Robust state-of-charge estimation of ultracapacitors for electric vehicles

Zhang, L; Su, S; Hu, X; Dorrell, DG

Robust state-of-charge estimation of ultracapacitors for electric vehicles

Zhang, L Su, S

Hu, X Dorrell, DG

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Publication Type:: Conference Proceeding
Citation:: Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015, 2015, pp. 1296 - 1301
Issue Date:: 2015-09-28

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Field	Value	Language
dc.contributor.author	Zhang, L	en_US
dc.contributor.author	Su, S https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Hu, X	en_US
dc.contributor.author	Dorrell, DG https://orcid.org/0000-0001-8060-3386	en_US
dc.date.issued	2015-09-28	en_US
dc.identifier.citation	Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015, 2015, pp. 1296 - 1301	en_US
dc.identifier.isbn	9781479966493	en_US
dc.identifier.uri	http://hdl.handle.net/10453/41656
dc.description.abstract	© 2015 IEEE. Ultracapacitors (UCs) are an important energy storage technology in automotive and grid applications. They have several advantages, including high power density and extraordinarily long lifespan. Accurate State-of-Charge (SOC) tracking of UCs is critical for the reliability, resilience, and safety in system operation. This paper presents a novel robust H infinity observer in order to realize the SOC estimation of a UC in real time. It is computationally efficient because the observer gain involved in the real-time computation can be readily synthesized offline. In comparison to state-of-the-art Kalman filtering (KF), the developed robust scheme can ensure high estimation accuracy even without prior knowledge of the process and noise measurement statistical properties. More significantly, the H infinity observer proves to be more robust and tolerant to modeling uncertainties arising from the change of operating conditions and/or cell health status. These benefits are experimentally verified.	en_US
dc.relation.ispartof	Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015	en_US
dc.relation.isbasedon	10.1109/INDIN.2015.7281922	en_US
dc.title	Robust state-of-charge estimation of ultracapacitors for electric vehicles	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 Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. Ultracapacitors (UCs) are an important energy storage technology in automotive and grid applications. They have several advantages, including high power density and extraordinarily long lifespan. Accurate State-of-Charge (SOC) tracking of UCs is critical for the reliability, resilience, and safety in system operation. This paper presents a novel robust H infinity observer in order to realize the SOC estimation of a UC in real time. It is computationally efficient because the observer gain involved in the real-time computation can be readily synthesized offline. In comparison to state-of-the-art Kalman filtering (KF), the developed robust scheme can ensure high estimation accuracy even without prior knowledge of the process and noise measurement statistical properties. More significantly, the H infinity observer proves to be more robust and tolerant to modeling uncertainties arising from the change of operating conditions and/or cell health status. These benefits are experimentally verified.

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http://hdl.handle.net/10453/41656