A novel predicting model of the electric vehicle battery considering the state of health

This article presents a well-designed predicting model of the battery employed in electric vehicles (EVs) considering the state of health (SOH). The EV industry has been rapidly developed since energy deficiency has become a critical social issue in this century. The battery is a key part of EVs which serves as an energy storage core for other electrical devices. A precise battery model is crucial as tests are carried out, and accurate data can be used for an optimal design. In the traditional state of charge (SOC) prediction of batteries, researchers pay less attention to the relationship between charge and discharge conditions. In this article, the charge and discharge situation of EV batteries are determined to facilitate battery management under a continuous random charge and discharge cycle. In addition, exploration is carried out on the behaviors of the battery model parameters under different SOH conditions.