Saved in:
Bibliographic Details
Main Authors: Xu, Shu, Cao, Liqun
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2411.10758
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866912470197600256
author Xu, Shu
Cao, Liqun
author_facet Xu, Shu
Cao, Liqun
contents We present a finite element semi-discrete error analysis for the Doyle-Fuller-Newman model, which is the most popular model for lithium-ion batteries. Central to our approach is a novel projection operator designed for the pseudo-($N$+1)-dimensional equation, offering a powerful tool for multiscale equation analysis. Our results bridge a gap in the analysis for dimensions $2 \le N \le 3$ and achieve optimal convergence rates of $h+(Δr)^2$. Additionally, we perform a detailed numerical verification, marking the first such validation in this context. By avoiding the change of variables, our error analysis can also be extended beyond isothermal conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2411_10758
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal convergence in finite element semi-discrete error analysis of the Doyle-Fuller-Newman model beyond 1D with a novel projection operator
Xu, Shu
Cao, Liqun
Numerical Analysis
We present a finite element semi-discrete error analysis for the Doyle-Fuller-Newman model, which is the most popular model for lithium-ion batteries. Central to our approach is a novel projection operator designed for the pseudo-($N$+1)-dimensional equation, offering a powerful tool for multiscale equation analysis. Our results bridge a gap in the analysis for dimensions $2 \le N \le 3$ and achieve optimal convergence rates of $h+(Δr)^2$. Additionally, we perform a detailed numerical verification, marking the first such validation in this context. By avoiding the change of variables, our error analysis can also be extended beyond isothermal conditions.
title Optimal convergence in finite element semi-discrete error analysis of the Doyle-Fuller-Newman model beyond 1D with a novel projection operator
topic Numerical Analysis
url https://arxiv.org/abs/2411.10758