A Study on Low-Temperature Model Parameter Identification of LTO Battery by Cuckoo Search

The parameters of the LTO battery model are quite different between low temperature and room temperature conditions, which causes unacceptable errors in existing State of Charge (SOC) estimation model at low temperatures. In order to establish a precise LTO battery model, which can be applied to the State of Charge (SOC) estimation at both room temperature and low temperature, a method for identifying parameters of LTO battery model under low temperature is proposed. Firstly, the terminal voltage data during the discharge process of LTO battery at different temperatures are obtained through the test. Secondly, the data is imported into the Cuckoo Search with other optimization algorithms aiming at identifying the parameters of the second-order RC model at different temperatures, which are then applied to the model to obtain the estimated terminal voltage curves. Finally, the obtained estimated terminal voltage curves are compared with the actual values on curves, which shows that Cuckoo Search owns a higher accuracy and its identification results are applicable to the State of Charge (SOC) estimation of LTO battery within a wide range of temperature, especially at low temperatures.