Data-driven Prognostic Model of Li-ion Battery with Deep Learning Algorithm

In this day and age, a battery is a promising electrical power storage system for various engineering applications. The role of prognostic and health management (PHM) in battery application is to ensure that the battery system is reliable and safe through the estimation of State of Health (SoH) and Remaining Useful Life (RUL) of the battery. Although there is a growing research trend in predicting the SoH and RUL using various machine learning algorithms, there has not yet been many sophisticated works that employ the deep learning algorithms for PHM in battery analysis.