DocumentCode :
666423
Title :
Adaptive control of hybrid vehicle depending on driving cycle analysis
Author :
Chrenko, Daniela ; Ravey, Alexandre ; Djerdir, A. ; Miraoui, Abdellatif
Author_Institution :
Inst. Super. de l´Automobile et des Transp., Univ. of Burgundy, Nevers, France
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
4552
Lastpage :
4557
Abstract :
The most adapted energy management in hybrid electric vehicles depends on the current driving situation. This paper describes a novel control strategy based on driving cycle recognition. A Driving Cycle Recognition Algorithm (DCRA) is firstly presented. It allows recognition between three driving modes: urban, suburban and highway. A real-time control strategy is then defined based on fuzzy logic using DCRA. Results are presented and compared to fuzzy logic controllers parametrized for urban or highway cycles.
Keywords :
adaptive control; fuzzy control; hybrid electric vehicles; road vehicles; DCRA; adaptive control; driving cycle analysis; driving cycle recognition algorithm; driving modes; energy management; fuzzy logic controllers; highway cycles; hybrid electric vehicles; urban cycles; Batteries; Energy management; Fuels; Fuzzy logic; Ice; Internal combustion engines; Vehicles; Energy Management; Fuzzy Logic; Parallel Hybrid Electric vehicles; Vehicle Driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699869
Filename :
6699869
Link To Document :
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