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@INPROCEEDINGS{Ali:1016980,
author = {Ali, Haider Adel and Raijmakers, Luc and Danilov, Dmitri
and Notten, Peter H. L. and Eichel, Rüdiger-A.},
title = {{A} comparison between physics-based {L}i-ion battery
models},
reportid = {FZJ-2023-03887},
year = {2023},
abstract = {Physics-based electrochemical battery models are widely
used as powerful tools for simulating lithium-ion battery
behavior and for providing an understanding of the internal
physical and electrochemical processes. However, due to
their complexity and high computational demand, these models
may not be feasible for battery management systems (BMS) and
long-term aging simulations. Models with reduced order, such
as the Extended Single Particle Model (ESPM), Single
Particle Model (SPM), and Polynomial and Padé
approximations, calculating Fick's 2nd law, improve
calculation speed. However, choosing the appropriate
simplification approach for a particular cell type and
operating condition can be challenging. This study provides
insights into the simulation accuracy and calculation speed
of various reduced-order models for high-energy (HE) and
high-power (HP) batteries at various C-rates. Results are
compared to the DFN model.},
month = {Apr},
date = {2023-04-27},
organization = {Advanced battery power conference,
Aachen (Germany), 27 Apr 2023 - 28 Apr
2023},
subtyp = {After Call},
cin = {IEK-9},
cid = {I:(DE-Juel1)IEK-9-20110218},
pnm = {1223 - Batteries in Application (POF4-122) / LLEC::VxG -
Integration von "Vehicle-to-grid" (BMBF-03SF0628)},
pid = {G:(DE-HGF)POF4-1223 / G:(DE-Juel1)BMBF-03SF0628},
typ = {PUB:(DE-HGF)24},
url = {https://juser.fz-juelich.de/record/1016980},
}