2013 IEEE Vehicle Power and Propulsion Conference (VPPC) 2013
DOI: 10.1109/vppc.2013.6671711
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Cited by 6 publications
(1 citation statement)
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“…Neural networks estimate the SoC Kalman filtering methods, relationships between SoC and accurate measured state variables such as voltage and current are used to develop a cell model[269]. The cell model can be either a numerical, state-space or an equivalent circuit model[270]. The basic principle is to estimate SoC based on the cell model and this value is compared with output measurements and state estimates are updated accordingly to reduce the difference between the estimated and measured values[271].…”
mentioning
confidence: 99%
“…Neural networks estimate the SoC Kalman filtering methods, relationships between SoC and accurate measured state variables such as voltage and current are used to develop a cell model[269]. The cell model can be either a numerical, state-space or an equivalent circuit model[270]. The basic principle is to estimate SoC based on the cell model and this value is compared with output measurements and state estimates are updated accordingly to reduce the difference between the estimated and measured values[271].…”
mentioning
confidence: 99%