IF 2.6 4区化学

Ionics Pub Date : 2025-06-06 DOI: 10.1007/s11581-025-06445-4

Chenxiang Gao, Hengpu Zhang, Xiangpan Hu, Xiaoyan Ma

{"title":"In situ generating poly ionic liquid composite electrolytes supported by mesoporous silica–modified PP separator enabling stable lithium-ion batteries","authors":"Chenxiang Gao, Hengpu Zhang, Xiangpan Hu, Xiaoyan Ma","doi":"10.1007/s11581-025-06445-4","DOIUrl":"10.1007/s11581-025-06445-4","url":null,"abstract":"<div><p>Solid polymer electrolytes (SPEs) are flexible and safer, but inferior ionic conductivity, electrode/electrolyte interface and mechanical strength limit their use for lithium-ion batteries. Herein, we design and prepare a high ionic conductivity, low internal resistance, stable SPE by in situ polymerization of vinylene carbonate and 1-vinyl-3-pentyl cyano imidazole (trifluoromethanesulfonyl) imide in the mesoporous silica-modified polypropylene separators. Mesoporous silica modified polypropylene separators could efficiently adsorb polymer precursor before in-suit polymerization and inhibit lithium dendrite growth during cycling, improving the mechanical strength of SPEs. The poly ionic liquid with many polar groups could effectively promote the dissociation of lithium salts, while its crosslinked network provides Li<sup>+</sup> transport channels to facilitate the migration of Li<sup>+</sup>. Meanwhile, in situ polymerization leads to robust electrode/electrolyte interfaces, which reduce the internal resistance and improve the stability of batteries. The optimized SPE (KCE) has a room temperature ionic conductivity of 8.04 × 10<sup>−4</sup> S cm<sup>−1</sup> and an electrochemical window of 4.5 V. Assembled Li//KCE//Li cell could run stably at a current density of 0.1 mA cm<sup>−2</sup> for 1000 h. Furthermore, the capacity retention rate of LFP//KCE//Li battery after 500 cycles can maintain over 90% and NCM811//KCE//Li battery shows a capacity retention rate of 86.5% after 100 cycles. The LFP//KCE//Li soft pack battery can light an LED bulb and has an open circuit voltage of 2.95 V, showing great potential in the flexibility field. This work provides a workable strategy for improving the performance of solid polymer electrolytes.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 8","pages":"7773 - 7783"},"PeriodicalIF":2.6,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162636","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}

引用次数: 0

State of health estimation of lithium-ion batteries based on the fusion of aging feature extraction and SSA-ELM machine learning algorithms 基于老化特征提取与SSA-ELM机器学习算法融合的锂离子电池健康状态估计

IF 2.6 4区化学

Ionics Pub Date : 2025-06-06 DOI: 10.1007/s11581-025-06454-3

Yiwei Fan, Haonan Yang, Congjin Ye, Wen Yang, Satyam Panchal, Roydon Fraser, Michael Fowler, Huifang Dong

{"title":"State of health estimation of lithium-ion batteries based on the fusion of aging feature extraction and SSA-ELM machine learning algorithms","authors":"Yiwei Fan, Haonan Yang, Congjin Ye, Wen Yang, Satyam Panchal, Roydon Fraser, Michael Fowler, Huifang Dong","doi":"10.1007/s11581-025-06454-3","DOIUrl":"10.1007/s11581-025-06454-3","url":null,"abstract":"<div><p>The battery data from the existing publicly available dataset was measured under uninterrupted charge/discharge experiments. The aging experiment did not give the battery enough resting time, and the polarization phenomenon still exists inside the battery. Because of the presence of polarization phenomenon, the internal battery has not reached the equilibrium state, which affects the accuracy of subsequent data collection. In this paper, by analyzing the strength of the polarization phenomenon after charging and discharging, we choose to obtain relevant features from the data of the discharging process. A state of health (SOH) estimation method based on the fusion of sparrow search algorithm (SSA) and extreme learning machine (ELM) is proposed. For the parameter setting problem in the ELM model, this paper proposes parameter optimization using SSA. The model is validated by two different training methods using NASA and CACLE datasets, and compared with other common machine learning algorithms. The experimental results show that the method has high prediction accuracy for different types and experimental conditions of cells. Compared with other methods, the prediction errors of all the methods in this paper are less than 1%, and all three error indicators are lower than other comparison methods.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 8","pages":"7897 - 7915"},"PeriodicalIF":2.6,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162639","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}

引用次数: 0

Development of the ionic conductor-mayenite Ca12Al14O33 离子导体Ca12Al14O33的研制

IF 2.6 4区化学

Ionics Pub Date : 2025-06-06 DOI: 10.1007/s11581-025-06446-3

Xia Deng, Jungu Xu

引用次数: 0

Synthesis and characterization of biopolymer pectin: zinc nitrate for primary zinc battery application 原锌电池用生物聚合物果胶硝酸锌的合成与表征

IF 2.6 4区化学

Ionics Pub Date : 2025-06-06 DOI: 10.1007/s11581-025-06447-2

Eswaragomathy S, Selvanayagam S, Kamatchi Devi S, Selvasekarapandian S, Muniraj Vignesh N, Aafrin Hazaana S, Meera Naachiyar R

{"title":"Synthesis and characterization of biopolymer pectin: zinc nitrate for primary zinc battery application","authors":"Eswaragomathy S, Selvanayagam S, Kamatchi Devi S, Selvasekarapandian S, Muniraj Vignesh N, Aafrin Hazaana S, Meera Naachiyar R","doi":"10.1007/s11581-025-06447-2","DOIUrl":"10.1007/s11581-025-06447-2","url":null,"abstract":"<div><p>The application of biopolymer electrolytes instead of synthetic polymer electrolytes has been pursued for the development of environmentally friendly and safer electrochemical energy systems, owing to the biodegradability, biocompatibility, and non-toxic characteristics of biopolymer electrolytes. In this research, a membrane composed of pectin and Zn(NO<sub>3</sub>)<sub>2</sub>·6H<sub>2</sub>O is fabricated using solution casting method and characterized through various techniques. The amorphous property of the biopolymer is studied using X-ray diffraction (XRD). The membrane with a composition of 50% pectin and 50% Zn(NO<sub>3</sub>)<sub>2</sub>·6H<sub>2</sub>O shows the highest degree of amorphous nature. Fourier-transform infrared spectroscopy (FTIR) studies confirm the formation of a polymer-salt complex. The highest ionic conductivity of the pectin and Zn(NO<sub>3</sub>)<sub>2</sub>·6H<sub>2</sub>O mixture at a 50:50 ratio is measured to be 7.29 × 10<sup>−3</sup> S/cm using AC impedance spectroscopy. The membrane demonstrating the highest zinc ion conductivity shows the lowest glass transition temperature of 50.98 ℃, as determined by differential scanning calorimetry (DSC) technique. The electrochemical window of the highest ion conducting membrane is found to be 1.9 V, as assessed by linear sweep voltammetry (LSV). A primary zinc ion conducting battery is constructed, and the output voltage of the assembled battery is determined to be 1.86 V. The performance of the primary zinc ion battery is measured under various load conditions.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 8","pages":"8137 - 8150"},"PeriodicalIF":2.6,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162637","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}

引用次数: 0

India’s role in advancing sodium-ion battery technology: a bibliometric study 印度在推进钠离子电池技术方面的作用：文献计量学研究

IF 2.6 4区化学

Ionics Pub Date : 2025-06-06 DOI: 10.1007/s11581-025-06449-0

Peeyush Phogat, Subhadeepa Dey, Meher Wan

引用次数: 0

Unveiling a new type of boron-doped carbon sheets as an anode for Calcium-ion batteries 揭示了一种新型的硼掺杂碳片作为钙离子电池的阳极

IF 2.6 4区化学

Ionics Pub Date : 2025-06-05 DOI: 10.1007/s11581-025-06423-w

Maher Ali Rusho, Abdulrahman T. Ahmed, Prakash Kanjariya, Suhas Ballal, Abhayveer Singh, S Supriya, Subhashree Ray, Muntadher Kadhum Sultan, Hassan Abdulhadi Jasim, Hamad M. Alkahtani

{"title":"Unveiling a new type of boron-doped carbon sheets as an anode for Calcium-ion batteries","authors":"Maher Ali Rusho, Abdulrahman T. Ahmed, Prakash Kanjariya, Suhas Ballal, Abhayveer Singh, S Supriya, Subhashree Ray, Muntadher Kadhum Sultan, Hassan Abdulhadi Jasim, Hamad M. Alkahtani","doi":"10.1007/s11581-025-06423-w","DOIUrl":"10.1007/s11581-025-06423-w","url":null,"abstract":"<div><p>Calcium-ion batteries (CIBs) are gaining attention as a viable substitute for lithium-ion batteries (LIBs) because of their enhanced safety characteristics and economical nature. This study employed density functional theory computations to examine suitability of boron-doped carbon sheets (BC<sub>x</sub>, where x equals 2) as a desirable anode material for CIBs. BC<sub>x</sub> material possesses a significantly porous configuration and exhibits a stronger propensity for Ca-ions to bond to its vacant sites. Parameters such as diffusion energy barrier (DEB), theoretical specific capacity (TSC), open-circuit voltage (OCV), and partial density of states have been computed and subsequently analyzed and discussed. Furthermore, the developed anode material exhibited complete saturation with seven Ca-ions distributed across various active sites. This observation suggests a substantial TSC of 1359 mAh g<sup>−1</sup> along with a minimal OCV of 0.39 V. Inclusion of a B<sub>2</sub>C<sub>4</sub> ring, which exhibited a DEB of 0.15 eV, significantly enhanced mobility of Ca-ions. Consequently, BC<sub>x</sub> emerges as a viable candidate for anode material in CIBs, offering advantages such as prolonged cycle life, rapid charge–discharge rates, and its favorable attributes of low OCV and DEB. Additionally, its theoretical specific capacity value remains high, further contributing to its suitability for CIB applications.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 8","pages":"8111 - 8119"},"PeriodicalIF":2.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162421","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}

引用次数: 0

Lithium-ion batteries SOE estimation via SSA-optimized transformer coupled with extended Kalman filter 基于ssa优化变压器和扩展卡尔曼滤波的锂离子电池SOE估计

IF 2.6 4区化学

Ionics Pub Date : 2025-06-05 DOI: 10.1007/s11581-025-06415-w

Yikun Li, Jinghan Bai, Linqi Zhu, Lu Lv, Lujun Wang

{"title":"Lithium-ion batteries SOE estimation via SSA-optimized transformer coupled with extended Kalman filter","authors":"Yikun Li, Jinghan Bai, Linqi Zhu, Lu Lv, Lujun Wang","doi":"10.1007/s11581-025-06415-w","DOIUrl":"10.1007/s11581-025-06415-w","url":null,"abstract":"<div><p>State of Energy (SOE) represents one of the most critical state parameters in battery management systems. Due to its inherent nonlinear characteristics, accurate estimation of SOE remains a significant challenge in this domain. This research proposes a novel lithium-ion battery SOE estimation methodology that integrates a Transformer network optimized by sparrow search algorithm (SSA-Transformer) with extended Kalman filter (EKF). The SSA algorithm, characterized by its unique producer-scout mechanism and defensive awareness behavior simulation, exhibits superior performance in global search capability and convergence efficiency. In comparison with the conventional particle swarm optimization (PSO) algorithm, SSA demonstrates enhanced capability to escape local optima and accelerated convergence rates, while simultaneously reducing the complexity of manual parameter tuning. The proposed SSA-Transformer-EKF methodology has been validated under various temperature conditions through neural network (NN) and Urban Dynamometer Driving Schedule (UDDS) operational profiles, with mean absolute error (MAE) and root mean square error (RMSE) constrained within 0.6% and 0.8% respectively, thus achieving high-precision real-time estimation. Relative to traditional Transformer and comparable algorithms, the proposed SSA-Transformer-EKF algorithm exhibits superior SOE prediction performance, with average RMSE and MAE values of 0.518% and 0.422%, respectively. Furthermore, at elevated temperatures of 45 °C, the algorithm maintains robust performance with average RMSE and MAE values of 0.523% and 0.442%, further substantiating that the SSA-Transformer-EKF model possesses exceptional fitting capability and generalization performance across diverse operational conditions.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 8","pages":"7881 - 7896"},"PeriodicalIF":2.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162300","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}

引用次数: 0

Fabrication of hollow C/Si nanofibers as binder-free anodes for lithium-ion batteries 锂离子电池无粘结剂负极中空C/Si纳米纤维的制备

IF 2.6 4区化学

Ionics Pub Date : 2025-06-05 DOI: 10.1007/s11581-025-06444-5

Longlong Fan, Yunfei Wang, Ze Sun, Xiaolei Sun, Li Qiao

引用次数: 0

SOH estimation of lithium battery based on improved quantum particle swarm optimization hybrid neural network 基于改进量子粒子群优化混合神经网络的锂电池SOH估计

IF 2.6 4区化学

Ionics Pub Date : 2025-06-04 DOI: 10.1007/s11581-025-06439-2

Kangkang Xu, Jianhui Yu, Chengjiu Zhu

{"title":"SOH estimation of lithium battery based on improved quantum particle swarm optimization hybrid neural network","authors":"Kangkang Xu, Jianhui Yu, Chengjiu Zhu","doi":"10.1007/s11581-025-06439-2","DOIUrl":"10.1007/s11581-025-06439-2","url":null,"abstract":"<div><p>Accurate prediction of the State of Health (SOH) of batteries is crucial for ensuring their long-term safe and effective operation. Aiming at the challenges faced in the SOH prediction research of lithium batteries, such as the limited processing of health features, the stochastic nature of the attention allocation, and the scientific nature of model hyperparameter settings, this paper proposes an improved quantum particle swarm optimization hybrid neural network for SOH estimation of lithium batteries. Firstly, health features are extracted from multiple dimensions such as voltage, current, temperature, and incremental capacity. Secondly, the importance indicators of these features are calculated and optimally ranked by fusing the random forest algorithm and the mutual information approach, and the obtained low-importance features are downscaled to obtain the indirect health features, which are inputted into the squeeze-excitation attention enhanced convolutional neural network along with the high-importance features to sufficiently extract features. Subsequently, the bidirectional long short-term memory neural network is used to fully extract long-term dependencies. Finally, the improved quantum particle swarm is used for hyperparameter optimization to achieve global optimization. The proposed method has been verified to have superior predictive performance using the NASA and Oxford battery datasets. Experimental results show that the mean absolute error, mean absolute percentage error, and root mean square error of the proposed method are within 1.5% and 0.8% in the two datasets, respectively, far lower than other methods, and have a high accuracy of SOH estimation. Therefore, the proposed method is expected to be an effective information guide for battery health management.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 8","pages":"7863 - 7880"},"PeriodicalIF":2.6,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161628","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}

引用次数: 0

Cellulose-based quasi-solid electrolytes for dye-sensitized solar cell: a mini review 染料敏化太阳能电池用纤维素基准固体电解质：综述

IF 2.6 4区化学

Ionics Pub Date : 2025-06-04 DOI: 10.1007/s11581-025-06435-6

Maneesh Kumar, Praveen K. Surolia, Gayatri Prasad

{"title":"Cellulose-based quasi-solid electrolytes for dye-sensitized solar cell: a mini review","authors":"Maneesh Kumar, Praveen K. Surolia, Gayatri Prasad","doi":"10.1007/s11581-025-06435-6","DOIUrl":"10.1007/s11581-025-06435-6","url":null,"abstract":"<div><p>Recently, solar energy has received considerable momentum, predominantly in the dominance of its consistency in electricity. In a new generation, solar devices are fabricated by harnessing organic and inorganic materials to optimize their solar energy-capturing tendency. Among them, dye-sensitized solar cells (DSSC) have emerged as a fundamental device, showcasing for the first time how semiconductors, accompanied by organic and organometallic dyes, can enable solar energy conversion. However, a better way to create DSSC technology is backed by the progress of efficient perovskite solar cells, which show good solar energy conversion and long-lasting stability and reliability. However, DSSC offers unique advantages such as cost-effective production, flexibility, and appropriate suitability for wearable devices, which contribute to significant energy conversion efficiencies. This DSSC has shown vulnerability, including electrolyte volatilization and long-term operational stability, but its scientific values have declined. Thus, the scientific community has been ready to fabricate a quasi-solid electrolyte assembly. This review explores the use of biomaterials, specifically cellulose-based materials, as a replacement for traditional polymer electrolytes derived from petrochemicals. Cellulose emerges as an ideal candidate, permitting huge mechanical support and improving the redox couple’s functionality. When a DSSC device is fabricated using cellulose-based quasi-solid electrolytes, it addresses the key issues, including liquid electrolyte volatilization and long-term operational stability. This article advocates the incorporation of biomaterials for fabricating DSSC devices, highlighting their utility to boost efficiency and endorse environmental sustainability.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 7","pages":"6719 - 6729"},"PeriodicalIF":2.6,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161810","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}

引用次数: 0

Ionics最新文献