An adaptive power-split strategy for battery-supercapacitor powertrain-design, simulation, and experiment

Sun, L; Feng, K; Chapman, C; Zhang, N

An adaptive power-split strategy for battery-supercapacitor powertrain-design, simulation, and experiment

Sun, L

Feng, K Chapman, C Zhang, N

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Power Electronics, 2017, 32 (12), pp. 9364 - 9375
Issue Date:: 2017-12-01

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Field	Value	Language
dc.contributor.author	Sun, L https://orcid.org/0000-0003-2054-6695	en_US
dc.contributor.author	Feng, K	en_US
dc.contributor.author	Chapman, C	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.date.issued	2017-12-01	en_US
dc.identifier.citation	IEEE Transactions on Power Electronics, 2017, 32 (12), pp. 9364 - 9375	en_US
dc.identifier.issn	0885-8993	en_US
dc.identifier.uri	http://hdl.handle.net/10453/123513
dc.description.abstract	© 1986-2012 IEEE. Electric vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to their unique power-sharing capabilities. A hybrid energy storage system (HESS) can effectively reduce power stress that would, otherwise, be applied to batteries alone, and whose weight and size is still a common concern when competing against conventional internal-combustion-engine-powered cars. In this paper, a high-level algorithm is developed to adaptively split the load between two sources for an EV adopting HESS under real-life load fluctuations. A converter - supercapacitor pack (SP) coupled HESS upon which such an algorithm is deployed on, is proposed to divert excess power into the SP via a smart power converter, which is located in between in order to regulate both behaviors. A power-split strategy is designed to track real-time load profiles and determine one important variable: The cutoff frequency. As a consequence, relatively higher frequency portion of the load power gets channeled to the SP, and the remaining less-varying power demand is sent to the BP based on the fundamental energy-balancing equation. A simplified HESS model is developed in MATLAB, and the real-time power-split algorithm is coded using Labview and verified on a test rig. Both simulation and experimental results prove its effectiveness in coping with even the harshest driving scenarios in real life.	en_US
dc.relation.ispartof	IEEE Transactions on Power Electronics	en_US
dc.relation.isbasedon	10.1109/TPEL.2017.2653842	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	An adaptive power-split strategy for battery-supercapacitor powertrain-design, simulation, and experiment	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	32	en_US
utslib.for	0906 Electrical and Electronic 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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
pubs.issue	12	en_US
pubs.publication-status	Published	en_US
pubs.volume	32	en_US

Abstract:

© 1986-2012 IEEE. Electric vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to their unique power-sharing capabilities. A hybrid energy storage system (HESS) can effectively reduce power stress that would, otherwise, be applied to batteries alone, and whose weight and size is still a common concern when competing against conventional internal-combustion-engine-powered cars. In this paper, a high-level algorithm is developed to adaptively split the load between two sources for an EV adopting HESS under real-life load fluctuations. A converter - supercapacitor pack (SP) coupled HESS upon which such an algorithm is deployed on, is proposed to divert excess power into the SP via a smart power converter, which is located in between in order to regulate both behaviors. A power-split strategy is designed to track real-time load profiles and determine one important variable: The cutoff frequency. As a consequence, relatively higher frequency portion of the load power gets channeled to the SP, and the remaining less-varying power demand is sent to the BP based on the fundamental energy-balancing equation. A simplified HESS model is developed in MATLAB, and the real-time power-split algorithm is coded using Labview and verified on a test rig. Both simulation and experimental results prove its effectiveness in coping with even the harshest driving scenarios in real life.

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

http://hdl.handle.net/10453/123513