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Comparative Study of two Kalman Algorithms for Estimating the State of Charge of Lithium-Ion Cells at Ambient Temperature
2018
International Journal of Electrochemical Science
Kalman filters (KFs) are effective tools for estimating online state of charge (SOC), and a great variety of studies about different kinds of KFs have been published. However, problems remain in this field. First, the impact of ambient temperature on the internal parameters of equivalent circuit models (ECM) are seldom discussed. Second, comparative studies about different KFs are not fully validated under different conditions. To solve these problems, a modified equivalent circuit model was
doi:10.20964/2018.12.65
fatcat:6b6747mghrf3znaksk3qyyhfce