An Overview of Data-Driven Methods for the Online State of Charge Estimation

Abstract

In the last years, the drift toward electric mobility and the need for renewable energy penetration placed the batteries and their control in a prominent position. A critical parameter for the battery management system (BMS) is the state of charge (SOC) of the battery pack. This paper gives an overview of the trends of the last 5 years of SOC estimation, using data-driven estimation methods. Due to the evolution of electronic materials and the abundance of available data, data-driven methods became popular and advantageous.

Topics & Concepts