[PDF][PDF] A novel battery state of charge estimation method based on the improved unscented transform and the equivalent modeling under complex working conditions

JH Huanga, SL Wanga, C Fernandezb, CM Yua… - researchgate.net
Lithium-ion batteries are becoming more and more popular in industrial and commercial
applications as well as secondary power sources due to their many advantages. In the case …

A novel battery state of charge estimation based on the joint unscented kalman filter and support vector machine algorithms

F Xie, S Wang, Y Xie, C Fernandezb, X Li… - International journal of …, 2020 - Elsevier
With the development of new energy sources becoming the mainstream of energy
development strategies, the role of electric vehicle-powered lithium-ion batteries in the field …

An improved smoothing factor-extended kalman filtering method for accurate online state-of-charge estimation of Lithium-ion battery

Y Zhang, S Wang, W Xu - Journal of Physics: Conference Series, 2022 - iopscience.iop.org
The state of charge of battery is an important index of battery management system. The
Lithium-ion batteries are widely used in various industries, so they are full of uncertainty …

State of charge estimation of lithium-ion battery based on extended Kalman filter algorithm

J Xie, X Wei, X Bo, P Zhang, P Chen, W Hao… - Frontiers in Energy …, 2023 - frontiersin.org
Due to excellent power and energy density, low self-discharge and long life, lithium-ion
battery plays an important role in many fields. Directed against the complexity of above …

Novel reduced-order modeling method combined with three-particle nonlinear transform unscented Kalman filtering for the battery state-of-charge estimation

W Xu, S Wang, C Fernandez, C Yu, Y Fan… - Journal of Power …, 2020 - Springer
Accurate estimation of the lithium-ion battery state of charge plays an important role in the
real-time monitoring and safety control of batteries. In order to solve the problems that the …

Lithium battery state of charge estimation based on adaptive unscented Kalman algorithm

SD Wang, Y Shen, Q Zhang, J Dai… - … Conference on Energy …, 2024 - spiedigitallibrary.org
Lithium-ion batteries are widely used, especially in the field of electric vehicles, so the
prediction of the battery state of charge is particularly important. Due to the changeable …

State of charge estimation of lithium-ion batteries using a grey extended Kalman filter and a novel open-circuit voltage model

H Pan, Z Lü, W Lin, J Li, L Chen - Energy, 2017 - Elsevier
In this study a grey extended Kalman filter and a novel open-circuit voltage model for the
estimation of the state of charge of lithium-ion batteries are presented. To eliminate the …

A novel voltage matching-adaptive extended Kalman filtering construction method for the state of charge prediction of lithium-ion batteries

W Shi, S Wang, L Xia, P Yu, B Li - Transactions of the …, 2021 - journals.sagepub.com
Accurately estimating the state of charge of lithium-ion batteries is of great significance to the
development of the new energy industry. This research proposes a method for estimating …

State of charge estimation for Li-ion battery based on extended Kalman filter

L Zhi, Z Peng, W Zhifu, S Qiang, R Yinan - Energy Procedia, 2017 - Elsevier
It is difficult to estimate Lithium-ion battery state of charge (SOC) accurately. By using
extended Kalman filter (EKF). the interference of system noise can be effectively reduced …

State of charge estimation of lithium ion battery based on parallel Kalman filter

ZHU Yi'nan, LÜ Taolin, Z Zhiyun… - Energy storage science …, 2021 - esst.cip.com.cn
The state of charge (SOC) of lithium-ion batteries is studied, and a parallel Kalman filter-
based SOC estimation algorithm is proposed, with the goal of solving the problem of power …