Journal of energy storage最新文献_第3页

Thermal performance study of a solar-coupled phase changes thermal energy storage system for ORC power generation 用于 ORC 发电的太阳能耦合相变热能储存系统的热性能研究

Journal of energy storage Pub Date : 2024-02-01 DOI: 10.1016/j.est.2023.110126

Xinwei Wang, Donglin Liu, Genying Gao, Jinyu Li, Zhengda Yang, Riyi Lin

引用次数: 0

Fishery waste-driven piezo-capacitor as unprecedented energy conversion and storage for real-time monitoring device 用于实时监控装置的渔业废物驱动压电电容器是前所未有的能量转换和储存装置

Journal of energy storage Pub Date : 2024-02-01 DOI: 10.1016/j.est.2023.110121

M. Marimuthu, S. Ganesan, A. R. Kumar

引用次数: 0

Facile hydrothermal synthesis of NiMoO4·xH2O nanorods-like structures as bifunctional oxygen electrocatalysts for rechargeable zinc-air batteries 水热法简便合成 NiMoO4-xH2O 纳米棒状结构作为可充电锌-空气电池的双功能氧电催化剂

Journal of energy storage Pub Date : 2024-02-01 DOI: 10.1016/j.est.2023.110171

Ramakrishna Reddy Ayyaluri, B. N. V. Krishna, Obula Reddy Ankinapalli, Jae Su Yu

引用次数: 1

Binder-free cobalt-doped Cu7S4 nanorods as electrode for hybrid supercapacitor with high power density and stable cyclability 无粘合剂掺钴 Cu7S4 纳米棒作为混合超级电容器的电极，具有高功率密度和稳定的循环能力

Journal of energy storage Pub Date : 2024-02-01 DOI: 10.1016/j.est.2023.110168

Mengxuan Sun, Yongxiu Sun, Q. Fang, Xiaohe Ren, Zhijie Li

引用次数: 0

Retraction notice to “Heating a residential building using the heat generated in the lithium ion battery pack by the electrochemical process” [J. Energy Storage 45 (2022) 103553] 关于 "利用锂离子电池组在电化学过程中产生的热量为住宅楼供暖 "的撤稿通知 [J. Energy Storage 45 (2022) 103553]

Journal of energy storage Pub Date : 2024-02-01 DOI: 10.1016/j.est.2023.110236

Saeed Alqaed

引用次数: 0

Thermally enhanced nanocomposite phase change material slurry for solar-thermal energy storage 用于太阳能-热能储存的热增强型纳米复合相变材料浆料

Journal of energy storage Pub Date : 2024-02-01 DOI: 10.1016/j.est.2023.110110

O. Kazaz, Nader Karimi, Shanmugam Kumar, Gioia Falcone, Manosh C. Paul

引用次数: 0

A double-spiral flow channel of vanadium redox flow batteries for enhancing mass transfer and reducing pressure drop 用于增强传质和减少压降的钒氧化还原液流电池双螺旋流道

Journal of energy storage Pub Date : 2024-02-01 DOI: 10.1016/j.est.2023.110278

Yuwei Chai, Dawei Qu, Luyan Fan, Yating Zheng, Fan Yang

引用次数: 0

Promoting cycle stability and rate performance of birnessite-type MnO2 cathode via cupper and bismuth dual ions pre-intercalation for aqueous zinc-ion batteries 铜铋双离子预插提高水基锌离子电池锰氧化物阴极的循环稳定性和倍率性能

Journal of energy storage Pub Date : 2023-11-10 DOI: 10.1016/j.est.2023.109589

Yuqing Sun, Shuxin Zhuang, Yan Ren, Shengyu Jiang, Xiaoxiao Pan, Gaoxing Sun, Bin Zhu, Yanfen Wen, Xiaodan Li, Feiyue Tu, Jun Guo

引用次数: 11

Enhancement of dielectric properties and conduction mechanism in BaTi0.85Sn0.15O3 for energy storage application BaTi0.85Sn0.15O3在储能应用中的介电性能和传导机制的增强

Journal of energy storage Pub Date : 2023-11-01 DOI: 10.1016/j.est.2023.109335

Sagar Dutta, Md. Shahjahan Ali, Angkita Mistry Tama, Md. Masud Parvez, Humayra Ferdous, M.A. Hakim, Md. Sarowar Hossain

{"title":"Enhancement of dielectric properties and conduction mechanism in BaTi0.85Sn0.15O3 for energy storage application","authors":"Sagar Dutta, Md. Shahjahan Ali, Angkita Mistry Tama, Md. Masud Parvez, Humayra Ferdous, M.A. Hakim, Md. Sarowar Hossain","doi":"10.1016/j.est.2023.109335","DOIUrl":"https://doi.org/10.1016/j.est.2023.109335","url":null,"abstract":"To achieve cost effective materials with improved dielectric properties, BaTiO3 and BaTi0.85Sn0.15O3 have been prepared by solid state reaction technique introducing a two step sintering method. The structure of the samples has been investigated by X-Ray diffraction (XRD) and Raman spectra at room temperature (RT ~ 300 K). In addition, crystallographic microstructures and grain morphology have been evaluated by transmission electron microscopy (TEM) and scanning electron microscopy (SEM) respectively. Apart this, the band structure along with density of states (DOS) are evaluated using first principle calculations for BaTiO3 and BaTi0.85Sn0.15O3. The band structure depicts bandgap of 1.80 eV and 1.82 eV for BaTiO3 and BaTi0.85Sn0.15O3 respectively. The DOS calculation displays the increase in hybridization of Ba2+ (A site) and Ti4+ (B site) cations with oxygen octahedra resulting in off-center displacement of cations in Sn doped BaTiO3 sample. A disordered cubic phase is obtained in BaTi0.85Sn0.15O3 sample sintered at 1350 °C resulting in the highest dielectric constant εr′ with a minimum loss tanδ. The conduction mechanism has been analyzed from the temperature and frequency dependence of resistivity ρ. The overall forecasts indicate BaTi0.85Sn0.15O3 annealed at 1350 °C to be a potential candidate for energy storage capacitive devices in the electronic industry.","PeriodicalId":94331,"journal":{"name":"Journal of energy storage","volume":"18 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135111604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 using a novel dual-stage attention mechanism based recurrent neural network 基于递归神经网络的锂离子电池健康状态估计

Journal of energy storage Pub Date : 2023-11-01 DOI: 10.1016/j.est.2023.109297

Jiangnan Hong, Yucheng Chen, Qinqin Chai, Qiongbin Lin, Wu Wang

{"title":"State-of-health estimation of lithium-ion batteries using a novel dual-stage attention mechanism based recurrent neural network","authors":"Jiangnan Hong, Yucheng Chen, Qinqin Chai, Qiongbin Lin, Wu Wang","doi":"10.1016/j.est.2023.109297","DOIUrl":"https://doi.org/10.1016/j.est.2023.109297","url":null,"abstract":"Accurate estimation of the state of health (SOH) of lithium-ion batteries is an important guarantee to ensure safe and reliable operation of lithium-ion battery systems. However, the complex aging mechanism inside the battery makes it difficult to measure the battery SOH directly. In this paper, a SOH estimation method based on a novel dual-stage attention-based recurrent neural network (DARNN) and health feature (HF) extraction from time varying charging process is proposed. Firstly, the constant current charging time, the maximum temperature time, the isochronous voltage difference, and the isochronous current were extracted as lithium-ion battery HFs, and their correlations with SOH are verified by spearman correlation coefficient. Secondly, the DARNN is proposed to capture the time-dependent and temporal features of the input sequence and to accurately predict SOH. Finally, the proposed estimation method is validated on the NASA battery dataset. The results show that the method can accurately estimate SOH for lithium-ion batteries. The mean square error and the mean absolute percentage error of the method are <0.5 %.","PeriodicalId":94331,"journal":{"name":"Journal of energy storage","volume":"17 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135111606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1