Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries

By K. Ng, C. Moo, Yi-ping Chen, Y. Hsieh. 2009

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Transfer Learning With Long Short-Term Memory Network for State-of-Health Prediction of Lithium-Ion Batteries (2020, neutral): “The open-circuit voltage (OCV) [1] and Coulomb-counting [2] methods can obtain the current maximum battery capacity, which is convenient and with low computational complexity.”
A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries (2013, methodology): “As the key parameter for high-power battery management systems, the State-of-Charge (SOC) of a Li-ion battery directly indicates its residual capacity [1,2] and thus reflects the remaining range of an electric vehicle.”
Online Adaptive Parameter Identification and State-of-Charge Coestimation for Lithium-Polymer Battery Cells (2014, background): “Battery technology is growing very quickly to produce cells with higher energy and power densities and to reduce costs.”