A comparative study of battery balancing strategies for different battery operation processes

Zheng, L; Zhu, J; Wang, G

A comparative study of battery balancing strategies for different battery operation processes

Zheng, L Zhu, J

Wang, G

Permalink

Publication Type:: Conference Proceeding
Citation:: 2016 IEEE Transportation Electrification Conference and Expo, ITEC 2016, 2016
Issue Date:: 2016-07-22

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted ManuscriptAdobe PDF (658.65 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Zheng, L	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Wang, G https://orcid.org/0000-0003-4295-8578	en_US
dc.date.issued	2016-07-22	en_US
dc.identifier.citation	2016 IEEE Transportation Electrification Conference and Expo, ITEC 2016, 2016	en_US
dc.identifier.isbn	9781509004034	en_US
dc.identifier.uri	http://hdl.handle.net/10453/102760
dc.description.abstract	© 2016 IEEE. To reduce the effect of cell inconsistencies and improve battery pack capacity, battery balancing techniques are essentially required in battery management systems (BMSs). This paper presents a comparative study of four battery balancing strategies for different battery operation processes. These balancing strategies are developed from the state-of-the-art battery balancing circuits and algorithms reported in recent literature. The performance of balancing strategies is evaluated and compared by battery pack maximum available capacity, state of charge (SOC) variances at the end of charge (EOC) and end of discharge (EOD). The comparative result is helpful for BMSs developers to employ optimal balancing strategies in actual applications.	en_US
dc.relation.ispartof	2016 IEEE Transportation Electrification Conference and Expo, ITEC 2016	en_US
dc.relation.isbasedon	10.1109/ITEC.2016.7520204	en_US
dc.title	A comparative study of battery balancing strategies for different battery operation processes	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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. To reduce the effect of cell inconsistencies and improve battery pack capacity, battery balancing techniques are essentially required in battery management systems (BMSs). This paper presents a comparative study of four battery balancing strategies for different battery operation processes. These balancing strategies are developed from the state-of-the-art battery balancing circuits and algorithms reported in recent literature. The performance of balancing strategies is evaluated and compared by battery pack maximum available capacity, state of charge (SOC) variances at the end of charge (EOC) and end of discharge (EOD). The comparative result is helpful for BMSs developers to employ optimal balancing strategies in actual applications.

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

http://hdl.handle.net/10453/102760