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 …

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 …

State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach

J Tian, R Xiong, W Shen, J Lu - Applied Energy, 2021 - Elsevier
State of charge (SOC) estimation constitutes a critical task of battery management systems.
Conventional SOC estimation methods designed for dynamic profiles have difficulties in …

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 …

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 …

Combined state of charge and state of energy estimation of lithium-ion battery using dual forgetting factor-based adaptive extended Kalman filter for electric vehicle …

P Shrivastava, TK Soon, MYIB Idris… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the increasing demand for Lithium-ion batteries in an electric vehicle (EV), it is always
crucial to develop a highly accurate and low-cost state estimation method for the battery …

Effect analysis on SOC values of the power lithium manganate battery during discharging process and its intelligent estimation

H Zuo, B Zhang, Z Huang, K Wei, H Zhu, J Tan - Energy, 2022 - Elsevier
In this work, a coupled electrochemical-thermal model of the power lithium manganate
battery under discharging process is established and verified, and its maximum surface …

The co-estimation of state of charge, state of health, and state of function for lithium-ion batteries in electric vehicles

P Shen, M Ouyang, L Lu, J Li… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper proposes a co-estimation scheme of state of charge (SOC), state of health (SOH),
and state of function (SOF) for lithium-ion batteries in electric vehicles. The co-estimation …

Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles

Y Zheng, M Ouyang, X Han, L Lu, J Li - Journal of Power Sources, 2018 - Elsevier
Sate of charge (SOC) estimation is generally acknowledged as one of the most important
functions in battery management system for lithium-ion batteries in new energy vehicles …

A multi-timescale estimator for battery state of charge and capacity dual estimation based on an online identified model

Z Wei, J Zhao, D Ji, KJ Tseng - Applied energy, 2017 - Elsevier
Reliable online estimation of state of charge (SOC) and capacity is critically important for the
battery management system (BMS). This paper presents a multi-timescale method for dual …