Review of electric vehicle charging technologies, standards, architectures, and converter configurations

SSG Acharige, ME Haque, MT Arif… - IEEE …, 2023 - ieeexplore.ieee.org
Electric Vehicles (EVs) are projected to be one of the major contributors to energy transition
in global transportation due to their rapid expansion. High-level EVs integration into the …

Kalman filtering techniques for the online model parameters and state of charge estimation of the Li-ion batteries: A comparative analysis

M Hossain, ME Haque, MT Arif - Journal of Energy Storage, 2022 - Elsevier
The state of charge (SoC) is the most commonly used performance indicator of battery used
in various applications. A chronic erroneous estimation of battery SoC may result in constant …

State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

X Shu, S Shen, J Shen, Y Zhang, G Li, Z Chen, Y Liu - Iscience, 2021 - cell.com
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …

A comprehensive review of state of charge estimation in lithium-ion batteries used in electric vehicles

V Selvaraj, I Vairavasundaram - Journal of Energy Storage, 2023 - Elsevier
In the recent era, Electric Vehicles (EVs) has been emerged as the top concern in the
automobile sector because of their eco-friendly nature. The application of Lithium-ion …

Remaining useful life estimation for prognostics of lithium-ion batteries based on recurrent neural network

M Catelani, L Ciani, R Fantacci… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Prognostic and condition-based maintenance of lithium-ion batteries is a fundamental topic,
which is rapidly expanding since a long battery lifetime is required to ensure economic …

A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries …

S Wang, P Takyi-Aninakwa, Y Fan, C Yu, S Jin… - International Journal of …, 2022 - Elsevier
Accurate state of charge (SOC) and closed-circuit voltage (CCV) prediction is essential for
lithium-ion batteries and their model performance. In this study, a novel feedback correction …

Simultaneously estimating two battery states by combining a long short-term memory network with an adaptive unscented Kalman filter

TE Fan, SM Liu, X Tang, B Qu - Journal of Energy Storage, 2022 - Elsevier
Accurate state of charge (SOC) and state of energy (SOE) estimations for lithium-ion
batteries (LIBs) are of great significance in battery management system (BMS). Especially …

Real-time state of charge estimation for electric vehicle power batteries using optimized filter

A Maheshwari, S Nageswari - Energy, 2022 - Elsevier
The main focus of the battery management system is the estimation of the battery's State of
Charge (SOC), which is an indicator to determine the driving range of an electric vehicle …

[HTML][HTML] Modelling Li-ion batteries using equivalent circuits for renewable energy applications

SJ Navas, GMC González, FJ Pino, JJ Guerra - Energy Reports, 2023 - Elsevier
During the last decades, environmental policies have advanced the promotion of renewable
energy sources, opening a market for smart-grids both connected and disconnected from the …

Real-time state of charge estimation of lithium-ion batteries using optimized random forest regression algorithm

MSH Lipu, MA Hannan, A Hussain… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This paper presents an improved machine learning approach for the accurate and robust
state of charge (SOC) in electric vehicle (EV) batteries using differential search optimized …