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 …

[HTML][HTML] Trends in electric vehicles research

M Haghani, F Sprei, K Kazemzadeh… - … research part D …, 2023‏ - Elsevier
Electrification of vehicles has been recognised as a key part of meeting global climate
change targets and a key aspect of sustainable transport. Here, an integrative and bird's-eye …

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 …

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 …

Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression

Z Deng, X Hu, X Lin, Y Che, L Xu, W Guo - Energy, 2020‏ - Elsevier
Since a battery pack consists of hundreds of cells in series and parallel, inconsistencies
between cells make it difficult to create an explicit model to simulate its behaviors effectively …

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 …

An overview of regenerative braking systems

AT Hamada, MF Orhan - Journal of Energy Storage, 2022‏ - Elsevier
The rapid growth of the automotive sector has been associated with numerous benefits;
however, it has also brought about significant environmental deterioration of our planet …

Critical review on the battery state of charge estimation methods for electric vehicles

R **ong, J Cao, Q Yu, H He, F Sun - Ieee Access, 2017‏ - ieeexplore.ieee.org
Battery technology is the bottleneck of the electric vehicles (EVs). It is important, both in
theory and practical application, to do research on the modeling and state estimation of …