Results 131 to 140 of about 1,149,335 (314)

State of Charge Estimation of Lithium-Ion Batteries Based on an Adaptive Iterative Extended Kalman Filter for AUVs. [PDF]

Sensors (Basel), 2022
Fu Y, Zhai B, Shi Z, Liang J, Peng Z.
europepmc   +1 more source

State-of-charge and state-of-health prediction of lead-acid batteries for hybrid electric vehicles using non-linear observers

, 2005
The paper describes the application of state-estimation techniques for the real-time prediction of state-of-charge (SoC) and state-of-health (SoH) of lead-acid cells.
D A Stone (17206678), P Bentley (17206966), Chris Bingham (17154028), B S Bhangu (17921417)   +3 more
core  

Grain Refinement During Severe Plastic Deformation and Similitude of Subgrain Formation: A Molecular Dynamics Study

Advanced Engineering Materials, EarlyView.
Molecular dynamics is used to investigate structure refinement during severe plastic deformation. The results show similitude with experimental data. Molecular dynamics simulations of severe plastic deformation of monocrystalline and polycrystalline samples by multiaxial compression of aluminum are carried out.
Roberto B. Figueiredo
wiley   +1 more source

A Novel Fusion Method for State-of-Charge Estimation of Lithium-Ion Batteries Based on Improved Genetic Algorithm BP and Adaptive Extended Kalman Filter. [PDF]

Sensors (Basel), 2023
Cao L, Shao C, Zhang Z, Cao S.
europepmc   +1 more source

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

Advanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal, Cevher Kursat Macit, Merve Ayık, Hakan Tutumlu   +3 more
wiley   +1 more source

State of Charge Estimation of Battery Based on Neural Networks and Adaptive Strategies with Correntropy. [PDF]

Sensors (Basel), 2022
Navega Vieira R, Mauricio Villanueva JM, Sales Flores TK, Tavares de Macêdo EC.   +3 more
europepmc   +1 more source

Electrified Damage in Motion Systems

Advanced Engineering Materials, EarlyView.
The electrified damage in motion systems is a fundamental framework presenting the degradation pathway arising from the coupling of electrical energy transport with mechanical contact and interfacial chemistry. The framework positions electrified damage as a distinct degradation regime with unique characteristic surface morphologies and failures of ...
M. Humaun Kabir, Angelina Nguyen, Hong Liang   +2 more
wiley   +1 more source

Joint State of Charge and State of Health Estimation Using Bidirectional LSTM and Bayesian Hyperparameter Optimization

IEEE Access
In this study, a novel Machine learning-based method for the joint State of Charge and State of Health estimation of Lithium Batteries that tackle real-world applications and with Bayesian Hyperparameter optimization is proposed.
Panagiotis Eleftheriadis, Spyridon Giazitzis, Julia Kowal, Sonia Leva, Emanuele Ogliari   +4 more
doaj   +1 more source

A Dual-Input Neural Network for Online State-of-Charge Estimation of the Lithium-Ion Battery throughout Its Lifetime. [PDF]

Materials (Basel), 2022
Qian C, Xu B, Xia Q, Ren Y, Yang D, Wang Z.   +5 more
europepmc   +1 more source

State of Charge Estimation of Energy Storage Battery Pack under Typical Peak/Frequency Modulation Conditions

To address the issue of low estimation accuracy of the state of charge (SOC) for an energy storage battery pack under typical energy storage conditions of a power grid, this paper proposes a new SOC estimation model based on kernel principal component ...
Wenjing XUAN, Muyu ZHU, Pengyu GUO, Hongzhong MA   +3 more
core   +1 more source