IonicsPub Date : 2025-08-04DOI: 10.1007/s11581-025-06473-0
Kayelvily Sadaiyandy, Shahid Bashir, M. Pershaanaa, V. N. Elill, Kavvinah Murali, Sachin Sharma Ashok Kumar, Khadija Hasan, T. Prasankumar, S. Ramesh, K. Ramesh
{"title":"A review on redox hydrogel electrolyte for energy storage devices","authors":"Kayelvily Sadaiyandy, Shahid Bashir, M. Pershaanaa, V. N. Elill, Kavvinah Murali, Sachin Sharma Ashok Kumar, Khadija Hasan, T. Prasankumar, S. Ramesh, K. Ramesh","doi":"10.1007/s11581-025-06473-0","DOIUrl":"10.1007/s11581-025-06473-0","url":null,"abstract":"<div><p>Redox hydrogel electrolytes have emerged as promising materials for next-generation energy storage systems due to their superior ionic conductivity, mechanical flexibility, and compatibility with a broad range of redox-active species. By combining the structural integrity of solid electrolytes with the efficient ion transport of liquid systems, these hydrogels offer a compelling route to improve the performance and safety of batteries and supercapacitors. This review critically explores the fundamentals of electrochemical energy storage, emphasizing the operating mechanisms of batteries and supercapacitors and the pivotal role of electrolytes in determining device efficiency and longevity. Special focus is given to hydrogel electrolytes, especially redox hydrogel, highlighting their potential to enhance electrochemical performance, extend device lifespan, and reduce environmental and production costs. Recent advancements involve the tailored synthesis of hydrogel matrices and the incorporation of redox-active species to fine-tune ionic mobility and stability. Despite progress, challenges persist in optimizing formulations, understanding ion transport, and scaling up the fabrication. Emerging techniques such as 3D printing and freeze-drying show promise in improving electrolyte architecture and electrode compatibility. Continued innovations in materials design and characterization will be the key to unlocking the full potential of redox hydrogel electrolytes in sustainable, high-performance energy storage technologies.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 9","pages":"8837 - 8873"},"PeriodicalIF":2.6,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236887","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 : 2025-08-04DOI: 10.1007/s11581-025-06591-9
Pinkey Yadav, Sarika Aggarwal, Amit Chaudhary, Dipti Vaya
{"title":"Zinc oxide-based nanomaterials as efficient photocatalysts and electrocatalysts","authors":"Pinkey Yadav, Sarika Aggarwal, Amit Chaudhary, Dipti Vaya","doi":"10.1007/s11581-025-06591-9","DOIUrl":"10.1007/s11581-025-06591-9","url":null,"abstract":"<div><p>Zinc oxide (ZnO)-based nanomaterials have attracted considerable attention across a wide range of scientific and technological domains due to their distinctive physicochemical characteristics which include chemical stability, high surface area, optical transparency, and conductivity. This review thoroughly explores the primary synthesis methods that include co-precipitation, sonochemical, sol–gel, hydrothermal, chemical vapor deposition, and green method techniques for the synthesis of ZnO-based nanomaterials (NMs) and their catalytic uses. Novel techniques like sol–gel and green synthesis are given particular attention since they provide ecologically friendly and scalable methods for synthesis ZnO-based nanostructures. In addition to synthesis, the paper explores the various catalytic uses of ZnO photocatalysis and electrocatalysis. ZnO has become more and more popular as a catalyst for its affordability, stability, adjustable shape, and capacity to accelerate charge transfer processes. Furthermore, a novel approach to improving catalytic efficiency and selectivity has been made possible by the investigation of various factors such as doping, temperature, pH, light intensity, and surface area on catalytic efficiency. The mechanisms of photocatalysis and electrocatalysis are also discussed. It highlights the positive role of ZnO-based NMs in various catalytic applications. This overview concludes the future direction of the exploration of ZnO-based NMs in the field of photocatalysis and electrocatalysis.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 9","pages":"8875 - 8901"},"PeriodicalIF":2.6,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236888","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 : 2025-07-31DOI: 10.1007/s11581-025-06583-9
Pravir Yadav, Aparajita Sengupta
{"title":"Cluster-aware and feature-guided deep learning framework with fusion weighting for state of health prediction of li-ion batteries","authors":"Pravir Yadav, Aparajita Sengupta","doi":"10.1007/s11581-025-06583-9","DOIUrl":"10.1007/s11581-025-06583-9","url":null,"abstract":"<div><p>Accurate prediction of state of health (SOH) is critical for ensuring reliability and safety in lithium-ion batteries. This paper proposes a new cluster-aware and feature-guided deep learning (CAFG-DL) framework with a fusion weighting strategy for accurate and robust prediction of SOH. The approach begins by extracting six critical health features (CHFs) from discharge cycles, capturing voltage, temperature, and incremental capacity-based degradation markers from the NASA battery dataset across multiple cells. Following correlation analysis, these features are used to cluster battery cycles using density-based spatial clustering of applications with noise (DBSCAN), which was chosen due to its ability to identify complex, non-convex degradation patterns after comparison with K-means and hierarchical methods. For each cluster, localized deep learning models, bidirectional long short-term memory, gated recurrent unit, and feedforward neural network are trained to model intra-cluster temporal dynamics. After the training phase, a multi-criteria fusion method that assigns weights to each model’s prediction is introduced and used during the testing phase. The framework captures complex temporal dependencies and adapts predictions based on spatial proximity, SOH similarity, and model confidence. Three case studies are selected based on the CHF’s impact on SOH for each proposed algorithm, and four performance indices are considered for comparison. The CAFG-BiLSTM consistently outperforms conventional LSTM and cluster-based baselines, achieving a minimum RMSE of 0.0025 and MAPE of 0.18%. The framework demonstrates superior adaptability to heterogeneous aging behaviors and provides a scalable, interpretable solution for real-world battery health monitoring applications.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 9","pages":"9341 - 9358"},"PeriodicalIF":2.6,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236779","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 : 2025-07-30DOI: 10.1007/s11581-025-06565-x
Jiaxin Zhang, Xinyuan Cheng, Chenxiao Guo, Wenyi Li, Dequan Zhang, Bo Li, Fei Gao, Bing Dong, Yang Liu, Liqiu Wang
{"title":"Multibranched poly (1,4-benzoquinone-1,2,4,5-tetramethylenediamine) and its carbon nanotube composites for aqueous zinc-ion battery cathode","authors":"Jiaxin Zhang, Xinyuan Cheng, Chenxiao Guo, Wenyi Li, Dequan Zhang, Bo Li, Fei Gao, Bing Dong, Yang Liu, Liqiu Wang","doi":"10.1007/s11581-025-06565-x","DOIUrl":"10.1007/s11581-025-06565-x","url":null,"abstract":"<div><p>Organic quinone cathode materials possess several advantages, such as excellent redox activity, facilitated structural modification, and potential hydrophilic surface, that makes them highly potential in the application of aqueous zinc-ion batteries (AZIBs). Especially, many efforts are devoted to quinone polymer cathodes to inhibit their dissolution in the electrolyte and improve the cycle performance. In this paper, we synthesize a branched quinone polymer poly (1,4-benzoquinone-1,2,4,5-tetramethylenediamine) (PQBT) as AZIBs cathode material, which exhibits favorable electrochemical performance and composite application. PQBT achieves the discharge specific capacity of 165.0 mAh g<sup>−1</sup> at the current density of 0.02 A g<sup>−1</sup>. And at high current density of 0.1 A g<sup>−1</sup>, PQBT can maintain a capacity retention rate of 67.6% after 1100 cycles. Furthermore, the in situ composite of the PQBT and carbon nanotubes (CNT) results in improved rate performance, especially in terms of capacity at high currents.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 9","pages":"9213 - 9221"},"PeriodicalIF":2.6,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145237094","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 : 2025-07-29DOI: 10.1007/s11581-025-06573-x
Made Dhaneswara Pranakusuma, Jotti Karunawan, Teguh Yulius Surya Panca Putra, Nadhifah Salsabila, Surya Putra Andrianto, Imam Santoso, Muhammad Fachruddin, Sudaryanto
{"title":"Influences of lanthanum doping on electrochemical performances of Co-free high voltage LiNi0.5Mn1.5O4 cathode materials for Li-ion batteries","authors":"Made Dhaneswara Pranakusuma, Jotti Karunawan, Teguh Yulius Surya Panca Putra, Nadhifah Salsabila, Surya Putra Andrianto, Imam Santoso, Muhammad Fachruddin, Sudaryanto","doi":"10.1007/s11581-025-06573-x","DOIUrl":"10.1007/s11581-025-06573-x","url":null,"abstract":"<div><p>LiNi<sub>0.5</sub>Mn<sub>1.5</sub>O<sub>4</sub> (LNMO) stands out as a highly promising cathode material for next-generation lithium-ion batteries, offering notable benefits such as a high operational voltage, cobalt-free composition, and a high theoretical specific capacity. However, LNMO cathode materials still have several drawbacks, particularly concerning structural stability and transition metal dissolution which result in poor capacity retention. In this work, we introduced a small amount of La as dopant in LNMO cathode materials. The incorporation of La<sup>3+</sup> can reduce the formation of Mn<sup>3+</sup> within the structure, thereby mitigating transition metal dissolution. Furthermore, La<sup>3+</sup> doping influences the crystal properties, offering two advantages. Firstly, the presence of La<sup>3+</sup> in the 16<i>d</i> sites enhances structural stability. Secondly, it facilitates easier Li<sup>+</sup> ion diffusion, thereby ensuring high cycle stability and rate capability. The optimized La-doped LNMO sample demonstrated excellent performance, retaining 90.54% of its capacity after 200 cycles at 0.5C within a voltage range of 3–4.8 V and achieving a high-rate capability of 78.3% at 5C. The optimum La doping provided a minimum capacity loss and voltage fading, indicating the beneficial effect of La dopant for providing a stable structure and preventing transition metal dissolution. This strategy offers a promising route toward the development of high-performance, cobalt-free, high-voltage cathodes for next-generation lithium-ion batteries.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 9","pages":"8991 - 9003"},"PeriodicalIF":2.6,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145237033","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":"Reductive amination–engineered dual-function networks enhance alkaline stability and hydroxide conductivity in polyvinylpyrrolidone AEMs","authors":"Shiyu Dong, Yutong Fan, Fuhai Wang, Chunhui Shen, Shanjun Gao","doi":"10.1007/s11581-025-06554-0","DOIUrl":"10.1007/s11581-025-06554-0","url":null,"abstract":"<div><p>While ether-free anion exchange membranes (AEMs) have demonstrated enhanced alkaline stability, the simultaneous enhancement of hydroxide conductivity and dimensional stability remains a challenging aspect to address. This study proposes a reductive amination strategy for synthesizing cross-linked polyvinylpyrrolidone (PVP)-based AEMs. The strategy involves controlled molecular weight variation (K16, K30, and K60) and alkylamine functionalization. The employment of n-propylamine, 3-(Dimethylamino)propylamine (DMAPA), and hexadecylamine in conjunction with a 1,6-dibromohexane cross-linker has enabled the systematic tailoring of membrane architectures. The K16-PVP grafted with DMAPA demonstrated the highest grafting degree, as confirmed by FT-IR and <sup>1</sup>H NMR analyses, and exhibited enhanced cross-linking density. This synergy resulted in a significant improvement in ion transportation and mechanical stability. The optimized membrane performed exceptionally, with 94.15 mS·cm<sup>−1</sup> of hydroxide conductivity at 80 °C, surpassing PVP-based AEM reports, while still maintaining 85.3% conductivity after 240 h in 2 M NaOH at 80 °C. These results establish molecular weight-controlled reductive amination as an effective approach to resolve the critical conductivity-stability trade-off in anion exchange membranes.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 9","pages":"9147 - 9161"},"PeriodicalIF":2.6,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145237031","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":"Enhanced electrocatalytic water splitting performance via bimetallic doping in Co-MOF","authors":"Junling Chen, Heng Zhang, Zhenzhen Shi, Qingyao Lu, Yilin Feng, Tiexin Zhang","doi":"10.1007/s11581-025-06563-z","DOIUrl":"10.1007/s11581-025-06563-z","url":null,"abstract":"<div><p>Faced with the pressing issue of severe environmental pollution caused by excessive energy utilization, the search for a new type of fuel that is both environmentally friendly and renewable has become a top priority. In this paper, an efficient bimetallic electrocatalyst material, CoNi-MOF@NF, was synthesized through the hydrothermal synthesis method, which can accelerate hydrogen production via electrolysis. Subsequent electrochemical assessments of CoNi-MOF@NF in an alkaline medium have revealed that, at a current density of − 10 mA/cm<sup>2</sup>, it exhibits an overpotential of 147 mV for hydrogen evolution reaction (HER), and at a current density of 50 mA/cm<sup>2</sup>, it demonstrates an overpotential of 224 mV for the oxygen evolution reaction (OER), outperforming corresponding monometallic electrocatalytic materials. Furthermore, at a current density of 10 mA/cm<sup>2</sup>, it requires a voltage as low as 1.682 V for overall water splitting. In addition, the electrochemical stability of CoNi-MOF@NF was rigorously evaluated through a combination of constant potential (CP) durability testing at 100 mA/cm<sup>2</sup> for 120 h and accelerated degradation measurements involving 3000 consecutive linear sweep voltammetry (LSV) cycles. These findings unambiguously demonstrate the material’s exceptional operational stability under prolonged electrochemical stress, underscoring its promising potential for practical energy conversion applications.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 9","pages":"9419 - 9430"},"PeriodicalIF":2.6,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145237088","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 : 2025-07-29DOI: 10.1007/s11581-025-06574-w
Shenghui Zhang, Yingfu Zhou, Xue Chen, He Zhang, Liujun Cao
{"title":"Rational design of 3D ordered macro-microporous TiN/carbon architectures for high-energy and stable rocking-chair aqueous Mn-ion batteries","authors":"Shenghui Zhang, Yingfu Zhou, Xue Chen, He Zhang, Liujun Cao","doi":"10.1007/s11581-025-06574-w","DOIUrl":"10.1007/s11581-025-06574-w","url":null,"abstract":"<div><p>Rechargeable aqueous manganese-ion batteries (MIBs) have emerged as promising candidates for grid-scale energy storage due to their intrinsic safety, cost-effectiveness, and high energy density. However, their widespread adoption is hindered by the large ionic radius of Mn<sup>2+</sup> ions and the limited availability of electrode materials that can efficiently accommodate Mn<sup>2+</sup> ion storage. To address these issues, this study introduces a novel insertion-type anode material, consisting of a three-dimensional ordered macro-microporous TiN/C composite (3DOM-TiN/C), synthesized from Ti-MOF (MIL-125(Ti)). This material features a hierarchical macro-microporous architecture, an enhanced specific surface area, excellent electronic conductivity, and robust mechanical stability, which collectively facilitate efficient and reversible Mn<sup>2</sup>⁺ ion insertion and deinsertion processes. Additionally, the 3DOM-TiN/C composite serves as an optimal framework for anchoring redox-active MnO<sub>2</sub> material through in-situ chemical bath deposition, resulting in the formation of a 3DOM-TiN/C@MnO<sub>2</sub> cathode electrode. When assembled into a coin cell configuration (3DOM-TiN/C||3DOM-TiN/C@MnO<sub>2</sub>), the MIBs exhibit exceptional electrochemical performance, achieving ultrahigh energy and power densities of 274.2 Wh kg⁻<sup>1</sup> and 18.05 kW kg⁻<sup>1</sup>, respectively. Moreover, pouch cell configurations demonstrate significant potential for practical applications. These findings underscore the promise of Ti-based insertion-type materials as a groundbreaking class of anode materials for rechargeable aqueous MIBs.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 9","pages":"9223 - 9235"},"PeriodicalIF":2.6,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145237089","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 : 2025-07-28DOI: 10.1007/s11581-025-06495-8
M. N. Faeqah, M. I. H. Sohaimy, N. H. Ahmad, M. Muthuvinayagam, M. I. N. Isa
{"title":"Structural study of 2-hydroxyethyl cellulose (2HEC) solid biopolymer electrolyte doped with NH4Br: effect on ionic conductivity","authors":"M. N. Faeqah, M. I. H. Sohaimy, N. H. Ahmad, M. Muthuvinayagam, M. I. N. Isa","doi":"10.1007/s11581-025-06495-8","DOIUrl":"10.1007/s11581-025-06495-8","url":null,"abstract":"<div><p>In this work, solid biopolymer electrolyte (SBE) was developed into films by using 2-hydroxyethyl cellulose (2HEC) as a polymer host and doped with different weight percentages (wt.%) of ammonium bromide (NH<sub>4</sub>Br). The 2HEC-NH<sub>4</sub>Br SBE films were limited to only 30 wt.% salt composition before the SBE became physically unstable. The 2HEC-NH<sub>4</sub>Br SBE films were analyzed through several characterizations: electrical impedance spectroscopy (EIS), Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), and differential scanning calorimetry (DSC). EIS analysis shows that the highest conductivity achieved was 3.95 × 10<sup>−5</sup> Scm<sup>−1</sup> for a sample with 20 wt.% of NH<sub>4</sub>Br composition. The amorphous and semi-crystalline structures were determined through XRD, with the highest conducting sample exhibiting the semi-crystalline structure, consistent with changes in the sample’s optical appearance. The amorphous nature was further confirmed through analysis of the DSC curve. FTIR analysis confirmed the interaction between NH<sub>4</sub>Br and 2HEC occurred at the -OH group of 2HEC. A comparative analysis of ionic conductivity across studies sheds light on several contributing factors such as glass transition temperature and lattice energy that affect SBE performance.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 9","pages":"9133 - 9145"},"PeriodicalIF":2.6,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145237034","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 : 2025-07-25DOI: 10.1007/s11581-025-06390-2
Pankaj Sharma, Saravanakumar Raju
{"title":"Parameter estimation of PEM fuel cell by using Enhanced Arctic Puffin Optimization algorithm","authors":"Pankaj Sharma, Saravanakumar Raju","doi":"10.1007/s11581-025-06390-2","DOIUrl":"10.1007/s11581-025-06390-2","url":null,"abstract":"<div><p>An essential challenge in fuel cell modelling is the identification of precise boundary conditions, often derived from the fuel cell manufacturer. In reality, not all data is provided in the manufacturer’s data sheet. Therefore, in order to enhance accuracy and estimate the performance of the cell, it is necessary to obtain all of this information. This paper presents a novel Enhanced Arctic Puffin Optimization (EnAPO) algorithm to obtain the optimal parameters of the proton exchange membrane fuel cell (PEMFC). The fitness function, subject to a set of practical constraints, is defined as the sum of squared errors (SSE). The superiority of the EnAPO algorithm was demonstrated using six distinct types of PEMFC stacks: Stack 250 W, NedStack PS6, Temasek, BCS 500-W, SR-12 500W, and Ballard Mark V PEMFC stacks and under distinct conditions (temperature and pressure). The efficacy of the proposed EnAPO algorithm is assessed by applying it to the CEC 2019, and CEC 2022 benchmark issues and subsequently comparing its results with those of existing metaheuristic (MH) algorithms under identical circumstances to demonstrate the system’s efficiency. The outcomes show that the proposed EnAPO algorithm has an SSE equal to 3.313476E<span>(-)</span>01, 2.06556E+00, 1.23277E<span>(-)</span>01, 1.16978E<span>(-)</span>02, 1.42098E<span>(-)</span>04, and 8.13912E<span>(-)</span>01 for the Stack 250 W, NedStack PS6, Temasek, BCS 500-W, SR-12 500W, and Ballard Mark V PEMFC stacks, respectively. Furthermore, the EnAPO demonstrates enhanced performance in comparison to other MH algorithm, achieving the smallest SSE with the lowest standard deviation value (Std.). The effectiveness of the EnAPO algorithm is validated with several analyses such as convergence curve analysis, Wilcoxon’s rank-sum test and the Friedman test, boxplot study, statistical, radar plot assessment, sensitivity analysis, and correlation analysis. The final outcomes demonstrated the successful utilization of the proposed EnAPO algorithm in accurately extracting the parameters of a PEMFC model.</p></div>","PeriodicalId":599,"journal":{"name":"Ionics","volume":"31 9","pages":"9431 - 9497"},"PeriodicalIF":2.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236923","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}