Abstract
The remaining useful life (RUL) phenomenon of lithium sulfur batteries is characterized by being a nonlinear phenomenon that implies difficulties to determine it; performance tests to evaluate and predict the RUL involve long times and a large sample data that, sometimes, is limited for an adequate characterization due to insufficient data. The present work addresses the problem through a reliability analysis considering a highly censored reduced sample, which allows characterizing is reliability key indicators and RUL through the Weibull distribution and the reduced bias adjustment (RBA) method, considering uncertainty in the estimation. The results show that the method is capable to predict RUL of lithium-sulfur batteries, as well as the usefulness of reliability indices.
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