Leveraging Cell Expansion Sensing in State of Charge Estimation: Practical Considerations
Energies, 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
Energies, 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
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Quantum Algorithms Revisited [PDF]
, 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
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Effect of mean on variance function estimation in nonparametric regression [PDF]
, 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
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RLS with Optimum Multiple Adaptive Forgetting Factors for SoC and SoH Estimation of Li-Ion Battery [PDF]
, 2017 Recursive least square (RLS) with a single forgetting factor has been commonly used for parameter and state estimation of dynamical systems. In many applications such as robotics, electric vehicles, renewable energy systems, and smart-grid, accurate ...
Kanarachos, Stratis +3 more
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Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique [PDF]
, 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
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Batteries, 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
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Application of a maximum likelihood processor to acoustic backscatter for the estimation of seafloor roughness parameters [PDF]
, 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
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A Novel State Estimation Approach Based on Adaptive Unscented Kalman Filter for Electric Vehicles
IEEE Access, 2020 Accurately estimating the state-of-charge (SOC) of battery is of particular importance for real-time monitoring and safety control in electric vehicles. To obtain better SOC estimation accuracy, a joint modeling method based on adaptive unscented Kalman ...
Jiabo Li +4 more
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Adaptive Integral Correction-Based State of Charge Estimation Strategy for Lithium-Ion Cells
IEEE Access, 2022 Lithium-ion (Li-ion) battery systems are critical elements of future energy systems and electric vehicles. Accurate prediction of the state of charge (SoC) is necessary for the safe and reliable functioning of Li-ion battery systems.
C. Vishnu, Abdul Saleem
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