Results 61 to 70 of about 116,257 (295)

Novel hybrid thermal management for Li-ion batteries with nanofluid cooling in the presence of alternating magnetic field: An experimental study

open access: yesCase Studies in Thermal Engineering, 2021
Lithium-ion batteries' dependability, efficiency, and security significantly rely on thermal management systems. This paper aims to design a novel battery thermal management system consisting of metal foam-paraffin PCM composite, nanofluid cooling, and ...
Mehrdad Kiani   +4 more
doaj   +1 more source

Towards an Ultimate Battery Thermal Management System: A Review [PDF]

open access: yesBatteries, 2017
The prevailing standards and scientific literature offer a wide range of options for the construction of a battery thermal management system (BTMS). The design of an innovative yet well-functioning BTMS requires strict supervision, quality audit and continuous improvement of the whole process. It must address all the current quality and safety (Q&S)
Mohammad Khan   +2 more
openaire   +4 more sources

Zebra battery technologies for all electric smart car [PDF]

open access: yes, 2006
This paper describes the operational behaviour and advantages of the high temperature, sodium nickel chloride (Zebra) battery, for use in all electric urban (city) vehicles.
Bingham, Chris   +2 more
core   +1 more source

Electrosynthesis of Bioactive Chemicals, From Ions to Pharmaceuticals

open access: yesAdvanced Functional Materials, EarlyView.
This review discusses recent advances in electrosynthesis for biomedical and pharmaceutical applications. It covers key electrochemical materials enabling precise delivery of ions and small molecules for cellular modulation and disease treatment, alongside catalytic systems for pharmaceutical synthesis.
Gwangbin Lee   +4 more
wiley   +1 more source

Phase change materials for battery thermal management of electric and hybrid vehicles: A review

open access: yesEnergy Nexus, 2022
Battery is essential parts of an electric and hybrid electric vehicle. Good amount of heat is generated by charging and discharging actions. For maximum efficiency, reliability of utmost necessary to conserve the optimum temperature by employing a proper
Adil Wazeer   +4 more
doaj   +1 more source

Smart grid interoperability use cases for extending electricity storage modeling within the IEC Common Information Model [PDF]

open access: yes, 2012
Copyright @ 2012 IEEEThe IEC Common Information Model (CIM) is recognized as a core standard, supporting electricity transmission system interoperability. Packages of UML classes make up its domain ontology to enable a standardised abstraction of network
Carter, A, Hargreaves, N, Taylor, GA
core   +1 more source

Photo‐Switching Thermal and Lithium‐Ion Conductivity in Azobenzene Polymers

open access: yesAdvanced Functional Materials, EarlyView.
Light‐responsive azobenzene polymers control thermal and ionic transport simultaneously through structural transitions. UV illumination disrupts π–π stacking, converting crystalline trans states to amorphous cis configurations. Thermal conductivity drops from 0.45 to 0.15 W·m−1·K−1 while Li+ diffusivity increases 100 fold. This dual transport switching
Jaeuk Sung   +7 more
wiley   +1 more source

Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications

open access: yesIEEE Access, 2023
The second-generation hybrid and Electric Vehicles are currently leading the paradigm shift in the automobile industry, replacing conventional diesel and gasoline-powered vehicles.
R. Ranjith Kumar   +5 more
doaj   +1 more source

Developing vanadium redox flow technology on a 9-kW 26-kWh industrial scale test facility: Design review and early experiments [PDF]

open access: yes, 2018
Redox Flow Batteries (RFBs) have a strong potential for future stationary storage, in view of the rapid expansion of renewable energy sources and smart grids.
Alotto, Piergiorgio   +3 more
core   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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