Abstract The dual power source of a plug-in hybrid electric vehicle (PHEV) requires a high level control strategy in order to establish a power split decision that will minimize fuel consumption while taking full advantage of the embedded source of electrical energy. Literature shows that the optimal control of the power split is greatly influenced by the future trip to be made and that blended strategies are more appropriate regarding battery usage throughout a trip. This paper proposes a blended strategy for a PHEV which uses a driving pattern recognition scheme that allows control adaptation in real-time regarding current driving conditions.
Blended Power Management Strategy Using Pattern Recognition for a Plug-in Hybrid Electric Vehicle
International Journal of Intelligent Transportation Systems Research ; 14 , 2 ; 101-114
04.11.2014
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Plug-in hybrid electric vehicles , Energy management , Blended strategy , Genetic algorithm , Driving pattern recognition , Supervised classification Engineering , Electrical Engineering , Automotive Engineering , Robotics and Automation , Computer Imaging, Vision, Pattern Recognition and Graphics , Civil Engineering , User Interfaces and Human Computer Interaction
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