Physical modelling of the slow voltage relaxation phenomenon in lithium-ion batteries

TL;DR

This paper introduces the Many-Particle-DFN model, which incorporates particle size distribution to accurately simulate the slow voltage relaxation in lithium-ion batteries, outperforming traditional models.

Contribution

The study develops and validates a physical model including particle size distribution to explain slow voltage relaxation in lithium-ion batteries.

Findings

MP-DFN accurately reproduces slow relaxation across C-rates

Size distribution explains internal heterogeneities affecting relaxation

Model fits experimental data with optimized size and diffusivity parameters

Abstract

In the lithium-ion battery literature, discharges followed by a relaxation to equilibrium are frequently used to validate models and their parametrizations. Good agreement with experiment during discharge is easily attained with a pseudo-two-dimensional model such as the Doyle-Fuller-Newman (DFN) model. The relaxation portion, however, is typically not well-reproduced, with the relaxation in experiments occurring much more slowly than in models. In this study, using a model that includes a size distribution of the active material particles, we give a physical explanation for the slow relaxation phenomenon. This model, the Many-Particle-DFN (MP-DFN), is compared against discharge and relaxation data from the literature, and optimal fits of the size distribution parameters (mean and variance), as well as solid-state diffusivities, are found using numerical optimization. The voltage after relaxation is captured by careful choice of the current cut-off time, allowing a single set of physical parameters to be used for all C-rates, in contrast to previous studies. We find that the MP-DFN can accurately reproduce the slow relaxation, across a range of C-rates, whereas the DFN cannot. Size distributions allow for greater internal heterogeneities, giving a natural origin of slower relaxation timescales that may be relevant in other, as yet explained, battery behavior.