[HTML][HTML] Robotised disassembly of electric vehicle batteries: A systematic literature review

T Kaarlela, E Villagrossi, A Rastegarpanah… - Journal of Manufacturing …, 2024 - Elsevier
This review examines the robotic disassembly of electric vehicle batteries, a critical concern
as the adoption of electric vehicles increases worldwide. This work provides a …

Roadmap for a sustainable circular economy in lithium-ion and future battery technologies

GDJ Harper, E Kendrick, PA Anderson… - Journal of Physics …, 2023 - iopscience.iop.org
The market dynamics, and their impact on a future circular economy for lithium-ion batteries
(LIB), are presented in this roadmap, with safety as an integral consideration throughout the …

Predicting battery capacity from impedance at varying temperature and state of charge using machine learning

P Gasper, A Schiek, K Smith, Y Shimonishi… - Cell Reports Physical …, 2022 - cell.com
Prediction of battery health from electrochemical impedance spectroscopy (EIS) data can
enable rapid measurement of battery state in real-world applications without using …

A convolutional neural network approach for estimation of li-ion battery state of health from charge profiles

E Chemali, PJ Kollmeyer, M Preindl, Y Fahmy, A Emadi - Energies, 2022 - mdpi.com
Intelligent and pragmatic state-of-health (SOH) estimation is critical for the safe and reliable
operation of Li-ion batteries, which recently have become ubiquitous for applications such …

Predicting the state parameters of lithium ion batteries: the race between filter-based and data driven approaches

SV Pandey, N Parikh, D Prochowicz, S Akin… - Sustainable Energy & …, 2023 - pubs.rsc.org
Lithium ion batteries (LIBs) have revolutionized the era of electrical energy storage by
offering high energy density and longer life cycles in various applications such as electric …

[HTML][HTML] Capacity estimation of lithium-ion batteries based on adaptive empirical wavelet transform and long short-term memory neural network

M Al-Greer, I Bashir - Journal of Energy Storage, 2023 - Elsevier
To ensure the durability and safety of electric vehicles (EVs), it is vital to monitor the capacity
deterioration of lithium-ion batteries (LIBs). However, due to complex physicochemical …

[HTML][HTML] A novel state of health estimation approach based on polynomial model for lithium-ion batteries

G Yüksek, A Alkaya - International Journal of Electrochemical Science, 2023 - Elsevier
Energy management systems are one of the most critical components in a battery unit's safe
and efficient operation. Many measurable or calculable parameters, such as voltage …

Novel co‐estimation strategy based on forgetting factor dual particle filter algorithm for the state of charge and state of health of the lithium‐ion battery

P Ren, S Wang, J Huang, X Chen… - International journal of …, 2022 - Wiley Online Library
For the battery management system, accurate estimation of the state of charge and state of
health is of great significance. Herein, the ternary Li‐ion battery is taken as the research …

[HTML][HTML] Li-ion battery charge transfer stability studies with direct current impedance spectroscopy

Y Bao, Y Gong - Energy Reports, 2023 - Elsevier
The safety of lithium-ion batteries is closely related to the charge transfer process inside the
battery. With the rapid increase in battery usage, battery safety issues have become …

Hyperparameter-optimized cnn and cnn-lstm for predicting the remaining useful life of lithium-ion batteries

A Rastegarpanah, CA Contreras… - … on Intelligent Computing …, 2023 - ieeexplore.ieee.org
This paper introduces novel advancements in predicting the Remaining Useful Life (RUL) of
Lithium-Ion Batteries (LIBs) using Convolutional Neural Network (CNN) and Convolutional …