Simulation and fuzzy logic analysis on an Off-road HEV

Zhao, Y; Wang, Y

Simulation and fuzzy logic analysis on an Off-road HEV

Zhao, Y Wang, Y

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), 2011, pp. 710 - 714
Issue Date:: 2011-01

Closed Access

	Filename	Description	Size
	2011004543OK.pdf	Published version	398.17 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhao, Y	en_US
dc.contributor.author	Wang, Y	en_US
dc.contributor.editor	NA	en_US
dc.date	2011-04-16	en_US
dc.date.issued	2011-01	en_US
dc.identifier.citation	2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), 2011, pp. 710 - 714	en_US
dc.identifier.isbn	978-1-61284-458-9	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31465
dc.description.abstract	The hybrid electrical vehicle (HEV) has draw researchers' attention recently. 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. Based on the 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	IEEE	en_US
dc.relation.ispartof	2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)	en_US
dc.relation.ispartof	International Conference on Consumer Electronics, Communications and Networks (CECNet)	en_US
dc.relation.isbasedon	10.1109/CECNET.2011.5768709	en_US
dc.rights	© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Simulation and fuzzy logic analysis on an Off-road HEV	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	XianNing, china	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	XianNing, china
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.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2011-04-16	en_US

Abstract:

The hybrid electrical vehicle (HEV) has draw researchers' attention recently. 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. Based on the 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

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/31465