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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 …
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
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 …
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
State of charge (SOC) estimation constitutes a critical task of battery management systems.
Conventional SOC estimation methods designed for dynamic profiles have difficulties in …
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
Globally, the research on battery technology in electric vehicle applications is advancing
tremendously to address the carbon emissions and global warming issues. The …
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
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 …
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 …
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
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 …
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
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 …
(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 …
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
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 …
regard, lithium-ion batteries have proven effective as an energy storage option. To optimize …