State of Charge Prediction for Lithium-ion Batteries

Abstract-With the analysis on the conventional state-of-charge prediction algorithm and the influencing factors of state-of-charge value, a new method for state-of-charge prediction is proposed, in which the working states of battery are divided into the standby state, the transitional state, and the charge-discharge state. Each state of state of charge is predicted, and the influencing factors of state-of-charge value are dispersed and eliminated within the process of this method. For the charge-discharge state in particular, the columbic efficiency factor is introduced to calculate the dynamic recovering to the lithium-ion quantity of electricity so that the Ah counting approach is improved by eliminating the accumulated error. The experimental results show that this method can increase prediction accuracy of the state of charge and meet the requirements of electric vehicles.