I. INTRODUCTION
In this research, we propose a data-driven algorithm to predict the voltage and state of charge (SOC) of Lithium-ion batteries (LiBs) simultaneously from the electrical current. This algorithm is auto-tuned to have a better performance for validation and test data. Our algorithm offers a solution for a more advanced battery management system (BMS).