Journal of energy storage最新文献_第2页

Smart and secure battery management: The role of artificial intelligence and edge computing in the next generation of electric vehicles 智能和安全的电池管理：人工智能和边缘计算在下一代电动汽车中的作用

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-04-20 Epub Date: 2026-03-10 DOI: 10.1016/j.est.2026.121465

Gaurav Kumar, Suresh Mikkili

The increasing adoption of lithium-ion (Li-ion) batteries in electric vehicles (EVs) has intensified the need for secure battery management systems (BMSs). It is crucial to secure the BMS. BMS is exposed to cybersecurity risks due to its dependency on communication technologies. It is vulnerable to cyberattacks such as data modification, interception, and denial-of-service (DoS) attacks, which may result in overcharging, undercharging, or thermal hazards of the battery. The aim of this paper is to develop and experimentally validate a secure local monitoring architecture for BMS data using encryption-based protection mechanisms. A password-protected encryption and decryption framework is used to protect important battery parameters like voltage, current, state of charge (SoC), temperature, and humidity. The proposed system utilizes AES-128 encryption deployed on a NodeMCU 32-bit microcontroller-based local web server. The process of encryption achieves an execution time of 1.2 ms with 811 transactions per second (TPS), while decryption requires 1.5 ms with 660 TPS. A 6S Li-ion battery bank (14.4 Wh, 600 mAh per cell) is used to validate system performance. This paper also presents an overview of cybersecurity threats in EV BMS, cell-balancing methods, SoC estimation methods, and the application of blockchain technology to put the proposed secure monitoring framework in context.

随着锂离子（Li-ion）电池在电动汽车（ev）中的应用越来越广泛，对安全电池管理系统（bms）的需求也越来越大。确保BMS的安全至关重要。BMS对通信技术的依赖使其面临网络安全风险。容易受到数据修改、拦截、DoS （denial-of-service）攻击等网络攻击，可能导致电池过充、欠充或热危害。本文的目的是开发和实验验证使用基于加密的保护机制的BMS数据的安全本地监控架构。密码保护的加密和解密框架用于保护重要的电池参数，如电压、电流、充电状态（SoC）、温度和湿度。该系统采用AES-128加密，部署在基于NodeMCU 32位微控制器的本地web服务器上。加密过程的执行时间为1.2 ms，每秒811个事务（TPS），解密需要1.5 ms，每秒660个事务（TPS）。一个6S锂离子电池组（每个电池14.4 Wh, 600 mAh）用于验证系统性能。本文还概述了EV BMS中的网络安全威胁、细胞平衡方法、SoC估计方法以及区块链技术的应用，以将所提出的安全监测框架置于上下文中。

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引用次数: 0

Influence of tube immersion and nano-Al₂O₃ paraffin–vaseline on thermodynamic performance of solar water heating 管浸和纳米al₂O₃石蜡-凡士林对太阳能热水热力学性能的影响

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-04-20 Epub Date: 2026-03-12 DOI: 10.1016/j.est.2026.121463

Haider Abdulah Khumais , Mehdi Razavifar , Miqdam Tariq Chaichan

This paper handles the problem of enhancing the efficiency of solar water heaters under the cold winter conditions of Baghdad, where limited sunlight and reduced temperatures decrease the efficiency of heating. This study experimentally evaluated two solar water heaters operating with a thermal siphon system outdoors during the cold winter of Baghdad. Five different PCM formulations were incorporated into and assessed in both heating systems, consisting of paraffin, a blend of paraffin, Vaseline, and nano-Al₂O₃. The study focused on the effect of pipe placement (either exposed above or submerged in the PCM tank) on energy, exergy, entropy generation, and irreversibility. The researchers (to the best of their knowledge) believe this is the first study to indicate the fundamental effect of the tube's position (exposed above the paraffin tank or fully submerged in it) on heat transfer, energy and exergy efficiency, and entropy generation for nighttime heating. PCM thermal conductivity was enhanced as much as 61.5% by the incorporation of 1 wt% nano-alumina, resulting in high heat transfer and storage.

The outdoor winter experiments recorded water temperature increases up to 38.1 °C and 42.3 °C in the two nano-paraffin-vaseline mixtures in heaters compared to plain water (15.1 °C and 14.1 °C, respectively) and unmodified paraffin mixtures (more than 18 °C). The heater with immersed pipes was more energy efficient (maximum 8.98% higher), exergy efficient (maximum 10% versus 8.5%), and had lower entropy generation and irreversibility, which meant fewer thermodynamic losses. These results highlight the thermal advantages of nanoparticle-enhanced PCMs and immersed pipe design in long-term utilization of heat retention to obtain better solar water heating within low-radiation conditions.

本文处理了在巴格达寒冷的冬季条件下提高太阳能热水器效率的问题，在那里有限的阳光和降低的温度降低了加热效率。本研究实验评估了在巴格达寒冷的冬季，在室外使用热虹吸系统的两台太阳能热水器。五种不同的PCM配方被纳入并在两种加热系统中进行了评估，包括石蜡、石蜡、凡士林和纳米al₂O₃。该研究的重点是管道放置（暴露在PCM罐上方或淹没在PCM罐中）对能量、火用、熵生成和不可逆性的影响。研究人员（据他们所知）认为，这是第一个表明管道位置（暴露在石蜡罐上方或完全淹没在石蜡罐中）对传热、能量和能源效率以及夜间供暖熵产的基本影响的研究。加入1wt %的纳米氧化铝可使PCM的导热系数提高61.5%，从而提高了传热和储热性能。室外冬季实验记录，与普通水（分别为15.1°C和14.1°C）和未改性石蜡混合物（超过18°C）相比，两种纳米石蜡-凡士林混合物在加热器中的水温分别升高38.1°C和42.3°C。采用浸入式管道的加热器能效更高（最高提高8.98%），火用效率更高（最高提高10%，高于8.5%），并且熵产和不可逆性更低，这意味着热力学损失更少。这些结果突出了纳米颗粒增强的pcm和浸入管设计在长期利用蓄热方面的热优势，从而在低辐射条件下获得更好的太阳能热水。

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引用次数: 0

Bi-objective optimization of hybrid renewable energy systems with ice storage vs. battery storage for sustainable dairy farming 冰蓄电与电池蓄电混合可再生能源系统的双目标优化

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-04-20 Epub Date: 2026-03-07 DOI: 10.1016/j.est.2026.121442

Marco Briceño-León , Guillermo Escrivá-Escrivá , Jean-Michel Clairand , Xavier Serrano-Guerrero

The integration of energy storage is key to the effective deployment of hybrid renewable energy systems in the agricultural sector. This paper presents a bi-objective optimization model to determine the optimal energy storage configuration for a sustainable dairy farm, conducting a direct techno-economic and environmental comparison between battery energy storage (BES) and ice-based cold thermal energy storage (CTES). Using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), the model minimizes net present cost and

C O_{2}

emissions for a case study farm in Ecuador, evaluating scenarios with photovoltaic, wind, biogas, and solar thermal technologies. The results indicate that both storage types are effective; however, ice storage stands out as the more cost-efficient option for reducing emissions in scenarios with high cooling demand. The scenario with renewable energy technologies such as PV, biogas, solar collectors, and ice storage achieved a 64% reduction in

C O_{2}

emissions. In contrast, batteries offer greater flexibility once the cooling demand is saturated. This study underscores that the choice of energy storage technology is a critical determinant in balancing sustainability and affordability for small-scale food processors.

能源存储的整合是农业部门有效部署混合可再生能源系统的关键。本文提出了一个双目标优化模型，以确定可持续奶牛场的最佳储能配置，并对电池储能（BES）和冰基冷热储能（CTES）进行了直接的技术经济和环境比较。该模型使用非主导排序遗传算法II (NSGA-II)，对厄瓜多尔的一个案例研究农场进行了评估，评估了光伏、风能、沼气和太阳能热技术的情景，最大限度地降低了净当前成本和二氧化碳排放。结果表明，两种储存方式均有效；然而，在高冷却需求的情况下，冰蓄冷作为减少排放的更具成本效益的选择脱颖而出。采用光伏、沼气、太阳能集热器和冰蓄热等可再生能源技术的方案，二氧化碳排放量减少了64%。相比之下，一旦冷却需求饱和，电池提供了更大的灵活性。这项研究强调，能源存储技术的选择是平衡小规模食品加工商的可持续性和可负担性的关键决定因素。

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引用次数: 0

Nested generalized game for common-energy-storage assisted community local energy sharing 基于嵌套广义对策的公共储能辅助社区局部能量共享

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-04-20 Epub Date: 2026-03-07 DOI: 10.1016/j.est.2026.121324

Li Ma , Wei Pei , Hao Xiao , Tieming Zhu , Xin Zhang , Tengfei Ma

The efficient allocation of common energy storage (CES) resources within a community faces challenges due to complex, coupled constraints involving nonlinear power flow, local energy-sharing mechanisms, and uncertainties in load and photovoltaic (PV) output . To address these inherent complexities, this study formulates the problem as a nested generalized game (NGG) and proposes a semi-decentralized computational framework. The solution employs an extended Column and Constraint Generation (C&CG) algorithm, which decomposes the NGG into master and subproblems. Specifically, iterative algorithms are designed to solve these subproblems in parallel and sequentially, ensuring operational fairness and protecting participant privacy. Simulation results on a 10-bus community system and the IEEE 69-bus test system demonstrate the efficacy of the approach, confirming rapid convergence within limited iterations. The proposed scheme proves practical for real-world applications, balancing solution quality with critical advantages in privacy and fairness.

由于非线性潮流、局部能量共享机制以及负荷和光伏输出的不确定性等复杂的耦合约束，社区内公共储能资源的有效配置面临挑战。为了解决这些固有的复杂性，本研究将问题表述为一个嵌套的广义博弈（NGG），并提出了一个半分散的计算框架。该解决方案采用扩展的列约束生成（C&；CG）算法，该算法将NGG分解为主问题和子问题。具体来说，设计迭代算法来并行和顺序地解决这些子问题，以确保操作的公平性和保护参与者的隐私。在10总线社区系统和IEEE 69总线测试系统上的仿真结果证明了该方法的有效性，在有限的迭代内实现了快速收敛。该方案在实际应用中证明了其实用性，平衡了解决方案质量与隐私和公平性的关键优势。

引用次数: 0

Experimental and numerical study on flow and heat transfer characteristics of series parallel flow channel liquid cooling plate for energy storage lithium iron phosphate battery module 储能磷酸铁锂电池组件串联并联流道液冷板流动传热特性的实验与数值研究

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-04-20 Epub Date: 2026-03-09 DOI: 10.1016/j.est.2026.121430

Wei Lu , Chengman Zhou , Lin Zhang , Qingliang Zhao , Zhiyou Zhan , Chengcheng Shi , Wenxin Qian , Bingjie Wu

In response to the heat dissipation problem of lithium iron phosphate batteries in the energy storage field, this paper proposes a series parallel channel liquid cooling plate (LCP). The LCP is equipped with multiple parallel channels connected by the confluence channel, and flat key structures of different sizes are arranged in the confluence channel, a flow-around structure is added near the inlet and outlet of the coolant to reduce flow dead zones and local low-speed areas, and optimize flow and heat transfer performance. Experimental and numerical studies on the flow and heat transfer characteristics of the LCP reveal that the optimal parameters are: coolant inlet temperature of 20 °C, inlet flow rate of 3 L/min, flow channel width D of 30 mm, flow channel depth H of 3.5 mm, and flow channel arrangement n of 3:4:4:3. Under these conditions, the T_max is 37.92 °C, the ΔT is 14.15 °C, and the T_SD is 0.719 °C, the ΔP is 1912.37 Pa, and the h is 276.33 W/(m²·K). Compared with the experimental LCP structure under the same working conditions, the T_max is reduced by 0.43%, the ΔT is reduced by 1.05%, and the T_SD is decreased by 3.94%, while the hydraulic thermal performance factor (HTPF) is improved by 2.3%. This significantly improves the temperature distribution of the battery module (BM) and achieves a balance between heat transfer performance and pressure drop.

针对储能领域磷酸铁锂电池的散热问题，本文提出了一种串联并联通道液冷板（LCP）。LCP配置由汇流通道连接的多个平行通道，汇流通道内设置不同尺寸的扁平关键结构，在冷却剂进出口附近增加绕流结构，减少流动死区和局部低速区，优化流动传热性能。实验和数值研究表明，最优参数为：冷却剂进口温度为20℃，进口流量为3 L/min，流道宽度D为30 mm，流道深度H为3.5 mm，流道布置n为3:4:4:3。在此条件下，Tmax为37.92℃，ΔT为14.15℃，TSD为0.719℃，ΔP为1912.37 Pa， h为276.33 W/（m2·K）。与实验LCP结构相比，相同工况下Tmax降低0.43%，ΔT降低1.05%，TSD降低3.94%，水力热性能因子（HTPF）提高2.3%。这大大改善了电池模块（BM）的温度分布，实现了传热性能和压降之间的平衡。

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引用次数: 0

Joint online estimation of state of charge and internal temperature of lithium-ion batteries with multi-task learning 基于多任务学习的锂离子电池充电状态和内部温度联合在线估计

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-04-20 Epub Date: 2026-03-11 DOI: 10.1016/j.est.2026.121468

Jiaqi Yao , Dominik Droese , Julia Kowal

An accurate online estimation of state of charge (SOC) is the cornerstone for a safe, efficient usage of the battery system, as well as vigilant thermal management, which relies critically on accurate temperature monitoring at locations that best reflect the thermal state. However, since temperature sensors are usually only installed on cell surfaces for reliability and safety reasons, the more informative internal temperature must be inferred indirectly from the available surface measurements. Meanwhile, the heat generation and SOC of a battery cell are often correlated with each other. Therefore, in this work, we place temperature sensors in the cell core area and cast the core temperature as state of internal temperature (SOIT) as a representative example for internal temperature monitoring of cylindrical lithium-ion cells, and propose a multi-task learning (MTL) framework, namely multi-scale multi-gate mixture-of-experts (MS-MMoE), utilizing temporal convolutional networks (TCNs) with different receptive fields (RFs) to capture the battery dynamics from different time scales for an accurate joint online estimation of SOC and SOIT. Detailed experimental results are presented under various testing scenarios, where the proposed MS-MMoE model outperforms the other MTL and single-task models in most cases and demonstrates sufficient capability to generalize on unseen cells, thereby verifying its industrial applicability. Considering the increasing demand for accurate, versatile battery state monitoring under realistic operating conditions, as well as the limited availability of internal temperature measurements, this work will support the development of next-generation intelligent BMS.

准确的在线充电状态（SOC）评估是电池系统安全、高效使用的基石，同时也是热管理的基石，热管理主要依赖于准确的温度监测，以最有效地反映热状态。然而，由于温度传感器通常只安装在电池表面的可靠性和安全性的原因，更有用的内部温度必须间接推断从可用的表面测量。同时，电池的发热量和荷电状态往往是相互关联的。因此，在本工作中，我们将温度传感器放置在电池核心区域，并将核心温度作为内部温度状态（SOIT）作为圆柱形锂离子电池内部温度监测的代表性示例，提出了一种多任务学习（MTL）框架，即多尺度多栅极混合专家（MS-MMoE）。利用具有不同感受场（RFs）的时间卷积网络（TCNs）捕获不同时间尺度的电池动态，以准确地联合在线估计SOC和SOIT。在各种测试场景下给出了详细的实验结果，所提出的MS-MMoE模型在大多数情况下优于其他MTL和单任务模型，并且具有足够的泛化能力，从而验证了其工业适用性。考虑到在实际操作条件下对精确、通用的电池状态监测的需求日益增加，以及内部温度测量的可用性有限，这项工作将支持下一代智能BMS的开发。

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引用次数: 0

Design principles for durable silicon–graphene anodes: Surface, interface, and structural engineering approaches 耐用硅-石墨烯阳极的设计原则：表面、界面和结构工程方法

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-04-20 Epub Date: 2026-03-09 DOI: 10.1016/j.est.2026.121449

Mustafa Khan , Liyuan Qian , Zhiqian Lin , Yun Wang , Chunhui Zou , Haibin Lin , Xiaofei Wang , Songbai Han , Jinlong Zhu

Silicon–graphene (Si–Gr) anodes represent one of the most promising pathways for advancing lithium-ion battery (LIB) performance beyond the limits of graphite. Silicon offers exceptional theoretical capacity but suffers from severe volume expansion, mechanical fracture, and unstable SEI formation. Graphene provides outstanding conductivity, mechanical robustness, and structural tunability, yet its intrinsic lithium storage capacity remains modest. This review critically examines recent progress across three interconnected domains: engineered Si architectures, advanced graphene morphologies, and Si–Gr hybrid systems. The discussion focuses on how nanoscale design, interface engineering, elastic and conductive binders, and prelithiation strategies collectively address these challenges. Emphasis is placed on structure–property–performance relationships, volumetric and gravimetric trade-offs, and manufacturing considerations that determine practical viability. By bridging mechanistic insights with emerging scalable fabrication routes, this review outlines the design principles and technological directions most likely to accelerate the transition of Si–Gr anodes from laboratory demonstrations to market-ready high-energy, fast-charging LIBs for electric mobility, grid storage, and next-generation electronics.

硅-石墨烯（Si-Gr）阳极是提高锂离子电池（LIB）性能的最有希望的途径之一，它超越了石墨的限制。硅具有优异的理论容量，但存在严重的体积膨胀、机械断裂和不稳定的SEI地层。石墨烯具有出色的导电性、机械稳健性和结构可调性，但其固有的锂存储容量仍然适中。本文回顾了三个相互关联的领域的最新进展：工程硅结构、先进石墨烯形态和Si - gr混合系统。讨论的重点是纳米级设计、界面工程、弹性和导电粘合剂以及预锂化策略如何共同应对这些挑战。重点放在结构-性能-性能关系，体积和重量的权衡，以及决定实际可行性的制造考虑。通过将机械见解与新兴的可扩展制造路线相结合，本综述概述了最有可能加速Si-Gr阳极从实验室演示到市场就绪的高能、快速充电锂电池的过渡的设计原则和技术方向，用于电动汽车、电网存储和下一代电子产品。

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引用次数: 0

Efficient CuS/CoS/rGO based multicomponent nanocomposites as high-performance electrode materials for asymmetric supercapacitors 高效cu /CoS/rGO基多组分纳米复合材料作为非对称超级电容器的高性能电极材料

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-04-20 Epub Date: 2026-03-09 DOI: 10.1016/j.est.2026.121337

Satyabrata Sahoo, Vinitha Annachi, Murugan Eagambaram

Designing efficient electroactive nanocomposites for supercapacitor applications has attracted significant research interest. In this study, three multicomponent nanocomposites 2CuS/CoS/rGO, CuS/2CoS/rGO, and CuS/CoS/rGO were synthesized by varying the Cu/Co ratio through a solvothermal method. The resulting materials were characterized using XRD, FTIR, Raman, SEM, XPS, and BET to evaluate structure, morphology, and surface properties. Electrochemical performance was assessed by cyclic voltammetry (CV), galvanostatic charge–discharge (GCD), and electrochemical impedance spectroscopy (EIS). The solvothermal synthesis improved surface area and crystallinity, directly enhancing charge storage behaviour. Among the composites, 2CuS/CoS/rGO demonstrated the highest performance, delivering a specific capacitance of 636 Cg⁻¹ at 1 A g⁻¹ (176.67 mAh g⁻¹). Moreover, it achieved an energy density of 44.16 Wh kg⁻¹ with a power density of 250 W kg⁻¹, and the stability retained 94.5% of capacitance with nearly 99.7% coulombic efficiency after 5000 cycles at 10 A g⁻¹, highlighting excellent stability along with low internal resistance and rapid charge transfer kinetics. The incorporation of rGO provided high conductivity and effective nanoparticle dispersion, promoting efficient electron transport during redox reactions. Overall, 2CuS/CoS/rGO emerges as a superior electrode material, holding strong promise for the fabrication of next-generation renewable energy storage devices.

设计高效的电活性纳米复合材料用于超级电容器已经引起了广泛的研究兴趣。本研究采用溶剂热法，通过改变Cu/Co比合成了三种多组分纳米复合材料：2cu /CoS/rGO、Cu/ 2CoS/rGO和Cu/ CoS/rGO。利用XRD、FTIR、Raman、SEM、XPS和BET对材料进行了表征，评价了材料的结构、形貌和表面性能。采用循环伏安法（CV）、恒流充放电法（GCD）和电化学阻抗谱法（EIS）评价其电化学性能。溶剂热合成提高了表面面积和结晶度，直接增强了电荷存储行为。在这些复合材料中，2cu /CoS/rGO表现出最高的性能，在1 a g−1 （176.67 mAh g−1）时提供636 Cg−1的比电容。此外，它的能量密度为44.16 Wh kg - 1，功率密度为250 W kg - 1，在10 a g - 1下循环5000次后，稳定性保持了94.5%的电容，库仑效率接近99.7%，突出了优异的稳定性以及低内阻和快速的电荷转移动力学。氧化石墨烯的掺入提供了高导电性和有效的纳米颗粒分散，促进了氧化还原反应中有效的电子传递。总的来说，2CuS/CoS/rGO作为一种优越的电极材料，在制造下一代可再生能源存储设备方面具有很强的前景。

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引用次数: 0

High-performance NASICON-type Na2FeTi(PO4)3@C cathode material for sodium-ion batteries 高性能nasicon型Na2FeTi(PO4)3@C钠离子电池正极材料

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-04-20 Epub Date: 2026-03-10 DOI: 10.1016/j.est.2026.121419

Shaoxiong Liu , Pei He , Ziyan Wang , Wentao Qu , Zhifeng Huang , Li Liu

Sodium-ion batteries (SIBs) are considered the most promising candidates to replace lithium-ion batteries (LIBs), with NASICON-type electrode materials receiving widespread attention due to the stability of their crystal structure. In this study, NASICON-type Na₂FeTi(PO₄)₃@C (NFTP@C) has been successfully synthesized using a simple sol-gel method and studied as a cathode electrode in SIBs. The material, featuring dual transition metals Fe and Ti, undergoes multi-step redox reactions, resulting in a wide operating voltage range. The carbon in NFTP@C composite enhances its conductivity and prevents the pulverization of active materials during charge and discharge processes. The experimental results demonstrate that NFTP@C exhibits outstanding electrochemical performance. NFTP@C delivers a discharge specific capacity of 111 mA h·g⁻¹ at 20 mA·g⁻¹, and even when the current increases to 1000 mA·g⁻¹, it still shows high specific capacity of 86 mAh·g⁻¹. Meanwhile, it could deliver an initial discharge specific capacity of 91 mA h·g⁻¹ at a current density of 500 mA·g⁻¹, and after 1500 cycles, the capacity retention rate is 94.2%. Moreover, when subjected to low-temperature environments of 0 °C and −10 °C, NFTP@C also displays promising rate capability and excellent cycle stability. Besides, NFTP@C electrode also displays good applications in sodium full-cell. This material provides a new direction for researching high-performance NASICON-type SIBs cathode materials.

钠离子电池（SIBs）被认为是最有希望取代锂离子电池（LIBs）的材料，nasicon型电极材料因其晶体结构的稳定性而受到广泛关注。本研究采用简单的溶胶-凝胶法成功合成了nasicon型Na2FeTi(PO4)3@C (NFTP@C)，并对其作为sib的阴极电极进行了研究。该材料具有双过渡金属铁和钛，经过多步氧化还原反应，产生宽的工作电压范围。NFTP@C复合材料中的碳提高了其导电性，防止了在充放电过程中活性物质的粉末化。实验结果表明，NFTP@C具有优异的电化学性能。NFTP@C在20 mA·g−1时的放电比容量为111 mAh·g−1，即使电流增加到1000 mA·g−1，其比容量仍高达86 mAh·g−1。同时，在500 mA·g−1电流密度下，其初始放电比容量为91 mA h·g−1，循环1500次后，容量保持率为94.2%。此外，NFTP@C在0°C和- 10°C的低温环境下也表现出良好的速率能力和良好的循环稳定性。此外，NFTP@C电极在钠全电池中也有很好的应用。该材料为高性能nasicon型SIBs正极材料的研究提供了新的方向。

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引用次数: 0

In situ constructed amino-functionalized nickel metal-organic framework derived CoMoO4/NiS heterostructures for high-performance asymmetric supercapacitors 用于高性能非对称超级电容器的原位构建氨基功能化镍金属有机骨架衍生CoMoO4/NiS异质结构

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-04-20 Epub Date: 2026-03-06 DOI: 10.1016/j.est.2026.121435

Zhengwei Li , Songwen Fang , Yanfei Zeng , Qifan Liu , Tonghan Yang , Dongliang Yan

Amino-functionalized nickel metal-organic framework-derived CoMoO₄/NiS heterostructures (NH₂-Ni-BDC/CoMoO₄/NiS) were synthesized via a two-step hydrothermal route using amino-functionalized Ni-MOFs (NH₂-Ni-BDC) as the precursor. The introduction of amino groups effectively regulates the nanosheet morphology, promotes ion diffusion, and facilitates the in situ formation of CoMoO₄ nanorods and NiS nanoparticles. Benefiting from the synergistic integration of the heterostructure and the amino-functionalized MOF-derived architecture, the composite electrode delivers a high specific capacitance of 1090 F g⁻¹ at 1 A g⁻¹ and exhibits 73% capacitance retention after 4000 cycles, remaining at approximately 65% after 10,000 cycles with stable Coulombic efficiency. When assembled into an asymmetric supercapacitor, the device delivers an energy density of 53.4 Wh kg⁻¹ at 749.5 W kg⁻¹ and maintains 30.7 Wh kg⁻¹ at 8008.7 W kg⁻¹. These results demonstrate the potential of amino-functionalized MOF-derived composites as promising electrode materials for advanced energy storage devices.

以氨基功能化Ni-MOFs （NH2-Ni-BDC）为前驱体，采用两步水热法合成了氨基功能化镍金属-有机骨架衍生的CoMoO4/NiS异质结构（NH2-Ni-BDC/CoMoO4/NiS）。氨基的引入有效地调控了纳米片的形貌，促进了离子的扩散，促进了CoMoO4纳米棒和NiS纳米颗粒的原位形成。得益于异质结构和氨基功能化mof衍生结构的协同集成，复合电极在1 a g−1时具有1090 F g−1的高比电容，在4000次循环后保持73%的电容，在10,000次循环后保持约65%的电容，并具有稳定的库仑效率。当组装成非对称超级电容器时，该器件在749.5 W kg - 1时提供53.4 Wh kg - 1的能量密度，在8008.7 W kg - 1时保持30.7 Wh kg - 1。这些结果证明了氨基功能化mof衍生复合材料作为先进储能装置的极具潜力的电极材料。

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引用次数: 0