Results 21 to 30 of about 2,681,157 (259)

Integration of Computational Fluid Dynamics and Artificial Neural Network for Optimization Design of Battery Thermal Management System

, 2022
The increasing popularity of lithium-ion battery systems, particularly in electric vehicles and energy storage systems, has gained broad research interest regarding performance optimization, thermal stability, and fire safety.
Qing Nian Chan, Guan Heng Yeoh, Wei Yang, Wei Wu, Sanghoon Kook, Ao Li, Timothy Bo Yuan Chen, Wei Wang, Chun Sing Lai, Anthony Chun Yin Yuen   +9 more
core   +1 more source

Dynamic Interfacial Stability Confirmed by Microscopic Optical Operando Experiments Enables High‐Retention‐Rate Anode‐Free Na Metal Full Cells

Advanced Science, 2021
Rechargeable alkali metal anodes hold the promise to significantly increase the energy density of current battery technologies. But they are plagued by dendritic growths and solid‐electrolyte interphase (SEI) layers that undermine the battery safety and ...
Bingyuan Ma, Youngju Lee, Peng Bai
doaj   +1 more source

A review of energy storage technologie sfor marine current energy systems [PDF]

, 2013
Increasing concerns about the depletion of fossil resources and the issue of environment lead to a global need for producing more clean energy from renewable sources. Ocean is appreciated as a vast source of renewable energies.
CHARPENTIER, Jean-Frederic, SCUILLER, Franck, BENBOUZID, Mohamed, ZHOU, Zhibin, Frédéric Charpentier, Jean, TANG, Tianhao   +5 more
core   +1 more source

Surface-Functionalized Separator for Stable and Reliable Lithium Metal Batteries: A Review

Nanomaterials, 2021
Metallic Li has caught the attention of researchers studying future anodes for next-generation batteries, owing to its attractive properties: high theoretical capacity, highly negative standard potential, and very low density. However, inevitable issues,
Patrick Joohyun Kim
doaj   +1 more source

Structural optimization and battery temperature prediction of battery thermal management system based on machine learning

Case Studies in Thermal Engineering
Lithium-ion batteries significantly extend the driving range for electric motorcycles. The battery thermal management system (BTMS) is critical for achieving optimal battery performance.
Xiaoyong Gu, Wenbo Lei, Jiacheng Xi, Mengqiang Song   +3 more
doaj   +1 more source

Investigation and optimization of battery thermal management system based on composite phase change material and variable wall liquid cooling plate

International Journal of Thermofluids
To mitigate the risk of thermal runaway in lithium-ion batteries, an efficient battery thermal management system (BTMS) assumes paramount importance. A BTMS based on composite phase change material (CPCM) and variable wall liquid cooling plate (LCP) is ...
Xiaoyong Gu, Wenbo Lei, Jiacheng Xi, Mengqiang Song   +3 more
doaj   +1 more source

A critical evaluation of deterministic methods in size optimisation of reliable and cost effective standalone Hybrid renewable energy systems [PDF]

, 2014
Reliability of a hybrid renewable energy system (HRES) strongly depends on various uncertainties affecting the amount of power produced by the system.
Maheri, Alireza
core   +1 more source

Assessment of Health Indicators to Detect the Aging State of Commercial Second-Life Lithium-Ion Battery Cells through Basic Electrochemical Cycling

, 2023
Upon reaching certain limits, electric vehicle batteries are replaced and may find a second life in various applications. However, the state of such batteries in terms of aging and safety remains uncertain when they enter the second-life market.
Patrick Höschele, Emanuele Michelini, Christian Ellersdorfer, Syed Muhammad Abbas, Jörg Moser   +4 more
core   +1 more source

Insights into gas generation and self-absorption in lithium-ion batteries after fast charge aging: Mechanism and implications

Applications in Energy and Combustion Science
Lithium-ion batteries (LIBs) are susceptible to accelerated degradation, swelling, and safety concerns under fast-charging conditions, largely due to gas generation and related side reactions.
Meng Wang, Senming Wu, Ying Chen, Yiming Yao, Weiling Luan, Haofeng Chen   +5 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source