Initial Coulombic Efficiency as a Descriptor of Structural Evolution in Layered Cathode Materials

Maximizing energy density in Lithium-ion batteries requires careful attention to the initial coulombic efficiency (ICE) of the cathode. Even among layered metal oxides, the ICE of ternary cathodes (NCM) and lithium cobalt oxide (LCO) shows significant differences. Nevertheless, the fundamental causes of ICE loss remain poorly understood, particularly in distinguishing between kinetic and structural contributions. In this study, the mechanisms behind ICE loss in layered cathodes are systematically investigated. By introducing apparent and real irreversible capacities and their relationship with charging cut-off voltage and ICE, the roles of lithium-ion diffusion and structural degradation is differentiate, positioning ICE as a physical descriptor that correlates with phase transitions and structural evolution. For LiNi<sub>0.8</sub>Co<sub>0.1</sub>Mn<sub>0.1</sub>O<sub>2</sub> (NCM811), below 4.1 V, the irreversible capacity loss originates almost entirely from lithium diffusion kinetics at the end of discharge, which can be recovered through constant-voltage discharge and shows a certain correlation with the reversible phase transition. Above 4.1 V, real irreversible capacity arises due to irreversible phase transitions and lattice distortion. These results establish a direct link between ICE and structural changes, positioning ICE as a key diagnostic tool for probing phase transitions in layered cathodes and offering insights for the design of next-generation, high-efficiency materials.

Authors

Institutions

Publication Details

Journal
Small
Published
2025-11-10
DOI
https://doi.org/10.1002/smll.202509868
Citations
1
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Initial Coulombic Efficiency as a Descriptor of Structural Evolution in Layered Cathode Materials

Yunhui Huang, Ge Qu, Chao Wang, Fangzhou Yang
1 citations
Small
Advancements in Battery Materials
0.73
article

Initial Coulombic Efficiency as a Descriptor of Structural Evolution in Layered Cathode Materials

Yunhui Huang, Ge Qu, Chao Wang, Fangzhou Yang
article en
1 citations

Abstract

Maximizing energy density in Lithium-ion batteries requires careful attention to the initial coulombic efficiency (ICE) of the cathode. Even among layered metal oxides, the ICE of ternary cathodes (NCM) and lithium cobalt oxide (LCO) shows significant differences. Nevertheless, the fundamental causes of ICE loss remain poorly understood, particularly in distinguishing between kinetic and structural contributions. In this study, the mechanisms behind ICE loss in layered cathodes are systematically investigated. By introducing apparent and real irreversible capacities and their relationship with charging cut-off voltage and ICE, the roles of lithium-ion diffusion and structural degradation is differentiate, positioning ICE as a physical descriptor that correlates with phase transitions and structural evolution. For LiNi<sub>0.8</sub>Co<sub>0.1</sub>Mn<sub>0.1</sub>O<sub>2</sub> (NCM811), below 4.1 V, the irreversible capacity loss originates almost entirely from lithium diffusion kinetics at the end of discharge, which can be recovered through constant-voltage discharge and shows a certain correlation with the reversible phase transition. Above 4.1 V, real irreversible capacity arises due to irreversible phase transitions and lattice distortion. These results establish a direct link between ICE and structural changes, positioning ICE as a key diagnostic tool for probing phase transitions in layered cathodes and offering insights for the design of next-generation, high-efficiency materials.

SmallVol. 21(50)
Tongji University (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 22%
Advancements in Battery Materials
0.73
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.