Опубликована: Янв. 1, 2025
Язык: Английский
Опубликована: Янв. 1, 2025
Язык: Английский
Chemical Science, Год журнала: 2024, Номер 15(31), С. 12189 - 12199
Опубликована: Янв. 1, 2024
Potassium-ion batteries (PIBs) are considered potential candidates for large-scale energy storage systems due to the abundant resources of potassium. Among various reported anode materials, bismuth anodes with advantages high theoretical specific capacity, low cost, and nontoxicity have attracted widespread attention. However, experience significant volume changes during charge/discharge process, leading unsatisfactory cycling stability rate performance. In this review, we focus on summarizing research progress in PIBs. We discuss detail modification strategies PIBs, including electrolyte optimization, morphology design, hybridization carbon materials. addition, attempt propose possible future directions development aiming expedite their practical application. It is believed that review can assist researchers more efficiently designing high-performance materials
Язык: Английский
Процитировано
5EcoEnergy, Год журнала: 2024, Номер 2(3), С. 339 - 368
Опубликована: Июль 20, 2024
Abstract Despite the prevailing dominance of lithium‐ion batteries in consumer electronics and electric vehicle markets, growing apprehension over lithium availability has ignited a quest for alternative high‐energy‐density electrochemical energy storage systems. Rechargeable featuring calcium (Ca) metal as negative electrodes (anodes) present compelling prospects, promising notable advantages density, cost‐effectiveness, safety. However, unlocking full potential rechargeable Ca particularly hinges upon strategic identification or design positive electrode (cathode) materials. This imperative task demands expeditious synthetic routes tailored their meticulous design. In this Perspective , we mainly highlight development cathode materials accentuate unparalleled promise solid‐state metathesis designing diverse array high‐performance
Язык: Английский
Процитировано
4Carbon, Год журнала: 2024, Номер 229, С. 119526 - 119526
Опубликована: Авг. 6, 2024
Язык: Английский
Процитировано
4International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(21), С. 11841 - 11841
Опубликована: Ноя. 4, 2024
Black phosphorus (BP) and its two-dimensional derivative (2D-BP) have garnered significant attention as promising anode materials for electrochemical energy storage devices, including next-generation fast-charging batteries. However, the interactions between BP light metal ions, well how these influence BP’s electronic properties, remain poorly understood. Here, we employed density functional theory (DFT) to investigate effects of monovalent (Li+ Na+) divalent (Mg2+ Ca2+) ions on valence structure 2D-BP. Molecular orbital analysis revealed that adsorption cations can significantly reduce band gap, suggesting an enhancement in charge transfer rates. In contrast, had minimal impact preservation 2D-BP’s intrinsic electrical properties. Energetic analyses indicated extent primarily governs ability modulate structure, especially under high-pressure conditions where are close proximity 2D-BP surface. Moreover, polarization calculations that, compared with cations, induced greater polarization, disrupting symmetry pristine further influencing characteristics. These findings provide a molecular-level understanding ion properties during ion-intercalation processes, calculated diffusion barrier results potential effective material lithium-ion, sodium-ion, magnesium-ion batteries, though performance may be limited calcium-ion By extending our 2D-BP, this work contributes design efficient reliable technologies, particularly
Язык: Английский
Процитировано
4Chinese Journal of Structural Chemistry, Год журнала: 2024, Номер 43(5), С. 100271 - 100271
Опубликована: Март 13, 2024
Язык: Английский
Процитировано
3Energy Informatics, Год журнала: 2024, Номер 7(1)
Опубликована: Март 14, 2024
Abstract This research addresses the issue of State Charge (SOC) prediction for electric vehicle batteries by employing a dynamic Kalman neural network model. The model is optimized using Genetic algorithm to adjust weights. Additionally, strategy involving support vector machines optimization proposed. involves preprocessing data, selecting appropriate kernel functions training, and merging results enhance stability Results indicated that Dynamic Neural Network (DGKNN) achieved minimum error percentage only 0.1529% when correction coefficient was set 0.7. DGKNN consistently exhibited lowest percentage, average absolute error, mean square root handling small, medium, large datasets. For instance, in small dataset, 0.1518, 0.0604. findings demonstrated proposed high real-time accuracy predicting battery SOC, enabling monitoring operating parameters. method this study can accurately predict state charge, extend life packs, improve performance vehicles. It has important significance promoting development industry.
Язык: Английский
Процитировано
3Energy & Fuels, Год журнала: 2024, Номер 38(19), С. 18292 - 18311
Опубликована: Сен. 18, 2024
Язык: Английский
Процитировано
3Journal of Power Sources, Год журнала: 2025, Номер 630, С. 236168 - 236168
Опубликована: Янв. 6, 2025
Язык: Английский
Процитировано
0Ionics, Год журнала: 2025, Номер unknown
Опубликована: Фев. 7, 2025
Язык: Английский
Процитировано
0Chemistry - A European Journal, Год журнала: 2025, Номер unknown
Опубликована: Март 6, 2025
Recently, rechargeable calcium-ion batteries (CIB) have been investigated extensively due to their safety, environmental friendliness, abundant storage capacity, low cost, and energy density power characteristics. This paper presents a systematic review of recent research advancements in anode materials, including alloys, organic carbon-based transition metal oxide. First, the basic properties CIBs challenges associated with materials are described. Then, reaction mechanism improvement strategies for highlighted. Finally, advantages disadvantages identified summarized, potential future directions
Язык: Английский
Процитировано
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