Future Batteries最新文献_第3页

Research and development of artificial intelligence in layered cathode materials for lithium-ion batteries 锂离子电池层状正极材料人工智能研究与开发

Future Batteries Pub Date : 2025-07-17 DOI: 10.1016/j.fub.2025.100093

Niu Zhao, Songguo Yi, Wenji Wang, Yue Zhang, Jiaheng Luo, Lingjun Li, Tianxiang Ning, Lei Tan, Kangyu Zou

{"title":"Research and development of artificial intelligence in layered cathode materials for lithium-ion batteries","authors":"Niu Zhao, Songguo Yi, Wenji Wang, Yue Zhang, Jiaheng Luo, Lingjun Li, Tianxiang Ning, Lei Tan, Kangyu Zou","doi":"10.1016/j.fub.2025.100093","DOIUrl":"10.1016/j.fub.2025.100093","url":null,"abstract":"<div><div>Lithium-ion batteries (LIBs), as core energy storage devices, have attracted significant attention due to their advantages such as high energy density. As the most promising cathode materials, layered cathode materials face challenges such as poor structural stability and thermal instability. Traditional trial-and-error approaches in layered cathode material research struggle to address these issues efficiently due to their reliance on complex variables and labor-intensive processes. In contrast, artificial intelligence (AI), with its capacity to process vast datasets and intricate variables, offers a transformative pathway to overcome these bottlenecks. This paper reviews recent advancements in AI applications for layered cathode materials in LIBs, covering material design and manufacturing, characterization and performance prediction, and battery management. Current limitations of AI, including data quality inconsistencies and model interpretability issues, are critically analyzed. Furthermore, future directions for AI-driven material discovery and multi-physics modeling are proposed, providing novel insights for the development of high-performance layered cathode materials.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100093"},"PeriodicalIF":0.0,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680506","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}

引用次数: 0

A tert-butyl functionalized quinone as active material for rechargeable aqueous zinc-ion batteries exhibiting high round-trip efficiency 叔丁基功能化醌作为可充电水性锌离子电池的活性物质，具有高往返效率

Future Batteries Pub Date : 2025-07-13 DOI: 10.1016/j.fub.2025.100092

Alejandra Ibarra Espinoza , Thomas J. Baker , Storm W.D. Gourley , Caio M. Miliante , Kevin J. Sanders , Zeyuan Liu , Gillian R. Goward , Oleg Rubel , Brian D. Adams , Drew Higgins

{"title":"A tert-butyl functionalized quinone as active material for rechargeable aqueous zinc-ion batteries exhibiting high round-trip efficiency","authors":"Alejandra Ibarra Espinoza , Thomas J. Baker , Storm W.D. Gourley , Caio M. Miliante , Kevin J. Sanders , Zeyuan Liu , Gillian R. Goward , Oleg Rubel , Brian D. Adams , Drew Higgins","doi":"10.1016/j.fub.2025.100092","DOIUrl":"10.1016/j.fub.2025.100092","url":null,"abstract":"<div><div>The implementation of renewable electricity into the grid requires efficient grid-energy storage systems for balancing supply and demand. Rechargeable zinc-ion batteries (ZIBs) are a low-cost, safe option for grid energy storage; however, challenges pertaining to energy storage capacity, round-trip efficiency, stability, and reliance on critical minerals still need to be addressed. Herein, 3,5-di-tert-butyl-ortho-benzoquinone (TBOBQ) was evaluated as an organic cathode material for ZIBs, achieving a maximum theoretical specific capacity of 246 mAh/g at 40 mA/g (C/4) with a 1 to 1 mass ratio of TBOBQ-to-acetylene black. The observed charge and discharge curves presented a voltage hysteresis of only 100 mV, resulting in a round-trip efficiency of 90 %. Degradation of the TBOBQ cathode was attributed to fractional dimerization and dissolution during discharge, as observed by nuclear magnetic resonance, mass spectroscopy, and rotating ring disk electrode. This work sets the stage for the development of organic ZIB cathodes based on TBOBQ with high discharge capacities and energy efficiency.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100092"},"PeriodicalIF":0.0,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670853","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}

引用次数: 0

Understanding property variability of lithium-ion cells in multi-cell battery packs 了解多芯电池组中锂离子电池的性能变化

Future Batteries Pub Date : 2025-07-07 DOI: 10.1016/j.fub.2025.100090

Félix-A. LeBel , Simon Campeau , Mathieu Blanchard , Pascal Messier , João Pedro F. Trovão

{"title":"Understanding property variability of lithium-ion cells in multi-cell battery packs","authors":"Félix-A. LeBel , Simon Campeau , Mathieu Blanchard , Pascal Messier , João Pedro F. Trovão","doi":"10.1016/j.fub.2025.100090","DOIUrl":"10.1016/j.fub.2025.100090","url":null,"abstract":"<div><div>The performance and reliability of lithium-ion batteries, which are crucial for electric vehicles (EVs) and battery energy storage systems (BESS), are fundamentally dependent on the quality of their cells and components. Despite stringent quality control, intrinsic factors cause cell-to-cell variations (CtCV) in capacity and internal resistance. This paper explores the effects of CtCV in multi-cell battery modules, on current distribution, heat generation and evolution of temperature. This study presents a multi-cell electro-thermal model considering individual cell behavior, and interactions between parallel-connected cells. The Monte Carlo simulation method is used to study the correlations between CtCV and its global impact on overall battery performance. Our findings show that CtCV causes significant variations in cell behavior, particularly at high discharge rates, negatively impacting overall system performance. The effect of the number of cells in parallel is studied. This research provides a comprehensive understanding of the impact of CtCV and offers practical solutions to improve design and manufacturing of large battery modules for EVs and renewable energy applications.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100090"},"PeriodicalIF":0.0,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687415","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}

引用次数: 0

The effective role of by – product of PANI/V2O5 in improving the electrolytic performance of p – toluene sulphonic acid PANI/V2O5副产物对改善对甲苯磺酸电解性能的有效作用

Future Batteries Pub Date : 2025-07-05 DOI: 10.1016/j.fub.2025.100091

Aranganathan Viswanathan, Megha Naik, Theertha P. Ramesh, Adka Nityananda Shetty

{"title":"The effective role of by – product of PANI/V2O5 in improving the electrolytic performance of p – toluene sulphonic acid","authors":"Aranganathan Viswanathan, Megha Naik, Theertha P. Ramesh, 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/V<sub>2</sub>O<sub>5</sub> 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><sub>max</sub>) obtained ITP of PTSA are 1.13 C and 0.18 W h at 5 mV s<sup><img>1</sup>. The <em>Q</em> and <em>E</em><sub>max</sub> achieved ITP of PTSA+SL are 1.38 C and 0.23 W h at 5 mV s<sup><img>1</sup>. 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}

引用次数: 0

Ageing-aware trading with Li-ion battery storage: Trade-off between short-term market profits and long-term degradation 锂离子电池存储的老化感知交易：短期市场利润与长期退化之间的权衡

Future Batteries Pub Date : 2025-06-27 DOI: 10.1016/j.fub.2025.100079

Mirko Ledro , Jan Martin Zepter , Morten Paludan , Osazee Edo Idehen , Mattia Marinelli

{"title":"Ageing-aware trading with Li-ion battery storage: Trade-off between short-term market profits and long-term degradation","authors":"Mirko Ledro , Jan Martin Zepter , Morten Paludan , Osazee Edo Idehen , 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 20MW/10.85MWh 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}

引用次数: 0

Improving active mass yield and dynamic charge acceptance in lead-acid batteries through efficient dispersion of carbon nanotubes within the electrode 通过碳纳米管在电极内的有效分散提高铅酸电池的有效质量产率和动态电荷接受度

Future Batteries Pub Date : 2025-06-25 DOI: 10.1016/j.fub.2025.100089

Maria Nicheilly Pontes Araújo , Euzébio Skovroinski , Eduardo Padrón Hernandez , André Galembeck

{"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 , Euzébio Skovroinski , Eduardo Padrón Hernandez , 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}

引用次数: 0

Prediction of the SOH and cycle life of fast-charging lithium-ion batteries based on a machine learning framework 基于机器学习框架的快充锂离子电池SOH和循环寿命预测

Future Batteries Pub Date : 2025-06-25 DOI: 10.1016/j.fub.2025.100088

Zehao Yang, Yuchen Zhang, Yanqin Zhang

{"title":"Prediction of the SOH and cycle life of fast-charging lithium-ion batteries based on a machine learning framework","authors":"Zehao Yang, Yuchen Zhang, 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}

引用次数: 0

Next-generation battery energy management systems in electric vehicles: An overview of artificial intelligence 新一代电动汽车电池能量管理系统：人工智能概述

Future Batteries Pub Date : 2025-06-23 DOI: 10.1016/j.fub.2025.100087

Nayan Kumar , Prabhansu

引用次数: 0

Performance enhancement of vanadium redox flow battery by flow field modification: Channel height reduction and channel blockage 通过流场改性提高钒氧化还原液流电池的性能：降低通道高度和堵塞通道

Future Batteries Pub Date : 2025-06-19 DOI: 10.1016/j.fub.2025.100086

Taha Karami , Mohammad Reza Zangeneh

{"title":"Performance enhancement of vanadium redox flow battery by flow field modification: Channel height reduction and channel blockage","authors":"Taha Karami , 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<sup>−2</sup>. 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}

引用次数: 0

Global sensitivity analysis on parameter identifications of electrochemical Li-ion cell model using transient test data scaled from battery electric vehicle experiments 基于纯电动汽车暂态试验数据的电化学锂离子电池模型参数辨识全局敏感性分析

Future Batteries Pub Date : 2025-06-11 DOI: 10.1016/j.fub.2025.100085

Ratnak Sok , Jin Kusaka

{"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 , 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<sub>x</sub> 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}

引用次数: 0