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Main Authors: Lodge, Alessio Alberto, Pontillo, Alessio Lombardo, Hoekstra, Feye S. J., Medina, Robinson, Wilkins, Steven, Battiato, Ilenia
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.16683
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author Lodge, Alessio Alberto
Pontillo, Alessio Lombardo
Hoekstra, Feye S. J.
Medina, Robinson
Wilkins, Steven
Battiato, Ilenia
author_facet Lodge, Alessio Alberto
Pontillo, Alessio Lombardo
Hoekstra, Feye S. J.
Medina, Robinson
Wilkins, Steven
Battiato, Ilenia
contents Fast charging of lithium-ion batteries is limited by lithium plating, which occurs when the anode potential drops below 0 V vs Li/Li+. Model-based control aims to maximize charging current while maintaining anode potentials above this threshold. In this work, a plating-free fast charging strategy is demonstrated using a Homogenized Model (HM) coupled with a classical PID controller. The HM, derived from homogenization theory applied to the Poisson-Nernst-Planck equations, retains the physics of the Doyle-Fuller-Newman model while capturing electrode microstructural heterogeneity in a one-dimensional double-continua formulation. By reconstructing three-dimensional distributions of electrochemical variables from precomputed closure variables, the HM enables non-invasive estimation of heterogeneous anode potentials, acting as a virtual sensor. Through MATLAB-COMSOL co-simulation, a PID controller regulates current to maintain the full 3D anode potential distribution above the plating limit, achieving model-based fast charging at a fraction of the computational cost of high-fidelity models. The results demonstrate the potential of HM-based control for safe, degradation-aware, and efficient fast charging of lithium-ion batteries.
format Preprint
id arxiv_https___arxiv_org_abs_2605_16683
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Health-Aware Fast Charging Using Homogenized Model with Heterogeneous Internal State Reconstruction
Lodge, Alessio Alberto
Pontillo, Alessio Lombardo
Hoekstra, Feye S. J.
Medina, Robinson
Wilkins, Steven
Battiato, Ilenia
Systems and Control
Fast charging of lithium-ion batteries is limited by lithium plating, which occurs when the anode potential drops below 0 V vs Li/Li+. Model-based control aims to maximize charging current while maintaining anode potentials above this threshold. In this work, a plating-free fast charging strategy is demonstrated using a Homogenized Model (HM) coupled with a classical PID controller. The HM, derived from homogenization theory applied to the Poisson-Nernst-Planck equations, retains the physics of the Doyle-Fuller-Newman model while capturing electrode microstructural heterogeneity in a one-dimensional double-continua formulation. By reconstructing three-dimensional distributions of electrochemical variables from precomputed closure variables, the HM enables non-invasive estimation of heterogeneous anode potentials, acting as a virtual sensor. Through MATLAB-COMSOL co-simulation, a PID controller regulates current to maintain the full 3D anode potential distribution above the plating limit, achieving model-based fast charging at a fraction of the computational cost of high-fidelity models. The results demonstrate the potential of HM-based control for safe, degradation-aware, and efficient fast charging of lithium-ion batteries.
title Health-Aware Fast Charging Using Homogenized Model with Heterogeneous Internal State Reconstruction
topic Systems and Control
url https://arxiv.org/abs/2605.16683