Pub Date : 2025-11-03DOI: 10.1016/j.ijoes.2025.101219
Qiongzhen Zeng , Zhiyu Huo , Dongdong Wu , Lei Chen , Jinan Zhao
Graphite as the most widely used commercial anode material, has been developed to approach the theoretical upper limit of specific capacity, which possibly unsatisfied market demand in the coming future. To pursuit higher energy density Li-ion batteries (LIBs), a way of increasing anode thickness to improve areal capacity is proposed. 3D printing as an emerging technology, has more potential than traditional slurry-casting method in manufacturing the thick electrodes. Hence, this work employs Fused deposition modeling (FDM) printing and carbonization process to fabricate a thick electrode without current collector, 3D-G, which has honeycomb architecture, high areal mass loading and high areal capacity. With the biggest thickness, 3D-G can present a 16.96 mg cm−2 areal mass loading. The architecture offers surface channel to facilitate electrolyte infiltration and Li-ion diffusion that alleviates the kinetics defect caused by scaling up thickness. With a 0.6 mm electrode thickness and 0.5 mm honeycomb thickness, 3D-G delivered a 1.69 mAh cm−2 remaining capacity and a 2.53 mAh cm−2 average capacity after 100 cycles at a 0.3 mA cm−2. This research reveals the defects of graphite thick electrode and contributes a surface channel strategy to fabricate thick electrodes and optimize the rate and cycle capability.
石墨作为应用最广泛的工业阳极材料,其比容量已接近理论上限,未来可能无法满足市场需求。为了追求更高能量密度的锂离子电池,提出了增加阳极厚度以提高面容量的方法。3D打印作为一种新兴技术,在制造厚电极方面比传统的浆料铸造技术具有更大的潜力。因此,本研究采用熔融沉积建模(FDM)打印和碳化工艺,制备了蜂窝结构、高面质量载荷和高面容量的无集流电极3D-G。在厚度最大的情况下,3D-G的面质量载荷为16.96 mg cm−2。该结构提供了表面通道,以促进电解质的渗透和锂离子的扩散,减轻了因厚度增加而引起的动力学缺陷。3D-G电极厚度为0.6 mm,蜂窝厚度为0.5 mm,在0.3 mA cm−2下循环100次后,剩余容量为1.69 mAh cm−2,平均容量为2.53 mAh cm−2。本研究揭示了石墨厚电极存在的缺陷,为厚电极的制备及速率和循环性能的优化提供了一种表面通道策略。
{"title":"Graphite anode with thick honeycomb architecture and high areal capacity fabricated via FDM 3D printing for lithium-ion batteries","authors":"Qiongzhen Zeng , Zhiyu Huo , Dongdong Wu , Lei Chen , Jinan Zhao","doi":"10.1016/j.ijoes.2025.101219","DOIUrl":"10.1016/j.ijoes.2025.101219","url":null,"abstract":"<div><div>Graphite as the most widely used commercial anode material, has been developed to approach the theoretical upper limit of specific capacity, which possibly unsatisfied market demand in the coming future. To pursuit higher energy density Li-ion batteries (LIBs), a way of increasing anode thickness to improve areal capacity is proposed. 3D printing as an emerging technology, has more potential than traditional slurry-casting method in manufacturing the thick electrodes. Hence, this work employs Fused deposition modeling (FDM) printing and carbonization process to fabricate a thick electrode without current collector, 3D-G, which has honeycomb architecture, high areal mass loading and high areal capacity. With the biggest thickness, 3D-G can present a 16.96 mg cm<sup>−2</sup> areal mass loading. The architecture offers surface channel to facilitate electrolyte infiltration and Li-ion diffusion that alleviates the kinetics defect caused by scaling up thickness. With a 0.6 mm electrode thickness and 0.5 mm honeycomb thickness, 3D-G delivered a 1.69 mAh cm<sup>−2</sup> remaining capacity and a 2.53 mAh cm<sup>−2</sup> average capacity after 100 cycles at a 0.3 mA cm<sup>−2</sup>. This research reveals the defects of graphite thick electrode and contributes a surface channel strategy to fabricate thick electrodes and optimize the rate and cycle capability.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 12","pages":"Article 101219"},"PeriodicalIF":2.4,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-02DOI: 10.1016/j.ijoes.2025.101224
Renzhi Jiang, Yuncheng Cai, Ningning Dong
Rechargeable Li metal batteries are regarded as a pragmatic solution in the pursuit of cell-level energy densities exceeding 500 Wh kg−1. However, their stable operation remains a formidable challenge, primarily due to the dendritic and heterogeneous Li plating/stripping behavior of the Li metal anode, which is strongly influenced by electrolyte chemistry. Herein, we employ synergetic X-ray computed tomography (X-CT) and electrochemical characterization to examine electrolyte-dependent stabilization of Li metal interfaces and structural integrity. X-CT analysis uncovered Li plating/stripping dynamics and crack propagation in ester-based (ES) and ether-based (ET) electrolytes We reveal that, compared to conventional ES electrolytes, advanced ET electrolytes markedly enhance the homogeneity and densification of Li deposition, effectively suppressing dendrite formation and mitigating electrode structural degradation. This improvement is attributed to the enhanced stability of electrode structure, coupled with accelerated Li+ transport kinetics. With a 50 μm-thick electrode, Li||Li symmetric cells exhibit remarkable longevity, sustaining stable operation for over 1200 h at 1 mA cm−2 and 1 mAh cm−2, and extending to 2000 h at 1 mA cm−2 and 2 mAh cm−2. When applied to practical full cells with a high cathode loading of 4 mAh cm−2 and a 50 μm-thick bare Li electrode, LiNi0.95Mn0.03Co0.02O2 (NMC9532) ||Li cells demonstrate superior capacity retention, 96 % after 100 cycles and 74 % after 200 cycles at 0.3 C, outperforming their counterparts with carbonate-based electrolytes (50 % retention after 200 cycles under identical conditions). This work offers valuable insights into electrolyte-dependent Li plating behavior and the evolution of the electrolyte/electrode interface under practical conditions, paving the way for the development of high-energy-density Li metal batteries.
可充电锂金属电池被认为是追求电池级能量密度超过500 Wh kg−1的实用解决方案。然而,它们的稳定运行仍然是一个艰巨的挑战,主要是由于锂金属阳极的枝晶和非均相镀/剥离行为,这受到电解质化学的强烈影响。在此,我们采用协同x射线计算机断层扫描(X-CT)和电化学表征来检查锂金属界面的电解质依赖稳定性和结构完整性。X-CT分析揭示了酯基(ES)和醚基(ET)电解质中的锂电镀/剥离动力学和裂纹扩展。我们发现,与传统的ES电解质相比,先进的ET电解质显著增强了锂沉积的均匀性和致密性,有效地抑制了枝晶的形成,减轻了电极结构的退化。这种改进归因于电极结构稳定性的增强,以及Li+传输动力学的加速。使用50 μm厚的电极,Li||Li对称电池表现出显著的寿命,在1 mA cm−2和1 mAh cm−2下稳定运行1200 h以上,在1 mA cm−2和2 mAh cm−2下稳定运行2000 h。当应用于具有4 mAh cm−2高阴极负载和50 μm厚裸锂电极的实际全电池时,lini0.95 mn0.03 co0.020 o2 (NMC9532) ||锂电池表现出优异的容量保持率,在0.3 C下循环100次后为96% %,在200次循环后为74% %,优于使用碳酸基电解质的电池(在相同条件下循环200次后为50% %)。这项工作对电解质依赖的锂电镀行为和实际条件下电解质/电极界面的演变提供了有价值的见解,为高能量密度锂金属电池的发展铺平了道路。
{"title":"Combined X-ray computed tomography (X-CT) and electrochemical analysis of electrolyte-regulated stability of Li-metal anodes","authors":"Renzhi Jiang, Yuncheng Cai, Ningning Dong","doi":"10.1016/j.ijoes.2025.101224","DOIUrl":"10.1016/j.ijoes.2025.101224","url":null,"abstract":"<div><div>Rechargeable Li metal batteries are regarded as a pragmatic solution in the pursuit of cell-level energy densities exceeding 500 Wh kg<sup>−1</sup>. However, their stable operation remains a formidable challenge, primarily due to the dendritic and heterogeneous Li plating/stripping behavior of the Li metal anode, which is strongly influenced by electrolyte chemistry. Herein, we employ synergetic X-ray computed tomography (X-CT) and electrochemical characterization to examine electrolyte-dependent stabilization of Li metal interfaces and structural integrity. X-CT analysis uncovered Li plating/stripping dynamics and crack propagation in ester-based (ES) and ether-based (ET) electrolytes We reveal that, compared to conventional ES electrolytes, advanced ET electrolytes markedly enhance the homogeneity and densification of Li deposition, effectively suppressing dendrite formation and mitigating electrode structural degradation. This improvement is attributed to the enhanced stability of electrode structure, coupled with accelerated Li<sup>+</sup> transport kinetics. With a 50 μm-thick electrode, Li||Li symmetric cells exhibit remarkable longevity, sustaining stable operation for over 1200 h at 1 mA cm<sup>−2</sup> and 1 mAh cm<sup>−2</sup>, and extending to 2000 h at 1 mA cm<sup>−2</sup> and 2 mAh cm<sup>−2</sup>. When applied to practical full cells with a high cathode loading of 4 mAh cm<sup>−2</sup> and a 50 μm-thick bare Li electrode, LiNi<sub>0.95</sub>Mn<sub>0.03</sub>Co<sub>0.02</sub>O<sub>2</sub> (NMC9532) ||Li cells demonstrate superior capacity retention, 96 % after 100 cycles and 74 % after 200 cycles at 0.3 C, outperforming their counterparts with carbonate-based electrolytes (50 % retention after 200 cycles under identical conditions). This work offers valuable insights into electrolyte-dependent Li plating behavior and the evolution of the electrolyte/electrode interface under practical conditions, paving the way for the development of high-energy-density Li metal batteries.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 12","pages":"Article 101224"},"PeriodicalIF":2.4,"publicationDate":"2025-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.ijoes.2025.101221
Xin Zhou, Lei Chen
The porosity of the gas diffusion layer (GDL) in proton exchange membrane fuel cells (PEMFCs) exerts a significant impact on water - heat management. However, relatively few studies have been conducted on in-depth degradation quantification and impact analysis. This study innovatively employs a comprehensive numerical model to elucidate the impact of varying GDL porosity on PEMFC degradation mechanisms, including carbon corrosion, platinum (Pt) oxidation, dissolution, and redeposition. Our findings reveal that lower GDL porosity exacerbates carbon corrosion, accelerating Pt oxidation and reducing the electrochemically active surface area (ECSA), with distinct corrosion patterns emerging beneath ribs and flow channels. This work not only provides novel insights into the intricate relationship between GDL porosity and PEMFC durability but also offers a robust framework for optimizing GDL design to enhance fuel cell longevity and performance, marking a significant step forward in the field of fuel cell engineering.
{"title":"Numerical analysis of gas diffusion layer porosity effects on degradation and durability in proton exchange membrane fuel cells","authors":"Xin Zhou, Lei Chen","doi":"10.1016/j.ijoes.2025.101221","DOIUrl":"10.1016/j.ijoes.2025.101221","url":null,"abstract":"<div><div>The porosity of the gas diffusion layer (GDL) in proton exchange membrane fuel cells (PEMFCs) exerts a significant impact on water - heat management. However, relatively few studies have been conducted on in-depth degradation quantification and impact analysis. This study innovatively employs a comprehensive numerical model to elucidate the impact of varying GDL porosity on PEMFC degradation mechanisms, including carbon corrosion, platinum (Pt) oxidation, dissolution, and redeposition. Our findings reveal that lower GDL porosity exacerbates carbon corrosion, accelerating Pt oxidation and reducing the electrochemically active surface area (ECSA), with distinct corrosion patterns emerging beneath ribs and flow channels. This work not only provides novel insights into the intricate relationship between GDL porosity and PEMFC durability but also offers a robust framework for optimizing GDL design to enhance fuel cell longevity and performance, marking a significant step forward in the field of fuel cell engineering.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 12","pages":"Article 101221"},"PeriodicalIF":2.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.ijoes.2025.101197
Mingfan Cai , Wentao Wang
{"title":"Corrigendum to “Advances in electrochemical methods for the determination of ephedrine: Current status and future trends” [Int. J. Electrochem. Sci. 20 (2025) DOI:10.1016/j.ijoes.2024.100903]","authors":"Mingfan Cai , Wentao Wang","doi":"10.1016/j.ijoes.2025.101197","DOIUrl":"10.1016/j.ijoes.2025.101197","url":null,"abstract":"","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 11","pages":"Article 101197"},"PeriodicalIF":2.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145525507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-31DOI: 10.1016/j.ijoes.2025.101220
Dongmei Pan
Wearable motion monitoring systems demand power sources that are lightweight, flexible, and mechanically resilient while providing sufficient electrochemical performance under real-world conditions. This review critically surveys recent progress in fabric-integrated supercapacitors, emphasizing their unique suitability for intermittent, high-power operation in wearable electronics. The discussion begins with an evaluation of carbon-based, pseudocapacitive, and hybrid electrode materials, highlighting advances in nanostructuring, heterostructure design, and composite engineering that balance conductivity, capacitance, and durability. Fabrication strategies—including dip-coating, screen printing, wet spinning, and electrodeposition—are compared in terms of scalability, adhesion, and impact on textile comfort, with particular attention to the “scalability gap” that separates laboratory prototypes from manufacturable devices. The role of solid-state and gel polymer electrolytes is analyzed, noting their trade-offs between safety, ionic conductivity, and mechanical stability. Performance benchmarking across diverse material and device architectures reveals impressive power densities and mechanical robustness but also exposes the persistent challenge of low energy density relative to batteries. Case studies demonstrate that while current devices cannot yet serve as sole continuous power sources, their high-rate capabilities and durability position them as effective energy buffers when coupled with harvesting technologies such as thermoelectrics or triboelectrics. By situating these developments within the context of wearable sensor requirements, this review provides a holistic perspective on the state of fabric-integrated supercapacitors and delineates the material, processing, and integration strategies necessary to close the gap toward practical deployment in next-generation e-textiles.
{"title":"Fabric-integrated supercapacitors as power sources for wearable motion sensors","authors":"Dongmei Pan","doi":"10.1016/j.ijoes.2025.101220","DOIUrl":"10.1016/j.ijoes.2025.101220","url":null,"abstract":"<div><div>Wearable motion monitoring systems demand power sources that are lightweight, flexible, and mechanically resilient while providing sufficient electrochemical performance under real-world conditions. This review critically surveys recent progress in fabric-integrated supercapacitors, emphasizing their unique suitability for intermittent, high-power operation in wearable electronics. The discussion begins with an evaluation of carbon-based, pseudocapacitive, and hybrid electrode materials, highlighting advances in nanostructuring, heterostructure design, and composite engineering that balance conductivity, capacitance, and durability. Fabrication strategies—including dip-coating, screen printing, wet spinning, and electrodeposition—are compared in terms of scalability, adhesion, and impact on textile comfort, with particular attention to the “scalability gap” that separates laboratory prototypes from manufacturable devices. The role of solid-state and gel polymer electrolytes is analyzed, noting their trade-offs between safety, ionic conductivity, and mechanical stability. Performance benchmarking across diverse material and device architectures reveals impressive power densities and mechanical robustness but also exposes the persistent challenge of low energy density relative to batteries. Case studies demonstrate that while current devices cannot yet serve as sole continuous power sources, their high-rate capabilities and durability position them as effective energy buffers when coupled with harvesting technologies such as thermoelectrics or triboelectrics. By situating these developments within the context of wearable sensor requirements, this review provides a holistic perspective on the state of fabric-integrated supercapacitors and delineates the material, processing, and integration strategies necessary to close the gap toward practical deployment in next-generation e-textiles.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 12","pages":"Article 101220"},"PeriodicalIF":2.4,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-31DOI: 10.1016/j.ijoes.2025.101222
Yuanyuan Liu, Xiaoqin Xu, Aixin Yang
Bioelectrical impedance vector analysis (BIVA) has emerged as a promising bioelectrochemical method to evaluate physiological states and monitor training responses in athletes. This review synthesizes current evidence on BIVA’s applications in four major domains: hydration assessment, body composition and training adaptation, injury monitoring and recovery, and performance profiling. Unlike conventional single-parameter bioimpedance metrics, BIVA integrates resistance and reactance normalized for height to yield phase angle and vector displacement within population tolerance ellipses, enabling a qualitative assessment of cellular integrity and fluid distribution. In hydration monitoring, vectors typically lengthen and migrate upward with fluid loss when assessed serially under standardized conditions; single time-point classification is less sensitive in individuals. We outline practical thresholds for meaningful change using paired vector statistics for groups and reference-change values for individuals, and we summarize evidence from exercise hypohydration and training adaptations. Longitudinal studies indicate that training-induced increases in body cell mass correspond to leftward and shorter vectors, while segmental BIVA enhances resolution for localized muscle groups. Evidence also supports the use of BIVA to detect injury-related tissue alterations, track edema resolution, and guide return-to-play decisions through vector re-alignment toward pre-injury values. Furthermore, correlations between phase angle and performance indices such as VO₂max, muscle power, and neuromuscular efficiency suggest BIVA’s potential to complement performance assessments. However, variability due to electrode placement, skin temperature, posture, and timing relative to exercise underscores the need for standardized protocols and sport-specific reference ellipses. Future integration of multifrequency data and machine learning-driven pattern recognition may strengthen BIVA’s predictive capacity, transforming it from a descriptive biomarker into a decision-support tool for individualized athlete management.
{"title":"Bioelectrical impedance vector analysis (BIVA) in sports science: Applications, insights and future directions","authors":"Yuanyuan Liu, Xiaoqin Xu, Aixin Yang","doi":"10.1016/j.ijoes.2025.101222","DOIUrl":"10.1016/j.ijoes.2025.101222","url":null,"abstract":"<div><div>Bioelectrical impedance vector analysis (BIVA) has emerged as a promising bioelectrochemical method to evaluate physiological states and monitor training responses in athletes. This review synthesizes current evidence on BIVA’s applications in four major domains: hydration assessment, body composition and training adaptation, injury monitoring and recovery, and performance profiling. Unlike conventional single-parameter bioimpedance metrics, BIVA integrates resistance and reactance normalized for height to yield phase angle and vector displacement within population tolerance ellipses, enabling a qualitative assessment of cellular integrity and fluid distribution. In hydration monitoring, vectors typically lengthen and migrate upward with fluid loss when assessed serially under standardized conditions; single time-point classification is less sensitive in individuals. We outline practical thresholds for meaningful change using paired vector statistics for groups and reference-change values for individuals, and we summarize evidence from exercise hypohydration and training adaptations. Longitudinal studies indicate that training-induced increases in body cell mass correspond to leftward and shorter vectors, while segmental BIVA enhances resolution for localized muscle groups. Evidence also supports the use of BIVA to detect injury-related tissue alterations, track edema resolution, and guide return-to-play decisions through vector re-alignment toward pre-injury values. Furthermore, correlations between phase angle and performance indices such as VO₂max, muscle power, and neuromuscular efficiency suggest BIVA’s potential to complement performance assessments. However, variability due to electrode placement, skin temperature, posture, and timing relative to exercise underscores the need for standardized protocols and sport-specific reference ellipses. Future integration of multifrequency data and machine learning-driven pattern recognition may strengthen BIVA’s predictive capacity, transforming it from a descriptive biomarker into a decision-support tool for individualized athlete management.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 12","pages":"Article 101222"},"PeriodicalIF":2.4,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-30DOI: 10.1016/j.ijoes.2025.101218
Wajid Khan , Abdul Aziz , Muhammad Zain Yousaf , Feng Renhai , Yunshou Mao , Muhammad Waqas Latif , Wu Tonghao , Baseem Khan , Nkateko Eshias Mabunda , Ahmed Ali
Accurate monitoring of the State of Health (SoH) of lithium-ion batteries is critical for the reliable and safe operation of energy storage systems, particularly in grid-level applications where battery performance directly impacts the stability and efficiency of the grid. Traditional SoH estimation methods face challenges due to the complex and dynamic behavior of batteries, especially under varying thermal conditions. This paper proposes a hybrid machine learning approach that combines XGBoost with Long Short-Term Memory (LSTM) networks to predict the SoH of lithium-ion batteries. The XGBoost component models the relationship between engineered features, while the LSTM network captures the temporal degradation patterns in time-series data. The model is validated across a broad temperature range of 5°C–35°C to account for thermal variability. To rigorously assess generalization, the model is evaluated using ten-fold cross-validation and leave-one-temperature-out (LOTO) analysis, ensuring robustness across unseen conditions. Experimental results demonstrate that the proposed framework outperforms traditional methods, including electrochemical models and support vector machines, in terms of accuracy and robustness, particularly in fluctuating thermal conditions. The model’s interpretability is enhanced through TreeSHAP analysis, providing actionable insights into battery degradation mechanisms. This approach offers a reliable and scalable solution for real-time SoH monitoring, predictive maintenance, and optimal management of energy storage systems.
{"title":"Hybrid XGBoost–LSTM model for state-of-health prediction of lithium-ion batteries under different thermal conditions","authors":"Wajid Khan , Abdul Aziz , Muhammad Zain Yousaf , Feng Renhai , Yunshou Mao , Muhammad Waqas Latif , Wu Tonghao , Baseem Khan , Nkateko Eshias Mabunda , Ahmed Ali","doi":"10.1016/j.ijoes.2025.101218","DOIUrl":"10.1016/j.ijoes.2025.101218","url":null,"abstract":"<div><div>Accurate monitoring of the State of Health (SoH) of lithium-ion batteries is critical for the reliable and safe operation of energy storage systems, particularly in grid-level applications where battery performance directly impacts the stability and efficiency of the grid. Traditional SoH estimation methods face challenges due to the complex and dynamic behavior of batteries, especially under varying thermal conditions. This paper proposes a hybrid machine learning approach that combines XGBoost with Long Short-Term Memory (LSTM) networks to predict the SoH of lithium-ion batteries. The XGBoost component models the relationship between engineered features, while the LSTM network captures the temporal degradation patterns in time-series data. The model is validated across a broad temperature range of 5°C–35°C to account for thermal variability. To rigorously assess generalization, the model is evaluated using ten-fold cross-validation and leave-one-temperature-out (LOTO) analysis, ensuring robustness across unseen conditions. Experimental results demonstrate that the proposed framework outperforms traditional methods, including electrochemical models and support vector machines, in terms of accuracy and robustness, particularly in fluctuating thermal conditions. The model’s interpretability is enhanced through TreeSHAP analysis, providing actionable insights into battery degradation mechanisms. This approach offers a reliable and scalable solution for real-time SoH monitoring, predictive maintenance, and optimal management of energy storage systems.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"21 1","pages":"Article 101218"},"PeriodicalIF":2.4,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-29DOI: 10.1016/j.ijoes.2025.101217
Jiang Xia , Li Xin , Zhao Dongni
The performance of supercapacitors largely depends on the characteristics of electrode materials. Among various electrode materials, iron oxide has been widely used as an electrode material for supercapacitors. However, iron oxide still has problems of low stability and poor conductivity, which seriously hinders its application as an electrode material for high-performance supercapacitors. To solve these problems, one approach is to use carbon materials with good mechanical and electrical conductivity as the carbon skeleton of composite electrode materials and combine them with iron oxide of different crystal structures to obtain composite supercapacitor electrode materials with excellent electrochemical performance. Based on the introduction of the structure and properties of ferrite compounds, this paper comprehensively reviews the preparation methods of iron-based/carbon composite electrode materials. In addition, based on different micro-space dimensional structures, the research progress of iron-based/carbon composite electrode materials in supercapacitors is summarized, and the problems in their application process are pointed out. This comprehensive summary will help promote the research and development of high-performance supercapacitors based on iron-based electrode materials.
{"title":"Recent advances in iron oxide/carbon composite electrodes for high-performance supercapacitors","authors":"Jiang Xia , Li Xin , Zhao Dongni","doi":"10.1016/j.ijoes.2025.101217","DOIUrl":"10.1016/j.ijoes.2025.101217","url":null,"abstract":"<div><div>The performance of supercapacitors largely depends on the characteristics of electrode materials. Among various electrode materials, iron oxide has been widely used as an electrode material for supercapacitors. However, iron oxide still has problems of low stability and poor conductivity, which seriously hinders its application as an electrode material for high-performance supercapacitors. To solve these problems, one approach is to use carbon materials with good mechanical and electrical conductivity as the carbon skeleton of composite electrode materials and combine them with iron oxide of different crystal structures to obtain composite supercapacitor electrode materials with excellent electrochemical performance. Based on the introduction of the structure and properties of ferrite compounds, this paper comprehensively reviews the preparation methods of iron-based/carbon composite electrode materials. In addition, based on different micro-space dimensional structures, the research progress of iron-based/carbon composite electrode materials in supercapacitors is summarized, and the problems in their application process are pointed out. This comprehensive summary will help promote the research and development of high-performance supercapacitors based on iron-based electrode materials.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 12","pages":"Article 101217"},"PeriodicalIF":2.4,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145424957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-28DOI: 10.1016/j.ijoes.2025.101216
Cheng-Tang Pan , Yu-Hsiu Lin , Yi-Hsuan Liu , Ming-Chan Lee
Non-uniform copper surface roughness in semiconductor manufacturing causes false Automated Optical Inspection (AOI) signals, necessitating manual re-inspection and reducing production efficiency. This study aims to optimize electroplating processes to improve surface quality and reduce labor dependence by systematically investigating the effects of critical process parameters. Uniform Design (UD) was employed to establish the experimental framework, examining the influence of current density, production time limitation (Q-Time), and plating thickness on electroplating quality. A Kriging-based Response Surface Method (K-RSM) integrated with Genetic Algorithm (GA) was applied for process optimization, followed by experimental validation. Analysis of Variance (ANOVA) assessed the contribution of each factor to surface uniformity. Results demonstrated that optimal parameters—current density of 9 A/dm², Q-Time of 1 h, and plating thickness of 5.7 μm—achieved 17.48 % improvement in surface roughness uniformity and 23.33 % reduction in manual re-inspection rates after AOI. Current density exhibited the most significant influence on surface quality. The proposed methodology provides a systematic and reproducible approach for electroplating process optimization, effectively enhancing manufacturing reliability while minimizing labor costs in semiconductor production.
{"title":"Optimization of electroplating processes using Kriging-based response surface method (K-RSM) and genetic algorithm (GA) for enhanced surface uniformity of copper","authors":"Cheng-Tang Pan , Yu-Hsiu Lin , Yi-Hsuan Liu , Ming-Chan Lee","doi":"10.1016/j.ijoes.2025.101216","DOIUrl":"10.1016/j.ijoes.2025.101216","url":null,"abstract":"<div><div>Non-uniform copper surface roughness in semiconductor manufacturing causes false Automated Optical Inspection (AOI) signals, necessitating manual re-inspection and reducing production efficiency. This study aims to optimize electroplating processes to improve surface quality and reduce labor dependence by systematically investigating the effects of critical process parameters. Uniform Design (UD) was employed to establish the experimental framework, examining the influence of current density, production time limitation (Q-Time), and plating thickness on electroplating quality. A Kriging-based Response Surface Method (K-RSM) integrated with Genetic Algorithm (GA) was applied for process optimization, followed by experimental validation. Analysis of Variance (ANOVA) assessed the contribution of each factor to surface uniformity. Results demonstrated that optimal parameters—current density of 9 A/dm², Q-Time of 1 h, and plating thickness of 5.7 μm—achieved 17.48 % improvement in surface roughness uniformity and 23.33 % reduction in manual re-inspection rates after AOI. Current density exhibited the most significant influence on surface quality. The proposed methodology provides a systematic and reproducible approach for electroplating process optimization, effectively enhancing manufacturing reliability while minimizing labor costs in semiconductor production.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 12","pages":"Article 101216"},"PeriodicalIF":2.4,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145424958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}