Ternary Inert Element Co‐Doping: a New Approach to Stable 4.7 V LiCoO <sub>2</sub>

LiCoO<sub>2</sub> (LCO) has long dominated the cathode materials in portable electronic batteries due to its high volumetric energy density. However, the pursuit of higher voltages to achieve larger capacities remains a challenge due to severer structural degradation. Herein, a ternary inert element co-doping strategy that can greatly improve the structure stability of LCOs at elevated voltages is reported. Mg and Ni doping at Li site support the layered structure in the highly delithiated state, while Ni also facilitates the separation of O 2p and Co 3d orbits, thereby suppressing oxygen loss. Meanwhile, Al doping at Co site suppresses the distortion of Co-O octahedra and stabilizes the Co layers. The synergistic effects of Al, Mg and Ni co-doping inhibit the irreversible H3-H1-3 phase transitions and mitigate internal stress accumulation. The Al-Mg-Ni co-doped LCO exhibits a capacity of 221 mAh g<sup>-1</sup> with a capacity retention of 65.5% after 1500 cycles at 4.6 V. At a higher voltage of 4.7 V, it delivers a capacity of 225.8 mAh g<sup>-1</sup> with a capacity retention of 58.6% after 600 cycles. This multiple inert elements co-doping strategy gives an effective method for stabilizing the high-voltage LCO and other related layered oxide materials.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2025-06-13
DOI
https://doi.org/10.1002/adma.202506228
Citations
16
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
11.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ternary Inert Element Co‐Doping: a New Approach to Stable 4.7 V LiCoO 2

Jian Gao, Xiaolei Li, Xiaolong Zhu, Li Han et al.
16 citations
Advanced Materials
Advancements in Battery Materials
11.69
article

Ternary Inert Element Co‐Doping: a New Approach to Stable 4.7 V LiCoO 2

Jian Gao, Xiaolei Li, Xiaolong Zhu, Li Han, Dong Liu, Weidong Zhou, Jieshan Qiu, Yihao Zhang
article en
16 citations

Abstract

LiCoO<sub>2</sub> (LCO) has long dominated the cathode materials in portable electronic batteries due to its high volumetric energy density. However, the pursuit of higher voltages to achieve larger capacities remains a challenge due to severer structural degradation. Herein, a ternary inert element co-doping strategy that can greatly improve the structure stability of LCOs at elevated voltages is reported. Mg and Ni doping at Li site support the layered structure in the highly delithiated state, while Ni also facilitates the separation of O 2p and Co 3d orbits, thereby suppressing oxygen loss. Meanwhile, Al doping at Co site suppresses the distortion of Co-O octahedra and stabilizes the Co layers. The synergistic effects of Al, Mg and Ni co-doping inhibit the irreversible H3-H1-3 phase transitions and mitigate internal stress accumulation. The Al-Mg-Ni co-doped LCO exhibits a capacity of 221 mAh g<sup>-1</sup> with a capacity retention of 65.5% after 1500 cycles at 4.6 V. At a higher voltage of 4.7 V, it delivers a capacity of 225.8 mAh g<sup>-1</sup> with a capacity retention of 58.6% after 600 cycles. This multiple inert elements co-doping strategy gives an effective method for stabilizing the high-voltage LCO and other related layered oxide materials.

Advanced MaterialsVol. 37(35)
Beijing University of Chemical Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, Key Technologies Research and Development Program
Openalex Percentile: Top 1%
Advancements in Battery Materials
11.69
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.