AUTHOR=Ji Shiyu , Sun Yi , Chen Zexing , Liao Wu 

TITLE=A Multi-Scale Time Method for the State of Charge and Parameter Estimation of Lithium-Ion Batteries Using MIUKF-EKF

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.933240

DOI=10.3389/fenrg.2022.933240

ISSN=2296-598X

ABSTRACT=Accurate state estimation is essential for the safe and reliable operation of lithium-ion batteries, which nowadays are becoming increasingly used in energy storage system. However, the accura-cy of the battery states assessment to a great extent depends on the accuracy of the battery model parameters. a direct measurement of the SoC is not possible, Kalman filter-based estimation meth-ods are widely used. Which is harder to obtain precisely. However, it is difficult to estimate SOC accurately online and the estimation accuracy is not high. This paper proposes a method for pa-rameter identification and state-of-charge (SOC) estimation for lithium-ion batteries. Aiming at the slow-varying characteristics of battery parameters and the fast-varying characteristics of bat-tery SOC, a multi-scale Kalman filter is proposed and used to perform online measurement battery parameters and SOC estimation, so that battery parameters are estimated with macro scale, Bat-tery SoC is estimated with micro scale. The accurate estimate of battery SOC was obtained in real-time through a Kalman filtering algorithm.