Unlocking electrochemical battery modelling: an open-source suite comparison methodology

This paper presents a methodology to compare open-source suites for electrochemical battery simulations in terms of simulation output and computation time. The proposed approach leverages the Battery Parameter eXchange standard to introduce a parameter porting framework that supports the implementation of equivalent cell parameters across suites, and provides a method for solver tolerance selection used for computational speed comparison. The methodology is showcased by comparing two of the most comprehensive open-source suites, PyBaMM and TOOFAB. While both provide lean model implementation, PyBaMM shows more versatility and faster mean simulation times, with TOOFAB closing the gap on simulations with coarser discretizations, particularly when order reductions are applied. Furthermore, considering portability to C and implementation simplicity, TOOFAB has a strong advantage.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.07.100
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unlocking electrochemical battery modelling: an open-source suite comparison methodology

F.S.J. Hoekstra, A.M. Aguilar, Alessio A. Lodge
1 links
IFAC-PapersOnLine
Advanced Battery Technologies Research
article

Unlocking electrochemical battery modelling: an open-source suite comparison methodology

F.S.J. Hoekstra, A.M. Aguilar, Alessio A. Lodge
article en

Abstract

This paper presents a methodology to compare open-source suites for electrochemical battery simulations in terms of simulation output and computation time. The proposed approach leverages the Battery Parameter eXchange standard to introduce a parameter porting framework that supports the implementation of equivalent cell parameters across suites, and provides a method for solver tolerance selection used for computational speed comparison. The methodology is showcased by comparing two of the most comprehensive open-source suites, PyBaMM and TOOFAB. While both provide lean model implementation, PyBaMM shows more versatility and faster mean simulation times, with TOOFAB closing the gap on simulations with coarser discretizations, particularly when order reductions are applied. Furthermore, considering portability to C and implementation simplicity, TOOFAB has a strong advantage.

IFAC-PapersOnLineVol. 59(5)
Netherlands Organisation for Applied Scientific Research (NL)
Affordable and clean energy
Openalex Percentile: Top 79%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.