Predicting Remaining Useful Life of Lithium-Ion Battery Using Extended Belief Rule Base Model

The development of new energy vehicles is a key factor in the adjustment of China's energy structure and the decrease in carbon emissions. It is a frontier field for China to achieve high-quality development and construct a modern socialist nation fully. However, because lithium-ion battery used in new energy vehicles have a limited lifespan, it is likely to have a very significant security risk when the lithium-ion battery is not replaced in a timely manner. Predicting the lithium-ion battery's remaining useful life (RUL) is crucial for this reason. In order to forecast the RUL while taking health indicators (HI) into account, the extended belief rule base (EBRB) model is introduced in this paper. The EBRB model's capacity to handle complicated modeling issues helps to increase the RUL prediction's accuracy and interpretability. This study is of great significance for promoting the development of new energy vehicles, adjusting China's energy structure, and reducing carbon emissions.