A prediction model of the depth-of-discharge effect on the cycle life of a storge 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
19880024669
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Thaller, Lawrence H. (NASA Lewis Research Center Cleveland, OH, United States)
Lim, Hong S. (Hughes Research Laboratories Malibu, CA, United States)