Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects

Y Che, X Hu, X Lin, J Guo, R Teodorescu - Energy & Environmental …, 2023 - pubs.rsc.org
Lithium-ion battery aging mechanism analysis and health prognostics are of great
significance for a smart battery management system to ensure safe and optimal use of the …

Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications

S Yang, C Zhang, J Jiang, W Zhang, L Zhang… - Journal of Cleaner …, 2021 - Elsevier
Abstract State-of-health (SOH) monitoring of lithium-ion batteries plays a key role in the
reliable and safe operation of battery systems. Influenced by multiple factors, SOH is an …

A novel method for state of health estimation of lithium-ion batteries based on improved LSTM and health indicators extraction

Y Ma, C Shan, J Gao, H Chen - Energy, 2022 - Elsevier
State of health (SOH) is a crucial challenge to guarantee the reliability and safety of the
electric vehicles (EVs), due to the complex aging mechanism. A novel SOH estimation …

Degradation of commercial lithium-ion cells as a function of chemistry and cycling conditions

Y Preger, HM Barkholtz, A Fresquez… - Journal of The …, 2020 - iopscience.iop.org
Energy storage systems with Li-ion batteries are increasingly deployed to maintain a robust
and resilient grid and facilitate the integration of renewable energy resources. However …

Life‐cycle assessment considerations for batteries and battery materials

J Porzio, CD Scown - Advanced Energy Materials, 2021 - Wiley Online Library
Rechargeable batteries are necessary for the decarbonization of the energy systems, but life‐
cycle environmental impact assessments have not achieved consensus on the …

Machine learning for predicting battery capacity for electric vehicles

J Zhao, H Ling, J Liu, J Wang, AF Burke, Y Lian - ETransportation, 2023 - Elsevier
Predicting the evolution of multiphysics battery systems face severe challenges, including
various aging mechanisms, cell-to-cell variation and dynamic operating conditions. Despite …

Battery health prediction using fusion-based feature selection and machine learning

X Hu, Y Che, X Lin, S Onori - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
State of health (SOH) is a key parameter to assess lithium-ion battery feasibility for
secondary usage applications. SOH estimation based on machine learning has attracted …

How do depth of discharge, C-rate and calendar age affect capacity retention, impedance growth, the electrodes, and the electrolyte in Li-ion cells?

R Gauthier, A Luscombe, T Bond… - Journal of The …, 2022 - iopscience.iop.org
Lithium-ion cells testing under different state of charge ranges, C-rates and cycling
temperature have different degrees of lithium inventory loss, impedance growth and active …

Investigation of lithium-ion battery degradation mechanisms by combining differential voltage analysis and alternating current impedance

J Zhu, MSD Darma, M Knapp, DR Sørensen… - Journal of Power …, 2020 - Elsevier
type cells with 2.5 Ah capacity are cycled at both 25° C and 0° C separately, and at 25° C
two charging protocols (constant current, and constant current-constant voltage charge) are …

Intelligent state of health estimation for lithium-ion battery pack based on big data analysis

L Song, K Zhang, T Liang, X Han, Y Zhang - Journal of Energy Storage, 2020 - Elsevier
State of health (SOH) of in-vehicle lithium-ion batteries not only directly determines the
acceleration performance and driving range of electric vehicles (EVs), but also reflects the …