[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 …

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 …

SOC estimation for lithium-ion battery using the LSTM-RNN with extended input and constrained output

J Chen, Y Zhang, J Wu, W Cheng, Q Zhu - Energy, 2023 - Elsevier
The state of charge (SOC) estimation of lithium-ion battery (LIB) based on recurrent neural
network (RNN) has been a popular research due to its suitability for time series data …

Towards the future of smart electric vehicles: Digital twin technology

G Bhatti, H Mohan, RR Singh - Renewable and Sustainable Energy …, 2021 - Elsevier
Worldwide, transportation accounts for 18% of global carbon dioxide emissions (as of 2019).
In order to battle the impending threat of climate change, consumers and industry must …

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 …

[HTML][HTML] Lithium-ion battery data and where to find it

G Dos Reis, C Strange, M Yadav, S Li - Energy and AI, 2021 - Elsevier
Lithium-ion batteries are fuelling the advancing renewable-energy based world. At the core
of transformational developments in battery design, modelling and management is data. In …

Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review

S Khaleghi, MS Hosen, J Van Mierlo… - … and Sustainable Energy …, 2024 - Elsevier
Prognostics and health management (PHM) has emerged as a vital research discipline for
optimizing the maintenance of operating systems by detecting health degradation and …

Modeling, state of charge estimation, and charging of lithium‐ion battery in electric vehicle: a review

M Adaikkappan… - International Journal of …, 2022 - Wiley Online Library
Extension of driving range and battery run time optimization are necessary key points in the
modeling of Electric Vehicle (EV). In this view, Battery Management System (BMS) plays a …

Kalman filtering techniques for the online model parameters and state of charge estimation of the Li-ion batteries: A comparative analysis

M Hossain, ME Haque, MT Arif - Journal of Energy Storage, 2022 - Elsevier
The state of charge (SoC) is the most commonly used performance indicator of battery used
in various applications. A chronic erroneous estimation of battery SoC may result in constant …

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 …