Results 21 to 30 of about 672,917 (355)

Hollow-core optical fibre sensors for operando Raman spectroscopy investigation of Li-ion battery liquid electrolytes

Nature Communications, 2022
Improved analytical tools are urgently required to identify degradation and failure mechanisms in Li-ion batteries. However, understanding and ultimately avoiding these detrimental mechanisms requires continuous tracking of complex electrochemical ...
E. Miele, W. Dose, I. Manyakin, M. Frosz, Zachary Ruff, Michael F. L. De Volder, C. Grey, J. Baumberg, T. Euser   +8 more
semanticscholar   +1 more source

Robust Control of RSOC/Li-ion Battery Hybrid System Based on Modeling and Active Disturbance Rejection Technology

Atmosphere, 2023
The application of new energy systems for industrial production to advance air pollution prevention and control has become an irreversible trend. This development includes hybrid systems consisting of reversible solid oxide cells (RSOC) and a Li-ion ...
Xiaolong Wu, Yu Li, Zilin Gao, Yuanwu Xu, Jingxuan Peng, Zhiping Xia, Lingyan Hu, Jiangong Hu, Zhuo Wang, Xi Li   +9 more
doaj   +1 more source

Comparative Study of Equivalent Circuit Models Performance in Four Common Lithium-Ion Batteries: LFP, NMC, LMO, NCA

Batteries, 2021
Lithium-ion (Li-ion) batteries are an important component of energy storage systems used in various applications such as electric vehicles and portable electronics.
Manh-Kien Tran, Andre DaCosta, Anosh Mevawalla, Satyam Panchal, Michael Fowler   +4 more
doaj   +1 more source

A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management

IEEE Access, 2021
Battery ensures power solutions for many necessary portable devices such as electric vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted incidents involving Li-ion batteries have also increased to some extent.
Shahid A. Hasib, S. Islam, Ripon K. Chakrabortty, Michael J. Ryan, D. K. Saha, Md H. Ahamed, S. I. Moyeen, Sajal K. Das, Md F. Ali, Md R. Islam, Z. Tasneem, Faisal R. Badal   +11 more
doaj   +1 more source

Prediction of Lithium-Ion Battery Capacity by Functional Principal Component Analysis of Monitoring Data

Applied Sciences, 2022
The lithium-ion (Li-ion) battery is a promising energy storage technology for electronics, automobiles, and smart grids. Extensive research was conducted in the past to improve the prediction of the remaining capacity of the Li-ion battery.
MD Shoriat Ullah, Kangwon Seo
doaj   +1 more source

Electrical Modeling and Impedance Spectra of Lithium-Ion Batteries and Supercapacitors

Batteries, 2023
In this study, electrical models for cylindrical/pouch-type lithium Li-ion batteries and supercapacitors were investigated, and the impedance spectra characteristics were studied.
Jin-Yong Bae
doaj   +1 more source

Roadmap on Li-ion battery manufacturing research

Journal of Physics: Energy, 2022
Growth in the Li-ion battery market continues to accelerate, driven primarily by the increasing need for economic energy storage for electric vehicles.
P. Grant, D. Greenwood, K. Pardikar, Rachel Smith, T. Entwistle, Laurence A. Middlemiss, Glen J. Murray, S. Cussen, M. Lain, M. Capener, M. Copley, C. Reynolds, S. Hare, M. Simmons, E. Kendrick, S. Zankowski, Samuel Wheeler, Pengcheng Zhu, P. Slater, Yehui Zhang, A. Morrison, W. Dawson, Juntao Li, P. Shearing, D. Brett, G. Matthews, Ruihuan Ge, R. Drummond, E. Tredenick, Chuang Cheng, S. Duncan, Adam M. Boyce, M. Faraji-Niri, James Marco, L. Román-Ramírez, C. Harper, P. Blackmore, T. Shelley, Ahmad Mohsseni, D. Cumming   +39 more
semanticscholar   +1 more source

Exploits, advances and challenges benefiting beyond Li-ion battery technologies [PDF]

, 2020
The battery market is undergoing quick expansion owing to the urgent demand for mobile devices, electric vehicles and energy storage systems, convoying the current energy transition. Beyond Li-ion batteries are of high importance to follow these multiple-
A. E. Kharbachi, Olena Zavorotynska, M. Latroche, F. Cuevas, V. Yartys, Maximilian Fichtner   +5 more
semanticscholar   +1 more source

Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data – Part A : storage operation [PDF]

, 2020
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide accurate predictions under realistic operating conditions.
Ashwin, Badey, Candela, De Sutter, Dhundhara, Dubarry, Dubarry, Dubarry, Dubarry, Duvenaud, Ecker, Ecker, Eddahech, He, Herrera, Lewerenz, Lewerenz, Lewerenz, Li, Liu, Liu, Liu, Lopez-Ibarra, Lucu, Martinez-Laserna, Nitta, Nuhic, Peng, Petzl, Prabakar, Rasmussen, Redondo-iglesias, Redondo-iglesias, Reniers, Richardson, Richardson, Saez-De-Ibarra, Sarasketa-Zabala, Sarasketa-Zabala, Sarasketa-Zabala, Schmalstieg, Schmuch, Severson, Waldmann, Warnecke, Wilhelm, Yang, Yi, Yu, Zhou, Zubi   +50 more
core   +4 more sources

A novel adaptive dual extended Kalman filtering algorithm for the Li‐ion battery state of charge and state of health co‐estimation

International Journal of Energy Research, 2021
Accurate prediction of the state of health (SOH) of Li‐ion battery has an important role in the estimation of battery state of charge (SOC), which can not only improve the efficiency of battery usage but also ensure its safety performance.
Wenhua Xu, Shunli Wang, Cong Jiang, C. Fernandez, Chunmei Yu, Yongcun Fan, Wen Cao   +6 more
semanticscholar   +1 more source