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State-of-Charge Estimation of a Li-Ion Battery using Deep Forward Neural Networks
[article]
2020
arXiv
pre-print
This article presents two Deep Forward Networks with two and four hidden layers, respectively, that model the drive cycle of a Panasonic 18650PF lithium-ion (Li-ion) battery at a given temperature using the K-fold cross-validation method, in order to estimate the State of Charge (SOC) of the cell. The drive cycle power profile is calculated for an electric truck with a 35kWh battery pack scaled for a single 18650PF cell. We propose a machine learning workflow which is able to fight overfitting
arXiv:2009.09543v1
fatcat:vmgfzi6cpzawnm4mb2g72xdsyq