Battery SOC estimation based on multivariate adaptive regression splines

The voltage, current and temperature are used as input variables in this paper. The SOC estimation of the lithium iron phosphate battery is achieved by the method of multivariate adaptive regression splines (MARS). The data obtained by the test is standardized, which can be then used in the train of the SOC estimation mathematical model. After that the model is verified. The simulation results show that the proposed method can improve the accuracy of SOC estimation.