The Estimation of the SOC and Capacity for the Lithium-Ion Battery using Kalman Filter

  • Lee, Seong-Jun (School of Electrical Engineering and Computer Science, Seoul National Univ.) ;
  • Kim, Jong-Hoon (School of Electrical Engineering and Computer Science, Seoul National Univ.) ;
  • Lee, Jae-Moon (School of Electrical Engineering and Computer Science, Seoul National Univ.) ;
  • Cho, Bo-Hyung (School of Electrical Engineering and Computer Science, Seoul National Univ.)
  • Published : 2007.11.30

Abstract

The open circuit voltage (OCV) is widely used to estimate the state of charge (SOC) in many estimation algorithms. However, the relationship between the OCV and SOC can not be exactly same for all batteries. Because the conventional OCV-SOC differs between batteries, there is a problem that the relationship of the OCV-SOC should be measured to accurately estimate the SOC. Therefore, the conventional OCV-SOC is modified to a new relationship in this paper. Thus, problems resulting from the defects of the extended Kalman filter (EKF) can be avoided by preventing the relationship from varying. In this paper, SOC and capacity of the lithium-ion battery are estimated using the dual EKF with the proposed method.

Keywords