[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

Z Wang, G Feng, D Zhen, F Gu, A Ball - Energy Reports, 2021 - Elsevier
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 …

Modeling, state of charge estimation, and charging of lithium‐ion battery in electric vehicle: a review

M Adaikkappan… - International Journal of …, 2022 - Wiley Online Library
Extension of driving range and battery run time optimization are necessary key points in the
modeling of Electric Vehicle (EV). In this view, Battery Management System (BMS) plays a …

A review of the state of health for lithium-ion batteries: Research status and suggestions

H Tian, P Qin, K Li, Z Zhao - Journal of Cleaner Production, 2020 - Elsevier
Lithium-ion batteries (LIBs) have become the mainstream power source for battery electric
vehicles (BEVs) with relatively superior performance. However, LIBs experience battery …

State estimation for advanced battery management: Key challenges and future trends

X Hu, F Feng, K Liu, L Zhang, J Xie, B Liu - Renewable and Sustainable …, 2019 - Elsevier
Batteries are presently pervasive in portable electronics, electrified vehicles, and renewable
energy storage. These indispensable engineering applications are all safety-critical and …

State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review

DNT How, MA Hannan, MSH Lipu, PJ Ker - Ieee Access, 2019 - ieeexplore.ieee.org
Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising
features of high voltage, high energy density, low self-discharge and long lifecycles. The …

Summary of health-state estimation of lithium-ion batteries based on electrochemical impedance spectroscopy

X Sun, Y Zhang, Y Zhang, L Wang, K Wang - Energies, 2023 - mdpi.com
With the increasing application of lithium-ion batteries, accurate estimation of the state of
health (SOH) of lithium-ion batteries is of great significance for the safe operation of lithium …

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

P Shrivastava, TK Soon, MYIB Idris… - … and Sustainable Energy …, 2019 - Elsevier
Carbon impression and the growing reliance on fossil fuels are two unique concerns for
world emission regulatory agencies. These issues have placed electric vehicles (EVs) …

A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter

C Jiang, S Wang, B Wu, C Fernandez, X Xiong… - Energy, 2021 - Elsevier
The control strategy of electric vehicles mainly depends on the power battery state-of-charge
estimation. One of the most important issues is the power lithium-ion battery state-of-charge …

State-of-health estimation and remaining-useful-life prediction for lithium-ion battery using a hybrid data-driven method

B Gou, Y Xu, X Feng - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Lithium-ion (Li-ion) batteries have been widely applied in industrial applications. It is desired
to predict the health state of batteries to achieve optimal operation and health management …

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

P Li, Z Zhang, Q Xiong, B Ding, J Hou, D Luo… - Journal of power …, 2020 - Elsevier
To improve state-of-health (SOH) estimation and remaining useful life (RUL) prediction, a
prognostic framework shared by multiple batteries is proposed. A variant long-short-term …