DocumentCode :
57083
Title :
Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles: A Survey
Author :
Malikopoulos, Andreas A.
Author_Institution :
Energy & Transp. Sci. Div., Oak Ridge Nat. Lab., Oak Ridge, TN, USA
Volume :
15
Issue :
5
fYear :
2014
fDate :
Oct. 2014
Firstpage :
1869
Lastpage :
1885
Abstract :
The growing necessity for environmentally benign hybrid propulsion systems has led to the development of advanced power management control algorithms to maximize fuel economy and minimize pollutant emissions. This paper surveys the control algorithms for hybrid electric vehicles (HEVs) and plug-in HEVs (PHEVs) that have been reported in the literature to date. The exposition ranges from parallel, series, and power split HEVs and PHEVs and includes a classification of the algorithms in terms of their implementation and the chronological order of their appearance. Remaining challenges and potential future research directions are also discussed.
Keywords :
electric propulsion; fuel economy; hybrid electric vehicles; power control; environmentally benign hybrid propulsion systems; fuel economy; hybrid electric vehicles; parallel PHEVs; plug-in HEVs; pollutant emissions; power split PHEVs; series PHEVs; supervisory power management control algorithms; Batteries; Engines; Fuels; Hybrid electric vehicles; Mechanical power transmission; Optimization; Hybrid electric vehicles (HEVs); plug-in HEVs (PHEVs); supervisory power management control algorithms;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2014.2309674
Filename :
6781036
Link To Document :
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