Results 101 to 110 of about 736,057 (283)

Mechanism and Data-Driven Fusion SOC Estimation

open access: yesEnergies
An accurate assessment of the state of charge (SOC) of electric vehicle batteries is critical for implementing frequency regulation and peak shaving. This study proposes mechanism- and data-driven SOC fusion calculation methods. First, a second-order Thevenin battery model is developed to obtain the physical parameters of the battery. Second, data from
Aijun Tian   +4 more
openaire   +2 more sources

Long‐Term Elevated CO2 Improves Soil Health and Rice Yields in Paddy Fields

open access: yesAdvanced Science, EarlyView.
Combining the two longest‐running rice free‐air CO2 enrichment experiments with a global data synthesis, this study demonstrates that long‐term elevated CO2 consistently enhances soil health. In rice paddies, this improvement sustains the CO2 fertilization effect over decades.
Fan Jiang   +22 more
wiley   +1 more source

State of charge estimation of battery in mine-used movable lifesaving cabin based on extended Kalman filtering method

open access: yesGong-kuang zidonghua, 2013
In view of problem of low precision in SOC estimation of battery in mine-used movable lifesaving cabin based on ampere hour method under condition of higher fluctuation of environment temperature or discharge current, the paper proposed a SOC estimation ...
WANG Sha-sha   +4 more
doaj  

An Improved Model Equation Based on a Gaussian Function Trinomial for State of Charge Estimation of Lithium-ion Batteries

open access: yesEnergies, 2019
Establishing a model equation with high accuracy and high computational efficiency is very important for the estimation of battery state of charge (SOC).
Jinqing Linghu   +4 more
doaj   +1 more source

Estimation of nonlinear differential equation model for glucose-insulin dynamics in type I diabetic patients using generalized smoothing

open access: yes, 2014
In this work we develop an ordinary differential equations (ODE) model of physiological regulation of glycemia in type 1 diabetes mellitus (T1DM) patients in response to meals and intravenous insulin infusion.
Apanasovich, Tatiyana V.   +4 more
core   +1 more source

Magnetic Anisotropy Modulation via van der Waals Gap Engineering in 2D Ferromagnet Fe4GeTe2

open access: yesAdvanced Science, EarlyView.
This study demonstrates a new route to control magnetic anisotropy in 2D ferromagnets via van der Waals gap engineering. In Fe4GeTe2, an interface‐induced vdW gap expansion is found to anomalously enhance in‐plane magnetic anisotropy while suppressing the spin reorientation transition.
Weiran Xie   +13 more
wiley   +1 more source

State-of-Charge Estimation of Lithium-Ion Battery Integrated in Electrical Vehicle Using a Long Short-Term Memory Network

open access: yesIEEE Access
Improving the accuracy of state-of-charge (SoC) estimation is crucial for electric vehicles (EVs) using Lithium-Ion batteries (LiBs). This helps users reliably predict driving range and optimize the charging process, thereby extending battery life and ...
Chi Nguyen van   +4 more
doaj   +1 more source

Magnetic and Crystal Symmetry Control on Spin Hall Conductivity in Altermagnets

open access: yesAdvanced Science, EarlyView.
Crystal structures and schematic illustrations of the spin Hall effect (SHE) in altermagnets. High‐symmetry RuO2 exhibits conventional SHE, while tilted RuO2 shows trivial unconventional SHE (USHE) caused by structural tilting. CrSb and MnTe, with reduced magnetic symmetry, display intrinsic USHE arising from symmetry‐driven spin–momentum locking ...
Dameul Jeong   +2 more
wiley   +1 more source

State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches

open access: yesIEEE Access
Precise estimation of both state-of-charge (SoC) and state-of-health (SoH) is crucial for optimizing electric vehicle (EV) performance and enhancing the battery lifetime, safety, and reliability, where machine learning (ML) plays a vital role in this ...
Aya Haraz   +2 more
doaj   +1 more source

An Adaptive Square Root Unscented Kalman Filter Approach for State of Charge Estimation of Lithium-Ion Batteries

open access: yesEnergies, 2017
An accurate state of charge (SOC) estimation is of great importance for the battery management systems of electric vehicles. To improve the accuracy and robustness of SOC estimation, lithium-ion battery SOC is estimated using an adaptive square root ...
Shulin Liu, Naxin Cui, Chenghui Zhang
doaj   +1 more source

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