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Accurate estimation of battery state of charge (SOC) is essential for battery control and effective energy management of hybrid electric vehicles (HEV). Battery hysteresis poses a big challenge to the estimation of SOC. In the present battery state estimator (BSE), a rule-based hysteresis estimation method for nickel metal hydride (NiMH) batteries is used due to the lack of physical hysteresis models...
In this paper, a battery state of charge (SOC) estimation method based on the extended Kalman filter is proposed. In some known battery SOC estimation methods, it is assumed that the relationship between battery open circuit voltage and SOC is linear and static. However, this relationship is only piece wisely linear in practice and varies with the ambient temperature, as assumed in this work. The...
In this paper, a simplified battery model and a closed-loop estimation method of the state of charge (SOC) are proposed. The simplified battery model consists only of two resistors and two capacitors, based on which a sliding mode observer is designed to compensate modeling errors when the SOC is estimated. The proposed method can overcome the drawbacks of the conventional SOC estimation methods,...
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