Physics-Informed Neural Network with Transfer Learning for Li-Ion Battery State Estimation

arXiv·low signal

Gift Modekwe and Qiugang Lu apply physics-informed neural networks with transfer learning to lithium-ion battery state estimation using a single-particle-with-electrolyte model. It is a competent domain application of PINNs but narrow to battery modeling, with limited transfer to mainstream practitioner workflows.