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Hysteresis Modeling of Lithium-Silicon Half Cells Using Prandtl-Ishlinskii Model
Author(s)
Plett, Gregory L.
Date Issued
October 9, 2020
Type
Conference Paper
Abstract
State-of-charge (SOC)-estimation accuracy is critical to battery management in electric-vehicle (EV) applications. SOC-estimation error can arise from unmodeled nonlinear battery hysteresis; so to enhance performance, it is necessary to model hysteresis voltage. This paper presents results from applying three kinds of Prandtl-Ishlinskii (PI) model to a Li//Si half cell: classical PI (CPI), generalized PI (GPI), and modified generalized PI (mGPI). The performance comparison among these models and also comparisons to the Preisach and Krasnosel'skii-Pokrovskii (KP) models are made. It is found that the mGPI provides best performance among all models having the same level of calculation.
Citation
IEEE International Conference on Control and Automation Icca, 2020-October, 1578-1583, 2020
