Faster Lead-Acid Battery Simulations from Porous-Electrode Theory: Part II. Asymptotic Analysis

Sulzer, Valentin; Chapman, S. Jonathan; Please, Colin P.; Howey, David A.; Monroe, Charles W.

doi:10.1149/2.0441908jes

Cited by 20 publications

(15 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…PyBaMM is one of the major components of the Faraday Institution's 'Common Modelling Framework', part of the Multi-Scale Modelling Fast Start project, which will act as a central repository for UK battery modelling research. PyBaMM has already been used to develop and compare reduced-order models for lithium-ion [7] and lead-acid [8,9] batteries, parameterize lithium-ion cells [10], model spirally-wound batteries [11], model two-dimensional distributions in the current collectors [12,13], and model SEI growth [14]. Further research outcomes are anticipated from continued collaborations with other members of the modelling community, both within and beyond the Faraday Institution.…”

Section: Overview Of Pybammmentioning

confidence: 99%

Python Battery Mathematical Modelling (PyBaMM)

Sulzer

Marquis

Timms

et al. 2021

JORS

Self Cite

202

108

View full text Add to dashboard Cite

As the UK battery modelling community grows, there is a clear need for software that uses modern software engineering techniques to facilitate cross-institutional collaboration and democratise research progress. The Python package PyBaMM aims to provide a flexible platform for implementation and comparison of new models and numerical methods. This is achieved by implementing models as expression trees and processing them in a modular fashion through a pipeline. Comprehensive testing provides robustness to changes and hence eases the implementation of model extensions. PyBaMM is open source and available on GitHub. For more information visit www.pybamm.org.

show abstract

Section: Overview Of Pybammmentioning

confidence: 99%

Python Battery Mathematical Modelling (PyBaMM)

Sulzer

Marquis

Timms

et al. 2021

JORS

Self Cite

202

108

View full text Add to dashboard Cite

show abstract

“…Thus the interface relaxes somewhat like a parallel RC circuit, with the OCP slope providing the (inverse) capacitance, and interfacial charge-transfer kinetics providing the resistance. Notably, this time constant has not been considered in most asymptotic analyses of the Doyle-Fuller-Newman model [34,35]. The thermal relaxation time t th is much longer than the other time constants.…”

Section: Temperature Non-uniformity and Solid-state Diffusionmentioning

confidence: 99%

Multiscale coupling of surface temperature with solid diffusion in large lithium-ion pouch cells

Lin,

Chu,

Howey

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Untangling the relationship between reactions, mass transfer, and temperature within lithium-ion batteries enables control approaches that mitigate thermal hot spots and slow degradation. Here, we develop an efficient physics-based pouch-cell model to simulate lock-in thermography experiments, which synchronously record the applied current, cell voltage, and surface-temperature distribution. Prior modelling efforts have been confounded by experimental temperature profiles whose characteristics suggest anisotropic heat conduction. Accounting for a multiscale coupling between heat flow and solid-state diffusion rationalizes this surface-temperature nonuniformity. We extend an earlier streamlined model based on the popular Doyle-Fuller-Newman theory, augmented by a local heat balance. The reducedorder model is exploited to parametrize and simulate commercial 20 Ah lithium iron phosphate (LFP) cells at currents up to 80 A. This work highlights how microscopic intercalation processes produce distinctive macroscopic heat signatures in large-format cells, as well as how heat signatures can be exploited to fingerprint material properties.

show abstract

“…PyBaMM is one of the major components of the Faraday Institution's 'Common Modelling Framework', part of the Multi-Scale Modelling Fast Start project, which will act as a central repository for UK battery modelling research. PyBaMM has already been used to develop and compare reduced-order models for lithium-ion [7] and lead-acid [8,9] batteries, and further research outcomes are anticipated from continued collaborations with other members of the Faraday modelling community.…”

Section: Overview Of Pybammmentioning

confidence: 99%