Ruixue Wang , Kun Yang , Changjiang Shao , Chao Ma , Zhongwei Wang , Wei Wang
{"title":"Research on energy management scheme for electric bus rapid transit with hybrid energy storage system based on condition information","authors":"Ruixue Wang , Kun Yang , Changjiang Shao , Chao Ma , Zhongwei Wang , Wei Wang","doi":"10.1016/j.est.2025.117119","DOIUrl":"10.1016/j.est.2025.117119","url":null,"abstract":"<div><div>Electric bus rapid transit (EBRT) is an effective solution for traffic congestion and environmental pollution, but it has some shortcomings such as short life span of batteries and low energy utilization rate. For that, a new energy storage scheme (EMS) for EBRT is proposed based on the operating characteristics of photovoltaic (PV) cells, Li-ion batteries and supercapacitors. For improving the photoelectric conversion efficiency, the control scheme for PV cells is proposed based on the perturb and observe method and grey wolf optimization algorithm. Aiming at the optimization of energy management, the EBRT city cycle is collected and characteristic parameters are extracted. The processes for vehicle speed prediction based on the long short-term memory (LSTM) and driving pattern recognition based on learning vector quantization (LVQ) neural network are proposed. For solving the problem of low energy efficiency, a power distribution method is proposed based on the vehicle speed prediction and driving pattern recognition, and the improved dynamic programming algorithm and adaptive neuro-fuzzy inference system are adopted. The feasibility and adaptability of PBS and EMS are verified by developed verification platform. The results show that the global maximum power point can be tracked effectively by the proposed control scheme. The prediction accuracy for vehicle speed prediction is high, and the recognition accuracy for driving pattern recognition is high. The proposed EMS can optimize the discharge rate of Li-ion batteries effectively under CHTC-B. Under CHTC-B condition, the road slope is 0 %, the EBRT is full load, the initial SOC of Li-ion batteries and SCs are 85 % and 75 %, the solar irradiance is 254 W/m2, and average ambient temperature is 25 °C. The energy saving rate based on PV cells is 7.04 %, and the comprehensive energy efficiency is improved by 13.69 %.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"128 ","pages":"Article 117119"},"PeriodicalIF":8.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134994","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":"Privacy-preserving federated semi-supervised learning for battery life prediction amid data scarcity","authors":"Liang Ma , Jinpeng Tian , Tieling Zhang , Qinghua Guo , Chi-yung Chung","doi":"10.1016/j.est.2025.117152","DOIUrl":"10.1016/j.est.2025.117152","url":null,"abstract":"<div><div>Accurate prediction of remaining useful life (RUL) is essential for effective battery management and lifespan optimisation. While recent machine learning approaches offer promising results, their development relies heavily on abundant degradation data with RUL labels, which requires costly run-to-failure tests lasting years. Although massive degradation data are available from millions of batteries in laboratories and in service, access to such data is often restricted due to privacy concerns. Additionally, they usually suffer from quality issues, particularly the absence of RUL labels. To address these issues, we propose a federated-based semi-supervised learning framework enabling collaborative training among diverse battery users that own limited degradation data with RUL labels. This method not only enhances battery RUL prediction by effectively utilising low-cost routine operational data without RUL labels but also protects data privacy across battery users through secure model parameter aggregation. The proposed method is validated on two battery degradation datasets comprising 40 batteries cycled over 24,900 times. Comparative evaluations against federated learning (FL), semi-supervised learning (SSL), and supervised learning (SL) methods are conducted to highlight the effectiveness of our method. Results show that the FL, SSL, and SL methods achieve root mean squared errors (RMSEs) of 27.1, 33.8, and 40.1 cycles, respectively. In contrast, the proposed method achieves an RMSE of 21.3 cycles, resulting in reductions of 21.4 %, 37.0 %, and 46.9 %. This work underscores the potential of federated semi-supervised learning as a practical solution for accurate RUL prediction with reduced battery tests while addressing privacy concerns.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"128 ","pages":"Article 117152"},"PeriodicalIF":8.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139312","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}
Zhiyan Hou , Jinxiong Wu , Xiuling Yan , Xiaoyan He , Andrei Ivanets , Davronbek Bekchanov , Xintai Su
{"title":"Upcycling electroplating sludge metals into ultrathin NiFeAl-LDH nanosheets for advanced energy storage applications","authors":"Zhiyan Hou , Jinxiong Wu , Xiuling Yan , Xiaoyan He , Andrei Ivanets , Davronbek Bekchanov , Xintai Su","doi":"10.1016/j.est.2025.117105","DOIUrl":"10.1016/j.est.2025.117105","url":null,"abstract":"<div><div>Recovering heavy metals from industrial solid waste and upgrading them into high-value products is of great significance for addressing environmental pollution and promoting resource recycling. In this study, electroplating sludge containing mainly Ni, Fe, and Al was used as the raw material, and by adding nickel chloride to regulate the M(II)/M(III) ratio, the Ni, Fe, and Al in the sludge were converted into high-value NiFeAl-LDH nanosheets with excellent electrochemical properties. At a current density of 1 A g<sup>−1</sup>, NiFeAl-LDH-2 exhibits a specific capacitance of 1763.4 F g<sup>−1</sup>. When assembled as the cathode with activated carbon as the anode in a hybrid supercapacitor (HSC), the highest energy density reaches 43.89 Wh kg<sup>−1</sup> at a power density of 800 W kg<sup>−1</sup>. Furthermore, the HSC demonstrates minor capacity decay over 10,000 cycles at a high current load of 4 A g<sup>−1</sup>, and after connecting two HSC devices in series, the LED indicator light can easily be illuminated. The solid-state NiFeAl-LDH-2//AC hybrid supercapacitor demonstrates potential application in portable electronic devices due to its excellent electrochemical properties, making it feasible to upgrade electroplating sludge into battery electrode materials.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"128 ","pages":"Article 117105"},"PeriodicalIF":8.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139740","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":"Experimental and numerical investigation of thermal performance enhancement in shell-and-tube latent heat storage systems: effects of fins, eccentricity, and shell geometry","authors":"Nazila Parsa , Hossein Abolghasemi , Babak Kamkari","doi":"10.1016/j.est.2025.117159","DOIUrl":"10.1016/j.est.2025.117159","url":null,"abstract":"<div><div>Latent heat storage (LHS) systems are integral to achieving efficient and low-emission energy solutions. However, the inherently low thermal conductivity of most phase change materials (PCMs) limits heat transfer rate, necessitating advanced enhancement techniques to improve thermal response and overall system performance. This study investigates the combined effects of fin addition, tube eccentricity, and shell geometry on the thermal performance of shell-and-tube LHS units. Eight transparent LHS units with circular and obround shell geometries were fabricated, incorporating tube eccentricities of 0, 0.2, 0.4, and 0.6. Each unit featured a different fin arrangement while maintaining constant fin and PCM volumes. Experimental visualization and numerical simulations were employed to evaluate key thermal performance metrics, including melting time, heat transfer rate, and time-averaged heat transfer rate. The results revealed that increasing the tube eccentricity factor from 0 to 0.6 reduced the melting time by 58 % and 29 %, and improved the time-averaged heat transfer rate by 109 % and 33 % for circular and obround shells, respectively. Comparing the melting times between the two geometries at constant eccentricity factors demonstrated that obround shells exhibited significantly shorter melting times than circular shells. However, this advantage diminished with increasing eccentricity. At eccentricity factors of 0 %, 0.2 %, and 0.4 %, the melting times of obround shells were 40 %, 22 %, and 10 % shorter than those of circular shells, with corresponding improvements in time-averaged heat transfer rates of 58 %, 9 %, and 2 %, respectively. At an eccentricity factor of 0.6, there was no significant difference in melting times between the two shell geometries.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"128 ","pages":"Article 117159"},"PeriodicalIF":8.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135044","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}
Tingting Luo , Zhengyi Bao , Zhiwei He , Mingyu Gao
{"title":"A fusion extended long short-term memory learning architecture for capacity trajectory prediction of Li-ion battery","authors":"Tingting Luo , Zhengyi Bao , Zhiwei He , Mingyu Gao","doi":"10.1016/j.est.2025.116994","DOIUrl":"10.1016/j.est.2025.116994","url":null,"abstract":"<div><div>The capacity of lithium-ion batteries is a critical indicator for battery management systems(BMS), and accurate capacity prediction is essential for ensuring the reliable and safe operation of battery systems. Traditional deep learning methods often struggle to overcome the inherent limitations of time-series modeling, making it challenging to accurately identify phenomena such as capacity regeneration. To address this issue, this paper introduces a novel approach for predicting lithium battery capacity trajectories, leveraging data preprocessing and the fusion of extended Long Short-Term Memory(LSTM) networks. Initially, we apply the successive variational modal decomposition(SVMD) to preprocess the battery capacity aging curve, which is decomposed into intrinsic mode functions(IMFs) and residuals. A sliding window technique is then employed on these data. The varying IMF data is inputted into the extended LSTM network to facilitate accurate time-series modeling, while the smoothly decreasing residual data is fed into a faster Gated Recurrent Unit to enhance prediction efficiency. This dual-target learning approach effectively captures battery capacity trends, even in the presence of capacity regeneration phenomena and significant inflection points. Extensive experiments are conducted using the NASA and MIT datasets, and the results demonstrate that the proposed method successfully predicts battery capacity trajectories. Notably, compared to state-of-the-art methods, our approach achieves reductions in mean absolute errors(MAEs) and root mean square errors(RMSEs) by an average of 60.44% and 62.85%, respectively.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"128 ","pages":"Article 116994"},"PeriodicalIF":8.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135043","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}
Xiaojing Zhang , Luxin Cao , Xiaobo Wang , Zhen Liu , Jiwei Peng , Wentong Yang , Kaiqi Fan
{"title":"Janus POSS-based hydrogel electrolytes with high-ionic conductivity and low-temperature-resistance for all-in-one flexible supercapacitors","authors":"Xiaojing Zhang , Luxin Cao , Xiaobo Wang , Zhen Liu , Jiwei Peng , Wentong Yang , Kaiqi Fan","doi":"10.1016/j.est.2025.117216","DOIUrl":"10.1016/j.est.2025.117216","url":null,"abstract":"<div><div>With the continuous advancement of smart wearable devices and flexible electronics, flexible hydrogel supercapacitors are increasingly becoming one of the ideal wearable energy storage systems due to their high water content and excellent mechanical flexibility. However, it remains a challenge for flexible hydrogel supercapacitors to maintain sufficient flexibility and satisfactory electrochemical performance at sub-zero temperatures. In this study, we developed an innovative hydrogel electrolyte by integrating 2-hydroxypropyl-β-cyclodextrin (HP-β-CD) into the hydrogel network structure of water-soluble Janus-type polyhedral oligosiloxane (AS-POSS)-based hydrogel. This strategic integration significantly enhanced the ionic transport efficiency and mechanical properties of the hydrogel. Our findings revealed that the modified hydrogel electrolyte exhibited not only excellent flexibility (1208.6 % at 25 °C and 1006.3 % at −40 °C) but also impressive ionic conductivity (86.6 mS cm<sup>−1</sup> at 25 °C and 73.2 mS cm<sup>−1</sup> at −40 °C). The integrated supercapacitor, featuring low interfacial resistance, was successfully fabricated via in situ polymerization of aniline. This supercapacitor exhibits a high areal capacitance of 1158.67 mF cm<sup>−2</sup> at a current density of 0.2 mA cm<sup>−2</sup> and a capacitance retention of >95 % in 2000 charge/discharge cycles, surpassing the performance of most previously reported integrated supercapacitors. This approach enhances the mechanical properties and electrical conductivity of the hydrogel electrolyte, offering a potential application for hydrogel supercapacitors in flexible energy storage devices.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"128 ","pages":"Article 117216"},"PeriodicalIF":8.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134992","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":"Facile growth of Co2NiO4 nanowire arrays coating on MnO2 nanowires for high performance asymmetric supercapacitor applications","authors":"Shijie Ren, Shining Zhang, Xiuyun Zhang, Yajuan Jiang, Chunyu Xu, Zaohui Lei, Minlv Wei, Guisheng Zhu, Yunyun Zhao, Huarui Xu","doi":"10.1016/j.est.2025.117207","DOIUrl":"10.1016/j.est.2025.117207","url":null,"abstract":"<div><div>This research proposes an efficient method for the synthesis of Co<sub>2</sub>NiO<sub>4</sub> nanowire arrays that are grown on MnO<sub>2</sub> nanowire surface (MnO<sub>2</sub>@Co<sub>2</sub>NiO<sub>4</sub>) for use as composite electrode in supercapacitors. Due to its unique core-shell architecture incorporating double nanowires, the prepared MnO<sub>2</sub>@Co<sub>2</sub>NiO<sub>4</sub> composite exhibits a considerable specific surface area of 101 m<sup>2</sup> g<sup>−1</sup>, and a total pore volume of 0.342 cm<sup>2</sup> g<sup>−1</sup>, which are favorable for the improvement of the electrical properties. So, it exhibits a high specific capacitance of 1025 g<sup>−1</sup> at 1 A g<sup>−1</sup>, and a good rate performance with a capacitance retention of 73 % at 20 A g<sup>−1</sup>. In addition, the fabricated MnO<sub>2</sub>@Co<sub>2</sub>NiO<sub>4</sub>//bagasse porous carbon device also demonstrates an excellent energy density of 46.2 Wh kg<sup>−1</sup> at a power density of 807.3 Wh kg<sup>−1</sup>, along with a good cycle performance with a capacitance retention of 87 % after 5000 cycles at 10 A g<sup>−1</sup>, indicating that the prepared MnO<sub>2</sub>@Co<sub>2</sub>NiO<sub>4</sub> holds broad application prospects as composite electrode in supercapacitors with good performance.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"128 ","pages":"Article 117207"},"PeriodicalIF":8.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134993","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":"Advanced thermal regulation of electronic components: Ultrasonic field integration in PCM-based heat sinks under cyclic thermal shock","authors":"Amin Shahsavar , Mahan Hasani , Maziar Moradvandi , Müslüm Arıcı","doi":"10.1016/j.est.2025.117116","DOIUrl":"10.1016/j.est.2025.117116","url":null,"abstract":"<div><div>Thermal management of electronic equipment in thermal shock conditions is necessary to prevent device failure and reduce efficiency and increase their useful life. In the present research, the effectiveness of using an ultrasonic field to manage the thermal conditions of a heat sink containing phase change material exposed to cyclic thermal shock is numerically investigated. The performance of the system is evaluated over 2000 s. In the first 1000 s, a constant heat flux of 30 W/cm<sup>2</sup> is applied to the bottom of the heat sink, while in the second 1000 s, 5 thermal shocks are applied to the bottom of the heat sink, each lasting for 100 s. Four different values for the shock heat flux (60, 90, 120, and 150 W/cm<sup>2</sup>) and three different transducer powers (15, 30, and 60 W) are considered. The results indicated that for shock heat fluxes of 60, 90, 120, and 150 W/cm<sup>2</sup>, the maximum CPU temperature in the absence of an ultrasonic field reaches the 90 °C safe operating threshold within 1815, 1615, 1450, and 1405 s, respectively. However, when the ultrasonic field is applied, the maximum temperature of the system consistently remains below 90 °C.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"128 ","pages":"Article 117116"},"PeriodicalIF":8.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139311","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":"Coordinated power sharing in a low voltage direct current microgrid with photovoltaic and hybrid energy storage system for two-wheeler electric vehicle charging","authors":"Sarthak Mohanty , Shubhranshu Mohan Parida , Pravat Kumar Rout , Buddhadeva Sahoo","doi":"10.1016/j.est.2025.117203","DOIUrl":"10.1016/j.est.2025.117203","url":null,"abstract":"<div><div>The increasing popularity of electric vehicles (EVs), driven by technological advances and a heightened awareness of environmental sustainability, has led to the commercial production of solar-powered battery charging stations. This shift is further supported by the declining costs of photovoltaic (PV) systems. This study presents a solar-powered EV charging station equipped with a 100 V Direct Current (DC) bus, incorporating a PV system and a hybrid energy storage system (HESS). The HESS integrates batteries and supercapacitors to efficiently regulate charging demand changes and stabilize local loads. A unique State of Charge (SoC)-based current-sharing coefficient and voltage error feed-forward loop facilitate accurate DC bus voltage regulation, reducing battery stress by using supercapacitors for transient load management. The proposed system achieves DC bus voltage regulation within 30–45 ms, reducing undershoot and overshoot by 74.3 % and 78.9 %, respectively, compared to conventional methods. Additionally, the voltage ripple is minimized to 0.9 %, representing an 80.0 % improvement. Two two-wheeler EVs are charged using multi-rate constant current charging, which optimizes SoC levels and enhances the State of Health (SoH) of EV batteries. The power management system is meticulously assessed under various operating conditions, reflecting different levels of PV power availability and load demands. The model is simulated using MATLAB/SIMULINK and validated through OPAL-RT OP-4510 real-time simulator, with results confirming the system's efficiency, stability, and reliability.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"128 ","pages":"Article 117203"},"PeriodicalIF":8.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134953","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}
Guodong Liu , Longgang Sun , Pengcheng Guo , Yanyan Li , Wei Wang , Zhihu Wang
{"title":"Coherent structure analysis of double-helix vortex rope in pump turbine operating in turbine mode based on POD and DMD","authors":"Guodong Liu , Longgang Sun , Pengcheng Guo , Yanyan Li , Wei Wang , Zhihu Wang","doi":"10.1016/j.est.2025.117144","DOIUrl":"10.1016/j.est.2025.117144","url":null,"abstract":"<div><div>Under low-part load conditions, Double-helix Vortex Rope (DVR) can occur in the draft tube of pump turbines, causing pressure pulsations that contribute significantly to the instability of Pumped Storage Power Stations (PSPS). With the intent of studying the characteristics of the DVR in draft tube, this paper focuses on a model pump turbine that operated stably at 43 % low-part load. Systematic numerical calculations were conducted, extracting 600 snapshots of the flow field from longitude slice of the draft tube during last 5 runner revolutions to form a pressure matrix for Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD). The results show that the pressure pulsation induced by DVR (<em>f</em><sub>DVR</sub>) is 0.8 <em>f</em><sub>n</sub>, which is approximately twice the traditional Single-helix Vortex Rope (SVR). POD analysis revealed that the dominant frequency of the POD mode 1 and 2 are both <em>f</em><sub>DVR</sub> and the summation energy contributions of them exceeded 70 %. However, frequency aliasing existed in each POD modes. In contrast, DMD analysis showed that the frequency of the DMD mode 3 with 1 % energy contribution is 0.85 <em>f</em><sub>n</sub>, which is closed to the <em>f</em><sub>DVR</sub>, and no frequency aliasing existed. POD modes 1, 2, and 5, along with all DMD modes except mode 5, significantly impact the flow field. Pressure contour of the DMD mode 3 is similar to the POD mode 1 and 2, suggesting a link to the DVR. Additionally, the time evolution of DMD mode 3, extracted at different moments, reveals that it characterizes the spinning process of the DVR. This study provides new insights to the DVR and offers a reference for achieving more stable PSPS operation.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"128 ","pages":"Article 117144"},"PeriodicalIF":8.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134991","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}