A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network

Z Cui, L Wang, Q Li, K Wang - International Journal of Energy …, 2022 - Wiley Online Library
Implementing carbon neutrality and emission peak policies requires a high‐level electric
vehicle field. Lithium‐ion batteries have been considered an essential component of electric …

Current Li-ion battery technologies in electric vehicles and opportunities for advancements

Y Miao, P Hynan, A Von Jouanne, A Yokochi - Energies, 2019 - mdpi.com
Over the past several decades, the number of electric vehicles (EVs) has continued to
increase. Projections estimate that worldwide, more than 125 million EVs will be on the road …

Critical review on the battery state of charge estimation methods for electric vehicles

R Xiong, J Cao, Q Yu, H He, F Sun - Ieee Access, 2017 - ieeexplore.ieee.org
Battery technology is the bottleneck of the electric vehicles (EVs). It is important, both in
theory and practical application, to do research on the modeling and state estimation of …

Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles

Y Zheng, M Ouyang, X Han, L Lu, J Li - Journal of Power Sources, 2018 - Elsevier
Sate of charge (SOC) estimation is generally acknowledged as one of the most important
functions in battery management system for lithium-ion batteries in new energy vehicles …

A hierarchical adaptive extended Kalman filter algorithm for lithium-ion battery state of charge estimation

D Wang, Y Yang, T Gu - Journal of Energy Storage, 2023 - Elsevier
State of charge (SOC) is a key state in the battery management system (BMS). For a second-
order equivalent circuit model (ECM), a hierarchical adaptive extended Kalman filter …

Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries

F Zheng, Y Xing, J Jiang, B Sun, J Kim, M Pecht - Applied energy, 2016 - Elsevier
Battery state of charge (SOC) estimation is a crucial function of battery management systems
(BMSs), since accurate estimated SOC is critical to ensure the safety and reliability of electric …

Overview of lithium-ion battery modeling methods for state-of-charge estimation in electrical vehicles

J Meng, G Luo, M Ricco, M Swierczynski, DI Stroe… - Applied sciences, 2018 - mdpi.com
As a critical indictor in the Battery Management System (BMS), State of Charge (SOC) is
closely related to the reliable and safe operation of lithium-ion (Li-ion) batteries. Model …

An overview and comparison of online implementable SOC estimation methods for lithium-ion battery

J Meng, M Ricco, G Luo, M Swierczynski… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
With the popularity of electrical vehicles, the lithium-ion battery industry is developing
rapidly. To ensure battery safe usage and to reduce its average lifecycle cost, accurate state …

Charging optimization in lithium-ion batteries based on temperature rise and charge time

C Zhang, J Jiang, Y Gao, W Zhang, Q Liu, X Hu - Applied energy, 2017 - Elsevier
Lithium-ion battery fast charging issues have become a main bottleneck of large-scale
deployment of electric vehicles. This paper develops a polarization based charging time and …

A simplified model-based state-of-charge estimation approach for lithium-ion battery with dynamic linear model

J Meng, DI Stroe, M Ricco, G Luo… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The performance of model-based state-of-charge (SOC) estimation method relies on an
accurate battery model. Nonlinear models are thus proposed to accurately describe the …