Future Batteries最新文献

{"title":"Development status, challenges, and perspectives of key components and systems of all-vanadium redox flow batteries","authors":"Hengyuan Hu ,&nbsp;Meisheng Han ,&nbsp;Jie Liu ,&nbsp;Kunxiong Zheng ,&nbsp;Yongbiao Mu ,&nbsp;Zhiyu Zou ,&nbsp;Fenghua Yu ,&nbsp;Wenjia Li ,&nbsp;Tianshou Zhao","doi":"10.1016/j.fub.2024.100008","DOIUrl":"10.1016/j.fub.2024.100008","url":null,"abstract":"<div><div>All-vanadium redox flow batteries (VRFBs) have experienced rapid development and entered the commercialization stage in recent years due to the characteristics of intrinsically safe, ultralong cycling life, and long-duration energy storage. However, VRFBs still face cost challenges, making it necessary to comprehensively optimize the performance and reduce the manufacturing costs of each component. The review first introduces the development history of VRFBs and emphasizes their huge market demand. Second, the bottlenecks existing in key components (electrodes, bipolar plates, membranes, and electrolytes) and battery management systems of VRFBs are summarized, and the corresponding latest improvement examples are proposed. Last, the review points out the future development direction of key components and systems of VRFBs. The review discusses the latest technology routes for reducing the cost and optimizing the performance of VRFBs, which are needed for accelerating applications and penetrations in large-scale and long-duration energy storage.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"4 ","pages":"Article 100008"},"PeriodicalIF":0.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536162","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":"Navigating battery choices: A comparative study of lithium iron phosphate and nickel manganese cobalt battery technologies","authors":"Solomon Evro,&nbsp;Abdurahman Ajumobi,&nbsp;Darrell Mayon,&nbsp;Olusegun Stanley Tomomewo","doi":"10.1016/j.fub.2024.100007","DOIUrl":"10.1016/j.fub.2024.100007","url":null,"abstract":"<div><div>This research offers a comparative study on Lithium Iron Phosphate (LFP) and Nickel Manganese Cobalt (NMC) battery technologies through an extensive methodological approach that focuses on their chemical properties, performance metrics, cost efficiency, safety profiles, environmental footprints as well as innovatively comparing their market dynamics and technical performance to provide strategic recommendations and projections. Based upon an exhaustive examination into electrochemical attributes, thermal behavior, life cycle management aspects along with current trends within markets allow us to create a framework against which these most popular electricity storage alternatives might be assessed. Our results show LFP batteries are safer with life cycles beyond 2000 cycles at approximately 30 % lower costs than other similar battery technologies. They have enhanced heat resistance with the ability to operate effectively up to 60 °C besides having significantly reduced carbon footprints. On the other hand, NMC batteries have high energy densities, reaching 260 Wh/kg making them suitable for portable electronics and electric vehicles with a lot of power requirements although their costs are higher and there are environmental concerns associated with their cobalt and nickel content. The work confirms that LFP batteries are increasingly being adopted in markets due to cost advantages and safety improvements. We recognize the continued importance of NMC batteries in high performance areas due to their superior energy output ratings. LFP is recommended for applications requiring long lifetimes while NMC is ideal when high power is needed. The study indicates the need for better battery technology development towards improved efficiency and safety.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"4 ","pages":"Article 100007"},"PeriodicalIF":0.0,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535576","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":"Diagnosis of lithium-ion batteries degradation with P2D model parameters identification: A case study on low temperature charging","authors":"G. Sordi,&nbsp;M. Sedzik,&nbsp;A. Casalegno,&nbsp;C. Rabissi","doi":"10.1016/j.fub.2024.100006","DOIUrl":"10.1016/j.fub.2024.100006","url":null,"abstract":"<div><div>The estimation of the state of health (SoH) of a lithium-ion battery is still a hot topic in the scientific research. This publication deals with the combined use of optimized tests, also involving impedance spectroscopy, and physical models to investigate lithium-ion batteries degradation. As a case study, this method is firstly applied on a low-temperature charging degradation campaign, in order to expectedly generate a lithium plating-dominated ageing state. Degradation tests, performed under previously selected combinations of operating conditions, are performed down to 75 % SoH on commercial samples, determining severe ageing rate up to 1.5 % capacity loss per equivalent full cycle. The proposed interpretation methodology identifies the ageing to be dominated by the loss of lithium inventory, consistently with the expected degradation mechanism. Large electrolyte consumption is also detected, which induces a strongly anisotropic utilization of the electrodes during discharge, as confirmed by pseudo-two-dimensional (P2D) model simulations. This activity contributes to verify the reliability of the methodology, elucidate the effect of lithium plating on the performance and underline the effect of the operating conditions at low temperature, paving the way to the application on real-world conditions.</div></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"4 ","pages":"Article 100006"},"PeriodicalIF":0.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656506","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":"Degradation of lithium-ion batteries under automotive-like conditions: aging tests, capacity loss and q-OCP interpretation","authors":"G. Sordi,&nbsp;A. Rondi,&nbsp;D. Conti,&nbsp;A. Casalegno,&nbsp;C. Rabissi","doi":"10.1016/j.fub.2024.100005","DOIUrl":"10.1016/j.fub.2024.100005","url":null,"abstract":"<div><p>Battery electric vehicles are spreading worldwide as a relevant solution for the decarbonization of the transportation sector, ensuring high volume and weight-based energy density, high efficiency and low cost. Nevertheless, batteries are known to age in a rather complex and conditions-dependent way. This work aims at investigating battery aging resulting from close-to-real world conditions, highlighting single stressors role. Hence, aiming at representativeness for automotive application, an extensive literature review is performed, identifying a wide set of representative conditions together with their specific variations to be investigated. Realistic driving schedules like WLTP is identified and continuously applied in cycling on commercial samples, investigating the capacity loss from a q-OCP perspective with an equilibrium model. In general, loss of lithium inventory is detected as the main degradation parameter, likely related to SEI growth. Recharge C-rate and load profile appear as poorly-affecting degradation, while a dominant role is associated with operating temperature. Interestingly, temperature and cycling-related degradation appears to be independent and their effects can be effectively superimposed. Loss of active positive electrode material seems particularly affected by cycling depth of discharge, likely having mechanical origin as particle cracking.</p></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"3 ","pages":"Article 100005"},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950264024000054/pdfft?md5=b979c5dc4128ddfc623103eb48d2a45b&pid=1-s2.0-S2950264024000054-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853007","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":"Thermorechargeable battery composed of mixed electrodes","authors":"Yuuga Taniguchi ,&nbsp;Touya Aiba ,&nbsp;Takahiro Kubo ,&nbsp;Yutaka Moritomo","doi":"10.1016/j.fub.2024.100004","DOIUrl":"https://doi.org/10.1016/j.fub.2024.100004","url":null,"abstract":"<div><p>A thermorechargeable battery (TB) can be charged by heating or cooling, and hence, converts thermal energy into electric energy. The manufacture of TB, however, requires adjustment of the cathode and anode potentials by pre-oxidation. Here, we demonstrated that application of mixed electrodes composed of reduced and oxidized compounds makes the adjustment process unnecessary. The TB made of mixed electrodes exhibited excellent thermal cycle stability of the thermal voltage <span><math><msub><mrow><mi>V</mi></mrow><mrow><mi>TB</mi></mrow></msub></math></span> and discharge capacity <span><math><msub><mrow><mi>Q</mi></mrow><mrow><mi>TB</mi></mrow></msub></math></span> between 20 °C and 50 °C.</p></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"3 ","pages":"Article 100004"},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950264024000042/pdfft?md5=a82bb2f713e14a38df28b50e02119761&pid=1-s2.0-S2950264024000042-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141605993","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":"Complex polycation redox material interfaced with renewable porous carbon for asymmetric supercapacitors","authors":"Khang Huynh ,&nbsp;Vinod Amar ,&nbsp;Bharath Maddipudi ,&nbsp;Rajesh Shende","doi":"10.1016/j.fub.2024.100002","DOIUrl":"https://doi.org/10.1016/j.fub.2024.100002","url":null,"abstract":"<div><p>Mixed polycation transition metal ferrites are known to exhibit unique and superior characteristics for structural, electrical, magnetic, and optical applications. Although a few binary transition metal ferrites are found to be suitable for electrochemical energy storage application, ternary transition metal ferrites are not investigated for asymmetric supercapacitors (ASCs). Mixed polycation oxides are expected to have increased active sites that can facilitate proton and electron transfer impacting the redox reactions. Specific crystal structure and associated lattice parameters as well as surface and morphological characteristics can also influence the energy storage properties. This study for the first time reports a novel complex polycation redox material, (Cu_pMn_qZn_r)_xFe_yO_z and renewable pinewood (PW) derived porous carbon (POC) as electrodes for ASC. Both (Cu_pMn_qZn_r)_xFe_yO_z and PW-POC are subjected to electrochemical characterization and used in ASC configuration with aqueous KOH electrolyte. It is anticipated that the Faradaic characteristics of (Cu_pMn_qZn_r)_xFe_yO_z will make it to serve as a cathode while PW-POC with capacitive behavior will act as anode in ASCs. Relatively higher specific capacitance of &gt; 200 F/g is observed for the (Cu_pMn_qZn_r)_xFe_yO_z reference electrode and fabricated ASCs. Capacitance retention rate is tested in 10,000 cycles for the working electrodes whereas for ASC, the stability tests are performed over 100 charging-discharging cycles exhibiting relatively higher capacitance retention. (Cu_pMn_qZn_r)_xFe_yO_z appears to be a promising material for a supercapacitor.</p></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"2 ","pages":"Article 100002"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950264024000029/pdfft?md5=ba211f007a84b22777cae39ab7a29952&pid=1-s2.0-S2950264024000029-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141485258","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":"Enhancing prediction accuracy of Remaining Useful Life in lithium-ion batteries: A deep learning approach with Bat optimizer","authors":"Shahid A. Hasib ,&nbsp;S. Islam ,&nbsp;Md F. Ali ,&nbsp;Subrata. K. Sarker ,&nbsp;Li Li ,&nbsp;Md Mehedi Hasan ,&nbsp;Dip K. Saha","doi":"10.1016/j.fub.2024.100003","DOIUrl":"https://doi.org/10.1016/j.fub.2024.100003","url":null,"abstract":"<div><p>Remaining Useful Life (RUL) prediction in lithium-ion batteries is crucial for assessing battery performance. Despite the popularity of deep learning methods for RUL prediction, their complex architectures often pose challenges in interpretation and resource consumption. We propose a novel approach that combines the interpretability of a convolutional neural network (CNN) with the efficiency of a bat-based optimizer. CNN extracts battery data features and characterizes degradation kinetics, while the optimizer refines CNN parameters. Tested on NASA PCoE data, our method achieves exceptional results with minimal computational burden and fewer parameters. It outperforms traditional approaches, yielding an <strong>R2-score</strong> of <strong>0.9987120</strong>, an <strong>MAE</strong> of <strong>0.004397067 Ah</strong>, and a low <strong>RMSE</strong> of <strong>0.00656 Ah</strong>. The proposed model outperforms traditional deep learning models, as confirmed by comparative analysis.</p></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"2 ","pages":"Article 100003"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950264024000030/pdfft?md5=be1fc3a71e46f09dd45d43a2d6ef742b&pid=1-s2.0-S2950264024000030-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141485376","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":"Influence of temperature, state of charge and state of health on the thermal parameters of lithium-ion cells: Exploring thermal behavior and enabling fast-charging","authors":"Luca Tendera ,&nbsp;Hendrik Pegel ,&nbsp;Carlos Gonzalez ,&nbsp;Dominik Wycisk ,&nbsp;Alexander Fill ,&nbsp;Kai Peter Birke","doi":"10.1016/j.fub.2024.100001","DOIUrl":"https://doi.org/10.1016/j.fub.2024.100001","url":null,"abstract":"<div><p>The precise input of thermal parameters is essential for thermal simulation. Although constant thermal parameters are commonly used for parametrizing thermal modeling frameworks, extensive measurements indicate a significant dependence of thermal parameters on temperature, SOC and SOH. Therefore, this work summarizes experimental data and integrates determined operating point dependencies into a validated thermal-electrical-electrochemical modeling framework. Exploring the effect of variable thermal parameters, detailed effects on fast-charging and corresponding charging times are assessed.</p><p>It is found that the strong reduction in through-plane thermal conductivity due to aging can notably increase thermal inhomogeneity. Thus, heat dissipation is reduced and the thermal management has to be revised to prevent an increase in charging time of up to 3%. However, the operating point-dependent through-plane thermal conductivity has no significant effect on fast-charging for the analyzed pristine cylindrical lithium-ion cell. Furthermore, a temperature-dependent specific heat capacity definition considerably affects the thermal behavior of lithium-ion cells at extreme temperatures. While enabling a faster heating at low temperatures, a temperature-related current derating at high temperatures is delayed. Thus, a variable thermal parameter definition can lead to an increase in fast-charging capability of up to 3% due to the more precise modeling of the physical behavior of the cell.</p></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"1 ","pages":"Article 100001"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950264024000017/pdfft?md5=9e9fc4915a5f835d6ccde23bd1e82ecd&pid=1-s2.0-S2950264024000017-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351069","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}