Progress and perspective of doping strategies for lithium cobalt oxide materials in lithium-ion batteries

Energy storage materials, Journal Year: 2024, Volume and Issue: 71, P. 103666 - 103666

Published: July 31, 2024

Language: Английский

---

Stabilizing 4.6 V LiCoO₂ via Er and Mg Trace Doping at Li‐Site and Co‐Site Respectively

Small, Journal Year: 2024, Volume and Issue: 20(29)

Published: Feb. 16, 2024

Charging LiCoO

Language: Английский

---

Layered oxide cathode with Nb-containing composite coating layer for high-rate and long-life all-solid-state lithium-ion batteries

Journal of Power Sources, Journal Year: 2025, Volume and Issue: 641, P. 236821 - 236821

Published: March 24, 2025

Language: Английский

---

Recycling and regeneration of failed layered oxide cathode materials for lithium-ion batteries

Materials Horizons, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

With broad usage of lithium-ion batteries (LIBs) in electronic devices and electric vehicles (EVs), a large number decommissioned LIBs will be generated, which cause serious environmental pollution waste resources.

Language: Английский

---

Upcycling of Low‐Value Cathode Materials from Spent Lithium‐Ion Battery to High‐Voltage Cathode with Ultrahigh Rate Capability and Reversibility

Advanced Energy Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Abstract LiMn 2 O 4 and LiFePO materials are widely applied in electric vehicles energy storage. Currently, spent recycling is challenged by long process, high consumption, poor economy due to the indispensable metal separation their recycling. Aiming at this challenge, an upcycling of low‐value cathode high‐value high‐voltage lithium ferromanganese phosphate (LMFP) simple leaching hydrothermal reaction proposed, LMFP material with ultrahigh rate capability reversibility its homogenized element distribution, well‐defined nanorods particles, short Fe/Mn─O bond average Li─O length regenerated. The initial discharge capacity reaches 144.2 mAh g −1 87% retention after 1000 cycles 1 C. Even cycling 5 C, a 136.9 86.4% achieved cycles. Kinetics analysis characterizations regenerated further reveal fast diffusion ability stable structure. This work sheds light on potential value regeneration offers economic strategy for materials.

Language: Английский

---

In‐device Battery Failure Analysis

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Lithium-ion batteries are indispensable power sources for a wide range of modern electronic devices. However, battery lifespan remains critical limitation, directly affecting the sustainability and user experience. Conventional failure analysis in controlled lab settings may not capture complex interactions environmental factors encountered real-world, in-device operating conditions. This study analyzes commercial wireless earbud as model system within their intended usage context. Through multiscale multimodal characterizations, degradations from material level to device correlated, elucidating pattern that is closely tied specific configuration The findings indicate ultimate mode determined by interplay materials, cell structural design, microenvironment, such temperature gradients fluctuations. holistic, perspective on influences provides insights integration enhancing reliability electronics.

Language: Английский

---

Equations and Electrochemical Methods for Measuring the Interfacial Charge-Transfer Kinetics of Li-ion Battery Active Materials at High Current Densities

Electrochimica Acta, Journal Year: 2025, Volume and Issue: 520, P. 145875 - 145875

Published: Feb. 17, 2025

Language: Английский

---

Stabilizing 4.6 V LiCoO₂ by Lithium Compensative Additives

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: 17(9), P. 13872 - 13880

Published: Feb. 19, 2025

The 4.6 V-class LiCoO2/SiOx full cell exhibits an ultrahigh energy density. However, a large amount of Li+ ions are consumed by the SiOx anode in initial cycle, bringing lithium deficiency issue to battery system and aggravating structural degradation LiCoO2 (LCO) at high voltages. In this study, we demonstrate that via adding sacrificial compensative additive (LCA) Li2NiO2 (LNO), capacity cycling performance V can be effectively improved. Comprehensive investigations on its working mechanisms reveal LNO irreversibly release cycles, which alter delithiation equilibrium LCO mitigate formation lithium-deficient layers, as evidenced situ X-ray diffraction (XRD), Raman spectroscopy, transmission electron microscopy (TEM) results. These results prove utilizing LCA is promising strategy stabilize voltages systems, enlightening other cathodes.

Language: Английский

---

Synthesis and investigation on the structural and complex impedance analysis in LISICON compound, Li3Al2(PO4)3, for solid electrolyte battery applications

Journal of Materials Science Materials in Electronics, Journal Year: 2025, Volume and Issue: 36(5)

Published: Feb. 1, 2025

Language: Английский

---

Machine Learning-Assisted Design of Doping Strategies for High-Voltage LiCoO2: A Data-Driven Approach

Batteries, Journal Year: 2025, Volume and Issue: 11(3), P. 100 - 100

Published: March 7, 2025

Doping lithium cobalt oxide (LiCoO2) cathode materials is an effective strategy for mitigating the detrimental phase transitions that occur at high voltages. A deep understanding of relationships between cycle capacity and design elements doped LiCoO2 critical overcoming existing research limitations. The key lies in constructing a robust interpretable mapping model data performance. In this study, we analyze correlations features 158 different element-doped systems by using five advanced machine learning algorithms. First, conducted feature election to reduce overfitting through combined approach mechanistic analysis Pearson correlation analysis. Second, experimental results revealed RF XGBoost are two best-performing models fitting. Specifically, have highest fitting performance IC EC prediction, with R2 values 0.8882 0.8318, respectively. Experiments focusing on ion electronegativity verified effectiveness optimal model. We demonstrate benefits uncovering core complex formulation design. Furthermore, these can be employed search superior electrochemical processing conditions. future, aim develop more accurate efficient algorithms explore microscopic mechanisms affecting layered material design, thereby establishing new paradigms high-performance batteries.

Language: Английский

---