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Electrochamical Model-based SOC Estimations by Using Different Algorithms for Lithium-ion Batteries
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DOI：10.1109/iciea.2019.8834045.png)
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摘要
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In order to compare the performance of different state estimation algorithms in electrochamical model-based SOC(state of charge) estimation for lithium-ion battery, this paper proposed a series of SOC, estimation approaches which use different algorithms including extended Kalman filter(EKF), adaptive extended Kalman filter(AEKF), particle filter(PF) and dichotomy. Their accuracy, convergence and computation efficiency was examined at the end of the paper.
Keyword:
SOC estimation
algorithm
extended Kalman filter
adaptive extended Kalman filter
particle filter
dichotomy
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