Future Batteries最新文献

{"title":"The effective role of by – product of PANI/V2O5 in improving the electrolytic performance of p – toluene sulphonic acid","authors":"Aranganathan Viswanathan,&nbsp;Megha Naik,&nbsp;Theertha P. Ramesh,&nbsp;Adka Nityananda Shetty","doi":"10.1016/j.fub.2025.100091","DOIUrl":"10.1016/j.fub.2025.100091","url":null,"abstract":"<div><div>The use of liquid by-product obtained after the synthesis of electrode material as base fluid for the preparation of aqueous electrolytes instead of distilled water is beneficial in improving the electrolytic performance of aqueous electrolytes. The p – toluene sulphonic acid (PTSA) as electrolyte exhibited superior performance when prepared using the by-product obtained after the synthesis of PANI/V₂O₅ nanocomposite (PV) as a base fluid (PTSA+SL) to the electrolyte prepared using distilled water (PTSA). The PV exhibited 21.30 % higher energy storage in the presence (ITP) of PTSA+SL compared with that attained ITP of PTSA. The capacity (<em>Q</em>) and maximum energy stored (<em>E</em>_max) obtained ITP of PTSA are 1.13 C and 0.18 W h at 5 mV s^<img>1. The <em>Q</em> and <em>E</em>_max achieved ITP of PTSA+SL are 1.38 C and 0.23 W h at 5 mV s^<img>1. The utilization of by-products of the synthesis of electrode material back into the energy storage process brings this approach in to the umbrella of green energy storage processes. In addition, this approach personifies the concept of “waste to wealth” approach to work towards the sustainability in energy storage.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100091"},"PeriodicalIF":0.0,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ageing-aware trading with Li-ion battery storage: Trade-off between short-term market profits and long-term degradation","authors":"Mirko Ledro ,&nbsp;Jan Martin Zepter ,&nbsp;Morten Paludan ,&nbsp;Osazee Edo Idehen ,&nbsp;Mattia Marinelli","doi":"10.1016/j.fub.2025.100079","DOIUrl":"10.1016/j.fub.2025.100079","url":null,"abstract":"<div><div>With the growing popularity of grid-connected battery energy storage systems (BESSs), their operators seek a deeper understanding of the link between trading strategies and asset degradation to consolidate their business case (BC). Therefore, this paper proposes a techno-economic framework to link ageing-aware trading strategies with an empirical ageing model of a Li-ion BESS used for state-of-health (SOH) estimation. An unbounded trading strategy is compared with strategies accounting for BESS ageing through constraints or cost-of-use (COU) in the objective function. Additionally, this article derives the weights for the COU, which depend on multiple stress factors affecting the calendar and cycle degradation of the ageing model. The subject of investigation is a 20<!--> <!-->MW/10.85<!--> <!-->MWh BESS traded in the 30-min DA market in the UK. The decision-making is based on a three-day rolling horizon optimisation model, repeated over a year. Finally, the BC of the BESS is evaluated by combining market profits along the lifetime until the EOL criterion is reached. The BC analysis provides information on which ageing-aware trading strategy achieves the highest annualised net present value (NPV). The numerical results suggest that trading with COU in the objective function outperforms the other strategies, and including a COU per cycle results in an increase of up to 21% of annualised NPV compared to an unbounded strategy. Furthermore, deriving a COU from installation or replacement costs leads to a non-optimal annualised NPV. Finally, the analysis highlights the importance of using the annualised NPV to compare results from BESS projects of different lifetimes.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100079"},"PeriodicalIF":0.0,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving active mass yield and dynamic charge acceptance in lead-acid batteries through efficient dispersion of carbon nanotubes within the electrode","authors":"Maria Nicheilly Pontes Araújo ,&nbsp;Euzébio Skovroinski ,&nbsp;Eduardo Padrón Hernandez ,&nbsp;André Galembeck","doi":"10.1016/j.fub.2025.100089","DOIUrl":"10.1016/j.fub.2025.100089","url":null,"abstract":"<div><div>The lead-acid battery (LAB) market is projected to grow at an annual rate of 7 % through 2030 despite the increasing demand for lithium-ion technologies. To address evolving performance requirements, it is essential to enhance parameters such as dynamic charge acceptance and active material utilization. Carbon nanotube (CNT) based additives have shown promise in improving these properties; however, achieving efficient dispersion of CNTs within the electrode remains a significant challenge. This study demonstrates the successful incorporation of highly stable CNT-lignosulfonate dispersions into the negative electrode, resulting in individual nanotubes uniformly distributed throughout the paste. This approach enabled the production of prototypes with an 11.2 % increase in active material yield and a threefold improvement in dynamic charge acceptance. Additionally, water loss was reduced by 50 % compared to electrodes with CNTs alone. These results highlight the effectiveness of lignosulfonate as both a dispersing agent and functional additive to enhance lead-acid battery performance.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100089"},"PeriodicalIF":0.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of the SOH and cycle life of fast-charging lithium-ion batteries based on a machine learning framework","authors":"Zehao Yang,&nbsp;Yuchen Zhang,&nbsp;Yanqin Zhang","doi":"10.1016/j.fub.2025.100088","DOIUrl":"10.1016/j.fub.2025.100088","url":null,"abstract":"<div><div>Accurately assessing the state of health (SOH) of lithium-ion batteries is vital for enhancing longevity, optimizing utilization, and ensuring safety. Although data-driven approaches like sliding window-based neural networks show effectiveness in SOH prediction, they often fail to accurately model the nonlinear 'slow-then-fast' capacity degradation trajectory observed in fast-charging lithium-ion batteries. This study presents a novel machine learning framework that integrates cycle life matching via a gated recurrent unit (GRU) network with a sliding window-based long short-term memory (LSTM) model for accurate prediction of state of health (SOH) and cycle life in fast-charging lithium-ion batteries. Evaluation results demonstrate that using only the first 400 cycles of data, the proposed method achieves an average root mean square percentage error (RMSPE) of 1.3389 % and mean absolute percentage error (MAPE) of 1.1879 % for SOH prediction, with an average relative error of 2.0816 % for cycle life prediction. These findings highlight the efficacy of combining GRU-based cycle life matching with sliding window-LSTM in modeling nonlinear degradation behavior, providing a high-precision solution for real-time health monitoring in battery management systems (BMS).</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100088"},"PeriodicalIF":0.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Next-generation battery energy management systems in electric vehicles: An overview of artificial intelligence","authors":"Nayan Kumar ,&nbsp;Prabhansu","doi":"10.1016/j.fub.2025.100087","DOIUrl":"10.1016/j.fub.2025.100087","url":null,"abstract":"<div><div>This article proposes a comprehensive overview of the potential of artificial intelligence (AI) and its subsets-machine learning (ML) and deep learning (DL) in next-generation battery energy management systems (BEMS) for electric vehicles (EVs). Next-generation BEMS has gained close attention from professionals in the energy sectors due to monitoring voltage and current, estimating charge and discharge, equalizing and protecting the battery, managing temperature conditions, and managing battery data analytics. The discussion also highlights the challenges and opportunities associated with AI-based BEMS, considering efficiency, energy management, reliability, control, and life factors. Finally, the article discusses several other potential disruptive impacts of AI-enabled BEMSs for next-generation EVs. The article also highlights key challenges and critically analyzes recent research efforts and open gaps in BEMS.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100087"},"PeriodicalIF":0.0,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance enhancement of vanadium redox flow battery by flow field modification: Channel height reduction and channel blockage","authors":"Taha Karami ,&nbsp;Mohammad Reza Zangeneh","doi":"10.1016/j.fub.2025.100086","DOIUrl":"10.1016/j.fub.2025.100086","url":null,"abstract":"<div><div>Vanadium redox flow batteries (VRFBs) are one of the most promising energy storage devices, but they have not yet reached their viable pinnacle of performance and commercialization. A major hurdle has been low power density due to high concentration overpotential, which is a result of uneven electrolyte distribution. Improving the convective mass transfer by flow field modifications appears to be the key to tackling this challenge. In the present study, a 3-D half-cell model of a VRFB with a serpentine flow field is developed and simulated during discharge. Having chosen the average value and uniformity index of velocity magnitude in the electrode as indicators of convective mass transport, net power density is then compared for the modified flow fields, taking both required pumping power and discharge power into account. The new flow fields are designed based on two different methods: (i) reducing the channel height or (ii) adding an array of blocks with different heights in serpentine bends and channel midpoints. It is found that the best design among the investigated cases is the flow field with 100 % blockage at bends and 80 % blockage at channel midpoints. This design achieved the highest uniformity of electrolyte velocity in the electrode and more than 56 % enhancement in the net power density, reaching 276 mW cm⁻². The results of the present study can provide applicable insights for devising convenient flow fields and compact VRFB systems.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100086"},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global sensitivity analysis on parameter identifications of electrochemical Li-ion cell model using transient test data scaled from battery electric vehicle experiments","authors":"Ratnak Sok ,&nbsp;Jin Kusaka","doi":"10.1016/j.fub.2025.100085","DOIUrl":"10.1016/j.fub.2025.100085","url":null,"abstract":"<div><div>Accurate performance prediction of lithium-ion batteries at a cell level is crucial before the cell can be scaled to a pack for a system-level simulation of battery electric vehicles (BEV). The Doyle-Fuller-Newman (DFN) model is commonly used to predict the thermal-electrochemical performance of a Li-ion cell. The model has numerous parameter identifications, which is challenging when selecting important parameters for model optimizations and calibrations. The cell model parameters are not transferable due to different materials and properties. Related literature studies on parameter identifications only used measured cell response data from cell testing chambers, which did not consider the impact of real vehicle thermal management systems (VTMS). This work presents a thorough global sensitivity analysis to identify the most suitable NCA/Gr.-SiO_x cell parameters before optimization. Firstly, the Elementary Effect (EE) method was utilized to evaluate (un)important 42 global parameters, of which 16 parameters can be reasonably neglected due to their low mean EE and standard deviations. Experiments of a battery electric SUV were performed under repeated Worldwide harmonized Light vehicles Test Cycle (WLTC) and combined Highway Fuel Economy Test Cycle (HWFET) with Federal Test Procedure (FTP75) driving. Measured transient performances (voltage, state-of-charge, and cell temperature) of a 75-kWh Li-ion battery pack (4416 cells) are scaled to a cell level for model validations. Then, the remaining 26 parameters are optimized for the cylindrical 21700 cell model to reasonably validate the dynamic cell performances. The sensitivity of the important DFN parameters is reported, providing a guideline for future parameter identifications in Li-ion pack model development with actual VTMS.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced monoclinic sulfur loading on carbon fiber matrices for Li-S battery cathodes via a chemical activation pathway","authors":"Joseph Nishanth ,&nbsp;Jyoti Shikhar ,&nbsp;Mohammed Saquib Khan ,&nbsp;Swati Sharma ,&nbsp;Kanwar Singh Nalwa ,&nbsp;Sudarshan Narayanan","doi":"10.1016/j.fub.2025.100083","DOIUrl":"10.1016/j.fub.2025.100083","url":null,"abstract":"<div><div>Although lithium-sulfur (Li-S) batteries present a promising alternative to conventional Li-ion batteries, their adoption is severely limited by low cycle life, poor rate capability, polysulfide shuttling, and incompatibility with carbonate electrolytes. Recent studies indicate that the monoclinic phase of sulfur enables a single-step reaction from S₈ to Li₂S during cycling, avoiding intermediate polysulfides and resulting in stable cycling for over 1000 cycles. In this work, we report on the loading of monoclinic sulfur onto electrospun polyacrylonitrile (PAN)-derived carbon fiber (CF) mats for their use as cathodes in Li-S batteries. We demonstrate that KOH activation of these CF mats significantly enhances the loading of monoclinic sulfur, achieving a nearly four-fold increase. Li-S cells fabricated with these activated and sulfur-loaded CF mats, paired with a low-cost carbonate electrolyte and lithium metal anode, achieved a specific capacity of 970 mAh g⁻¹ at 1 C (areal capacity of 1 mAh cm⁻²). The cells retain 91 % of their initial capacity even after 1000 charge-discharge cycles without the need for sulfur confinement. Additionally, the cells deliver a specific capacity of 400 mAh g⁻¹ at a C-rate as high as 40 C. These findings suggest that activated CFs with non-confined monoclinic sulfur have significant potential for the commercialization of Li-S batteries using cost-effective carbonate electrolytes.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100083"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the enhanced nanostructures of MnO2/CuO/Co3O4 for their potential use as electrodes in supercapacitor application","authors":"M. Gladys Joysi ,&nbsp;S. Senthil ,&nbsp;G. Nagarajan ,&nbsp;P. Joselene Suzan Jennifer ,&nbsp;S. Muthupandi ,&nbsp;S. Bharathi Bernadsha ,&nbsp;K. Leo Lawrence ,&nbsp;M. Victor Antony Raj","doi":"10.1016/j.fub.2025.100081","DOIUrl":"10.1016/j.fub.2025.100081","url":null,"abstract":"<div><div>This study explores the synthesis of rod-like manganese-copper-cobalt (MCC) composites through a hydrothermal process, resulting in visually appealing morphologies. The synthesized MCC nanocomposites characterization through various techniques. The analysis confirmed the incorporation of transition-metal oxides in metallic composites in the desired oxidation states. The electrochemical performance of the rod-like MCC composites was evaluated. The results revealed impressive pseudocapacitance characteristics, with a high specific capacitance of 670.31 Fg⁻¹ at 5 mVs⁻¹ and excellent cycling stability, retaining 91 % capacitance even after 5000 cycles. Further calculations demonstrated notable areal-specific capacitance (231.38 mFcm⁻²), energy density (0.0157 mWh cm⁻²), and power density (0.1487 mW cm⁻²) for the MCC composites. These findings demonstrate the potential of well-morphologically established MCC composites as capable electrode materials for energy storage in electrochemical supercapacitors.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100081"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristic frequency of the diffusion response of the blocked-diffusion Warburg impedance with frequency dispersion","authors":"Samuel Cruz-Manzo","doi":"10.1016/j.fub.2025.100084","DOIUrl":"10.1016/j.fub.2025.100084","url":null,"abstract":"<div><div>The blocked-diffusion Warburg impedance with frequency dispersion (BDWf) can be considered in equivalent electrical circuits to characterise the low-frequency impedance response of batteries. In this study, the characteristic frequency of the diffusion response <span><math><msub><mrow><mi>f</mi></mrow><mrow><mi>d</mi></mrow></msub></math></span> of the BDWf impedance is calculated using the analytical transfer function reported in a previous study and the Newton-Raphson iteration method. The results show that the characteristic frequency of the diffusion response <span><math><msub><mrow><mi>f</mi></mrow><mrow><mi>d</mi></mrow></msub></math></span> is a numerical value x (calculated from the Newton-Raphson iteration) greater than the frequency calculated from the time constant <span><math><msub><mrow><mi>τ</mi></mrow><mrow><mi>BW</mi></mrow></msub></math></span> of the BDWf impedance as follows: <span><math><mrow><msub><mrow><mi>f</mi></mrow><mrow><mi>d</mi></mrow></msub><mo>=</mo><mfrac><mrow><mi>x</mi></mrow><mrow><mn>2</mn><mi>π</mi><msub><mrow><mi>τ</mi></mrow><mrow><mi>BW</mi></mrow></msub></mrow></mfrac></mrow></math></span>. In this study, the characteristic frequency of the diffusion response <span><math><msub><mrow><mi>f</mi></mrow><mrow><mi>d</mi></mrow></msub></math></span> is also represented in the impedance response of the BDWf impedance. The characteristic diffusion time constant <span><math><msub><mrow><mi>τ</mi></mrow><mrow><mi>d</mi></mrow></msub></math></span> calculated from the characteristic frequency of the diffusion response <span><math><msub><mrow><mi>f</mi></mrow><mrow><mi>d</mi></mrow></msub></math></span> of the BDWf impedance and estimated from battery impedance measurements, could provide a new estimation of the effective anomalous diffusion coefficient of charge carriers in battery electrodes with heterogeneous particle structure. Additionally, the output voltage of a battery measured at the characteristic diffusion time constant <span><math><msub><mrow><mi>τ</mi></mrow><mrow><mi>d</mi></mrow></msub></math></span> during current pulse tests could be considered a valuable ageing signature for assessing the state of health of the battery.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100084"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}