Simulation and fuzzy control strategy analysis on 4WD hybrid electric off-road vehicle

Zhu, S; Wang, Y

Simulation and fuzzy control strategy analysis on 4WD hybrid electric off-road vehicle

Zhu, S Wang, Y

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Publisher:: Trans Tech
Publication Type:: Journal Article
Citation:: Advanced Materials Research, 2011, 291-294 pp. 1568 - 1571
Issue Date:: 2011-01

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Field	Value	Language
dc.contributor.author	Zhu, S	en_US
dc.contributor.author	Wang, Y	en_US
dc.date.issued	2011-01	en_US
dc.identifier.citation	Advanced Materials Research, 2011, 291-294 pp. 1568 - 1571	en_US
dc.identifier.issn	1022-6680	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30719
dc.description.abstract	Since last century, the exhausts of fossil fuel energy, excessive gas emission and global warming have been calling for the alternative methods to generate energy for vehicles urgently. The hybrid electrical vehicle (HEV), which is considered as a potential solution to solve this problem, has draw researchers attention. This paper mainly discusses the control strategy of HEV based on fuzzy logic. By using this control strategy, the work space and work efficiency of engine are optimized, which play a vital role on improvement of the operation performance of HEV. Meanwhile, the strategy has been applied to optimize the power balance of battery, which includes the characteristics of battery in the controller. Though the model based on Matlab/Simulink, the simulation results confirmed the excellent effectiveness of our control strategies, which optimized the fuel consumption of engine and the power balance of battery successfully.	en_US
dc.publisher	Trans Tech	en_US
dc.relation.ispartof	Advanced Materials Research	en_US
dc.relation.isbasedon	10.4028/www.scientific.net/AMR.291-294.1568	en_US
dc.title	Simulation and fuzzy control strategy analysis on 4WD hybrid electric off-road vehicle	en_US
dc.type	Journal Article
utslib.citation.volume	291-294	en_US
utslib.for	0902 Automotive Engineering	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.volume	291-294	en_US

Abstract:

Since last century, the exhausts of fossil fuel energy, excessive gas emission and global warming have been calling for the alternative methods to generate energy for vehicles urgently. The hybrid electrical vehicle (HEV), which is considered as a potential solution to solve this problem, has draw researchers attention. This paper mainly discusses the control strategy of HEV based on fuzzy logic. By using this control strategy, the work space and work efficiency of engine are optimized, which play a vital role on improvement of the operation performance of HEV. Meanwhile, the strategy has been applied to optimize the power balance of battery, which includes the characteristics of battery in the controller. Though the model based on Matlab/Simulink, the simulation results confirmed the excellent effectiveness of our control strategies, which optimized the fuel consumption of engine and the power balance of battery successfully.

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http://hdl.handle.net/10453/30719