Design of State of Charge and Health Estimation for Li-ion Battery Management System

Recently, researches on the battery management system(BMS) have been actively conducted due to the increase in various electric vehicles. The main function of the BMS is to predict the state of charge(SOC) and the state of health(SOH)of the battery cell to ensure the stability of the vehicle and to achieve optimal performance. This paper designs block IP for estimating SOC and SOH for lithium-ion batteries up to 15 cells and implements an FPGA testbed to verify the block IP to be mounted in an SoC for BMS to accurately estimate SOC and SOH for multiple battery cells.

I. Introduction

Due to the rapidly increasing variety of electric vehicles (EVs) in recent years, many automobile manufacturers are investing in the research of electric systems [1]. With increasing battery capacity, the battery management system (BMS) is regarded as a key block of EVs [2]. The main function of the BMS is to monitor the state of a battery composed of several cells, and based on this, determine the state of the battery and ensure system safety. Therefore, in order to provide the optimal performance of the BMS, highaccuracy battery monitoring, especially the estimation of state of charge(SOC) and state of health(SOH), is an essential element, and many studies are being conducted [3].