NDLI: A selection algorithm for power controller unit of hybrid vehicles

Content Provider	IEEE Xplore Digital Library
Author	Chin, H.H. Jafari, A.A.
Copyright Year	2011
Description	Author affiliation: Electrical Engineering and Computer Science Department, New York Institute of Technology, Old Westbury, New York 11568 (Chin, H.H.; Jafari, A.A.)
Abstract	This paper presents an adaptive power management control strategy that is based on selection algorithm for controlling gas engines and electric motor torque. The state of the art hybrid vehicle technology determines the instantaneous power split in order to increase energy efficiency. The selection algorithm, contained by the power controller unit, uses inputs of analog sensors along with commands from driver's desired speed and makes a selection of outputs from preassigned control states. These states are stored in a knowledge base for revealing engine and motor mixed control strategies. The objectives of the control strategies are to minimize fuel consumption, reduce engine-out emissions, maintain higher level safety, and keep passenger and driver's comfort as the current system.
Starting Page	324
Ending Page	328
File Size	593082
Page Count	5
File Format	PDF
ISBN	9781457721984
ISSN	21530009
e-ISBN	9781457721977
DOI	10.1109/ITSC.2011.6082910
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Engines Knowledge based systems Algorithm design and analysis Hybrid power systems Torque Process control Power Controller Hybrid Vehicles Intelligent Vehicles Knowledge Base Selection Algorithm
Content Type	Text
Resource Type	Article

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