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 …

Perspectives and challenges for future lithium-ion battery control and management

Y Wang, X Zhang, K Li, G Zhao, Z Chen - 2023 - Elsevier
The safety issue of the lithium-ion batteries is the key to their application and development.
The management of lithium-ion batteries has been a hot topic of research for many years …

Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends

H Dai, B Jiang, X Hu, X Lin, X Wei, M Pecht - Renewable and Sustainable …, 2021 - Elsevier
Lithium-ion batteries are promising energy storage devices for electric vehicles and
renewable energy systems. However, due to complex electrochemical processes, potential …

State estimation for advanced battery management: Key challenges and future trends

X Hu, F Feng, K Liu, L Zhang, J Xie, B Liu - Renewable and Sustainable …, 2019 - Elsevier
Batteries are presently pervasive in portable electronics, electrified vehicles, and renewable
energy storage. These indispensable engineering applications are all safety-critical and …

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 …

A comprehensive review of available battery datasets, RUL prediction approaches, and advanced battery management

SA Hasib, S Islam, RK Chakrabortty, MJ Ryan… - Ieee …, 2021 - ieeexplore.ieee.org
Battery ensures power solutions for many necessary portable devices such as electric
vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted …

A deep learning method for online capacity estimation of lithium-ion batteries

S Shen, M Sadoughi, X Chen, M Hong, C Hu - Journal of Energy Storage, 2019 - Elsevier
The past two decades have seen an increasing usage of lithium-ion (Li-ion) rechargeable
batteries in diverse applications including consumer electronics, power backup, and grid …

Review on technological advancement of lithium-ion battery states estimation methods for electric vehicle applications

P Shrivastava, PA Naidu, S Sharma… - Journal of Energy …, 2023 - Elsevier
Due to the dynamic and non-linear behavior of lithium-ion battery (LIB) states, the accuracy
of state estimation proportionally impacts the performance of the battery management …

Failure prognosis and applications—A survey of recent literature

M Kordestani, M Saif, ME Orchard… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Fault diagnosis and prognosis are some of the most crucial functionalities in complex and
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …