Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries

By Xiaosong Hu, Shengbo Eben Li, Huei Peng, Fengchun Sun. 2012

200 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/b5d91f9565057b5ad057cd9a8e10798ca8a9586d

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Citations in the corpus

Improved OCV Model of a Li-Ion NMC Battery for Online SOC Estimation Using the Extended Kalman Filter (2017, methodology): “Polynomial OCV(x) = p1x + p0 [15] OCV(x) = pnx + pn−1x + · · ·+ p1x + p0 [34,39] Logarithmic OCV(x) = p0 + p1 ln( x 1−x )− p2x [35] Exponential OCV(x) = p1e1 + p0 [40] OCV(x) = p0 + p1x + p2(1 − e−∝1x) + p3(1 − e −∝2 1−x ) [41] Combined OCV(x) = p0 + p1 1 1+e∝1(x−β1) + p2 1 1+e∝2(x−β2) + p3 1 1+e∝3(”
A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors (2018, methodology): “71 eled as a fourth-order polynomial function, according to the observation in [105].”
Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus (2018, methodology): “[42] studied five opencircuit voltage models comparatively and found that the fourth-”
Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles (2015, background): “Although more sophisticated battery models have been developed to describe battery dynamics [23], [24], the internal resistance model is still the most prevailing model for HEV supervisory control due to its simplicity, described as”
A Generalized SOC-OCV Model for Lithium-Ion Batteries and the SOC Estimation for LNMCO Battery (2016, methodology): “The developed SOC-OCV model applying to LiFePO4 battery demonstrated higher accuracy compared to five OCV models summarized in [18].”
The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles (2018, background): “However, the parameters in the algorithm, including the capacity and the impedance, may vary as battery degrades, and thus influence the accuracy of the approach [12].”