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[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
Advances in battery state estimation of battery management system in electric vehicles
M Jiang, D Li, Z Li, Z Chen, Q Yan, F Lin, C Yu… - Journal of Power …, 2024 - Elsevier
Lithium-ion batteries (LIBs) have emerged as an indispensable component in the
development of green transportation such as electric vehicles (EVs) and large-scale …
development of green transportation such as electric vehicles (EVs) and large-scale …
Co-estimating the state of charge and health of lithium batteries through combining a minimalist electrochemical model and an equivalent circuit model
Z Xu, J Wang, PD Lund, Y Zhang - Energy, 2022 - Elsevier
Accurate estimation of the state of charge (SOC) and state of health (SOH) is a fundamental
requirement for the management system of a lithium-ion battery, but also important to the …
requirement for the management system of a lithium-ion battery, but also important to the …
State of charge estimation of an electric vehicle's battery using Deep Neural Networks: Simulation and experimental results
S El Fallah, J Kharbach, Z Hammouch… - Journal of Energy …, 2023 - Elsevier
Abstract State of Charge (SoC) estimation of Lithium-ion batteries is critical for battery
management systems. The SoC is one of the most crucial parameters that must be …
management systems. The SoC is one of the most crucial parameters that must be …
State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network
J Chen, X Feng, L Jiang, Q Zhu - Energy, 2021 - Elsevier
To reduce the influence of the measurement data noise on state of charge (SOC) estimation,
a novel neural network method is proposed by combining an input data processing method …
a novel neural network method is proposed by combining an input data processing method …
Robust lithium-ion state-of-charge and battery parameters joint estimation based on an enhanced adaptive unscented Kalman filter
J Hou, J Liu, F Chen, P Li, T Zhang, J Jiang, X Chen - Energy, 2023 - Elsevier
Accurate modeling and state of charge (SOC) estimation of lithium-ion battery against the
model uncertainty and data uncertainty are difficult tasks nowadays. In this paper, a model …
model uncertainty and data uncertainty are difficult tasks nowadays. In this paper, a model …
Enhanced extended-input LSTM with an adaptive singular value decomposition UKF for LIB SOC estimation using full-cycle current rate and temperature data
Accurately estimating the state of charge (SOC) of lithium-ion batteries by the battery
management system (BMS) is crucial for efficient energy management and power …
management system (BMS) is crucial for efficient energy management and power …
Data-driven state of charge estimation for power battery with improved extended Kalman filter
Accurately monitoring battery state of charge (SOC) is essential for battery system safety.
However, single and open-loop combination algorithms are mainly used for SOC estimation …
However, single and open-loop combination algorithms are mainly used for SOC estimation …
A novel convolutional informer network for deterministic and probabilistic state-of-charge estimation of lithium-ion batteries
Accurate and real-time state-of-charge (SOC) estimation for lithium-ion batteries (LiB) is
crucial for battery management system. However, the nonlinearity and complex dynamic …
crucial for battery management system. However, the nonlinearity and complex dynamic …
Online identification of battery model parameters and joint state of charge and state of health estimation using dual particle filter algorithms
Y Xu, X Chen, H Zhang, F Yang, L Tong… - … Journal of Energy …, 2022 - Wiley Online Library
Aiming at the problems of time‐varying battery parameters and inaccurate estimations of
state of charge (SOC) and state of health (SOH), a joint estimation algorithm of SOC and …
state of charge (SOC) and state of health (SOH), a joint estimation algorithm of SOC and …