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[HTML][HTML] A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries
Z Ren, C Du - Energy Reports, 2023 - Elsevier
Vehicle electrification has been proven to be an efficient way to reduce carbon dioxide
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …
Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues
Due to urbanization and the rapid growth of population, carbon emission is increasing,
which leads to climate change and global warming. With an increased level of fossil fuel …
which leads to climate change and global warming. With an increased level of fossil fuel …
A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network
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 …
vehicle field. Lithium‐ion batteries have been considered an essential component of electric …
Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling
Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …
high driving range with appropriate reliability and security are identified as the key towards …
Key challenges for a large-scale development of battery electric vehicles: A comprehensive review
Nowadays, several countries have adopted an energy transition policy to achieve carbon
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …
Solar photovoltaic energy optimization methods, challenges and issues: A comprehensive review
The implementation of renewable energy brings numerous advantages including reduction
of power transmission cost and minimization of the global warming problems. The …
of power transmission cost and minimization of the global warming problems. The …
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 …
Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
D Rangel-Martinez, KDP Nigam… - … Research and Design, 2021 - Elsevier
This study presents a broad view of the current state of the art of ML applications in the
manufacturing sectors that have a considerable impact on sustainability and the …
manufacturing sectors that have a considerable impact on sustainability and 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 …