SOC/SOH Estimation Method for AGM Battery by Combining ARX Model for Online Parameters Identification and DEKF Considering Hysteresis and Diffusion Effects

파라미터 식별을 위한 ARX 모델과 히스테리시스와 확산 효과를 고려한 이중 확장 칼만필터의 결합에 의한 AGM 배터리의 SOC/SOH 추정방법

State of Charge (SOC) and State of Health (SOH) are the key issues for the application of Absorbent Glass Mat (AGM) type battery in Idle Start Stop (ISS) system which is popularly integrated in Electric Vehicles (EVs). However, battery parameters strongly depend on SOC, current rate and temperature and significantly change over the battery life cycles. In this research, a novel method for SOC, SOH estimation which combines the Auto Regressive with external input (ARX) method using for online parameters prediction and Dual Extended Kalman Filter (DEKF) algorithm considering hysteresis is proposed. The validity of the proposed algorithm is verified by the simulation and experiments.