibition (EVS27), 2013 World
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/EVS.2013.6914807
Filename :
6914807
Link To Document :
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