[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 …

Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues

MA Hannan, SB Wali, PJ Ker, MS Abd Rahman… - Journal of Energy …, 2021 - Elsevier
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 …

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 …

Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling

H Rauf, M Khalid, N Arshad - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
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 …

Key challenges for a large-scale development of battery electric vehicles: A comprehensive review

BE Lebrouhi, Y Khattari, B Lamrani, M Maaroufi… - Journal of Energy …, 2021 - Elsevier
Nowadays, several countries have adopted an energy transition policy to achieve carbon
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …

Solar photovoltaic energy optimization methods, challenges and issues: A comprehensive review

OA Al-Shahri, FB Ismail, MA Hannan, MSH Lipu… - Journal of Cleaner …, 2021 - Elsevier
The implementation of renewable energy brings numerous advantages including reduction
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

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 …

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 …

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 …