Pub Date : 2024-07-22DOI: 10.1007/s11581-024-05688-x
Zhoujian An, Minchao Yao, Xiaoze Du, Qingliang Li, Binghao Jian, Dong Zhang
The single-channel-serpentine proton exchange membrane water electrolyzer (PEMWE) has the potential to be a crucial element in the linking of power, transport, heating, and chemical industries in the foreseeable future of sustainable energy systems. Its performance is influenced by a number of factors. Within the many factors affecting their performance, the external operating parameters have a significant effect on the temperature distribution of the internal components as well as the moisture distribution. In this paper, a single-channel-serpentine flow field electrolyzer (SFFE) is built to address the simulation deficiencies of a conventional single-channel proton exchange membrane electrolyzer, and to more intuitively represent the effects of single-channel-serpentine external environmental parameters on the internal performance of the electrolyzer, in order to assess the effects of different voltages, operating temperatures, and inlet flow rates on the distribution of heat, the distribution of liquid water and gases, and the susceptibility to cross-penetration sites. The results show that when the operating voltage drops below 2.2 V, the liquid-saturated water undergoes a greater impact. Specifically, the voltage increase from 1.6 to 2.2 V results in a significant decrease from 0.97 to 0.79, corresponding to an 18.6% drop. That is, when the voltage is 2.2 V, the liquid water content ensures the adequacy of the reaction, while the inhibitory effect of bubble formation occurs at the beginning. Therefore, 338.15 K and 2.2 V are the most recommended experimental conditions.
在可预见的未来可持续能源系统中,单通道蛇形质子交换膜水电解槽(PEMWE)有可能成为连接电力、运输、供热和化工行业的关键要素。其性能受到多种因素的影响。在影响其性能的众多因素中,外部运行参数对内部组件的温度分布和湿度分布有重大影响。本文针对传统单通道质子交换膜电解槽模拟的不足,建立了单通道蛇形流场电解槽(SFFE),更直观地表现单通道蛇形流场外部环境参数对电解槽内部性能的影响,以评估不同电压、工作温度和入口流速对热量分布、液态水和气体分布以及易交叉渗透点的影响。结果表明,当工作电压降至 2.2 V 以下时,液态饱和水受到的影响更大。具体来说,电压从 1.6 V 上升到 2.2 V 时,水的浓度从 0.97 显著下降到 0.79,相当于下降了 18.6%。也就是说,当电压为 2.2 V 时,液态水含量确保了反应的充分性,而气泡形成的抑制作用则出现在开始阶段。因此,338.15 K 和 2.2 V 是最值得推荐的实验条件。
{"title":"Influence of external operating parameters on the hydrothermal transport and performance in proton exchange membrane water electrolyzer","authors":"Zhoujian An, Minchao Yao, Xiaoze Du, Qingliang Li, Binghao Jian, Dong Zhang","doi":"10.1007/s11581-024-05688-x","DOIUrl":"https://doi.org/10.1007/s11581-024-05688-x","url":null,"abstract":"<p>The single-channel-serpentine proton exchange membrane water electrolyzer (PEMWE) has the potential to be a crucial element in the linking of power, transport, heating, and chemical industries in the foreseeable future of sustainable energy systems. Its performance is influenced by a number of factors. Within the many factors affecting their performance, the external operating parameters have a significant effect on the temperature distribution of the internal components as well as the moisture distribution. In this paper, a single-channel-serpentine flow field electrolyzer (SFFE) is built to address the simulation deficiencies of a conventional single-channel proton exchange membrane electrolyzer, and to more intuitively represent the effects of single-channel-serpentine external environmental parameters on the internal performance of the electrolyzer, in order to assess the effects of different voltages, operating temperatures, and inlet flow rates on the distribution of heat, the distribution of liquid water and gases, and the susceptibility to cross-penetration sites. The results show that when the operating voltage drops below 2.2 V, the liquid-saturated water undergoes a greater impact. Specifically, the voltage increase from 1.6 to 2.2 V results in a significant decrease from 0.97 to 0.79, corresponding to an 18.6% drop. That is, when the voltage is 2.2 V, the liquid water content ensures the adequacy of the reaction, while the inhibitory effect of bubble formation occurs at the beginning. Therefore, 338.15 K and 2.2 V are the most recommended experimental conditions.</p>","PeriodicalId":599,"journal":{"name":"Ionics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141784120","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 : 2024-07-20DOI: 10.1007/s11581-024-05717-9
Lei Lei, Shuo Zhao, Rui Ding, Zhou Li, Yang Liu, Xiaochao Xian
In this work, rutile-phase Ti0.95Nb0.95O4/C (TNO/C) composites with different carbon contents were obtained through solvothermal method and subsequent calcination. The effect of carbon component on the microstructure and electrochemical performances of TNO/C composites were investigated. The results indicate more oxygen vacancies, and higher contents of Nb4+ and Ti3+ can be obtained under higher carbon content, leading to enhanced conductivity. Besides serving as conductive agent, carbon component in TNO/C composites also acts as an active component for Li+ storage, and pseudocapacitance provided by carbon component increases with the increasing of its relative content. Therefore, TNO/C-27.0 composites with the highest carbon content in the as-prepared composites deliver the highest reversible capacities at different current densities and excellent cycling capability of 488 mAh·g−1 at 0.3 A·g−1 after 300 cycles and 331 mAh·g−1 at 1.0 A·g−1 after 500 cycles.
{"title":"The role of carbon component on the electrochemical performances of Ti0.95Nb0.95O4/C composites as anode of lithium-ion batteries","authors":"Lei Lei, Shuo Zhao, Rui Ding, Zhou Li, Yang Liu, Xiaochao Xian","doi":"10.1007/s11581-024-05717-9","DOIUrl":"https://doi.org/10.1007/s11581-024-05717-9","url":null,"abstract":"<p>In this work, rutile-phase Ti<sub>0.95</sub>Nb<sub>0.95</sub>O<sub>4</sub>/C (TNO/C) composites with different carbon contents were obtained through solvothermal method and subsequent calcination. The effect of carbon component on the microstructure and electrochemical performances of TNO/C composites were investigated. The results indicate more oxygen vacancies, and higher contents of Nb<sup>4+</sup> and Ti<sup>3+</sup> can be obtained under higher carbon content, leading to enhanced conductivity. Besides serving as conductive agent, carbon component in TNO/C composites also acts as an active component for Li<sup>+</sup> storage, and pseudocapacitance provided by carbon component increases with the increasing of its relative content. Therefore, TNO/C-27.0 composites with the highest carbon content in the as-prepared composites deliver the highest reversible capacities at different current densities and excellent cycling capability of 488 mAh·g<sup>−1</sup> at 0.3 A·g<sup>−1</sup> after 300 cycles and 331 mAh·g<sup>−1</sup> at 1.0 A·g<sup>−1</sup> after 500 cycles.</p>","PeriodicalId":599,"journal":{"name":"Ionics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737405","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 : 2024-07-20DOI: 10.1007/s11581-024-05716-w
Xianfeng Shen, Shunli Wang, Chunmei Yu, Zehao Li, Carlos Fernandez
State of energy (SOE) estimation of lithium-ion batteries is the basis of electric vehicle driving range prediction. To improve the estimation accuracy of SOE under complex dynamic working conditions, this paper takes the ternary lithium-ion battery as the research object, chooses the second-order RC-PNGV model to model the polarization reaction inside the battery, and adopts the improved adaptive forgetting factor recursive least squares (MAFFRLS) method to identify the model parameters. For battery SOE estimation, an improved unscented particle filtering algorithm for particle swarm optimization is proposed, which introduces quantum theory into particle swarm optimization to solve the sub-depletion problem of unscented particle filtering and improves the accuracy and adaptability of real-time estimation of SOE in complex environments. Experimental validation is carried out by constructing different working conditions at multiple temperatures, and the results show that the maximum error of parameter identification using recursive least squares based on improved adaptive-forgotten factor is stabilized within 2%. Under the HPPC, BBDST, and DST working conditions, the MAE and RMSE are limited to within 1% when the quantum particle swarm optimized-unscented particle filtering (QPSO-UPF) algorithm is applied to estimate the SOE estimation, which indicates that the proposed algorithm has strong tracking ability and robustness to the SOE of lithium batteries.
锂离子电池的能量状态(SOE)估算是电动汽车行驶里程预测的基础。为提高复杂动态工况下 SOE 的估计精度,本文以三元锂离子电池为研究对象,选用二阶 RC-PNGV 模型对电池内部的极化反应进行建模,并采用改进的自适应遗忘因子递归最小二乘法(MAFFRLS)确定模型参数。针对电池 SOE 估计,提出了改进的粒子群优化无香味粒子滤波算法,将量子理论引入粒子群优化,解决了无香味粒子滤波的子耗尽问题,提高了复杂环境下 SOE 实时估计的精度和适应性。通过构建多种温度下的不同工况条件进行了实验验证,结果表明基于改进的自适应遗忘因子的递归最小二乘法的参数识别最大误差稳定在 2% 以内。在 HPPC、BBDST 和 DST 工况下,采用量子粒子群优化-非cented 粒子滤波(QPSO-UPF)算法估计 SOE 估计值时,MAE 和 RMSE 均限制在 1%以内,这表明所提出的算法对锂电池的 SOE 具有较强的跟踪能力和鲁棒性。
{"title":"A hybrid algorithm for the state of energy estimation of lithium-ion batteries based on improved adaptive-forgotten-factor recursive least squares and particle swarm optimized unscented particle filtering","authors":"Xianfeng Shen, Shunli Wang, Chunmei Yu, Zehao Li, Carlos Fernandez","doi":"10.1007/s11581-024-05716-w","DOIUrl":"https://doi.org/10.1007/s11581-024-05716-w","url":null,"abstract":"<p>State of energy (SOE) estimation of lithium-ion batteries is the basis of electric vehicle driving range prediction. To improve the estimation accuracy of SOE under complex dynamic working conditions, this paper takes the ternary lithium-ion battery as the research object, chooses the second-order RC-PNGV model to model the polarization reaction inside the battery, and adopts the improved adaptive forgetting factor recursive least squares (MAFFRLS) method to identify the model parameters. For battery SOE estimation, an improved unscented particle filtering algorithm for particle swarm optimization is proposed, which introduces quantum theory into particle swarm optimization to solve the sub-depletion problem of unscented particle filtering and improves the accuracy and adaptability of real-time estimation of SOE in complex environments. Experimental validation is carried out by constructing different working conditions at multiple temperatures, and the results show that the maximum error of parameter identification using recursive least squares based on improved adaptive-forgotten factor is stabilized within 2%. Under the HPPC, BBDST, and DST working conditions, the MAE and RMSE are limited to within 1% when the quantum particle swarm optimized-unscented particle filtering (QPSO-UPF) algorithm is applied to estimate the SOE estimation, which indicates that the proposed algorithm has strong tracking ability and robustness to the SOE of lithium batteries.</p>","PeriodicalId":599,"journal":{"name":"Ionics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737407","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 : 2024-07-20DOI: 10.1007/s11581-024-05711-1
Khuram Shahzad Ahmad, Shaan Bibi Jaffri, Wang Lin, Ram K. Gupta, Ghulam Abbas Ashraf, Ammar M. Tighezza
The scientific community and energy stakeholders have placed a great deal of emphasis on electrochemical energy storage in the current era of increased energy demand. Using the unique BaS:NiS:Gd2S3 semiconductor chalcogenide, which is produced using diethyldithiocarbamate ligand as a chelating agent, the current work aims to improve the functionality of charge storage devices and water splitting for energy production. The light absorption of the sustainably produced BaS:NiS:Gd2S3 semiconductor rendered it an excellent photoactive material with the 2.93 eV of the energy band gap. The produced chalcogenide’s average crystallite size, with the mixed crystalline phases, was 17.61 nm, demonstrating exceptional crystallinity. Moreover, metallic sulfide linkages were explored using infrared spectroscopy, and they were located between 400 and 1000 cm−1. Particles with variable shapes and a roughly rod-shaped fusion indicated a higher volume-surface area ratio and the presence of several sites. The BaS:NiS:Gd2S3 electrochemical performance was evaluated using a standard three-electrode setup with a background electrolyte of 1 M KOH. BaS:NiS:Gd2S3, with a specific power density of 5674.08 W kg−1 and a specific capacitance of up to 745.55 F g−1, is a great electrode material for energy storage applications. The comparable series resistance (Rs) of 1.14 Ω further supported this significant electrochemical performance. In terms of the electrochemical water splitting, the OER Tafel slope value is 87 mV/dec, respectively, suggested by the electrochemical data for the OER activity. This electrode produced a Tafel slope of 281 mV/dec and a HER overpotential value of 276 mV.
在当前能源需求日益增长的时代,科学界和能源利益相关者都非常重视电化学储能。利用二乙基二硫代氨基甲酸二酯配体作为螯合剂生产出的独特的 BaS:NiS:Gd2S3 半导体瑀,目前的研究工作旨在提高电荷存储设备和水分离能源生产的功能。可持续制备的 BaS:NiS:Gd2S3 半导体对光的吸收使其成为一种能带隙为 2.93 eV 的优异光活性材料。所制备的掺杂晶体的平均结晶尺寸为 17.61 nm,显示出卓越的结晶性。此外,利用红外光谱分析还发现了金属硫化物链节,它们位于 400 到 1000 cm-1 之间。颗粒形状各异,大致呈棒状融合,表明其体积-表面积比率较高,且存在多个位点。使用标准的三电极设置和 1 M KOH 背景电解液对 BaS:NiS:Gd2S3 的电化学性能进行了评估。BaS:NiS:Gd2S3 的比功率密度为 5674.08 W kg-1,比电容高达 745.55 F g-1,是一种非常适合储能应用的电极材料。1.14 Ω的可比串联电阻(Rs)进一步证实了其显著的电化学性能。在电化学水分裂方面,OER 塔菲尔斜率值分别为 87 mV/dec,电化学数据表明了 OER 的活性。该电极产生的塔菲尔斜率值为 281 mV/dec,HER 过电位值为 276 mV。
{"title":"Electrifying sustainability: synthesis of BaS:NiS:Gd2S3 semiconductor trichalcogenides via single-source precursors for optimal supercapacitor operation","authors":"Khuram Shahzad Ahmad, Shaan Bibi Jaffri, Wang Lin, Ram K. Gupta, Ghulam Abbas Ashraf, Ammar M. Tighezza","doi":"10.1007/s11581-024-05711-1","DOIUrl":"https://doi.org/10.1007/s11581-024-05711-1","url":null,"abstract":"<p>The scientific community and energy stakeholders have placed a great deal of emphasis on electrochemical energy storage in the current era of increased energy demand. Using the unique BaS:NiS:Gd<sub>2</sub>S<sub>3</sub> semiconductor chalcogenide, which is produced using diethyldithiocarbamate ligand as a chelating agent, the current work aims to improve the functionality of charge storage devices and water splitting for energy production. The light absorption of the sustainably produced BaS:NiS:Gd<sub>2</sub>S<sub>3</sub> semiconductor rendered it an excellent photoactive material with the 2.93 eV of the energy band gap. The produced chalcogenide’s average crystallite size, with the mixed crystalline phases, was 17.61 nm, demonstrating exceptional crystallinity. Moreover, metallic sulfide linkages were explored using infrared spectroscopy, and they were located between 400 and 1000 cm<sup>−1</sup>. Particles with variable shapes and a roughly rod-shaped fusion indicated a higher volume-surface area ratio and the presence of several sites. The BaS:NiS:Gd<sub>2</sub>S<sub>3</sub> electrochemical performance was evaluated using a standard three-electrode setup with a background electrolyte of 1 M KOH. BaS:NiS:Gd<sub>2</sub>S<sub>3</sub>, with a specific power density of 5674.08 W kg<sup>−1</sup> and a specific capacitance of up to 745.55 F g<sup>−1</sup>, is a great electrode material for energy storage applications. The comparable series resistance (<i>R</i><sub>s</sub>) of 1.14 Ω further supported this significant electrochemical performance. In terms of the electrochemical water splitting, the OER Tafel slope value is 87 mV/dec, respectively, suggested by the electrochemical data for the OER activity. This electrode produced a Tafel slope of 281 mV/dec and a HER overpotential value of 276 mV.</p>","PeriodicalId":599,"journal":{"name":"Ionics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737409","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 : 2024-07-20DOI: 10.1007/s11581-024-05705-z
B. Abraham Ponsingh, V. Rajagopalan
Zinc oxide and nickel oxide nanocomposite was successfully synthesized using the co-precipitation technique and evaluated for their photocatalytic efficiency in the degradation of hexavalent chromium. The synthesized nanocomposite was characterized using various techniques such as X-ray diffraction, Fourier transform infrared spectroscopy, ultraviolet–visible spectroscopy, scanning electron microscopy, and energy-dispersive X-ray spectroscopy to analyze its structure, morphology, chemical bonding, photoabsorption properties, and elemental composition. X-ray diffraction exhibits the presence of zinc oxide, nickel oxide, and zinc oxide and nickel oxide nanocomposite, with average crystallite sizes of 37.92 nm, 56.23 nm, and 41.77 nm, respectively. Fourier transform infrared spectroscopy was used to analyze the chemical composition of zinc oxide and nickel oxide nanocomposite. The ultraviolet–visible spectroscopy exhibited an absorption peak at 447 nm, indicating a bandgap of 2.77 eV. A novel industrial-oriented photoreactor was designed for the reduction of hexavalent chromium under ultraviolet–visible illumination with varying operational parameters. The effectiveness of the experiment was assessed using response surface methodology based on central composite design, which demonstrated a remarkable 95% reduction of hexavalent chromium under optimized conditions. This study validates the accuracy of central composite design in predicting levels of hexavalent chromium reduction. The rate constant for the degradation kinetics of hexavalent chromium was studied to be 0.00450 min−1, indicating adherence to pseudo-second-order kinetics. Additionally, the prepared nanocomposite exhibited significant antibacterial activity against Bacillus subtilis, Escherichia coli, and Pseudomonas putida at different concentrations.
利用共沉淀技术成功合成了氧化锌和氧化镍纳米复合材料,并评估了它们在降解六价铬方面的光催化效率。利用 X 射线衍射、傅立叶变换红外光谱、紫外-可见光谱、扫描电子显微镜和能量色散 X 射线光谱等多种技术对合成的纳米复合材料进行了表征,以分析其结构、形态、化学键、光吸收特性和元素组成。X 射线衍射显示存在氧化锌、氧化镍以及氧化锌和氧化镍纳米复合材料,其平均晶粒大小分别为 37.92 nm、56.23 nm 和 41.77 nm。傅立叶变换红外光谱分析了氧化锌和氧化镍纳米复合材料的化学成分。紫外-可见光谱显示了 447 纳米处的吸收峰,表明带隙为 2.77 eV。设计了一种新型的面向工业的光反应器,用于在紫外-可见光照明下以不同的操作参数还原六价铬。采用基于中心复合设计的响应面方法对实验效果进行了评估,结果表明在优化条件下,六价铬的还原率高达 95%。这项研究验证了中心复合设计在预测六价铬降解水平方面的准确性。研究发现,六价铬降解动力学的速率常数为 0.00450 min-1,表明其符合假二阶动力学。此外,制备的纳米复合材料在不同浓度下对枯草芽孢杆菌、大肠杆菌和假单胞菌具有显著的抗菌活性。
{"title":"Design and optimization of a photocatalytic system for Cr(VI) ion reduction using ZnO-NiO nanocomposite by response surface method and their antibacterial studies","authors":"B. Abraham Ponsingh, V. Rajagopalan","doi":"10.1007/s11581-024-05705-z","DOIUrl":"https://doi.org/10.1007/s11581-024-05705-z","url":null,"abstract":"<p>Zinc oxide and nickel oxide nanocomposite was successfully synthesized using the co-precipitation technique and evaluated for their photocatalytic efficiency in the degradation of hexavalent chromium. The synthesized nanocomposite was characterized using various techniques such as X-ray diffraction, Fourier transform infrared spectroscopy, ultraviolet–visible spectroscopy, scanning electron microscopy, and energy-dispersive X-ray spectroscopy to analyze its structure, morphology, chemical bonding, photoabsorption properties, and elemental composition. X-ray diffraction exhibits the presence of zinc oxide, nickel oxide, and zinc oxide and nickel oxide nanocomposite, with average crystallite sizes of 37.92 nm, 56.23 nm, and 41.77 nm, respectively. Fourier transform infrared spectroscopy was used to analyze the chemical composition of zinc oxide and nickel oxide nanocomposite. The ultraviolet–visible spectroscopy exhibited an absorption peak at 447 nm, indicating a bandgap of 2.77 eV. A novel industrial-oriented photoreactor was designed for the reduction of hexavalent chromium under ultraviolet–visible illumination with varying operational parameters. The effectiveness of the experiment was assessed using response surface methodology based on central composite design, which demonstrated a remarkable 95% reduction of hexavalent chromium under optimized conditions. This study validates the accuracy of central composite design in predicting levels of hexavalent chromium reduction. The rate constant for the degradation kinetics of hexavalent chromium was studied to be 0.00450 min<sup>−1</sup>, indicating adherence to pseudo-second-order kinetics. Additionally, the prepared nanocomposite exhibited significant antibacterial activity against <i>Bacillus subtilis</i>,<i> Escherichia coli</i>, and <i>Pseudomonas putida</i> at different concentrations.</p>","PeriodicalId":599,"journal":{"name":"Ionics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737441","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 : 2024-07-19DOI: 10.1007/s11581-024-05698-9
Xianfeng Shen, Shunli Wang, Chunmei Yu, Zehao Li, Carlos Fernandez
State of energy (SOE) estimation of lithium-ion batteries is the basis for electric vehicle range prediction. To improve the estimation accuracy of SOE under complex dynamic operating conditions. In this paper, ternary lithium-ion batteries are used as the object of study and propose a hybrid approach that combines a particle swarm optimization-based forgetting factor recursive least squares method with an improved curve-increasing particle swarm optimization-extended particle filter algorithm for accurate estimation of the state of energy of lithium-ion batteries. Firstly, for the accuracy defects of the FFRLS method, the particle swarm optimization algorithm is used to optimize the initial value of the optimal parameters and the value of the forgetting factor. Secondly, the curve-increasing strategy is introduced into particle swarm optimization to solve the sub-poor problem of extended particle filtering. Experimental validation through different working conditions at multiple temperatures. The results show that the maximum error of parameter identification using the PSO-FFRLS algorithm is stabilized within 1.5%, and the SOE estimation error is within 1.5% for both BBDST and DST conditions at both temperatures. Therefore, the algorithm has high accuracy and robustness under different complex working conditions. The estimation results prove the effectiveness of the energy state estimation.
{"title":"An improved forgetting factor recursive least square and extended particle filtering algorithm for accurate lithium-ion battery state of energy estimation","authors":"Xianfeng Shen, Shunli Wang, Chunmei Yu, Zehao Li, Carlos Fernandez","doi":"10.1007/s11581-024-05698-9","DOIUrl":"https://doi.org/10.1007/s11581-024-05698-9","url":null,"abstract":"<p>State of energy (SOE) estimation of lithium-ion batteries is the basis for electric vehicle range prediction. To improve the estimation accuracy of SOE under complex dynamic operating conditions. In this paper, ternary lithium-ion batteries are used as the object of study and propose a hybrid approach that combines a particle swarm optimization-based forgetting factor recursive least squares method with an improved curve-increasing particle swarm optimization-extended particle filter algorithm for accurate estimation of the state of energy of lithium-ion batteries. Firstly, for the accuracy defects of the FFRLS method, the particle swarm optimization algorithm is used to optimize the initial value of the optimal parameters and the value of the forgetting factor. Secondly, the curve-increasing strategy is introduced into particle swarm optimization to solve the sub-poor problem of extended particle filtering. Experimental validation through different working conditions at multiple temperatures. The results show that the maximum error of parameter identification using the PSO-FFRLS algorithm is stabilized within 1.5%, and the SOE estimation error is within 1.5% for both BBDST and DST conditions at both temperatures. Therefore, the algorithm has high accuracy and robustness under different complex working conditions. The estimation results prove the effectiveness of the energy state estimation.</p>","PeriodicalId":599,"journal":{"name":"Ionics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737742","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 : 2024-07-19DOI: 10.1007/s11581-024-05700-4
Di Zheng, Shuo Man, Xifeng Guo, Yi Ning
Accurate prediction of the state of health (SOH) and remaining useful life (RUL) of batteries is essential for ensuring their safe and stable operation. Given the strong correlation between SOH and RUL, it is imperative to employ a joint prediction approach for a comprehensive evaluation of the actual battery aging condition. Therefore, this paper proposes a novel approach for jointly predicting SOH and RUL of lithium-ion batteries, which is based on the optimization of health features and fusion of multiple models. Multiple health features (HFs) are extracted from the charging voltage curve, and the fusion HF is optimized using kernel principal component analysis (KPCA) to leverage the complementary advantages of multiple features. Deep Gaussian process regression (DGPR) is employed to address the issue of lacking confidence interval expression in the prediction process. Combined with particle swarm optimization (PSO) and bidirectional long short-term memory (Bi-LSTM) network, fusion models of PSO-DGPR and Bi-LSTM-PSO-DGPR are developed for the prediction of SOH and RUL, respectively. In order to achieve the joint prediction of SOH and RUL, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is utilized to decompose the SOH prediction results, obtaining reliable capacity data for RUL prediction and eliminating local regeneration fluctuations caused by capacity regeneration effects. Furthermore, CALCE and NASA data sets are employed for validation. The experimental results demonstrate a significant reduction in the prediction error, compared to other prediction methods, thereby enhancing the accuracy and reliability of SOH and RUL prediction.
{"title":"Joint prediction of state of health and remaining useful life for lithium-ion batteries based on health features optimization and multi-model fusion","authors":"Di Zheng, Shuo Man, Xifeng Guo, Yi Ning","doi":"10.1007/s11581-024-05700-4","DOIUrl":"https://doi.org/10.1007/s11581-024-05700-4","url":null,"abstract":"<p>Accurate prediction of the state of health (SOH) and remaining useful life (RUL) of batteries is essential for ensuring their safe and stable operation. Given the strong correlation between SOH and RUL, it is imperative to employ a joint prediction approach for a comprehensive evaluation of the actual battery aging condition. Therefore, this paper proposes a novel approach for jointly predicting SOH and RUL of lithium-ion batteries, which is based on the optimization of health features and fusion of multiple models. Multiple health features (HFs) are extracted from the charging voltage curve, and the fusion HF is optimized using kernel principal component analysis (KPCA) to leverage the complementary advantages of multiple features. Deep Gaussian process regression (DGPR) is employed to address the issue of lacking confidence interval expression in the prediction process. Combined with particle swarm optimization (PSO) and bidirectional long short-term memory (Bi-LSTM) network, fusion models of PSO-DGPR and Bi-LSTM-PSO-DGPR are developed for the prediction of SOH and RUL, respectively. In order to achieve the joint prediction of SOH and RUL, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is utilized to decompose the SOH prediction results, obtaining reliable capacity data for RUL prediction and eliminating local regeneration fluctuations caused by capacity regeneration effects. Furthermore, CALCE and NASA data sets are employed for validation. The experimental results demonstrate a significant reduction in the prediction error, compared to other prediction methods, thereby enhancing the accuracy and reliability of SOH and RUL prediction.</p>","PeriodicalId":599,"journal":{"name":"Ionics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737743","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}
BaBiNb5O15- based oxide ion conductors have shown promise for solid fuel cell applications at medium temperatures. In this study, BaBi0.98Sr0.02Nb5-xTixO15-δ (x = 0.02, 0.04, 0.05, 0.06, 0.08) samples were prepared by the conventional solid-state synthesis with two-step sintering method. The electrical properties and oxygen relaxation behaviors of the BaBi0.98Sr0.02Nb5-xTixO15-δ samples were investigated. With increasing the Ti content, the bulk conductivity of the BaBi0.98Sr0.02Nb5-xTixO15-δ samples showed a trend of increasing first and then decreasing. When the doped Ti content reached 5 mol%, the highest bulk conductivity of BaBi0.98Sr0.02Nb5-xTixO15-δ samples can be got, 5.27 × 10−5 S/cm at 773 K. According to the dielectric relaxation spectroscopy measurement, the BaBi0.98Sr0.02Nb4.95Ti0.05O15-δ sample exhibits the higher moveable oxygen vacancy concentration and mobility of oxygen vacancies. This could be the possible reason that there is the highest bulk conductivity in the BaBi0.98Sr0.02Nb4.95Ti0.05O15-δ sample. Additionally, the influence of sintering temperature on the electrical properties of the BaBi0.98Sr0.02Nb4.95Ti0.05O15-δ compound was investigated. When the BaBi0.98Sr0.02Nb4.95Ti0.05O15-δ sample is sintered at a temperature of 1423 K, it exhibits the best bulk conductivity and total conductivity.
{"title":"Investigation of electrical conductivity and oxygen relaxation behavior for BaBi0.98Sr0.02Nb5-xTixO15-δ ceramics","authors":"Qirui Zou, Xinyu Hu, Shuyao Cao, Weiguo Wang, Xianyu Li, Qinfu Zhao, Fang Kang, Ping Zhang, Lei Chen, Dan Wang, Gangling Hao","doi":"10.1007/s11581-024-05671-6","DOIUrl":"https://doi.org/10.1007/s11581-024-05671-6","url":null,"abstract":"<p>BaBiNb<sub>5</sub>O<sub>15</sub><sub>- </sub>based oxide ion conductors have shown promise for solid fuel cell applications at medium temperatures. In this study, BaBi<sub>0.98</sub>Sr<sub>0.02</sub>Nb<sub>5-<i>x</i></sub>Ti<sub><i>x</i></sub>O<sub>15-δ</sub> (<i>x</i> = 0.02, 0.04, 0.05, 0.06, 0.08) samples were prepared by the conventional solid-state synthesis with two-step sintering method. The electrical properties and oxygen relaxation behaviors of the BaBi<sub>0.98</sub>Sr<sub>0.02</sub>Nb<sub>5-<i>x</i></sub>Ti<sub><i>x</i></sub>O<sub>15-δ</sub> samples were investigated. With increasing the Ti content, the bulk conductivity of the BaBi<sub>0.98</sub>Sr<sub>0.02</sub>Nb<sub>5-<i>x</i></sub>Ti<sub><i>x</i></sub>O<sub>15-δ </sub>samples showed a trend of increasing first and then decreasing. When the doped Ti content reached 5 mol%, the highest bulk conductivity of BaBi<sub>0.98</sub>Sr<sub>0.02</sub>Nb<sub>5-<i>x</i></sub>Ti<sub><i>x</i></sub>O<sub>15-δ</sub> samples can be got, 5.27 × 10<sup>−5</sup> S/cm at 773 K. According to the dielectric relaxation spectroscopy measurement, the BaBi<sub>0.98</sub>Sr<sub>0.02</sub>Nb<sub>4.95</sub>Ti<sub>0.05</sub>O<sub>15-δ</sub> sample exhibits the higher moveable oxygen vacancy concentration and mobility of oxygen vacancies. This could be the possible reason that there is the highest bulk conductivity in the BaBi<sub>0.98</sub>Sr<sub>0.02</sub>Nb<sub>4.95</sub>Ti<sub>0.05</sub>O<sub>15-<i>δ</i></sub> sample. Additionally, the influence of sintering temperature on the electrical properties of the BaBi<sub>0.98</sub>Sr<sub>0.02</sub>Nb<sub>4.95</sub>Ti<sub>0.05</sub>O<sub>15-<i>δ</i></sub> compound was investigated. When the BaBi<sub>0.98</sub>Sr<sub>0.02</sub>Nb<sub>4.95</sub>Ti<sub>0.05</sub>O<sub>15-<i>δ</i></sub> sample is sintered at a temperature of 1423 K, it exhibits the best bulk conductivity and total conductivity.</p>","PeriodicalId":599,"journal":{"name":"Ionics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737406","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}
MXenes are a kind of novel and interesting new materials, and carbon dots (CDs) are also concerned because of their processability, versatility, environmental protection, and low cost. Both MXenes and CDs are chemically stable and have a large surface area and high electrical conductivity, which are promising alternative electrode materials for supercapacitors. Moreover, MnO2 can also improve the energy density of the electrode materials. In this paper, Ti3C2Tx/CDs and Ti3C2Tx/CDs@MnO2 were prepared by a hydrothermal method and their supercapacitor performance were also investigated by a series of electrochemical methods. From the CV profile in a three-electrode system, Ti3C2Tx/CDs@MnO2 electrode exhibited a high specific capacitance of 281.3 F g−1 at a scan rate of 5 mV s−1, which was higher than that of Ti3C2Tx/CDs (160.3 F g−1). Ti3C2Tx/CDs showed a good cycling stability with a capacitance retention of 82.38% after 10,000 cycles. Meanwhile, a symmetric supercapacitor was successfully assembled using Ti3C2Tx/CDs@MnO2 as electrodes, with an energy density of 5.77 Wh kg−1 at a corresponding power density of 120 W kg−1. This work offers a theoretical foundation and a technological path for synthesizing highly effective ternary composite of MXene-based as energy storage materials.
二氧化二烯是一种新颖有趣的新材料,而碳点(CD)也因其可加工性、多功能性、环保性和低成本而备受关注。MXenes 和 CD 化学性质稳定,具有大表面积和高导电性,是很有前途的超级电容器替代电极材料。此外,MnO2 还能提高电极材料的能量密度。本文采用水热法制备了Ti3C2Tx/CDs和Ti3C2Tx/CDs@MnO2,并通过一系列电化学方法研究了它们的超级电容器性能。从三电极体系的 CV 曲线来看,Ti3C2Tx/CDs@MnO2 电极在 5 mV s-1 的扫描速率下表现出较高的比电容,达到 281.3 F g-1,高于 Ti3C2Tx/CDs 的 160.3 F g-1。Ti3C2Tx/CDs 具有良好的循环稳定性,在 10,000 次循环后电容保持率为 82.38%。同时,以 Ti3C2Tx/CDs@MnO2 为电极成功组装了一个对称超级电容器,其能量密度为 5.77 Wh kg-1,相应的功率密度为 120 W kg-1。这项工作为合成以 MXene 为基础的高效三元复合储能材料提供了理论基础和技术途径。
{"title":"Ti3C2Tx/CDs@MnO2 composite as electrode materials for supercapacitors: synthesis and electrochemical performance","authors":"Tianwang Li, Xiaosong Wei, Yalin Zhang, Yanqing Cai, Xinggang Chen, Ying Xu","doi":"10.1007/s11581-024-05707-x","DOIUrl":"https://doi.org/10.1007/s11581-024-05707-x","url":null,"abstract":"<p>MXenes are a kind of novel and interesting new materials, and carbon dots (CDs) are also concerned because of their processability, versatility, environmental protection, and low cost. Both MXenes and CDs are chemically stable and have a large surface area and high electrical conductivity, which are promising alternative electrode materials for supercapacitors. Moreover, MnO<sub>2</sub> can also improve the energy density of the electrode materials. In this paper, Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub>/CDs and Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub>/CDs@MnO<sub>2</sub> were prepared by a hydrothermal method and their supercapacitor performance were also investigated by a series of electrochemical methods. From the CV profile in a three-electrode system, Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub>/CDs@MnO<sub>2</sub> electrode exhibited a high specific capacitance of 281.3 F g<sup>−1</sup> at a scan rate of 5 mV s<sup>−1</sup>, which was higher than that of Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub>/CDs (160.3 F g<sup>−1</sup>). Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub>/CDs showed a good cycling stability with a capacitance retention of 82.38% after 10,000 cycles. Meanwhile, a symmetric supercapacitor was successfully assembled using Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub>/CDs@MnO<sub>2</sub> as electrodes, with an energy density of 5.77 Wh kg<sup>−1</sup> at a corresponding power density of 120 W kg<sup>−1</sup>. This work offers a theoretical foundation and a technological path for synthesizing highly effective ternary composite of MXene-based as energy storage materials.</p>","PeriodicalId":599,"journal":{"name":"Ionics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737740","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 : 2024-07-19DOI: 10.1007/s11581-024-05713-z
Dheeraj Yadav, Renuka Gahlawat, Rajni Shukla
Spinel cobalt ferrite (CoFe2O4) nanoparticles have garnered significant interest due to their versatile properties and potential applications. Among the various factors influencing their properties, annealing temperature stands out as a crucial parameter. In this comprehensive analysis, we studied the effects of various annealing temperatures (400, 500, 600, and 700 °C) on the structural, optical, morphological, magnetic, and photocatalytic characteristics of CoFe2O4 nanoparticles. X-ray powder diffraction (XRD) studies reveal the crystalline structure of CoFe2O4 nanoparticles. The crystallite size was increased from 13.544 nm to 20.312 nm with the increasing annealing temperature from 400 to 700 °C. The effect of annealing temperature on cationic-anionic interaction of the nanomaterials is studied through Fourier transform infrared spectroscopy (FTIR). Morphological and elemental composition of the nanomaterials is evaluated through Field Effect Scanning electron microscopy (FESEM) and energy dispersive spectroscopy (EDS). Changes in annealing temperature lead to variations in particle size, morphology, and surface area, influencing their catalytic activity. UV–visible spectroscopy (UV–Vis) and photoluminiscene spectroscopy (PL) were employed to investigate the optical properties of CoFe2O4 nanoparticles. Annealing temperature variation influences the band gap energy, affecting the absorption and emission properties of the nanoparticles. Tauc’s plot was employed to obtain the band gap of the nanomaterials. The band gap was decreased from 2.33 eV to 1.92 eV with rise in annealing temperature. An emission peak at 465.80 nm was observed through PL spectroscopy. The magnetic properties of CoFe2O4 nanoparticles, including saturation magnetization and coercivity, are examined using a vibrating sample magnetometer (VSM). The sample annealed at 400 °C has shown highest magnetic parameters with saturation magnetization, coercivity, and remanent magnetization of 51.53 emu/g, 1860 Oe, and 17.5 emu/g respectively. Annealing temperature variation alters the magnetic behavior, affecting the nanoparticles' utility in magnetic and photocatalytic applications. The photocatalytic performance of CoFe2O4 nanoparticles is examined through degradation of methylene blue dye under UV–Visible irradiation. The sample annealed at 400 °C exhibited the highest photocatalytic efficiency, achieving 74.46% discoloration. The involvement of hydroxyl ion (OH−) and singlet oxygen ion (O2−) was verified through a Scavenger test using Isopropyl Alcohol (IPA) and Disodium Ethylenediaminetetraacetic Acid (EDTA 2NA), respectively. The kinetics of dye removal was analyzed using various rate models. Additionally, the material's stability was evaluated by calculating its recycling efficiency over four successive cycles.
{"title":"A comprehensive analysis of the impact of annealing temperature variation on the structural, optical, morphological, magnetic, and photocatalytic properties of CoFe2O4 nanoparticles","authors":"Dheeraj Yadav, Renuka Gahlawat, Rajni Shukla","doi":"10.1007/s11581-024-05713-z","DOIUrl":"https://doi.org/10.1007/s11581-024-05713-z","url":null,"abstract":"<p>Spinel cobalt ferrite (CoFe<sub>2</sub>O<sub>4</sub>) nanoparticles have garnered significant interest due to their versatile properties and potential applications. Among the various factors influencing their properties, annealing temperature stands out as a crucial parameter. In this comprehensive analysis, we studied the effects of various annealing temperatures (400, 500, 600, and 700 °C) on the structural, optical, morphological, magnetic, and photocatalytic characteristics of CoFe<sub>2</sub>O<sub>4</sub> nanoparticles. X-ray powder diffraction (XRD) studies reveal the crystalline structure of CoFe<sub>2</sub>O<sub>4</sub> nanoparticles. The crystallite size was increased from 13.544 nm to 20.312 nm with the increasing annealing temperature from 400 to 700 °C. The effect of annealing temperature on cationic-anionic interaction of the nanomaterials is studied through Fourier transform infrared spectroscopy (FTIR). Morphological and elemental composition of the nanomaterials is evaluated through Field Effect Scanning electron microscopy (FESEM) and energy dispersive spectroscopy (EDS). Changes in annealing temperature lead to variations in particle size, morphology, and surface area, influencing their catalytic activity. UV–visible spectroscopy (UV–Vis) and photoluminiscene spectroscopy (PL) were employed to investigate the optical properties of CoFe<sub>2</sub>O<sub>4</sub> nanoparticles. Annealing temperature variation influences the band gap energy, affecting the absorption and emission properties of the nanoparticles. Tauc’s plot was employed to obtain the band gap of the nanomaterials. The band gap was decreased from 2.33 eV to 1.92 eV with rise in annealing temperature. An emission peak at 465.80 nm was observed through PL spectroscopy. The magnetic properties of CoFe<sub>2</sub>O<sub>4</sub> nanoparticles, including saturation magnetization and coercivity, are examined using a vibrating sample magnetometer (VSM). The sample annealed at 400 °C has shown highest magnetic parameters with saturation magnetization, coercivity, and remanent magnetization of 51.53 emu/g, 1860 Oe, and 17.5 emu/g respectively. Annealing temperature variation alters the magnetic behavior, affecting the nanoparticles' utility in magnetic and photocatalytic applications. The photocatalytic performance of CoFe<sub>2</sub>O<sub>4</sub> nanoparticles is examined through degradation of methylene blue dye under UV–Visible irradiation. The sample annealed at 400 °C exhibited the highest photocatalytic efficiency, achieving 74.46% discoloration. The involvement of hydroxyl ion (OH<sup>−</sup>) and singlet oxygen ion (O<sub>2</sub><sup>−</sup>) was verified through a Scavenger test using Isopropyl Alcohol (IPA) and Disodium Ethylenediaminetetraacetic Acid (EDTA 2NA), respectively. The kinetics of dye removal was analyzed using various rate models. Additionally, the material's stability was evaluated by calculating its recycling efficiency over four successive cycles.</p","PeriodicalId":599,"journal":{"name":"Ionics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737741","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}