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Enhancing lithium-ion battery safety: A comparative study of separator performance under mechanical abuse 提高锂离子电池的安全性:机械滥用下隔膜性能的比较研究
Future Batteries Pub Date : 2025-03-31 DOI: 10.1016/j.fub.2025.100064
Alexander Hahn , Magdalena Ruf , Stefan Doose , Arno Kwade
{"title":"Enhancing lithium-ion battery safety: A comparative study of separator performance under mechanical abuse","authors":"Alexander Hahn ,&nbsp;Magdalena Ruf ,&nbsp;Stefan Doose ,&nbsp;Arno Kwade","doi":"10.1016/j.fub.2025.100064","DOIUrl":"10.1016/j.fub.2025.100064","url":null,"abstract":"<div><div>Batteries serve as the primary energy storage solution for a wide range of applications. However, the high energy density of these batteries presents significant safety challenges. The separator in a battery cell plays a crucial role since damage to the separator will cause an internal short circuit and can trigger a thermal runaway. To evaluate the differences in the response of a separator to mechanical stress five distinct polyolefin and nonwoven separators were tested in two separator material level tests. Battery cells were then fabricated with these separators and tested for mechanical stability and thermal runaway behavior during crush tests with a hemispherical punch. The results disclose that internal short circuits occur in the dry processed polyolefin-based separators at low mechanical loads. The incorporation of ceramic particles within the nonwovens and the elevated thermal stability impart a heightened short-circuit load capacity of 17 % and a notable delay in the onset of thermal runaway. The most promising outcome is observed in the wet-processed PE separator with a ceramic coating, exhibiting a 33 % increase in load and a 25 % increase in deformation compared to the polyolefin separators. In addition, CO concentrations doubled between nonwoven and pure polyolefin based separators.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100064"},"PeriodicalIF":0.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777623","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}
引用次数: 0
Comparative study of vibrational behaviour of lithium-ion batteries under different axis orientations 不同轴向下锂离子电池振动行为的比较研究
Future Batteries Pub Date : 2025-03-26 DOI: 10.1016/j.fub.2025.100062
Umar Shafique Awan , Kazem Ghabraie , Ali Zolfagharian , Mojtaba Eftekharnia , Bernard Rolfe
{"title":"Comparative study of vibrational behaviour of lithium-ion batteries under different axis orientations","authors":"Umar Shafique Awan ,&nbsp;Kazem Ghabraie ,&nbsp;Ali Zolfagharian ,&nbsp;Mojtaba Eftekharnia ,&nbsp;Bernard Rolfe","doi":"10.1016/j.fub.2025.100062","DOIUrl":"10.1016/j.fub.2025.100062","url":null,"abstract":"<div><div>The impact of placement orientation on vibration-induced electrochemical degradation of three different lithium-ion battery geometries, namely, pouch, prismatic, and cylindrical, are investigated in this research. The batteries are subjected to 24-hour continuous vibration in each test based on a modified IEC62660–2 vibration standard. Electrochemical impedance spectroscopy (EIS), capacity fade analysis, and average discharge voltage (DV<sub>avg</sub>) analysis are performed to evaluate the impact of vibration on the electrochemical performance of batteries. The experiments are conducted in both single-axis orientation and 3-in-1 multi-axis combined orientation using custom-designed fixtures. The results show that the rate of vibration-induced degradation in batteries varies significantly with their placement orientation. Similar trends are observed from both single and multi-axis test settings. Cylindrical batteries show a more significant capacity reduction with a maximum of 9.52 % when vibrating along their radial axes than their longitudinal axis. On the other hand, prismatic and pouch batteries show more substantial degradation that is just below 1 % when subjected to vibration along their length (long axis) compared to their width or thickness. These findings emphasize the need to consider battery placement orientation while selecting and packaging lithium-ion batteries for electric vehicles (EVs), specifically for structural battery applications.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100062"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735080","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}
引用次数: 0
Sustainable manufacturing practices for EV battery packs: Lowering the environmental impacts and increasing recyclability 电动汽车电池组的可持续生产实践:降低环境影响,提高可回收性
Future Batteries Pub Date : 2025-03-25 DOI: 10.1016/j.fub.2025.100061
Mr. Vigneshwaran Gowrishankar
{"title":"Sustainable manufacturing practices for EV battery packs: Lowering the environmental impacts and increasing recyclability","authors":"Mr. Vigneshwaran Gowrishankar","doi":"10.1016/j.fub.2025.100061","DOIUrl":"10.1016/j.fub.2025.100061","url":null,"abstract":"<div><div>Rapid adoption of electric cars has enhanced that for clean batteries to reduce environmental impact and increase recyclability. Present-day approaches to creating EV battery packs are performed often with the help of restricted and hazardous materials and energy-demanding methods, having a rather limited amount of recycling possibilities, therefore leaving a rather considerable impact on the environment. These drawbacks also point to the need to use more creative means towards the reduction of energy consumption or to useful wastage and greenhouse gas emissions. This paper also prescribes a full life cycle model of suing sustainable practices while obtaining, manufacturing, using and recycling EV battery packs with advanced secondary life packages. The succinct technique comprises three approaches: Life Cycle Assessment (LCA) model for the evaluation of the environmental burden, fee-advantage evaluation to perform the initial cost assessment, and optimization models to define the optimal rates of sustainable practice. Using an equal-method methodology, the literature overview, case examine, and professional interviews are used to gather the information while the information pre-processing, the improvement and validation of the mathematical model are accomplished the usage of actual-world eventualities. The results signify significant changes towards achieving lower energy usage, material toxicity and carbon elements as enhancement of recyclability features and economical returns. Policies, producers and interested parties should engage in these practices as the study suggests what needs to be done toward enhancing the sustainability of the EV battery business. The paper adds to the sector by providing a fresh and organised perspective, which does not have the confined view of prior approaches and has quantifiable solutions for efficient EV battery production.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100061"},"PeriodicalIF":0.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746356","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}
引用次数: 0
Data-driven model enhancement of late-life lithium-ion batteries 高龄锂离子电池的数据驱动模型增强
Future Batteries Pub Date : 2025-03-25 DOI: 10.1016/j.fub.2025.100060
Martín Cornejo, Sammy Jablonski, Marco Fischer, Julius Bahrke, Andreas Jossen
{"title":"Data-driven model enhancement of late-life lithium-ion batteries","authors":"Martín Cornejo,&nbsp;Sammy Jablonski,&nbsp;Marco Fischer,&nbsp;Julius Bahrke,&nbsp;Andreas Jossen","doi":"10.1016/j.fub.2025.100060","DOIUrl":"10.1016/j.fub.2025.100060","url":null,"abstract":"<div><div>Battery models require parameter adaptation to account for degradation during their lifetime. Current parameter estimation methods need an accurate pre-defined OCV curve, which can be expensive and time-consuming to obtain if not available. Furthermore, the shape of the OCV curve changes as the battery degrades, making measurements at the beginning-of-life insufficient at later stages of the battery lifetime. This work introduces a data-driven approach to build a lithium-ion cell model using only operational data. It enhances an equivalent circuit model with Gaussian process regression to fit the OCV curve and the non-linear SOC dependency in the cell’s internal resistance. To put it to the test, it is compared to a state-of-the-art method in a model fitting benchmark, using a dataset of cells with SOH ranging between 100% and 70%. While the conventional method loses accuracy with cell degradation, the proposed method accurately reconstructs the OCV curve, estimates the cell impedance and achieves a high accuracy over the whole lifetime.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100060"},"PeriodicalIF":0.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761066","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}
引用次数: 0
Integration of topological data analysis and entropy features for the prediction of lithium-ion battery state-of-health 整合拓扑数据分析和熵特征,预测锂离子电池的健康状况
Future Batteries Pub Date : 2025-03-21 DOI: 10.1016/j.fub.2025.100059
Manoj K. Singh , Anuj Kumar , Sangeeta Pant , Shshank Chaube , Kriti Misra , Jitendra Pal Singh , Ketan Kotecha
{"title":"Integration of topological data analysis and entropy features for the prediction of lithium-ion battery state-of-health","authors":"Manoj K. Singh ,&nbsp;Anuj Kumar ,&nbsp;Sangeeta Pant ,&nbsp;Shshank Chaube ,&nbsp;Kriti Misra ,&nbsp;Jitendra Pal Singh ,&nbsp;Ketan Kotecha","doi":"10.1016/j.fub.2025.100059","DOIUrl":"10.1016/j.fub.2025.100059","url":null,"abstract":"<div><div>Lithium-ion batteries are now widely used in many devices due to their high performance. However, their use in electric vehicles poses challenges such as limited driving range and variable cycle life. A data-driven approach can be useful to better understand the aging mechanisms of batteries. Predicting a battery’s State-of-Health (SoH) accurately is crucial to improve battery technology/life. A machine learning algorithm, combined with features extracted from voltage/temperature during a charging cycle, can be used to predict the SoH of a battery. Creating new feature vector by integrating known features which can help machine learning (ML) algorithms in solving a particular problem will be a novel work. A Topological Data Analysis (TDA) technique and entropy features are utilized to create a feature vector that can predict the SoH of a battery through a machine-learning model called long short term memory neural networks. The TDA features represent the functions of one- and two-dimensional holes in the data which appear/disappear as a tolerance value is increased. The entropy features represent the amount of information present in the dataset. There are multiple ways to define entropy of a time series data. In this article, we carefully selected entropies suitable for the battery datasets. Oxford battery degradation dataset, which is publicly available, was used to apply a Long Short-Term Memory (LSTM) model. The average Mean Absolute Error (MAE) of the model with topological data analysis features is 0.02045 (2.56 %), while the average MAE of the model with entropy features is 0.02241 (2.77 %). However, the average MAE of the model with integrated entropy-TDA features is only 0.02025 (2.54 %). The low MAEs in the models suggest that the feature set created by integrating topological-entropy features will be helpful in predicting the SoH of a Lithium-ion battery.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100059"},"PeriodicalIF":0.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143703929","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}
引用次数: 0
Performance assessment of all-solid-state lithium-ion cells with a novel solid polymer electrolyte: A multiscale modeling approach 基于新型固体聚合物电解质的全固态锂离子电池性能评估:多尺度建模方法
Future Batteries Pub Date : 2025-03-21 DOI: 10.1016/j.fub.2025.100053
Matteo Alberghini , Giulia Blanco , Ashutosh Agrawal , Pasquale Romano , Mattia Giuliano , Franklin Seute , Daniele Di Lecce , Ishamol Shaji , Giovanna Nicol , Alix Ladam , Sebastien Fantini , Mohammadhosein Safari , Philippe M. Vereecken , Alessio Tommasi
{"title":"Performance assessment of all-solid-state lithium-ion cells with a novel solid polymer electrolyte: A multiscale modeling approach","authors":"Matteo Alberghini ,&nbsp;Giulia Blanco ,&nbsp;Ashutosh Agrawal ,&nbsp;Pasquale Romano ,&nbsp;Mattia Giuliano ,&nbsp;Franklin Seute ,&nbsp;Daniele Di Lecce ,&nbsp;Ishamol Shaji ,&nbsp;Giovanna Nicol ,&nbsp;Alix Ladam ,&nbsp;Sebastien Fantini ,&nbsp;Mohammadhosein Safari ,&nbsp;Philippe M. Vereecken ,&nbsp;Alessio Tommasi","doi":"10.1016/j.fub.2025.100053","DOIUrl":"10.1016/j.fub.2025.100053","url":null,"abstract":"<div><div>Solid electrolytes are critical components in all-solid-state batteries. However, achieving high transport properties, compatibility with electrode materials, low cost, sustainability, and manufacturing compatibility remains a challenge. This work investigates the performance of a novel solid polymer electrolyte through an integrated approach combining experiments and numerical modeling. The electrolyte was tested for mechanical, electrochemical, and transport properties at different pressures, demonstrating good elasticity, high ionic conductivity, and adequate lithium diffusivity. Coin cells containing NMC622 and metallic Li were also fabricated and tested to evaluate its potential use with standard materials. To further investigate the cell behavior, a 3D-resolved model of the composite cathode was developed using a stochastic approach. The modeled microstructures were characterized in terms of connectivity, electrical conductivity, ionic tortuosity, and Young’s modulus. A coupled electrochemical–mechanical model was then used to predict the cell performance operating with currents from C/20 to 1C. Compared to experimental voltammetry tests, the model showed good alignment. Furthermore, the parameters for an equivalent circuit model were derived from the microscale model and validated against dedicated experimental results, confirming its accuracy. The proposed multiscale modeling framework proved to bridge the gap between detailed microscale simulations and practical cell design, providing valuable insights into the optimization of solid-state cell architectures.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714611","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}
引用次数: 0
Comparative Electrical Characterization of Commercial Sodium-Ion and Lithium-Ion Cells Using Enhanced Ragone Plot Analysis 商用钠离子电池和锂离子电池电学特性的比较研究
Future Batteries Pub Date : 2025-03-19 DOI: 10.1016/j.fub.2025.100056
Pablo Rodríguez-Iturriaga , Sai Thatipamula , Simona Onori
{"title":"Comparative Electrical Characterization of Commercial Sodium-Ion and Lithium-Ion Cells Using Enhanced Ragone Plot Analysis","authors":"Pablo Rodríguez-Iturriaga ,&nbsp;Sai Thatipamula ,&nbsp;Simona Onori","doi":"10.1016/j.fub.2025.100056","DOIUrl":"10.1016/j.fub.2025.100056","url":null,"abstract":"<div><div>Commercial sodium-ion battery (SIB) cells with layered oxide cathodes have recently been introduced to the market. An evaluation of their performance and comparison to existing lithium-ion battery (LIB) technologies at different temperatures and C-rates will provide valuable insights into quantifying their capabilities and identifying potential end-use applications. In this article, we present the electrical characterization of SIB cells with NMF/HC (nickel-manganese-iron/hard carbon) chemistry at different ambient temperatures and C-rates, followed by a critical comparison with existing LIB technologies with the aid of the Enhanced Ragone plot and key metrics, such as discharge capacity, maximum temperature increase, relative discharge time, and discharge efficiency. Thermodynamic characterization results reveal voltage hysteresis in the low state-of-charge region. The electrical and thermal behaviors of galvanostatic discharges across different C-rates and temperatures are also analyzed and linked to the trends in internal resistance. When compared to LIBs, the investigated SIBs show similar power delivery to LFP cells and possess interesting thermal properties: the ability to limit self-heating, and reduce the dependency of electrical behavior on ambient temperature. The tested SIBs may show potential as a promising candidate for operation at temperatures below 10 °C, or in environments with a broad range of operating temperatures without the need for extensive thermal management. Finally, the data supporting the findings of this study are publicly available.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100056"},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143703930","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}
引用次数: 0
Mechanistic insight into defective molybdenum carbide as cathode catalyst in Li-CO2 battery 缺陷碳化钼作为锂-二氧化碳电池阴极催化剂的机理研究
Future Batteries Pub Date : 2025-03-15 DOI: 10.1016/j.fub.2025.100058
Tingting Zhao , Lixiang Yan , Xueying Qiu , Liubin Song , Yanmei Nie , Yiyu Xiong , Ao Li , Yukang Su , Likai Yan
{"title":"Mechanistic insight into defective molybdenum carbide as cathode catalyst in Li-CO2 battery","authors":"Tingting Zhao ,&nbsp;Lixiang Yan ,&nbsp;Xueying Qiu ,&nbsp;Liubin Song ,&nbsp;Yanmei Nie ,&nbsp;Yiyu Xiong ,&nbsp;Ao Li ,&nbsp;Yukang Su ,&nbsp;Likai Yan","doi":"10.1016/j.fub.2025.100058","DOIUrl":"10.1016/j.fub.2025.100058","url":null,"abstract":"<div><div>Li-CO<sub>2</sub> batteries have significant advantages, including high theoretical capacity and environmental friendliness, making them promising next-generation energy storage device with substantial capacity. However, the lack of efficient cathode catalysts hampers the rate of CO<sub>2</sub> reduction/evolution reactions (CRR/CER), significantly impeding its progress. Herein, by means of density functional theory (DFT) calculations, the potential mechanism of defective molybdenum carbide (V<sub>C</sub>-Mo<sub>2</sub>C) as cathode catalysts in Li-CO<sub>2</sub> batteries was systematically investigated. The results reveal that V<sub>C</sub>-Mo<sub>2</sub>C effectively suppresses the formation of Li<sub>2</sub>CO<sub>3</sub>, thereby promoting the preferential generation of Li<sub>2</sub>C<sub>2</sub>O<sub>4</sub> products in the overall reaction. This study aims to offer insight into the development of cathode catalysts for Li-CO<sub>2</sub> batteries.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100058"},"PeriodicalIF":0.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681375","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}
引用次数: 0
Exploring the potential of flexible thin film solid-state batteries for electric vehicle 探索柔性薄膜固态电池在电动汽车上的潜力
Future Batteries Pub Date : 2025-03-13 DOI: 10.1016/j.fub.2025.100057
Nishtha Kansal , Gireesh Tripathi
{"title":"Exploring the potential of flexible thin film solid-state batteries for electric vehicle","authors":"Nishtha Kansal ,&nbsp;Gireesh Tripathi","doi":"10.1016/j.fub.2025.100057","DOIUrl":"10.1016/j.fub.2025.100057","url":null,"abstract":"<div><div>This paper critically analyzes the advancements and future potential of battery technologies in electric vehicles (EVs), with a specific focus on their evolving landscape. Currently, lithium-ion (Li-ion) batteries are the primary energy storage solution for EVs, owing to their superior energy density, high power density, extended operational lifespan, and relatively eco-friendly characteristics. Beyond their applications in EVs, Li-ion batteries have also become integral to a wide range of consumer electronics. Despite their widespread use, these batteries face significant limitations, including high production costs, challenges in uniformity and flexibility, safety concerns, and limited durability. To address these issues, this study investigates the potential of integrating solid-state flexible batteries into EV systems. These next-generation batteries offer distinct advantages over conventional Li-ion counterparts, such as enhanced compactness, improved thermal and chemical stability, greater efficiency, prolonged durability, higher reliability, and non-flammability. Furthermore, this innovative technology underpins the development of flexible electronics, presenting a transformative pathway for the future of energy storage in EVs and related applications.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100057"},"PeriodicalIF":0.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644812","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}
引用次数: 0
Diffusion kinetics of “layered” Na-TMO2: Regulation of Na+ layer stability by dual ion doping in hybrid electrolyte “层状”Na- tmo2的扩散动力学:混合电解质中双离子掺杂对Na+层稳定性的调节
Future Batteries Pub Date : 2025-03-12 DOI: 10.1016/j.fub.2025.100055
Nikita Bhardwaj , Karni Dan , Deependra Jhankal , Himmat Singh Kushwaha , Kanupriya Sachdev
{"title":"Diffusion kinetics of “layered” Na-TMO2: Regulation of Na+ layer stability by dual ion doping in hybrid electrolyte","authors":"Nikita Bhardwaj ,&nbsp;Karni Dan ,&nbsp;Deependra Jhankal ,&nbsp;Himmat Singh Kushwaha ,&nbsp;Kanupriya Sachdev","doi":"10.1016/j.fub.2025.100055","DOIUrl":"10.1016/j.fub.2025.100055","url":null,"abstract":"<div><div>Aqueous sodium-ion batteries (ASIBs) are promising for energy storage applications because of their low cost and safe operational properties. Mn-based layered transition metal oxides are favorable positive electrode materials for ASIBs. Still, rapid capacity decay due to the Jahn-Teller effect and Mn dissolution in the aqueous electrolytes during cycling restrict their applicability. To resolve these issues, a dual strategy of using a hybrid electrolyte and doping is used to suppress the hydroxide formation during electrochemical cycling to boost the performance of ASIBs. Cu and Fe dual ion doped Na<sub>0.7</sub>MnO<sub>2</sub> (NFCM) is synthesized via the solid-state method for cathode material. The X-ray diffraction spectra confirm good crystallinity and the presence of the P2 phase in pristine and doped samples with minimal impurity. Scanning electron microscopy shows rod-like structures for pristine Na<sub>0.7</sub>MnO<sub>2</sub> (NMO), while the doped sample comprises both rod-like and sphere-like structures. The full cell configuration of doped NFCM || activated carbon results best with a hybrid 1 M NaClO<sub>4</sub> electrolyte with a discharge capacity of 141 mAh g⁻¹. The binding of OH⁻ ions with ethanol through hydrogen bonding leads to a decrease in Mn dissolution and a stable cycle life of up to 100 cycles.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"6 ","pages":"Article 100055"},"PeriodicalIF":0.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644839","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}
引用次数: 0
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