Journal of energy storage最新文献

{"title":"Assembly of high-performance zinc-ion hybrid capacitor using soy residue-derived porous carbon as cathode and HCl treated zinc foil as anode","authors":"Song Wang ,&nbsp;Jia Xue ,&nbsp;Xuecheng Chen","doi":"10.1016/j.est.2025.115616","DOIUrl":"10.1016/j.est.2025.115616","url":null,"abstract":"<div><div>As a secure energy storage device, zinc-ion hybrid capacitors (ZHCs) have garnered significant research attention. Prior investigations have demonstrated that the performance of ZHCs is profoundly impacted by the structural characteristics or compositional design of both the anode and cathode materials, as well as the electrolyte. Consequently, this study employed porous carbon derived from soy residue as the cathode, and HCl treated zinc foil as anode to construct ZHCs. Influence of the preparation condition of the soy residue-derived porous carbon, and the morphology of the zinc foil anode on the assembled ZHCs performance was systematically explored. Utilizing a soy residue-derived porous carbon material with the specific surface area of 3216.2 m² g⁻¹ as the cathode, and a zinc foil anode featuring surface cracks markedly improved the performance of the fabricated ZHCs. The specific capacitance and power density of the assembled ZHC, incorporating the aforementioned cathode and anode, achieved 514.6 F g⁻¹ and 323.5 Wh kg⁻¹, respectively. To ensure the cycling stability of ZHC, the zinc electrode was protected using nickel foam. The assembled ZHC maintained a 100 % specific capacitance retention after 5000 cycles. For the advancement of high-performance ZHCs, it is imperative to refine the structural attributes of the porous carbon cathode and zinc foil anode, alongside optimizing the zinc anode protection method.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"114 ","pages":"Article 115616"},"PeriodicalIF":8.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling heat conduction in 3D composite cathode microstructures of all-solid-state batteries","authors":"Juan Huang,&nbsp;Jiawei Hu,&nbsp;Duo Zhang,&nbsp;Yuheng Du,&nbsp;Chuan-Yu Wu,&nbsp;Qiong Cai","doi":"10.1016/j.est.2025.115692","DOIUrl":"10.1016/j.est.2025.115692","url":null,"abstract":"<div><div>All-solid-state lithium batteries (ASSLBs) are a promising next generation energy storage technology comparing to conventional lithium-ion batteries (LIBs). Although ASSLBs have high thermal stability, thermal degradation and thermal runaway can still occur. The thermal characteristics of the cathode of ASSLBs play a crucial role in maintaining the stability of the interface with the electrolyte. It is important to understand the thermal characteristics of ASSLBs, which is highly associated with specific microstructure geometrics of composite cathodes. Here, this paper presents a 3D lattice Boltzmann heat conduction model to simulate the effective thermal conductivity (ETC) of the multiphase solid-state cathodes, which is composed of active material LCO (LiCoO₂) and solid electrolyte LLZO (Li₇La₃Zr₂O₁₂), generated using the discrete element method (DEM) with different porosities, volumetric ratios, particle size ratios, and various composite tortuosities. The findings indicate that porosity, volumetric fraction, and particle size all exert the decisive factor on ETC. Tortuosity emerges as a non-negligible factor influencing thermal conductivity, highlighting the importance of microstructural optimization.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"114 ","pages":"Article 115692"},"PeriodicalIF":8.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance analysis of integrated battery and cabin thermal management system in Electric Vehicles for discharge under drive cycle","authors":"Suyash Vikram ,&nbsp;Sagar Vashisht ,&nbsp;Dibakar Rakshit ,&nbsp;Man Pun Wan","doi":"10.1016/j.est.2025.115678","DOIUrl":"10.1016/j.est.2025.115678","url":null,"abstract":"<div><div>An integrated thermal management system developed by integrating a battery thermal management system and vehicle cabin air conditioning system is a potential method for enhancing energy efficiency and minimizing the space requirement in Electric Vehicles. This study presents an innovative thermal management system focusing on crucial factors such as battery safety, passenger comfort, and overall system economy. There has been very little research on the study of a collaborative, integrated thermal management system incorporating both thermal management of battery packs and cabin air conditioning systems simultaneously. This study overcomes the previous limitations by investigating the performance of an integrated thermal management system for Electric Vehicles under Indian Drive Cycle. The simulations are carried out in MATLAB/Simulink, and the performance of the integrated system is studied at different ambient temperatures (25 °C, 30 °C, 35 °C, 40 °C) and relative humidity levels (60 %, 70 %, 80 %, 90 %, and 100 %). The variation of battery pack temperatures, vehicle cabin temperature, and maximum power demand by the integrated thermal management system are investigated in this study. The model is formulated in such a way that the integrated system tries to maintain the cabin temperature in the range of 22–24 °C and battery pack temperature in the safe range of 30–35 °C. From the results, it is observed that with an increase in ambient temperature, the time required by the integrated system to achieve the desired cabin temperature in the vehicle cabin is longer due to higher heat exchange between the vehicle cabin and the ambient environment at higher ambient temperatures. At 25 °C ambient temperature, the time taken by the cabin air conditioning system to achieve the desired cabin temperature is 625 s, whereas at 30 °C and 35 °C, the corresponding values are 2045 and 2150 s, respectively. The battery thermal management system, being more crucial, gives an excellent performance by maintaining the battery pack temperature in the desired range of 30–35 °C at all ambient temperatures. The results indicate that with an increase in ambient temperature, the maximum power demand by the integrated thermal management system increases from 1.69 kW at 25 °C to 6.9 kW at 40 °C. The results also indicate that with an increase in the relative humidity levels, the maximum power demand increases from 2.9 kW at 60 % relative humidity to 5.9 kW at 100 % relative humidity at 30 °C ambient temperature.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"114 ","pages":"Article 115678"},"PeriodicalIF":8.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An advanced asymmetric supercapacitor electrode material based on Mg(OH)2-Ni3S4 nanocomposite","authors":"Abu Sayed Mondal ,&nbsp;Astam K. Patra ,&nbsp;Rittik Parui ,&nbsp;Subhratanu Bhattacharya ,&nbsp;Arabinda Karmakar","doi":"10.1016/j.est.2025.115732","DOIUrl":"10.1016/j.est.2025.115732","url":null,"abstract":"<div><div>It is imperative to rationally design novel electrode materials for energy storage systems that satisfy the requirements of outstanding specific capacitance, energy density and cycle stability in addition to being safe, efficient and environmentally acceptable. Herein, a bimetallic metal-organic framework derived mixed hydroxide-sulfide Mg(OH)₂-Ni₃S₄ nanocomposite was achieved using a conventional two-step approach. Physiochemical analysis reveals the formation of Mg(OH)₂-Ni₃S₄ nanocomposite with hierarchical porosity and decent surface area. The synergistic effect of Mg²⁺, a non-electroactive metal ion, with the redox-active Ni²⁺ ion provides better electrochemical performance than other Ni₃S₄-based composite electrode materials reported in the literature. Electrochemical analysis shows that the as-synthesized electrode material displays a remarkable specific capacitance of 3316.7 F/g at 1 A/g in 1 M KOH solution. Moreover, the fabricated Mg(OH)₂-Ni₃S₄//AC asymmetric supercapacitor (ASC) device delivers a specific capacitance of 274.7 F/g at 1 A/g. The ASC device also maintains 88.3 % of its initial capacity after 10,000 charge/discharge cycles and reaches a high energy density of 109.1 Wh/kg at a power density of 729.2 W/kg. Additionally, two such devices connected in series can illuminate a red LED for almost 20 min. These findings suggest that Mg(OH)₂-Ni₃S₄ nanocomposite is an attractive choice for use as an active material in the development of ASC devices.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"114 ","pages":"Article 115732"},"PeriodicalIF":8.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supercapacitors: A promising solution for sustainable energy storage and diverse applications","authors":"Chandu V.V. Muralee Gopi ,&nbsp;Salem Alzahmi ,&nbsp;Venkatesha Narayanaswamy ,&nbsp;Rajangam Vinodh ,&nbsp;Bashar Issa ,&nbsp;Ihab M. Obaidat","doi":"10.1016/j.est.2025.115729","DOIUrl":"10.1016/j.est.2025.115729","url":null,"abstract":"<div><div>Supercapacitors, a bridge between traditional capacitors and batteries, have gained significant attention due to their exceptional power density and rapid charge-discharge capabilities. This review delves into their fundamentals, recent advancements, and diverse applications. Unlike batteries, supercapacitors store energy electrostatically, enabling rapid charge-discharge cycles without significant degradation. However, they typically exhibit lower energy density compared to batteries. Recent research has focused on addressing these limitations by developing advanced electrode materials, electrolytes, and device architectures. Carbon-based nanostructures, metal oxides, and conductive polymers have significantly enhanced energy and power density. Innovative electrolytes, including ionic liquids and solid-state electrolytes, have improved electrochemical performance and safety. Supercapacitors find applications in various sectors. Renewable energy stores intermittent energy from sources like solar, ensuring a stable power supply. In transportation, they complement batteries in electric vehicles (EVs), providing high-power bursts. Additionally, supercapacitors power consumer electronics and enable efficient energy management in industrial automation. Despite their advantages, challenges remain, primarily in terms of energy density. Ongoing research aims to address these limitations and optimize supercapacitor performance through novel materials, innovative designs, and advanced manufacturing techniques. By understanding the fundamentals, advancements, and applications of supercapacitors, researchers, engineers, and policymakers can accelerate the development and deployment of this promising energy storage solution.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"114 ","pages":"Article 115729"},"PeriodicalIF":8.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel feature adaptive meta-model for efficient remaining useful life prediction of lithium-ion batteries","authors":"Amit Rai ,&nbsp;Jay Liu","doi":"10.1016/j.est.2025.115715","DOIUrl":"10.1016/j.est.2025.115715","url":null,"abstract":"<div><div>Lithium-Ion Batteries (LiBs) are the most widely used energy storage devices due to their high energy density and long cycle life. However, despite their widespread adoption, the stochastic nature of capacity degradation presents operational and safety challenges, diminishing the remaining useful life (RUL) of the batteries. This research introduces a multi-stage, feature-adaptive meta-model designed to optimize the latent vector space at the meta-data stage, enhancing subsequent meta-model learning. The adaptive nature of the meta-feature space minimizes prediction variance, thereby improving model generalization, prediction accuracy, and computational efficiency, achieving 51.34 % and 85.25 % greater accuracy compared to bagging and boosting methods, respectively. Furthermore, a bidirectional long short-term memory (BiLSTM) and variational autoencoder (VAE)-based generative model with an optimized latent dimension is developed to effectively capture statistical variations and temporal dependencies within the RUL dataset, addressing data availability challenges. Additionally, a cost-aware maintenance strategy is formulated, employing a quadratic function to assess the economic impact of precise RUL predictions by penalizing both overestimation and underestimation in different case studies. This study aims to deliver an accurate prediction model, a synthetic data generation method, and a cost-effective maintenance strategy for informed decision-making.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"114 ","pages":"Article 115715"},"PeriodicalIF":8.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing dithiocarbamate ligands for enhanced energy storage: Advancing with Cu2S:Sb2S3:Ni3S2 trichalcogen complexes in battery technology","authors":"Shaan Bibi Jaffri ,&nbsp;Khuram Shahzad Ahmad ,&nbsp;Bhumikaben Makawana ,&nbsp;Ram K. Gupta ,&nbsp;Ahmed Nadeem ,&nbsp;Sabry M. Attia","doi":"10.1016/j.est.2025.115737","DOIUrl":"10.1016/j.est.2025.115737","url":null,"abstract":"<div><div>Chelation with the diethyldithiocarbamate ligand yields a novel semiconducting Cu₂S: Sb₂S₃: Ni₃S₂ metal chalcogen. The current work intends to improve the performance of charge storing contraptions for the first time by using dithiocarbamate ligands. Having a band gap of 2.55 eV and diverse crystallographic features with a median crystallite size of 44.21 nm, this photo-active material exhibits exceptional optical performance. Infrared spectroscopy identified metallic sulfide connections, ranging from 519 to 909 cm⁻¹. The electrochemical characteristics of the Cu₂S: Sb₂S₃: Ni₃S₂ was evaluated utilizing a KOH background electrolyte (1 M) and a standard three-electrode arrangement. The trichalcogenide has a power density of 7053.64 W kg⁻¹ and a very substantial unit capacity of as high as 487.36 mAh g⁻¹, making it the perfect electrode material for battery applications. The similar serial resistance (R_s) of 0.09 Ω further confirmed the excellent electrochemical result. Chronoamperometric analysis over 1500 min showed stable electrochemical behaviour of the Cu₂S: Sb₂S₃: Ni₃S₂ composite.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"114 ","pages":"Article 115737"},"PeriodicalIF":8.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cloud-based estimation of lithium-ion battery life for electric vehicles using equivalent circuit model and recurrent neural network","authors":"Ziqing Chen ,&nbsp;Jianguo Chen ,&nbsp;Zhicheng Zhu ,&nbsp;Jian Chen ,&nbsp;Taolin Lv ,&nbsp;Dongdong Qiao ,&nbsp;Yuejiu Zheng","doi":"10.1016/j.est.2025.115718","DOIUrl":"10.1016/j.est.2025.115718","url":null,"abstract":"<div><div>With the increasing adoption of electric vehicles, the limitations of BMS in terms of storage capacity and computational power lead to a gradual accumulation of errors in battery capacity estimation over time. This growing inaccuracy significantly compromises the effective management of on-board power battery states. The challenge of battery capacity estimation based on extensive cloud-stored data has become a key focus in current research. In this paper, we propose an enhanced method that combines the ECM with a RNN to address this issue. By incorporating the relationship between OCV and SOC into the ECM, and employing PSO for direct capacity identification, we achieve accurate estimation. Furthermore, the use of RNN dynamically adjusts the observation noise in Kalman filtering, significantly improving the precision of the estimation. Experimental results demonstrate that the proposed `method yields a RMSE of &lt;3 % and an average relative error below 2 %, compared to traditional approaches. This study presents a high-precision, efficient solution for estimating battery capacity using cloud-based data from electric vehicles, offering substantial application value.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"114 ","pages":"Article 115718"},"PeriodicalIF":8.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance influence of auxiliary power batteries on hybrid energy storage system","authors":"Binbin Sun ,&nbsp;Bo Li ,&nbsp;Fantao Meng ,&nbsp;Pengwei Wang ,&nbsp;Xiao Yu","doi":"10.1016/j.est.2025.115719","DOIUrl":"10.1016/j.est.2025.115719","url":null,"abstract":"<div><div>To confirm the efficiency of HESS affected by supercapacitor and purely electric flywheel batteries. First, the operation modes of lithium battery-supercapacitor and lithium battery-flywheel hybrid energy systems are designed in this study. Based on this, a new energy management strategy based on Harr wavelet using variable decomposition layers is proposed. Finally, the test platform for two hybrid energy systems is constructed and the performance tests are completed. The test results show that under the UDDS condition, the average efficiency of Li-ion battery condition is improved by 4.13 % and the average efficiency of Li-ion battery-supercapacitor composite energy system condition is improved by 3.30 % compared with the single-energy Li-ion battery scheme affected by the instantaneous high power regulation of the supercapacitor. The average efficiency of the lithium battery condition is increased by 4.46 % with the purely electric flywheel, however, the average efficiency of the lithium battery-purely electric flywheel composite energy system condition is instead reduced by 9.90 % due to the low efficiency of the purely electric flywheel.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"114 ","pages":"Article 115719"},"PeriodicalIF":8.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technical-economic analysis for cascade utilization of spent power batteries in the energy storage system","authors":"Jing Zeng","doi":"10.1016/j.est.2025.115783","DOIUrl":"10.1016/j.est.2025.115783","url":null,"abstract":"<div><div>Cascade utilization cannot only make full use of the residual value of power batteries, but also weaken the threat of spent power batteries to the environment. In order to realize the green and sustainable development of the new energy automobile industry and promote the cascade utilization, the recycling system of spent power batteries, the characteristics of reverse logistics, and the relevant policies and standards of cascade utilization are summarized in this work. From the perspective of spent power battery recycling and cascade utilization of energy storage system, related technologies are discussed, including aging factors, detection, screening, regrouping, state estimation, capacity allocation, equilibrium strategies, etc. Combined with economy, the feasibility of large-scale application of cascade utilization is analyzed. In addition, this work also summarizes the typical mathematical formula of lithium battery aging diagnosis, residual capacity estimation and state estimation, which provides a reference for the construction of lithium battery fine model and digital twin model, and provides a theoretical basis for the design of lithium battery health management system. Finally, the problems and challenges faced by the cascade utilization of spent power batteries are discussed, as well as the future development prospects.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"114 ","pages":"Article 115783"},"PeriodicalIF":8.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}