Towards long lifetime battery: AI-based manufacturing and management

K Liu, Z Wei, C Zhang, Y Shang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …

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 …

Lithium-ion battery capacity and remaining useful life prediction using board learning system and long short-term memory neural network

S Zhao, C Zhang, Y Wang - Journal of Energy Storage, 2022 - Elsevier
In order for lithium-ion batteries to function reliably and safely, accurate capacity and
remaining useful life (RUL) predictions are essential, but challenging. Some current deep …

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 …

Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement

Z Wei, J Zhao, H He, G Ding, H Cui, L Liu - Journal of Power Sources, 2021 - Elsevier
Lithium-ion batteries (LIBs) has seen widespread applications in a variety of fields like the
renewable penetration, electrified transportation, and portable electronics. A reliable battery …

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 …

A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter

C Jiang, S Wang, B Wu, C Fernandez, X Xiong… - Energy, 2021 - Elsevier
The control strategy of electric vehicles mainly depends on the power battery state-of-charge
estimation. One of the most important issues is the power lithium-ion battery state-of-charge …

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

P Li, Z Zhang, Q Xiong, B Ding, J Hou, D Luo… - Journal of power …, 2020 - Elsevier
To improve state-of-health (SOH) estimation and remaining useful life (RUL) prediction, a
prognostic framework shared by multiple batteries is proposed. A variant long-short-term …

Deep deterministic policy gradient-DRL enabled multiphysics-constrained fast charging of lithium-ion battery

Z Wei, Z Quan, J Wu, Y Li, J Pou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Fast charging is an enabling technique for the large-scale penetration of electric vehicles.
This article proposes a knowledge-based, multiphysics-constrained fast charging strategy …

A critical look at coulomb counting approach for state of charge estimation in batteries

K Movassagh, A Raihan, B Balasingam, K Pattipati - Energies, 2021 - mdpi.com
In this paper, we consider the problem of state-of-charge estimation for rechargeable
batteries. Coulomb counting is a well-known method for estimating the state of charge, and it …