作者: Liu Xintian , Zeng Guojian , He Yao , Dong Bo , Xu Xingwu
DOI: 10.1109/ICAIOT.2015.7111557
关键词:
摘要: Temperature has a direct impact on the capacity fading of power Li-ion battery during battery's lifecycle; however, inner temperature cannot be measured directly because sealed structure. To address this problem, we estimate by measuring surface and ambient using an equivalent thermal model to build ETM-Arrhenius (equivalent model-Arrhenius) that models dependence enable accurate prediction characteristics its lifecycle. We conducted lifecycle test at different temperatures, results indicate can predict accurately in addition, when is used EFK, UKF other common state-of-charge (SOC) estimation algorithms, accuracy SOC improved significantly.