Advancing state estimation for lithium-ion batteries with hysteresis through systematic extended Kalman filter tuning
J. Knox,
M. Blyth,
A. Hales
Abstract:Knowledge of remaining battery charge is fundamental to electric vehicle deployment. Accurate measurements of state-of-charge (SOC) cannot be obtained directly and estimation methods must be used instead. This requires both a good model of a battery and a well-designed state estimator. Here, hysteretic reduced-order battery models and adaptive extended Kalman filter estimators are shown to be highly effective, accurate predictors of SOC. A battery model parameterisation framework is proposed, which enhances st… Show more
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