Research on SOC Estimation of Lithium Battery by Unscented Kalman Fliter
Journal Title: 河南科技大学学报（自然科学版） - Year 2018, Vol 39, Issue 4
Abstract
Because power lithium battery parameters were susceptible to external disturbance and the battery model was non-linear, the existing state of charge ( SOC) estimation method cannot fully meet the needs of precision and real-time. Considering the accuracy of the model and the complexity of the actual engineering calculation, the empirical model was proposed. On the basis of the empirical model, unscented Kalman filter ( UKF) algorithm was used to estimate SOC. The estimated effect of the algorithm was tested by comparing with the power lithium battery discharge test data. The results show that the UKF algorithm can accurately track the discharge changes of power lithium battery. The SOC estimated error of the power lithium battery is about 2%.The precision of the UKF algorithm is improved greatly compared with the traditional algorithm.
Authors and Affiliations
Jianxing WEI, Zhumu FU
Keywords
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