A novel cobalt chloride hydrate modified Co-MOF derived carbon microspheres as anode materials for lithium ion batteries

Jiang, Lei; Liang, Fenghao; Zhang, Zhe; Wu, Daoning; Chai, Jiali; Luo, Tingting; Han, Ning; Zhang, Wei; Rui, Yichuan; Tang, Bohejin

doi:10.1016/j.cej.2021.133568

Cited by 37 publications

(14 citation statements)

References 40 publications

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“…It can be seen directly from the diameter of the fiber within 50 nm, and therefore the complex defects of electrode materials can improve the cycle stability, 5 which is means that an increased mechanical cushioning can be provided during the charge and discharge process in the anode system. 38 Figure 3C shows the carbon rod phases calcined in a high-temperature atmosphere. The Ag 0 loaded in the surface of Ag−C produced by high temperature can provide good conductivity, and the inter-connected curved structures can also disperse a lot of lithium ions during the charge and discharge processes.…”

Section: Resultsmentioning

confidence: 99%

“…The uniform morphology of the interconnected porous network of Ag-MOGs is demonstrated in Figure A,B, which reveals the porous and fibrous nature of the obtained Ag-MOGs. It can be seen directly from the diameter of the fiber within 50 nm, and therefore the complex defects of electrode materials can improve the cycle stability, which is means that an increased mechanical cushioning can be provided during the charge and discharge process in the anode system Figure C shows the carbon rod phases calcined in a high-temperature atmosphere.…”

Section: Resultsmentioning

confidence: 99%

“…With the increase of the scan rate, the pseudocapacitive behaviors dominate gradually. In fact, by reducing the size of Co 3 O 4 to nanoscale to increase the surface area, the material has more interfaces to quickly adsorb additional alkaline ions, thereby improving the electrochemical performance. ,− …”

Section: Resultsmentioning

confidence: 99%

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Nitrogen-Doped Porous Ag–C@Co₃O₄ Nanocomposite for Boosting Lithium Ion Batteries

et al. 2022

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In this work, nitrogen-doped Ag-based metal–organic gels (Ag-MOGs) are introduced for the first time in the field of lithium ion batteries (LIBs) with good electrochemical performances. As a novel approach of the nitrogen-doping method for LIBs, Ag–carbon (Ag–C) as the precursor is formed from Ag-MOGs and Co3O4 nanoparticles are prepared by different pyrolysis processes and maintain different particle sizes as the primary active materials. Co3O4 nanoparticles with smaller sizes (10–15 nm) covering the surface of Ag–C show good electrochemical performance because of the good conductivity of silver particles and the nitrogen doping of Ag–C. In particular, the composite shows a high rate capability of 516.4 mAh g–1 (5 A g–1) and strong cycling stability of 1275.78 mAh g–1 at the current density of 100 mA g–1 even after 100 cycles.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Nitrogen-Doped Porous Ag–C@Co₃O₄ Nanocomposite for Boosting Lithium Ion Batteries

et al. 2022

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“…Lithium-ion batteries (LIBs) have several advantages, including high energy density, a long service life, and a lack of memory effect. − Therefore, they are widely used in electric vehicles and portable devices and are also used for energy storage in power systems. However, non-emergency usage causes the continuous aging of LIBs, decreasing their actual capacity, affecting battery performance, and even causing serious accidents.…”

Section: Introductionmentioning

confidence: 99%

Secondary Structural Ensemble Learning Cluster for Estimating the State of Health of Lithium-Ion Batteries

et al. 2022

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Accurate online state-of-health (SOH) estimation can improve the operational efficiency of lithium-ion batteries (LIBs) and ensure the safety of energy storage systems. However, the complex electrochemical properties of LIBs make accurate SOH estimation challenging. To overcome this challenge, we propose a secondary structural ensemble learning (SSEL) cluster. The proposed SSEL cluster includes multiple SSEL frameworks established separately within different SOH data intervals, allowing the identification of stable feature–SOH relationships. The adaptability and basic accuracy of each SSEL framework are guaranteed by various base learners and the corresponding stacking model and bagging model fusion. Each framework remains unique and specialized owing to the adoption of back propagation neural networks, which adjust learner weights based on the feature–SOH relationship at each interval. The effectiveness of the SSEL cluster was verified using the Oxford Battery Degradation Dataset 1. Comparisons showed that the proposed estimation method performs better than traditional machine learning methods.

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confidence: 99%

Si-based Anode Lithium-Ion Batteries: A Comprehensive Review of Recent Progress

Li,

Chai

et al. 2023

ACS Materials Lett.

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Si-based anode materials offer significant advantages, such as high specific capacity, low voltage platform, environmental friendliness, and abundant resources, making them highly promising candidates to replace graphite anodes in the next generation of high specific energy lithium-ion batteries (LIBs). However, the commercialization of Si-based anodes for LIBs encounters significant barriers due to inherent challenges. These challenges encompass a range of issues, including poor electrical conductivity, substantial volume expansion during the lithiation−delithiation process, severe pulverization of the electrodes, pronounced thickening of the solid electrolyte interphase film, low Coulombic efficiency, and limited cycling performance. Each of these factors leads to the complexity of realizing the full potential of Si-based anodes in commercial LIBs applications. This review provides a comprehensive summary and discussion of recent research on Si-based LIB anodes, focusing on the microscopic morphology of Si and the development of Si-based composite materials. By offering a novel perspective, this review aims to provide an overview and insightful discussion of Sibased anodes. The latest research findings are presented, and innovative viewpoints and reasonable insights are addressed, shedding light on the potential solutions to overcome the limitations associated with Si-based anodes.

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A novel cobalt chloride hydrate modified Co-MOF derived carbon microspheres as anode materials for lithium ion batteries

Cited by 37 publications

References 40 publications

Nitrogen-Doped Porous Ag–C@Co₃O₄ Nanocomposite for Boosting Lithium Ion Batteries

Nitrogen-Doped Porous Ag–C@Co₃O₄ Nanocomposite for Boosting Lithium Ion Batteries

Secondary Structural Ensemble Learning Cluster for Estimating the State of Health of Lithium-Ion Batteries

Si-based Anode Lithium-Ion Batteries: A Comprehensive Review of Recent Progress

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A novel cobalt chloride hydrate modified Co-MOF derived carbon microspheres as anode materials for lithium ion batteries

Cited by 37 publications

References 40 publications

Nitrogen-Doped Porous Ag–C@Co3O4 Nanocomposite for Boosting Lithium Ion Batteries

Nitrogen-Doped Porous Ag–C@Co3O4 Nanocomposite for Boosting Lithium Ion Batteries

Secondary Structural Ensemble Learning Cluster for Estimating the State of Health of Lithium-Ion Batteries

Si-based Anode Lithium-Ion Batteries: A Comprehensive Review of Recent Progress

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Product

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Nitrogen-Doped Porous Ag–C@Co₃O₄ Nanocomposite for Boosting Lithium Ion Batteries

Nitrogen-Doped Porous Ag–C@Co₃O₄ Nanocomposite for Boosting Lithium Ion Batteries