[HTML][HTML] Managing the surge: A comprehensive review of the entire disposal framework for retired lithium-ion batteries from electric vehicles

R Guo, F Wang, MA Rhamdhani, Y Xu… - Journal of Energy …, 2024 - Elsevier
Anticipating the imminent surge of retired lithium-ion batteries (R-LIBs) from electric vehicles,
the need for safe, cost-effective and environmentally friendly disposal technologies has …

Survey on task-centric robot battery management: A neural network framework

Z Lin, Z Huang, S Yang, C Wu, S Fang, Z Liu… - Journal of Power …, 2024 - Elsevier
The surge in autonomous robotic applications across various sectors highlights the crucial
need for effective robot battery management to ensure robots perform their tasks …

A curve relocation approach for robust battery open circuit voltage reconstruction and capacity estimation based on partial charging data

R Guo, Y Xu, C Hu, W Shen - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
This article proposes a curve relocation approach for robust battery open circuit voltage
(OCV) reconstruction and capacity estimation based on partial charging data. First, an …

Comparative analysis of equivalent circuit battery models for electric vehicle battery management systems

M Tekin, Mİ Karamangil - Journal of Energy Storage, 2024 - Elsevier
Lithium-ion batteries need to be controlled by a Battery Management System (BMS) to
operate safely and efficiently. BMS controls parameters, such as current, voltage …

Self-adaptive neural network-based fractional-order nonlinear observer design for state of charge estimation of lithium-ion batteries

R Guo, Y Xu, C Hu, W Shen - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
Accurate state of charge (SOC) estimation provides an essential basis for the functionalities
of battery management systems in electric vehicles (EVs). However, conventional equivalent …

Transductive transfer learning-assisted hybrid deep learning model for accurate state of charge estimation of li-ion batteries in electric vehicles

SKR Moosavi, MH Zafar, A Saadat… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Accurate estimation of the State of Charge (SoC) of Li-Ion batteries is crucial for secure and
efficient energy consumption in electric vehicles (EVs). Traditional SoC estimation methods …

[HTML][HTML] Recent advancements in battery state of power estimation technology: A comprehensive overview and error source analysis

R Guo, W Shen - Journal of Energy Storage, 2024 - Elsevier
As a crucial indicator of lithium-ion battery performance, state of power (SOP) characterizes
the peak power capability that can be delivered or absorbed within a short period of time …

An innovative square root-untraced Kalman filtering strategy with full-parameter online identification for state of power evaluation of lithium-ion batteries

S Wang, Q Dang, Z Gao, B Li, C Fernandez… - Journal of Energy …, 2024 - Elsevier
In the context of the thriving development of new energy vehicles, lithium-ion batteries, as a
crucial component of the power storage system, will increasingly contribute to the strategic …

Construction of battery charge state prediction model for new energy electric vehicles

D Luo, X Hu, W Ji - Computers and Electrical Engineering, 2024 - Elsevier
New energy vehicles have made considerable achievements after nearly a decade of
development, but the range and safety of automobile battery packs are still a difficult …

Battery peak power assessment under various operational scenarios: A comparative study

R Guo, C Hu, W Shen - IEEE Transactions on Transportation …, 2024 - ieeexplore.ieee.org
The peak power capability of lithium-ion batteries (LIBs), or so-called state of power (SOP),
plays a decisive role for electric vehicles to fulfill a specific power-intensive task. Generally …