DocumentCode
1128858
Title
Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends
Author
Salmasi, Farzad Rajaei
Author_Institution
Tehran Univ., Tehran
Volume
56
Issue
5
fYear
2007
Firstpage
2393
Lastpage
2404
Abstract
As hybrid electric vehicles (HEVs) are gaining more popularity in the market, the rule of the energy management system in the hybrid drivetrain is escalating. This paper classifies and extensively overviews the state-of-the-art control strategies for HEVs. The pros and cons of each approach are discussed. From different perspectives, real-time solutions are qualitatively compared. Finally, a couple of important issues that should be addressed in future development of control strategies are suggested. The benefits of this paper are the following: (1) laying down a foundation for future improvements, (2) establishing a basis for comparing available methods, and (3) helping devoted researchers choose the right track, while avoiding doing that which has already been done.
Keywords
energy management systems; fuzzy control; hybrid electric vehicles; optimisation; technological forecasting; control strategies; energy management system; fuzzy logic controller; hybrid drivetrain; hybrid electric vehicles; optimization-based methods; rule-based methods; Acceleration; Automotive engineering; Centralized control; Energy management; Fuel cell vehicles; Fuzzy systems; Global Positioning System; Hybrid electric vehicles; Internal combustion engines; Vehicle driving; Control systems; fuzzy rule base (FRB); global optimization; hybrid vehicles;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2007.899933
Filename
4305534
Link To Document