Results 71 to 80 of about 136,971 (218)

Comparison of VTOL UAV Battery Level for Propeller Faulty Classification Model

open access: yesJOIV: International Journal on Informatics Visualization
The degradation of batteries in UAVs may result in various problems, such as connectivity troubles, flight delays, and unexpected accidents. Flight safety and reliability are affected by propeller efficiency and performance.
Fareisya Zulaikha Mohd Sani   +4 more
doaj   +1 more source

Receptor‐Free Identification of Toxic Gases Enabled by Hygroscopic Aqueous Salt Films

open access: yesAdvanced Functional Materials, EarlyView.
Water as a gas sensor coating sounds impossible—until it stops evaporating. Here, hygroscopic salt solutions (LiCl, LiBr, H3PO4) form non‐drying aqueous films on CNT chemiresistors under ambient air. Gases partition into these liquid layers, sometimes transforming into water, and generate salt‐specific resistance fingerprints across a four‐channel ...
Seongwoo Lee   +5 more
wiley   +1 more source

Deep learning from three-dimensional Lithium-ion battery multiphysics model Part II: Convolutional neural network and long short-term memory integration

open access: yesEnergy and AI
Lithium-ion (Li-ion) batteries have emerged as a cornerstone of electric vehicles (EVs), enabling the road transportation towards net zero. The success of electric vehicles largely hinges on the battery performance and safety.
Yiheng Pang   +3 more
doaj   +1 more source

Preliminary Design of a Small Unmanned Battery Powered Tailsitter

open access: yesInternational Journal of Aerospace Engineering, 2016
This paper presents a preliminary design methodology for small unmanned battery powered tailsitters. Subsystem models, including takeoff weight, power and energy consumption models, and battery discharge model, were investigated, respectively.
Bo Wang   +4 more
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

A Review of Lithium‐Ion Battery Empirical and Semi‐Empirical Aging Models for Off‐Grid Renewable Energy Systems Application

open access: yesEngineering Reports
Aging of lithium‐ion (Li‐ion) batteries in off‐grid renewable energy systems (RESs) can be monitored and controlled using battery management systems (BMSs) which utilize battery aging models. Empirical and semi‐empirical models (EMs) of battery aging are
Isaac Gwayi   +2 more
doaj   +1 more source

Development of a Three‐Axis Planar Hall Magnetoresistance Sensor Using a Superparamagnetic Nanoparticle‐Based Flux Guide

open access: yesAdvanced Functional Materials, EarlyView.
A printed superparamagnetic nanoparticle‐based flux guide enables the realization of a hysteresis‐free three‐axis magnetic sensor. This innovative architecture efficiently redirects out‐of‐plane fields to planar sensing elements, facilitating simultaneous vector detection without complex reset protocols.
Changyeop Jeon   +10 more
wiley   +1 more source

Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies

open access: yesAdvanced Functional Materials, EarlyView.
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke   +3 more
wiley   +1 more source

Optimizing EV Battery Management: Advanced Hybrid Reinforcement Learning Models for Efficient Charging and Discharging

open access: yesEnergies
This paper investigates the application of hybrid reinforcement learning (RL) models to optimize lithium-ion batteries’ charging and discharging processes in electric vehicles (EVs).
Sercan Yalçın, Münür Sacit Herdem
doaj   +1 more source

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