Journal of energy storage最新文献

{"title":"Improved consensus-based current sharing control approach for battery storage in hydrogen production systems","authors":"Rashid Iqbal ,&nbsp;Yancheng Liu ,&nbsp;Almas Arshad ,&nbsp;Adil Ali Raja ,&nbsp;Mudasir Wahab ,&nbsp;Qinjin Zhang ,&nbsp;Muhammad Yaseen ,&nbsp;Syed Awais Ali Shah","doi":"10.1016/j.est.2026.120854","DOIUrl":"10.1016/j.est.2026.120854","url":null,"abstract":"<div><div>With the increasing integration of renewable energy sources, the reliable operation of off-grid DC microgrids, particularly in hydrogen production systems, relies heavily on coordinated energy management and balanced utilization of distributed energy storage units (DESUs). To address these challenges, this paper proposed an improved consensus-based current sharing control approach for DESUs, leveraging a distributed control framework based on multi-agent coordination to ensure accurate current sharing, uniform State of Charge (SoC) distribution, and stable DC bus voltage regulation. A dynamic SoC-based droop control mechanism is developed using the inverse hyperbolic sine function, which inherently incorporates an acceleration factor to enhance the convergence speed and responsiveness of SoC equalization. The control architecture is organized into two functional layers: the primary layer employs an Improved Current Sharing Controller (ICSC) for real-time current allocation and SoC balancing, while the secondary layer integrates a Multi-objective Secondary Controller (MOSC) to suppress voltage deviations caused by droop-based operation and mitigate the effect of line impedance. Additionally, a thorough analysis of small and large signal stability for the proposed control approach is carried out to verify system stability under varying operational scenarios. The effectiveness of the proposed scheme is validated through detailed MATLAB/Simulink simulations and Hardware-in-the-Loop (HIL) experiments. Comparative results confirm that the strategy significantly improves SoC convergence, current sharing accuracy, and dynamic performance compared to conventional approaches, offering a promising solution for efficient and resilient off-grid hydrogen production systems.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"153 ","pages":"Article 120854"},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermally-stable composite phase change material enabled by a crosslinking polymer skeleton with aliphatic side chains for thermal management and energy conversion","authors":"Zhubin Yao ,&nbsp;Changhong Wang ,&nbsp;Jian Cheng ,&nbsp;Jiakun Li ,&nbsp;Zhenghui Li ,&nbsp;Guoqing Zhang ,&nbsp;Xiaoqing Yang","doi":"10.1016/j.est.2026.120893","DOIUrl":"10.1016/j.est.2026.120893","url":null,"abstract":"<div><div>Thermal stability and heat storage capacity are both critical performances for composite phase change materials (CPCM) in various applications. However, the pursuit of high stability while maintaining high latent heat remains an arduous challenge owing to the tradeoff between these two key characteristics. Herein, inspired by the <em>comb</em>-like structure of liquid crystalline polymer, we design a functional polymeric skeleton with crosslinking mainchain and aliphatic side chains via in-situ polymerizing docosahexadecyl acrylate monomers in liquid paraffin. The C22 side chains provide an intrinsic latent heat of 102.9 J·g⁻¹. Thus, the proportion of polymeric skeleton can be increased to 55 wt% while guaranteeing a large latent heat of 132.1 J·g⁻¹ of the CPCM. Meanwhile, the high polymer content and its crosslinking mainchain structure endow the CPCM with significantly enhanced thermal stability, including a superior heat tolerance up to 240 °C, a negligible leakage rate of 0.53 wt% and an outstanding shape stability under high operating temperatures. As a result, the obtained CPCM demonstrates great performances in various potential applications, such as an enhanced temperature control ability in thermal management of solar cells and electronic devices, and a high photothermal conversion rate up to 86.5%.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"153 ","pages":"Article 120893"},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of directional magnetic field on the performance and degradation of lithium-ion batteries","authors":"Hyunju Ko ,&nbsp;Woojoong Kim ,&nbsp;Minjun Kang ,&nbsp;Sangjun Park ,&nbsp;Namwook Kim ,&nbsp;Youn Cheol Park ,&nbsp;Byeongsu Kang","doi":"10.1016/j.est.2026.120867","DOIUrl":"10.1016/j.est.2026.120867","url":null,"abstract":"<div><div>Lithium-ion batteries are widely used in various applications such as electric vehicles and energy storage systems owing to their high energy density and excellent stability. Accordingly, various studies are actively underway to improve battery life and suppress degradation; however, most have focused on advancing internal materials such as cathodes, anodes, and electrolytes. This approach has limitations, including complex manufacturing processes, increased costs, and difficulty in applying such changes to existing systems in operation. In this study, we propose an external, nonintrusive approach involving the application of an external magnetic field to a battery to overcome these limitations. This method can improve performance through physical stimulation without altering the internal structure of the cell, making it easily applicable to commercial systems. First, we compared the electrochemical characteristics based on the magnetic polarity using a beaker cell. Subsequently, the optimal conditions to a commercial 18,650 lithium-ion battery were applied to analyze and compare the charge/discharge cycle performance with and without application of magnetic field. Additionally, we conducted electrochemical impedance spectroscopy, electrode surface observations, and X-ray photoelectron spectroscopy of the cells after cycling to comprehensively evaluate the effect of the magnetic field on battery degradation. This study demonstrates the feasibility of improving battery life through a simple and practical approach of applying an external magnetic field, and highlights its potential as an alternative technique to enhance the performance of existing battery systems.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"153 ","pages":"Article 120867"},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanistic study of moisture content effects on coal-oxygen adsorption conformational relationship","authors":"Yanni Zhang ,&nbsp;Yunchao Hou ,&nbsp;Fanyan Zhai ,&nbsp;Dan Yang ,&nbsp;Jun Deng","doi":"10.1016/j.est.2026.120963","DOIUrl":"10.1016/j.est.2026.120963","url":null,"abstract":"<div><div>Coal spontaneous combustion is an inherent property of coal, which initial-stage is essentially a cascade transfer process that physical adsorption oxygen activation energy triggers chemical adsorption and oxidation reaction, its dynamic equilibrium process is regulated by the coupling effect of coal-water‑oxygen multiphase interface. Thus it is significant to grasp the impact characteristic of moisture on coal oxygen adsorption for further revealing coal spontaneous combustion mechanism and developing new moisture-regulated inhibition technology. In this research, using low-temperature liquid nitrogen adsorption, the air adsorption calorimetry experimental and molecular dynamics simulation, studied the moisture content affects coal‑oxygen adsorption process. The results show that increasing moisture content, the specific surface area and cumulative pore volume are negatively correlated, positively with the average pore diameter; Grasped heat release law of adsorption coupling at the coal-water‑oxygen multiphase interface. That is, with increasing moisture content, the coal oxygen adsorption capacity, adsorption heat flow and heat release all show a monotonically decreasing trend; Determined moisture content affects coal‑oxygen adsorption microscopic characteristics, i.e., Pore structure level: the spatial occupancy effect of water molecules can change oxygen transport path; Kinetic parameter level: oxygen diffusion coefficient and coal oxygen adsorption interaction energy are negatively correlated with increasing moisture content; Adsorption site level: As moisture content increases, oxygen diffusion resistance increases, prompting adsorption sites to gradually shift toward high-energy adsorption regions. Revealed the conformational mechanism of moisture content affecting coal oxygen adsorption, i.e., water molecules inhibit coal oxygen adsorption by reducing pore space, blocking oxygen transport pathways, and occupying low-energy adsorption sites.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"153 ","pages":"Article 120963"},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying hourly virtual inertia and battery energy storage system requirements for frequency stability in low-inertia power systems","authors":"S. Saha ,&nbsp;M. Elliott ,&nbsp;T.K. Roy ,&nbsp;Amanullah M.T. Oo","doi":"10.1016/j.est.2026.120853","DOIUrl":"10.1016/j.est.2026.120853","url":null,"abstract":"<div><div>The increasing penetration of renewable energy sources has reduced system inertia by displacing conventional synchronous generators, creating challenges for frequency stability in modern power grids. Existing approaches for virtual inertia provision and battery energy storage system (BESS) sizing rely on deterministic and static assumptions and therefore fail to capture the stochastic and time-varying nature of renewable generation, load demand, and operating conditions. To address these shortcomings, this study proposes a stochastic, reliability-constrained optimization framework for the hourly quantification of virtual inertia requirements and corresponding BESS reserves. Uncertainty in renewable generation and load demand is modeled using Monte Carlo simulation, and an empirical cumulative distribution function (ECDF) based assessment is employed to ensure compliance with grid operator-defined frequency nadir and rate-of-change-of-frequency (RoCoF) constraints at a specified reliability level. The proposed framework is validated on a modified IEEE 39-bus test system with 50% renewable energy penetration. The results show strong hourly variation in the required BESS virtual inertia support, expressed in terms of the equivalent inertia constant, which increases from 0.33–0.62 s during high-inertia night-time hours (21:00–05:00) to 3.25–3.76 s during low-inertia solar hours (11:00–15:00) at a 90% reliability level, with a maximum requirement of 3.76 s at 13:00. As the reliability target increases from 50% to 90%, the BESS inertia reserves determined by the proposed framework progressively reduce frequency nadir and RoCoF violations caused by the loss of the largest generating unit, reaching approximately 9% of scenarios at 90% reliability, at the expense of higher reserve requirements and increased capital expenditure. The proposed framework explicitly captures this reliability–cost interaction, thereby quantifying a clear trade-off between frequency reliability and economic performance and providing a reliability-informed framework for balancing frequency security and investment decisions in low-inertia power systems.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"153 ","pages":"Article 120853"},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The uniqueness of Janus: A key element in breakthrough oxygen evolution reaction and oxygen reduction reaction bifunctional electrocatalyst design","authors":"Songshan Gao ,&nbsp;Long Lin ,&nbsp;Pei Shi ,&nbsp;Chaoyang Wang ,&nbsp;Xiangyu Guo ,&nbsp;Shengli Zhang","doi":"10.1016/j.est.2026.120967","DOIUrl":"10.1016/j.est.2026.120967","url":null,"abstract":"<div><div>The development of efficient, cost-effective, and environmentally friendly electrocatalysts is a fundamental prerequisite for advancing renewable energy storage and conversion technologies. Focusing on bifunctional electrocatalyst systems for the oxygen evolution reaction (OER) and oxygen reduction reaction (ORR), we find that the Janus-type two-dimensional (2D) transition metal chalcogenide SnSSe monolayer offers a unique combination of electronic structure and multiple reactive sites suitable for dual-function catalysis. Based on density functional theory (DFT) calculations, we demonstrate that single-atom modification is an effective strategy to endow the SnSSe substrate with both ORR and OER catalytic capabilities. Among the eighteen configurations doped with transition metals (TM) examined, the Pd-V_S, Pd-V_Se, Pt-V_S, and Pt-V_Se@SnSSe systems exhibit superior electrochemical stability and catalytic potential, primarily due to their higher dissolution potentials. Their catalytic excellence is attributed to the simultaneous reduction in overpotentials and enhancement of reaction kinetics, governed by both thermodynamic equilibrium and kinetic reaction pathways. Notably, Pt-V_Se@SnSSe shows the most promising performance, achieving theoretical overpotentials of <em>η</em>^ORR = 0.43 V and <em>η</em>^OER = 0.40 V, which surpass those of conventional benchmark catalysts Pt(111) and RuO₂(110). This superior activity originates from a reconstruction of the electronic structure triggered by changes in the coordination environment. This work not only elucidates the structure–activity relationship of bifunctional catalytic centers but also provides a theoretical foundation for the application of Janus-type two-dimensional materials in metal air batteries and other energy conversion devices.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"153 ","pages":"Article 120967"},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PINEAPPLE: Physics-informed neuro-evolution algorithm for prognostic parameter inference in lithium-ion battery electrodes","authors":"Karkulali Pugalenthi ,&nbsp;Jian Cheng Wong ,&nbsp;Qizheng Yang ,&nbsp;Pao-Hsiung Chiu ,&nbsp;My Ha Dao ,&nbsp;Nagarajan Raghavan ,&nbsp;Chin Chun Ooi","doi":"10.1016/j.est.2026.120944","DOIUrl":"10.1016/j.est.2026.120944","url":null,"abstract":"<div><div>Accurate, real-time, yet non-destructive estimation of internal states in lithium-ion batteries is critical for predicting degradation, optimizing usage strategies, and extending operational lifespan. While physics-based models, such as the single-particle model, utilize fundamental mechanistic insights to link macro-scale measurements (e.g., voltage response) to batteries’ internal electrochemical dynamics, their relatively high computational cost limits real-time diagnostics and continuous inference during battery pack operation. Here, we introduce PINEAPPLE (Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter inference in Lithium-ion battery Electrodes), a novel framework that integrates physics-informed neural networks (PINNs) with an evolutionary search algorithm to enable rapid, scalable, and interpretable parameter inference with potential for application to next-generation batteries. The meta-learned PINN utilizes fundamental physics principles to achieve accurate zero-shot prediction of electrode behavior with test errors below 0.1% while maintaining an order-of-magnitude speed-up over conventional solvers. PINEAPPLE demonstrates robust parameter inference solely from voltage–time discharge curves across multiple batteries from the open-source CALCE repository, recovering the evolution of key internal state parameters such as Li-ion diffusion coefficients across usage cycles. Notably, the inferred cycle-dependent evolution of these parameters exhibit consistent trends across different batteries without any customized degradation physics-embedded heuristic, highlighting the effective regularizing effect and robustness that can be conferred through incorporation of fundamental physics in PINEAPPLE. By enabling computationally efficient, real-time parameter estimation, PINEAPPLE offers a promising route towards the non-destructive, physics-based characterization of inter-cell and intra-cell variability of battery modules and battery packs, thereby unlocking new opportunities for downstream on-the-fly needs in next-generation battery management systems such as individual cell-scale state-of-health diagnostics.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"153 ","pages":"Article 120944"},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid Co(II) coordination polymer/CNT/GO electrodes for high energy asymmetric supercapacitor","authors":"Arif Ali,&nbsp;Khusboo Kumari,&nbsp;Anupama Joy,&nbsp;Fatma Parween,&nbsp;Mst Shubnur Sultana,&nbsp;Ganesh Chandra Nayak","doi":"10.1016/j.est.2026.120709","DOIUrl":"10.1016/j.est.2026.120709","url":null,"abstract":"<div><div>Two-dimensional (2D) coordination polymers (CPs) have attracted significant attention in electrochemical energy storage because their layered architectures promote strong interfacial interactions with 1D and 2D carbon materials. Nevertheless, CPs often suffer from limited specific capacitance and poor structural stability. Integrating conductive carbon components can effectively overcome these drawbacks by leveraging synergistic effects to enhance overall charge storage capability. Herein, we report the solvothermal synthesis of a Co(II)-based coordination polymer, [Co(PDA)(H₂O)]<em>ₙ</em> (namely, MCo). The structure of MCo was elucidated by single-crystal X-ray diffraction (SC-XRD), revealing an <strong><em>hcb</em></strong>-type underlying net topology. Composite materials were subsequently fabricated by integrating MCo with multi-walled carbon nanotubes (MWCNTs) and graphene oxide (GO), designated as MCo/CNT and MCo/GO, respectively. The morphology and chemical composition of the resulting composites were characterized by FESEM, HR-TEM, and XPS analysis. Electrochemical analysis of symmetric supercapacitor (SSC) and asymmetric supercapacitor (ASC) devices showed that the ASC device has better specific capacitance (Sp.CP.). The specific capacitance of MCo, MCo/CNT 100, and MCo/GO 20 was calculated to be 14.54, 287.13, and 373.12 F g⁻¹ at 0.5 A g⁻¹ current density, respectively. The energy density and power density of MCo/GO 20 were calculated to be 132.6 Wh kg⁻¹ and 400 W kg⁻¹ at 0.5 A g⁻¹. The ASC device retained 68% capacitance after completion of 10,000 cycles of charging-discharging, demonstrating good cyclic stability. Furthermore, power-law analysis indicated a predominantly electric double-layer capacitance (EDLC) behavior with b-values ranging between 0.5 and 1. For practical demonstration, the ASC device successfully powered red, multicolor disco, and white LEDs, maintaining illumination for 120 s after a charging of 60 s. Additionally, an ASC flexible MCo/GO 20 device under PVA/KOH gel electrolyte showed sp. cp. of 461.03 F g⁻¹ and energy density of 164.02 Wh kg⁻¹ at a current density of 0.5 A g⁻¹ with a capacitance retention of 87% at a current density of 6 A g⁻¹, after 5000th charge-discharge cycles. These results highlight the potential of MCo/GO 20 composites as a promising electrode material for next-generation supercapacitor application.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"153 ","pages":"Article 120709"},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the arbitrage of integrating a molten salt thermal energy storage (TES) into a coal-fired combined heat and power (CHP) plant","authors":"Congyu Wang ,&nbsp;Luyun Wang ,&nbsp;Fangfang Chen ,&nbsp;Hongmei Cao ,&nbsp;Lin Gao ,&nbsp;Shuang Tian ,&nbsp;Wei Wang ,&nbsp;Qie Sun","doi":"10.1016/j.est.2026.120817","DOIUrl":"10.1016/j.est.2026.120817","url":null,"abstract":"<div><div>The integration of molten salt thermal energy storage (TES) into coal-fired power plants has been increasingly recognized as an effective approach for operational flexibility enhancement. However, limited research has focused on the arbitrage of the molten salt TES-integrated combined heat and power (CHP) plant in electricity markets. This study fills the research gap by developing an operational optimization model for a molten salt TES-integrated CHP plant, which maximizes its profit by considering real-time electricity prices and heating loads. Results show that integrating an 800 MWh molten salt TES into a 330 MW CHP plant can improve the plant's annual profit from 67.5 to 83.7 million RMB, primarily through capitalizing on peak-valley electricity price differences and expanding industrial heating capacity. Moreover, the TES integration can gain greater economic benefits in heating seasons compared to summer months. The net present value (NPV) of this TES integration is 62.7 million RMB, and the payback period is 10.0 years. Furthermore, the sensitivity analysis indicates that, compared to the baseline capacity of 800 MWh, a 40% decrease in the total energy storage capacity would improve the NPV up to 83.0 million RMB and shorten the payback period to 7.1 years. In addition, when the electricity prices rise by +60% from the baseline, the NPV of the TES integration would increase to 177.3 million RMB, representing an increase of 182%. This study provides insights to the planning and operation of molten salt TES and its integration in CHP plants.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"153 ","pages":"Article 120817"},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State of health estimation for battery modules based on multimodal expansion force-voltage features","authors":"Lili Gong ,&nbsp;Dan Yang ,&nbsp;Qing Xu ,&nbsp;Kai Sun ,&nbsp;Di Hu ,&nbsp;Tao Li ,&nbsp;Peng Tan","doi":"10.1016/j.est.2026.120961","DOIUrl":"10.1016/j.est.2026.120961","url":null,"abstract":"<div><div>Accurate estimation of the state of health (SOH) of lithium-ion battery modules is essential for the timely monitoring of aging and the prevention of sudden performance declines. Since single electrochemical features often fail to comprehensively capture the internal inconsistencies and aging dynamics within battery modules, a novel SOH estimation framework integrating multimodal features from voltage and expansion force is herein proposed. Degradation tests are conducted on battery modules under varying initial preload forces, with expansion force and voltage data synchronously acquired during cyclic aging. Multimodal feature factors are derived directly from the expansion-voltage profiles to construct a combined feature set that reflects the overall aging behavior of the modules. By integrating Bayesian optimization (BO) with a long short-term memory (LSTM) network, a robust SOH estimation model is established using six multimodal expansion force-voltage features as inputs. The experimental results show that the maximum relative error of the proposed method is within 1.1%. This multimodal framework establishes a more comprehensive and robust feature set, providing a highly resilient solution for module health management.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"153 ","pages":"Article 120961"},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}