Globally, the research on battery technology in electric vehicle applications is advancing tremendously to address the carbon emissions and global warming issues. The …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …