Future Batteries最新文献

{"title":"A review of battery energy storage system for renewable energy penetration in electrical power system: Environmental impact, sizing methods, market features, and policy frameworks","authors":"Tha'er Jaradat ,&nbsp;Tamer Khatib","doi":"10.1016/j.fub.2025.100106","DOIUrl":"10.1016/j.fub.2025.100106","url":null,"abstract":"<div><div>This review establishes a comprehensive development framework for Battery Energy Storage Systems (BESS) integration into electrical power systems to enhance renewable energy penetration across four critical dimensions: environmental impact via Life Cycle Assessment (LCA), BESS optimal sizing methodologies, market features, and policy frameworks.</div><div>Key findings reveal that Lithium Iron Phosphate (LFP) batteries exhibit superior environmental performance across multiple impact categories, with manufacturing contributing 60–80 % of global warming potential for Li-ion chemistries. Multi-objective optimization either using numerical (e.g., MILP, SOCP) or AI-based (e.g., GA, PSO) methods dominate sizing research, yet fewer than 15 % of studies integrate environmental objectives. Effective deployment hinges on financial incentives (e.g., investment tax credits, performance-based rewards), streamlined regulations enabling market participation, and R&amp;D focused on sustainable materials and recycling. Critical gaps persist, including the need for standardized LCI databases for stationary applications, sizing frameworks combining techno-economic and environmental objectives validated on real distribution networks, and policies dynamically linking incentives to lifecycle sustainability. This work bridges previously disconnected research streams to guide sustainable BESS grid integration.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100106"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026985","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":"Advanced regenerative braking system for EVs: Leveraging BLDC‑supercapacitor technologies for optimized energy recovery, economic viability, and maintenance strategies","authors":"Nasif Hannan ,&nbsp;Sowrov Komar Shib ,&nbsp;Abu Shufian ,&nbsp;Md Ashikul Islam ,&nbsp;SM Mobasshir Islam Sharan ,&nbsp;Anik Das Gupta","doi":"10.1016/j.fub.2025.100103","DOIUrl":"10.1016/j.fub.2025.100103","url":null,"abstract":"<div><div>Electric vehicles (EVs) offer a pathway to a cleaner and quieter future; however, a considerable portion of their braking energy is still dissipated as heat rather than being recuperated. To address this inefficiency, the present study proposes an advanced regenerative braking architecture that integrates high-power supercapacitors with precision-controlled Brushless DC (BLDC) motors. Employing adaptive control algorithms, the system captures up to 92.5 % of kinetic energy during deceleration, directing it first to supercapacitors for rapid storage, then gradually to the primary battery. This dual-stage energy strategy reduces thermal losses, extends battery lifespan, and ensures fast, reliable braking response. The adaptability of the proposed system is validated under various real-world conditions, including urban traffic, highway speeds, and steep inclines. Statistical validation through confidence intervals and error bars reinforces the reliability of the results. A cost-benefit analysis confirms commercial feasibility, highlighting savings in energy consumption, brake wear, and battery replacement within standard service intervals. Additionally, robust safety and maintenance strategies are outlined to ensure operational safety and long-term reliability. By converting wasted kinetic energy into a practical resource, this work lays the foundation for smarter, safer, and more sustainable electric mobility, accelerating the shift toward a truly carbon-neutral transportation future.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144921763","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":"Role,application and challenges of IoT in smart EV charging management:a review","authors":"Tripti Kunj,&nbsp;Kirti Pal","doi":"10.1016/j.fub.2025.100102","DOIUrl":"10.1016/j.fub.2025.100102","url":null,"abstract":"<div><div>The rapid expansion of Electric Vehicles (EVs) has initiated significant advancements in charging infrastructure to support sustainable transportation. This paper reviews the role and integration of the Internet of Things (IoT) in Smart EV Charging Management, highlighting how IoT technology enhances operational efficiency, energy management, and user experience. Drawing on real-world implementations such as Tesla’s predictive maintenance systems, Enel X’s JuiceNet for smart charging, and Nissan Leaf’s Vehicle-to-Grid (V2G) capabilities, the paper discusses IoT applications in areas including real-time monitoring, energy optimization, predictive maintenance, and user-centric services. These integrations demonstrate measurable benefits such as improved battery health monitoring, reduced charging downtime, and enhanced grid interaction. Furthermore, the synergy between IoT and renewable energy sources, such as solar power, is explored as a pathway to further optimize charging efficiency and minimize environmental impact. Despite the benefits, challenges such as cybersecurity risks, interoperability barriers, and the lack of communication protocol standardization are also identified. Additionally, the paper emphasizes the importance of adaptive algorithms and machine learning models for predictive maintenance and efficient resource allocation. This review serves as a key reference for policymakers, researchers, and industry leaders aiming to develop resilient and intelligent EV charging ecosystems, contributing to a more connected and sustainable electric mobility future<strong>.</strong></div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888892","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":"Sustainable repurposing of EV batteries: A methodology for certification in the EU","authors":"João P. Manaia ,&nbsp;Guilherme Pedreiro ,&nbsp;João Paulo Dias ,&nbsp;Jaime Santos ,&nbsp;Andreia Alves ,&nbsp;André Pardal","doi":"10.1016/j.fub.2025.100101","DOIUrl":"10.1016/j.fub.2025.100101","url":null,"abstract":"<div><div>The transition to electric mobility is essential for sustainable development, driving a sharp rise in battery use for electric vehicles (EVs). Once these batteries have reached the end of their first vehicle life cycle (1st EOL), they are no longer suitable for vehicle traction, but can be repurposed for less demanding applications before being recycled. This approach prolongs battery lifespan while yielding measurable environmental and economic benefits. However, the widespread repurposing of these batteries is limited by a lack of standardised certification procedures. This study proposes a certification methodology for second-life lithium-ion batteries, based on Regulation (EU) 2023/1542 and the UL 1974 standard. The methodology comprises eight key steps to ensure safety, performance, and regulatory compliance for CE marking in the EU. A key step in the methodology is performance testing, which includes BMS functionality checks, open-circuit voltage, insulation resistance, capacity (via charge/discharge cycles), internal resistance, and self-discharge tests. These tests assess the battery’s state of health (SoH) and state of charge (SoC), enabling sorting and repurposing. A case study of a BMW plug-in hybrid battery module shows testing costs of 57.3–57.4 €/kWh, indicating economic feasibility. This work supports the safe and sustainable integration of repurposed EV batteries into new energy applications.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100101"},"PeriodicalIF":0.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144865281","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":"Multi-heteroatom self-doped carbon nanofibers derived from the leaves of Artocarpus Camansi for high-performance supercapacitors","authors":"Rakhmawati Farma ,&nbsp;Amalia Syarah ,&nbsp;Irma Apriyani ,&nbsp;Luqyana Adha Azwat ,&nbsp;Nidya Chitraningrum ,&nbsp;Ari Sulistyorini ,&nbsp;Iwantono Iwantono ,&nbsp;Amir awaluddin ,&nbsp;Azriyenni Azhari Zakri ,&nbsp;Sudaryanto Sudaryanto","doi":"10.1016/j.fub.2025.100100","DOIUrl":"10.1016/j.fub.2025.100100","url":null,"abstract":"<div><div>The preference for using biomass capable of producing multi-heteroatom self-doping on carbon nanofiber surfaces continues to be comprehensively explored due to its potential to improve the electrochemical performance of supercapacitors. In this study, we designed a carbon electrode based on kluwih (<em>Artocarpus camansi</em>) leaves that are naturally doped with multi-heteroatom (O-S-P) and formed a nanofiber network through a dual activation and direct pyrolysis strategy. The initial activation step used a combination of KOH and melamine to trigger nanofiber formation, while heteroatoms were derived intrinsically from the biomass. The second activation was carried out at 800°C after carbon purification at 600°C, resulting in KL-05 material with tri-heteroatom-doped carbon nanofibers evenly distributed on the carbon matrix. In a two-electrode symmetrical cell configuration with H₂SO₄ electrolyte, KL-05 achieved a specific capacitance of 408 F/g and a power density of 483 W/kg. This research introduces a new approach to produce naturally doped carbon nanofibers from local biomass, which opens up opportunities for the development of sustainable electrode materials for energy storage applications in green supercapacitors.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100100"},"PeriodicalIF":0.0,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144861244","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":"A standardized comparative framework for machine learning techniques in lithium-ion battery state of health estimation","authors":"Ravi Pandit,&nbsp;Nikhil Ahlawat","doi":"10.1016/j.fub.2025.100099","DOIUrl":"10.1016/j.fub.2025.100099","url":null,"abstract":"<div><div>The accurate estimation of lithium-ion battery State of Health (SOH) is essential for enhancing performance, safety, and lifecycle management in modern energy systems. While numerous individual studies have explored machine learning approaches for SOH prediction, a systematic comparative analysis using consistent experimental protocols and rigorous cross-validation remains limited. This study addresses this gap by presenting the first comprehensive comparison of three advanced machine learning models—Extreme Gradient Boosting (XGBoost), Random Forest, and Support Vector Machine (SVM)—using a standardized experimental framework with NASA battery datasets. Our novel contribution lies in implementing a unified training-testing protocol using battery #5 for training and batteries #6, #7, and #18 for validation, combined with systematic hyperparameter optimization through grid search and k-fold cross-validation. Key improvements include: (1) first standardized one-to-many validation protocol ensuring cross-battery generalization assessment that eliminates the data splitting limitations of previous comparative studies, (2) unified hyperparameter optimization methodology applied identically across all algorithms, eliminating the confounding effects of inconsistent parameter tuning that have biased previous comparisons, and (3) establishment of quantitative performance benchmarks providing evidence-based model selection criteria for practical Battery Management System (BMS) applications. The XGBoost model achieved superior performance with MAE of 0.016 and MSE of 0.000347, establishing empirical benchmarks for model selection in battery health diagnostics through our systematic comparative methodology. This work provides the first standardized comparative framework for SOH estimation, offering evidence-based guidance for BMS implementations and advancing the field toward more rigorous and replicable research practices in battery prognostics.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100099"},"PeriodicalIF":0.0,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144779546","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":"Research on the performance of high energy density lithium-ion batteries based on dry-processed electrodes","authors":"Haoran Li ,&nbsp;Hongquan Gao ,&nbsp;Quan Liao ,&nbsp;Zhifei Song ,&nbsp;Haitao Zhou ,&nbsp;Jianchun Wu ,&nbsp;Hesong Jiang","doi":"10.1016/j.fub.2025.100098","DOIUrl":"10.1016/j.fub.2025.100098","url":null,"abstract":"<div><div>A LiNi_0.8Co_0.1Mn_0.1O₂/graphite electrode system with an energy density of up to 327.7 Wh/kg is rationally designed. The cathode is prepared by a dry process, while the anode with a uniform carbon nanotube dispersion structure is prepared by a semi-dry process. The study first analyzes the effect of electrode load on the performance, and then investigates the influence of the type and content of conductive agent on the reduction decomposition reaction in the dry anode. The electrochemical tests show that the dry-processed full cells show a significant improvement in energy density, rate performance and cycling stability，and the capacity retention rate of the dry-processed full cells is as high as 90 % after 400 cycles. Scanning electron microscopy is used to reveal the unique structure of the dry-processed electrodes, and tensile, folding and electrochemical tests are performed on the dry-processed electrodes at different loads to select the optimum electrode loads. In addition, a systematic electrochemical evaluation of the dry-processed anode containing different conductive agents is carried out to reveal the effect of the conductive agents. Finally, the electrode interface conditions after full cell cycling are analyzed by X-ray photoelectron spectroscopy to elucidate the differences between dry-processed electrodes and slurry-based process electrodes.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100098"},"PeriodicalIF":0.0,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770783","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":"Bi-linear capacity decay and internal resistance increase of lithium iron phosphate cell in electric -rickshaw application","authors":"Dhanus Kumar Bharathamani,&nbsp;Mohankumar Nagarajan,&nbsp;Ravi Subban,&nbsp;Nanjan Sugumaran","doi":"10.1016/j.fub.2025.100097","DOIUrl":"10.1016/j.fub.2025.100097","url":null,"abstract":"<div><div>Several possible battery degradation modes for various batteśry chemistries were available in the literature. Eventhough standardized protocols can quantify capacity fade in controlled environments, the outcomes are not useful to provide sufficient knowledge of the degradation mechanism in commercial batteries for practical applications and the results are less informative to make any correlation to the degree of fading with underlying mechanism. Lithium Ferrous Phosphate (LFP) cell is entering into e-rickshaw segment due to low life of lead-acid battery. The e-rickshaw driving profile is unique due to its frequent start and stop operations. In the present work LFP cell is subjected to a newly developed life cycle test protocol which mimics the driving profile of e-rickshaw in real life condition. Cylindrical 3.2 V/ 6Ah batteries are discharged to various Depth of Discharge (DOD) in e-rickshaw driving profile. The results showed that the batteries could deliver 750–800 units Ah turnover which is independent of DOD. The capacity decay and resistance increase are bi-linear. In the first phase the capacity decay is due to growth of Solid Electrolyte Interphase (SEI) which consumes active lithium and in the second phase decay is due to isolation of active material in negative electrode. The implication of actual field conditions like a) higher ambient temperature in hot climate b) more than 75 % idle time and c) higher DOD on the battery is discussed with respect to life.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100097"},"PeriodicalIF":0.0,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750624","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":"Challenges, advances, and perspectives of battery thermal management cooling techniques in EVs","authors":"Mohammad Waseem ,&nbsp;T. Ramamohan Rao ,&nbsp;Kotha Shashidhar Reddy","doi":"10.1016/j.fub.2025.100096","DOIUrl":"10.1016/j.fub.2025.100096","url":null,"abstract":"<div><div>Effective thermal management cooling systems (TMCS) are essential for ensuring the safety, reliability, and performance of lithium-ion batteries (LIBs) in electric vehicles (EVs), particularly in preventing thermal runaway and related failures. However, existing studies often lack a systematic comparison of advanced cooling methods, hybrid approaches, and intelligent control strategies for real-time applications. Addressing this gap, the present study offers a comprehensive, focused review of TMCS for LIBs, analyzing over 334 publications. Unlike previous works, this study critically compares conventional and hybrid cooling techniques including PCM, heat pipes, thermoelectric modules, air, liquid, fins, and nanomaterials while highlighting the emerging role of AI, machine learning, and IoT in real-time temperature monitoring and adaptive control. The paper's novelty lies in its integrated, application-oriented perspective and its emphasis on future research needs for enhancing TMCS reliability in EVs. The main findings underscore the potential of hybrid systems and AI-based solutions to improve LIB safety and performance, offering practical guidance for advancing TMCS design.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100096"},"PeriodicalIF":0.0,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713412","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":"Towards anode-less lithium metal negative electrodes for secondary aprotic batteries","authors":"Antonio Santagata ,&nbsp;Maria Lucia Pace ,&nbsp;Daniele Maria Trucchi ,&nbsp;Mariangela Curcio ,&nbsp;Angela De Bonis ,&nbsp;Roberto Teghil ,&nbsp;Nicholas Carboni ,&nbsp;Andrea Gentile ,&nbsp;Arianna Sette ,&nbsp;Luca Mesina ,&nbsp;Andrea Ceppetelli ,&nbsp;Laura Silvestri ,&nbsp;Paola Gislon ,&nbsp;Giuseppe Antonio Elia ,&nbsp;Marisa Falco ,&nbsp;Gabriele Lingua ,&nbsp;Claudio Gerbaldi ,&nbsp;Maria Assunta Navarra ,&nbsp;Marco Agostini ,&nbsp;Sergio Brutti","doi":"10.1016/j.fub.2025.100095","DOIUrl":"10.1016/j.fub.2025.100095","url":null,"abstract":"<div><div>This study presents the synergistic application of optimized laser-induced periodic surface structure (LIPSS) patterning conducted under ambient conditions and the deposition of an artificial solid-state electrolyte (aSEI) for the fabrication of a novel lithium-less lithium metal electrode (L³ME) utilizing stainless steel (SS). The composite anode-less substrate demonstrates the capability to facilitate the reversible plating and stripping of metallic lithium over several hundred cycles in aprotic battery systems. The LIPSS technique generates a patterned surface characterized by micrometer-long ripples with a lateral periodicity ranging from 150 to 250 nm, whereas the deposition of the aSEI results in a uniform and smooth surface morphology achieved through the homogeneous dispersion of a polymeric-inorganic composite film. This research unveils, for the first time in the literature, the synergistic combination of laser patterning and aSEI pre-deposition, thereby advancing current methodologies for anode-less electrode fabrication. An extensive analysis was conducted on varying LIPSS patterning conditions and aSEI compositions to assess their implications on electrochemical performance. The constructed L³ME comprises a stainless steel thin foil featuring a mesostructured surface marked by a regular distribution of iron (Fe) and iron oxide (Fe₂O₃) ripples. This structured surface is seamlessly integrated beneath a uniform polyethylene oxide and lithium nitrate composite film, allowing for the manufacture, handling, and storage of L³ME substrates in dry air, eliminating the necessity for inert atmosphere conditions. The optimized L³ME electrodes exhibit remarkable performance in aprotic lithium cells, facilitating fully reversible metallic lithium stripping and deposition, with exceptionally high coulombic efficiencies nearing 100 % over numerous cycles across various galvanostatic conditions that adhere to commercial standards (current densities of 0.25–1.25 mA cm⁻² and areal capacity limits from 0.5 to 5 mAh cm⁻²). Comparative benchmarking of L³ME performance against bare copper electrodes and other anode-less substrates highlights the distinctive efficacy of the combined LIPSS and aSEI technique in enhancing the reversibility of lithium plating and stripping through a selective inhibition of electrochemical lithium dissolution.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"7 ","pages":"Article 100095"},"PeriodicalIF":0.0,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680052","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}