A neural-network solver with a learned bypass term and an integral conservation constraint solves the full nonlinear P2D battery model and estimates battery lengths from data.
Nikdel, et al., Various battery models for various simulation studies and applications, Renewable and Sustainable Energy Reviews 32 (2014) 477–485
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
physics.comp-ph 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Forward and Inverse Simulation of Pseudo-Two-Dimensional Model of Lithium-Ion Batteries Using Neural Networks
A neural-network solver with a learned bypass term and an integral conservation constraint solves the full nonlinear P2D battery model and estimates battery lengths from data.