This paper presents an application of Gaussian process regression (GPR) to estimate a state of charge (SoC) of Lithium-ion (Li-ion) batteries with different ...
In this paper, a novel data-driven SOC estimation approach for Lithium-ion (Li-ion) batteries is proposed based on the Gaussian process regression framework.
Gaussian Process Regression algorithms are being applied to the battery field. Specifically, to the problem of future battery voltage prediction, as the final ...
Dec 21, 2016 · This paper presents an application of Gaussian process regression (GPR) to estimate a state of charge (SoC) of Lithium-ion (Li-ion) ...
Abstract—This paper presents an application of Gaussian process regression (GPR) to estimate a state of charge (SoC) of Lithium-ion (Li-ion) batteries with ...
We present a novel approach for adaptive SoC estimation based on Gaussian Process Regression in this paper (GPR).
Oct 22, 2024 · Online state of charge estimation for Lithium-ion batteries using Gaussian process regression. October 2016. Gozde Ozcan · Milutin ...
A new method based on Gaussian process regression (GPR) is proposed. The SOC estimated value at the previous time is used as the feedback vector.
This paper presents a new online method for state-of charge (SoC) estimation of Lithium- ion (Li-ion) batteries based on sparse Gaussian process regression (GPR) ...
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Jul 11, 2024 · Adaptive state of health estimation for lithium-ion batteries based on an improved gaussian process regression model. IEEE Access. 2020;8 ...