Impedance analysis of electrochemical systems

V Vivier, ME Orazem - Chemical Reviews, 2022 - ACS Publications
Interpretation of impedance spectroscopy data requires both a description of the chemistry
and physics that govern the system and an assessment of the error structure of the …

Electrochemical impedance spectroscopy: A new chapter in the fast and accurate estimation of the state of health for lithium-ion batteries

M Zhang, Y Liu, D Li, X Cui, L Wang, L Li, K Wang - Energies, 2023 - mdpi.com
Highlights What are the main findings? Rapid acquisition technology of electrochemical
impedance spectroscopy. EIS was used to quickly and effectively estimate the SOH of LIBs …

Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

J Zhu, Y Wang, Y Huang, R Bhushan Gopaluni… - Nature …, 2022 - nature.com
Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion
batteries. In particular, exploiting the relaxation voltage curve features could enable battery …

A review of air-cooling battery thermal management systems for electric and hybrid electric vehicles

G Zhao, X Wang, M Negnevitsky, H Zhang - Journal of Power Sources, 2021 - Elsevier
Abstract Battery Thermal Management System (BTMS) is critical to the battery performance,
which is important to the overall performance of the powertrain system of Electric Vehicles …

[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

Z Wang, G Feng, D Zhen, F Gu, A Ball - Energy Reports, 2021 - Elsevier
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …

[HTML][HTML] Application of electrochemical impedance spectroscopy to commercial Li-ion cells: A review

N Meddings, M Heinrich, F Overney, JS Lee… - Journal of Power …, 2020 - Elsevier
Electrochemical impedance spectroscopy (EIS) is a widely applied non-destructive method
of characterisation of Li-ion batteries. Despite its ease of application, there are inherent …

[HTML][HTML] A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery

X Sui, S He, SB Vilsen, J Meng, R Teodorescu, DI Stroe - Applied Energy, 2021 - Elsevier
Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …

Machine learning pipeline for battery state-of-health estimation

D Roman, S Saxena, V Robu, M Pecht… - Nature Machine …, 2021 - nature.com
Lithium-ion batteries are ubiquitous in applications ranging from portable electronics to
electric vehicles. Irrespective of the application, reliable real-time estimation of battery state …

Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling

H Rauf, M Khalid, N Arshad - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …

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 …