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Buck-boost converters design for Ultracapacitors and lithium battery mixing in hybrid vehicle applications

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Sep 2010Publisher:IEEEJournal:2010 IEEE Vehicle Power and Propulsion Conference

Authors: Camara, M.B.; Gualous, H.; Dakyo, B.; Nichita, C.; Makany, P.;

doi: 10.1109/vppc.2010.5729140 , 10.1109/icelmach.2010.5608329

Buck-boost converters design for Ultracapacitors and lithium battery mixing in hybrid vehicle applications

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Abstract

This paper presents a careful study related to a more efficient energy management between lithium battery (with rated voltage of 24V) and Ultracapacitors (UC) for Hybrid Electric Vehicle (HEV) applications. This association is due to the present trend in the field, knowing that the major drawback of the HEV is the autonomy problem. Thus, using the Hybrid energy source (such as UC + battery) and with a good energy management improves the HEV performances. In this paper, battery and Ultracapacitors (10 cells of 2.7V in series) are coupled to DC-bus using two buck-boost converters. The main contribution of this paper is focused on DC-bus voltage and currents control strategy based on polynomial (RST) controller. Through some simulations in MATLAB/Simulink software and experimental results, the authors present an improved energy management for HEV.

Related Organizations

University of Le Havre
France

Keywords

Energy storage, [SPI] Engineering Sciences [physics], Buck-boost converter, polynomial control, Dynamic control, [SPI]Engineering Sciences [physics], Batteries, Supercapacitors, ultracapacitors, hybrid electric vehicle, Polynomial control strategy, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Energy management, Electric Hybrid vehicle (HEV), Lithium battery, [SPI.NRJ] Engineering Sciences [physics]/Electric power

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	10
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average