Journal of energy storage最新文献_第7页

Multi-coupled states joint estimation algorithm for lithium battery based on multi domain hybrid model 基于多域混合模型的锂电池多耦合状态联合估计算法

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-02-05 DOI: 10.1016/j.est.2026.120960

Fang Liu , Jiayi Liu , Weixing Su

Aiming at the requirements of wide temperature, wide power, and wide discharge depth scenarios for electric vehicles (EV), while focusing on multi-coupled states joint estimation in EV power batteries and the accurate expression of the electro-thermal complex coupling relationship (E/T-CCR), a multi-coupled states joint estimation algorithm for lithium batteries based on multi-domain hybrid model (MDHM) is proposed. Accurate modeling for E/T-CCR is proposed. That is, the characteristics of the battery in the electrical domain and thermal domain are accurately expressed through a bidirectional mapping model established in the coupling domain to form the MDHM. Furthermore, based on the coupled state space equations derived from the MDHM, considering the advantages of filtering methods in terms of stability, robustness, generalization ability, complexity, and data dependence, a dual-filter structure based on adaptive square root unscented Kalman filter (ASRUKF) is proposed to achieve multi-state joint estimation and coupling domain stability correction. Meanwhile, the state of power (SOP) estimation considering multi-constraints including state of temperature (SOT) is realized. The proposed algorithm is compared with 2 typical multi-state joint estimation algorithms based on electro-thermal coupling model (ETCM) in 12 temperature scenarios under 3 dynamic operating conditions including aging for 2 types of batteries. The results show that the proposed algorithm has better accuracy and dynamic tracking performance. Compared with 3 deep network models (DNM) algorithms. The results show that the proposed algorithm has a good balance between accuracy and complexity. It can achieve joint estimation of the 4 key battery states.

针对电动汽车对宽温度、宽功率、宽放电深度等工况的要求，在关注电动汽车动力电池多耦合状态联合估计和电热复杂耦合关系（E/T-CCR）的准确表达的同时，提出了一种基于多域混合模型（MDHM）的锂电池多耦合状态联合估计算法。提出了E/T-CCR的精确建模方法。即通过在耦合域中建立的双向映射模型，准确表达电池在电域和热域的特性，形成MDHM。在此基础上，考虑到现有滤波方法在稳定性、鲁棒性、泛化能力、复杂性和数据依赖性等方面的优势，提出了一种基于自适应平方根无气味卡尔曼滤波（ASRUKF）的双滤波结构，实现了多状态联合估计和耦合域稳定性校正。同时，实现了考虑温度状态等多约束条件的功率状态（SOP）估计。将该算法与2种典型的基于电热耦合模型（ETCM）的多状态联合估计算法在2种电池老化3种动态工况下的12种温度场景下进行了比较。结果表明，该算法具有较好的精度和动态跟踪性能。与3种深度网络模型（DNM）算法进行了比较。结果表明，该算法在精度和复杂度之间取得了很好的平衡。可实现4个关键电池状态的联合估计。

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引用次数: 0

Investigation of transport properties and residual gas saturation in large high-resolution lithium-ion battery electrode images using the Lattice Boltzmann Method 利用晶格玻尔兹曼方法研究高分辨率锂离子电池电极图像中的输运性质和残余气体饱和度

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-02-05 DOI: 10.1016/j.est.2026.120966

Aliaksei Pazdniakou , Isabelle-C. Jolivet , Quentin Denoyelle , Cécile Tessier , Mohamed Regaieg

This study applies a coupled two-phase flow and grayscale Lattice Boltzmann Method (LBM) to investigate transport properties and residual gas saturation in large high-resolution focused ion-beam scanning electron microscopy (FIB-SEM) images of lithium-ion battery electrodes. Absolute permeability analysis reveals that anode samples exhibit significantly higher permeabilities than cathode and separator samples, consistent with morphological observations indicating larger pore sizes in the anode samples. Incorporating the flow-conducting carbon binder domain (CBD) using grayscale LBM notably increases the calculated permeabilities. Relative permeability curves and capillary pressure curves were calculated for different electrode components to characterize their multiphase flow behavior. Capillary rise simulations were performed to validate the model and determine effective pore radius values by simulating wetting fluid absorption following the Washburn equation behavior. Results for anode samples demonstrated good agreement with experimental data, while incorporating the wettable CBD markedly improved agreement with experimental capillary rise data for cathode samples, significantly reducing deviations. Electrolyte filling simulations highlight notable differences in residual gas saturation between electrode components due to differences in pore space structure. Incorporating flow-conducting, wettable CBD into the cathode samples reduces residual gas saturation, further improving the degree of electrolyte penetration compared to simulation cases with impermeable CBD. The derived transport properties provide valuable input parameters for battery-scale modeling, where accurate upscaling of pore-scale transport phenomena is essential for predicting battery performance and optimizing battery design.

本研究采用耦合两相流和灰度晶格玻尔兹曼方法（LBM）研究了锂离子电池电极的高分辨率聚焦离子束扫描电子显微镜（FIB-SEM）图像中的输运性质和残余气体饱和度。绝对渗透率分析表明，阳极样品的渗透率明显高于阴极和隔膜样品，这与形态学观察结果一致，表明阳极样品的孔隙较大。采用灰阶LBM加入导流碳结合域（CBD）显著提高了计算渗透率。计算了不同电极组分的相对渗透率曲线和毛细管压力曲线，以表征其多相流动特性。毛细管上升模拟验证了该模型，并通过模拟湿润流体吸收遵循Washburn方程的行为来确定有效孔隙半径值。阳极样品的结果与实验数据吻合良好，而加入可湿性CBD显著提高了阴极样品与实验毛细管上升数据的一致性，显著减少了偏差。电解液填充模拟表明，由于孔隙空间结构的差异，电极组分之间的残余气体饱和度存在显著差异。在阴极样品中加入具有导流性、可湿性的CBD降低了残余气饱和度，与不渗透性CBD的模拟情况相比，进一步提高了电解质的渗透程度。导出的输运特性为电池尺度建模提供了有价值的输入参数，其中精确的孔尺度输运现象升级对于预测电池性能和优化电池设计至关重要。

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引用次数: 0

The Application of hydro-mechanical-electrical coupling analysis method in pumped storage power stations 水电耦合分析方法在抽水蓄能电站中的应用

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-02-05 DOI: 10.1016/j.est.2026.120849

Sanxia Zhang , Xiaowen Xu , Chun Xiang , Heng Qian , Zhenhua Duan

Pumped Storage Hydropower(PSH), a pivotal technology for grid-scale energy storage, is increasingly integral to the global low-carbon energy transition. In particular, these stations are essential for facilitating China's strategic objectives of achieving carbon peaking and carbon neutrality. In this paper, we systematically and comprehensively review the application of Hydro-Mechanical-Electrical (HME) Coupled Analysis Method to pumped storage power stations and present a systematic framework. This paper integrates and extends existing research perspectives on coupling mechanisms, modeling methodologies, key applications, and future development directions. We investigate the fundamental interplay between hydraulic, mechanical, and electrical subsystems and conduct a multidimensional comparison of modeling approaches, ranging from traditional centralized parametric models to high-fidelity distributed and hybrid frameworks. Furthermore, we analyze core application areas, including stability assessment, transient process simulation, vibration characteristics, and control strategy optimization. Finally, the study identifies current challenges and emerging trends, such as the integration of digital twin technology, the deployment of large-scale variable speed units, and the advancement of hybrid energy storage systems. Ultimately, it has been pointed out that the future of HME Coupled Analysis Method lies in a shift toward a new paradigm, namely, the integration of physical mechanism models with data-driven artificial intelligence techniques. This is essential for attaining the intelligent operational control and flexible regulation capacity required to maintain stability in power systems characterized by a high penetration of intermittent renewable energy.

抽水蓄能（PSH）作为电网规模储能的关键技术，正日益成为全球低碳能源转型的重要组成部分。特别是，这些电站对于促进中国实现碳峰值和碳中和的战略目标至关重要。本文系统、全面地综述了水力机电耦合分析方法在抽水蓄能电站中的应用，并给出了系统框架。本文对耦合机制、建模方法、关键应用和未来发展方向等方面的现有研究观点进行了整合和扩展。我们研究了液压、机械和电气子系统之间的基本相互作用，并对建模方法进行了多维比较，从传统的集中式参数模型到高保真分布式和混合框架。此外，我们还分析了核心应用领域，包括稳定性评估、瞬态过程仿真、振动特性和控制策略优化。最后，该研究确定了当前的挑战和新兴趋势，例如数字孪生技术的集成，大规模变速单元的部署以及混合能源存储系统的进步。最后指出，HME耦合分析方法的未来在于向新的范式转变，即将物理机制模型与数据驱动的人工智能技术相结合。这对于实现以间歇性可再生能源高渗透为特征的电力系统的智能运行控制和灵活调节能力至关重要。

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引用次数: 0

Recent advances in single device photoactive batteries 单器件光活性电池的最新进展

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-02-05 DOI: 10.1016/j.est.2026.120782

Talal F. Qahtan , Basiru O. Yusuf , Taoreed O. Owolabi , Idris K. Popoola , Satam Alotibi , Abdellah Kaiba

Single-device photoactive batteries (SPBs) represent an emerging paradigm that unifies solar energy conversion and electrochemical storage within a single compact system. Unlike conventional photovoltaic–battery hybrids that rely on external wiring or discrete energy modules, SPBs integrate light harvesting, charge separation, and ion transport directly into a monolithic configuration. This integration enables direct solar-to-chemical energy conversion, improving volumetric energy density and simplifying device design. Recent advances in photoactive materials, including halide perovskites, transition-metal oxides, and organic–inorganic hybrid systems have significantly expanded the possibilities for efficient and durable SPBs. Concurrently, innovations in electrode architectures, such as tandem-inspired multilayers, nanostructured scaffolds, and solid-state or flexible platforms, have improved charge management and structural resilience. This review systematically discusses recent developments in SPBs, emphasizing the interplay between materials chemistry, device architectures, photoelectrochemical performance, and stability mechanisms. Special attention is devoted to degradation pathways under illumination, bias, and environmental stress, alongside strategies for interfacial passivation, encapsulation, and electrolyte optimization. The review also identifies key scientific and engineering challenges, including the trade-off between photo-conversion efficiency and operational durability, the lack of standardized testing protocols, and the difficulty of scaling nanoscale architectures into manufacturable devices. Finally, perspectives are provided on future directions in materials design, interface engineering, and device integration. By bridging insights from photovoltaics, battery chemistry, and materials science, this work highlights a pathway toward stable, efficient, and scalable SPBs for next-generation autonomous and flexible energy systems.

单器件光活性电池（SPBs）代表了一种新兴的范例，它将太阳能转换和电化学存储统一在一个单一的紧凑系统中。与依赖外部布线或分立能量模块的传统光伏混合电池不同，spb将光收集、电荷分离和离子传输直接集成到一个单片配置中。这种集成实现了直接的太阳能-化学能转换，提高了体积能量密度，简化了设备设计。光活性材料的最新进展，包括卤化物钙钛矿、过渡金属氧化物和有机-无机杂化系统，极大地扩展了高效耐用spb的可能性。同时，电极结构的创新，如串联多层、纳米结构支架、固态或柔性平台，已经改善了电荷管理和结构弹性。本文系统地讨论了SPBs的最新进展，强调了材料化学、器件结构、光电化学性能和稳定性机制之间的相互作用。特别关注在光照、偏置和环境压力下的降解途径，以及界面钝化、封装和电解质优化的策略。该综述还确定了关键的科学和工程挑战，包括光转换效率和操作耐久性之间的权衡，缺乏标准化测试协议，以及将纳米级架构扩展到可制造设备的难度。最后，展望了材料设计、界面工程和器件集成的未来发展方向。通过桥接光伏，电池化学和材料科学的见解，这项工作强调了通往下一代自主和灵活能源系统的稳定，高效和可扩展的spb的途径。

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引用次数: 0

Thermally-aware optimal scheduling of electric vehicle charging for load curve smoothing 基于负荷曲线平滑的热感知电动汽车充电优化调度

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-02-05 DOI: 10.1016/j.est.2026.120813

Azadeh Tahmasebi, Khalil Gorgani Firouzjah

The increasing penetration of electric vehicles (EVs) has created a new, large, and fluctuating load management challenge for electricity distribution networks. Uncoordinated charging of this fleet has the potential to create severe load peaks and destructive thermal stress on the batteries. This paper provides a comprehensive framework for the optimal and coordinated management of EV charging, simultaneously considering grid objectives and battery health constraints. In the first part, a comparative analysis was conducted on seven different charging strategies, ranging from continuous and aggressive charging to optimal constraint-based solutions. The results of this analysis quantitatively showed a fundamental balance between charging speed and thermal stress. It has also been shown that thermally unaware strategies, even if optimal from a grid perspective, lead to critical and unacceptable temperatures in the battery. In the second part, an advanced hybrid metaheuristic algorithm was developed based on combining the Gray Wolf Optimizer (GWO) as a global searcher and the Particle Swarm Optimization (PSO) algorithm as a local search operator to solve the multi-objective problem. This algorithm is designed to minimize the load curve smoothness index (LCSI) under a strict battery maximum temperature constraint. The optimization results in the scenarios under study show that the proposed algorithm is able to significantly smooth the cumulative load profile while completely maintaining the temperature of all fleet batteries within the defined safe range. Sensitivity analysis of the results with respect to changes in ambient temperature and critical threshold demonstrates the robustness of the proposed approach and the importance of problem formulation as heat-aware constrained optimization.

电动汽车（ev）的日益普及给配电网络带来了新的、巨大的、波动的负荷管理挑战。该车队的不协调充电有可能产生严重的负载峰值和对电池的破坏性热应力。本文在考虑电网目标和电池健康约束的前提下，为电动汽车充电优化和协调管理提供了一个全面的框架。在第一部分中，对7种不同的充电策略进行了比较分析，从持续和主动充电到基于约束的最优方案。定量分析结果表明，装药速度和热应力之间基本平衡。研究还表明，即使从电网的角度来看是最佳的，热无意识策略也会导致电池中的临界温度和不可接受的温度。第二部分提出了一种基于灰狼优化器（GWO）作为全局搜索器和粒子群优化算法（PSO）作为局部搜索算子的混合元启发式算法来解决多目标问题。该算法旨在在严格的电池最高温度约束下最小化负载曲线平滑指数（LCSI）。研究场景下的优化结果表明，该算法能够显著平滑累积负荷分布，同时将所有车队电池的温度完全保持在定义的安全范围内。结果对环境温度和临界阈值变化的敏感性分析表明了所提出方法的鲁棒性和问题表述作为热感知约束优化的重要性。

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引用次数: 0

Study on conduction–convection mechanisms of composite phase change materials based on different triply periodic minimal surfaces 基于不同三周期极小面复合相变材料的传导-对流机理研究

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-02-05 DOI: 10.1016/j.est.2026.120883

Lin Li , Zhaoli Zhang , Nan Zhang , Zheyao Peng , Yanping Yuan

Phase change materials (PCMs) offer great potential for thermal management applications due to their high latent heat and constant phase transition temperature. However, their intrinsically low thermal conductivity limits the temperature response. Triply periodic minimal surface (TPMS) architectures have been used to enhance heat transfer of composite PCMs (CPCMs), yet how their geometry affects coupled mechanism of conduction–convection remains unclear. This work investigates the heat transfer enhancement mechanism of three TPMS geometries—Primitive, Gyroid, and Diamond— embedded in paraffin wax (PW) using 3D numerical simulations. Results show that all three CPCMs exhibit accelerated melting process, with melting rates increase by more than 30.2% compares to PW. The Diamond geometry achieves the highest improvement at 40.4%. The temperature regulation performance of all the three CPCMs also improves by more than 58%. The thermal conduction convection mechanism at the pore scale is further analyzed, mechanism analysis reveals that TPMS skeletons not only establish efficient conductive pathways but also regulate the strength and distribution of natural convection by reshaping liquid paraffin flow. Primitive geometry slightly enhances conduction but weakly suppresses convection; Diamond maximizes conduction but strongly inhibits fluid flow; Gyroid strikes a balance between conduction and convection, promoting uniform flow and heat transfer. These findings clarify how TPMS geometry governs internal heat transfer mechanisms, providing guidance for optimizing high performance thermal management systems.

相变材料由于具有较高的潜热和恒定的相变温度，在热管理应用中具有很大的潜力。然而，它们固有的低导热性限制了温度响应。三周期最小表面（TPMS）结构已被用于增强复合相变材料（CPCMs）的传热，但其几何形状如何影响传导-对流耦合机制尚不清楚。本研究利用三维数值模拟研究了三种TPMS几何形状（原始形状、旋转形状和金刚石形状）嵌入石蜡（PW）中的传热强化机制。结果表明：三种cpcm均表现为加速熔融过程，熔融速率均比PW提高了30.2%以上；金刚石的几何形状达到了40.4%的最高改善。三种cpcm的温度调节性能也提高了58%以上。进一步分析了孔隙尺度下的热传导对流机制，机理分析表明TPMS骨架不仅建立了高效的传导通道，而且通过重塑液体石蜡流动来调节自然对流的强度和分布。原始几何对传导有微弱的增强作用，但对对流有微弱的抑制作用；金刚石使传导最大化，但强烈抑制流体流动；陀螺在传导和对流之间取得平衡，促进均匀流动和传热。这些发现阐明了TPMS几何结构如何控制内部传热机制，为优化高性能热管理系统提供了指导。

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引用次数: 0

Transparent phase change materials for scalable latent-heat thermophotovoltaic batteries 用于可扩展潜热热光伏电池的透明相变材料

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-02-05 DOI: 10.1016/j.est.2026.120936

Alejandro Datas

Latent-heat thermophotovoltaic (TPV) batteries offer a pathway for long-duration energy storage, but their scalability is limited by the low thermal conductivity of high-temperature phase change materials (PCMs), which restricts heat extraction during discharge as a solid crust forms. This work presents an idealized theoretical analysis of a TPV battery architecture employing optically transparent PCMs to enable combined conductive and radiative heat transfer through the storage medium. A quasi-one-dimensional model is used to compare opaque PCMs with two idealized transparency scenarios: fully transparent and phase-dependent (transparent solid, opaque liquid). Under the simplifying assumptions of perfect transparency, blackbody emitters, and adiabatic boundaries, the model predicts that transparency can sustain higher emitter temperatures during discharge and increase the average power density by mitigating the thermal resistance of the solid crust. A parametric sensitivity analysis further examines the influence of key PCM properties—including thermal conductivity, refractive index, and effective radiative attenuation—showing that the qualitative performance advantages of transparency persist over a relatively broad parameter range. These conditions relax the conventional trade-off between PCM thickness and power output, establishing an upper bound on the performance improvements that transparency could provide. Since no currently known high-temperature PCM satisfies these ideal transparency assumptions, the results should be interpreted as theoretical limits intended to guide future searches for materials with partial or wavelength-dependent transparency under operating conditions.

潜热热光伏（TPV）电池为长时间储能提供了一条途径，但其可扩展性受到高温相变材料（PCMs）的低导热性的限制，这限制了在放电过程中作为固体外壳形成的热量提取。这项工作提出了一种理想的理论分析，TPV电池结构采用光学透明的pcm，通过存储介质实现导电和辐射的组合传热。准一维模型用于比较不透明pcm与两种理想透明度情景：完全透明和相依赖（透明固体，不透明液体）。在完全透明、黑体发射体和绝热边界的简化假设下，该模型预测透明可以在放电过程中维持较高的发射体温度，并通过减轻固体地壳的热阻来提高平均功率密度。参数敏感性分析进一步检查了关键PCM特性的影响，包括导热系数、折射率和有效辐射衰减，表明透明的定性性能优势在相对较宽的参数范围内持续存在。这些条件放宽了PCM厚度和功率输出之间的传统权衡，建立了透明度可以提供的性能改进的上限。由于目前没有已知的高温PCM满足这些理想的透明度假设，结果应该被解释为理论限制，旨在指导未来在工作条件下寻找部分或波长相关透明度的材料。

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引用次数: 0

Improving the thermal energy storage performance of calcium hydride via vacancy defects for next-generation concentrating solar power 利用空位缺陷改善氢化钙的蓄热性能，用于下一代聚光太阳能发电

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-02-04 DOI: 10.1016/j.est.2026.120885

Soufiane Bahou

Although the metal hydride CaH₂ possesses a remarkably high hydrogen-based energy storage density, its application in thermal energy storage systems for next-generation concentrated solar power plants presents a challenge due to its 1100 °C decomposition temperature. These plants are expected to operate within a range of 600 to 800 °C, which makes CaH₂ unsuitable for use as a reversible hydrogen storage medium. To mitigate the limitations of calcium hydride's thermal stability, this research uses advanced computational modeling to explore the impacts of calcium vacancy formation on decomposition temperature. Computations were conducted using the Korringa-Kohn-Rostoker method alongside the coherent potential approximation used to model disordered systems. The findings reveal that increasing the concentration of calcium defects in the material correlates with a significant rise in formation enthalpy from −184.5 kJ·mol⁻¹H₂ at 0% calcium defect concentration to −106.9 kJ·mol⁻¹H₂ at 15% calcium defect concentration, along with a marked reduction in decomposition temperature from 1127 °C (0%) to 538 °C (15%). The findings also reveal a significant increase in storage capacity of CaH₂ as Ca vacancies are increased, from 4.789 (0%) to 5.586 wt% (15%). Moreover, increasing concentrations lower the activation energy, which enhances hydrogen diffusion and facilitates efficient hydrogen release.

虽然金属氢化物CaH2具有非常高的氢基储能密度，但由于其1100℃的分解温度，其在下一代聚光太阳能电站的热储能系统中的应用面临挑战。这些工厂预计将在600至800°C的范围内运行，这使得CaH2不适合用作可逆储氢介质。为了减轻氢化钙热稳定性的局限性，本研究采用先进的计算模型来探索钙空位形成对分解温度的影响。计算使用Korringa-Kohn-Rostoker方法以及用于模拟无序系统的相干势近似进行。结果表明，随着钙缺陷浓度的增加，材料的生成焓从钙缺陷浓度为0%时的−184.5 kJ·mol−1H₂显著增加到钙缺陷浓度为15%时的−106.9 kJ·mol−1H₂，分解温度从1127℃（0%）显著降低到538℃（15%）。研究结果还表明，随着Ca空位的增加，CaH2的存储容量显著增加，从4.789 wt%（0%）增加到5.586 wt%（15%）。此外，浓度的增加降低了活化能，从而增强了氢的扩散，促进了氢的有效释放。

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引用次数: 0

Optimal operation of off-grid integrated hydrogen energy utilization systems: Life-cycle cost reduction considering waste heat recovery 离网综合氢能利用系统的优化运行：考虑余热回收的全生命周期成本降低

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-02-04 DOI: 10.1016/j.est.2026.120819

Shihao Zhu , Banghua Du , Peipei Meng , Xinyu Lu , Yang Li , Changjun Xie , Leiqi Zhang , Bo Zhao

The integrated hydrogen energy utilization system (IHEUS) exhibits great potential for microgrid applications. However, its practical deployment faces significant challenges, primarily due to the low energy conversion efficiency and rapid aging of electrolyzers and fuel cells, especially when handling highly fluctuating power flows. To address these issues, this study proposes a multi-objective optimal dispatch scheme for off-grid IHEUS operations, incorporating waste heat recovery and life cycle cost considerations. First, a mechanistic model is established to characterize the electric-hydrogen-heat output characteristics of the system, with a specific focus on waste heat recovery and utilization subsystems. By correlating the aging behavior and lifetime degradation to voltage decay, a life-cycle operational cost function is formulated for the multi-objective optimization (MOO) model. Within this framework, comprehensive energy efficiency and energy supply loss probability are adopted as performance metrics to enhance energy utilization and stability. The resulting MOO problem is solved and prioritized using a proposed NSGA-III combined entropy-weighted TOPSIS strategy. Comparative studies demonstrate that this strategy effectively identifies the optimal dispatch scheme, achieving operational cost reductions of at least 17.53%, comprehensive energy efficiency improvements ranging from a 0.13% decrease to a 0.61% increase, and a limited increase in energy supply loss probability (4.14%).

氢能综合利用系统（IHEUS）在微电网应用中具有巨大的潜力。然而，它的实际部署面临着重大挑战，主要是由于能量转换效率低，电解槽和燃料电池的快速老化，特别是在处理高度波动的功率流时。为了解决这些问题，本研究提出了一种考虑废热回收和生命周期成本的离网IHEUS运行多目标优化调度方案。首先，建立了一个机制模型来表征系统的电-氢-热输出特性，并重点关注了余热回收利用子系统。通过将老化行为和寿命退化与电压衰减联系起来，建立了多目标优化（MOO）模型的寿命周期运行成本函数。在此框架下，采用综合能源效率和能源供应损失概率作为绩效指标，以提高能源利用率和稳定性。使用提出的NSGA-III组合熵加权TOPSIS策略解决了由此产生的MOO问题并对其进行了优先级排序。对比研究表明，该策略有效地确定了最优调度方案，运行成本至少降低了17.53%，综合能源效率提高了0.13% ~ 0.61%，能源供应损失概率增加有限（4.14%）。

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引用次数: 0

Research advances in modifying high-performance lithium‑sulfur battery separator with bimetallic metal-organic frameworks 双金属金属有机骨架改性高性能锂硫电池隔膜的研究进展

IF 8.9 2区工程技术 Q1 ENERGY & FUELS

Journal of energy storage

Pub Date : 2026-02-04 DOI: 10.1016/j.est.2026.120957

Yu Li , Yao Wu , Bofang Shi , Muhammad Jamshed , Ye Zhang , Taohong He , Yunhui Chen , Cheng Zhang , Honghui Yang

Lithium‑sulfur batteries (LSBs) are promising candidates for next-generation energy storage systems due to their high theoretical specific capacity (1675 mAh g⁻¹). However, practical applications are hindered by the polysulfide (LiPS) shuttle effect and lithium dendrite growth. Metal-organic frameworks (MOFs), with high porosity, tunable pore size, and abundant active sites, are ideal materials for separator modification to suppress LiPS migration. Compared to monometallic MOFs, bimetallic MOFs exhibit superior electrocatalytic activity and ion transport due to synergistic effects. This paper summarizes recent progress in the use of bimetallic metal-organic frameworks for separator modification, emphasizing design strategies, performance optimization, and electrochemical differences with monometallic MOFs based on experimental data. It also analyzes the current limitations of LSB research. To advance commercialization, strategies such as designing multifunctional integrated separators for improved interfacial stability and LiPS confinement, screening bimetallic catalysts to enhance redox kinetics, and optimizing scalable manufacturing processes were proposed. These targeted approaches aim to overcome bottlenecks and accelerate the transition of LSB technology from lab-scale research to real-world applications.

锂硫电池（lsb）由于其高理论比容量（1675 mAh g−1）而成为下一代储能系统的有希望的候选者。然而，实际应用受到多硫化物（LiPS）穿梭效应和锂枝晶生长的阻碍。金属有机骨架（mof）具有高孔隙率、孔径可调、活性位点丰富等特点，是抑制LiPS迁移的理想材料。与单金属mof相比，双金属mof由于协同效应表现出更强的电催化活性和离子传输能力。本文综述了近年来利用双金属金属有机骨架对隔膜进行改性的研究进展，重点介绍了基于实验数据的设计策略、性能优化以及与单金属mof的电化学差异。分析了当前LSB研究的局限性。为了推进商业化，研究人员提出了诸如设计多功能集成分离器以提高界面稳定性和LiPS约束、筛选双金属催化剂以提高氧化还原动力学以及优化可扩展制造工艺等策略。这些有针对性的方法旨在克服瓶颈，加速LSB技术从实验室规模的研究向现实世界应用的过渡。

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