Abstract
The SOC estimation algorithm mentioned in Chap. 4 is based on a battery model with parameters explicitly known in advance. It means that there must be a parameter identification procedure to prepare the battery’s model for SOC estimation. But this parameter identification procedure can be tedious and even needs to be run repeatedly to extract the correct parameters for an aging battery. Hence, it raises an important question: how to design an SOC estimation method when the battery’s model parameters are initially unknown. In addition, it is common to encounter outliers, i.e., unrepresentative data points that deviate significantly from normal values, during battery signal measurements. These outliers may come from measurement failures or big noise disturbances. In practice, they can degrade the SOC estimation performance by introducing bias and, in some extreme cases, can even trigger a complete failure of estimation.
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Ouyang, Q., Chen, J. (2023). Co-estimation of State of Charge and Model Parameters for Lithium–Ion Batteries. In: Advanced Model-Based Charging Control for Lithium-Ion Batteries. Springer, Singapore. https://doi.org/10.1007/978-981-19-7059-7_5
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DOI: https://doi.org/10.1007/978-981-19-7059-7_5
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