Numerical study of the electrochemical–thermal–mechanical coupled mechanisms of the Li-ion batteries

Lithium-ion batteries constitute a complex multiscale system, integrating physical phenomena across particle, electrode, and cell levels. The development of porous electrode models that bridge microstructural characteristics with macroscopic performance provides a computational foundation for intelligent battery design. Mechanochemical interactions arising during cycling affect the electrochemical processes and significantly influence rate capability and degradation behavior. This study introduces ETMbatteryFoam, a multi-scale simulation framework developed in OpenFOAM, resolving coupled electrochemical–thermal–mechanical phenomena across particle, electrode, and cell scales. By extending traditional concentrated solution theory with small-strain continuum mechanics, the solver formulates a system of partial differential equations describing mass transport, charge conservation, interfacial reaction kinetics, and stress evolution. A segregated iterative algorithm enables full multi-physics simulations of 1C charge/discharge within 1.5 min. Validation against in situ swelling experiments shows less than 8% deformation prediction error for lithium nickel cobalt manganese oxide/graphite systems. The modular and extensible framework provides high-fidelity resolution of electrochemical–mechanical coupling, thereby directly supporting the development of next-generation high-power batteries.

Authors

Institutions

Publication Details

Journal
Journal of Applied Physics
Published
2025-12-17
DOI
https://doi.org/10.1063/5.0298741
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical study of the electrochemical–thermal–mechanical coupled mechanisms of the Li-ion batteries

Zhice Niu, Qiyu Chen, Zhe Li
Journal of Applied Physics
Advancements in Battery Materials
article

Numerical study of the electrochemical–thermal–mechanical coupled mechanisms of the Li-ion batteries

Zhice Niu, Qiyu Chen, Zhe Li
article en

Abstract

Lithium-ion batteries constitute a complex multiscale system, integrating physical phenomena across particle, electrode, and cell levels. The development of porous electrode models that bridge microstructural characteristics with macroscopic performance provides a computational foundation for intelligent battery design. Mechanochemical interactions arising during cycling affect the electrochemical processes and significantly influence rate capability and degradation behavior. This study introduces ETMbatteryFoam, a multi-scale simulation framework developed in OpenFOAM, resolving coupled electrochemical–thermal–mechanical phenomena across particle, electrode, and cell scales. By extending traditional concentrated solution theory with small-strain continuum mechanics, the solver formulates a system of partial differential equations describing mass transport, charge conservation, interfacial reaction kinetics, and stress evolution. A segregated iterative algorithm enables full multi-physics simulations of 1C charge/discharge within 1.5 min. Validation against in situ swelling experiments shows less than 8% deformation prediction error for lithium nickel cobalt manganese oxide/graphite systems. The modular and extensible framework provides high-fidelity resolution of electrochemical–mechanical coupling, thereby directly supporting the development of next-generation high-power batteries.

Journal of Applied PhysicsVol. 138(23)
State Key Laboratory of Vehicle NVH and Safety Technology (CN), Tsinghua University (CN)
Openalex Percentile: Top 59%
Advancements in Battery Materials
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.