State of Charge Estimation of Lithium-ion Batteries Considering Model and Parameter Uncertainties



Published Oct 14, 2013
Zhimin Xi Rong Jing Xiao Guang Yang Ed Decker


Up to date, model and parameter uncertainties are generally overlooked by majority of researchers in the field of battery study. As a consequence, accuracy of the SOC estimation is dominated by the model fidelity and may vary from cell-to- cell. This paper proposes a systematic framework with associated methodologies to quantify the battery model and parameter uncertainties for more effective battery SOC estimation. Such a framework is also generally applicable for estimating other battery performances of interest (e.g. capacity and power capability). There are two major benefits using the proposed framework: i) consideration of the cell-to-cell variability, and ii) accuracy improvement of the low fidelity model comparable to the high fidelity without scarifying computational efficiency. One case study is used to demonstrate the effectiveness of the proposed framework.

How to Cite

Xi, . Z. ., Jing, R. ., Guang Yang, X. ., & Decker, E. . (2013). State of Charge Estimation of Lithium-ion Batteries Considering Model and Parameter Uncertainties. Annual Conference of the PHM Society, 5(1).
Abstract 112 | PDF Downloads 135



State of Charge, Lithium-ion battery, model uncertainty, parameter uncertainty

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