Results 81 to 90 of about 136,966 (295)

Lithium-Ion Batteries

International Journal of Electrochemical Science, 2019
Liuyang Zhao, Shilei Bian, Zhicheng Ju, Yongli Cui, Yanhua Cui, Yueli Shi, Quanchao Zhuang   +6 more
  +5 more sources

Modeling charge polarization voltage for large lithium-ion batteries in electric vehicles [PDF]

, 2013
Purpose: Polarization voltage of the lithium-ion battery is an important parameter that has direct influence on battery performance. The paper aims to analyze the impedance characteristics of the lithium-ion battery based on EIS data.
Jiang, Yan, Liu, Qiujiang, Shi, Wei, Zhang, Caiping, Zhang, Weige   +4 more
core  

Identification and characterization of the dominant thermal resistance in lithium-ion batteries using operando 3-omega sensors [PDF]

, 2020
Poor thermal transport within lithium-ion batteries fundamentally limits their performance, safety, and lifetime, in spite of external thermal management systems.
Battaglia, V, Fu, Y, Kaur, S, Lubner, SD, Prasher, RS   +4 more
core  

Bioinspired Polypeptide Dendrimer‐Modified Thin‐Film Composite Membranes for Selective Lithium‐Magnesium Separation with DFT Insights

Advanced Functional Materials, EarlyView.
We fabricated a biomimetic dendrimer‐modified thin‐film nanocomposite membrane with a coordination‐assisted ion‐selective interface. pH‐responsive polypeptide sites preferentially bind Mg2+ and promote Li+ permeation, as predicted by density functional theory calculations of metal‐ligand interactions.
Mehrasa Yassari, Seyedeh Fatemeh Seyedpour, Bamlak Setegne, Amir Aghaei, Behzad Ahvazi, Mostafa Dadashi Firouzjaei, Mark Elliott, Mohtada Sadrzadeh   +7 more
wiley   +1 more source

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

AQUEOUS LIQUID SOLUTIONS FOR LI-LIQUID BATTERY [PDF]

, 2012
poster abstractThe evolvement of Lithium-ion battery industries has begun to carry the industries to step in a new revolution. Consequently, high demand in high energy density batteries in many electronic and electrical appliances, espe-cially energy ...
Cheah, Seong Shen, Chen, Rongrong, Kim, Youngsik, Lee, Wen Chao, Mahootcheian Asl, Nina, Salim, Jason   +5 more
core  

Frontier Advances of Emerging High‐Entropy Anodes in Alkali Metal‐Ion Batteries

Advanced Functional Materials, EarlyView.
Recent advances in microscopic morphology control of high‐entropy anode materials for alkali metal‐ion batteries. Abstract With the growing demand for sustainable energy, portable energy storage systems have become increasingly critical. Among them, the development of rechargeable batteries is primarily driven by breakthroughs in electrode materials ...
Liang Du, Kaidi Zhang, Liang Wang, Di Zhao, Mengqing Hu, Mingli Li, Ming Zhou, Zhenzhen Wu, Mengyang Dong, Bo Fu, Porun Liu, Yun Wang, Hongxia Wang, Yuantong Gu, Lei Zhang   +14 more
wiley   +1 more source

Model Reduction for Multiscale Lithium-Ion Battery Simulation

, 2016
In this contribution we are concerned with efficient model reduction for multiscale problems arising in lithium-ion battery modeling with spatially resolved porous electrodes.
A. Latz, A. Wesche, B. Haasdonk, F. Ciucci, J.S. Hesthaven, M. Barrault, M. Drohmann, M. Ohlberger, O. Iliev, O. Lass, P. Bastian, P. Bastian, S. Golmon, S. Kaulmann, S. Kaulmann, S.C. Chen   +15 more
core   +1 more source

A Nonlinear Prediction Method of Lithium-Ion Battery Remaining Useful Life Considering Recovery Phenomenon

International Journal of Electrochemical Science, 2020
Remaining useful life (RUL) prediction is the core of prognostic and health management (PHM). Lithium-ion battery is an important power source in the new energy field. Predicting its RUL accurately has great significance to the development of new energy.
Zhenyu Zhang, Zhen Peng, Yong Guan, Lifeng Wu   +3 more
doaj   +1 more source

Novel Functional Materials via 3D Printing by Vat Photopolymerization

Advanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov, Patrick Fesser, Boris A. Bulgakov, Ulrich S. Schubert   +3 more
wiley   +1 more source