Review on state of charge estimation techniques of lithium-ion batteries: A control-oriented approach

N Ghaeminezhad, Q Ouyang, J Wei, Y Xue… - Journal of Energy …, 2023 - Elsevier
Energy storage has become one of the most critical issues of modern technology. In this
regard, lithium-ion batteries have proven effective as an energy storage option. To optimize …

[HTML][HTML] Managing the surge: A comprehensive review of the entire disposal framework for retired lithium-ion batteries from electric vehicles

R Guo, F Wang, MA Rhamdhani, Y Xu… - Journal of Energy …, 2024 - Elsevier
Anticipating the imminent surge of retired lithium-ion batteries (R-LIBs) from electric vehicles,
the need for safe, cost-effective and environmentally friendly disposal technologies has …

State-of-power estimation for lithium-ion batteries based on a frequency-dependent integer-order model

X Lai, M Yuan, X Tang, Y Zheng, J Zhu, Y Sun… - Journal of Power …, 2024 - Elsevier
Power capability of lithium-ion batteries is strongly correlated with electric vehicle's
accelerating and braking performance. However, the estimate of state-of-power relies highly …

A curve relocation approach for robust battery open circuit voltage reconstruction and capacity estimation based on partial charging data

R Guo, Y Xu, C Hu, W Shen - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
This article proposes a curve relocation approach for robust battery open circuit voltage
(OCV) reconstruction and capacity estimation based on partial charging data. First, an …

State of charge estimation of lithium batteries: Review for equivalent circuit model methods

Z Tao, Z Zhao, C Wang, L Huang, H Jie, H Li, Q Hao… - Measurement, 2024 - Elsevier
Lithium batteries play a crucial role in powering modern technology due to their high energy
density, long life span, low self-discharge rate, making them indispensable for numerous …

An information analysis based online parameter identification method for lithium-ion batteries in electric vehicles

R Guo, W Shen - IEEE Transactions on Industrial Electronics, 2023 - ieeexplore.ieee.org
This article proposes an information analysis-based multiple adaptive forgetting factors (FFs)
recursive least squares (IA-MAFF-RLS) method to identify model parameters of lithium-ion …

An adaptive approach for battery state of charge and state of power co-estimation with a fractional-order multi-model system considering temperatures

R Guo, C Hu, W Shen - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
State of charge (SOC) and state of power (SOP) are two critical indices for lithium-ion
batteries. Due to the complex operating environment in real applications, battery …

A framework for joint SOC and SOH estimation of lithium-ion battery: eliminating the dependency on initial states

X Zeng, Y Sun, X **a, L Chen - Applied Energy, 2025 - Elsevier
Abstract Model-based methods are prevalently used for estimating battery states, which
forms the foundation of battery management systems. However, the efficacy of these …

Self-adaptive neural network-based fractional-order nonlinear observer design for state of charge estimation of lithium-ion batteries

R Guo, Y Xu, C Hu, W Shen - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
Accurate state of charge (SOC) estimation provides an essential basis for the functionalities
of battery management systems in electric vehicles (EVs). However, conventional equivalent …

A current dynamics model and proportional–integral observer for state-of-charge estimation of lithium-ion battery

L He, X Hu, G Yin, G Wang, X Shao, J Liu - Energy, 2024 - Elsevier
Compared with the battery voltage error, in this article, the battery current error between the
predicted current and the measured, is used as the input of the observer to estimate the state …