Results 51 to 60 of about 65,480 (296)
Joint SOH-SOC Estimation Model for Lithium-Ion Batteries Based on GWO-BP Neural Network [PDF]
, 2022 The traditional ampere-hour (Ah) integration method ignores the influence of battery health (SOH) and considers that the battery capacity will not change over time. To solve the above problem, we proposed a joint SOH-SOC estimation model based on the GWO-
Jiawei Hou +3 more
core +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
A Novel Fusion Model for Battery Online State of Charge (SOC) Estimation
International Journal of Electrochemical Science, 2021 The state of charge (SOC) is a key parameter in battery management systems (BMSs). As an indirect parameter, accurately estimating the SOC has been an area of interest in battery research.
Yufang Li +3 more
doaj +1 more source
Arthritis Care &Research, Accepted Article.Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc), yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprising 38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
Energies, 2021 Many battery state of charge (SOC) estimation methods have been studied for decades; however, it is still difficult to precisely estimate SOC because it is nonlinear and affected by many factors, including the battery state and charge–discharge ...
Donghoon Shin +2 more
doaj +1 more source
Verification Platform of SOC Estimation Algorithm for Lithium-Ion Batteries of Electric Vehicles [PDF]
, 2022 As one of the core technologies of electric vehicles (EVs), the state of charge (SOC) estimation algorithm of lithium-ion batteries is directly related to the performance of the battery management system (BMS). Before EVs are put into the market, the SOC
Zhuojun Yu +5 more
core +1 more source
Exciton Binding Energy of Phosphorescent Emitter Molecules in Organic Light‐Emitting Diodes
Advanced Functional Materials, EarlyView.Energy level alignment is key to efficient OLED design, yet determining LUMO energies remains challenging. A methodology based on field‐induced dissociation and kinetic Monte Carlo simulations is presented to extract LUMO energies of iridium‐based phosphorescent emitters from their exciton binding energy.
Hiroki Tomita +6 more
wiley +1 more source
Multi-step ahead battery SOC estimation using data-driven prognostics and health management [PDF]
This paper proposes a data-driven multi-step ahead battery state of charge (SOC) forecasting system that can be used for prognostics and health management (PHM) of a battery management system (BMS).
Yu, H., McEwan, A., Pimentel, J.
core +1 more source
State-of-charge estimation algorithms and their implications on cells in parallel [PDF]
, 2014 State-of-Charge (SOC) of a battery is one of the most important parameters used by a Battery Management System (BMS). It is subsequently very important for the efficient functioning of an electric/hybrid vehicle.
McGordon, Andrew +8 more
core +1 more source
Time‐Resolved Magnetization Switching Dynamics Driven by Orbital Torques
Advanced Functional Materials, EarlyView.Du et al. reveal nanosecond magnetization switching driven by orbital currents using time‐resolved Hall detection. The measurements separate domain nucleation from domain wall propagation and show that Joule heating strongly assists switching by lowering energy barriers.
Ao Du +4 more
wiley +1 more source