Future Batteries最新文献

{"title":"Image-matching in electrode production of lithium-ion batteries for marker-free tracking and tracing applications","authors":"Johannes Lindenblatt ,&nbsp;Janik Schneider ,&nbsp;Alessandro Sommer ,&nbsp;Rüdiger Daub","doi":"10.1016/j.fub.2025.100049","DOIUrl":"10.1016/j.fub.2025.100049","url":null,"abstract":"<div><div>The high complexity of lithium-ion battery production is defined by many process steps and numerous parameters. Unknown cause–effect relationships lead to production deviations and costly scrap. Therefore, data-driven approaches are increasingly being used to uncover these complex interactions. Creating comprehensive, transparent data sets based on production data, enables the identification of correlations and relevant parameters, thus facilitating efficiency improvements and the optimization of the lithium-ion production. Currently, tracking and tracing of production data to individual electrode sections is performed with physical markers on uncoated electrode parts or coils. Interactions within the processing of the battery electrodes and mechanical deformation of the current collector foil can lead to illegibility of the physical markings and thus make tracking and tracing impossible. Furthermore, the resolution of the data recording is currently tied to the discrete markings. However, advances in computer vision and computing power offer a non-invasive, marker-free solution using camera images. This paper presents an approach of unique identification of electrode sections using image-matching for marker-free tracking and tracing applications. High-resolution electrode images were acquired in-line, allowing the evaluation of artificial intelligence to demonstrate the applicability of different classical and learning-based image-matching approaches for the identification of electrode sections. The results provided a clear recommendation for image-based tracking and tracing using neuronal networks. Marker-free tracking using electrode images allowed for immediate identification of electrode sections, storage of production data in a virtual electrode model, and inclusion of additional quality information derived from the images.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"5 ","pages":"Article 100049"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging the gap between life cycle assessment and lithium-ion batteries for electrification of vehicles: A critical review towards unified frameworks","authors":"Maria Tournaviti,&nbsp;Alexandra V. Michailidou,&nbsp;Christodoulos Savva,&nbsp;Christos Vlachokostas","doi":"10.1016/j.fub.2025.100047","DOIUrl":"10.1016/j.fub.2025.100047","url":null,"abstract":"<div><div>Electric vehicles are taking over the global automotive industry as a proposed measure to mitigate emissions from the transport sector. Batteries are a vital component of electric vehicles as they provide energy for their propulsion. The high demand for materials and energy needed for battery production can negatively affect the overall benefits obtained during the use phase, shifting the environmental burden to the production phase. Therefore, it is crucial to evaluate their environmental impact. This study aims to review the existing literature on the life cycle assessment of automotive batteries. The objective of the review is to identify the challenges met by life cycle assessment practitioners and provide useful insights to the automotive battery industry, particularly focusing on fostering innovation and improving sustainability practices. A total of 91 studies from 2010 until 2024 were critically reviewed on their goals, methods, and data sources. The energy-based functional unit is the most adopted one. The main contributor to GWP appears to be the use phase, depending on the charging electricity mix, although battery manufacturing is also an energy-intensive process. ReCiPe was the most common midpoint life cycle impact assessment method, employed in 34 % of the studies, followed by CML in 22 % of them and SimaPro was the most used software (30 % of the studies), followed by Gabi (16 %). Through the review, it was realized that emphasis is given to well-established batteries in the automotive industry and the environmental impact associated with their manufacturing. However, priority should be shifted towards emerging battery technologies and advanced recycling methods at the end-of-life stage, highlighting their potential to enhance sustainability and reduce environmental impacts. The gap in accurately estimating emissions during the use phase of electric vehicles should also be addressed by developing a standardized and universally accepted methodology.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"5 ","pages":"Article 100047"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Role of surface Li vacancies on the moisture stability of Li10SiP2S12 solid electrolyte: Insights from first-principles calculations","authors":"Hou-Jen Lai,&nbsp;Santhanamoorthi Nachimuthu,&nbsp;Hao-Xiang Zheng,&nbsp;Jyh-Chiang Jiang","doi":"10.1016/j.fub.2025.100043","DOIUrl":"10.1016/j.fub.2025.100043","url":null,"abstract":"<div><div>Sulfide-based solid-state electrolytes (SSEs) play a crucial role in the development of all-solid-state lithium-ion batteries (ASSLBs). However, their susceptibility to hydrolysis under humid conditions, leading to the release of toxic H₂S gas, severely limits practical applications. Elemental substitution has been widely used to enhance both the ionic conductivity and chemical stability of sulfide SSEs. Additionally, lithium vacancies have been shown to increase Li-ion conductivity, yet their effect on the moisture stability of sulfide SSEs remains insufficiently explored. In this study, we investigate the effect of Li-vacancies on the moisture stability of Li₁₀SiP₂S₁₂(LSiPS), a model sulfide SSE, using density functional theory (DFT) calculations. Our findings reveal that Li vacancies on the Li₁₀SiP₂S₁₂ (v-LSiPS), surface significantly raise the energy barrier for H₂S formation, indicating a considerable enhancement in moisture stability. Detailed bond length analyses and electron density difference (EDD) calculations demonstrate strengthened P-S bonds in the presence of Li vacancies, providing a mechanistic basis for improved stability. These insights offer valuable guidance for designing more robust sulfide-based SSEs suitable for real-world ASSLB applications.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"5 ","pages":"Article 100043"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable recycling and regeneration of redox flow battery components","authors":"Yong Zuo ,&nbsp;Wenxuan Fu ,&nbsp;Puiki Leung ,&nbsp;Tadele H. Wondimu ,&nbsp;Mohd Rusllim Mohamed ,&nbsp;Cristina Flox ,&nbsp;A.A. Shah ,&nbsp;Qian Xu ,&nbsp;Qiang Liao","doi":"10.1016/j.fub.2025.100044","DOIUrl":"10.1016/j.fub.2025.100044","url":null,"abstract":"<div><div>As the demand for large-scale sustainable energy storage grows, redox flow batteries (RFBs), particularly all-vanadium RFBs (VRFBs), have emerged as a promising solution. This review explores recycling and regeneration strategies for key VRFB components, including vanadium electrolytes, ion-exchange membranes and carbon felt electrodes, to enhance their sustainability and economic viability. Vanadium electrolytes, which account for up to 30 % of system costs, can be effectively recovered through ion-exchange and chemical reduction processes, reducing dependence on primary vanadium production. Ion-exchange membranes, primarily Nafion®, are high-cost components. While recycling methods, such as chemical dissolution and recasting show promise, challenges remain in maintaining ionic selectivity and mechanical integrity. Carbon felt electrodes, which are essential for electrochemical performance, degrade over time due to fouling and oxidation and require regeneration through thermal, chemical or physical treatments. Despite the distinct challenges of recycling each component, their effective recovery is critical for reducing operational costs, extending system lifetimes and minimizing environmental impacts. This review highlights recent technological advancements, current limitations and the broader economic and environmental benefits of sustainable recycling strategies, emphasizing their crucial role in ensuring the long-term viability of VRFBs for grid-scale energy storage.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"5 ","pages":"Article 100044"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning estimation of battery state of health in residential photovoltaic systems","authors":"Joaquin Luque ,&nbsp;Benedikt Schroeder ,&nbsp;Alejandro Carrasco ,&nbsp;Houman Heidarabadi ,&nbsp;Carlos León ,&nbsp;Holger Hesse","doi":"10.1016/j.fub.2025.100039","DOIUrl":"10.1016/j.fub.2025.100039","url":null,"abstract":"<div><div>As the global adoption of residential battery storage systems paired with local photovoltaic (PV) generation increases, prosumers are increasingly motivated to reduce both their electricity costs and dependence on the grid. This shift highlights the importance of accurately evaluating and predicting the battery's State of Health (SOH) and Remaining Useful Life (RUL). These factors are crucial for determining the operational costs and longevity of battery systems. Traditionally, SOH predictions have relied heavily on detailed measurement data and time-intensive simulations. In response, we introduce a new AI-based approach that simplifies SOH estimation. Our method, named \"ML Battery Life Predictor (MLBatLife),\" leverages forecasted or historical PV generation data and load consumption patterns to quickly forecast the SOH for various battery configurations. Tested on simulated data, this tool demonstrated a high accuracy, with a coefficient of determination of 0.986 for predictions one day ahead, and an impressively low average error of 0.1 % for projections five years into the future. This innovative AI-driven technique offers substantial benefits for evaluating the economic viability and warranty parameters of battery installations in different regions. It provides a valuable resource for both industry stakeholders and energy system planners aiming to assess and anticipate battery health outcomes efficiently.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"5 ","pages":"Article 100039"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empowering tomorrow: Overview of revolution battery technology, charging paradigms and diagnostics","authors":"Ali Al Zyoud","doi":"10.1016/j.fub.2025.100040","DOIUrl":"10.1016/j.fub.2025.100040","url":null,"abstract":"<div><div>The evolution of battery technology has been pivotal in addressing the growing energy demands of modern society. This paper explores the transition from traditional to modern charging techniques, emphasizing the improvements in charging technologies, diagnostics, and battery managing systems. It also examines the implications of these developments on electric vehicles, grid storage, and consumer electronics. The integration of artificial intelligence and the Internet of Things in battery diagnostics and managing is concerned, alongside methods for refreshing and recovery. The paper finalizes with case studies illustrating these technological advancements' real-world impacts.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"5 ","pages":"Article 100040"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conversion-type charge/discharge reaction observed with Fe2O3-modified reduced graphene oxide positive electrode for aluminum rechargeable batteries","authors":"Masanobu Chiku,&nbsp;Tomoki Fujisawa,&nbsp;Hiroshi Nagao,&nbsp;Eiji Higuchi,&nbsp;Hiroshi Inoue","doi":"10.1016/j.fub.2025.100030","DOIUrl":"10.1016/j.fub.2025.100030","url":null,"abstract":"<div><div>Aluminum rechargeable batteries were prepared using commercially available iron oxide powder or reduced graphene oxide modified with iron oxide nanoparticles as positive electrode materials. The commercially available iron oxide powder was reversibly charged/discharged, but its capacity was very small, whitlow 15 mA h g⁻¹. The charge/discharge mechanism was investigated by using X-ray diffraction, and it was found that iron oxide was reduced to iron metal during discharge, indicating a conversion-type reaction. This is the first time that a conversion-type positive electrode material for aluminum rechargeable batteries has been constructed using iron oxide. By utilizing a sulfone base electrolyte, we have fabricated the aluminum rechargeable batteries using a conversion reaction with copper chloride. A similar effect is expected for iron oxide. The use of reduced graphene oxide modified with iron oxide nanoparticles as a positive electrode resulted in a significant increase to 100 mA h g⁻¹ in charge/discharge capacity, and the capacity retention after 100 cycles was about 60 %, showing good cycle characteristics for a rechargeable battery as a conversion-type electrode material.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"5 ","pages":"Article 100030"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven state of health and state of safety estimation for alternative battery chemistries — A comparative review focusing on sodium-ion and LFP lithium-ion batteries","authors":"Erik Vanem ,&nbsp;Shuai Wang","doi":"10.1016/j.fub.2025.100033","DOIUrl":"10.1016/j.fub.2025.100033","url":null,"abstract":"<div><div>This paper presents a comprehensive survey on data-driven online estimation of state of health (SoH) for alternative battery chemistries for maritime applications, with a particular focus on LFP lithium-ion and sodium-ion types of batteries. In addition, the emerging concept of state of safety (SoS), a critical yet underexplored metric for maritime battery systems, is explored. Building on previous work on nickel–manganese–cobalt (NMC) lithium-ion batteries, this study evaluates the applicability of existing SoH estimation methodologies to alternative chemistries. The findings suggest that similar data-driven approaches, including empirical and semi-empirical methods, physics-based models, machine learning models, and hybrid approaches, can be employed across these chemistries. However, the methods require calibration, fine-tuning, and validation for each specific battery type. It is believed that SoS holds significant potential for maritime applications, provided it incorporates a relevant set of safety sub-functions with properly defined thresholds and warning criteria. Its integration into real-time monitoring systems appears feasible, given continuous measurement of relevant inputs. However, further research is recommended on how to best account for interdependencies between the various safety sub-function and correlations in the input data as well as how to account for the effect of degradation on SoS. Additionally, it seems reasonable to investigate whether some kind of memory could be incorporated in order to account for the experience of previous abusive conditions.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"5 ","pages":"Article 100033"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent status of application of nanocarbon composite materials for electric energy storage and conversion: A mini review","authors":"Heri Rustamaji ,&nbsp;Tirto Prakoso ,&nbsp;Hary Devianto ,&nbsp;Pramujo Widiatmoko ,&nbsp;Pramahadi Febriyanto ,&nbsp;Simparmin br Ginting ,&nbsp;Darmansyah Darmansyah ,&nbsp;Martinus Martinus","doi":"10.1016/j.fub.2025.100028","DOIUrl":"10.1016/j.fub.2025.100028","url":null,"abstract":"<div><div>Nanocarbon composites have emerged as a vanguard technology in energy conversion and storage, redefining the paradigms of battery, supercapacitor, and solar cell design. Researchers are orchestrating a paradigm shift in energy storage dynamics by leveraging the exceptional characteristics of materials such as graphite, fullerene, graphene, and carbon nanotubes. The intrinsic attributes of nanocarbon, including superior electrical conductivity, mechanical resilience, and expansive surface areas, delineate them as pivotal constituents for augmenting the performance metrics of energy storage and conversion devices. In the domain of batteries, nanocarbon composites engender heightened energy density, accelerated charge/discharge kinetics, and prolonged cycle life. Concurrently, their integration into supercapacitors begets augmented energy and power densities, facilitating swift energy transference and storage. These composites' malleable and lightweight nature introduces a transformative dimension, enabling the fabrication of compact, pliable, and highly efficient energy storage apparatus.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"5 ","pages":"Article 100028"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Balancing the grid: Assessing the benefits of aggregated residential batteries for frequency control and prosumers","authors":"Alejandro Pena-Bello ,&nbsp;Mokhtar Bozorg ,&nbsp;Mario Paolone ,&nbsp;Martin K. Patel ,&nbsp;David Parra","doi":"10.1016/j.fub.2025.100023","DOIUrl":"10.1016/j.fub.2025.100023","url":null,"abstract":"<div><div>The massive increase in stochastic renewable generation, expected in the context of the energy transition, poses challenges to the stability of the power grid. Battery energy storage can positively impact the penetration of distributed solar photovoltaic (PV) systems while positively impacting the whole grid’s hosting capacity in two different ways. First, it increases the amount of PV self-consumption and, therefore, increases the value of PV generation for prosumers. Second, batteries can provide ancillary services with particular value to frequency control. In this study, we analyze the techno-economic benefits and trade-offs for the prosumer and the grid associated with a pool of distributed storage systems, managed by an aggregator participating in the Swiss frequency control market. To this end, we apply a dispatch model to behind-the-meter batteries to quantify the added value of providing automatic and manual frequency restoration reserve (aFRR and mFRR) for prosumers. We find that the provision of aFRR and mFRR considerably increases the attractiveness of battery investments, in particular for large assets. However, the use of batteries for aFRR and mFRR brings along a reduction in total PV self-sufficiency, as well as a reduced battery lifetime, which should be taken into account by the prosumer at the moment of joining an aggregator, highlighting the duality between the prosumer’s self-sufficiency and financial revenue.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"5 ","pages":"Article 100023"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}