Methods for state-of-charge determination and their applications

By S. Piller, M. Perrin, Andreas Jossen. 2001

1,197 citations recorded by the source corpus.

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A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries (2013, methodology): “To overcome the divergence of the current integral method, a closed-loop SOC estimation method based on the Kalman filter was proposed [21].”
State of charge estimation using an unscented filter for high power lithium ion cells (2010, methodology): “[28] provide a good overview of most of these methods.”
Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles (2005, result): “However, from results of various studies undertaken to identify the impedance variation of cells/batteries, with SoC [5], [6], contradictory views to their usefulness in practical systems currently remain unresolved [2].”
State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF (2010, methodology): “In the charging process, it is usually desirable to charge the battery with the highest and the safest current in order to reach the full state of charge (SOC) as quickly as possible without entering the overcharge region [1], [3].”