Results 41 to 50 of about 629,061 (300)

Adaptive estimation of state of charge for lithium-ion batteries [PDF]

2013 American Control Conference, 2013
State of charge (SoC) estimation is a fundamental challenge in designing battery management systems. An adaptive SoC estimator, named as the AdaptSoC, is developed in this paper. It is able to estimate the SoC when the model parameters are unknown, through joint SoC and parameter estimation.
Huazhen Fang, Yebin Wang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara 0003   +4 more
openaire   +1 more source

State of Charge Estimation of LiFePO₄ in Various Temperature Scenarios

Batteries, 2023
The state estimation of a battery is a significant component of a BMS. Due to the poor temperature performance and voltage plateau phase in LiFePO4 batteries, the difficulty of state estimation is greatly increased.
Mingzhu Wang, Guan Wang, Zhanlong Xiao, Yuedong Sun, Yuejiu Zheng   +4 more
doaj   +1 more source

Continuous Charge Modulated Diagonal Phase in Manganites

, 2003
We present a novel ground state that explain the continuous modulated charge diagonal order recently observed in manganese oxides, at hole densities $x$ larger than one half.
C. H. Chen, E. Dagotto, J. Kanamori, Luis Brey   +3 more
core   +1 more source

A Novel Adaptive Particle Swarm Optimization Algorithm Based High Precision Parameter Identification and State Estimation of Lithium-Ion Battery

International Journal of Electrochemical Science, 2021
Lithium-ion batteries are widely used in new energy vehicles, energy storage systems, aerospace and other fields because of their high energy density, long cycle life and high-cost performance.
Mingfang He, Shunli Wang, Carlos Fernandez, Chunmei Yu, Xiaoxia Li, Etse Dablu Bobobee   +5 more
doaj   +1 more source

A Noise Covariance Regulated Robust Modified Adaptive Extended Kalman Filter for State of Charge Estimation of Lithium-Ion Battery

IEEE Access
A battery management system needs a robust algorithm for online state-of-charge estimation of batteries in different dynamic systems. Due to the ease of implementation, model-based state-of-charge estimation using the extended Kalman filter is popularly ...
Satyaprakash Rout, Satyajit Das
doaj   +1 more source

Computation-Communication Trade-offs and Sensor Selection in Real-time Estimation for Processing Networks

, 2020
Recent advances in electronics are enabling substantial processing to be performed at each node (robots, sensors) of a networked system. Local processing enables data compression and may mitigate measurement noise, but it is still slower compared to a ...
Ballotta, Luca, Carlone, Luca, Schenato, Luca   +2 more
core   +1 more source

Feasibility and Preliminary Efficacy of Integrative Neuromuscular Training for Childhood Cancer Survivors: A Pilot Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian, Robert U. Newton, Dennis R. Taaffe, Nicholas G. Gottardo, Santosh Valvi, Carolyn J. Peddle‐McIntyre, Jodie Cochrane Wilkie, Daniel A. Galvão   +7 more
wiley   +1 more source

Advancing State of Charge Management in Electric Vehicles With Machine Learning: A Technological Review

IEEE Access
As the share of electric vehicles increases, electric vehicles are exposed to broader of driving conditions (e.g., extreme weather), which reduce the performance and driving ranges of electric vehicles below their nameplate rating.
Arash Mousaei, Yahya Naderi, I. Safak Bayram   +2 more
doaj   +1 more source

Using Dynamic Neural Networks for Battery State of Charge Estimation in Electric Vehicles [PDF]

, 2018
Due to urban pollution, transport electrification is being currently promoted in different countries. Electric Vehicles (EVs) sales are growing all over the world, but there are still some challenges to be solved before a mass adoption of this type of ...
Alvaro-Hermana, Roberto, Castaño-Solis, Sandra, Fraile-Ardanuy, Jesús, Jiménez-Bermejo, David, Merino, Julia   +4 more
core   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source