Predicting lifetime in lithium-sulfur batteries, a reliability fuzzy logic approach

The nonlinear nature of the remaining useful life (RUL) phenomenon in lithium-sulfur batteries makes it challenging to predict; performance tests aimed to assess and forecast the RUL require lengthy durations and large sample sizes, which are occasionally insufficient to allow for an adequate characterization. The current study uses fuzzy number theory to handle the issue while considering a highly censored reduced sample. This results in a characterization of fuzzy reliability, key reliability indicators, and RUL while considering uncertainty. The result demonstrates that the method has capacity to forecast lithium-sulfur battery RUL and it is shown a valuable fuzzy reliability approach.