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A prediction model of the depth-of-discharge effect on the cycle life of a storage cellCycle life requirements are very high for batteries used in aerospace applications in low Earth orbit. The data base required to establish confidence in a particular cell design is thus both extensive and expensive. Reliable accelerated cycle life testing and performance decay modeling represent attractive alternatives to real-time tests of cycle life. In light of certain long-term cycle life test results, this paper examines a very simple performance decay model developed earlier. Application of that model to available data demonstrates a rigid relationship between a battery's expected cycle life and the depth of discharge of cycling. Further, modeling analysis of the data suggests that a significantly improved cycle life can be obtained with advanced components, materials, and designs; and that cycle life can be reliably predicted from the results of accelerated testing.
Document ID
Document Type
Conference Paper
Thaller, Lawrence H.
(NASA Lewis Research Center Cleveland, OH, United States)
Lim, Hong S.
(Hughes Research Labs. Malibu, Calif., United States)
Date Acquired
September 5, 2013
Publication Date
January 1, 1987
Subject Category
Energy Production And Conversion
Report/Patent Number
NAS 1.15:89915
AIAA PAPER 87-9080
Accession Number
Funding Number(s)
PROJECT: RTOP 506-41-21
Distribution Limits
Work of the US Gov. Public Use Permitted.
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