An innovative control strategy for a hybrid energy storage system (HESS)

Sun, L; Zhang, N; Awadallah, M; Walker, P

An innovative control strategy for a hybrid energy storage system (HESS)

Sun, L

Zhang, N

Awadallah, M

Walker, P

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017, 2017, pp. 434 - 439
Issue Date:: 2017-05-06

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Field	Value	Language
dc.contributor.author	Sun, L https://orcid.org/0000-0003-2054-6695	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.contributor.author	Awadallah, M https://orcid.org/0000-0002-2317-4527	en_US
dc.contributor.author	Walker, P https://orcid.org/0000-0003-3988-3966	en_US
dc.date.issued	2017-05-06	en_US
dc.identifier.citation	Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017, 2017, pp. 434 - 439	en_US
dc.identifier.isbn	9781509045389	en_US
dc.identifier.uri	http://hdl.handle.net/10453/98221
dc.description.abstract	© 2017 IEEE. Electric Vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to its 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 ICE-powered cars. In this paper, a high-level control strategy is developed to adaptively split the load between two sources for an electric vehicle 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 (PC) which is located in between in order to regulate both behaviors. Such a power split strategy (PSS) is designed in such a way to track real-time load profiles and determines one important variable - the cut-off frequency. A simplified HESS model is first developed. The power split algorithm is coded in Matlab and then applied to this HESS model. Finally, the overall system is tested comprehensively over 4 EPA driving cycles. Simulation results prove its effectiveness in coping with even the harshest driving scenarios in real life.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP150102751
dc.relation.ispartof	Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017	en_US
dc.relation.isbasedon	10.1109/ICMECH.2017.7921146	en_US
dc.title	An innovative control strategy for a hybrid energy storage system (HESS)	en_US
dc.type	Conference Proceeding
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	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. Electric Vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to its 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 ICE-powered cars. In this paper, a high-level control strategy is developed to adaptively split the load between two sources for an electric vehicle 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 (PC) which is located in between in order to regulate both behaviors. Such a power split strategy (PSS) is designed in such a way to track real-time load profiles and determines one important variable - the cut-off frequency. A simplified HESS model is first developed. The power split algorithm is coded in Matlab and then applied to this HESS model. Finally, the overall system is tested comprehensively over 4 EPA driving cycles. Simulation results prove its effectiveness in coping with even the harshest driving scenarios in real life.

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http://hdl.handle.net/10453/98221