IonicsPub Date : 2025-03-27DOI: 10.1007/s11581-025-06247-8
Yingying Wang, Jie Ding, Taotao Tu
{"title":"An improved unscented Kalman filter for SOC estimation of lithium-ion batteries based on fractional-order model","authors":"Yingying Wang, Jie Ding, Taotao Tu","doi":"10.1007/s11581-025-06247-8","DOIUrl":"10.1007/s11581-025-06247-8","url":null,"abstract":"<div><p>Traditional state of charge (SOC) estimation methods, such as Thevenin equivalent circuit models, face limitations in capturing the dynamic behavior of lithium-ion batteries, particularly in terms of impedance and internal electrochemical processes. This paper presents a fractional-order equivalent circuit model that improves on the Thevenin model by substituting an ideal capacitor with a fractional-order capacitor, enabling more accurate representation of battery reactions. A fractional-order particle swarm optimization algorithm with dynamic inertia weights is used for parameter identification, enhancing the model’s ability to reflect actual battery dynamics. The fractional-order unscented Kalman filter (FUKF) manages nonlinearities and uncertainties in SOC estimation, while an integrated sliding mode observer boosts robustness against disturbances and model inaccuracies. Experimental results show that the improved FUKF (IFUKF) achieves superior SOC estimation accuracy. Under UDDS conditions, it reaches a mean absolute error of 0.65%, a root mean square error of 0.69%, and a maximum error of 0.88%. Under DST conditions, the mean absolute error is 0.71%, the root mean square error is 0.73%, and the maximum error is 0.97%.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 5","pages":"4281 - 4298"},"PeriodicalIF":2.4,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074219","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}
{"title":"Structural stability and redox activity modulation of O3-type layered transition metal oxides by lithium-ion doping for high-performance sodium-ion batteries","authors":"Jianxin Zhao, Yanshuang Meng, Dongming Qi, Fuliang Zhu","doi":"10.1007/s11581-025-06259-4","DOIUrl":"10.1007/s11581-025-06259-4","url":null,"abstract":"<div><p>The exploration of cathode materials with stable sodium storage capacity is an important step toward commercializing sodium-ion batteries. Layered oxides are considered ideal cathode materials for sodium-ion batteries due to their high theoretical capacity and low cost. However, harmful phase transitions during charging/discharging and transition metal ion dissolution in layered oxides lead to poor cycling stability and rate performance. To address the problems of layered oxides as electrode materials, in this paper, Na<sub>1.0</sub>Cu<sub>0.20</sub>Fe<sub>0.30</sub>Mn<sub>0.5-x</sub>Li<sub>x</sub>O<sub>2</sub> (<i>x</i> = 0, 0.025, 0.05, 0.075) materials were prepared by using the lithium-ion doping strategy using a solid-phase heating method, which could effectively prevent the Jahn–Teller effect and transition metal ion dissolution. The Li-ion doped modified material exhibits a higher capacity of 110 mAh g<sup>−1</sup> at 0.5 C and excellent cycling stability with about 85% capacity retention after 400 cycles at 0.5 C. This work proposes a strategy of design of O3-type layered transition metal oxide cathodes with a high energy efficiency.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 5","pages":"4321 - 4331"},"PeriodicalIF":2.4,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074127","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}
{"title":"Preparation of boron-doped anthracite coal-based graphite for high performance lithium-ion batteries","authors":"Ruizhi Chu, Jie Zhang, Shuo Li, Jiayun Tang, Ying Feng, Shaobo Chen, Junsheng Zhu, Pengcheng Li, Xianliang Meng","doi":"10.1007/s11581-025-06202-7","DOIUrl":"10.1007/s11581-025-06202-7","url":null,"abstract":"<div><p>In order to enhance the energy density and cycling stability of anode materials for lithium-ion batteries (LIBs), boron-doped anthracite–based graphite anode materials have been developed in this study. Anthracite is an ideal choice for anode materials for LIBs due to its abundant resources and low price. Herein, the synthesis process of anthracite-based graphite materials has been optimized to achieve the modulation of the lattice structure and surface active sites of the materials through boron doping treatment. The effects of boron doping on the lattice structure, apparent morphology, specific capacity, and cycle life of the materials have been investigated by structural and electrochemical characterization. Varying the amount of boron doping can significantly affect the electrochemical properties of boron-doped anthracite-based graphite materials. The first discharge and charge capacities at 500 mA g<sup>−1</sup> for the DCG-6B samples are 370 and 315 mAh g<sup>−1</sup>, respectively, with an initial coulombic efficiency of 85% and a capacity retention of 100% after 500 cycles. Boron doping can resist the volume change during charging/discharging, thus prolonging the cycle life at high current density.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 5","pages":"4041 - 4051"},"PeriodicalIF":2.4,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073669","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}
IonicsPub Date : 2025-03-25DOI: 10.1007/s11581-025-06229-w
Nilesh N. Kengar, Atul D. Teli, Guruprasad A. Bhinge, Chidanand M. Kanamadi
{"title":"Enhanced oxygen evolution reaction (OER) activity in LiMgFe₂O₄: structural, morphological, and magnetic insights","authors":"Nilesh N. Kengar, Atul D. Teli, Guruprasad A. Bhinge, Chidanand M. Kanamadi","doi":"10.1007/s11581-025-06229-w","DOIUrl":"10.1007/s11581-025-06229-w","url":null,"abstract":"<div><p>This work investigates the influence of varying lithium (Li) ion concentrations in magnesium ferrite (MgFe<sub>2</sub>O<sub>4</sub>) on the OER. Li<sub>x</sub>Mg<sub>(1-x)</sub>Fe<sub>2</sub>O<sub>4</sub> materials were synthesized using the solid-state reaction method, and their structural, morphological, and water-splitting behaviours were explored. X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) confirmed the cubic structure and elemental composition of the materials, respectively. The crystallite size increased from 37.65 to 60.35 nm, and the X-ray density decreased from 5.53 to 5.42 g/cm<sup>3</sup> as the molar concentration of lithium ions increased in magnesium ferrite. Fourier transform infrared spectroscopy (FTIR) confirmed the presence of functional groups in the materials. Scanning electron microscopy (SEM) revealed agglomerated nanocrystals of varying sizes on the material’s surface. The magnetic properties of the soft magnetic material is studied by Vibrating sample magnetometer (VSM). The particle size and shape were observed by transmission electron microscopy (TEM). Thin films of the synthesized powder were prepared using the doctor blade method for electrochemical characterization. Electrochemical analysis showed that the synthesized material exhibited an overpotential of 391 mV at a current density of 10 mA/cm<sup>2</sup> for the OER. These findings highlight the tuneable electrocatalytic properties of Li<sub>x</sub>Mg<sub>(1-x)</sub>Fe<sub>2</sub>O<sub>4</sub> and its potential for applications in renewable energy conversion technologies.</p><h3>Graphical Abstract</h3><p>Graphical representation of LiMgFe<sub>2</sub>O<sub>4</sub> for efficient OER</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 5","pages":"4575 - 4589"},"PeriodicalIF":2.4,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073670","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}
{"title":"Molten salt Mg2+/Mg bifunctional system for enhancing graphitization of low-temperature biomass-derived carbon","authors":"Fan Wang, Yuxin Wang, Ziheng Guan, Junjie Wei, Shengliang He, Zhen Zhong, Hao Chen, Peizhong Feng","doi":"10.1007/s11581-025-06235-y","DOIUrl":"10.1007/s11581-025-06235-y","url":null,"abstract":"<div><p>The development of low-temperature graphitization methods for biomass-derived carbon is critical for sustainable lithium-ion battery anodes. Herein, we propose a MgCl<sub>2</sub>–NaCl–KCl molten salt system exploiting the bifunctional role of Mg<sup>2+</sup>/Mg to achieve graphitization at 750 °C. The strong oxygen affinity of Mg<sup>2+</sup> synergizes with electrochemical polarization to rapidly deoxygenate carbon surfaces, while Mg deposition catalyzes the conversion of SiO<sub>2</sub> impurities to conductive SiC (via SiO<sub>2</sub> + 2 Mg → Si + 2MgO; Si + C → SiC) and promotes carbon rearrangement. The resulting graphite/SiC composite exhibits enhanced crystallinity (27% graphitization degree) and electrochemical performance, delivering a capacity of 198 mAh g<sup>−1</sup> at 0.1 A g<sup>−1</sup> and retaining 70.2% capacity after 6000 cycles. In summary, this study fully exploited the strong bonding capability of Mg<sup>2+</sup> with oxygen and the reduction and catalytic properties of deposited Mg. This dual-functional role not only significantly reduced the required temperature for the reaction process (750 °C) but also maintained the graphitization process of biomass-derived carbon at high temperatures (> 750 °C). This method provides a low-cost, low-energy-consumption pathway for the high-value-added application of biomass-derived hard carbon materials in lithium-ion battery graphite anodes. </p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 5","pages":"4421 - 4430"},"PeriodicalIF":2.4,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073945","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}
IonicsPub Date : 2025-03-22DOI: 10.1007/s11581-025-06226-z
Cheng Lou, Shi Wang, Zhaoting Li, Kai Wang
{"title":"Extract features from lithium-ion battery electrochemical impedance spectra and estimate state of health based on improved convolutional autoencoder-temporal convolutional network","authors":"Cheng Lou, Shi Wang, Zhaoting Li, Kai Wang","doi":"10.1007/s11581-025-06226-z","DOIUrl":"10.1007/s11581-025-06226-z","url":null,"abstract":"<div><p>Predicting the state of health (SOH) of batteries is crucial for understanding their remaining lifespan and formulating more effective maintenance and management strategies. Utilizing electrochemical impedance spectroscopy (EIS) to assess the health status of batteries offers advantages such as high precision, rapid response, non-invasiveness, and reliability for accurately forecasting the remaining lifespan of batteries. In this paper, we propose an innovative method combining electrochemical impedance spectroscopy data to efficiently recognize and process complex patterns using deep neural networks by converting EIS into a two-dimensional image format. We have developed an improved convolutional autoencoder (ICAE) optimized to extract key features directly related to battery capacity in 2D EIS images and significantly improve feature characterization. The optimized features are further fed into the temporal convolutional network (TCN) to perform SOH prediction tasks. TCN utilizes its powerful time-dependent capture capability and long sequence memory mechanism to demonstrate superior performance in the field of SOH estimation. Compared with traditional methods, the proposed strategy not only significantly increases the prediction accuracy, but also opens up a new way to understand and analyze the internal relationship between complex time series and image data.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 5","pages":"4261 - 4279"},"PeriodicalIF":2.4,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073948","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}
IonicsPub Date : 2025-03-21DOI: 10.1007/s11581-025-06214-3
Prabhakar Sharma, D. Banerjee
{"title":"Tuning the ionic conductivity of pectin biopolymer film via sodium azide reinforcement for possible electrochemical applications","authors":"Prabhakar Sharma, D. Banerjee","doi":"10.1007/s11581-025-06214-3","DOIUrl":"10.1007/s11581-025-06214-3","url":null,"abstract":"<div><p>This study presents the synthesis of a pectin biopolymer through an acidic extraction process from natural sources and the development of a conducting electrolyte film with enhanced conductivity via sodium azide reinforcement into it. The pure and modified self-standing polymer films were characterized using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and polarized optical microscopy (POM). XRD analysis confirmed proper phase formation and revealed a monotonic reduction in polymer crystallinity with increasing salt content, which was further supported by POM micrographs. FTIR analysis verified the presence of organic functional groups, showing no significant changes in vibrational energy levels upon salt incorporation. Electrochemical characterization using cyclic voltammetry, linear sweep voltammetry, and electrochemical impedance spectroscopy demonstrated that the strong interaction between sodium azide and the pectin biopolymer significantly enhanced ionic conductivity and stability. It has been shown that upon optimized salt incorporation conductivity of the polymer got enhanced almost four orders. These findings underscore the potential of sodium azide-reinforced pectin films as a viable material for advanced energy storage and conversion devices, offering a promising pathway for future applications in electrochemical systems.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 5","pages":"4393 - 4404"},"PeriodicalIF":2.4,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074121","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}
IonicsPub Date : 2025-03-20DOI: 10.1007/s11581-025-06224-1
Yaya Wang, Sanfeng Dong, Zongmin Hao, Liming Zheng, Juan Zhang
{"title":"In situ growth C/MnO2 composites as sulfur host for lithium-sulfur batteries with superior electrochemical behaviors","authors":"Yaya Wang, Sanfeng Dong, Zongmin Hao, Liming Zheng, Juan Zhang","doi":"10.1007/s11581-025-06224-1","DOIUrl":"10.1007/s11581-025-06224-1","url":null,"abstract":"<div><p>To suppress the shuttle effect of polysulfide in lithium-sulfur batteries, the design of sulfur hosts with physical and chemical adsorption ability has become a hot research topic. In this paper, we propose a strategy to develop carbon/MnO<sub>2</sub> composites as sulfur host in lithium-sulfur batteries. The MnO<sub>2</sub> particles are in situ grown on the surface of the carbon materials. On the one hand, the carbon could provide physical adsorption for polysulfide and improve the electronic conductivity. On the other hand, the metal oxide MnO<sub>2</sub> can provide strong chemical adsorption during the electrochemical cycles. As a result, the as-prepared C/MnO<sub>2</sub>@S composites exhibit high capacity and stable cycling performance. After 300 cycles, the discharge specific capacity of C/MnO<sub>2</sub>@S cathode is 752 mAh g<sup>−1</sup> at high rate of 2 C.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 5","pages":"4187 - 4193"},"PeriodicalIF":2.4,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074176","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}
IonicsPub Date : 2025-03-20DOI: 10.1007/s11581-025-06227-y
Luigi d’Apolito, Tianwei Gu, Hanchi Hong, Wenbo Zhang, Shuiwen Shen
{"title":"State of charge evaluation of lithium-ion batteries under wide temperature range using multi-feature ultrasonic indicators","authors":"Luigi d’Apolito, Tianwei Gu, Hanchi Hong, Wenbo Zhang, Shuiwen Shen","doi":"10.1007/s11581-025-06227-y","DOIUrl":"10.1007/s11581-025-06227-y","url":null,"abstract":"<div><p>The state of charge (SOC) of the battery, as a core parameter in the Battery Management System (BMS), directly affects the battery performance, lifespan, and safety. Traditional rudimentary methods such as interpolation and time-history integration of on-board collected data, utilized in the form of SOC-OCV lookup and coulomb counting, are generally not highly accurate because of changes in temperature and current, sensor measurement errors or difference between battery open circuit voltage and terminal voltage. Other strategies rely on models of battery dynamics, requiring physical and electrochemical models, but they disregard the internal structure and the mechanical evolution of the battery during charging and discharging. In response to the limitations of existing SOC estimation methods, this study proposes a lithium-ion battery SOC estimation method based on ultrasonic multi-feature indicators under different environmental temperature conditions. The method first acquires the acoustic response of the battery internal structure through non-destructive ultrasonic testing technology, then extracts key feature parameters from three dimensions: time domain, frequency domain, and time–frequency domain. Subsequently, the hyperparameters of the XGBoost model were optimized using the Whale Optimization Algorithm (WOA) to improve its predictive accuracy and robustness. Experimental validation has shown that the proposed WOA-XGBoost model exhibits superior performance in SOC estimation, with a root mean square error (RMSE) lower than other comparative models. Additionally, this study explores the impact of different feature parameter combinations on the estimation effect, further confirming the importance of multi-dimensional feature parameters in improving the accuracy of SOC estimation.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 5","pages":"4239 - 4260"},"PeriodicalIF":2.4,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074177","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}
{"title":"Review of mechanisms and detection methods of internal short circuits in lithium-ion batteries","authors":"Wei Luo, Shunshun Zhang, Yifang Gao, Chongchong Shen","doi":"10.1007/s11581-025-06211-6","DOIUrl":"10.1007/s11581-025-06211-6","url":null,"abstract":"<div><p>The safety of lithium-ion batteries is one of the bottlenecks restricting the large-scale application of the new energy industry. This paper begins by identifying battery failures as the main cause of vehicle malfunctions and reviews relevant domestic and international literature on internal battery short circuits. An index analysis map of the internal short circuit literature is established. From the cascade reaction mechanism that typical failures such as internal short-circuit and lithium precipitation evolve into thermal runaway, the paper explores three triggering methods: traditional experiments, novel experiments and computer simulations. Finally, the coupling mecha-nism of lithium dendrite growth and mechanical abuse on the chain reaction of internal short-circuit-thermal runaway is systematically explained. The paper systematically summarizes the detection methods for lithium deposition and thermal runaway, which helps to enhance the overall safety of battery systems. This provides a solid theoretical foundation for optimizing safety early warning schemes to-wards the goals of speed, accuracy, and stability.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 5","pages":"3945 - 3964"},"PeriodicalIF":2.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073664","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}