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
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