Results 31 to 40 of about 724,994 (302)

Influence of Battery Parametric Uncertainties on the State-of-Charge Estimation of Lithium Titanate Oxide-Based Batteries

open access: yesEnergies, 2018
State of charge (SOC) is one of the most important parameters in battery management systems, as it indicates the available battery capacity at every moment.
Ana-Irina Stroe   +5 more
doaj   +1 more source

Maximum-likelihood estimation for diffusion processes via closed-form density expansions [PDF]

open access: yes, 2013
This paper proposes a widely applicable method of approximate maximum-likelihood estimation for multivariate diffusion process from discretely sampled data.
Li, Chenxu
core   +1 more source

Introduction of SOC estimation method

open access: yesIOP Conference Series: Earth and Environmental Science, 2021
Abstract This paper introduces the definition of SOC estimation and analyzes the common estimation methods, including discharge experiment method, open circuit voltage method, internal resistance method, ampere hour method, linear model method, neural network algorithm and Kalman filter method.
openaire   +1 more source

Leveraging Cell Expansion Sensing in State of Charge Estimation: Practical Considerations

open access: yesEnergies, 2020
Measurements such as current and terminal voltage that are typically used to determine the battery’s state of charge (SOC) are augmented with measured force associated with electrode expansion as the lithium intercalates in its structure. The combination
Miriam A. Figueroa-Santos   +2 more
doaj   +1 more source

Accurate State of Charge Estimation for Real-World Battery Systems Using a Novel Grid Search and Cross Validated Optimised LSTM Neural Network

open access: yesEnergies, 2022
State of charge (SOC) is one of the most important parameters in battery management systems, and the accurate and stable estimation of battery SOC for real-world electric vehicles remains a great challenge.
Jichao Hong   +4 more
doaj   +1 more source

Application of a maximum likelihood processor to acoustic backscatter for the estimation of seafloor roughness parameters [PDF]

open access: yes, 1994
Maximum likelihood (ML) estimation is used to extract seafloor roughness parameters from records of acoustic backscatter. The method relies on the Helmholtz–Kirchhoff approximation under the assumption of a power‐law roughness spectrum and on the ...
de Moustier, Christian   +1 more
core   +2 more sources

Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique [PDF]

open access: yes, 2018
Battery equivalent circuit models (ECMs) are widely employed in online battery management applications. The model parameters are known to vary according to the operating conditions, such as the battery state of charge (SOC) and the ambient temperature ...
Allafi, Walid   +4 more
core   +1 more source

Quantum Algorithms Revisited [PDF]

open access: yes, 1997
Quantum computers use the quantum interference of different computational paths to enhance correct outcomes and suppress erroneous outcomes of computations.
Cleve, Richard   +3 more
core   +5 more sources

State-of-Charge Estimation of Lithium-Ion Batteries Based on Dual-Coefficient Tracking Improved Square-Root Unscented Kalman Filter

open access: yesBatteries, 2023
Accurate state of charge (SOC) estimation is helpful for battery management systems to extend batteries’ lifespan and ensure the safety of batteries. However, due to the pseudo-positive definiteness of the covariance matrix and noise statistics error ...
Simin Peng   +5 more
doaj   +1 more source

Effect of mean on variance function estimation in nonparametric regression [PDF]

open access: yes, 2008
Variance function estimation in nonparametric regression is considered and the minimax rate of convergence is derived. We are particularly interested in the effect of the unknown mean on the estimation of the variance function. Our results indicate that,
Brown, Lawrence D.   +3 more
core   +3 more sources

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