Results 101 to 110 of about 1,149,335 (314)

Composition‐Tuned Enhancement of the Anomalous Nernst Effect in FeCo–Pt Thin Films on Rigid and Flexible Substrates

open access: yesAdvanced Engineering Materials, EarlyView.
Disordered (Fe50Co50)1−xPtx thin films exhibit a pronounced anomalous Nernst effect (ANE) with a strong composition dependence on both rigid and flexible substrates. The transverse thermoelectric response peaks near 22.5 at.% Pt, accompanied by enhanced αxy/σxy scaling, thermal transport, and ANE sensitivity.
Mojtaba Mohammadi   +2 more
wiley   +1 more source

Lithium-Ion Battery Health Management and State of Charge (SOC) Estimation Using Adaptive Modelling Techniques

open access: yesEnergies
Effective health management and accurate state of charge (SOC) estimation are crucial for the safety and longevity of lithium-ion batteries (LIBs), particularly in electric vehicles.
Houda Bouchareb   +3 more
doaj   +1 more source

STATIC STATE ESTIMATION AND LOAD FORECASTING VIA ADVANCED COMPUTATIONAL TECHNIQUES

open access: yes, 2019
The system operator faced high level of uncertainties due to the evolving complexity of the electric power systems. Therefore, efficient solutions for power system prediction, monitoring and state estimation can be found in new methods.
Mosbah, Hossam
core  

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

open access: yesAdvanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares   +3 more
wiley   +1 more source

Online Cell-by-Cell Calibration Method to Enhance the Kalman-Filter-Based State-of-Charge Estimation

open access: yesBatteries
Kalman filter (KF) is an effective way to estimate the state-of-charge (SOC), but its performance is heavily dependent on the state-space model parameters.
Ngoc-Thao Pham   +3 more
doaj   +1 more source

Overview of batteries State of Charge estimation methods

open access: yesTransportation Research Procedia, 2019
Abstract In the present, electric and hybrid electric vehicles are more and more common. Usually, the main source of energy are batteries. To achieve optimal utilization and protection of batteries, battery management is used. This battery management system prevents batteries from overdischarge and overcharge and provides cell balancing.
Matúš Danko   +3 more
openaire   +1 more source

A probabilistic hypothesis density filter for traffic flow estimation in the presence of clutter [PDF]

open access: yes, 2012
Prediction of traffic flow variables such as traffic volume, travel speed or travel time for a short time horizon is of paramount importance in traffic control.
Romain Billot   +9 more
core   +1 more source

Karl Popper and the Mechanisms of Hydrogen Embrittlement

open access: yesAdvanced Engineering Materials, EarlyView.
Representation of the beginning of loss of ductility rather than embrittlement. Small concentrations of hydrogen in a diffusible form within iron are well‐established to harm the mechanical integrity of steels. There are theories that attempt to explain the pernicious role of hydrogen.
H. K. D. H. Bhadeshia
wiley   +1 more source

State of Charge Estimation Accuracy in Charge Sustainable Mode of Hybrid Electric Vehicles

open access: yes, 2017
The charge sustaining mode of a hybrid electric vehicle maintains the state of charge of the battery within a predetermined narrow band. Due to the poor system observability in this range, the state of charge estimation is tricky, and inadequate prior ...
Frisk, Erik,   +9 more
core   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

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