| Title |
State of Charge Estimation of Li-Ion Battery Based on CIM and OCV Using Extended Kalman Filter |
| Authors |
Joung-Ho Park ; Wang-Cheol Cha ; Uk-Rae Cho ; Jae-Chul Kim |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2014.28.11.077 |
| Keywords |
Li-Ion Battery ; State of Charge ; Open Circuit Voltage ; Current Integral Method ; Extended Kalman Filter ; Parameter Tracking |
| Abstract |
The Estimation of State of Charge(SOC) for batteries is an important aspect of a Battery Management System(BMS). A method for estimating the SOC is proposed in order to overcome the individual disadvantages of the current integral and Open Circuit Voltage(OCV) estimation methods by combining them using Extended Kalman filter(EKF). The non-linear characteristics of the Li-Ion RC battery model used in this study is also solved through EKF. The proposed method is simulated in a Matlab environment with a Li-Ion Kokam battery (3.7V, 1,500mAh). Results showed that there is an improvement in the estimation error when using the proposed model compared to the conventional current integral method. |