SOC estimation based on improved extended Kalman filtering

In this article, a technique is introduced for gauging the state of charge (SOC) of lithium batteries by utilizing the adaptive multi-innovation robust extended Kalman filter algorithm (MIAREKF). The aim is to avoid inconsistent discharge capacity in energy storage systems, which can result in poor operation and unsafe conditions. The accuracy of the MIAREKF algorithm is compared to that of the conventional EKF and its improvements through experiments. The findings demonstrate that the MIAREKF algorithm has an estimated error rate of less than 1% when determining the SOC during NEDC. It highlights its superior precision and practicality in SOC estimation for lithium batteries.