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Batteries have been widely used in the field of electric vehicles. So prediction of the state of health (SOH) is important to the safe and efficient use of them. In this study, SOH is estimated by the generalized regression neural network (GRNN). GRNN is established by the radial basis neurons and linear neurons. The network has the advantages of approximation ability and the learning speed. In this...
Li-ion batteries are widely used in energy storage systems, electric vehicles, communication systems, etc. The State of Health (SOH) of batteries is of great importance to the safety of these systems. This paper presents a novel online method for the estimation of the SOH of Lithium (Li)-ion batteries based on Dynamic Bayesian Networks (DBNs). The structure of the DBN model is built according to the...
Lithium-ion batteries have been widely used in many fields. In order to make the battery work on good conditions, people should monitor its working states continuously. The two important working state of a battery are its internal resistance and the State of Charge (SOC). A dual estimation method of the internal resistance and the SOC based on the Unscented Kalman Filter (UKF) is proposed. The internal...
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