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 …

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

Y Wang, J Tian, Z Sun, L Wang, R Xu, M Li… - … and Sustainable Energy …, 2020 - Elsevier
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …

State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach

J Tian, R **ong, W Shen, J Lu - Applied Energy, 2021 - Elsevier
State of charge (SOC) estimation constitutes a critical task of battery management systems.
Conventional SOC estimation methods designed for dynamic profiles have difficulties in …

Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook

MSH Lipu, MA Hannan, TF Karim, A Hussain… - Journal of Cleaner …, 2021 - Elsevier
Globally, the research on battery technology in electric vehicle applications is advancing
tremendously to address the carbon emissions and global warming issues. The …

A review on data-driven SOC estimation with Li-Ion batteries: Implementation methods & future aspirations

D Sesidhar, C Badachi, RC Green II - Journal of Energy Storage, 2023 - Elsevier
The goal to minimize global carbon emissions from fossil fuels and diesel-powered vehicles
has encouraged the development of electric vehicles and associated battery storage …

SOC estimation of Li-ion battery using convolutional neural network with U-Net architecture

X Fan, W Zhang, C Zhang, A Chen, F An - Energy, 2022 - Elsevier
Abstract State-of-charge (SOC) is critical to the safe operation and energy management of
electric vehicles. Data-driven SOC estimation algorithms all require a period of data to …

Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

MSH Lipu, MA Hannan, A Hussain, A Ayob… - Journal of Cleaner …, 2020 - Elsevier
Global carbon emissions caused by fossil fuels and diesel-based vehicles have urged the
necessity to move toward the development of electric vehicles and related battery storage …

Machine learning applied to electrified vehicle battery state of charge and state of health estimation: State-of-the-art

C Vidal, P Malysz, P Kollmeyer, A Emadi - Ieee Access, 2020 - ieeexplore.ieee.org
The growing interest and recent breakthroughs in artificial intelligence and machine learning
(ML) have actively contributed to an increase in research and development of new methods …

A review of lithium-ion battery state of charge estimation based on deep learning: Directions for improvement and future trends

Y Liu, Y He, H Bian, W Guo, X Zhang - Journal of Energy Storage, 2022 - Elsevier
With the rapid growth in productivity, the need for fossil has increased, spurring research
and development of new energy sources. In the automotive industry, the development of …

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 …