NDLI: Intelligent energy management of a fuel cell vehicle based on traffic condition recognition

Content Provider	Springer Nature Link
Author	Kandi Dayeni, Mohsen Soleymani, Mehdi
Copyright Year	2016
Abstract	This paper presents a methodological approach for intelligent control of fuel cell vehicles based on traffic condition recognition. For this purpose, employing an extensive real driving pattern database, a six-mode representative traffic condition is developed for the city of Tehran by means of fuzzy subtractive clustering approach. Subsequently, an adaptive fuzzy logic controller is designed, with the assistance of particle swarm optimization algorithm. Finally, a traffic condition recognition algorithm is proposed to establish the most probable driving mode. The fuzzy logic controller is employed as a real-time controller and its modes are singled out with respect to the traffic condition recognition algorithm results. Moreover, effectiveness of the proposed controller has been examined during several real driving periods containing various traffic conditions. Simulation results prove successful performance of the proposed intelligent controller under different traffic conditions according which a nine-to-seventeen percent fuel consumption improvement has been achieved.
Starting Page	1945
Ending Page	1960
Page Count	16
File Format	PDF
ISSN	1618954X
Journal	Clean Technologies and Environmental Policy
Volume Number	18
Issue Number	6
e-ISSN	16189558
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-02-16
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Traffic condition Intelligent energy management Fuzzy subtractive clustering Adaptive fuzzy Sustainable Development Industrial Chemistry/Chemical Engineering Industrial and Production Engineering Environmental Engineering/Biotechnology Environmental Economics
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Environmental Engineering Economics and Econometrics Business, Management and Accounting Management, Monitoring, Policy and Law

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