Abstract
Abstract This paper describes a statistical method for analyzing data from float service life tests of VRLA batteries. The purpose of this work was to develop a model with the following characteristics. First, it would allow test data from different batteries and test conditions to be pooled, as long as they were from the same design. Secondly, it would provide estimates at discharge rates other than the ones actually used in the test. Finally, it was desired for the model to be able to predict the time to various capacities of interest to a better resolution than the typical 3–5 years to 80% (of rated) capacity given by the battery manufacturers. The batteries in this analysis are valve regulated lead acid (VRLA) types, ranging in capacity from 4 Ah to 17 Ah, from two manufacturers. The float service life of a battery will be divided into two distinct time periods. The first being that time, from the beginning of the test, when the capacity of the battery is relatively constant. The second period is defined as that when the battery capacity begins to decrease much more rapidly until end of life is reached.
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