Scale-Up of Physics-Based Models for Predicting Degradation of Large Lithium Ion Batteries

Hong-Keun Kim and Kyu-Jin Lee
Additional contact information
Hong-Keun Kim: Department of Mechanical & Aerospace Engineering, Seoul National University, Seoul 151-744, Korea
Kyu-Jin Lee: Department of Mechanical Engineering, Myongji University, Yongin 448-728, Korea

Sustainability, 2020, vol. 12, issue 20, 1-18

Abstract: Large lithium-ion batteries (LIBs) demonstrate different performance and lifetime compared to small LIB cells, owing to the size effects generated by the electrical configuration and property imbalance. However, the calculation time for performing life predictions with three-dimensional (3D) cell models is undesirably long. In this paper, a lumped cell model with equivalent resistances (LER cell model) is proposed as a reduced order model of the 3D cell model, which enables accurate and fast life predictions of large LIBs. The developed LER cell model is validated via the comparisons with results of the 3D cell models by simulating a 20-Ah commercial pouch cell (NCM/graphite) and the experimental values. In addition, the LER cell models are applied to different cell types and sizes, such as a 20-Ah cylindrical cell and a 60-Ah pouch cell.

Keywords: large sized lithium-ion battery; physics-based model; life prediction; scale-up model; reduced order cell model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/20/8544/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/20/8544/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:20:p:8544-:d:428739

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().