DocumentCode
1414970
Title
Characterization of Li-Ion Batteries for Intelligent Management of Distributed Grid-Connected Storage
Author
Dogger, Jarno D. ; Roossien, Bart ; Nieuwenhout, Frans D J
Author_Institution
Power Syst. & Inf. Technol., Energy Res. Centre of the Netherlands, Petten, Netherlands
Volume
26
Issue
1
fYear
2011
fDate
3/1/2011 12:00:00 AM
Firstpage
256
Lastpage
263
Abstract
Grid-connected electrical storage has a high potential to support the transition toward a reliable decentralized and renewable energy supply. It is expected that lithium-ion batteries will play a major role in this transition, because of their high energy density and of the potential capacity that is offered by plug-in (hybrid) electric vehicles. The use of lithium-ion batteries in grid support may result in additional degradation. Intelligent control of these batteries can assure that the additional degradation rate is minimized and their utilization is cost-effective. It is, therefore, imperative that the intelligent control has an excellent understanding of the aging behavior of the battery, therefore, it can maximize the benefits for the battery owner. Based on this logic, cycle life experiments were performed on lithium polymer cells in which the cell life dependence on the depth of discharge was investigated. Other cell characteristics that were studied include the equivalent series resistance and the efficiency.
Keywords
battery management systems; battery powered vehicles; battery storage plants; distributed power generation; hybrid electric vehicles; intelligent control; lithium; secondary cells; smart power grids; Li; Li-ion batteries; cell life dependence; cycle life experiments; distributed grid-connected storage intelligent management; equivalent series resistance; intelligent control; lithium polymer cells; plug-in hybrid electric vehicles; renewable energy supply; smart grids; Cycle life; depth of discharge (DOD); equivalent series resistance (ESR); lithium polymer (LiPo);
fLanguage
English
Journal_Title
Energy Conversion, IEEE Transactions on
Publisher
ieee
ISSN
0885-8969
Type
jour
DOI
10.1109/TEC.2009.2032579
Filename
5677460
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