Physics-based electrochemical battery models derived from porous electrode theory are a
very powerful tool for understanding lithium-ion batteries, as well as for improving their …

Battery management systems based on electrochemical models could achieve more
accurate state estimations and efficient battery controls with access to cell unmeasurable …

The standard model of a lithium-ion battery, the Doyle-Fuller-Newman (DFN) model, is
computationally expensive to solve. Typically, simpler models, such as the single particle …

Abstract The widely used Doyle-Fuller-Newman (DFN) model for lithium-ion batteries is too
computationally expensive for certain applications, which has motivated the appearance of a …

The fast charging of Lithium-ion batteries within electric vehicles can accelerate the side
reaction of lithium plating due to an anode potential that occurs as state of charge increases …

We propose algorithms to speed up physics-based battery lifetime simulations by one to two
orders of magnitude compared to the state-of-the-art. First, we propose a reformulation of the …

For many practical applications, fully coupled three-dimensional models describing the
behavior of lithium-ion pouch cells are too computationally expensive. However, owing to …

A derivation of the single particle (SP) model is made from a Doyle-Fuller-Newman (DFN)
model for electrodes composed of uniformly sized spherical electrode particles of one …

Battery degradation, which is the reduction of performance over time, is one of the main
roadblocks to the wide deployment of lithium-ion batteries. Physics-based models, such as …

In mathematical models of lithium-ion batteries, the highly heterogeneous porous electrodes
are frequently approximated as comprising spherical particles of uniform size, leading to the …