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[HTML][HTML] Managing the surge: A comprehensive review of the entire disposal framework for retired lithium-ion batteries from electric vehicles
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 …
the need for safe, cost-effective and environmentally friendly disposal technologies has …
Survey on task-centric robot battery management: A neural network framework
The surge in autonomous robotic applications across various sectors highlights the crucial
need for effective robot battery management to ensure robots perform their tasks …
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
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 …
(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 …
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
Accurate state of charge (SOC) estimation provides an essential basis for the functionalities
of battery management systems in electric vehicles (EVs). However, conventional equivalent …
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
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 …
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
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 …
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 …
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 …
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
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 …
plays a decisive role for electric vehicles to fulfill a specific power-intensive task. Generally …