A statistical approach to domain performance modeling for oxyhalide primary lithium batteries

Abstract

Lithium batteries have emerged as the power source of choice for a large number of commercial and medical applications. Commercially important lithium battery chemistries include lithium/iodine, lithium silver vanadium oxide, lithium/carbon monofluoride, lithium/sulfuryl chloride with chlorine, and lithium/thionyl chloride. The ability to accurately estimate the discharge performance of a cell is a paramount consideration in cell selection. Here, the authors present an approach to model the discharge of the oxyhalide system based on response surface methods and nonlinear estimation. The resulting models may be used to predict performance under varying conditions. In short, they construct a model to address the question: "how long will it last?".