guest ::
| Home > Publications database > A comparison between physics-based Li-ion battery models > print |
| 001 | 1026448 | ||
| 005 | 20250204113855.0 | ||
| 024 | 7 | _ | |a 10.1016/j.electacta.2024.144360 |2 doi |
| 024 | 7 | _ | |a 0013-4686 |2 ISSN |
| 024 | 7 | _ | |a 1873-3859 |2 ISSN |
| 024 | 7 | _ | |a 10.34734/FZJ-2024-03397 |2 datacite_doi |
| 024 | 7 | _ | |a WOS:001240580700001 |2 WOS |
| 037 | _ | _ | |a FZJ-2024-03397 |
| 082 | _ | _ | |a 540 |
| 100 | 1 | _ | |a Ali, Haider Adel |0 P:(DE-Juel1)190784 |b 0 |e First author |
| 245 | _ | _ | |a A comparison between physics-based Li-ion battery models |
| 260 | _ | _ | |a New York, NY [u.a.] |c 2024 |b Elsevier |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1719814552_15364 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Physics-based electrochemical battery models, such as the Doyle-Fuller-Newman (DFN) model, are valuable tools for simulating Li-ion battery behavior and understanding internal battery processes. However, the complexity and computational demands of such models limit their applicability for battery management systems and long-term aging simulations. Reduced-order models (ROMs), such as the Extended Single Particle Model (ESPM), Single Particle Model (SPM) and Polynomial and Padé approximations, here all referred to as simplifications, lead to faster computational speeds. Choosing the appropriate simplification method for a specific cell type and operating condition is a challenge. This study investigates the simulation accuracy and calculation speed of various simplifications for high-energy (HE) and high-power (HP) batteries at different current loading conditions and compares those to the full-order DFN model. The results indicate that among the ROMs, the ESPM consistently offers the best combination of high computational speed and relatively good accuracy in most conditions in comparison to the full-order DFN model. Among the approximations, higher-order polynomial approximation, third and fourth-order Padé approximation perform the best in terms of accuracy. The higher-order polynomial approximation shows an advantage in terms of computing speed, while the fourth-order Padé approximation achieves the highest overall accuracy among the different approximations. |
| 536 | _ | _ | |a 1223 - Batteries in Application (POF4-122) |0 G:(DE-HGF)POF4-1223 |c POF4-122 |f POF IV |x 0 |
| 536 | _ | _ | |a LLEC::VxG - Integration von "Vehicle-to-grid" (BMBF-03SF0628) |0 G:(DE-Juel1)BMBF-03SF0628 |c BMBF-03SF0628 |x 1 |
| 536 | _ | _ | |a BMBF 13XP0530B - ALIBES: Aluminium-Ionen Batterie für Stationäre Energiespeicher (13XP0530B) |0 G:(BMBF)13XP0530B |c 13XP0530B |x 2 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Raijmakers, Luc |0 P:(DE-Juel1)176196 |b 1 |e Corresponding author |
| 700 | 1 | _ | |a Chayambuka, Kudakwashe |0 P:(DE-Juel1)186070 |b 2 |
| 700 | 1 | _ | |a Danilov, Dmitri |0 P:(DE-Juel1)173719 |b 3 |
| 700 | 1 | _ | |a Notten, Peter H. L. |0 P:(DE-Juel1)165918 |b 4 |
| 700 | 1 | _ | |a Eichel, Rüdiger-A. |0 P:(DE-Juel1)156123 |b 5 |u fzj |
| 773 | _ | _ | |a 10.1016/j.electacta.2024.144360 |g Vol. 493, p. 144360 - |0 PERI:(DE-600)1483548-4 |p 144360 - |t Electrochimica acta |v 493 |y 2024 |x 0013-4686 |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/1026448/files/1-s2.0-S0013468624006029-main.pdf |
| 856 | 4 | _ | |y OpenAccess |x icon |u https://juser.fz-juelich.de/record/1026448/files/1-s2.0-S0013468624006029-main.gif?subformat=icon |
| 856 | 4 | _ | |y OpenAccess |x icon-1440 |u https://juser.fz-juelich.de/record/1026448/files/1-s2.0-S0013468624006029-main.jpg?subformat=icon-1440 |
| 856 | 4 | _ | |y OpenAccess |x icon-180 |u https://juser.fz-juelich.de/record/1026448/files/1-s2.0-S0013468624006029-main.jpg?subformat=icon-180 |
| 856 | 4 | _ | |y OpenAccess |x icon-640 |u https://juser.fz-juelich.de/record/1026448/files/1-s2.0-S0013468624006029-main.jpg?subformat=icon-640 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1026448 |p openaire |p open_access |p OpenAPC_DEAL |p driver |p VDB |p openCost |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)190784 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)176196 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)186070 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)173719 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)165918 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)156123 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 5 |6 P:(DE-Juel1)156123 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Materialien und Technologien für die Energiewende (MTET) |1 G:(DE-HGF)POF4-120 |0 G:(DE-HGF)POF4-122 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Elektrochemische Energiespeicherung |9 G:(DE-HGF)POF4-1223 |x 0 |
| 914 | 1 | _ | |y 2024 |
| 915 | p | c | |a APC keys set |2 APC |0 PC:(DE-HGF)0000 |
| 915 | p | c | |a Local Funding |2 APC |0 PC:(DE-HGF)0001 |
| 915 | p | c | |a DFG OA Publikationskosten |2 APC |0 PC:(DE-HGF)0002 |
| 915 | p | c | |a DEAL: Elsevier 09/01/2023 |2 APC |0 PC:(DE-HGF)0125 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-08-24 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-08-24 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2024-12-09 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2024-12-09 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |d 2024-12-09 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2024-12-09 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b ELECTROCHIM ACTA : 2022 |d 2024-12-09 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2024-12-09 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2024-12-09 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2024-12-09 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2024-12-09 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b ELECTROCHIM ACTA : 2022 |d 2024-12-09 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IEK-9-20110218 |k IEK-9 |l Grundlagen der Elektrochemie |x 0 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)IEK-9-20110218 |
| 980 | _ | _ | |a APC |
| 981 | _ | _ | |a I:(DE-Juel1)IET-1-20110218 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|