A review on second-life of Li-ion batteries: Prospects, challenges, and issues

M Shahjalal, PK Roy, T Shams, A Fly, JI Chowdhury… - Energy, 2022 - Elsevier
High energy density has made Li-ion battery become a reliable energy storage technology
for transport-grid applications. Safely disposing batteries that below 80% of their nominal …

Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review

A Manoharan, KM Begam, VR Aparow… - Journal of Energy …, 2022 - Elsevier
Abstract In recent years, Artificial Intelligence has been widely used for determining the
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …

A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries

MF Ge, Y Liu, X Jiang, J Liu - Measurement, 2021 - Elsevier
Lithium-ion batteries have been generally used in industrial applications. In order to ensure
the safety of the power system and reduce the operation cost, it is particularly important to …

A review of modeling, acquisition, and application of lithium-ion battery impedance for onboard battery management

X Wang, X Wei, J Zhu, H Dai, Y Zheng, X Xu, Q Chen - ETransportation, 2021 - Elsevier
Impedance is closely related to the internal physical and chemical processes of lithium-ion
batteries. And the properties of the processes can be characterized and thus more detailed …

Critical summary and perspectives on state-of-health of lithium-ion battery

B Yang, Y Qian, Q Li, Q Chen, J Wu, E Luo… - … and Sustainable Energy …, 2024 - Elsevier
The rapid development of lithium-ion battery (LIB) technology promotes its wide application
in electric vehicle (EV), aerospace, and mobile electronic equipment. During application …

A reliable data-driven state-of-health estimation model for lithium-ion batteries in electric vehicles

C Zhang, S Zhao, Z Yang, Y Chen - Frontiers in Energy Research, 2022 - frontiersin.org
The implementation of a precise and low-computational state-of-health (SOH) estimation
algorithm for lithium-ion batteries represents a critical challenge in the practical application …

Advances in batteries, battery modeling, battery management system, battery thermal management, SOC, SOH, and charge/discharge characteristics in EV …

RR Kumar, C Bharatiraja, K Udhayakumar… - Ieee …, 2023 - ieeexplore.ieee.org
The second-generation hybrid and Electric Vehicles are currently leading the paradigm shift
in the automobile industry, replacing conventional diesel and gasoline-powered vehicles …

A comprehensive review of battery state of charge estimation techniques

MU Hassan, S Saha, ME Haque, S Islam… - Sustainable Energy …, 2022 - Elsevier
Battery energy storage systems are becoming an integral part of the modern power grid,
mainly to maximise the utilisation of renewable energy sources and negate the intermittence …

Deep learning networks for capacity estimation for monitoring SOH of Li‐ion batteries for electric vehicles

K Kaur, A Garg, X Cui, S Singh… - International Journal of …, 2021 - Wiley Online Library
Data‐driven modeling using measurable battery signals tends to provide robust battery
capacity estimation without delving deep into electrochemical phenomenon inside the …

Review of state estimation and remaining useful life prediction methods for lithium–ion batteries

J Zhao, Y Zhu, B Zhang, M Liu, J Wang, C Liu, X Hao - Sustainability, 2023 - mdpi.com
The accurate estimation of the state of charge, the state of health and the prediction of
remaining useful life of lithium–ion batteries is an important component of battery …